diff --git a/MTH_190_Intro_to_DS.Rproj b/MTH_190_Intro_to_DS.Rproj deleted file mode 100644 index 8e3c2eb..0000000 --- a/MTH_190_Intro_to_DS.Rproj +++ /dev/null @@ -1,13 +0,0 @@ -Version: 1.0 - -RestoreWorkspace: Default -SaveWorkspace: Default -AlwaysSaveHistory: Default - -EnableCodeIndexing: Yes -UseSpacesForTab: Yes -NumSpacesForTab: 2 -Encoding: UTF-8 - -RnwWeave: Sweave -LaTeX: pdfLaTeX diff --git a/MY-MDSR-SOLUTIONS/Chapter 1 Problems/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 1 Problems/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 1 Problems/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 2 Problems/Chapter 2 Problems.Rproj b/MY-MDSR-SOLUTIONS/Chapter 2 Problems/Chapter 2 Problems.Rproj deleted file mode 100644 index 8e3c2eb..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 2 Problems/Chapter 2 Problems.Rproj +++ /dev/null @@ -1,13 +0,0 @@ -Version: 1.0 - -RestoreWorkspace: Default -SaveWorkspace: Default -AlwaysSaveHistory: Default - -EnableCodeIndexing: Yes -UseSpacesForTab: Yes -NumSpacesForTab: 2 -Encoding: UTF-8 - -RnwWeave: Sweave -LaTeX: pdfLaTeX diff --git a/MY-MDSR-SOLUTIONS/Chapter 2 Problems/Problem_1.Rmd b/MY-MDSR-SOLUTIONS/Chapter 2 Problems/Problem_1.Rmd deleted file mode 100644 index 0aa0b77..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 2 Problems/Problem_1.Rmd +++ /dev/null @@ -1,23 +0,0 @@ ---- -title: "2_7_1" -author: "Schwab" -date: "2/21/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -``` - -Problem 1 (Easy): Consider the following data graphic. - -Q: The am variable takes the value 0 if the car has automatic transmission and 1 if the car has manual transmission. How could you differentiate the cars in the graphic based on their transmission type? - -A: set color = am - -```{r} -ggplot(mtcars, aes(disp,mpg,color=am)) + - geom_point() -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 2 Problems/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 2 Problems/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 2 Problems/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Chapter 3 Problems.Rproj b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Chapter 3 Problems.Rproj deleted file mode 100644 index 8e3c2eb..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Chapter 3 Problems.Rproj +++ /dev/null @@ -1,13 +0,0 @@ -Version: 1.0 - -RestoreWorkspace: Default -SaveWorkspace: Default -AlwaysSaveHistory: Default - -EnableCodeIndexing: Yes -UseSpacesForTab: Yes -NumSpacesForTab: 2 -Encoding: UTF-8 - -RnwWeave: Sweave -LaTeX: pdfLaTeX diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Chapter 3 extended exmple.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Chapter 3 extended exmple.Rmd deleted file mode 100644 index f6e00eb..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Chapter 3 extended exmple.Rmd +++ /dev/null @@ -1,96 +0,0 @@ ---- -title: 'Extended example: Historical Baby Names' -author: "Schwab" -date: "3/6/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -BabynamesDist <- make_babynames_dist() -wtd_quantile <- Hmisc::wtd.quantile -``` - -```{r} -com_fem <- BabynamesDist %>% - filter(n > 100, sex == "F") %>% - group_by(name) %>% - mutate(wgt = est_alive_today / sum(est_alive_today)) %>% - summarize( - N = n(), - est_num_alive = sum(est_alive_today), - quantiles = list( - wtd_quantile( - age_today, est_alive_today, probs = 1:3/4, na.rm = TRUE - ) - ) - ) %>% - mutate(measures = list(c("q1_age", "median_age", "q3_age"))) %>% - unnest(cols = c(quantiles, measures)) %>% - pivot_wider(names_from = measures, values_from = quantiles) %>% - arrange(desc(est_num_alive)) %>% - head(25) -``` - - -```{r} -w_plot <- ggplot( - data = com_fem, - aes(x = reorder(name, -median_age), y = median_age) -) + - xlab(NULL) + - ylab("Age (in years)") + - ggtitle("Median ages for females with the 25 most common names") - -``` - -```{r} -w_plot <- w_plot + - geom_linerange( - aes(ymin = q1_age, ymax = q3_age), - color = "#f3d478", - size = 4.5, - alpha = 0.8 - ) -``` - -```{r} -w_plot <- w_plot + - geom_point( - fill = "#ed3324", - color = "white", - size = 2, - shape = 21 - ) -context <- tribble( - ~median_age, ~x, ~label, - 65, 24, "median", - 29, 16, "25th", - 48, 16, "75th percentile", -) - -age_breaks <- 1:7 * 10 + 5 - -w_plot + - geom_point( - aes(y = 60, x = 24), - fill = "#ed3324", - color = "white", - size = 2, - shape = 21 - ) + - geom_text(data = context, aes(x = x, label = label)) + - geom_point(aes(y = 24, x = 16), shape = 17) + - geom_point(aes(y = 56, x = 16), shape = 17) + - geom_hline( - data = tibble(x = age_breaks), - aes(yintercept = x), - linetype = 3 - ) + - scale_y_continuous(breaks = age_breaks) + - coord_flip() - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_1.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_1.Rmd deleted file mode 100644 index 667578b..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_1.Rmd +++ /dev/null @@ -1,41 +0,0 @@ ---- -title: "Problem_1" -author: "Schwab" -date: "2/21/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -``` - -Problem 1 (Easy): Angelica Schuyler Church (1756–1814) was the daughter of New York Governer Philip Schuyler and sister of Elizabeth Schuyler Hamilton. Angelica, New York was named after her. Using the babynames package generate a plot of the reported proportion of babies born with the name Angelica over time and interpret the figure. - -```{r Angelica-name-plot} -#This uses the filter verb, which the students need for most of the chapter 3 problems. - -babynames %>% - filter(name == "Angelica") %>% #Filter for only the names Angelica - ggplot( aes(year,prop))+ - geom_point() #I think this is the plot that the question is asking for. -``` - - - -```{r Angelica-baby-names-suming-gender} -#This chunk uses filter verbs that are not cover until chapter 4, but demonstrates how to combine male and female Angelica babies. - -Angelica <- babynames %>% - filter(name == "Angelica") %>% #Filter for only the names Angelica - group_by(year) %>% #Group by year to combine both male and female births - mutate(total_gender_prop = sum(prop)) #This should sum the proportion of male and female births - - -Angelica %>% - ggplot(aes(year,total_gender_prop))+ - geom_point() -``` - diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_10.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_10.Rmd deleted file mode 100644 index 96821d0..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_10.Rmd +++ /dev/null @@ -1,127 +0,0 @@ ---- -title: "Problem_10" -author: "Schwab" -date: "3/2/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(ggthemes) -library(stringr) -babynames_dist <- make_babynames_dist() -options(scipen=1000) -update_geom_defaults("bar", list(fill = "yellow","blue")) -``` - -I'm not done with this problem and I'm stuck. How do I do this without the verbs? - -Problem 10 (Hard): Use the function in the mdsr package to recreate the “Deadest Names” graphic from FiveThirtyEight (https://fivethirtyeight.com/features/how-to-tell-someones-age-when-all-you-know-is-her-name). - -```{r} -glimpse(babynames_dist) -``` - -```{r} -babynames_dist %>% - filter(name=="Sam") -``` - -```{r} -babynames_dist %>% - mutate(est_dead=n-est_alive_today) %>% - #filter(sex=="M") %>% - group_by(name) %>% - summarise(percent_dead=100*sum(est_dead)/sum(n)) %>% - filter(name=="Sam") - -``` - -```{r} -babynames_dist %>% - group_by(sex,name) %>% - summarise(sum(n),dead=sum(n)-sum((trunc(est_alive_today))),percent_dead=dead/sum(n)) %>% - filter(name=="Mabel") -``` - -Trying to filter by popular names - -```{r} - -head(babynames_dist) - -dead_fem_names <- babynames_dist %>% - group_by(name) %>% - mutate(largest_prop=sum(prop),most_total_births=sum(n), dead = n-trunc(est_alive_today)) %>% - filter( sex == "F" ) %>% - group_by(name) %>% - summarise(largest_prop, most_total_births,percent_dead = 100*(sum(dead)/sum(n)),sex )%>% - #distinct() %>% - #filter(name %in% list("Mabel","Gertrude","Myrtle","Blanche","Beulah","Bessie","Pearl","Ethel","Minnie","Viola")) %>% - arrange(desc(percent_dead)) %>% - top_n(largest_prop,n=10) - - - -dead_male_names <- babynames_dist %>% - filter( sex == "M" ) %>% - mutate(dead = n-trunc(est_alive_today)) %>% - group_by(name) %>% - summarise(percent_dead = 100*(sum(dead)/sum(n)) )%>% - - arrange(desc(percent_dead)) %>% - slice_max(percent_dead,n=10,with_ties=FALSE) %>% - mutate(sex="M") - -dead_fem_names -dead_male_names -``` - -```{r} -#I choose the names for female here - -list_of_fem_names <- list("Mabel","Gertrude","Myrtle","Blanche","Beulah","Bessie","Pearl","Ethel","Minnie","Viola") - -dead_fem_names <- babynames_dist %>% - filter(name %in% list_of_fem_names, sex == "F" ) %>% #This filters by the names in the list_of_fem_names - mutate(dead = n-trunc(est_alive_today)) %>% #This is a dead variable the number of people born minus those that are alive today. - group_by(name) %>% - summarise(percent_dead = 100*(sum(dead)/sum(n)) )%>% #I made a variable that shows the percent of people who died - arrange(desc(percent_dead)) %>% - mutate(sex="F") #Add the sex variable - -# I repeated the process for males as females. -list_of_male_names <- list("Elmer","Clarence","Harry","Chester","Willard","Herman","Herbert","Claude","Fred","Sam") - -dead_male_names <- babynames_dist %>% - filter(name %in% list_of_male_names, sex == "M" ) %>% - mutate(dead = n-trunc(est_alive_today)) %>% - group_by(name) %>% - summarise(percent_dead = 100*(sum(dead)/sum(n)) )%>% - arrange(desc(percent_dead)) %>% - mutate(sex="M") - - -twenty_dead_names <- dead_fem_names %>% - full_join( dead_male_names) #I joined the two tables here and call is twenty dead names. - - -twenty_dead_names %>% - ggplot(aes(x= reorder(name,+percent_dead),y=percent_dead,fill=sex))+ #reorder puts higher percent at top - geom_bar(stat= "identity",show.legend = FALSE ) + #turns of legend - labs(title="Deadest Names", subtitle = str_wrap("Estimated percentage of Americans with a given name born since 1900 who were dead as of Jan 1, 2010" ,65))+ #str_wrap() wraps the subtitle - coord_flip(ylim=c(30,80)) + # Just makes the graph horizontal and limits the y-values - - geom_text(aes(label=trunc(percent_dead)),hjust=-0.5)+ #This adds the numbers at the end of the bars - theme_fivethirtyeight()+ # This starts the 538 theme and font - theme(axis.line=element_blank(),panel.background=element_blank(),axis.ticks = element_blank(),panel.grid.major =element_blank(), axis.text.x = element_blank())+ #this turns off all extra numbers and axes - scale_fill_manual("legend", values = c("F" = "#e5ae38", "M" = "#30a2da")) #This sets the colors for male and female based on 538 color theme I found here https://www.color-hex.com/color-palette/13650 - - -``` - - - - diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_2.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_2.Rmd deleted file mode 100644 index 38cf263..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_2.Rmd +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: "Problem 3.2" -author: "Schwab" -date: "2/21/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(nasaweather) -``` - -Problem 2 (Easy): Using data from the nasaweather package, create a scatterplot between wind and pressure, with color being used to distinguish the type of storm. - -```{r wind-v-pressure} -ggplot(storms,aes(wind,pressure,color=type)) + #Just plotting some storm data - geom_point() -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_3.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_3.Rmd deleted file mode 100644 index c487d8a..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_3.Rmd +++ /dev/null @@ -1,39 +0,0 @@ ---- -title: "Problem 3.3" -author: "Nic Schwab" -date: "2/21/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(mosaicData) -library(knitr) -``` - -Problem 3 (Medium): The following questions use the `r Marriage` data set from the mosaicData package. `r library(mosaicData)` --1 Create an informative and meaningful data graphic. --2 Identify each of the visual cues that you are using, and describe how they are related to each variable. --3 Create a data graphic with at least five variables (either quantitative or categorical). For the purposes of this exercise, do not worry about making your visualization meaningful—just try to encode five variables into one plot. - - -The bar graph uses length to show the number of brides or grooms. It is using color to separate brides from grooms. -```{r Marriage_data_graphic} -Marriage %>% - ggplot(aes(race,fill=person)) + - geom_bar() #I don't think the students can group_by() yet this just shows the bride and grooms by race -``` - -```{r} -#This is my attempt at 5 different variables. - -# Got 5 its not pretty -Marriage %>% - ggplot(aes(dayOfBirth, college,color=prevconc , shape=officialTitle)) + #The color is set to prevconc and the shape to the Offical Title of the person doing the marrying. - geom_point()+ #Its a point plot - facet_grid(cols=vars(person))+ #This makes two plots, one for bide and one for groom. - theme_classic() #I just like how this theme cleans things up. -``` - diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_3.pdf b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_3.pdf deleted file mode 100644 index da1b314..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_3.pdf and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_4.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_4.Rmd deleted file mode 100644 index 8792be3..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_4.Rmd +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: "Problem 4" -author: "Schwab" -date: "2/27/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(macleish) -``` - -I cannot get the sf packages to install correctly. I cannot do this problem on Linux, but I can on Windows. - -```{r} -ggplot(whately_2015, aes(when, temperature))+ - #geom_point() - geom_line() -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_5.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_5.Rmd deleted file mode 100644 index 0fc05ef..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_5.Rmd +++ /dev/null @@ -1,15 +0,0 @@ ---- -title: "Problem 4" -author: "Schwab" -date: "2/27/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -``` -# I had to run this line in linux mint 19: sudo aptitude install libgdal-dev to install macleish... didn't work - - diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_6.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_6.Rmd deleted file mode 100644 index 579fe3c..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_6.Rmd +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: "Problem 6" -author: "Schwab" -date: "2/28/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(mosaic) -library(mdsr) -library(tidyverse) -``` - -Go for 7 variables in one graphic: - -```{r} -ggplot(MLB_teams,aes(W,L,size=payroll,alpha=0.5,color=lgID)) + - geom_jitter()+ - facet_wrap(vars(lgID)) -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_7.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_7.Rmd deleted file mode 100644 index 21d8dee..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_7.Rmd +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: "Problem 7" -author: "Schwab" -date: "2/28/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(mosaicData) -``` - -```{r} -ggplot(data=RailTrail,aes(hightemp,volume))+ - geom_point() - facet_grid(rows=vars(weekday)) - -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_8.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_8.Rmd deleted file mode 100644 index ab913f6..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_8.Rmd +++ /dev/null @@ -1,21 +0,0 @@ ---- -title: "Problem 8" -author: "Schwab" -date: "3/2/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(mosaic) -library(mdsr) -library(nasaweather) -``` - -Problem 8 (Medium): Using data from the nasaweather package, use the geom_path function to plot the path of each tropical storm in the storms data table. Use color to distinguish the storms from one another, and use faceting to plot each year in its own panel. - -```{r} -ggplot(data=storms,aes(long,lat,color=name))+ - facet_grid(cols = vars(year))+ - geom_path(show.legend = FALSE) # I turned the legend off so I could see the image better. 3 -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_9.Rmd b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_9.Rmd deleted file mode 100644 index 38c3856..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/Problem_9.Rmd +++ /dev/null @@ -1,31 +0,0 @@ ---- -title: "Problem 9" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(mosaic) -library(mdsr) -library(palmerpenguins) -``` - -Problem 9 (Medium): Using the penguins data set from the palmerpenguins package: - -Create a scatterplot of bill_length_mm against bill_depth_mm where individual species are colored and a regression line is added to each species. Add regression lines to all of your facets. What do you observe about the association of bill depth and bill length? - -```{r} -ggplot(data=penguins,aes(bill_length_mm,bill_depth_mm,color=species))+ - geom_point()+ - geom_smooth(method=lm) -``` - - -Repeat the same scatterplot but now separate your plot into facets by species. How would you summarize the association between bill depth and bill length. - -```{r} -ggplot(data=penguins,aes(bill_length_mm,bill_depth_mm))+ - geom_point()+ - facet_grid(cols = vars(species))+ - geom_smooth(method=lm,se=FALSE) -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 3 Problems/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 3 Problems/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Chapter 4.Rproj b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Chapter 4.Rproj deleted file mode 100644 index 8e3c2eb..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Chapter 4.Rproj +++ /dev/null @@ -1,13 +0,0 @@ -Version: 1.0 - -RestoreWorkspace: Default -SaveWorkspace: Default -AlwaysSaveHistory: Default - -EnableCodeIndexing: Yes -UseSpacesForTab: Yes -NumSpacesForTab: 2 -Encoding: UTF-8 - -RnwWeave: Sweave -LaTeX: pdfLaTeX diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 1.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 1.Rmd deleted file mode 100644 index ba23a86..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 1.Rmd +++ /dev/null @@ -1,38 +0,0 @@ ---- -title: "Problem 1" -author: "Schwab" -date: "4/1/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) - -#This makes the Random_subset -Random_subset <- babynames %>% - filter(year=="2003" & name=="Bilal" & sex =="M" |year=="1999" & name=="Terria" & sex =="F" |year=="2010" & name=="Naziyah" & sex =="F" |year=="1989" & name=="Shawana" & sex =="F" |year=="1989" & name=="Jessi" & sex =="F" |year=="1928" & name=="Tillman" & sex =="M"|year=="1981" & name=="Leslee" & sex =="F" |year=="1981" & name=="Sherise" & sex =="F"|year=="1920" & name=="Marquerite" & sex =="F" |year=="1941" & name=="Lorraine" & sex =="M") -``` - -```{r part_a} - -Random_subset %>% filter( n>40 & n<85) -``` - -```{r part_b} - -Random_subset %>% filter(6 == nchar(name)) -``` - -```{r part_c} -Random_subset %>% mutate(total=n/prop) %>% filter(total >1990000 & sex=="F") -``` - -```{r part_d} -Random_subset %>% - group_by(year) %>% - - summarise(total=sum(n)) -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 10.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 10.Rmd deleted file mode 100644 index 452691c..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 10.Rmd +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: "Problem 10" -author: "Schwab" -date: "4/13/2022" -output: pdf_document ---- - - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(Lahman) -``` - -```{r} -#Creating a factor called election, can I do this with mod arithmetic - - -Teams %>% - mutate(election=trunc((yearID-1788)/4)) %>% #The trunc() function drops the decimal, the first election is 1788 - group_by(election) %>% - summarise(total_HR=sum(HR)) %>% #This summaries the homeruns - arrange(desc(total_HR)) #This arranges it by most to least. - - -``` - diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 11.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 11.Rmd deleted file mode 100644 index 0e3f1a5..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 11.Rmd +++ /dev/null @@ -1,65 +0,0 @@ ---- -title: "Problem 11" -author: "Schwab" -date: "4/13/2022" -output: pdf_document ---- - - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(mdsr) -``` - -```{r} -head(Violations) -``` - -The first part below is incorrect. I'm accidentily double counting all the zip codes in the mutate function - - -```{r} -Violations %>% - group_by(zipcode) %>% - mutate(number_of_violation=n()) %>% #This line counts the number of violations - - filter( - number_of_violation >49 - ) %>% - - summarise( - median_score=median(score,na.rm=TRUE), - number_o_inspection=number_of_violation - ) %>% #I had to strip the median score so that the value would match the favstats(score~zipcode,data=Violations) output. Is the point that we should not do that? - - arrange(desc(median_score)) %>% - distinct() %>% - ggplot(aes(median_score,number_o_inspection))+ - geom_col()+ - labs(y="Number of inspections by zip code",x="median score") - - -``` - -```{r} -Violations %>% - group_by(zipcode) %>% - filter( - n()>49, - boro == "MANHATTAN") %>% #filter the number of violations to be greater than 49 - - summarise( - median_score=median(score,na.rm=TRUE), - number_of_inspections=n() - ) %>% #I had to strip the median score so that the value would match the favstats(score~zipcode,data=Violations) output. Is the point that we should not do that? - - ggplot(aes(median_score,number_of_inspections)) + #plotting score vs inspection - geom_point() + - labs( - x="Median Score", - y="Number of Inspections") - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 12.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 12.Rmd deleted file mode 100644 index 3056472..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 12.Rmd +++ /dev/null @@ -1,100 +0,0 @@ ---- -title: "Problem 12" -author: "Schwab" -date: "4/14/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(mdsr) -library(nycflights13) -``` - -```{r} -head(weather) -``` - -```{r part_a} -#This is with a dot plot, I should probably use select instead of summarize. It shows the average temperature by day in July. Its hard to see the wind_speed outliers in the graph by color or shape. -weather %>% - group_by( - month, - day) %>% - summarise( - average_temp=mean(temp), - month, - day, - average_wind_speed=mean(wind_speed)) %>% - filter(month==7) %>% - distinct() %>% - ggplot(aes(day,average_temp,color=(average_wind_speed))) + - geom_point() - - - -``` - -Find some wind speed outliers . -```{r part_a_cont} -weather %>% - group_by( - month, - day) %>% - - filter( - month==7) %>% - - ggplot(aes(wind_speed)) + - geom_boxplot() -#WindSpeed greater than 21 are outliers and they happen three times -weather %>% - group_by(month,day) %>% - filter( - month==7, - wind_speed>21) #This is just to show the outliers - -``` - -The relationship between dewp and humid is that they are positively correlated. -```{r part_b} -#This is every hour -weather %>% - #group_by(month,day) %>% - ggplot(aes(dewp,humid)) + - geom_point() - -#This shows the average dewpoint vs average humidity by day -weather %>% - group_by(month,day) %>% - summarise(ave_dewp=mean(dewp),ave_humid=mean(humid))%>% - ggplot(aes(ave_dewp,ave_humid)) + - geom_point() + - geom_smooth(method=lm) - -#This shows the average dewpoint vs average humidity by month -weather %>% - group_by(month) %>% - summarise(ave_dewp=mean(dewp),ave_humid=mean(humid))%>% - ggplot(aes(ave_dewp,ave_humid)) + - geom_point() + - geom_smooth(method=lm) -``` - -```{r part_c} -#This is every hour. Its hard to see the relationship here -weather %>% - #group_by(month,day) %>% - ggplot(aes(precip,visib)) + - geom_jitter() - -#It is easier to see the relationship by day. There is a big clump of points at 10 miles when the average precipitation is zero. I wonder if there is a better way to visulize this. -weather %>% - group_by(month,day) %>% - summarise(average_precip=mean(precip),average_visib=mean(visib)) %>% - ggplot(aes(average_visib,average_precip)) + - geom_count() -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 13.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 13.Rmd deleted file mode 100644 index ce4b6a0..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 13.Rmd +++ /dev/null @@ -1,39 +0,0 @@ ---- -title: "Problem_13" -author: "Schwab" -date: "4/15/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(Lahman) - -``` - -```{r part_a_and_b} -Teams %>% - #Filter by the teamIDs which are relevant to the Angels - filter( - teamID %in% c("CAL","ANA","LAA") - )%>% - #Add the success column, I imgine all the games are regular season, W=wins, G=games - mutate( - success= W/G - ) %>% - #select the required variables - select(success,yearID,teamID,lgID,W,L,WSWin) %>% - #slice th top 10 - slice_max(order_by = success,n=10) - -Teams %>% - #Filter by the teamIDs which are relevant to the Angels - filter( - teamID %in% c("CAL","ANA","LAA") & WSWin =="Y") - - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 14.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 14.Rmd deleted file mode 100644 index 15347b7..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 14.Rmd +++ /dev/null @@ -1,41 +0,0 @@ ---- -title: "Problem_14" -author: "Schwab" -date: "4/15/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(nycflights13) - -``` - -Use the nycflights13 package and the flights data frame to answer the following question: What plane (specified by the tailnum variable) traveled the most times from New York City airports in 2013? Plot the number of trips per week over the year. - -```{r} -#I think because count is grouping the flights by tailnum and group_by is also doing that they both does simultaniously work with slice_max() - -flights %>% - #group_by(tailnum)%>% - count(tailnum) %>% - slice_max(order_by = n,n=2) - -#Jan 1, 2013 was a Tuesday. It seems cool to start a week on Tuesday. The weeks are correct now, why does that tailnumber abruptly stop on Sept 30? -N725MQ_by_weeks<- flights %>% - filter(tailnum== "N725MQ") %>% - #This line changed the format to weeks. - mutate( - Week= format(time_hour, format= "%W" - )) %>% - #Here I'm just counting the number of flights by week. - count(Week,name = "Number_of_Flights") - - -N725MQ_by_weeks %>% - ggplot(aes(Week,Number_of_Flights))+ - geom_point() -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 15.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 15.Rmd deleted file mode 100644 index 1376840..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 15.Rmd +++ /dev/null @@ -1 +0,0 @@ -My package of R didn't agree with Problem 15. So I'll give it a go another day. -Nic \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 2.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 2.Rmd deleted file mode 100644 index 9a7e357..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 2.Rmd +++ /dev/null @@ -1,54 +0,0 @@ ---- -title: "Problem 2" -author: "Schwab" -date: "4/1/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -``` - -```{r part_a} -#babynames %>% select(n>100) -#this should be a filter -babynames %>% filter(n>100) -``` - -```{r part_b} -babynames %>% select(-year) -#There is nothing wrong with this, it is removing the year column -``` - -```{r part_c} -#babynames %>% mutate(name_length == nchar(name)) -#There are two equal signs it should be one. -babynames %>% mutate(name_length = nchar(name)) -``` - -```{r part_d} -#babynames %>% sex == M %>% select(-prop) -#This is missing a filter and needs quotes it should be -babynames %>% filter(sex == "M") %>% select(-prop) -``` - -```{r part_e} -babynames %>% select(year, year, sex) -#Nothing is wrong with this, but there is an extra year. -``` - -```{r part_f} -babynames %>% group_by(n) %>% summarize(ave = mean(n)) -#I think this means to group by year and find the average number of children born per name. Maybe its by name -babynames %>% group_by(year) %>% summarize(ave = mean(n)) -#Group_by(names) shows the average number of children born that year. -babynames %>% group_by(name) %>% summarize(ave = mean(n)) -``` - -```{r part_g} -babynames %>% group_by(n > 100) %>% summarize(total = n()) -# I don't think this is wrong. Its counting the number of times a name is used more than 100 times in a year for a baby. -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 3.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 3.Rmd deleted file mode 100644 index 483095a..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 3.Rmd +++ /dev/null @@ -1,30 +0,0 @@ ---- -title: "Problem 3" -author: "Schwab" -date: "4/1/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -``` - - -```{r} -# mtcars %>% -# group_by(cyl) %>% -# summarize(avg_mpg = mean(mpg)) %>% -# filter(am == 1) -## The filter and summarize functions should be switched. - -library(tidyverse) -mtcars %>% - group_by(cyl) %>% - filter(am == 1) %>% - summarize(avg_mpg = mean(mpg)) - - -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 4.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 4.Rmd deleted file mode 100644 index 9821460..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 4.Rmd +++ /dev/null @@ -1,30 +0,0 @@ ---- -title: "Problem 4" -author: "Schwab" -date: "4/1/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(Lahman) -``` - -```{r part_a_&_b} - -Teams_SLG <- Teams %>% mutate(BA= H/AB, TB= (R-X2B-X3B-HR)+2*X2B+3*X3B+4*HR,SLG=TB/AB) - -``` - -```{r part_c} -Teams_SLG %>% ggplot(aes(x=yearID,y=SLG))+ - geom_smooth() -``` - -```{r part_d} -Teams_SLG %>% ggplot(aes(x=yearID,y=BA))+ - geom_smooth() -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 5.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 5.Rmd deleted file mode 100644 index a56b929..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 5.Rmd +++ /dev/null @@ -1,26 +0,0 @@ ---- -title: "Problem 5" -author: "Schwab" -date: "4/8/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(Lahman) -``` - -```{r} -mtcars %>% - group_by(cyl) %>% - summarize( - N = n(), - avg_mpg = mean(mpg) - ) -``` -N is the number of cars with a given number of cylinders - diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 6.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 6.Rmd deleted file mode 100644 index 8794d5c..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 6.Rmd +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: "Problem 6" -author: "Schwab" -date: "4/8/2022" -output: pdf_document ---- - - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(Lahman) -``` - -a. summarise(average= mean(variable)) -b. mutate() -c. arrange() -d. filter() -e. select() - - - diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 7.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 7.Rmd deleted file mode 100644 index 5b9a18b..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 7.Rmd +++ /dev/null @@ -1,39 +0,0 @@ ---- -title: "Problem 7" -author: "Schwab" -date: "4/8/2022" -output: pdf_document ---- - - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - -library(tidyverse) -library(mdsr) -library(babynames) -library(Lahman) -``` - - -view() -```{r making_the_SLG} -#R is total runs. If you subtract doubles and triples and homeruns thats singles right? -Teams_SLG <- Teams %>% mutate(BA= H/AB, TB= (R-X2B-X3B-HR)+2*X2B+3*X3B+4*HR,SLG=TB/AB) - -#This give the top 5 SLG teams -Teams_SLG %>% - #arrange(desc(SLG)) %>% - slice_max(order_by= SLG, n=5) - - - -``` - -```{r since_1969} -Teams_SLG %>% - filter(yearID>1968) %>% - slice_max(order_by= SLG, n=5) - - -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 8.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 8.Rmd deleted file mode 100644 index dfe76d7..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 8.Rmd +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: "Problem 8" -author: "Schwab" -date: "4/8/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -``` - -I'm skipping problem 8, I'm tired of baseball. F-you future Nic \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 9.Rmd b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 9.Rmd deleted file mode 100644 index 48b7b84..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/Problem 9.Rmd +++ /dev/null @@ -1,28 +0,0 @@ ---- -title: "Problem 9" -author: "Schwab" -date: "4/8/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(babynames) -library(nycflights13) -``` - -```{r} -view(flights - ) -``` - -```{r} -flights %>% - - filter(is.na(air_time))%>% #filters the flights that are cancelled - count(month) %>% #counts by month - summarize(month, prop=100*n/sum(n)) - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/Chapter 4/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 4 Problems/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 4 Problems/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Chapter 5 Problems.Rproj b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Chapter 5 Problems.Rproj deleted file mode 100644 index 8e3c2eb..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Chapter 5 Problems.Rproj +++ /dev/null @@ -1,13 +0,0 @@ -Version: 1.0 - -RestoreWorkspace: Default -SaveWorkspace: Default -AlwaysSaveHistory: Default - -EnableCodeIndexing: Yes -UseSpacesForTab: Yes -NumSpacesForTab: 2 -Encoding: UTF-8 - -RnwWeave: Sweave -LaTeX: pdfLaTeX diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 1.Rmd b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 1.Rmd deleted file mode 100644 index b57bacc..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 1.Rmd +++ /dev/null @@ -1,40 +0,0 @@ ---- -title: "Problem_1" -author: "Schwab" -date: "4/15/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(ggrepel) - -``` - -```{r} -#This is the setup from the problem - -statenames <- tibble(names = state.name, twoletter = state.abb) - -statedata <- tibble( - names = state.name, - income = state.x77[, 2], - illiteracy = state.x77[, 3] - ) - -``` - -```{r} -#I feel like this didn't need to be a inner join, I could have made a tibble like I did above. - -joined_state_tibbles <-inner_join(x=statenames,y=statedata,by="names") - -joined_state_tibbles %>% - ggplot(aes(x=illiteracy,y=income)) + - geom_point()+ - geom_text_repel(aes(label=twoletter))+ - geom_smooth(se=FALSE) - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 2.Rmd b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 2.Rmd deleted file mode 100644 index aa78e61..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 2.Rmd +++ /dev/null @@ -1,80 +0,0 @@ ---- -title: "Problem_2" -author: "Schwab" -date: "4/20/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(Lahman) - -``` - -```{r} -view(Batting) -view(Pitching) -view(Master) -``` - -```{r joining_tables} -joined_Batting_and_Master<- full_join( - x=Batting, - y=Master, - by="playerID" - ) - -joined_Pitching_and_Master<- full_join( - x=Pitching, - y=Master, - by="playerID" - ) - -``` - -```{r problem_2a} - -#This was a tricky problem because I had to realize that one playerID went with multiple rows. - -solution_2a <- joined_Batting_and_Master %>% - group_by(playerID) %>% - summarise( - nameFirst= nameFirst, - nameLast= nameLast, - HR_Total = sum(HR), - SB_Total = sum(SB)) %>% - filter(HR_Total >300 & SB_Total >300) %>% - distinct() - -view(solution_2a) -``` - -```{r problem_2b} - - - -solution_2b <- joined_Pitching_and_Master %>% - group_by(playerID) %>% - summarise( - nameFirst = nameFirst, - nameLast = nameLast, - W_Total = sum(W), - SO_Total = sum(SO)) %>% - filter(W_Total >300 & SO_Total >3000) %>% - distinct() - -view(solution_2b) -``` - -```{r problem_2c} -solution_2c <- joined_Batting_and_Master %>% - group_by(yearID,playerID) %>% - filter(HR >50) %>% - mutate(Batting_Average = H/AB) - -## Is the batting average the number of hits divided by at bats? - -view(solution_2c) -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 3.Rmd b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 3.Rmd deleted file mode 100644 index 0ef7593..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 3.Rmd +++ /dev/null @@ -1,136 +0,0 @@ ---- -title: "Problem_3" -author: "Schwab" -date: "4/20/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(nycflights13) - -``` - -I'm stuck on this problem. I need to think about it more. - -```{r } -head(flights) -head(planes) - -joined_flights_planes <-left_join(flights,planes,by="tailnum", suffix = c(".flights",".planes")) -joined_flights_planes -``` - -```{r part_a} - - -#I'm trying to filter out the nas from the year variable -#I'm using the apply function to apply is.na() to the table -apply(X = is.na(planes), MARGIN = 2, FUN = sum) - -#Students might use these pipes instead. -planes %>% - count(is.na(year)) - -planes %>% - filter(is.na(year)) - -``` - -```{r part_b} -# I think this is a simpler solution. - -planes %>% - count(manufacturer) %>% - slice_max(order_by = n,n=5) - -#The following table shows the most common manufacturer by counts. The case_when() checks to see if the count is larger or smaller than 121 and renames the manufacturer variable appropriately. - -manufacturers <- planes |> - count(manufacturer) |> - slice_max(order_by = n, n=10) - - - -# manufactured_counts<- planes %>% -# count(manufacturer) %>% -# arrange(desc(n)) %>% -# mutate( -# manufacturer = -# case_when( -# n >= 121 ~ as.character(manufacturer), -# n < 121 ~ "other" -# ) -# )%>% -# group_by(manufacturer) %>% -# summarise(manufacturer=manufacturer,n=sum(n)) %>% -# distinct() - - -manufacturers - - -``` - -```{r part_c} - -top_five_manufactures <-planes %>% - count(manufacturer) %>% - slice_max(order_by = n,n=5) %>% - select(-n) - -top_five_manufactures <- as.vector(top_five_manufactures) - -joined_flights_planes |> - filter(manufacturer %in% unlist(top_five_manufactures)) |> - ggplot(aes(x= month,y=manufacturer))+ - geom_count() - - -#I need to join manufactured_counts with joined_flights_planes - - - - -# #I had to group by month, you can also group by month,day -# joined_fl_pl_manufactured_counts<- inner_join(joined_flights_planes,manufactured_counts,by="manufacturer") %>% -# group_by(month) %>% -# count(manufacturer) -# -# #This shows the number of flights from each type of carrier every month. I think this answers the question. -# -#I had to group by month, you can also group by month,day -manufacturer_counts<- joined_flights_planes %>% - mutate( - manufacturer = - case_when( - manufacturer == "AIRBUS INDUSTRIE" ~ "AIRBUS", - manufacturer == "MCDONNELL DOUGLAS AIRCRAFT CO" ~ "MCDONNELL DOUGLAS", - manufacturer == "MCDONNELL DOUGLAS CORPORATION" ~ "MCDONNELL DOUGLAS", - TRUE ~ manufacturer - ) -) %>% - - select(manufacturer,tailnum,year.planes)%>% - unique() %>% - count(manufacturer) %>% - arrange(desc(n)) %>% - mutate(manufacturer = ifelse(n>100, manufacturer, "other" )) - -manufacturer_counts |> - left_join(joined_flights_planes, by = c("manufacturer")) |> - - #select(manufacturer,year.planes) |> - group_by(manufacturer) |> - summarize(manu_ave= mean(year.planes,na.rm=TRUE)) |> - #select(- year.planes) |> - arrange(desc(manu_ave)) - - -``` - -```{r part_c} - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 4.Rmd b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 4.Rmd deleted file mode 100644 index a84c083..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 4.Rmd +++ /dev/null @@ -1,51 +0,0 @@ ---- -title: "Problem_4" -author: "Schwab" -date: "4/22/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(nycflights13) - -``` - -```{r } -head(flights) -head(planes) - -full_joined_flights_planes <-full_join(flights,planes,by="tailnum",suffix=c("_flights","_planes")) - -inner_joined_flights_planes <-inner_join(flights,planes,by="tailnum",suffix=c("_flights","_planes")) - - -``` -```{r part_a} -#I'm doing a full join to keep the year manufacture date. -head(joined_flights_planes) - -full_joined_flights_planes %>% - slice_min(year_planes,n=1) - -#The answer is: N381AA - -``` - -```{r part_b} -#I'm doing a full join to keept the year manufacture date. -head(joined_flights_planes) - -inner_joined_flights_planes %>% - count(tailnum) %>% - #The next line is only because I had my doubts about the answer. - - summarise(tailnum=tailnum) %>% - distinct() - - -# I think the answer is: 3322 - -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 5.Rmd b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 5.Rmd deleted file mode 100644 index a9f9669..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem 5.Rmd +++ /dev/null @@ -1,51 +0,0 @@ ---- -title: "Problem_5" -author: "Schwab" -date: "4/22/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) -library(tidyverse) -library(mdsr) -library(mosaicData) -library(Lahman) -options(scipen = 1000) - -``` - -```{r joining_tables} -#I made this for problem 2 - -joined_Batting_and_Master<- full_join( - x=Batting, - y=Master, - by="playerID" - ) - -head(joined_Batting_and_Master) -``` - -```{r} -joined_Batting_and_Master %>% - filter(yearID >=2000 & yearID <=2009) %>% - ggplot(aes(x=birthMonth)) + - geom_histogram() + - scale_x_continuous(breaks=c(1,2,3,4,5,6,7,8,9,10,11,12)) - -#This is not the nicest graph, but it shows that kids born in Aug have a much better chance of playing MLB than those born in July - -``` - -```{r} -head(Births78) -``` - -```{r} -Births78 %>% - ggplot(aes(x=month,y=births))+ - geom_col() + - scale_x_continuous(breaks=c(1,2,3,4,5,6,7,8,9,10,11,12)) - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem-3-new.qmd b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem-3-new.qmd deleted file mode 100644 index a43df92..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/Problem-3-new.qmd +++ /dev/null @@ -1,83 +0,0 @@ ---- -title: "Problem-3" -author: "Schwab" -format: html ---- - -```{r setup, include=FALSE,echo=FALSE} -library(tidyverse) -library(nycflights13) - -``` - -```{r problem_a} -planes |> - filter(is.na(year)) |> - summarise(missing.years=n()) -``` - -```{r part_b} -#I've redone the problem below. It has a much simler solution. -flights |> - inner_join(planes, by="tailnum") |> - #group_by(manufacturer) |> - distinct(tailnum,.keep_all = TRUE)|> - count(manufacturer) |> - slice_max(order_by=n,n=10) -``` - -```{r part_b_again} -planes |> - count(manufacturer) |> - slice_max(order_by = n,n=10) -``` - -```{r part_c} -## In the dataframe below I am using a case_when to clump all of the manufacturers with counts less than 100 together in other. - -planes_other <- planes |> - group_by(manufacturer) |> - mutate(count= n()) |> - mutate(manufacturer = - case_when( - count < 100 ~ "other", - TRUE ~ manufacturer - ) - ) - -#I'm putting all the different spellings of the same companies here. No joins are needed for this problem. These two data frames can be put together. - -planes_other |> - mutate(manufacturer = - case_when( - manufacturer == "AIRBUS INDUSTRIE" ~ "AIRBUS", - manufacturer == "MCDONNELL DOUGLAS AIRCRAFT CO" ~ "MCDONNELL DOUGLAS", - manufacturer == "MCDONNELL DOUGLAS CORPORATION" ~ "MCDONNELL DOUGLAS", - TRUE ~ manufacturer - ) - ) |> - group_by(manufacturer) -``` - - -```{r kathrines_answer} -planes |> - mutate(manufacturer= - case_when(manufacturer=="AIRBUS INDUSTRIE"~"AIRBUS", - manufacturer=="MCDONNELL DOUGLAS AIRCRAFT CO" ~"MCDONNELL DOUGLAS", - manufacturer=="MCDONNELL DOUGLAS CORPORATION" ~"MCDONNELL DOUGLAS", - TRUE~manufacturer)) |> - mutate(manufacturer= - case_when((manufacturer!="AIRBUS" & - manufacturer!="BOEING" & - manufacturer!="BOMBARDIER INC" & - manufacturer!="EMBRAER" & - manufacturer!="MCDONNELL DOUGLAS")~"OTHER", - TRUE~manufacturer)) |> - filter(year > "2000") |> - ggplot(aes(x=year,fill=manufacturer)) + - geom_bar(position= "dodge") -#facet_wrap(~manufacturer) - -``` - diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/Chapter 5 Problems/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 5 Problems/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 5 Problems/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Chapter 6 Problesm.Rproj b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Chapter 6 Problesm.Rproj deleted file mode 100644 index 8e3c2eb..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Chapter 6 Problesm.Rproj +++ /dev/null @@ -1,13 +0,0 @@ -Version: 1.0 - -RestoreWorkspace: Default -SaveWorkspace: Default -AlwaysSaveHistory: Default - -EnableCodeIndexing: Yes -UseSpacesForTab: Yes -NumSpacesForTab: 2 -Encoding: UTF-8 - -RnwWeave: Sweave -LaTeX: pdfLaTeX diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem 11.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem 11.Rmd deleted file mode 100644 index 57d5045..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem 11.Rmd +++ /dev/null @@ -1,87 +0,0 @@ ---- -title: "Problem_11" -author: "Schwab" -date: "5/4/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(lubridate) -library(purrr) -library(rvest) #I thought this loaded with the tidyverse, but I guess I need to load it separately. -library(janitor) #I use this to clean up the startrek table with #clean_names. - -``` - - - -```{r} -#I'm saving the url for the seven sisters run as a string - -seven_sisters_race <- "https://aratrace.com/7-sisters-trail-race-4/" - -#Here's I'm gathering the tables from that site, I'm surprised there are 27 -tables <- seven_sisters_race %>% - read_html() %>% - html_nodes("table") -``` -The graph below shows the first three runners for each female age group category. The first three runners of age 30-49 are faster than the third place from 20-29. Also those in their 60s are fast than their 50s. -```{r seasons} -#Here I'm just focusing on the second table. I have to "pluck" the second table from the list of tables. It took a guess or two to find it. - -seven_sisters_race <- tables %>% - purrr::pluck(1) %>% - html_table() %>% - clean_names() %>% - select(-row_place,-details) #I'm getting rid of extra variable - -seven_sisters_race - -seven_sisters_race %>% - filter(gender== "F", age_grp_pl %in% (1:3) ) %>% - ggplot(aes(age,net_elapsed,shape=age_grp))+ - geom_point() + - scale_shape_manual(values=1:7)+ - labs(title = "Older does not mean slower",y="time",x="Age of runner",)+ - theme_classic() - - - - # seven_sisters_race %>% - # ggplot(aes(gender )) + - # geom_bar() -``` - -The pattern is a bit different for men. But the three fastest men in their 30s and 40s will beat the second and third place runner in their 20s. - -```{r seasons} -#Here I'm just focusing on the second table. I have to "pluck" the second table from the list of tables. It took a guess or two to find it. - -seven_sisters_race <- tables %>% - purrr::pluck(1) %>% - html_table() %>% - clean_names() %>% - select(-row_place,-details) #I'm getting rid of extra variable - -seven_sisters_race - -seven_sisters_race %>% - filter(gender== "M"|first_name=="LIAM" &last_name=="CREGAN", age_grp_pl %in% (0:3) ) %>% - ggplot(aes(age,net_elapsed,shape=age_grp))+ - geom_jitter() + - scale_shape_manual(values=1:7)+ - labs(title = "Older does not mean slower",y="time",x="Age of runner",)+ - theme_classic() - - - - # seven_sisters_race %>% - # ggplot(aes(gender )) + - # geom_bar() -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_1.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_1.Rmd deleted file mode 100644 index 3163473..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_1.Rmd +++ /dev/null @@ -1,40 +0,0 @@ ---- -title: "Problem_1" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - -library(mdsr) -library(tidyverse) -library(mosaic) -library(lubridate) - -``` - -Problem 1 (Easy): In the Marriage data set included in mosaic, the appdate, ceremonydate, and dob variables are encoded as factors, even though they are dates. Use lubridate to convert those three columns into a date format. - -```{r} -#This is from the texbook - -Marriage %>% - select(appdate, ceremonydate, dob) %>% - glimpse(width = 50) - -``` - -#I am alittle confused by this problem. It seems like the appdate , ceremonydate, etc. are already dates. Also the years for the dob must be wrong. - -```{r} - -Marriage %>% - mutate( - appdate_date = ymd(appdate), - ceremonydate_date = ymd(ceremonydate), - dob_date = ymd(dob) - ) - -``` diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_2.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_2.Rmd deleted file mode 100644 index ef4fc62..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_2.Rmd +++ /dev/null @@ -1,34 +0,0 @@ ---- -title: "Problem_2" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(lubridate) - -``` - -Rewrite this in nested form on a single line. Which set of commands do you prefer and why? - -```{r} -#This is from the text: - -mtcars %>% - filter(cyl == 4) %>% - select(mpg, cyl) - -``` - -```{r} -#I think the pipes are easier to read and think about. -select( filter( mtcars,cyl==4 ),mpg,cyl) - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_3.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_3.Rmd deleted file mode 100644 index ef4fc62..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_3.Rmd +++ /dev/null @@ -1,34 +0,0 @@ ---- -title: "Problem_2" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(lubridate) - -``` - -Rewrite this in nested form on a single line. Which set of commands do you prefer and why? - -```{r} -#This is from the text: - -mtcars %>% - filter(cyl == 4) %>% - select(mpg, cyl) - -``` - -```{r} -#I think the pipes are easier to read and think about. -select( filter( mtcars,cyl==4 ),mpg,cyl) - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_4.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_4.Rmd deleted file mode 100644 index e208e29..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_4.Rmd +++ /dev/null @@ -1,77 +0,0 @@ ---- -title: "Problem_4" -author: "Schwab" -date: "5/4/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(lubridate) -library(purrr) -library(rvest) #I thought this loaded with the tidyverse, but I guess I need to load it separately. -library(janitor) #I use this to clean up the startrek table with #clean_names. - -``` - - - -```{r} -#I'm saving the url for star trek as a string - -star_trek_url <- "https://en.wikipedia.org/wiki/Star_Trek:_The_Next_Generation" - -#Here's I'm gathering the tables from that site, I'm surprised there are 27 -tables <- star_trek_url %>% - read_html() %>% - html_nodes("table") -``` - -```{r seasons} -#Here I'm just focusing on the second table. I have to "pluck" the second table from the list of tables. It took a guess or two to find it. - -Star_Trek_Air_Dates <- tables %>% - purrr::pluck(2) %>% - html_table() %>% - clean_names() %>% #Using clean names because an extra "season" column showed up - select(-season,-episodes_2) %>% #I'm getting rid of extra variables, they had the same name - rename( #Just renaming columns - Season = season_2, - First_aired = originally_aired , - Last_aired = originally_aired_2 - ) - -Star_Trek_Air_Dates <- Star_Trek_Air_Dates[-1,] #Getting rid of the first row - -#I'm stuck on converting the dates. Maybe use seperate()? -#Note: Separate() is hard to do over "sep= (" so I had it figure it out automatically then used month_day_year - -Star_Trek_Air_Dates <- Star_Trek_Air_Dates %>% - separate(col = First_aired, into = c("a","b","c") ) %>% - separate(col = Last_aired, into = c("e","f","g") ) %>% - unite(col= "First_aired", a:c) %>% - unite(col = "Last_aired", e:g) - - - - -Star_Trek_Air_Dates <- Star_Trek_Air_Dates %>% - mutate( - First_aired = as.Date(First_aired, "%B_%d_%Y"), - Last_aired = as.Date(Last_aired, "%B_%d_%Y") - ) -Star_Trek_Air_Dates - -#This is some lame graph, but I sure did learn lot about scraping and seperating. -Star_Trek_Air_Dates %>% - ggplot(mapping=aes(First_aired,episodes))+ - geom_point() + - theme_bw() + - labs(title = "Star Trek New Gen", x="Air Date") - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_5.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_5.Rmd deleted file mode 100644 index 07b3184..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_5.Rmd +++ /dev/null @@ -1,53 +0,0 @@ ---- -title: "Problem_5" -author: "Schwab" -date: "5/4/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(lubridate) -library(purrr) -library(rvest) #I thought this loaded with the tidyverse, but I guess I need to load it separately. -library(janitor) #I use this to clean up the startrek table with #clean_names. - -``` -Generate the code to convert the following data frame to wide format. -```{r} -#make the df from the problem - -prob_5 <- data.frame( grp= c( "A","A","B","B"), - sex = c("F","M","F","M"), - meanL = c(0.225,0.47,0.325,0.547), - sdL = c(0.106,0.325,0.106, 0.308), - meanR = c(0.34,0.57,0.4,0.647), - sdR = c(0.0849,0.325,0.0707,0.274) -) - -prob_5 - -``` - -```{r} - - -prob_5 %>% - #The line below takes all the numeric columns and puts them into a column called group. - pivot_longer(cols=c("meanL","sdL","meanR","sdR"), names_to = "group",values_to = "stats" ) %>% - - #This line takes group apart by sex and reorders the stats - pivot_wider(names_from = c("sex","group"), values_from = "stats",names_sep = ".") - -prob_5 %>% - #This one does the same thing, but it doesn't look like the book solution - pivot_wider(names_from= sex, values_from= c("meanL","sdL","meanR","sdR"),names_sep = ".") - - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_6.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_6.Rmd deleted file mode 100644 index 5342fc1..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_6.Rmd +++ /dev/null @@ -1,63 +0,0 @@ ---- -title: "Problem_6" -author: "Schwab" -date: "5/5/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(mosaicData) - - -``` - -```{r} - -head(HELPfull) - -``` - -```{r Part_a} -# Generate a table of the data for subjects (ID) 1, 2, and 3 that includes the ID variable, the TIME variable, and the DRUGRISK and SEXRISK variables (measures of drug and sex risk-taking behaviors, respectively). - -HELPfull %>% - filter(ID < 4 ) %>% - select(ID,TIME,DRUGRISK,SEXRISK) - -``` - -part_b: It seems like at times 0, 6, and 24 subject 3 was deemed at risk. - - -```{r part_c} -HELPfull %>% - filter(ID < 4 & TIME<7) %>% - select(ID,TIME,DRUGRISK,SEXRISK) %>% - pivot_wider(names_from = "TIME",values_from = c("DRUGRISK","SEXRISK")) - -``` - -```{r part_d} -prob_6_d <- HELPfull %>% - filter(TIME<7) %>% - select(ID,TIME,DRUGRISK,SEXRISK) %>% - pivot_wider(names_from = "TIME",values_from = c("DRUGRISK","SEXRISK")) - -prob_6_d %>% - ggplot(aes(x=DRUGRISK_0,y=DRUGRISK_6)) + - geom_point() - -#This is to find the correlation coefficent for Drug Risk between 0 and 6 month. 0.59911 They don't seem super correlated. -cor(prob_6_d$DRUGRISK_0,prob_6_d$DRUGRISK_6,use="complete.obs") - -#This is to find the correlation coefficent for SEX Risk between 0 and 6 month. 0.50766 They don't seem super correlated. -cor(prob_6_d$SEXRISK_0,prob_6_d$SEXRISK_6,use="complete.obs") - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_7.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_7.Rmd deleted file mode 100644 index b75ab64..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_7.Rmd +++ /dev/null @@ -1,49 +0,0 @@ ---- -title: "Problem_6" -author: "Schwab" -date: "5/5/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(mosaicData) - - -``` - -```{r} -#Make the table - -ds1 <- data.frame( - id=c(1,2,3,1,2,3), - group=c("T","T","T","C","C","C"), - vals= c(4,6,8,5,6,10)) -ds1 - -``` - -```{r} -#This is copied from the text -Treat <- filter(ds1, group == "T") -Control <- filter(ds1, group == "C") -all <- mutate(Treat, diff = Treat$vals - Control$vals) -all -``` - -Problems that might arrise: -1. If data is missing for an id you'll get NA and not be able to calculate the difference. -2. If the ids are out of order( currently they are 1,2,3,1,2,3) They will not calculate the correct difference. - -```{r my_pivot_wider_solution} -#This makes the column names from the group variable, mutate adds the difference column. -ds1 %>% pivot_wider( - names_from = "group", - values_from = "vals") %>% - mutate(diff=T - C) -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_8.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_8.Rmd deleted file mode 100644 index 909dbb8..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_8.Rmd +++ /dev/null @@ -1,55 +0,0 @@ ---- -title: "Problem_8" -author: "Schwab" -date: "5/6/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(mosaicData) -library(Lahman) - -``` - -```{r} -#This is the Teams Dataset -Teams - -``` - -```{r} -# Write a function called count_seasons -count_seasons <- function(TeamID) { - - value <- Teams %>% - filter(teamID == TeamID) %>% - summarise(Number_of_Seasons_Played=length(yearID)) - TeamID - value -} -#The following function only works if I input the TeamID as a string. Can you help me figure out how to be able to input it as BS1 not "BS1" - -count_seasons("BS1") - -``` - -```{r} -#These are two ways to count the number of seasons played. - -Teams %>% - filter(teamID == "BS1") %>% - count(yearID) %>% - summarise(Number_of_Seasons_Played = sum(n)) - -Teams %>% - filter(teamID == "BS1") %>% - #count(yearID) %>% - summarise(Number_of_Seasons_Played=length(yearID)) - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_9.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_9.Rmd deleted file mode 100644 index a74e1a1..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Problem_9.Rmd +++ /dev/null @@ -1,48 +0,0 @@ ---- -title: "Problem_8" -author: "Schwab" -date: "5/6/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(babynames) - -``` - -This is a difficult problem, I have not finished this problem. - -```{r} -?make_babynames_dist() -glimpse(babynames) -``` - -```{r} -make_babynames_dist() %>% - filter(name == "Nicholas") - -?lifetables - -lifetables -``` - -```{r} - -my_make_baby_names_function <-function(){ - babynames %>% - #group_by(name,year) %>% - mutate(x = 2014-year) %>% #I'm making an age variable so I can do a join with "lifetables" - left_join(lifetables,by = c("year","sex")) - - -} -my_make_baby_names_function() %>% - filter(name=="Nicholas") - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Untitled.Rmd b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Untitled.Rmd deleted file mode 100644 index 5342fc1..0000000 --- a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/Untitled.Rmd +++ /dev/null @@ -1,63 +0,0 @@ ---- -title: "Problem_6" -author: "Schwab" -date: "5/5/2022" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - - -library(mdsr) -library(tidyverse) -library(mosaic) -library(mosaicData) - - -``` - -```{r} - -head(HELPfull) - -``` - -```{r Part_a} -# Generate a table of the data for subjects (ID) 1, 2, and 3 that includes the ID variable, the TIME variable, and the DRUGRISK and SEXRISK variables (measures of drug and sex risk-taking behaviors, respectively). - -HELPfull %>% - filter(ID < 4 ) %>% - select(ID,TIME,DRUGRISK,SEXRISK) - -``` - -part_b: It seems like at times 0, 6, and 24 subject 3 was deemed at risk. - - -```{r part_c} -HELPfull %>% - filter(ID < 4 & TIME<7) %>% - select(ID,TIME,DRUGRISK,SEXRISK) %>% - pivot_wider(names_from = "TIME",values_from = c("DRUGRISK","SEXRISK")) - -``` - -```{r part_d} -prob_6_d <- HELPfull %>% - filter(TIME<7) %>% - select(ID,TIME,DRUGRISK,SEXRISK) %>% - pivot_wider(names_from = "TIME",values_from = c("DRUGRISK","SEXRISK")) - -prob_6_d %>% - ggplot(aes(x=DRUGRISK_0,y=DRUGRISK_6)) + - geom_point() - -#This is to find the correlation coefficent for Drug Risk between 0 and 6 month. 0.59911 They don't seem super correlated. -cor(prob_6_d$DRUGRISK_0,prob_6_d$DRUGRISK_6,use="complete.obs") - -#This is to find the correlation coefficent for SEX Risk between 0 and 6 month. 0.50766 They don't seem super correlated. -cor(prob_6_d$SEXRISK_0,prob_6_d$SEXRISK_6,use="complete.obs") - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/desktop.ini b/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/Chapter 6 Problesm/desktop.ini and /dev/null differ diff --git a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 1.Rmd b/MY-MDSR-SOLUTIONS/chapter 15/Exercise 1.Rmd deleted file mode 100644 index 3138fdc..0000000 --- a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 1.Rmd +++ /dev/null @@ -1,35 +0,0 @@ ---- -title: "Chapter 15 text" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - -library(mdsr) -library(tidyverse) -library(mosaic) -library(RMySQL) - -con <- dbConnect( - MySQL(), host = "scidb.smith.edu", - user = "waiuser", password = "smith_waiDB", - dbname = "wai" -) -Measurements <- tbl(con, "Measurements") -``` - -Problem 1 (Easy): How many rows are available in the Measurements table of the Smith College Wideband Auditory Immittance database? - -There are 4,203,645 rows available. - -```{sql connection=con} -DESCRIBE Measurements; -``` - -```{sql connection=con} -SELECT COUNT(*) AS N -FROM Measurements; -``` diff --git a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 2.Rmd b/MY-MDSR-SOLUTIONS/chapter 15/Exercise 2.Rmd deleted file mode 100644 index 1befc9b..0000000 --- a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 2.Rmd +++ /dev/null @@ -1,35 +0,0 @@ ---- -title: "Excersie 2" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - -library(mdsr) -library(tidyverse) -library(RMySQL) - -con <- dbConnect_scidb("airlines") -flights <- tbl(con, "flights") -carriers <- tbl(con, "carriers") -``` - -```{r } -#Here flights is a table that was made in the setup. I'm using the normal dplyr verbs to show the years. -years_flights<- flights %>% - select(year) %>% - distinct() -show_query(years_flights) -``` - -```{sql connection=con} -/*Below Here is the same result in SQL as opposed to R. I kind of can't believe I did it. -Also I had to look up how to comment in SQL*/ - -SELECT DISTINCT year -FROM flights LIMIT 10; -``` - diff --git a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 3.Rmd b/MY-MDSR-SOLUTIONS/chapter 15/Exercise 3.Rmd deleted file mode 100644 index d50140d..0000000 --- a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 3.Rmd +++ /dev/null @@ -1,62 +0,0 @@ ---- -title: "Excersie 3" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - -library(mdsr) -library(tidyverse) -library(RMySQL) - -con <- dbConnect_scidb("airlines") -flights <- tbl(con, "flights") -carriers <- tbl(con, "carriers") -airports <- tbl(con, "airports") - -``` - -```{sql connection=con} -/*Below is how we can see the tables*/ -SHOW TABLES; -``` - -```{sql connection=con} -/*Below is how we can describe airports to find the countries*/ -DESCRIBE flights; -``` - -```{r } -#Here flights is a table that was made in the setup. I'm using the normal dplyr verbs to show the years. How many are going to US -airports %>% - select(country) %>% - distinct() -#Haha, they are all domestic flights. Unless I'm misunderstanding the variable -``` - -```{r} -#I cannot get the n() function to work here. I'll try in SQL code -flights %>% - filter(dest == "DFW" & year=="2010" & month =="05" & day == "14") |> - group_by(year) |> - summarise(total=n()) - - - -``` - -```{sql connection=con} -/*Below Here is the same result in SQL as opposed to R. It looks like there were 754 flights into DFW */ - -SELECT - count(dest) -FROM - flights -WHERE dest= 'DFW' AND year = 2010 AND month = 5 AND day = 14; - - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 5.Rmd b/MY-MDSR-SOLUTIONS/chapter 15/Exercise 5.Rmd deleted file mode 100644 index c30851f..0000000 --- a/MY-MDSR-SOLUTIONS/chapter 15/Exercise 5.Rmd +++ /dev/null @@ -1,56 +0,0 @@ ---- -title: "Excersie 5" -author: "Schwab" -date: "`r Sys.Date()`" -output: pdf_document ---- - -```{r setup, include=FALSE} -knitr::opts_chunk$set(echo = TRUE) - -library(mdsr) -library(tidyverse) -library(RMySQL) - -con <- dbConnect_scidb("airlines") -flights <- tbl(con, "flights") -carriers <- tbl(con, "carriers") -airports <- tbl(con, "airports") - -``` - -Problem 5 (Medium): Use the dbConnect_scidb function to connect to the airlines database to answer the following problem. Of all the destinations from Chicago O’Hare (ORD), which were the most common in 2010? - -```{sql connection=con} -/*Below is how we can see the tables*/ -SHOW TABLES; -``` - -```{sql connection=con} -/*Below is how we can describe airports to find the countries*/ -DESCRIBE flights; -``` - -```{r} -#I cannot get the n() function to work here. I'll try in SQL code -most_common<- flights %>% - filter(origin == "ORD" & year== 2010 ) |> - group_by(dest) |> - summarise(total_flights=n()) |> - arrange(desc(total_flights)) - -show_query(most_common) -``` - -```{sql connection=con} -/*Below Here is the same result in SQL as opposed to R. It looks like there were 754 flights into DFW */ - -SELECT `dest`, COUNT(*) AS `total_flights` -FROM `flights` -WHERE (`origin` = 'ORD' AND `year` = 2010.0) -GROUP BY `dest` -ORDER BY `total_flights` DESC; - - - -``` \ No newline at end of file diff --git a/MY-MDSR-SOLUTIONS/chapter 15/desktop.ini b/MY-MDSR-SOLUTIONS/chapter 15/desktop.ini deleted file mode 100644 index 7800a39..0000000 Binary files a/MY-MDSR-SOLUTIONS/chapter 15/desktop.ini and /dev/null differ diff --git a/Making New Assignment b/Making New Assignment deleted file mode 100644 index e69de29..0000000 diff --git a/Summary_of_what_we_did.qmd b/Summary_of_what_we_did.qmd deleted file mode 100644 index e2686e9..0000000 --- a/Summary_of_what_we_did.qmd +++ /dev/null @@ -1,282 +0,0 @@ ---- -title: "What did we do in Intro to Data Science" -subtitle: "Some student examples" -author: "Fall 2022 students" -format: revealjs ---- - -```{r setup, include=FALSE} - -#Below I've set it so all your code will output when you knit, because I want to be able to see it. -knitr::opts_chunk$set(echo = TRUE) - -#Here are our libraries -library(tidyverse) -library(readxl) -library(RColorBrewer) -library(RMySQL) -library(leaflet) -library(sf) -library(tidygeocoder) -library(mapproj) -library(janitor) -library(rvest) - -db <- dbConnect( - MySQL(), - host = "scidb.smith.edu", - user = "sds192", - password = "DSismfc@S", - dbname = "yelp" -) -knitr::opts_chunk$set(connection = db, max.print = 20) - -#This is how you import a spreadsheet. the excel file needs to be in the same folder as this .Rmd file -HCC_DATA_19_21 <- read_excel("~/Documents/MTH_190_Intro_to_DS/course-materials/project-instructions/project-1/HCC-DATA-19-21.xlsx") - -#Below I am making my excel spreadsheet into a dataframe and saving it to R's environment -HCC_DATA_19_21 <- as.data.frame(HCC_DATA_19_21) - -# This is just to make rounding bearable. -options(scipen=1) - -#Making DEGSEEK either yes or no. -HCC_DATA_19_21$DEGSEEK <- recode_factor(HCC_DATA_19_21$DEGSEEK,"0"="No","1"="Yes") - -#Below I am making TERM easier to read -HCC_DATA_19_21$TERM <- recode_factor(HCC_DATA_19_21$TERM,"201930"="2019","202030"="2020","202130"="2021") - -#Below I rename RACE so they are easier to read and order. -HCC_DATA_19_21$RACE <- recode_factor(HCC_DATA_19_21$RACE, - "a_WHITE" = "White", - "b_HISPANIC" = "Hispanic", - "c_BLACK/NON-HISPANIC" = "Black/Non-Hispanic", - "d_ASIAN" = "Asian", - "e_AMERICAN IND/ALASKAN"="American Indian/Alaska Native", - "f_NATIVE HAWAIIAN" = "Native Hawaiian", - "g_CAPE VERDEAN" = "Cape Verdean", - "h_TWO OR MORE RACES" = "Two or More Races", - "i_UNKNOWN" = "Unknown", - "j_NON-RESIDENT" = "Non-Resident" - ) - -#I am tempted to recode GENDER_DESC, but I've left it for you if you want to try it -HCC_DATA_19_21$GENDER_DESC <- recode_factor(HCC_DATA_19_21$GENDER_DESC, - "1_MALE" = "Male", - "2_FEMALE" = "Female", - "3_UNKNWN" = "Unknown" - ) - -``` - -# What we learned - -Students started with little or no coding experience and learned: - -::: columns -::: {.column width="50%"} -![](https://www.rstudio.com/wp-content/uploads/2018/10/RStudio-Logo.png){width="266"} -::: - -::: {.column width="50%"} -![](https://image.jimcdn.com/app/cms/image/transf/dimension=390x10000:format=jpg/path/sc907c1c4cc8c1f1e/image/i3129eb909b67b786/version/1617197006/image.jpg){width="287"} -::: -::: - -::: columns -::: {.column width="50%"} -![](https://1000logos.net/wp-content/uploads/2021/05/GitHub-logo-500x281.png){width="288"} -::: - -::: {.column width="50%"} -![](https://upload.wikimedia.org/wikipedia/commons/thumb/8/87/Sql_data_base_with_logo.png/800px-Sql_data_base_with_logo.png?20210130181641){width="340"} -::: -::: - -# We took HCC data - -```{r look, echo=FALSE, } -head(HCC_DATA_19_21,3 ) -``` - -```{r question_1, include=FALSE} -HCC_DATA_19_21 |> - group_by(GENDER_DESC) |> - count(DEGSEEK) -``` - -```{r question_2, include=FALSE} -townData19 <- HCC_DATA_19_21 |> - filter(TERM == "2019") |> - count(MA_TOWN_GRP) |> - mutate(Percent_From_Town = (n / sum(n) * 100)) |> - arrange(desc(n)) |> - slice_head(n = 5) -townData19 |> - head(5) -``` - -```{r question_3, include=FALSE} -townData19_21 <- HCC_DATA_19_21 |> - filter((MA_TOWN_GRP == "Springfield" | - MA_TOWN_GRP == "Holyoke" | - MA_TOWN_GRP == "Chicopee" | - MA_TOWN_GRP == "Westfield" | - MA_TOWN_GRP == "West Springfield")) -``` - -```{r include=FALSE} -townData19_21 |> - ggplot(aes(x = MA_TOWN_GRP, fill = RACE))+ - facet_wrap(~TERM) + - geom_bar() + - theme_classic() + - scale_fill_brewer(palette = "Accent") + - theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) -``` - -# to answer the question - -What happened to student enrollment during the pandemic? - -```{r question_4, echo=FALSE,} - -topTowns <- HCC_DATA_19_21 |> - filter((MA_TOWN_GRP == "Springfield" | - MA_TOWN_GRP == "Holyoke" | - MA_TOWN_GRP == "Chicopee" | - MA_TOWN_GRP == "Westfield" | - MA_TOWN_GRP == "West Springfield")) - -topTowns |> - ggplot(aes(x = MA_TOWN_GRP, fill = DEGSEEK))+ - facet_wrap(~TERM) + - geom_bar() + - theme_classic() + - theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) - -``` - -```{r message = FALSE, include=FALSE} -library(tidyverse) -library(fec20) -``` - -# We learned to scrape data from the internet - -![](./warframe.png) - -```{r scrape-the-tables, echo=TRUE, include=FALSE} -#I'm saving the url for warframe.wiki as a string -wf_wiki_url <- "https://warframe.fandom.com/wiki/Warframes" -#Here's I'm gathering the tables from that site, there are 8. -wf_tables <- wf_wiki_url |> - read_html() |> #read_html takes a URL and returns and XML object - html_elements("table") -wf_tables -``` - - - -```{r pluck-the-table, auto-stretch , include=FALSE} -wf_wiki_frames <- wf_tables %>% - pluck(3) %>% #Its the third table, but this takes some guessing - html_table() -wf_wiki_frames -``` - - -```{r clean names, include=FALSE} -wf_wiki_frames <- wf_wiki_frames|> - clean_names() -wf_wiki_frames -``` - - -```{r fix-update , include=FALSE} -#This will separate the update_version and put them back together without the extra dates or "update", it also adds a period for the seperation between the numbers in the update version. -wf_wiki_frames <- wf_wiki_frames |> - separate(col = update_version, into = c("update1", "update2", "update3", "date1", "date2", "date3") ) |> - unite(col = "update_version", c("update2", "update3"), sep=".")|> - select(!c("update1", "date1", "date2", "date3")) -wf_wiki_frames -``` - - -```{r Dates, include=FALSE} -release_date_yyyy_mm_dd <- as.factor(wf_wiki_frames $ release_date_yyyy_mm_dd) -stripped_dates <- strptime(release_date_yyyy_mm_dd, format = "%Y-%m-%d") -#defining what is the original format of the date -release_date <- as.Date(stripped_dates, format = "%Y-%m-%d") -#defining what is the desired format of the date - wf_wiki_frames <- wf_wiki_frames %>% - mutate( - release_date_yyyy_mm_dd = release_date - ) - - wf_wiki_frames -``` - -# And clean it up for analysis -```{r} -wf_wiki_frames <- wf_wiki_frames|> - rename( - "Warframe Name" = warframe_name, "Release Date" = release_date_yyyy_mm_dd, "Update Version" = update_version - ) -wf_wiki_frames -``` - -# Learned enough SQL - -to connect to a server at Smith and analyze yelp data: - -```{sql connection=db} -SELECT city, COUNT(*) AS n -FROM businesses -WHERE stars > 4.99 -GROUP BY city -ORDER BY n DESC -Limit 3; -``` - -# We made some maps - -with geospacial data. - -```{r echo = FALSE} -counties <- read_sf("~/Documents/MTH_190_Intro_to_DS/course-materials/cb_2021_us_county_5m") |> - st_transform('+proj=longlat +datum=WGS84') - -addresses<- tibble(address=c("Holyoke Community College, Holyoke,MA")) |> -geocode(address, method="osm") |> - mutate(name = c("HCC")) - -ma_cities <- us.cities %>% - filter(country.etc =="MA") |> - select(name, long, lat) - -Just_MA_counties <- counties |> filter(STUSPS == "MA") - -college <- makeAwesomeIcon(icon = "graduation-cap", - library = "fa") - -leaflet() |> - addTiles() |> - addPolygons(data = Just_MA_counties) |> - addProviderTiles(providers$Stamen.Watercolor) |> - addAwesomeMarkers(data = addresses, lng=~long, lat=~lat, popup = ~name, icon=college ) |> - addCircleMarkers(data = ma_cities, lng=~long, lat=~lat, popup = ~name, color='black',clusterOptions = markerClusterOptions() ) - - - -``` - -# Thanks to the first class - -Ajani Davila - -James Leclaric - -Kathrine Shevchuk - -Magdalena Mackowiak diff --git a/_freeze/.DS_Store b/_freeze/.DS_Store deleted file mode 100644 index 6ff990b..0000000 Binary files a/_freeze/.DS_Store and /dev/null differ diff --git a/_freeze/course-materials/.DS_Store b/_freeze/course-materials/.DS_Store deleted file mode 100644 index 86557ca..0000000 Binary files a/_freeze/course-materials/.DS_Store and /dev/null differ diff --git a/_freeze/course-materials/application-exercises/ae-01b-covid/covid/figure-gfm/list-countries-1.png b/_freeze/course-materials/application-exercises/ae-01b-covid/covid/figure-gfm/list-countries-1.png deleted file mode 100644 index b70fc39..0000000 Binary files a/_freeze/course-materials/application-exercises/ae-01b-covid/covid/figure-gfm/list-countries-1.png and /dev/null differ diff --git a/_freeze/course-materials/application-exercises/ae-01b-covid/covid/figure-gfm/visualise-1.png b/_freeze/course-materials/application-exercises/ae-01b-covid/covid/figure-gfm/visualise-1.png deleted file mode 100644 index e3b6e7a..0000000 Binary files a/_freeze/course-materials/application-exercises/ae-01b-covid/covid/figure-gfm/visualise-1.png and /dev/null differ diff --git a/_freeze/course-materials/lab-instructions/.DS_Store b/_freeze/course-materials/lab-instructions/.DS_Store deleted file mode 100644 index 621f474..0000000 Binary files a/_freeze/course-materials/lab-instructions/.DS_Store and /dev/null differ diff --git a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r-backup/execute-results/html.json b/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r-backup/execute-results/html.json deleted file mode 100644 index c13b010..0000000 --- a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r-backup/execute-results/html.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "hash": "0c435888c13db57f3bee4c97110f5503", - "result": { - "markdown": "---\ntitle: \"Lab 01 - Hello R!\"\noutput: \n tufte::tufte_html:\n css: ../lab.css\n tufte_variant: \"envisioned\"\n highlight: pygments\nlink-citations: yes\n\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nR is the name of the programming language itself and RStudio is a convenient interface.\n```\n:::\n\n\nThe main goal of this lab is to introduce you to R and RStudio, which we will be using throughout the course both to learn the statistical concepts discussed in the course and to analyze real data and come to informed conclusions.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\ngit is a version control system (like \"Track Changes\" features from Microsoft Word on steroids) and GitHub is the home for your Git-based projects on the internet (like DropBox but much, much better).\n```\n:::\n\n\nAn additional goal is to introduce you to Git and GitHub, which is the collaboration and version control system that we will be using throughout the course.\n\nAs the labs progress, you are encouraged to explore beyond what the labs dictate; a willingness to experiment will make you a much better programmer. Before we get to that stage, however, you need to build some basic fluency in R. Today we begin with the fundamental building blocks of R and RStudio: the interface, reading in data, and basic commands.\n\nAnd to make versioning simpler, this is a solo lab. Additionally, we want to make sure everyone gets a significant amount of time at the steering wheel. In future labs you'll learn about collaborating on GitHub and produce a single lab report for your team.\n\n\n\n## Warm up\n\nBefore we introduce the data, let's warm up with some simple exercises.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nThe top portion of your R Markdown file (between the three dashed lines) is called YAML. It stands for \"YAML Ain't Markup Language\". It is a human friendly data serialization standard for all programming languages. All you need to know is that this area is called the YAML (we will refer to it as such) and that it contains meta information about your document.\n```\n:::\n\n\n### YAML\n\nOpen the R Markdown (Rmd) file in your project, change the author name to your name, and knit the document.\n\n\n::: {.cell fig.fullwidth='true'}\n::: {.cell-output-display}\n![](img/yaml-raw-to-rendered.png){width=930}\n:::\n:::\n\n\n## Packages\n\nIn this lab we will work with two packages: **datasauRus** which contains the dataset we'll be using and **tidyverse** which is a collection of packages for doing data analysis in a \"tidy\" way. These packages are already installed for you. You can load the packages by running the following in the Console.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse) \nlibrary(datasauRus)\n```\n:::\n\n\nNote that the packages are also loaded with the same commands in your R Markdown document.\n\n## Data\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nIf it's confusing that the data frame is called `datasaurus_dozen` when it contains 13 datasets, you're not alone! Have you heard of a [baker's dozen](https://en.wikipedia.org/wiki/Dozen#Baker's_dozen)?\n```\n:::\n\n\nThe data frame we will be working with today is called `datasaurus_dozen` and it's in the `datasauRus` package. Actually, this single data frame contains 13 datasets, designed to show us why data visualisation is important and how summary statistics alone can be misleading. The different datasets are marked by the `dataset` variable.\n\nTo find out more about the dataset, type the following in your Console: `?datasaurus_dozen`. A question mark before the name of an object will always bring up its help file. This command must be ran in the Console.\n\n# Exercises\n\n1. Based on the help file, how many rows and how many columns does the `datasaurus_dozen` file have? What are the variables included in the data frame? Add your responses to your lab report.\n\nLet's take a look at what these datasets are. To do so we can make a *frequency table* of the dataset variable:\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n count(dataset) %>%\n print(13)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble:\n# 13 × 2\n dataset \n \n 1 away \n 2 bullseye \n 3 circle \n 4 dino \n 5 dots \n 6 h_lines \n 7 high_lines\n 8 slant_down\n 9 slant_up \n10 star \n11 v_lines \n12 wide_lines\n13 x_shape \n# … with 1\n# more\n# variable:\n# n \n```\n:::\n:::\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nMatejka, Justin, and George Fitzmaurice. \"Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing.\" Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017.\n```\n:::\n\n\nThe original Datasaurus (`dino`) was created by Alberto Cairo in [this great blog post](http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html). The other Dozen were generated using simulated annealing and the process is described in the paper *Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics* through Simulated Annealing by Justin Matejka and George Fitzmaurice. In the paper, the authors simulate a variety of datasets that have the same summary statistics as the Datasaurus but have very different distributions.\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 1\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n2. Plot `y` vs. `x` for the `dino` dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset.\n\nBelow is the code you will need to complete this exercise. Basically, the answer is already given, but you need to include relevant bits in your Rmd document and successfully knit it and view the results.\n\nStart with the `datasaurus_dozen` and pipe it into the `filter` function to filter for observations where `dataset == \"dino\"`. Store the resulting filtered data frame as a new data frame called `dino_data`.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data <- datasaurus_dozen %>%\n filter(dataset == \"dino\")\n```\n:::\n\n\nThere is a lot going on here, so let's slow down and unpack it a bit.\n\nFirst, the pipe operator: `%>%`, takes what comes before it and sends it as the first argument to what comes after it. So here, we're saying `filter` the `datasaurus_dozen` data frame for observations where `dataset == \"dino\"`.\n\nSecond, the assignment operator: `<-`, assigns the name `dino_data` to the filtered data frame.\n\nNext, we need to visualize these data. We will use the `ggplot` function for this. Its first argument is the data you're visualizing. Next we define the `aes`thetic mappings. In other words, the columns of the data that get mapped to certain aesthetic features of the plot, e.g. the `x` axis will represent the variable called `x` and the `y` axis will represent the variable called `y`. Then, we add another layer to this plot where we define which `geom`etric shapes we want to use to represent each observation in the data. In this case we want these to be points, hence `geom_point`.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(data = dino_data, mapping = aes(x = x, y = y)) +\n geom_point()\n```\n\n::: {.cell-output-display}\n![](lab-01-hello-r-backup_files/figure-html/unnamed-chunk-9-1.png){width=672}\n:::\n:::\n\n\nIf this seems like a lot, it is. And you will learn about the philosophy of building data visualizations in layer in detail next week. For now, follow along with the code that is provided.\n\nFor the second part of these exercises, we need to calculate a summary statistic: the correlation coefficient. Correlation coefficient, often referred to as $r$ in statistics, measures the linear association between two variables. You will see that some of the pairs of variables we plot do not have a linear relationship between them. This is exactly why we want to visualize first: visualize to assess the form of the relationship, and calculate $r$ only if relevant. In this case, calculating a correlation coefficient really doesn't make sense since the relationship between `x` and `y` is definitely not linear -- it's dinosaurial!\n\nBut, for illustrative purposes, let's calculate the correlation coefficient between `x` and `y`.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nStart with `dino_data` and calculate a summary statistic that we will call `r` as the `cor`relation between `x` and `y`.\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data %>%\n summarize(r = cor(x, y))\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble: 1 × 1\n r\n \n1 -0.0645\n```\n:::\n:::\n\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 2\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n3. Plot `y` vs. `x` for the `star` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *This is another good place to pause, knit, commit changes with the commit message \"Added answer for Ex 3\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n4. Plot `y` vs. `x` for the `circle` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *You should pause again, commit changes with the commit message \"Added answer for Ex 4\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nFacet by the dataset variable, placing the plots in a 3 column grid, and don't add a legend.\n```\n:::\n\n\n5. Finally, let's plot all datasets at once. In order to do this we will make use of faceting.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(datasaurus_dozen, aes(x = x, y = y, color = dataset))+\n geom_point()+\n facet_wrap(~ dataset, ncol = 3) +\n theme(legend.position = \"none\")\n```\n:::\n\n\nAnd we can use the `group_by` function to generate all the summary correlation coefficients.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n group_by(dataset) %>%\n summarize(r = cor(x, y)) %>%\n print(13)\n```\n:::\n\n\nYou're done with the data analysis exercises, but we'd like you to do two more things:\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-global.png){#fig-resize-global width=468}\n:::\n:::\n\n\n- **Resize your figures:**\n\nClick on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the pop up dialogue box go to the Figures tab and change the height and width of the figures, and hit OK when done. Then, knit your document and see how you like the new sizes. Change and knit again and again until you're happy with the figure sizes. Note that these values get saved in the YAML.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-local.png){#fig-resize-local width=634}\n:::\n:::\n\n\nYou can also use different figure sizes for differen figures. To do so click on the gear icon within the chunk where you want to make a change. Changing the figure sizes added new options to these chunks: `fig.width` and `fig.height`. You can change them by defining different values directly in your R Markdown document as well.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/theme-highlight.png){width=467}\n:::\n:::\n\n\n- **Change the look of your report:**\n\nOnce again click on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the General tab of the pop up dialogue box try out different Syntax highlighting and theme options. Hit OK and knit your document to see how it looks. Play around with these until you're happy with the look.\n\n
\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nNot sure how to use emojis on your computer? Maybe a teammate can help? Or you can ask your TA as well! \n```\n:::\n\n\n🧶 ✅ ⬆️ *Yay, you're done! Commit all remaining changes, use the commit message \"Done with Lab 1!* 💪*\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards. Before you wrap up the assignment, make sure all documents are updated on your GitHub repo.*\n", - "supporting": [ - "lab-01-hello-r-backup_files" - ], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": {}, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r-backup/figure-html/unnamed-chunk-9-1.png b/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r-backup/figure-html/unnamed-chunk-9-1.png deleted file mode 100644 index 37e10a2..0000000 Binary files a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r-backup/figure-html/unnamed-chunk-9-1.png and /dev/null differ diff --git a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r/execute-results/html.json b/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r/execute-results/html.json deleted file mode 100644 index c06722c..0000000 --- a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r/execute-results/html.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "hash": "f0e359ada2fcaa0cada531f4858bf7d3", - "result": { - "markdown": "---\ntitle: \"Lab 01 - Hello R!\"\noutput: \n tufte::tufte_html:\n css: ../lab.css\n tufte_variant: \"envisioned\"\n highlight: pygments\nlink-citations: yes\n\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nR is the name of the programming language itself and RStudio is a convenient interface.\n```\n:::\n\n\nThe main goal of this lab is to introduce you to R and RStudio, which we will be using throughout the course both to learn the statistical concepts discussed in the course and to analyze real data and come to informed conclusions.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\ngit is a version control system (like \"Track Changes\" features from Microsoft Word on steroids) and GitHub is the home for your Git-based projects on the internet (like DropBox but much, much better).\n```\n:::\n\n\nAn additional goal is to introduce you to Git and GitHub, which is the collaboration and version control system that we will be using throughout the course.\n\nAs the labs progress, you are encouraged to explore beyond what the labs dictate; a willingness to experiment will make you a much better programmer. Before we get to that stage, however, you need to build some basic fluency in R. Today we begin with the fundamental building blocks of R and RStudio: the interface, reading in data, and basic commands.\n\nAnd to make versioning simpler, this is a solo lab. Additionally, we want to make sure everyone gets a significant amount of time at the steering wheel. In future labs you'll learn about collaborating on GitHub and produce a single lab report for your team.\n\n# Connecting GitHub and RStudio Cloud\n\nYou should have already received an invitation to join the GitHub organization for this course. You need to accept the invitation before moving on to the next step.\n\nTo connect your RStudio and GitHub accounts by following the steps below:\n\n- Click on your name on the top right corner to open the right menu.\n- Then, click on Authentication.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-1.png){width=1532}\n:::\n:::\n\n\n- In the Authentication window, check the box for *Enabled*.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-2.png){width=1532}\n:::\n:::\n\n\n- In the next window, click on the green box that says \"Authorize rstudio\".\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-3.png){width=1532}\n:::\n:::\n\n\n- Back in the Authentication window, check the box for *Private repo access also enabled*, and once again, on the green box that says \"Authorize rstudio\" in the next window. At this point you should also make sure that the course organization shows up for you under *Organization access*. If it does not, this means you have not yet accepted the GitHub invitation to join the course, and you should go back and do that.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-4.png){width=1532}\n:::\n:::\n\n\n- Once you're done, both of these boxes should be checked.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-5.png){width=1532}\n:::\n:::\n\n\n- To confirm that you've successfully linked up your GitHub and RStudio Cloud accounts, [GitHub settings \\> Applications](https://github.com/settings/applications). You should see RStudio listed as an authorized app under *Authorized OAuth Apps*. If you don't this is a good time to ask a question.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-6.png){width=1532}\n:::\n:::\n\n\n# Getting started\n\nEach of your assignments will begin with the following steps. You saw these once in class yesterday, they're outlined in detail here again. Going forward each lab will start with a \"Getting started\" section but details will be a bit more sparse than this. You can always refer back to this lab for a detailed list of the steps involved for getting started with an assignment.\n\n- Click on the assignment link that you should have received in your email to create your GitHub repository (which we'll refer to as \"repo\" going forward) for the assignment. This repo contains a template you can build on to complete your assignment.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/clone-repo-link.png){width=265}\n:::\n:::\n\n\n- On GitHub, click on the green **Clone or download** button, select **Use HTTPS** (this might already be selected by default, and if it is, you'll see the text **Clone with HTTPS** as in the image below). Click on the clipboard icon to copy the repo URL.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/new-project-from-gh.png){width=224}\n:::\n:::\n\n\n- Go to RStudio Cloud and into the course workspace. Create a **New Project from Git Repo**. You will need to click on the down arrow next to the **New Project** button to see this option.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/paste-gh-repo-url.png){width=500}\n:::\n:::\n\n\n- Copy and paste the URL of your assignment repo into the dialog box:\n\n- Hit OK, and you're good to go!\n\n## Warm up\n\nBefore we introduce the data, let's warm up with some simple exercises.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nThe top portion of your R Markdown file (between the three dashed lines) is called YAML. It stands for \"YAML Ain't Markup Language\". It is a human friendly data serialization standard for all programming languages. All you need to know is that this area is called the YAML (we will refer to it as such) and that it contains meta information about your document.\n```\n:::\n\n\n### YAML\n\nOpen the R Markdown (Rmd) file in your project, change the author name to your name, and knit the document.\n\n\n::: {.cell fig.fullwidth='true'}\n::: {.cell-output-display}\n![](img/yaml-raw-to-rendered.png){width=930}\n:::\n:::\n\n\n### Committing changes\n\nThen go to the Git pane in your RStudio.\n\nIf you have made changes to your Rmd file, you should see it listed here. Click on it to select it in this list and then click on **Diff**. This shows you the *diff*erence between the last committed state of the document and its current state that includes your changes. If you're happy with these changes, write \"Update author name\" in the **Commit message** box and hit **Commit**.\n\n\n::: {.cell fig.fullwidth='true'}\n::: {.cell-output-display}\n![](img/update-author-name-commit.png){width=889}\n:::\n:::\n\n\nYou don't have to commit after every change, this would get quite cumbersome. You should consider committing states that are *meaningful to you* for inspection, comparison, or restoration. In the first few assignments we will tell you exactly when to commit and in some cases, what commit message to use. As the semester progresses we will let you make these decisions.\n\n### Pushing changes\n\nNow that you have made an update and committed this change, it's time to push these changes to the web! Or more specifically, to your repo on GitHub. Why? So that others can see your changes. And by others, we mean the course teaching team (your repos in this course are private to you and us, only).\n\nIn order to push your changes to GitHub, click on **Push**. This will prompt a dialogue box where you first need to enter your user name, and then your password. This might feel cumbersome. Bear with me... We *will* teach you how to save your password so you don't have to enter it every time. But for this one assignment you'll have to manually enter each time you push in order to gain some experience with it.\n\n## Packages\n\nIn this lab we will work with two packages: **datasauRus** which contains the dataset we'll be using and **tidyverse** which is a collection of packages for doing data analysis in a \"tidy\" way. These packages are already installed for you. You can load the packages by running the following in the Console.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse) \nlibrary(datasauRus)\n```\n:::\n\n\nNote that the packages are also loaded with the same commands in your R Markdown document.\n\n## Data\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nIf it's confusing that the data frame is called `datasaurus_dozen` when it contains 13 datasets, you're not alone! Have you heard of a [baker's dozen](https://en.wikipedia.org/wiki/Dozen#Baker's_dozen)?\n```\n:::\n\n\nThe data frame we will be working with today is called `datasaurus_dozen` and it's in the `datasauRus` package. Actually, this single data frame contains 13 datasets, designed to show us why data visualisation is important and how summary statistics alone can be misleading. The different datasets are marked by the `dataset` variable.\n\nTo find out more about the dataset, type the following in your Console: `?datasaurus_dozen`. A question mark before the name of an object will always bring up its help file. This command must be ran in the Console.\n\n# Exercises\n\n1. Based on the help file, how many rows and how many columns does the `datasaurus_dozen` file have? What are the variables included in the data frame? Add your responses to your lab report.\n\nLet's take a look at what these datasets are. To do so we can make a *frequency table* of the dataset variable:\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n count(dataset) %>%\n print(13)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble:\n# 13 × 2\n dataset \n \n 1 away \n 2 bullseye \n 3 circle \n 4 dino \n 5 dots \n 6 h_lines \n 7 high_lines\n 8 slant_down\n 9 slant_up \n10 star \n11 v_lines \n12 wide_lines\n13 x_shape \n# … with 1\n# more\n# variable:\n# n \n```\n:::\n:::\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nMatejka, Justin, and George Fitzmaurice. \"Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing.\" Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017.\n```\n:::\n\n\nThe original Datasaurus (`dino`) was created by Alberto Cairo in [this great blog post](http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html). The other Dozen were generated using simulated annealing and the process is described in the paper *Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics* through Simulated Annealing by Justin Matejka and George Fitzmaurice. In the paper, the authors simulate a variety of datasets that have the same summary statistics as the Datasaurus but have very different distributions.\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 1\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n2. Plot `y` vs. `x` for the `dino` dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset.\n\nBelow is the code you will need to complete this exercise. Basically, the answer is already given, but you need to include relevant bits in your Rmd document and successfully knit it and view the results.\n\nStart with the `datasaurus_dozen` and pipe it into the `filter` function to filter for observations where `dataset == \"dino\"`. Store the resulting filtered data frame as a new data frame called `dino_data`.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data <- datasaurus_dozen %>%\n filter(dataset == \"dino\")\n```\n:::\n\n\nThere is a lot going on here, so let's slow down and unpack it a bit.\n\nFirst, the pipe operator: `%>%`, takes what comes before it and sends it as the first argument to what comes after it. So here, we're saying `filter` the `datasaurus_dozen` data frame for observations where `dataset == \"dino\"`.\n\nSecond, the assignment operator: `<-`, assigns the name `dino_data` to the filtered data frame.\n\nNext, we need to visualize these data. We will use the `ggplot` function for this. Its first argument is the data you're visualizing. Next we define the `aes`thetic mappings. In other words, the columns of the data that get mapped to certain aesthetic features of the plot, e.g. the `x` axis will represent the variable called `x` and the `y` axis will represent the variable called `y`. Then, we add another layer to this plot where we define which `geom`etric shapes we want to use to represent each observation in the data. In this case we want these to be points, hence `geom_point`.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(data = dino_data, mapping = aes(x = x, y = y)) +\n geom_point()\n```\n\n::: {.cell-output-display}\n![](lab-01-hello-r_files/figure-html/unnamed-chunk-9-1.png){width=672}\n:::\n:::\n\n\nIf this seems like a lot, it is. And you will learn about the philosophy of building data visualizations in layer in detail next week. For now, follow along with the code that is provided.\n\nFor the second part of these exercises, we need to calculate a summary statistic: the correlation coefficient. Correlation coefficient, often referred to as $r$ in statistics, measures the linear association between two variables. You will see that some of the pairs of variables we plot do not have a linear relationship between them. This is exactly why we want to visualize first: visualize to assess the form of the relationship, and calculate $r$ only if relevant. In this case, calculating a correlation coefficient really doesn't make sense since the relationship between `x` and `y` is definitely not linear -- it's dinosaurial!\n\nBut, for illustrative purposes, let's calculate the correlation coefficient between `x` and `y`.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nStart with `dino_data` and calculate a summary statistic that we will call `r` as the `cor`relation between `x` and `y`.\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data %>%\n summarize(r = cor(x, y))\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble: 1 × 1\n r\n \n1 -0.0645\n```\n:::\n:::\n\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 2\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n3. Plot `y` vs. `x` for the `star` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *This is another good place to pause, knit, commit changes with the commit message \"Added answer for Ex 3\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n4. Plot `y` vs. `x` for the `circle` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *You should pause again, commit changes with the commit message \"Added answer for Ex 4\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nFacet by the dataset variable, placing the plots in a 3 column grid, and don't add a legend.\n```\n:::\n\n\n5. Finally, let's plot all datasets at once. In order to do this we will make use of faceting.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(datasaurus_dozen, aes(x = x, y = y, color = dataset))+\n geom_point()+\n facet_wrap(~ dataset, ncol = 3) +\n theme(legend.position = \"none\")\n```\n:::\n\n\nAnd we can use the `group_by` function to generate all the summary correlation coefficients.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n group_by(dataset) %>%\n summarize(r = cor(x, y)) %>%\n print(13)\n```\n:::\n\n\nYou're done with the data analysis exercises, but we'd like you to do two more things:\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-global.png){#fig-resize-global width=468}\n:::\n:::\n\n\n- **Resize your figures:**\n\nClick on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the pop up dialogue box go to the Figures tab and change the height and width of the figures, and hit OK when done. Then, knit your document and see how you like the new sizes. Change and knit again and again until you're happy with the figure sizes. Note that these values get saved in the YAML.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-local.png){#fig-resize-local width=634}\n:::\n:::\n\n\nYou can also use different figure sizes for differen figures. To do so click on the gear icon within the chunk where you want to make a change. Changing the figure sizes added new options to these chunks: `fig.width` and `fig.height`. You can change them by defining different values directly in your R Markdown document as well.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/theme-highlight.png){width=467}\n:::\n:::\n\n\n- **Change the look of your report:**\n\nOnce again click on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the General tab of the pop up dialogue box try out different Syntax highlighting and theme options. Hit OK and knit your document to see how it looks. Play around with these until you're happy with the look.\n\n
\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nNot sure how to use emojis on your computer? Maybe a teammate can help? Or you can ask your TA as well!\n```\n:::\n\n\n🧶 ✅ ⬆️ *Yay, you're done! Commit all remaining changes, use the commit message \"Done with Lab 1!* 💪*\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards. Before you wrap up the assignment, make sure all documents are updated on your GitHub repo.*\n", - "supporting": [ - "lab-01-hello-r_files" - ], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": {}, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r/figure-html/unnamed-chunk-9-1.png b/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r/figure-html/unnamed-chunk-9-1.png deleted file mode 100644 index 37e10a2..0000000 Binary files a/_freeze/course-materials/lab-instructions/Did not use/lab-01/lab-01-hello-r/figure-html/unnamed-chunk-9-1.png and /dev/null differ diff --git a/_freeze/course-materials/lab-instructions/lab-01/.DS_Store b/_freeze/course-materials/lab-instructions/lab-01/.DS_Store deleted file mode 100644 index 9998aff..0000000 Binary files a/_freeze/course-materials/lab-instructions/lab-01/.DS_Store and /dev/null differ diff --git a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r-backup/execute-results/html.json b/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r-backup/execute-results/html.json deleted file mode 100644 index 6ce3e08..0000000 --- a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r-backup/execute-results/html.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "hash": "0c435888c13db57f3bee4c97110f5503", - "result": { - "markdown": "---\ntitle: \"Lab 01 - Hello R!\"\noutput: \n tufte::tufte_html:\n css: ../lab.css\n tufte_variant: \"envisioned\"\n highlight: pygments\nlink-citations: yes\n\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nR is the name of the programming language itself and RStudio is a convenient interface.\n```\n:::\n\n\nThe main goal of this lab is to introduce you to R and RStudio, which we will be using throughout the course both to learn the statistical concepts discussed in the course and to analyze real data and come to informed conclusions.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\ngit is a version control system (like \"Track Changes\" features from Microsoft Word on steroids) and GitHub is the home for your Git-based projects on the internet (like DropBox but much, much better).\n```\n:::\n\n\nAn additional goal is to introduce you to Git and GitHub, which is the collaboration and version control system that we will be using throughout the course.\n\nAs the labs progress, you are encouraged to explore beyond what the labs dictate; a willingness to experiment will make you a much better programmer. Before we get to that stage, however, you need to build some basic fluency in R. Today we begin with the fundamental building blocks of R and RStudio: the interface, reading in data, and basic commands.\n\nAnd to make versioning simpler, this is a solo lab. Additionally, we want to make sure everyone gets a significant amount of time at the steering wheel. In future labs you'll learn about collaborating on GitHub and produce a single lab report for your team.\n\n\n\n## Warm up\n\nBefore we introduce the data, let's warm up with some simple exercises.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nThe top portion of your R Markdown file (between the three dashed lines) is called YAML. It stands for \"YAML Ain't Markup Language\". It is a human friendly data serialization standard for all programming languages. All you need to know is that this area is called the YAML (we will refer to it as such) and that it contains meta information about your document.\n```\n:::\n\n\n### YAML\n\nOpen the R Markdown (Rmd) file in your project, change the author name to your name, and knit the document.\n\n\n::: {.cell fig.fullwidth='true'}\n::: {.cell-output-display}\n![](img/yaml-raw-to-rendered.png){width=930}\n:::\n:::\n\n\n## Packages\n\nIn this lab we will work with two packages: **datasauRus** which contains the dataset we'll be using and **tidyverse** which is a collection of packages for doing data analysis in a \"tidy\" way. These packages are already installed for you. You can load the packages by running the following in the Console.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse) \nlibrary(datasauRus)\n```\n:::\n\n\nNote that the packages are also loaded with the same commands in your R Markdown document.\n\n## Data\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nIf it's confusing that the data frame is called `datasaurus_dozen` when it contains 13 datasets, you're not alone! Have you heard of a [baker's dozen](https://en.wikipedia.org/wiki/Dozen#Baker's_dozen)?\n```\n:::\n\n\nThe data frame we will be working with today is called `datasaurus_dozen` and it's in the `datasauRus` package. Actually, this single data frame contains 13 datasets, designed to show us why data visualisation is important and how summary statistics alone can be misleading. The different datasets are marked by the `dataset` variable.\n\nTo find out more about the dataset, type the following in your Console: `?datasaurus_dozen`. A question mark before the name of an object will always bring up its help file. This command must be ran in the Console.\n\n# Exercises\n\n1. Based on the help file, how many rows and how many columns does the `datasaurus_dozen` file have? What are the variables included in the data frame? Add your responses to your lab report.\n\nLet's take a look at what these datasets are. To do so we can make a *frequency table* of the dataset variable:\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n count(dataset) %>%\n print(13)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble:\n# 13 × 2\n dataset \n \n 1 away \n 2 bullseye \n 3 circle \n 4 dino \n 5 dots \n 6 h_lines \n 7 high_lines\n 8 slant_down\n 9 slant_up \n10 star \n11 v_lines \n12 wide_lines\n13 x_shape \n# … with 1\n# more\n# variable:\n# n \n# ℹ Use `colnames()` to see all variable names\n```\n:::\n:::\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nMatejka, Justin, and George Fitzmaurice. \"Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing.\" Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017.\n```\n:::\n\n\nThe original Datasaurus (`dino`) was created by Alberto Cairo in [this great blog post](http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html). The other Dozen were generated using simulated annealing and the process is described in the paper *Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics* through Simulated Annealing by Justin Matejka and George Fitzmaurice. In the paper, the authors simulate a variety of datasets that have the same summary statistics as the Datasaurus but have very different distributions.\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 1\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n2. Plot `y` vs. `x` for the `dino` dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset.\n\nBelow is the code you will need to complete this exercise. Basically, the answer is already given, but you need to include relevant bits in your Rmd document and successfully knit it and view the results.\n\nStart with the `datasaurus_dozen` and pipe it into the `filter` function to filter for observations where `dataset == \"dino\"`. Store the resulting filtered data frame as a new data frame called `dino_data`.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data <- datasaurus_dozen %>%\n filter(dataset == \"dino\")\n```\n:::\n\n\nThere is a lot going on here, so let's slow down and unpack it a bit.\n\nFirst, the pipe operator: `%>%`, takes what comes before it and sends it as the first argument to what comes after it. So here, we're saying `filter` the `datasaurus_dozen` data frame for observations where `dataset == \"dino\"`.\n\nSecond, the assignment operator: `<-`, assigns the name `dino_data` to the filtered data frame.\n\nNext, we need to visualize these data. We will use the `ggplot` function for this. Its first argument is the data you're visualizing. Next we define the `aes`thetic mappings. In other words, the columns of the data that get mapped to certain aesthetic features of the plot, e.g. the `x` axis will represent the variable called `x` and the `y` axis will represent the variable called `y`. Then, we add another layer to this plot where we define which `geom`etric shapes we want to use to represent each observation in the data. In this case we want these to be points, hence `geom_point`.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(data = dino_data, mapping = aes(x = x, y = y)) +\n geom_point()\n```\n\n::: {.cell-output-display}\n![](lab-01-hello-r-backup_files/figure-html/unnamed-chunk-9-1.png){width=672}\n:::\n:::\n\n\nIf this seems like a lot, it is. And you will learn about the philosophy of building data visualizations in layer in detail next week. For now, follow along with the code that is provided.\n\nFor the second part of these exercises, we need to calculate a summary statistic: the correlation coefficient. Correlation coefficient, often referred to as $r$ in statistics, measures the linear association between two variables. You will see that some of the pairs of variables we plot do not have a linear relationship between them. This is exactly why we want to visualize first: visualize to assess the form of the relationship, and calculate $r$ only if relevant. In this case, calculating a correlation coefficient really doesn't make sense since the relationship between `x` and `y` is definitely not linear -- it's dinosaurial!\n\nBut, for illustrative purposes, let's calculate the correlation coefficient between `x` and `y`.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nStart with `dino_data` and calculate a summary statistic that we will call `r` as the `cor`relation between `x` and `y`.\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data %>%\n summarize(r = cor(x, y))\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble: 1 × 1\n r\n \n1 -0.0645\n```\n:::\n:::\n\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 2\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n3. Plot `y` vs. `x` for the `star` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *This is another good place to pause, knit, commit changes with the commit message \"Added answer for Ex 3\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n4. Plot `y` vs. `x` for the `circle` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *You should pause again, commit changes with the commit message \"Added answer for Ex 4\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nFacet by the dataset variable, placing the plots in a 3 column grid, and don't add a legend.\n```\n:::\n\n\n5. Finally, let's plot all datasets at once. In order to do this we will make use of faceting.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(datasaurus_dozen, aes(x = x, y = y, color = dataset))+\n geom_point()+\n facet_wrap(~ dataset, ncol = 3) +\n theme(legend.position = \"none\")\n```\n:::\n\n\nAnd we can use the `group_by` function to generate all the summary correlation coefficients.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n group_by(dataset) %>%\n summarize(r = cor(x, y)) %>%\n print(13)\n```\n:::\n\n\nYou're done with the data analysis exercises, but we'd like you to do two more things:\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-global.png){#fig-resize-global width=468}\n:::\n:::\n\n\n- **Resize your figures:**\n\nClick on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the pop up dialogue box go to the Figures tab and change the height and width of the figures, and hit OK when done. Then, knit your document and see how you like the new sizes. Change and knit again and again until you're happy with the figure sizes. Note that these values get saved in the YAML.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-local.png){#fig-resize-local width=634}\n:::\n:::\n\n\nYou can also use different figure sizes for differen figures. To do so click on the gear icon within the chunk where you want to make a change. Changing the figure sizes added new options to these chunks: `fig.width` and `fig.height`. You can change them by defining different values directly in your R Markdown document as well.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/theme-highlight.png){width=467}\n:::\n:::\n\n\n- **Change the look of your report:**\n\nOnce again click on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the General tab of the pop up dialogue box try out different Syntax highlighting and theme options. Hit OK and knit your document to see how it looks. Play around with these until you're happy with the look.\n\n
\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nNot sure how to use emojis on your computer? Maybe a teammate can help? Or you can ask your TA as well! \n```\n:::\n\n\n🧶 ✅ ⬆️ *Yay, you're done! Commit all remaining changes, use the commit message \"Done with Lab 1!* 💪*\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards. Before you wrap up the assignment, make sure all documents are updated on your GitHub repo.*\n", - "supporting": [ - "lab-01-hello-r-backup_files" - ], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": {}, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r-backup/figure-html/unnamed-chunk-9-1.png b/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r-backup/figure-html/unnamed-chunk-9-1.png deleted file mode 100644 index 37e10a2..0000000 Binary files a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r-backup/figure-html/unnamed-chunk-9-1.png and /dev/null differ diff --git a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r/execute-results/html.json b/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r/execute-results/html.json deleted file mode 100644 index 6dc2194..0000000 --- a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r/execute-results/html.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "hash": "f0e359ada2fcaa0cada531f4858bf7d3", - "result": { - "markdown": "---\ntitle: \"Lab 01 - Hello R!\"\noutput: \n tufte::tufte_html:\n css: ../lab.css\n tufte_variant: \"envisioned\"\n highlight: pygments\nlink-citations: yes\n\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nR is the name of the programming language itself and RStudio is a convenient interface.\n```\n:::\n\n\nThe main goal of this lab is to introduce you to R and RStudio, which we will be using throughout the course both to learn the statistical concepts discussed in the course and to analyze real data and come to informed conclusions.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\ngit is a version control system (like \"Track Changes\" features from Microsoft Word on steroids) and GitHub is the home for your Git-based projects on the internet (like DropBox but much, much better).\n```\n:::\n\n\nAn additional goal is to introduce you to Git and GitHub, which is the collaboration and version control system that we will be using throughout the course.\n\nAs the labs progress, you are encouraged to explore beyond what the labs dictate; a willingness to experiment will make you a much better programmer. Before we get to that stage, however, you need to build some basic fluency in R. Today we begin with the fundamental building blocks of R and RStudio: the interface, reading in data, and basic commands.\n\nAnd to make versioning simpler, this is a solo lab. Additionally, we want to make sure everyone gets a significant amount of time at the steering wheel. In future labs you'll learn about collaborating on GitHub and produce a single lab report for your team.\n\n# Connecting GitHub and RStudio Cloud\n\nYou should have already received an invitation to join the GitHub organization for this course. You need to accept the invitation before moving on to the next step.\n\nTo connect your RStudio and GitHub accounts by following the steps below:\n\n- Click on your name on the top right corner to open the right menu.\n- Then, click on Authentication.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-1.png){width=1532}\n:::\n:::\n\n\n- In the Authentication window, check the box for *Enabled*.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-2.png){width=1532}\n:::\n:::\n\n\n- In the next window, click on the green box that says \"Authorize rstudio\".\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-3.png){width=1532}\n:::\n:::\n\n\n- Back in the Authentication window, check the box for *Private repo access also enabled*, and once again, on the green box that says \"Authorize rstudio\" in the next window. At this point you should also make sure that the course organization shows up for you under *Organization access*. If it does not, this means you have not yet accepted the GitHub invitation to join the course, and you should go back and do that.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-4.png){width=1532}\n:::\n:::\n\n\n- Once you're done, both of these boxes should be checked.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-5.png){width=1532}\n:::\n:::\n\n\n- To confirm that you've successfully linked up your GitHub and RStudio Cloud accounts, [GitHub settings \\> Applications](https://github.com/settings/applications). You should see RStudio listed as an authorized app under *Authorized OAuth Apps*. If you don't this is a good time to ask a question.\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](img/github-auth-6.png){width=1532}\n:::\n:::\n\n\n# Getting started\n\nEach of your assignments will begin with the following steps. You saw these once in class yesterday, they're outlined in detail here again. Going forward each lab will start with a \"Getting started\" section but details will be a bit more sparse than this. You can always refer back to this lab for a detailed list of the steps involved for getting started with an assignment.\n\n- Click on the assignment link that you should have received in your email to create your GitHub repository (which we'll refer to as \"repo\" going forward) for the assignment. This repo contains a template you can build on to complete your assignment.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/clone-repo-link.png){width=265}\n:::\n:::\n\n\n- On GitHub, click on the green **Clone or download** button, select **Use HTTPS** (this might already be selected by default, and if it is, you'll see the text **Clone with HTTPS** as in the image below). Click on the clipboard icon to copy the repo URL.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/new-project-from-gh.png){width=224}\n:::\n:::\n\n\n- Go to RStudio Cloud and into the course workspace. Create a **New Project from Git Repo**. You will need to click on the down arrow next to the **New Project** button to see this option.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/paste-gh-repo-url.png){width=500}\n:::\n:::\n\n\n- Copy and paste the URL of your assignment repo into the dialog box:\n\n- Hit OK, and you're good to go!\n\n## Warm up\n\nBefore we introduce the data, let's warm up with some simple exercises.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nThe top portion of your R Markdown file (between the three dashed lines) is called YAML. It stands for \"YAML Ain't Markup Language\". It is a human friendly data serialization standard for all programming languages. All you need to know is that this area is called the YAML (we will refer to it as such) and that it contains meta information about your document.\n```\n:::\n\n\n### YAML\n\nOpen the R Markdown (Rmd) file in your project, change the author name to your name, and knit the document.\n\n\n::: {.cell fig.fullwidth='true'}\n::: {.cell-output-display}\n![](img/yaml-raw-to-rendered.png){width=930}\n:::\n:::\n\n\n### Committing changes\n\nThen go to the Git pane in your RStudio.\n\nIf you have made changes to your Rmd file, you should see it listed here. Click on it to select it in this list and then click on **Diff**. This shows you the *diff*erence between the last committed state of the document and its current state that includes your changes. If you're happy with these changes, write \"Update author name\" in the **Commit message** box and hit **Commit**.\n\n\n::: {.cell fig.fullwidth='true'}\n::: {.cell-output-display}\n![](img/update-author-name-commit.png){width=889}\n:::\n:::\n\n\nYou don't have to commit after every change, this would get quite cumbersome. You should consider committing states that are *meaningful to you* for inspection, comparison, or restoration. In the first few assignments we will tell you exactly when to commit and in some cases, what commit message to use. As the semester progresses we will let you make these decisions.\n\n### Pushing changes\n\nNow that you have made an update and committed this change, it's time to push these changes to the web! Or more specifically, to your repo on GitHub. Why? So that others can see your changes. And by others, we mean the course teaching team (your repos in this course are private to you and us, only).\n\nIn order to push your changes to GitHub, click on **Push**. This will prompt a dialogue box where you first need to enter your user name, and then your password. This might feel cumbersome. Bear with me... We *will* teach you how to save your password so you don't have to enter it every time. But for this one assignment you'll have to manually enter each time you push in order to gain some experience with it.\n\n## Packages\n\nIn this lab we will work with two packages: **datasauRus** which contains the dataset we'll be using and **tidyverse** which is a collection of packages for doing data analysis in a \"tidy\" way. These packages are already installed for you. You can load the packages by running the following in the Console.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse) \nlibrary(datasauRus)\n```\n:::\n\n\nNote that the packages are also loaded with the same commands in your R Markdown document.\n\n## Data\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nIf it's confusing that the data frame is called `datasaurus_dozen` when it contains 13 datasets, you're not alone! Have you heard of a [baker's dozen](https://en.wikipedia.org/wiki/Dozen#Baker's_dozen)?\n```\n:::\n\n\nThe data frame we will be working with today is called `datasaurus_dozen` and it's in the `datasauRus` package. Actually, this single data frame contains 13 datasets, designed to show us why data visualisation is important and how summary statistics alone can be misleading. The different datasets are marked by the `dataset` variable.\n\nTo find out more about the dataset, type the following in your Console: `?datasaurus_dozen`. A question mark before the name of an object will always bring up its help file. This command must be ran in the Console.\n\n# Exercises\n\n1. Based on the help file, how many rows and how many columns does the `datasaurus_dozen` file have? What are the variables included in the data frame? Add your responses to your lab report.\n\nLet's take a look at what these datasets are. To do so we can make a *frequency table* of the dataset variable:\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n count(dataset) %>%\n print(13)\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble:\n# 13 × 2\n dataset \n \n 1 away \n 2 bullseye \n 3 circle \n 4 dino \n 5 dots \n 6 h_lines \n 7 high_lines\n 8 slant_down\n 9 slant_up \n10 star \n11 v_lines \n12 wide_lines\n13 x_shape \n# … with 1\n# more\n# variable:\n# n \n# ℹ Use `colnames()` to see all variable names\n```\n:::\n:::\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nMatejka, Justin, and George Fitzmaurice. \"Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing.\" Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017.\n```\n:::\n\n\nThe original Datasaurus (`dino`) was created by Alberto Cairo in [this great blog post](http://www.thefunctionalart.com/2016/08/download-datasaurus-never-trust-summary.html). The other Dozen were generated using simulated annealing and the process is described in the paper *Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics* through Simulated Annealing by Justin Matejka and George Fitzmaurice. In the paper, the authors simulate a variety of datasets that have the same summary statistics as the Datasaurus but have very different distributions.\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 1\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n2. Plot `y` vs. `x` for the `dino` dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset.\n\nBelow is the code you will need to complete this exercise. Basically, the answer is already given, but you need to include relevant bits in your Rmd document and successfully knit it and view the results.\n\nStart with the `datasaurus_dozen` and pipe it into the `filter` function to filter for observations where `dataset == \"dino\"`. Store the resulting filtered data frame as a new data frame called `dino_data`.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data <- datasaurus_dozen %>%\n filter(dataset == \"dino\")\n```\n:::\n\n\nThere is a lot going on here, so let's slow down and unpack it a bit.\n\nFirst, the pipe operator: `%>%`, takes what comes before it and sends it as the first argument to what comes after it. So here, we're saying `filter` the `datasaurus_dozen` data frame for observations where `dataset == \"dino\"`.\n\nSecond, the assignment operator: `<-`, assigns the name `dino_data` to the filtered data frame.\n\nNext, we need to visualize these data. We will use the `ggplot` function for this. Its first argument is the data you're visualizing. Next we define the `aes`thetic mappings. In other words, the columns of the data that get mapped to certain aesthetic features of the plot, e.g. the `x` axis will represent the variable called `x` and the `y` axis will represent the variable called `y`. Then, we add another layer to this plot where we define which `geom`etric shapes we want to use to represent each observation in the data. In this case we want these to be points, hence `geom_point`.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(data = dino_data, mapping = aes(x = x, y = y)) +\n geom_point()\n```\n\n::: {.cell-output-display}\n![](lab-01-hello-r_files/figure-html/unnamed-chunk-9-1.png){width=672}\n:::\n:::\n\n\nIf this seems like a lot, it is. And you will learn about the philosophy of building data visualizations in layer in detail next week. For now, follow along with the code that is provided.\n\nFor the second part of these exercises, we need to calculate a summary statistic: the correlation coefficient. Correlation coefficient, often referred to as $r$ in statistics, measures the linear association between two variables. You will see that some of the pairs of variables we plot do not have a linear relationship between them. This is exactly why we want to visualize first: visualize to assess the form of the relationship, and calculate $r$ only if relevant. In this case, calculating a correlation coefficient really doesn't make sense since the relationship between `x` and `y` is definitely not linear -- it's dinosaurial!\n\nBut, for illustrative purposes, let's calculate the correlation coefficient between `x` and `y`.\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nStart with `dino_data` and calculate a summary statistic that we will call `r` as the `cor`relation between `x` and `y`.\n```\n:::\n\n::: {.cell}\n\n```{.r .cell-code}\ndino_data %>%\n summarize(r = cor(x, y))\n```\n\n::: {.cell-output .cell-output-stdout}\n```\n# A tibble: 1 × 1\n r\n \n1 -0.0645\n```\n:::\n:::\n\n\n🧶 ✅ ⬆️ *Knit, commit, and push your changes to GitHub with the commit message \"Added answer for Ex 2\". Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n3. Plot `y` vs. `x` for the `star` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *This is another good place to pause, knit, commit changes with the commit message \"Added answer for Ex 3\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n4. Plot `y` vs. `x` for the `circle` dataset. You can (and should) reuse code we introduced above, just replace the dataset name with the desired dataset. Then, calculate the correlation coefficient between `x` and `y` for this dataset. How does this value compare to the `r` of `dino`?\n\n🧶 ✅ ⬆️ *You should pause again, commit changes with the commit message \"Added answer for Ex 4\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards.*\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nFacet by the dataset variable, placing the plots in a 3 column grid, and don't add a legend.\n```\n:::\n\n\n5. Finally, let's plot all datasets at once. In order to do this we will make use of faceting.\n\n\n::: {.cell fig.fullwidth='true'}\n\n```{.r .cell-code}\nggplot(datasaurus_dozen, aes(x = x, y = y, color = dataset))+\n geom_point()+\n facet_wrap(~ dataset, ncol = 3) +\n theme(legend.position = \"none\")\n```\n:::\n\n\nAnd we can use the `group_by` function to generate all the summary correlation coefficients.\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndatasaurus_dozen %>%\n group_by(dataset) %>%\n summarize(r = cor(x, y)) %>%\n print(13)\n```\n:::\n\n\nYou're done with the data analysis exercises, but we'd like you to do two more things:\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-global.png){#fig-resize-global width=468}\n:::\n:::\n\n\n- **Resize your figures:**\n\nClick on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the pop up dialogue box go to the Figures tab and change the height and width of the figures, and hit OK when done. Then, knit your document and see how you like the new sizes. Change and knit again and again until you're happy with the figure sizes. Note that these values get saved in the YAML.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/fig-resize-local.png){#fig-resize-local width=634}\n:::\n:::\n\n\nYou can also use different figure sizes for differen figures. To do so click on the gear icon within the chunk where you want to make a change. Changing the figure sizes added new options to these chunks: `fig.width` and `fig.height`. You can change them by defining different values directly in your R Markdown document as well.\n\n\n::: {.cell fig.margin='true'}\n::: {.cell-output-display}\n![](img/theme-highlight.png){width=467}\n:::\n:::\n\n\n- **Change the look of your report:**\n\nOnce again click on the gear icon in on top of the R Markdown document, and select \"Output Options...\" in the dropdown menu. In the General tab of the pop up dialogue box try out different Syntax highlighting and theme options. Hit OK and knit your document to see how it looks. Play around with these until you're happy with the look.\n\n
\n\n\n::: {.cell}\n\n```{.marginfigure .cell-code}\nNot sure how to use emojis on your computer? Maybe a teammate can help? Or you can ask your TA as well!\n```\n:::\n\n\n🧶 ✅ ⬆️ *Yay, you're done! Commit all remaining changes, use the commit message \"Done with Lab 1!* 💪*\", and push. Make sure to commit and push all changed files so that your Git pane is cleared up afterwards. Before you wrap up the assignment, make sure all documents are updated on your GitHub repo.*\n", - "supporting": [ - "lab-01-hello-r_files" - ], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": {}, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r/figure-html/unnamed-chunk-9-1.png b/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r/figure-html/unnamed-chunk-9-1.png deleted file mode 100644 index 37e10a2..0000000 Binary files a/_freeze/course-materials/lab-instructions/lab-01/lab-01-hello-r/figure-html/unnamed-chunk-9-1.png and /dev/null differ diff --git a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/execute-results/html.json b/_freeze/course-materials/lectures/Getting_Started_with_Quarto/execute-results/html.json deleted file mode 100644 index 5f3e168..0000000 --- a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/execute-results/html.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "hash": "d81e98011d1f7900662a7d7f15b44acf", - "result": { - "markdown": "---\ntitle: \"Getting_Started_with_Rmarkdown\"\nauthor: \"Nic Schwab\"\nformat:\n html:\n toc: true\n toc-depth: 1\n toc-float: true\n toc-location: left\n toc-title: \"\"\n df-print: kable\n\neditor: visual\n\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n\n# Open a new document\n\nIn the upper left:\n\n- ![](/images/paste-2BFF12EB.png)\n- choose R Markdown ... (We'll also use .qmd too)\n- choose html\n\n# The \"**?\"**\n\nHow to get more information on a dataset in R.\n\n\n::: {.cell}\n\n```{.r .cell-code}\n?mtcars\n```\n:::\n\n\n# Load the tidyverse\n\n![Behold](/images/tidyverse2.png){width=\"280\"}\n\nWhat is the tidyverse?\n\nHit the little green c to add a chunk\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n```\n\n::: {.cell-output .cell-output-stderr}\n```\n── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──\n✔ ggplot2 3.3.6 ✔ purrr 0.3.4\n✔ tibble 3.1.8 ✔ dplyr 1.0.9\n✔ tidyr 1.2.0 ✔ stringr 1.4.0\n✔ readr 2.1.2 ✔ forcats 0.5.1\n── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n✖ dplyr::filter() masks stats::filter()\n✖ dplyr::lag() masks stats::lag()\n```\n:::\n\n```{.r .cell-code}\nview(mtcars)\n```\n:::\n\n\nWhy do we load the tidyverse?\n\n# Let's compare cylinders and gas mileage\n\n\n::: {.cell}\n\n```{.r .cell-code}\nmtcars |>\n ggplot(mapping = aes(mpg,cyl))+\n geom_point()\n```\n\n::: {.cell-output-display}\n![](Getting_Started_with_Quarto_files/figure-html/unnamed-chunk-3-1.png){width=672}\n:::\n:::\n\n\nHow can we make this graph clearer?\n\n# Let's add another aesthetic, color:\n\n\n::: {.cell}\n\n```{.r .cell-code}\nmtcars |>\n ggplot(aes(mpg,cyl,color= am))+\n geom_point() \n```\n\n::: {.cell-output-display}\n![](Getting_Started_with_Quarto_files/figure-html/unnamed-chunk-4-1.png){width=672}\n:::\n:::\n\n\n# Let's add a title and change the x and y axes labels.\n\n\n::: {.cell}\n\n```{.r .cell-code}\nmtcars |>\n ggplot(aes(mpg,cyl,color= factor(am)))+\n geom_point()+\n #scale_fill_brewer(palette = \"blues\") +\n labs(title = \"Cylinders vs MPG\",x=\"Miles Per Gallon\",y=\"Cylinders\")\n```\n\n::: {.cell-output-display}\n![](Getting_Started_with_Quarto_files/figure-html/unnamed-chunk-5-1.png){width=672}\n:::\n:::\n\n\n# [Edit the legend](http://www.cookbook-r.com/Graphs/Legends_(ggplot2)/)\n\n\n::: {.cell}\n\n```{.r .cell-code}\nmtcars |>\n ggplot(aes(mpg,cyl,color= factor(am)))+\n geom_point()+\n scale_fill_brewer(palette = \"YlOrRd\") +\n scale_color_discrete(name=\"Transmission Type\",\n breaks=c(\"0\",\"1\"),\n labels=c(\"automatic\",\"manual\"))+\n labs(title = \"Cylinders vs MPG\",x=\"Miles Per Gallon\",y=\"Cylinders\")\n```\n\n::: {.cell-output-display}\n![](Getting_Started_with_Quarto_files/figure-html/unnamed-chunk-6-1.png){width=672}\n:::\n:::\n\n\nLet's Facet a bit\n\n\n::: {.cell}\n\n```{.r .cell-code}\nmtcars |>\n ggplot(aes(mpg,color= factor(am)))+\n geom_boxplot()+\n facet_grid(rows=vars(cyl)) +\n scale_fill_brewer(palette = \"YlOrRd\") +\n scale_color_discrete(name=\"Transmission Type\",\n breaks=c(\"0\",\"1\"),\n labels=c(\"automatic\",\"manual\"))+\n labs(title = \"Cylinders vs MPG\",x=\"Miles Per Gallon\",y=\"Cylinders\")\n```\n\n::: {.cell-output-display}\n![](Getting_Started_with_Quarto_files/figure-html/unnamed-chunk-7-1.png){width=672}\n:::\n:::\n\n\n# How do you remember all of this?\n\n- ![](/images/floppydisk.png)Save this file\n- [Resources Tab](.\\Resources.html)\n\n# You try:\n\n## Make a point plot with the variables disp and hp from the mtcars data frame.\n\nHint 1: Copy the code from above and just make little changes.\n", - "supporting": [ - "Getting_Started_with_Quarto_files" - ], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": {}, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-3-1.png b/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-3-1.png deleted file mode 100644 index 1b7a59f..0000000 Binary files a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-3-1.png and /dev/null differ diff --git a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-4-1.png b/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-4-1.png deleted file mode 100644 index 52f25ac..0000000 Binary files a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-4-1.png and /dev/null differ diff --git a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-5-1.png b/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-5-1.png deleted file mode 100644 index be4f9f1..0000000 Binary files a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-5-1.png and /dev/null differ diff --git a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-6-1.png b/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-6-1.png deleted file mode 100644 index 7b68185..0000000 Binary files a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-6-1.png and /dev/null differ diff --git a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-7-1.png b/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-7-1.png deleted file mode 100644 index dfff50d..0000000 Binary files a/_freeze/course-materials/lectures/Getting_Started_with_Quarto/figure-html/unnamed-chunk-7-1.png and /dev/null differ diff --git a/_freeze/course-materials/lectures/mdsr_color/execute-results/html.json b/_freeze/course-materials/lectures/mdsr_color/execute-results/html.json deleted file mode 100644 index 4fab2d4..0000000 --- a/_freeze/course-materials/lectures/mdsr_color/execute-results/html.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "hash": "69c087dd21448f5cd002d925ad7a8a33", - "result": { - "markdown": "---\ntitle: \"Color\"\nauthor: \"Ben Baumer\"\nformat: \n revealjs:\n controls: \n true\n\neditor: visual\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n\n\n\n------------------------------------------------------------------------\n\n# Color\n\n------------------------------------------------------------------------\n\n## Colors can be added to aestheitcs, or for the whole graph. \n\nType ?geom_point() to see which asthetics are allowed for the point plot\n\n## Three color schemes\n\n- Sequential\n\n - Single hue\n - Multi-hue\n\n- Diverging\n\n- Categorical\n\n![](https://media.giphy.com/media/3oriO1VZF0t5PyQVlC/giphy.gif){.absolute top=\"80\" right=\"50\"}\n\n------------------------------------------------------------------------\n\nBig Idea: color **choices matter** and there are better and worse choices\n\n\n\n\n\n------------------------------------------------------------------------\n\n## Sequential, single hue\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/cali_single_hue-1.png){width=960}\n:::\n:::\n\n\nMap [**saturation**](https://en.wikipedia.org/wiki/Hue) to numeric variable\n\nNo more than 5--6 levels\n\nPeople interpret high saturation as more\n\n------------------------------------------------------------------------\n\n## Sequential, double hue\n\n- Map [**hue**](https://en.wikipedia.org/wiki/Hue) to numeric variable\n\n- Generally, no more than 2 anchor colors\n\n- People interpret darker hue as more\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/cali-multihue-1.png){width=960}\n:::\n:::\n\n\n------------------------------------------------------------------------\n\n## Diverging\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/cali-diverging-1.png){width=960}\n:::\n:::\n\n\nTwo colors used to indicate extremes of a range\n\nNeutral color in the middle\n\ndistinguish between zero and missing\n\n------------------------------------------------------------------------\n\n## Categorical\n\nDifferent color = different category\n\nchoose colors that are - perceptually distant - roughly the same saturation\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/cali-categorical-1.png){width=960}\n:::\n:::\n\n\n------------------------------------------------------------------------\n\n## Built-in color palettes\n\n- [`Cynthia Brewer`](http://www.colorbrewer2.org)\n\n- `RColorBrewer` package\n\n- `scale_color_brewer()` function\n\n- [`viridis`](https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html) palettes mimic `matplotlib` Python library\n\n------------------------------------------------------------------------\n\n## Sorry, no rainbows\n\n![](https://media.giphy.com/media/3o7aD0Meng5BT8IejK/giphy.gif)\n\n- NO RAINBOWS!!\n\n- [Why rainbow colors aren't the best option for data visualizations](https://www.poynter.org/archive/2013/why-rainbow-colors-arent-always-the-best-options-for-data-visualizations/)\n\n- [How The Rainbow Color Map Misleads](https://eagereyes.org/basics/rainbow-color-map)\n\n[dataviz cheatsheet](https://policyviz.com/2018/08/07/dataviz-cheatsheet/)\n\n------------------------------------------------------------------------\n\n## `ggplot2` default color\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/norm_plot-1.png){width=960}\n:::\n:::\n\n\n------------------------------------------------------------------------\n\n## ColorBrewer `Purples` palette\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/norm_plot_distiller-1.png){width=960}\n:::\n:::\n\n\n------------------------------------------------------------------------\n\n## ColorBrewer `YlGn` palette\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/norm_plot_distiller2-1.png){width=960}\n:::\n:::\n\n\n## Viridis palette\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/norm_plot_viridis-1.png){width=960}\n:::\n:::\n\n\n# Themes\n\ninstall.packages(\"ggthemes\")\n\n------------------------------------------------------------------------\n\n## Take any ggplot...\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/gg1-1.png){width=960}\n:::\n:::\n\n\n------------------------------------------------------------------------\n\n## ...and change themes with `ggthemes`\n\n\n::: {.cell}\n::: {.cell-output-display}\n![](figures/gg-theme-1.png){width=960}\n:::\n:::\n\n\n------------------------------------------------------------------------\n\n[More themes](https://ggplot2.tidyverse.org/reference/ggtheme.html)\n", - "supporting": [], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": { - "include-after-body": [ - "\n\n\n" - ] - }, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/lectures/mdsr_viz_1_taxonomy/execute-results/html.json b/_freeze/course-materials/lectures/mdsr_viz_1_taxonomy/execute-results/html.json deleted file mode 100644 index 4dcb12a..0000000 --- a/_freeze/course-materials/lectures/mdsr_viz_1_taxonomy/execute-results/html.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "hash": "7c6f2560b055b264bbfdae3a652bf3b1", - "result": { - "markdown": "---\ntitle: \"Vizualization_Taxonomy\"\nauthor: \"Ben Baumer\"\nformat: \n revealjs:\n controls: \n true\n\neditor: visual\nexecute:\n freeze: auto # re-render only when source changes\n---\n\n\n\n\n------------------------------------------------------------------------\n\n## [Borrowing heavily from Nathan Yau](https://flowingdata.com/data-points/)\n\n![](https://images-na.ssl-images-amazon.com/images/I/514aUwRUhmL._UX250_.jpg){fig-align=\"center\"}\n\n## Elements of data graphics\n\n- Visual cues\n - position, length, area, etc.\n- Coordinate system\n - how are the data points organized?\n- Scale\n - how does distance translate into meaning?\n- Context\n - in relation to what?\n- Faceting / small multiples\n\n## {background-image=\"https://s-media-cache-ak0.pinimg.com/originals/c2/46/92/c24692fd95dbfb89f772613a316a5405.png\" background-size=\"contain\"}\n\n## {background-image=\"https://i.pinimg.com/736x/90/8f/12/908f129be5844828110233b84056d9f2--data-visualization-points.jpg\" background-size=\"contain\"}\n\n## {background-image=\"https://i.pinimg.com/736x/86/a4/93/86a49342761ca36aeca5f8ee03c64867--data-visualization-points.jpg\" background-size=\"contain\"}\n\n## {background-image=\"https://i.pinimg.com/736x/62/c6/ee/62c6ee636c47dccad00e7e56c268c3bf--data-visualization-points.jpg\" background-size=\"contain\"}\n\n## {background-image=\"https://i.pinimg.com/736x/16/06/da/1606dafa2bccb6a99d74b19844b0db60--data-visualization-points.jpg\" background-size=\"contain\"}\n\n## Big idea\n\nMapping variables to visual cues\n\n![](https://raw.githubusercontent.com/tidyverse/ggplot2/master/man/figures/logo.png){fig-align=\"left\"}\n\n## {background-image=\"https://s-media-cache-ak0.pinimg.com/originals/6d/09/3a/6d093a70e7d772a5e90178b8d609462e.png\" background-size=\"contain\"}\n\n## Do's and don'ts\n\n- **Do**: mind the perceptual heirarchy\n\n - **Don't** use color when length will suffice\n - **Don't** use pie charts!\n\n- **Don't** use redundant mappings unless you have a reason\n\n- **Do** use context!\n\n- **Do** match data dimensions to visual dimensions\n\n - **Don't** map area to a 1D quantity\n\n## Read more about this!\n\n::: {layout-ncol=\"2\"}\n![](https://images-na.ssl-images-amazon.com/images/I/41IXJO4Mk6L.jpg){fig-align=\"left\"}\n\n![](https://images-na.ssl-images-amazon.com/images/I/51lfTMyZ8GL._SX399_BO1,204,203,200_.jpg){fig-align=\"right\"}\n:::\n\n## Tufte's mantra\n\n![](https://image.slidesharecdn.com/presentingviztoclients1-150120165529-conversion-gate02/95/presenting-data-visualizations-to-clients-34-638.jpg?cb=1421773366){fig-align=\"center\"}\n", - "supporting": [], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": { - "include-after-body": [ - "\n\n\n" - ] - }, - "engineDependencies": {}, - "preserve": {}, - "postProcess": true - } -} \ No newline at end of file diff --git a/_freeze/course-materials/syllabus/Schwab's syllabus pdf/execute-results/tex.json b/_freeze/course-materials/syllabus/Schwab's syllabus pdf/execute-results/tex.json deleted file mode 100644 index 1b68b60..0000000 --- a/_freeze/course-materials/syllabus/Schwab's syllabus pdf/execute-results/tex.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "hash": "1ead3cf7d4e568c266518128be1ddde5", - "result": { - "markdown": "---\ntitle: \"schwabs_syllabus_pdf\"\nauthor: \"Nic Schwab\"\nformat: pdf\n---\n\n---\ntitle: \"Syllabus\"\noutput: pdf_document\n\nformat:\n html:\n toc: true\n toc-depth: 2\n toc-float: true\n toc-location: left\n toc-title: \"Class Days\"\n df-print: kable\n\nexecute:\n freeze: auto # re-render only when source changes \n---\n\n\n\n```{=html}\n\n```\n\n```{=html}\n\n```\n\n# Basic information {#basicinfo}\n\n- **Course title:** MTH 190: Introduction to Data Science\n- **Instructor:** \\[Nicholas Schwab (he/him)\\] - Assistant Professor of Mathematics. Please call me \"Schwab\" or \"Professor Schwab\"\n- **Office location:** Frost 362\n- **Email:** nschwab\\@hcc.edu\n- **Meeting locations/times:**\n - MF: 11:00 AM - 12:15 PM / Kittredge Center 420\n- **Getting help**:\n - For non personal/sensitive questions, ask on the `#questions` channel on Slack. For personal/sensitive matters, Slack DM Professor Schwab.\n - Prof. Schwab's hours:\n - MF 10:00am - 10:50\n\n - W 1:00 - 1:50pm\n\n - W 4:00 - 5:00pm by appointment only.\n\n - FR 362 or [set up a zoom appointment.](https://calendar.google.com/calendar/u/0/selfsched?sstoken=UU10THFMNFV0NEJafGRlZmF1bHR8MzA4NTk0ZDE0OThjM2E4ZmU4ZjljYTU2NGYwZDJiMzk)\n - AJ's office hours\n - Office hours: MW 7-9pm\n - See the slack chanel for AJ's zoom link\n\n## Instructor work-life balance {#work-life-balance}\n\n- I will respond to Slack messages sent during the week within 24h. I will respond to Slack messages sent during the weekend at my own discretion.\n- If possible, please only Slack me with briefer and administrative questions; I prefer having more substantive conversations in person as it takes me less energy to understand where you are at.\n- I will do my best to return all grading as promptly as possible.\n\n------------------------------------------------------------------------\n\n# How can I succeed in this class?\n\nAsk yourself:\n\n- **When I have questions or don't understand something:**\n - *\"Am I asking questions in class?\"*\n - *\"Am I asking questions on Slack in the `#questions` channel?\"* Even better: *\"Am I answering my peers' questions on Slack?\"*\n - *\"Having I been going to the Spinelli tutoring center for help on R and the tidyverse?\"*\n - *\"Have I been coming to office hours?\"*\n- **Lectures and readings:**\n - *\"Am I staying on top Slack notifications sent between lectures?\"* If you need help developing a notification strategy that best suits your lifestyle, please speak to me.\n - *\"Am I attending lectures consistently?\"*\n - *\"During in-class activities, am I actually running code line-by-line and studying the outputs, or am I just going through the motions?\"*\n - *\"During in-class exercises, am I taking full advantage that I'm in the same place at the same time with the instructor, the lab assistants, and most importantly your peers, or am I browsing the web/texting the whole time?\"*\n - *\"Have I been doing the associated readings for each lecture?\"*\n\n------------------------------------------------------------------------\n\n# Course Description & Objectives\n\nThe world is awash with raw data, and students will benefit in the job market from learning to properly analyze it. The purpose of this course is to introduce students to the concepts of data science early in their college education. In this course, students will learn to code in R or Python, popular programming languages commonly used in Data Science. This course can also be seen as an introduction to programming languages and coding. It is designed to be accessible to students from a wide range of backgrounds and interests, including those without advanced mathematics or computer programming experience.\n\nPrerequisite(s): MTH 085 or MTH 099 or MTH 011/MTH 012 with a grade of C- or better; or SM08, or adequate score on the Mathematics Placement Examination.  No computer language experience necessary but student must have a willingness to learn to code.\n\n**3 Class Hours 3 Credits**\n\n------------------------------------------------------------------------\n\n# BASIC OUTLINE OF COURSE CONTENT:\n\n- Introduction to Programming Language for Data Science (R or Python) and Computing Environment (RStudio, Jupyter Notebook, etc.)\n\n- Data Science Life Cycle \n\n- Grammar of Graphics\n\n- Data Visualization\n\n- Data Wrangling\n\n- Data Collection\n\n- Web Scraping and Importing Data\n\n- Data Management\n\n- Data Ethics\n\n- Introduction to Database Querying with SQL\n\n- Further Topics based on time and student interest may include:\n\n - Iteration\n\n - Dynamic and Customized Data Graphics\n\n - Geospatial Data and Maps\n\n - Text Mining\n\n - Introduction to Machine Learning (to motivate interest in an Intro to Data Science 2 course that would be devoted to this.)\n\n# Student Learning outcomes\n\nStudents who complete this course will be able to: \n\n- Develop skills in using modern technology to conduct data analysis.\n\n- Draw meaningful conclusions and insights from real world data. \n\n- Understand data collection from various sources and appropriate data management. \n\n- Effectively organize, clean, prepare data for analysis\n\n- Communicate clear, meaningful data visualizations.\n\n- Develop understanding and appreciation of ethics in Data Science.\n\n# Lecture schedule\n\nThe lecture schedule and associated readings can be found on the [main page](https://nics-github.github.io/MTH_190_Intro_to_DS/) of this course webpage.\n\n# Book and software\n\nThe Modern Data Science with R **textbook** is accessible on the navigational bar of this webpage as well as via [this link](https://mdsr-book.github.io/mdsr2e/). Students will use the HCC RStudio workbench to do computations in R find it [here](http://hcc-rstudiosrv1.hcc.edu:8787/s/93126cfc78a31806f480a/auth-sign-in?appUri=%2F).\n\n# Class norms {#policies}\n\n- You are expected to stay until the end of lecture. If you need to leave early, please confirm with me at the beginning of lecture and sit somewhere where your departure will be minimally disruptive.\n- *Attendance policy.* You may be dropped from the course for missing 3 or more days of class.\n- Attendance will not be explicitly taken and occasional absences are excused. However, extended absences should be mentioned to me.\n\n------------------------------------------------------------------------\n\n# Readings\n\nWe'll be reading chapters 1-6,8,15,and 17 of Modern Data Science with R.\n\n# Evaluation\n\nAll due dates can be found on the [main page](https://nics-github.github.io/MTH_190_Intro_to_DS/) of this course webpage.\n\nThis class is project based. As such your evaluations will be based on projects you create.\n\n## Projects 40%\n\nThere are four projects to complete during the semester.\n\n## Final project 20%\n\nThere will be a final project due the last day of classes. You'll do this final project in groups of 2-3 where you can choose your groupmates.\n\n## Problem sets 25%\n\nHomework will be assigned weekly, its important to complete and stay on top of homework.\n\n## Engagment 15% {#engagement}\n\nIt is difficult to explicit codify what constitutes \"an engaged student,\" so instead I present the following rough principle I will follow: *you'll only get out of this class as much as you put in*. That being said, here are multiple pathways for you to stay engaged in this class:\n\n- In particular: Peer evaluations for all projects.\n- Asking and answering questions in class.\n- Working and staying focused in class.\n- Coming to office hours.\n- Posting questions on Slack.\n- Even better: Responding to questions on Slack.\n\n## Tentative Assignment schedule\n\nHomework will be assigned weekly and due by midnight the following Monday.\n\nProject 1- due after reading chapter 4 of MDSR roughly the 10th day of class\n\nProject 2- due after reading chapter 5 of MDSR roughly the 18th day of class\n\nProject 3- due after reading chapter 15 of MDSR roughly the 22nd day of class\n\nProject 4- due after reading chapter 17 of MDSR roughly the 26th day of class\n\nFinal Project/ Presentation will take place during our final time.\n\nFor a more up to date schedule see the course's [website](https://nics-github.github.io/MTH_190_Intro_to_DS/).\n\n## Policies\n\n1. **Collaboration**: While I encourage you to work with your peers for problem sets, you must submit your own answers and not simple rewordings of another's work. Furthermore, all collaborations must be explicitly acknowledged in your submissions.\n\n*ACCESSIBILITY ACCOMMODATIONS*:\n\nHolyoke Community College values inclusion and equal access to its programs and activities and is committed to fostering an environment of mutual respect and full participation. Our goal is to create learning environments that are equitable, inclusive and welcoming. If you are an individual with a disability and require reasonable academic accommodations you are advised to contact the Office of Disability Services (ODS) at any time to discuss your accommodation needs and options. The ODS will work collaboratively with students with disabilities to develop effective accommodation plans for implementation in the classroom. The ODS is located in DON 147. For an appointment, please call 413-552- 2417. The Video Phone (VP) number is 413-650- 5502.\n", - "supporting": [], - "filters": [ - "rmarkdown/pagebreak.lua" - ], - "includes": {}, - "engineDependencies": {}, - "preserve": null, - "postProcess": false - } -} \ No newline at end of file diff --git a/_freeze/course-materials/syllabus/syllabus/execute-results/html.json b/_freeze/course-materials/syllabus/syllabus/execute-results/html.json index e76a9fe..b0215e8 100644 --- a/_freeze/course-materials/syllabus/syllabus/execute-results/html.json +++ b/_freeze/course-materials/syllabus/syllabus/execute-results/html.json @@ -1,7 +1,7 @@ { - "hash": "67bc72f20ebbf53b1240e84f0fc991c8", + "hash": "124189a41a64e06b6cc474cbe35f4b74", "result": { - "markdown": "---\ntitle: \"Syllabus\"\noutput: pdf_document\n\nformat:\n html:\n toc: true\n toc-depth: 2\n toc-float: true\n toc-location: left\n toc-title: \"Class Days\"\n df-print: kable\n\nexecute:\n freeze: auto # re-render only when source changes \n---\n\n\n\n```{=html}\n\n```\n\n```{=html}\n\n```\n\n# Basic information {#basicinfo}\n\n- **Course title:** MTH 190: Introduction to Data Science\n- **Instructor:** \\[Nicholas Schwab (he/him)\\] - Assistant Professor of Mathematics. Please call me \"Schwab\" or \"Professor Schwab\"\n- **Office location:** Frost 362\n- **Email:** nschwab\\@hcc.edu\n- **Meeting locations/times:**\n - MF: 11:00 AM - 12:15 PM / Kittredge Center 420\n- **Getting help**:\n - For non personal/sensitive questions, ask on the `#questions` channel on Slack. For personal/sensitive matters, Slack DM Professor Schwab.\n - Prof. Schwab's hours:\n - MF 10:00am - 10:50\n\n - W 1:00 - 1:50pm\n\n - W 4:00 - 5:00pm by appointment only.\n\n - FR 362 or [set up a zoom appointment.](https://calendar.google.com/calendar/u/0/selfsched?sstoken=UU10THFMNFV0NEJafGRlZmF1bHR8MzA4NTk0ZDE0OThjM2E4ZmU4ZjljYTU2NGYwZDJiMzk)\n - AJ's office hours\n - Office hours: MW 7-9pm\n - See the slack chanel for AJ's zoom link\n\n## Instructor work-life balance {#work-life-balance}\n\n- I will respond to Slack messages sent during the week within 24h. I will respond to Slack messages sent during the weekend at my own discretion.\n- If possible, please only Slack me with briefer and administrative questions; I prefer having more substantive conversations in person as it takes me less energy to understand where you are at.\n- I will do my best to return all grading as promptly as possible.\n\n------------------------------------------------------------------------\n\n# How can I succeed in this class?\n\nAsk yourself:\n\n- **When I have questions or don't understand something:**\n - *\"Am I asking questions in class?\"*\n - *\"Am I asking questions on Slack in the `#questions` channel?\"* Even better: *\"Am I answering my peers' questions on Slack?\"*\n - *\"Having I been going to the Spinelli tutoring center for help on R and the tidyverse?\"*\n - *\"Have I been coming to office hours?\"*\n- **Lectures and readings:**\n - *\"Am I staying on top Slack notifications sent between lectures?\"* If you need help developing a notification strategy that best suits your lifestyle, please speak to me.\n - *\"Am I attending lectures consistently?\"*\n - *\"During in-class activities, am I actually running code line-by-line and studying the outputs, or am I just going through the motions?\"*\n - *\"During in-class exercises, am I taking full advantage that I'm in the same place at the same time with the instructor, the lab assistants, and most importantly your peers, or am I browsing the web/texting the whole time?\"*\n - *\"Have I been doing the associated readings for each lecture?\"*\n\n------------------------------------------------------------------------\n\n# Course Description & Objectives\n\nThe world is awash with raw data, and students will benefit in the job market from learning to properly analyze it. The purpose of this course is to introduce students to the concepts of data science early in their college education. In this course, students will learn to code in R or Python, popular programming languages commonly used in Data Science. This course can also be seen as an introduction to programming languages and coding. It is designed to be accessible to students from a wide range of backgrounds and interests, including those without advanced mathematics or computer programming experience.\n\nPrerequisite(s): MTH 085 or MTH 099 or MTH 011/MTH 012 with a grade of C- or better; or SM08, or adequate score on the Mathematics Placement Examination.  No computer language experience necessary but student must have a willingness to learn to code.\n\n**3 Class Hours 3 Credits**\n\n------------------------------------------------------------------------\n\n# BASIC OUTLINE OF COURSE CONTENT:\n\n- Introduction to Programming Language for Data Science (R or Python) and Computing Environment (RStudio, Jupyter Notebook, etc.)\n\n- Data Science Life Cycle \n\n- Grammar of Graphics\n\n- Data Visualization\n\n- Data Wrangling\n\n- Data Collection\n\n- Web Scraping and Importing Data\n\n- Data Management\n\n- Data Ethics\n\n- Introduction to Database Querying with SQL\n\n- Further Topics based on time and student interest may include:\n\n - Iteration\n\n - Dynamic and Customized Data Graphics\n\n - Geospatial Data and Maps\n\n - Text Mining\n\n - Introduction to Machine Learning (to motivate interest in an Intro to Data Science 2 course that would be devoted to this.)\n\n# Student Learning outcomes\n\nStudents who complete this course will be able to: \n\n- Develop skills in using modern technology to conduct data analysis.\n\n- Draw meaningful conclusions and insights from real world data. \n\n- Understand data collection from various sources and appropriate data management. \n\n- Effectively organize, clean, prepare data for analysis\n\n- Communicate clear, meaningful data visualizations.\n\n- Develop understanding and appreciation of ethics in Data Science.\n\n# Lecture schedule\n\nThe lecture schedule and associated readings can be found on the [main page](https://nics-github.github.io/MTH_190_Intro_to_DS/) of this course webpage.\n\n# Book and software\n\nThe Modern Data Science with R **textbook** is accessible on the navigational bar of this webpage as well as via [this link](https://mdsr-book.github.io/mdsr2e/). Students will use the HCC RStudio workbench to do computations in R find it [here](http://hcc-rstudiosrv1.hcc.edu:8787/s/93126cfc78a31806f480a/auth-sign-in?appUri=%2F).\n\n# Class norms {#policies}\n\n- You are expected to stay until the end of lecture. If you need to leave early, please confirm with me at the beginning of lecture and sit somewhere where your departure will be minimally disruptive.\n- *Attendance policy.* You may be dropped from the course for missing 3 or more days of class.\n- Attendance will not be explicitly taken and occasional absences are excused. However, extended absences should be mentioned to me.\n\n------------------------------------------------------------------------\n# Readings\n\nWe'll be reading chapters 1-6,8,15,and 17 of Modern Data Science with R. \n\n# Evaluation\n\nAll due dates can be found on the [main page](https://nics-github.github.io/MTH_190_Intro_to_DS/) of this course webpage.\n\nThis class is project based. As such your evaluations will be based on projects you create.\n\n## Projects 40%\n\nThere are four projects to complete during the semester.\n\n## Final project 20%\n\nThere will be a final project due the last day of classes. You'll do this final project in groups of 2-3 where you can choose your groupmates.\n\n## Problem sets 25%\n\nHomework will be assigned weekly, its important to complete and stay on top of homework.\n\n## Engagment 15% {#engagement}\n\nIt is difficult to explicit codify what constitutes \"an engaged student,\" so instead I present the following rough principle I will follow: *you'll only get out of this class as much as you put in*. That being said, here are multiple pathways for you to stay engaged in this class:\n\n- In particular: Peer evaluations for all projects.\n- Asking and answering questions in class.\n- Working and staying focused in class.\n- Coming to office hours.\n- Posting questions on Slack.\n- Even better: Responding to questions on Slack.\n\n## Tentative Assignment schedule\n\nHomework Will be assigned weekly and due by midnight the following Monday.\n\nProject 1- due after reading chapter 4 of MDSR roughly the 10th day of class\n\nProject 2- due after reading chapter 5 of MDSR roughly the 18th day of class\n\nProject 3- due after reading chapter 15 of MDSR roughly the 22nd day of class\n\nProject 4- due after reading chapter 17 of MDSR roughly the 26th day of class\n\nFinal Project/ Presentation during our final time.\n\nFor a more up to date schedule see the course's [website](https://nics-github.github.io/MTH_190_Intro_to_DS/).\n\n## Policies\n\n1. **Collaboration**: While I encourage you to work with your peers for problem sets, you must submit your own answers and not simple rewordings of another's work. Furthermore, all collaborations must be explicitly acknowledged in your submissions.\n\n*ACCESSIBILITY ACCOMMODATIONS*:\n\nHolyoke Community College values inclusion and equal access to its programs and activities and is committed to fostering an environment of mutual respect and full participation. Our goal is to create learning environments that are equitable, inclusive and welcoming. If you are an individual with a disability and require reasonable academic accommodations you are advised to contact the Office of Disability Services (ODS) at any time to discuss your accommodation needs and options. The ODS will work collaboratively with students with disabilities to develop effective accommodation plans for implementation in the classroom. The ODS is located in DON 147. For an appointment, please call 413-552- 2417. The Video Phone (VP) number is 413-650- 5502.\n", + "markdown": "---\ntitle: \"Syllabus\"\noutput: pdf_document\n\nformat:\n html:\n toc: true\n toc-depth: 2\n toc-float: true\n toc-location: left\n toc-title: \"Class Days\"\n df-print: kable\n \nexecute:\n freeze: auto # re-render only when source changes \n---\n\n\n\n```{=html}\n\n```\n\n```{=html}\n\n```\n\n# Basic information {#basicinfo}\n\n- **Course title:** SDS 192: Introduction to Data Science\n\n- **Contact Info:** \n ``{=html} [nschwab@smith.edu](mailto:nschwab@smith.edu) \n ``{=html} 413-585-3440 \n ``{=html} [Nics-Github](http://www.github.com/Nics-Github)\n ``{=html} [nschwab](https://smith.zoom.us/j/8227449694 ) \n\n- **Office location:** McConnell 213\n\n- **Email:** nschwab\\@smith.edu\n\n- **Meeting locations/times:**\n\nMorning Section\n\n``` \n- MWF: 10:50 AM - 11:05 PM / Sabin-Reed 220\n\nAfternoon Section\n\n- M: 1:40 AM - 11:55 / Sabin- Reed 301 WF: 1:20 AM - 12:35 / Sabin- Reed 301\n```\n\n- **Getting help**:\n\n - For non personal/sensitive questions, ask on the `#questions` channel on Slack. For personal/sensitive matters, Slack DM Professor Schwab.\n\n - Prof. Schwab's student question hours:\n\n - W 12:15 - 1:15 pm\n\n - F 12:15 - 1:15 pm\n\n - Request a zoom appointment.\n\n - [Spinelli Center](https://www.smith.edu/academics/spinelli-center/tutoring)\n\n## Instructor work-life balance {#work-life-balance}\n\n- I will respond to Slack messages sent during the week within 24h. I will respond to Slack messages sent during the weekend at my own discretion.\n- If possible, please only Slack me with briefer and administrative questions; I prefer having more substantive conversations in person as it takes me less energy to understand where you are at.\n- I will do my best to return all grading as promptly as possible.\n\n------------------------------------------------------------------------\n\n# How can I succeed in this class?\n\nAsk yourself:\n\n- **When I have questions or don't understand something:**\n - *\"Am I asking questions in class?\"*\n - *\"Am I asking questions on Slack in the `#questions` channel?\"* Even better: *\"Am I answering my peers' questions on Slack?\"*\n - *\"Having I been going to the Spinelli tutoring center for help on R and the tidyverse?\"*\n - *\"Have I been coming to office hours?\"*\n- **Lectures and readings:**\n - *\"Am I staying on top Slack notifications sent between lectures?\"* If you need help developing a notification strategy that best suits your lifestyle, please speak to me.\n - *\"Am I attending lectures consistently?\"*\n - *\"During in-class activities, am I actually running code line-by-line and studying the outputs, or am I just going through the motions?\"*\n - *\"During in-class exercises, am I taking full advantage that I'm in the same place at the same time with the instructor, the lab assistants, and most importantly your peers, or am I browsing the web/texting the whole time?\"*\n - *\"Have I been doing the associated readings for each lecture?\"*\n\n------------------------------------------------------------------------\n\n# Course Description & Objectives\n\nAn introduction to data science using Python, R and SQL. Students learn how to scrape, process and clean data from the web; manipulate data in a variety of formats; contextualize variation in data; construct point and interval estimates using resampling techniques; visualize multidimensional data; design accurate, clear and appropriate data graphics; create data maps and perform basic spatial analysis; and query large relational databases. SDS 100 is required for students who have not previously completed SDS 201, SDS 220, SDS 290 or SDS 291.\n\n**4 Class Hours 4 Credits**\n\n------------------------------------------------------------------------\n\n# BASIC OUTLINE OF COURSE CONTENT:\n\n- Introduction to Programming Language for Data Science (R or Python) and Computing Environment (RStudio, Jupyter Notebook, etc.)\n\n- Data Science Life Cycle\n\n- Grammar of Graphics\n\n- Data Visualization\n\n- Data Wrangling\n\n- Data Collection\n\n- Web Scraping and Importing Data\n\n- Data Management\n\n- Data Ethics\n\n- Iteration\n\n- Introduction to Database Querying with SQL\n\n- Further Topics based on time and student interest may include:\n\n - Dynamic and Customized Data Graphics\n\n - Geospatial Data and Maps\n\n - Learning with AI\n\n# Student Learning outcomes\n\nStudents who complete this course will be able to:\n\n- Develop skills in using modern technology to conduct data analysis.\n\n- Draw meaningful conclusions and insights from real world data.\n\n- Understand data collection from various sources and appropriate data management.\n\n- Effectively organize, clean, prepare data for analysis\n\n- Communicate clear, meaningful data visualizations.\n\n- Develop understanding and appreciation of ethics in Data Science.\n\n# Lecture schedule\n\nThe lecture schedule and associated readings can be found on the [main page](https://nics-github.github.io/MTH_190_Intro_to_DS/) of this course webpage.\n\n# Book and software\n\nThe Modern Data Science with R **textbook** is accessible on the navigational bar of this webpage as well as via [this link](https://mdsr-book.github.io/mdsr2e/). Students will use a local install or RStudio workbench to do computations in R find it [here](https://rstudio.smith.edu).\n\n# Class norms {#policies}\n\n- You are expected to stay until the end of lecture. If you need to leave early, please confirm with me at the beginning of lecture and sit somewhere where your departure will be minimally disruptive.\n- *Attendance policy.* You may be dropped from the course for missing 3 or more days of class.\n- Attendance will not be explicitly taken and occasional absences are excused. However, extended absences should be mentioned to me.\n\n------------------------------------------------------------------------\n\n# Readings\n\nWe'll be reading chapters 1-6,8,15,and 17 of Modern Data Science with R. Probably other texts.\n\n# Evaluation\n\nAll due dates can be found on the [main page](../index.html) of this course webpage.\n\nThis class is project based. As such your evaluations will be based on projects you create.\n\n## Projects 40%\n\nThere are four projects to complete during the semester. They will be completed collaboratively with a team of students using SCRUM.\n\n## Final project 20%\n\nThere will be a final project due the last day of classes. You'll complete this final project over the course of the semester using a process called SCRUM. The Final Project will also have in groups of 2-3 where you can choose your groupmates.\n\n## Problem sets 25%\n\nHomework will be assigned regularly, its important to complete and stay on top of the problem sets. They will be graded on the following scale:\n\n- 5 points: Assignment is complete, mostly correct, rendered and submitted\n\n- 4 points: Assignment is nearly complete, mostly correct, rendered and submitted\n\n- 3 points: Assignment is around 50% of the problems have been completed, are correct, the assignment is rendered\n\n- 2 points: Assignment is at most 50% complete, the problems are incorrect and is not correctly rendered\n\n- 1 point : Assignment is largely unfinished and is not rendered\n\n- 0 points: No assignment is turned in.\n\n## Engagement 15% {#engagement}\n\nIt is difficult to explicit codify what constitutes \"an engaged student,\" so instead I present the following rough principle I will follow: *you'll only get out of this class as much as you put in*. That being said, here are multiple pathways for you to stay engaged in this class:\n\n- In particular: Participation in all SCRUM Sprints\n- Asking and answering questions in class.\n- Working and staying focused in class.\n- Coming to office hours.\n- Posting questions on Slack.\n- Even better: Responding to questions on Slack.\n\n## Tentative Assignment schedule\n\nHomework will be assigned regularly and due by midnight the following Monday.\n\nProject 1- due after reading chapter 4 of MDSR roughly the 10th day of class\n\nProject 2- due after reading chapter 5 of MDSR roughly the 18th day of class\n\nProject 3- due after reading chapter 15 of MDSR roughly the 22nd day of class\n\nProject 4- due after reading chapter 17 of MDSR roughly the 26th day of class\n\nFinal Project/ Presentation during our final time.\n\nFor a more up to date schedule see the course's [website](../index.html).\n\n## Policies\n\n### Accommodation\n\nSmith is committed to providing support services and reasonable accommodations to all students with disabilities.\nTo request an accommodation, please register with the Disability Services Office at the beginning of the semester.\nTo do so, call (413) 585-2071 to arrange an appointment with Laura Rauscher, Director of [Disability Services](https://www.smith.edu/about-smith/disability-services).\n\n## Policies {#policies .unnumbered}\n\n### Inclusion\n\n::: {.callout-tip}\n### Inclusion policy\nWe are committed to fostering a classroom environment where all students thrive.\nWe are committed to affirming the identities, realities and voices of all students, especially those from historically marginalized or underrepresented backgrounds.\nWe are dedicated to creating a space where everyone in the class is respected, is free from discrimination based on race, ethnicity, sexual orientation, religion, gender identity, disability status, and other identities, and feel welcome and ready to learn at your highest potential.\n\nIf you have any concerns or suggestions for how to make this class more inclusive, please reach out to your instructor.\n\n**We are here to support your learning and growth as data scientists and people!**\n:::\n\n### Attendance\n\nWe expect you attend class in person. \nIf you choose to come to class, we expect your full attention. \nPlease put your phone away during class unless otherwise directed. \n\nIn keeping with Smith’s core identity and mission as an in-person, residential college, SDS affirms College policy (as per the Provost and Dean of the College) that students will attend class in person. \nSDS courses will not provide options for remote attendance. \nStudents who have been determined to require a remote attendance accommodation by the Office of Disability Services will be the only exceptions to this policy. \nAs with any other kind of ADA accommodations, please notify your instructor during the first week of classes to discuss how we can meet your accommodations. \n\nIf you are unable to attend class for any reason, please follow the materials on the course website and check with another student about what happened in class. \n\n### Collaboration\n\n::: {.callout-warning}\nMuch of this course will operate on a collaborative basis, and you are expected and encouraged to work together with a partner or in small groups to study, complete labs, and prepare for exams.\nHowever, **all work that you submit for credit must be your own**.\nCopying and pasting sentences, paragraphs, or *blocks of code* from another student or from online sources is not acceptable and will receive no credit.\nNo interaction with anyone but the instructors is allowed on any exams or quizzes.\n:::\n\n### Academic Honor Code Statement\n\nAll students, staff and faculty are bound by the Smith College Honor Code, which Smith has had since 1944.\n\n> Smith College expects all students to be honest and committed to the principles of academic and intellectual integrity in their preparation and submission of course work and examinations.\n> Students and faculty at Smith are part of an academic community defined by its commitment to scholarship, which depends on scrupulous and attentive acknowledgement of all sources of information, and honest and respectful use of college resources.\n\nCases of dishonesty, plagiarism, etc., will be reported to the Academic Honor Board.\n\n### Code of Conduct {#conduct}\n\nAs the instructor and assistants for this course, we are committed to making participation in this course a harassment-free experience for everyone, regardless of level of experience, gender, gender identity and expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, or religion.\nExamples of unacceptable behavior by participants in this course include the use of sexual language or imagery, derogatory comments or personal attacks, deliberate misgendering or use of \"dead\" names, trolling, public or private harassment, insults, or other unprofessional conduct.\n\nAs the instructor and assistants we have the right and responsibility to point out and stop behavior that is not aligned to [this Code of Conduct](syllabus.qmd#conduct).\nParticipants who do not follow the Code of Conduct may be reprimanded for such behavior.\nInstances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the instructor.\n\n::: {.callout-important}\nAll students, the instructor, the lab instructor, and all assistants are expected to adhere to this Code of Conduct in all settings for this course: lectures, labs, office hours, tutoring hours, and over Slack.\n:::\n\nThis Code of Conduct is adapted from the [Contributor Covenant](http://contributor-covenant.org/), version 1.0.0, available [here](http://contributor-covenant.org/version/1/0/0/).\n\n## Resources {#resources .unnumbered}\n\n### Moodle and course website\n\nThe [course website](index.qmd) and Moodle will be updated regularly with lecture handouts, project information, assignments, and other course resources.\nGrades will be recorded on Moodle.\nPlease check both regularly.\n\n### Communication\n\n- ``{=html} [Slack]() is the primary mechanism for course-related discussions of all kinds. *Please do not email the course instructor with course-related questions!* Instead, post these on `#questions` on Slack. If discretion is absolutely necessary, private message the instructor on Slack.\n\n### Writing\n\nYour ability to communicate results (which may be technical in nature) to your audience (which is likely to be non-technical) is critical to your success as a data analyst.\nThe assignments in this class will place an emphasis on the clarity of your writing.\n\n### Writing Enriched Curriculum\n\nThis course is part of Smith College's [Writing Enriched Curriculum](https://www.smith.edu/academics/jacobson-center/writing-enriched-curriculum). \nAs such, the course supports the [Writing Plan of the Program in Statistical & Data Sciences](https://www.smith.edu/sites/default/files/media/Documents/Jacobson-Center/SDS-WritingPlan-accessible.pdf). \n\nPlease read the [SDS Writing Plan](https://www.smith.edu/sites/default/files/media/Documents/Jacobson-Center/SDS-WritingPlan-accessible.pdf) for more information. \n\n### The Spinelli Center\n\nThe [Spinelli Center](https://www.smith.edu/qlc/index.html) (now in Seelye 207) supports students doing quantitative work across the curriculum.\nIn particular, they employ:\n\n- [SDS Tutors](https://www.smith.edu/qlc/tutoring.html?colStats=open#PanelStats) available from 7:00--9:00pm on Sunday--Thursday evenings in Burton 301. These students are trained to help you with your statistics and R questions.\n- A [Data Research and Statistics Counselor](https://www.smith.edu/qlc/tutoring.html?colDataCnslr=open#PanelDataCnslr ) (Osman Keshawarz) who keeps both [drop-in hours](http://www.smith.edu/qlc/tutoring.html#D1) and appointments. Students are welcome to email [qlctutor\\@smith.edu](mailto:qlctutor@smith.edu) to make an appointment.\n\nYour fellow students are also an excellent source for explanations, tips, etc.\n\n\n", "supporting": [], "filters": [ "rmarkdown/pagebreak.lua" diff --git a/_freeze/site_libs/Proj4Leaflet-1.0.1/proj4leaflet.js b/_freeze/site_libs/Proj4Leaflet-1.0.1/proj4leaflet.js deleted file mode 100644 index 5ce8d47..0000000 --- a/_freeze/site_libs/Proj4Leaflet-1.0.1/proj4leaflet.js +++ /dev/null @@ -1,272 +0,0 @@ -(function (factory) { - var L, proj4; - if (typeof define === 'function' && define.amd) { - // AMD - define(['leaflet', 'proj4'], factory); - } else if (typeof module === 'object' && typeof module.exports === "object") { - // Node/CommonJS - L = require('leaflet'); - proj4 = require('proj4'); - module.exports = factory(L, proj4); - } else { - // Browser globals - if (typeof window.L === 'undefined' || typeof window.proj4 === 'undefined') - throw 'Leaflet and proj4 must be loaded first'; - factory(window.L, window.proj4); - } -}(function (L, proj4) { - if (proj4.__esModule && proj4.default) { - // If proj4 was bundled as an ES6 module, unwrap it to get - // to the actual main proj4 object. - // See discussion in https://github.com/kartena/Proj4Leaflet/pull/147 - proj4 = proj4.default; - } - - L.Proj = {}; - - L.Proj._isProj4Obj = function(a) { - return (typeof a.inverse !== 'undefined' && - typeof a.forward !== 'undefined'); - }; - - L.Proj.Projection = L.Class.extend({ - initialize: function(code, def, bounds) { - var isP4 = L.Proj._isProj4Obj(code); - this._proj = isP4 ? code : this._projFromCodeDef(code, def); - this.bounds = isP4 ? def : bounds; - }, - - project: function (latlng) { - var point = this._proj.forward([latlng.lng, latlng.lat]); - return new L.Point(point[0], point[1]); - }, - - unproject: function (point, unbounded) { - var point2 = this._proj.inverse([point.x, point.y]); - return new L.LatLng(point2[1], point2[0], unbounded); - }, - - _projFromCodeDef: function(code, def) { - if (def) { - proj4.defs(code, def); - } else if (proj4.defs[code] === undefined) { - var urn = code.split(':'); - if (urn.length > 3) { - code = urn[urn.length - 3] + ':' + urn[urn.length - 1]; - } - if (proj4.defs[code] === undefined) { - throw 'No projection definition for code ' + code; - } - } - - return proj4(code); - } - }); - - L.Proj.CRS = L.Class.extend({ - includes: L.CRS, - - options: { - transformation: new L.Transformation(1, 0, -1, 0) - }, - - initialize: function(a, b, c) { - var code, - proj, - def, - options; - - if (L.Proj._isProj4Obj(a)) { - proj = a; - code = proj.srsCode; - options = b || {}; - - this.projection = new L.Proj.Projection(proj, options.bounds); - } else { - code = a; - def = b; - options = c || {}; - this.projection = new L.Proj.Projection(code, def, options.bounds); - } - - L.Util.setOptions(this, options); - this.code = code; - this.transformation = this.options.transformation; - - if (this.options.origin) { - this.transformation = - new L.Transformation(1, -this.options.origin[0], - -1, this.options.origin[1]); - } - - if (this.options.scales) { - this._scales = this.options.scales; - } else if (this.options.resolutions) { - this._scales = []; - for (var i = this.options.resolutions.length - 1; i >= 0; i--) { - if (this.options.resolutions[i]) { - this._scales[i] = 1 / this.options.resolutions[i]; - } - } - } - - this.infinite = !this.options.bounds; - - }, - - scale: function(zoom) { - var iZoom = Math.floor(zoom), - baseScale, - nextScale, - scaleDiff, - zDiff; - if (zoom === iZoom) { - return this._scales[zoom]; - } else { - // Non-integer zoom, interpolate - baseScale = this._scales[iZoom]; - nextScale = this._scales[iZoom + 1]; - scaleDiff = nextScale - baseScale; - zDiff = (zoom - iZoom); - return baseScale + scaleDiff * zDiff; - } - }, - - zoom: function(scale) { - // Find closest number in this._scales, down - var downScale = this._closestElement(this._scales, scale), - downZoom = this._scales.indexOf(downScale), - nextScale, - nextZoom, - scaleDiff; - // Check if scale is downScale => return array index - if (scale === downScale) { - return downZoom; - } - if (downScale === undefined) { - return -Infinity; - } - // Interpolate - nextZoom = downZoom + 1; - nextScale = this._scales[nextZoom]; - if (nextScale === undefined) { - return Infinity; - } - scaleDiff = nextScale - downScale; - return (scale - downScale) / scaleDiff + downZoom; - }, - - distance: L.CRS.Earth.distance, - - R: L.CRS.Earth.R, - - /* Get the closest lowest element in an array */ - _closestElement: function(array, element) { - var low; - for (var i = array.length; i--;) { - if (array[i] <= element && (low === undefined || low < array[i])) { - low = array[i]; - } - } - return low; - } - }); - - L.Proj.GeoJSON = L.GeoJSON.extend({ - initialize: function(geojson, options) { - this._callLevel = 0; - L.GeoJSON.prototype.initialize.call(this, geojson, options); - }, - - addData: function(geojson) { - var crs; - - if (geojson) { - if (geojson.crs && geojson.crs.type === 'name') { - crs = new L.Proj.CRS(geojson.crs.properties.name); - } else if (geojson.crs && geojson.crs.type) { - crs = new L.Proj.CRS(geojson.crs.type + ':' + geojson.crs.properties.code); - } - - if (crs !== undefined) { - this.options.coordsToLatLng = function(coords) { - var point = L.point(coords[0], coords[1]); - return crs.projection.unproject(point); - }; - } - } - - // Base class' addData might call us recursively, but - // CRS shouldn't be cleared in that case, since CRS applies - // to the whole GeoJSON, inluding sub-features. - this._callLevel++; - try { - L.GeoJSON.prototype.addData.call(this, geojson); - } finally { - this._callLevel--; - if (this._callLevel === 0) { - delete this.options.coordsToLatLng; - } - } - } - }); - - L.Proj.geoJson = function(geojson, options) { - return new L.Proj.GeoJSON(geojson, options); - }; - - L.Proj.ImageOverlay = L.ImageOverlay.extend({ - initialize: function (url, bounds, options) { - L.ImageOverlay.prototype.initialize.call(this, url, null, options); - this._projectedBounds = bounds; - }, - - // Danger ahead: Overriding internal methods in Leaflet. - // Decided to do this rather than making a copy of L.ImageOverlay - // and doing very tiny modifications to it. - // Future will tell if this was wise or not. - _animateZoom: function (event) { - var scale = this._map.getZoomScale(event.zoom); - var northWest = L.point(this._projectedBounds.min.x, this._projectedBounds.max.y); - var offset = this._projectedToNewLayerPoint(northWest, event.zoom, event.center); - - L.DomUtil.setTransform(this._image, offset, scale); - }, - - _reset: function () { - var zoom = this._map.getZoom(); - var pixelOrigin = this._map.getPixelOrigin(); - var bounds = L.bounds( - this._transform(this._projectedBounds.min, zoom)._subtract(pixelOrigin), - this._transform(this._projectedBounds.max, zoom)._subtract(pixelOrigin) - ); - var size = bounds.getSize(); - - L.DomUtil.setPosition(this._image, bounds.min); - this._image.style.width = size.x + 'px'; - this._image.style.height = size.y + 'px'; - }, - - _projectedToNewLayerPoint: function (point, zoom, center) { - var viewHalf = this._map.getSize()._divideBy(2); - var newTopLeft = this._map.project(center, zoom)._subtract(viewHalf)._round(); - var topLeft = newTopLeft.add(this._map._getMapPanePos()); - - return this._transform(point, zoom)._subtract(topLeft); - }, - - _transform: function (point, zoom) { - var crs = this._map.options.crs; - var transformation = crs.transformation; - var scale = crs.scale(zoom); - - return transformation.transform(point, scale); - } - }); - - L.Proj.imageOverlay = function (url, bounds, options) { - return new L.Proj.ImageOverlay(url, bounds, options); - }; - - return L.Proj; -})); diff --git a/docs/site_libs/datatables-binding-0.23/datatables.js b/_freeze/site_libs/datatables-binding-0.25/datatables.js similarity index 99% rename from docs/site_libs/datatables-binding-0.23/datatables.js rename to _freeze/site_libs/datatables-binding-0.25/datatables.js index 1ba9988..fcee8ce 100644 --- a/docs/site_libs/datatables-binding-0.23/datatables.js +++ b/_freeze/site_libs/datatables-binding-0.25/datatables.js @@ -166,7 +166,8 @@ HTMLWidgets.widget({ // in order that the type=number inputs return a number $.valHooks.number = { get: function(el) { - return el.value * 1; + var value = parseFloat(el.value); + return isNaN(value) ? "" : value; } }; $(el).html(' '); diff --git a/_freeze/site_libs/fontawesome-4.7.0/bootstrap-theme.min.css b/_freeze/site_libs/fontawesome-4.7.0/bootstrap-theme.min.css deleted file mode 100644 index 5e39401..0000000 --- a/_freeze/site_libs/fontawesome-4.7.0/bootstrap-theme.min.css +++ /dev/null @@ -1,6 +0,0 @@ -/*! - * Bootstrap v3.3.7 (http://getbootstrap.com) - * Copyright 2011-2016 Twitter, Inc. - * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) - */.btn-danger,.btn-default,.btn-info,.btn-primary,.btn-success,.btn-warning{text-shadow:0 -1px 0 rgba(0,0,0,.2);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.15),0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 0 rgba(255,255,255,.15),0 1px 1px 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diff --git a/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.css b/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.css deleted file mode 100644 index 363e239..0000000 --- a/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.css +++ /dev/null @@ -1,128 +0,0 @@ -/* -Author: L. Voogdt -License: MIT -Version: 1.0 -*/ - -/* Marker setup */ -.awesome-marker { - background: url('images/markers-soft.png') no-repeat 0 0; - width: 35px; - height: 46px; - position:absolute; - left:0; - top:0; - display: block; - text-align: center; -} - -.awesome-marker-shadow { - background: url('images/markers-shadow.png') no-repeat 0 0; - width: 36px; - height: 16px; -} - -/* Retina displays */ -@media (min--moz-device-pixel-ratio: 1.5),(-o-min-device-pixel-ratio: 3/2), -(-webkit-min-device-pixel-ratio: 1.5),(min-device-pixel-ratio: 1.5),(min-resolution: 1.5dppx) { - .awesome-marker { - background-image: url('images/markers-soft@2x.png'); - background-size: 720px 92px; - } - .awesome-marker-shadow { - background-image: url('images/markers-shadow@2x.png'); - background-size: 35px 16px; - } -} - -.awesome-marker i { - color: #333; - margin-top: 10px; - display: inline-block; - font-size: 14px; -} - -.awesome-marker .icon-white { - color: #fff; -} - -/* Colors */ -.awesome-marker-icon-red { - background-position: 0 0; -} - -.awesome-marker-icon-darkred { - background-position: -180px 0; -} - -.awesome-marker-icon-lightred { - background-position: -360px 0; -} - -.awesome-marker-icon-orange { - background-position: -36px 0; -} - -.awesome-marker-icon-beige { - background-position: -396px 0; -} - -.awesome-marker-icon-green { - background-position: -72px 0; -} - -.awesome-marker-icon-darkgreen { - background-position: -252px 0; -} - -.awesome-marker-icon-lightgreen { - background-position: -432px 0; -} - -.awesome-marker-icon-blue { - background-position: -108px 0; -} - -.awesome-marker-icon-darkblue { - background-position: -216px 0; -} - -.awesome-marker-icon-lightblue { - background-position: -468px 0; -} - -.awesome-marker-icon-purple { - background-position: -144px 0; -} - -.awesome-marker-icon-darkpurple { - background-position: -288px 0; -} - -.awesome-marker-icon-pink { - background-position: -504px 0; -} - -.awesome-marker-icon-cadetblue { - background-position: -324px 0; -} - -.awesome-marker-icon-white { - background-position: -576px 0; -} - -.awesome-marker-icon-gray { - background-position: -648px 0; -} - -.awesome-marker-icon-lightgray { - background-position: -612px 0; -} - -.awesome-marker-icon-black { - background-position: -682px 0; -} - -.awesome-marker-square { - background-position-y: -46px; -} diff --git a/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.js b/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.js deleted file mode 100644 index 0b5f483..0000000 --- a/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.js +++ /dev/null @@ -1,146 +0,0 @@ -/* - Leaflet.AwesomeMarkers, a plugin that adds colorful iconic markers for Leaflet, based on the Font Awesome icons - (c) 2012-2013, Lennard Voogdt - - https://leafletjs.com - https://github.com/lvoogdt - */ - -/*global L*/ - -(function (window, document, undefined) { - "use strict"; - /* - * Leaflet.AwesomeMarkers assumes that you have already included the Leaflet library. - */ - - L.AwesomeMarkers = {}; - - L.AwesomeMarkers.version = '2.0.1'; - - L.AwesomeMarkers.Icon = L.Icon.extend({ - options: { - iconSize: [35, 45], - iconAnchor: [17, 42], - popupAnchor: [1, -32], - shadowAnchor: [10, 12], - shadowSize: [36, 16], - className: 'awesome-marker', - prefix: 'glyphicon', - spinClass: 'fa-spin', - extraClasses: '', - icon: 'home', - markerColor: 'blue', - iconColor: 'white', - iconRotate: 0, - font: 'monospace' - }, - - initialize: function (options) { - options = L.Util.setOptions(this, options); - }, - - createIcon: function () { - var div = document.createElement('div'), - options = this.options; - - if (options.icon) { - div.innerHTML = this._createInner(); - } - - if (options.bgPos) { - div.style.backgroundPosition = - (-options.bgPos.x) + 'px ' + (-options.bgPos.y) + 'px'; - } - - this._setIconStyles(div, 'icon-' + options.markerColor); - return div; - }, - - _createInner: function() { - var iconClass, - iconSpinClass = "", - iconColorClass = "", - iconColorStyle = "", - options = this.options; - - if(!options.prefix || (options.icon.slice(0,options.prefix.length+1) === options.prefix + "-")) { - iconClass = options.icon; - } else { - iconClass = options.prefix + "-" + options.icon; - } - - if(options.spin && typeof options.spinClass === "string") { - iconSpinClass = options.spinClass; - } - - if(options.iconColor) { - if ((options.iconColor === 'white' || options.iconColor === 'black') && - options.prefix !== 'fa') { - iconColorClass = "icon-" + options.iconColor; - } else if (options.prefix === 'fa' && options.iconColor === 'white') { - iconColorClass = "fa-inverse"; - } else { - iconColorStyle = "color: " + options.iconColor + ";"; - } - } - if(options.font && options.text) { - iconColorStyle += "font-family: " + options.font + ";"; - } - - if(options.iconRotate && options.iconRotate !== 0) { - iconColorStyle += "-webkit-transform: rotate(" + options.iconRotate + "deg);"; - iconColorStyle += "-moz-transform: rotate(" + options.iconRotate + "deg);"; - iconColorStyle += "-o-transform: rotate(" + options.iconRotate + "deg);"; - iconColorStyle += "-ms-transform: rotate(" + options.iconRotate + "deg);"; - iconColorStyle += "transform: rotate(" + options.iconRotate + "deg);"; - } - - if (options.text) { - return "" + options.text + ""; - } - - return ""; - }, - - _setIconStyles: function (img, name) { - var options = this.options, - size = L.point(options[name === 'shadow' ? 'shadowSize' : 'iconSize']), - anchor; - - if (name === 'shadow') { - anchor = L.point(options.shadowAnchor || options.iconAnchor); - } else { - anchor = L.point(options.iconAnchor); - } - - if (!anchor && size) { - anchor = size.divideBy(2, true); - } - - img.className = 'awesome-marker-' + name + ' ' + options.className; - - if (anchor) { - img.style.marginLeft = (-anchor.x) + 'px'; - img.style.marginTop = (-anchor.y) + 'px'; - } - - if (size) { - img.style.width = size.x + 'px'; - img.style.height = size.y + 'px'; - } - }, - - createShadow: function () { - var div = document.createElement('div'); - - this._setIconStyles(div, 'shadow'); - return div; - } - }); - - L.AwesomeMarkers.icon = function (options) { - return new L.AwesomeMarkers.Icon(options); - }; - -}(this, document)); diff --git a/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.min.js b/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.min.js deleted file mode 100644 index 0aaf719..0000000 --- a/_freeze/site_libs/fontawesome-4.7.0/leaflet.awesome-markers.min.js +++ /dev/null @@ -1 +0,0 @@ -(function(window,document,undefined){"use strict";L.AwesomeMarkers={};L.AwesomeMarkers.version="2.0.1";L.AwesomeMarkers.Icon=L.Icon.extend({options:{iconSize:[35,45],iconAnchor:[17,42],popupAnchor:[1,-32],shadowAnchor:[10,12],shadowSize:[36,16],className:"awesome-marker",prefix:"glyphicon",spinClass:"fa-spin",extraClasses:"",icon:"home",markerColor:"blue",iconColor:"white",iconRotate:0,font:"monospace"},initialize:function(options){options=L.Util.setOptions(this,options)},createIcon:function(){var div=document.createElement("div"),options=this.options;if(options.icon){div.innerHTML=this._createInner()}if(options.bgPos){div.style.backgroundPosition=-options.bgPos.x+"px "+-options.bgPos.y+"px"}this._setIconStyles(div,"icon-"+options.markerColor);return div},_createInner:function(){var iconClass,iconSpinClass="",iconColorClass="",iconColorStyle="",options=this.options;if(!options.prefix||options.icon.slice(0,options.prefix.length+1)===options.prefix+"-"){iconClass=options.icon}else{iconClass=options.prefix+"-"+options.icon}if(options.spin&&typeof options.spinClass==="string"){iconSpinClass=options.spinClass}if(options.iconColor){if((options.iconColor==="white"||options.iconColor==="black")&&options.prefix!=="fa"){iconColorClass="icon-"+options.iconColor}else if(options.prefix==="fa"&&options.iconColor==="white"){iconColorClass="fa-inverse"}else{iconColorStyle="color: "+options.iconColor+";"}}if(options.font&&options.text){iconColorStyle+="font-family: "+options.font+";"}if(options.iconRotate&&options.iconRotate!==0){iconColorStyle+="-webkit-transform: rotate("+options.iconRotate+"deg);";iconColorStyle+="-moz-transform: rotate("+options.iconRotate+"deg);";iconColorStyle+="-o-transform: rotate("+options.iconRotate+"deg);";iconColorStyle+="-ms-transform: rotate("+options.iconRotate+"deg);";iconColorStyle+="transform: rotate("+options.iconRotate+"deg);"}if(options.text){return""+options.text+""}return""},_setIconStyles:function(img,name){var options=this.options,size=L.point(options[name==="shadow"?"shadowSize":"iconSize"]),anchor;if(name==="shadow"){anchor=L.point(options.shadowAnchor||options.iconAnchor)}else{anchor=L.point(options.iconAnchor)}if(!anchor&&size){anchor=size.divideBy(2,true)}img.className="awesome-marker-"+name+" "+options.className;if(anchor){img.style.marginLeft=-anchor.x+"px";img.style.marginTop=-anchor.y+"px"}if(size){img.style.width=size.x+"px";img.style.height=size.y+"px"}},createShadow:function(){var div=document.createElement("div");this._setIconStyles(div,"shadow");return div}});L.AwesomeMarkers.icon=function(options){return new L.AwesomeMarkers.Icon(options)}})(this,document); diff --git a/_freeze/site_libs/htmlwidgets-1.5.4/htmlwidgets.js b/_freeze/site_libs/htmlwidgets-1.6.2/htmlwidgets.js similarity index 96% rename from _freeze/site_libs/htmlwidgets-1.5.4/htmlwidgets.js rename to _freeze/site_libs/htmlwidgets-1.6.2/htmlwidgets.js index da8b236..1067d02 100644 --- a/_freeze/site_libs/htmlwidgets-1.5.4/htmlwidgets.js +++ b/_freeze/site_libs/htmlwidgets-1.6.2/htmlwidgets.js @@ -287,20 +287,18 @@ document.body.style.height = "100%"; document.documentElement.style.width = "100%"; document.documentElement.style.height = "100%"; - if (cel) { - cel.style.position = "absolute"; - var pad = unpackPadding(sizing.padding); - cel.style.top = pad.top + "px"; - cel.style.right = pad.right + "px"; - cel.style.bottom = pad.bottom + "px"; - cel.style.left = pad.left + "px"; - el.style.width = "100%"; - el.style.height = "100%"; - } + cel.style.position = "absolute"; + var pad = unpackPadding(sizing.padding); + cel.style.top = pad.top + "px"; + cel.style.right = pad.right + "px"; + cel.style.bottom = pad.bottom + "px"; + cel.style.left = pad.left + "px"; + el.style.width = "100%"; + el.style.height = "100%"; return { - getWidth: function() { return cel.offsetWidth; }, - getHeight: function() { return cel.offsetHeight; } + getWidth: function() { return cel.getBoundingClientRect().width; }, + getHeight: function() { return cel.getBoundingClientRect().height; } }; } else { @@ -308,8 +306,8 @@ el.style.height = px(sizing.height); return { - getWidth: function() { return el.offsetWidth; }, - getHeight: function() { return el.offsetHeight; } + getWidth: function() { return cel.getBoundingClientRect().width; }, + getHeight: function() { return cel.getBoundingClientRect().height; } }; } } @@ -533,8 +531,8 @@ elementData(el, "initialized", true); if (bindingDef.initialize) { - var result = bindingDef.initialize(el, el.offsetWidth, - el.offsetHeight); + var rect = el.getBoundingClientRect(); + var result = bindingDef.initialize(el, rect.width, rect.height); elementData(el, "init_result", result); } } @@ -576,29 +574,30 @@ forEach(matches, function(el) { var sizeObj = initSizing(el, binding); + var getSize = function(el) { + if (sizeObj) { + return {w: sizeObj.getWidth(), h: sizeObj.getHeight()} + } else { + var rect = el.getBoundingClientRect(); + return {w: rect.width, h: rect.height} + } + }; + if (hasClass(el, "html-widget-static-bound")) return; el.className = el.className + " html-widget-static-bound"; var initResult; if (binding.initialize) { - initResult = binding.initialize(el, - sizeObj ? sizeObj.getWidth() : el.offsetWidth, - sizeObj ? sizeObj.getHeight() : el.offsetHeight - ); + var size = getSize(el); + initResult = binding.initialize(el, size.w, size.h); elementData(el, "init_result", initResult); } if (binding.resize) { - var lastSize = { - w: sizeObj ? sizeObj.getWidth() : el.offsetWidth, - h: sizeObj ? sizeObj.getHeight() : el.offsetHeight - }; + var lastSize = getSize(el); var resizeHandler = function(e) { - var size = { - w: sizeObj ? sizeObj.getWidth() : el.offsetWidth, - h: sizeObj ? sizeObj.getHeight() : el.offsetHeight - }; + var size = getSize(el); 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i(c,{...Ht,announceStatus:be,getStatusText:ye,print:le,focus:de,progress:se,controls:ne,location:ae,overview:te,fragments:ee,slideContent:J,slideNumber:Q,onUserInput:Nt,closeOverlay:ze,updateSlidesVisibility:at,layoutSlideContents:He,transformSlides:xe,cueAutoSlide:wt,cancelAutoSlide:Rt}),Ht}let V=K,$=[];V.initialize=e=>(Object.assign(V,new K(document.querySelector(".reveal"),e)),$.map((e=>e(V))),V.initialize()),["configure","on","off","addEventListener","removeEventListener","registerPlugin"].forEach((e=>{V[e]=(...t)=>{$.push((i=>i[e].call(null,...t)))}})),V.isReady=()=>!1,V.VERSION="4.2.0";export default V; -//# sourceMappingURL=reveal.esm.js.map diff --git a/_freeze/site_libs/revealjs/dist/reveal.esm.js.map b/_freeze/site_libs/revealjs/dist/reveal.esm.js.map deleted file mode 100644 index c8bd3c1..0000000 --- a/_freeze/site_libs/revealjs/dist/reveal.esm.js.map +++ /dev/null @@ -1 +0,0 @@ -{"version":3,"file":"reveal.esm.js","sources":["../js/utils/constants.js","../js/utils/util.js","../js/utils/device.js","../node_modules/fitty/dist/fitty.module.js","../js/controllers/slidecontent.js","../js/controllers/slidenumber.js","../js/utils/color.js","../js/controllers/backgrounds.js","../js/controllers/autoanimate.js","../js/controllers/fragments.js","../js/controllers/overview.js","../js/controllers/keyboard.js","../js/controllers/location.js","../js/controllers/controls.js","../js/controllers/progress.js","../js/controllers/pointer.js","../js/utils/loader.js","../js/controllers/plugins.js","../js/controllers/print.js","../js/controllers/touch.js","../js/controllers/focus.js","../js/controllers/notes.js","../js/components/playback.js","../js/config.js","../js/reveal.js","../js/index.js"],"sourcesContent":["\nexport const SLIDES_SELECTOR = '.slides section';\nexport const HORIZONTAL_SLIDES_SELECTOR = '.slides>section';\nexport const VERTICAL_SLIDES_SELECTOR = '.slides>section.present>section';\n\n// Methods that may not be invoked via the postMessage API\nexport const POST_MESSAGE_METHOD_BLACKLIST = /registerPlugin|registerKeyboardShortcut|addKeyBinding|addEventListener/;\n\n// Regex for retrieving the fragment style from a class attribute\nexport const FRAGMENT_STYLE_REGEX = /fade-(down|up|right|left|out|in-then-out|in-then-semi-out)|semi-fade-out|current-visible|shrink|grow/;","/**\n * Extend object a with the properties of object b.\n * If there's a conflict, object b takes precedence.\n *\n * @param {object} a\n * @param {object} b\n */\nexport const extend = ( a, b ) => {\n\n\tfor( let i in b ) {\n\t\ta[ i ] = b[ i ];\n\t}\n\n\treturn a;\n\n}\n\n/**\n * querySelectorAll but returns an Array.\n */\nexport const queryAll = ( el, selector ) => {\n\n\treturn Array.from( el.querySelectorAll( selector ) );\n\n}\n\n/**\n * classList.toggle() with cross browser support\n */\nexport const toggleClass = ( el, className, value ) => {\n\tif( value ) {\n\t\tel.classList.add( className );\n\t}\n\telse {\n\t\tel.classList.remove( className );\n\t}\n}\n\n/**\n * Utility for deserializing a value.\n *\n * @param {*} value\n * @return {*}\n */\nexport const deserialize = ( value ) => {\n\n\tif( typeof value === 'string' ) {\n\t\tif( value === 'null' ) return null;\n\t\telse if( value === 'true' ) return true;\n\t\telse if( value === 'false' ) return false;\n\t\telse if( value.match( /^-?[\\d\\.]+$/ ) ) return parseFloat( value );\n\t}\n\n\treturn value;\n\n}\n\n/**\n * Measures the distance in pixels between point a\n * and point b.\n *\n * @param {object} a point with x/y properties\n * @param {object} b point with x/y properties\n *\n * @return {number}\n */\nexport const distanceBetween = ( a, b ) => {\n\n\tlet dx = a.x - b.x,\n\t\tdy = a.y - b.y;\n\n\treturn Math.sqrt( dx*dx + dy*dy );\n\n}\n\n/**\n * Applies a CSS transform to the target element.\n *\n * @param {HTMLElement} element\n * @param {string} transform\n */\nexport const transformElement = ( element, transform ) => {\n\n\telement.style.transform = transform;\n\n}\n\n/**\n * Element.matches with IE support.\n *\n * @param {HTMLElement} target The element to match\n * @param {String} selector The CSS selector to match\n * the element against\n *\n * @return {Boolean}\n */\nexport const matches = ( target, selector ) => {\n\n\tlet matchesMethod = target.matches || target.matchesSelector || target.msMatchesSelector;\n\n\treturn !!( matchesMethod && matchesMethod.call( target, selector ) );\n\n}\n\n/**\n * Find the closest parent that matches the given\n * selector.\n *\n * @param {HTMLElement} target The child element\n * @param {String} selector The CSS selector to match\n * the parents against\n *\n * @return {HTMLElement} The matched parent or null\n * if no matching parent was found\n */\nexport const closest = ( target, selector ) => {\n\n\t// Native Element.closest\n\tif( typeof target.closest === 'function' ) {\n\t\treturn target.closest( selector );\n\t}\n\n\t// Polyfill\n\twhile( target ) {\n\t\tif( matches( target, selector ) ) {\n\t\t\treturn target;\n\t\t}\n\n\t\t// Keep searching\n\t\ttarget = target.parentNode;\n\t}\n\n\treturn null;\n\n}\n\n/**\n * Handling the fullscreen functionality via the fullscreen API\n *\n * @see http://fullscreen.spec.whatwg.org/\n * @see https://developer.mozilla.org/en-US/docs/DOM/Using_fullscreen_mode\n */\nexport const enterFullscreen = element => {\n\n\telement = element || document.documentElement;\n\n\t// Check which implementation is available\n\tlet requestMethod = element.requestFullscreen ||\n\t\t\t\t\t\telement.webkitRequestFullscreen ||\n\t\t\t\t\t\telement.webkitRequestFullScreen ||\n\t\t\t\t\t\telement.mozRequestFullScreen ||\n\t\t\t\t\t\telement.msRequestFullscreen;\n\n\tif( requestMethod ) {\n\t\trequestMethod.apply( element );\n\t}\n\n}\n\n/**\n * Creates an HTML element and returns a reference to it.\n * If the element already exists the existing instance will\n * be returned.\n *\n * @param {HTMLElement} container\n * @param {string} tagname\n * @param {string} classname\n * @param {string} innerHTML\n *\n * @return {HTMLElement}\n */\nexport const createSingletonNode = ( container, tagname, classname, innerHTML='' ) => {\n\n\t// Find all nodes matching the description\n\tlet nodes = container.querySelectorAll( '.' + classname );\n\n\t// Check all matches to find one which is a direct child of\n\t// the specified container\n\tfor( let i = 0; i < nodes.length; i++ ) {\n\t\tlet testNode = nodes[i];\n\t\tif( testNode.parentNode === container ) {\n\t\t\treturn testNode;\n\t\t}\n\t}\n\n\t// If no node was found, create it now\n\tlet node = document.createElement( tagname );\n\tnode.className = classname;\n\tnode.innerHTML = innerHTML;\n\tcontainer.appendChild( node );\n\n\treturn node;\n\n}\n\n/**\n * Injects the given CSS styles into the DOM.\n *\n * @param {string} value\n */\nexport const createStyleSheet = ( value ) => {\n\n\tlet tag = document.createElement( 'style' );\n\ttag.type = 'text/css';\n\n\tif( value && value.length > 0 ) {\n\t\tif( tag.styleSheet ) {\n\t\t\ttag.styleSheet.cssText = value;\n\t\t}\n\t\telse {\n\t\t\ttag.appendChild( document.createTextNode( value ) );\n\t\t}\n\t}\n\n\tdocument.head.appendChild( tag );\n\n\treturn tag;\n\n}\n\n/**\n * Returns a key:value hash of all query params.\n */\nexport const getQueryHash = () => {\n\n\tlet query = {};\n\n\tlocation.search.replace( /[A-Z0-9]+?=([\\w\\.%-]*)/gi, a => {\n\t\tquery[ a.split( '=' ).shift() ] = a.split( '=' ).pop();\n\t} );\n\n\t// Basic deserialization\n\tfor( let i in query ) {\n\t\tlet value = query[ i ];\n\n\t\tquery[ i ] = deserialize( unescape( value ) );\n\t}\n\n\t// Do not accept new dependencies via query config to avoid\n\t// the potential of malicious script injection\n\tif( typeof query['dependencies'] !== 'undefined' ) delete query['dependencies'];\n\n\treturn query;\n\n}\n\n/**\n * Returns the remaining height within the parent of the\n * target element.\n *\n * remaining height = [ configured parent height ] - [ current parent height ]\n *\n * @param {HTMLElement} element\n * @param {number} [height]\n */\nexport const getRemainingHeight = ( element, height = 0 ) => {\n\n\tif( element ) {\n\t\tlet newHeight, oldHeight = element.style.height;\n\n\t\t// Change the .stretch element height to 0 in order find the height of all\n\t\t// the other elements\n\t\telement.style.height = '0px';\n\n\t\t// In Overview mode, the parent (.slide) height is set of 700px.\n\t\t// Restore it temporarily to its natural height.\n\t\telement.parentNode.style.height = 'auto';\n\n\t\tnewHeight = height - element.parentNode.offsetHeight;\n\n\t\t// Restore the old height, just in case\n\t\telement.style.height = oldHeight + 'px';\n\n\t\t// Clear the parent (.slide) height. .removeProperty works in IE9+\n\t\telement.parentNode.style.removeProperty('height');\n\n\t\treturn newHeight;\n\t}\n\n\treturn height;\n\n}","const UA = navigator.userAgent;\nconst testElement = document.createElement( 'div' );\n\nexport const isMobile = /(iphone|ipod|ipad|android)/gi.test( UA ) ||\n\t\t\t\t\t\t( navigator.platform === 'MacIntel' && navigator.maxTouchPoints > 1 ); // iPadOS\n\nexport const isChrome = /chrome/i.test( UA ) && !/edge/i.test( UA );\n\nexport const isAndroid = /android/gi.test( UA );\n\n// Flags if we should use zoom instead of transform to scale\n// up slides. Zoom produces crisper results but has a lot of\n// xbrowser quirks so we only use it in whitelisted browsers.\nexport const supportsZoom = 'zoom' in testElement.style && !isMobile &&\n\t\t\t\t( isChrome || /Version\\/[\\d\\.]+.*Safari/.test( UA ) );","/*\n * fitty v2.3.3 - Snugly resizes text to fit its parent container\n * Copyright (c) 2020 Rik Schennink (https://pqina.nl/)\n */\n'use strict';\n\nObject.defineProperty(exports, \"__esModule\", {\n value: true\n});\n\nvar _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; };\n\nexports.default = function (w) {\n\n // no window, early exit\n if (!w) return;\n\n // node list to array helper method\n var toArray = function toArray(nl) {\n return [].slice.call(nl);\n };\n\n // states\n var DrawState = {\n IDLE: 0,\n DIRTY_CONTENT: 1,\n DIRTY_LAYOUT: 2,\n DIRTY: 3\n };\n\n // all active fitty elements\n var fitties = [];\n\n // group all redraw calls till next frame, we cancel each frame request when a new one comes in. If no support for request animation frame, this is an empty function and supports for fitty stops.\n var redrawFrame = null;\n var requestRedraw = 'requestAnimationFrame' in w ? function () {\n w.cancelAnimationFrame(redrawFrame);\n redrawFrame = w.requestAnimationFrame(function () {\n return redraw(fitties.filter(function (f) {\n return f.dirty && f.active;\n }));\n });\n } : function () {};\n\n // sets all fitties to dirty so they are redrawn on the next redraw loop, then calls redraw\n var redrawAll = function redrawAll(type) {\n return function () {\n fitties.forEach(function (f) {\n return f.dirty = type;\n });\n requestRedraw();\n };\n };\n\n // redraws fitties so they nicely fit their parent container\n var redraw = function redraw(fitties) {\n\n // getting info from the DOM at this point should not trigger a reflow, let's gather as much intel as possible before triggering a reflow\n\n // check if styles of all fitties have been computed\n fitties.filter(function (f) {\n return !f.styleComputed;\n }).forEach(function (f) {\n f.styleComputed = computeStyle(f);\n });\n\n // restyle elements that require pre-styling, this triggers a reflow, please try to prevent by adding CSS rules (see docs)\n fitties.filter(shouldPreStyle).forEach(applyStyle);\n\n // we now determine which fitties should be redrawn\n var fittiesToRedraw = fitties.filter(shouldRedraw);\n\n // we calculate final styles for these fitties\n fittiesToRedraw.forEach(calculateStyles);\n\n // now we apply the calculated styles from our previous loop\n fittiesToRedraw.forEach(function (f) {\n applyStyle(f);\n markAsClean(f);\n });\n\n // now we dispatch events for all restyled fitties\n fittiesToRedraw.forEach(dispatchFitEvent);\n };\n\n var markAsClean = function markAsClean(f) {\n return f.dirty = DrawState.IDLE;\n };\n\n var calculateStyles = function calculateStyles(f) {\n\n // get available width from parent node\n f.availableWidth = f.element.parentNode.clientWidth;\n\n // the space our target element uses\n f.currentWidth = f.element.scrollWidth;\n\n // remember current font size\n f.previousFontSize = f.currentFontSize;\n\n // let's calculate the new font size\n f.currentFontSize = Math.min(Math.max(f.minSize, f.availableWidth / f.currentWidth * f.previousFontSize), f.maxSize);\n\n // if allows wrapping, only wrap when at minimum font size (otherwise would break container)\n f.whiteSpace = f.multiLine && f.currentFontSize === f.minSize ? 'normal' : 'nowrap';\n };\n\n // should always redraw if is not dirty layout, if is dirty layout, only redraw if size has changed\n var shouldRedraw = function shouldRedraw(f) {\n return f.dirty !== DrawState.DIRTY_LAYOUT || f.dirty === DrawState.DIRTY_LAYOUT && f.element.parentNode.clientWidth !== f.availableWidth;\n };\n\n // every fitty element is tested for invalid styles\n var computeStyle = function computeStyle(f) {\n\n // get style properties\n var style = w.getComputedStyle(f.element, null);\n\n // get current font size in pixels (if we already calculated it, use the calculated version)\n f.currentFontSize = parseFloat(style.getPropertyValue('font-size'));\n\n // get display type and wrap mode\n f.display = style.getPropertyValue('display');\n f.whiteSpace = style.getPropertyValue('white-space');\n };\n\n // determines if this fitty requires initial styling, can be prevented by applying correct styles through CSS\n var shouldPreStyle = function shouldPreStyle(f) {\n\n var preStyle = false;\n\n // if we already tested for prestyling we don't have to do it again\n if (f.preStyleTestCompleted) return false;\n\n // should have an inline style, if not, apply\n if (!/inline-/.test(f.display)) {\n preStyle = true;\n f.display = 'inline-block';\n }\n\n // to correctly calculate dimensions the element should have whiteSpace set to nowrap\n if (f.whiteSpace !== 'nowrap') {\n preStyle = true;\n f.whiteSpace = 'nowrap';\n }\n\n // we don't have to do this twice\n f.preStyleTestCompleted = true;\n\n return preStyle;\n };\n\n // apply styles to single fitty\n var applyStyle = function applyStyle(f) {\n f.element.style.whiteSpace = f.whiteSpace;\n f.element.style.display = f.display;\n f.element.style.fontSize = f.currentFontSize + 'px';\n };\n\n // dispatch a fit event on a fitty\n var dispatchFitEvent = function dispatchFitEvent(f) {\n f.element.dispatchEvent(new CustomEvent('fit', {\n detail: {\n oldValue: f.previousFontSize,\n newValue: f.currentFontSize,\n scaleFactor: f.currentFontSize / f.previousFontSize\n }\n }));\n };\n\n // fit method, marks the fitty as dirty and requests a redraw (this will also redraw any other fitty marked as dirty)\n var fit = function fit(f, type) {\n return function () {\n f.dirty = type;\n if (!f.active) return;\n requestRedraw();\n };\n };\n\n var init = function init(f) {\n\n // save some of the original CSS properties before we change them\n f.originalStyle = {\n whiteSpace: f.element.style.whiteSpace,\n display: f.element.style.display,\n fontSize: f.element.style.fontSize\n };\n\n // should we observe DOM mutations\n observeMutations(f);\n\n // this is a new fitty so we need to validate if it's styles are in order\n f.newbie = true;\n\n // because it's a new fitty it should also be dirty, we want it to redraw on the first loop\n f.dirty = true;\n\n // we want to be able to update this fitty\n fitties.push(f);\n };\n\n var destroy = function destroy(f) {\n return function () {\n\n // remove from fitties array\n fitties = fitties.filter(function (_) {\n return _.element !== f.element;\n });\n\n // stop observing DOM\n if (f.observeMutations) f.observer.disconnect();\n\n // reset the CSS properties we changes\n f.element.style.whiteSpace = f.originalStyle.whiteSpace;\n f.element.style.display = f.originalStyle.display;\n f.element.style.fontSize = f.originalStyle.fontSize;\n };\n };\n\n // add a new fitty, does not redraw said fitty\n var subscribe = function subscribe(f) {\n return function () {\n if (f.active) return;\n f.active = true;\n requestRedraw();\n };\n };\n\n // remove an existing fitty\n var unsubscribe = function unsubscribe(f) {\n return function () {\n return f.active = false;\n };\n };\n\n var observeMutations = function observeMutations(f) {\n\n // no observing?\n if (!f.observeMutations) return;\n\n // start observing mutations\n f.observer = new MutationObserver(fit(f, DrawState.DIRTY_CONTENT));\n\n // start observing\n f.observer.observe(f.element, f.observeMutations);\n };\n\n // default mutation observer settings\n var mutationObserverDefaultSetting = {\n subtree: true,\n childList: true,\n characterData: true\n };\n\n // default fitty options\n var defaultOptions = {\n minSize: 16,\n maxSize: 512,\n multiLine: true,\n observeMutations: 'MutationObserver' in w ? mutationObserverDefaultSetting : false\n };\n\n // array of elements in, fitty instances out\n function fittyCreate(elements, options) {\n\n // set options object\n var fittyOptions = _extends({}, defaultOptions, options);\n\n // create fitties\n var publicFitties = elements.map(function (element) {\n\n // create fitty instance\n var f = _extends({}, fittyOptions, {\n\n // internal options for this fitty\n element: element,\n active: true\n });\n\n // initialise this fitty\n init(f);\n\n // expose API\n return {\n element: element,\n fit: fit(f, DrawState.DIRTY),\n unfreeze: subscribe(f),\n freeze: unsubscribe(f),\n unsubscribe: destroy(f)\n };\n });\n\n // call redraw on newly initiated fitties\n requestRedraw();\n\n // expose fitties\n return publicFitties;\n }\n\n // fitty creation function\n function fitty(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n\n\n // if target is a string\n return typeof target === 'string' ?\n\n // treat it as a querySelector\n fittyCreate(toArray(document.querySelectorAll(target)), options) :\n\n // create single fitty\n fittyCreate([target], options)[0];\n }\n\n // handles viewport changes, redraws all fitties, but only does so after a timeout\n var resizeDebounce = null;\n var onWindowResized = function onWindowResized() {\n w.clearTimeout(resizeDebounce);\n resizeDebounce = w.setTimeout(redrawAll(DrawState.DIRTY_LAYOUT), fitty.observeWindowDelay);\n };\n\n // define observe window property, so when we set it to true or false events are automatically added and removed\n var events = ['resize', 'orientationchange'];\n Object.defineProperty(fitty, 'observeWindow', {\n set: function set(enabled) {\n var method = (enabled ? 'add' : 'remove') + 'EventListener';\n events.forEach(function (e) {\n w[method](e, onWindowResized);\n });\n }\n });\n\n // fitty global properties (by setting observeWindow to true the events above get added)\n fitty.observeWindow = true;\n fitty.observeWindowDelay = 100;\n\n // public fit all method, will force redraw no matter what\n fitty.fitAll = redrawAll(DrawState.DIRTY);\n\n // export our fitty function, we don't want to keep it to our selves\n return fitty;\n}(typeof window === 'undefined' ? null : window);","import { HORIZONTAL_SLIDES_SELECTOR, VERTICAL_SLIDES_SELECTOR } from '../utils/constants.js'\nimport { extend, queryAll, closest } from '../utils/util.js'\nimport { isMobile } from '../utils/device.js'\n\nimport fitty from 'fitty';\n\n/**\n * Handles loading, unloading and playback of slide\n * content such as images, videos and iframes.\n */\nexport default class SlideContent {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\tthis.startEmbeddedIframe = this.startEmbeddedIframe.bind( this );\n\n\t}\n\n\t/**\n\t * Should the given element be preloaded?\n\t * Decides based on local element attributes and global config.\n\t *\n\t * @param {HTMLElement} element\n\t */\n\tshouldPreload( element ) {\n\n\t\t// Prefer an explicit global preload setting\n\t\tlet preload = this.Reveal.getConfig().preloadIframes;\n\n\t\t// If no global setting is available, fall back on the element's\n\t\t// own preload setting\n\t\tif( typeof preload !== 'boolean' ) {\n\t\t\tpreload = element.hasAttribute( 'data-preload' );\n\t\t}\n\n\t\treturn preload;\n\t}\n\n\t/**\n\t * Called when the given slide is within the configured view\n\t * distance. Shows the slide element and loads any content\n\t * that is set to load lazily (data-src).\n\t *\n\t * @param {HTMLElement} slide Slide to show\n\t */\n\tload( slide, options = {} ) {\n\n\t\t// Show the slide element\n\t\tslide.style.display = this.Reveal.getConfig().display;\n\n\t\t// Media elements with data-src attributes\n\t\tqueryAll( slide, 'img[data-src], video[data-src], audio[data-src], iframe[data-src]' ).forEach( element => {\n\t\t\tif( element.tagName !== 'IFRAME' || this.shouldPreload( element ) ) {\n\t\t\t\telement.setAttribute( 'src', element.getAttribute( 'data-src' ) );\n\t\t\t\telement.setAttribute( 'data-lazy-loaded', '' );\n\t\t\t\telement.removeAttribute( 'data-src' );\n\t\t\t}\n\t\t} );\n\n\t\t// Media elements with children\n\t\tqueryAll( slide, 'video, audio' ).forEach( media => {\n\t\t\tlet sources = 0;\n\n\t\t\tqueryAll( media, 'source[data-src]' ).forEach( source => {\n\t\t\t\tsource.setAttribute( 'src', source.getAttribute( 'data-src' ) );\n\t\t\t\tsource.removeAttribute( 'data-src' );\n\t\t\t\tsource.setAttribute( 'data-lazy-loaded', '' );\n\t\t\t\tsources += 1;\n\t\t\t} );\n\n\t\t\t// Enable inline video playback in mobile Safari\n\t\t\tif( isMobile && media.tagName === 'VIDEO' ) {\n\t\t\t\tmedia.setAttribute( 'playsinline', '' );\n\t\t\t}\n\n\t\t\t// If we rewrote sources for this video/audio element, we need\n\t\t\t// to manually tell it to load from its new origin\n\t\t\tif( sources > 0 ) {\n\t\t\t\tmedia.load();\n\t\t\t}\n\t\t} );\n\n\n\t\t// Show the corresponding background element\n\t\tlet background = slide.slideBackgroundElement;\n\t\tif( background ) {\n\t\t\tbackground.style.display = 'block';\n\n\t\t\tlet backgroundContent = slide.slideBackgroundContentElement;\n\t\t\tlet backgroundIframe = slide.getAttribute( 'data-background-iframe' );\n\n\t\t\t// If the background contains media, load it\n\t\t\tif( background.hasAttribute( 'data-loaded' ) === false ) {\n\t\t\t\tbackground.setAttribute( 'data-loaded', 'true' );\n\n\t\t\t\tlet backgroundImage = slide.getAttribute( 'data-background-image' ),\n\t\t\t\t\tbackgroundVideo = slide.getAttribute( 'data-background-video' ),\n\t\t\t\t\tbackgroundVideoLoop = slide.hasAttribute( 'data-background-video-loop' ),\n\t\t\t\t\tbackgroundVideoMuted = slide.hasAttribute( 'data-background-video-muted' );\n\n\t\t\t\t// Images\n\t\t\t\tif( backgroundImage ) {\n\t\t\t\t\t// base64\n\t\t\t\t\tif( /^data:/.test( backgroundImage.trim() ) ) {\n\t\t\t\t\t\tbackgroundContent.style.backgroundImage = `url(${backgroundImage.trim()})`;\n\t\t\t\t\t}\n\t\t\t\t\t// URL(s)\n\t\t\t\t\telse {\n\t\t\t\t\t\tbackgroundContent.style.backgroundImage = backgroundImage.split( ',' ).map( background => {\n\t\t\t\t\t\t\treturn `url(${encodeURI(background.trim())})`;\n\t\t\t\t\t\t}).join( ',' );\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Videos\n\t\t\t\telse if ( backgroundVideo && !this.Reveal.isSpeakerNotes() ) {\n\t\t\t\t\tlet video = document.createElement( 'video' );\n\n\t\t\t\t\tif( backgroundVideoLoop ) {\n\t\t\t\t\t\tvideo.setAttribute( 'loop', '' );\n\t\t\t\t\t}\n\n\t\t\t\t\tif( backgroundVideoMuted ) {\n\t\t\t\t\t\tvideo.muted = true;\n\t\t\t\t\t}\n\n\t\t\t\t\t// Enable inline playback in mobile Safari\n\t\t\t\t\t//\n\t\t\t\t\t// Mute is required for video to play when using\n\t\t\t\t\t// swipe gestures to navigate since they don't\n\t\t\t\t\t// count as direct user actions :'(\n\t\t\t\t\tif( isMobile ) {\n\t\t\t\t\t\tvideo.muted = true;\n\t\t\t\t\t\tvideo.setAttribute( 'playsinline', '' );\n\t\t\t\t\t}\n\n\t\t\t\t\t// Support comma separated lists of video sources\n\t\t\t\t\tbackgroundVideo.split( ',' ).forEach( source => {\n\t\t\t\t\t\tvideo.innerHTML += '';\n\t\t\t\t\t} );\n\n\t\t\t\t\tbackgroundContent.appendChild( video );\n\t\t\t\t}\n\t\t\t\t// Iframes\n\t\t\t\telse if( backgroundIframe && options.excludeIframes !== true ) {\n\t\t\t\t\tlet iframe = document.createElement( 'iframe' );\n\t\t\t\t\tiframe.setAttribute( 'allowfullscreen', '' );\n\t\t\t\t\tiframe.setAttribute( 'mozallowfullscreen', '' );\n\t\t\t\t\tiframe.setAttribute( 'webkitallowfullscreen', '' );\n\t\t\t\t\tiframe.setAttribute( 'allow', 'autoplay' );\n\n\t\t\t\t\tiframe.setAttribute( 'data-src', backgroundIframe );\n\n\t\t\t\t\tiframe.style.width = '100%';\n\t\t\t\t\tiframe.style.height = '100%';\n\t\t\t\t\tiframe.style.maxHeight = '100%';\n\t\t\t\t\tiframe.style.maxWidth = '100%';\n\n\t\t\t\t\tbackgroundContent.appendChild( iframe );\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Start loading preloadable iframes\n\t\t\tlet backgroundIframeElement = backgroundContent.querySelector( 'iframe[data-src]' );\n\t\t\tif( backgroundIframeElement ) {\n\n\t\t\t\t// Check if this iframe is eligible to be preloaded\n\t\t\t\tif( this.shouldPreload( background ) && !/autoplay=(1|true|yes)/gi.test( backgroundIframe ) ) {\n\t\t\t\t\tif( backgroundIframeElement.getAttribute( 'src' ) !== backgroundIframe ) {\n\t\t\t\t\t\tbackgroundIframeElement.setAttribute( 'src', backgroundIframe );\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\tthis.layout( slide );\n\n\t}\n\n\t/**\n\t * Applies JS-dependent layout helpers for the given slide,\n\t * if there are any.\n\t */\n\tlayout( slide ) {\n\n\t\t// Autosize text with the r-fit-text class based on the\n\t\t// size of its container. This needs to happen after the\n\t\t// slide is visible in order to measure the text.\n\t\tArray.from( slide.querySelectorAll( '.r-fit-text' ) ).forEach( element => {\n\t\t\tfitty( element, {\n\t\t\t\tminSize: 24,\n\t\t\t\tmaxSize: this.Reveal.getConfig().height * 0.8,\n\t\t\t\tobserveMutations: false,\n\t\t\t\tobserveWindow: false\n\t\t\t} );\n\t\t} );\n\n\t}\n\n\t/**\n\t * Unloads and hides the given slide. This is called when the\n\t * slide is moved outside of the configured view distance.\n\t *\n\t * @param {HTMLElement} slide\n\t */\n\tunload( slide ) {\n\n\t\t// Hide the slide element\n\t\tslide.style.display = 'none';\n\n\t\t// Hide the corresponding background element\n\t\tlet background = this.Reveal.getSlideBackground( slide );\n\t\tif( background ) {\n\t\t\tbackground.style.display = 'none';\n\n\t\t\t// Unload any background iframes\n\t\t\tqueryAll( background, 'iframe[src]' ).forEach( element => {\n\t\t\t\telement.removeAttribute( 'src' );\n\t\t\t} );\n\t\t}\n\n\t\t// Reset lazy-loaded media elements with src attributes\n\t\tqueryAll( slide, 'video[data-lazy-loaded][src], audio[data-lazy-loaded][src], iframe[data-lazy-loaded][src]' ).forEach( element => {\n\t\t\telement.setAttribute( 'data-src', element.getAttribute( 'src' ) );\n\t\t\telement.removeAttribute( 'src' );\n\t\t} );\n\n\t\t// Reset lazy-loaded media elements with children\n\t\tqueryAll( slide, 'video[data-lazy-loaded] source[src], audio source[src]' ).forEach( source => {\n\t\t\tsource.setAttribute( 'data-src', source.getAttribute( 'src' ) );\n\t\t\tsource.removeAttribute( 'src' );\n\t\t} );\n\n\t}\n\n\t/**\n\t * Enforces origin-specific format rules for embedded media.\n\t */\n\tformatEmbeddedContent() {\n\n\t\tlet _appendParamToIframeSource = ( sourceAttribute, sourceURL, param ) => {\n\t\t\tqueryAll( this.Reveal.getSlidesElement(), 'iframe['+ sourceAttribute +'*=\"'+ sourceURL +'\"]' ).forEach( el => {\n\t\t\t\tlet src = el.getAttribute( sourceAttribute );\n\t\t\t\tif( src && src.indexOf( param ) === -1 ) {\n\t\t\t\t\tel.setAttribute( sourceAttribute, src + ( !/\\?/.test( src ) ? '?' : '&' ) + param );\n\t\t\t\t}\n\t\t\t});\n\t\t};\n\n\t\t// YouTube frames must include \"?enablejsapi=1\"\n\t\t_appendParamToIframeSource( 'src', 'youtube.com/embed/', 'enablejsapi=1' );\n\t\t_appendParamToIframeSource( 'data-src', 'youtube.com/embed/', 'enablejsapi=1' );\n\n\t\t// Vimeo frames must include \"?api=1\"\n\t\t_appendParamToIframeSource( 'src', 'player.vimeo.com/', 'api=1' );\n\t\t_appendParamToIframeSource( 'data-src', 'player.vimeo.com/', 'api=1' );\n\n\t}\n\n\t/**\n\t * Start playback of any embedded content inside of\n\t * the given element.\n\t *\n\t * @param {HTMLElement} element\n\t */\n\tstartEmbeddedContent( element ) {\n\n\t\tif( element && !this.Reveal.isSpeakerNotes() ) {\n\n\t\t\t// Restart GIFs\n\t\t\tqueryAll( element, 'img[src$=\".gif\"]' ).forEach( el => {\n\t\t\t\t// Setting the same unchanged source like this was confirmed\n\t\t\t\t// to work in Chrome, FF & Safari\n\t\t\t\tel.setAttribute( 'src', el.getAttribute( 'src' ) );\n\t\t\t} );\n\n\t\t\t// HTML5 media elements\n\t\t\tqueryAll( element, 'video, audio' ).forEach( el => {\n\t\t\t\tif( closest( el, '.fragment' ) && !closest( el, '.fragment.visible' ) ) {\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\t// Prefer an explicit global autoplay setting\n\t\t\t\tlet autoplay = this.Reveal.getConfig().autoPlayMedia;\n\n\t\t\t\t// If no global setting is available, fall back on the element's\n\t\t\t\t// own autoplay setting\n\t\t\t\tif( typeof autoplay !== 'boolean' ) {\n\t\t\t\t\tautoplay = el.hasAttribute( 'data-autoplay' ) || !!closest( el, '.slide-background' );\n\t\t\t\t}\n\n\t\t\t\tif( autoplay && typeof el.play === 'function' ) {\n\n\t\t\t\t\t// If the media is ready, start playback\n\t\t\t\t\tif( el.readyState > 1 ) {\n\t\t\t\t\t\tthis.startEmbeddedMedia( { target: el } );\n\t\t\t\t\t}\n\t\t\t\t\t// Mobile devices never fire a loaded event so instead\n\t\t\t\t\t// of waiting, we initiate playback\n\t\t\t\t\telse if( isMobile ) {\n\t\t\t\t\t\tlet promise = el.play();\n\n\t\t\t\t\t\t// If autoplay does not work, ensure that the controls are visible so\n\t\t\t\t\t\t// that the viewer can start the media on their own\n\t\t\t\t\t\tif( promise && typeof promise.catch === 'function' && el.controls === false ) {\n\t\t\t\t\t\t\tpromise.catch( () => {\n\t\t\t\t\t\t\t\tel.controls = true;\n\n\t\t\t\t\t\t\t\t// Once the video does start playing, hide the controls again\n\t\t\t\t\t\t\t\tel.addEventListener( 'play', () => {\n\t\t\t\t\t\t\t\t\tel.controls = false;\n\t\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\t// If the media isn't loaded, wait before playing\n\t\t\t\t\telse {\n\t\t\t\t\t\tel.removeEventListener( 'loadeddata', this.startEmbeddedMedia ); // remove first to avoid dupes\n\t\t\t\t\t\tel.addEventListener( 'loadeddata', this.startEmbeddedMedia );\n\t\t\t\t\t}\n\n\t\t\t\t}\n\t\t\t} );\n\n\t\t\t// Normal iframes\n\t\t\tqueryAll( element, 'iframe[src]' ).forEach( el => {\n\t\t\t\tif( closest( el, '.fragment' ) && !closest( el, '.fragment.visible' ) ) {\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\tthis.startEmbeddedIframe( { target: el } );\n\t\t\t} );\n\n\t\t\t// Lazy loading iframes\n\t\t\tqueryAll( element, 'iframe[data-src]' ).forEach( el => {\n\t\t\t\tif( closest( el, '.fragment' ) && !closest( el, '.fragment.visible' ) ) {\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\tif( el.getAttribute( 'src' ) !== el.getAttribute( 'data-src' ) ) {\n\t\t\t\t\tel.removeEventListener( 'load', this.startEmbeddedIframe ); // remove first to avoid dupes\n\t\t\t\t\tel.addEventListener( 'load', this.startEmbeddedIframe );\n\t\t\t\t\tel.setAttribute( 'src', el.getAttribute( 'data-src' ) );\n\t\t\t\t}\n\t\t\t} );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Starts playing an embedded video/audio element after\n\t * it has finished loading.\n\t *\n\t * @param {object} event\n\t */\n\tstartEmbeddedMedia( event ) {\n\n\t\tlet isAttachedToDOM = !!closest( event.target, 'html' ),\n\t\t\tisVisible \t\t= !!closest( event.target, '.present' );\n\n\t\tif( isAttachedToDOM && isVisible ) {\n\t\t\tevent.target.currentTime = 0;\n\t\t\tevent.target.play();\n\t\t}\n\n\t\tevent.target.removeEventListener( 'loadeddata', this.startEmbeddedMedia );\n\n\t}\n\n\t/**\n\t * \"Starts\" the content of an embedded iframe using the\n\t * postMessage API.\n\t *\n\t * @param {object} event\n\t */\n\tstartEmbeddedIframe( event ) {\n\n\t\tlet iframe = event.target;\n\n\t\tif( iframe && iframe.contentWindow ) {\n\n\t\t\tlet isAttachedToDOM = !!closest( event.target, 'html' ),\n\t\t\t\tisVisible \t\t= !!closest( event.target, '.present' );\n\n\t\t\tif( isAttachedToDOM && isVisible ) {\n\n\t\t\t\t// Prefer an explicit global autoplay setting\n\t\t\t\tlet autoplay = this.Reveal.getConfig().autoPlayMedia;\n\n\t\t\t\t// If no global setting is available, fall back on the element's\n\t\t\t\t// own autoplay setting\n\t\t\t\tif( typeof autoplay !== 'boolean' ) {\n\t\t\t\t\tautoplay = iframe.hasAttribute( 'data-autoplay' ) || !!closest( iframe, '.slide-background' );\n\t\t\t\t}\n\n\t\t\t\t// YouTube postMessage API\n\t\t\t\tif( /youtube\\.com\\/embed\\//.test( iframe.getAttribute( 'src' ) ) && autoplay ) {\n\t\t\t\t\tiframe.contentWindow.postMessage( '{\"event\":\"command\",\"func\":\"playVideo\",\"args\":\"\"}', '*' );\n\t\t\t\t}\n\t\t\t\t// Vimeo postMessage API\n\t\t\t\telse if( /player\\.vimeo\\.com\\//.test( iframe.getAttribute( 'src' ) ) && autoplay ) {\n\t\t\t\t\tiframe.contentWindow.postMessage( '{\"method\":\"play\"}', '*' );\n\t\t\t\t}\n\t\t\t\t// Generic postMessage API\n\t\t\t\telse {\n\t\t\t\t\tiframe.contentWindow.postMessage( 'slide:start', '*' );\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Stop playback of any embedded content inside of\n\t * the targeted slide.\n\t *\n\t * @param {HTMLElement} element\n\t */\n\tstopEmbeddedContent( element, options = {} ) {\n\n\t\toptions = extend( {\n\t\t\t// Defaults\n\t\t\tunloadIframes: true\n\t\t}, options );\n\n\t\tif( element && element.parentNode ) {\n\t\t\t// HTML5 media elements\n\t\t\tqueryAll( element, 'video, audio' ).forEach( el => {\n\t\t\t\tif( !el.hasAttribute( 'data-ignore' ) && typeof el.pause === 'function' ) {\n\t\t\t\t\tel.setAttribute('data-paused-by-reveal', '');\n\t\t\t\t\tel.pause();\n\t\t\t\t}\n\t\t\t} );\n\n\t\t\t// Generic postMessage API for non-lazy loaded iframes\n\t\t\tqueryAll( element, 'iframe' ).forEach( el => {\n\t\t\t\tif( el.contentWindow ) el.contentWindow.postMessage( 'slide:stop', '*' );\n\t\t\t\tel.removeEventListener( 'load', this.startEmbeddedIframe );\n\t\t\t});\n\n\t\t\t// YouTube postMessage API\n\t\t\tqueryAll( element, 'iframe[src*=\"youtube.com/embed/\"]' ).forEach( el => {\n\t\t\t\tif( !el.hasAttribute( 'data-ignore' ) && el.contentWindow && typeof el.contentWindow.postMessage === 'function' ) {\n\t\t\t\t\tel.contentWindow.postMessage( '{\"event\":\"command\",\"func\":\"pauseVideo\",\"args\":\"\"}', '*' );\n\t\t\t\t}\n\t\t\t});\n\n\t\t\t// Vimeo postMessage API\n\t\t\tqueryAll( element, 'iframe[src*=\"player.vimeo.com/\"]' ).forEach( el => {\n\t\t\t\tif( !el.hasAttribute( 'data-ignore' ) && el.contentWindow && typeof el.contentWindow.postMessage === 'function' ) {\n\t\t\t\t\tel.contentWindow.postMessage( '{\"method\":\"pause\"}', '*' );\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tif( options.unloadIframes === true ) {\n\t\t\t\t// Unload lazy-loaded iframes\n\t\t\t\tqueryAll( element, 'iframe[data-src]' ).forEach( el => {\n\t\t\t\t\t// Only removing the src doesn't actually unload the frame\n\t\t\t\t\t// in all browsers (Firefox) so we set it to blank first\n\t\t\t\t\tel.setAttribute( 'src', 'about:blank' );\n\t\t\t\t\tel.removeAttribute( 'src' );\n\t\t\t\t} );\n\t\t\t}\n\t\t}\n\n\t}\n\n}","/**\n * Handles the display of reveal.js' optional slide number.\n */\nexport default class SlideNumber {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t}\n\n\trender() {\n\n\t\tthis.element = document.createElement( 'div' );\n\t\tthis.element.className = 'slide-number';\n\t\tthis.Reveal.getRevealElement().appendChild( this.element );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tlet slideNumberDisplay = 'none';\n\t\tif( config.slideNumber && !this.Reveal.isPrintingPDF() ) {\n\t\t\tif( config.showSlideNumber === 'all' ) {\n\t\t\t\tslideNumberDisplay = 'block';\n\t\t\t}\n\t\t\telse if( config.showSlideNumber === 'speaker' && this.Reveal.isSpeakerNotes() ) {\n\t\t\t\tslideNumberDisplay = 'block';\n\t\t\t}\n\t\t}\n\n\t\tthis.element.style.display = slideNumberDisplay;\n\n\t}\n\n\t/**\n\t * Updates the slide number to match the current slide.\n\t */\n\tupdate() {\n\n\t\t// Update slide number if enabled\n\t\tif( this.Reveal.getConfig().slideNumber && this.element ) {\n\t\t\tthis.element.innerHTML = this.getSlideNumber();\n\t\t}\n\n\t}\n\n\t/**\n\t * Returns the HTML string corresponding to the current slide\n\t * number, including formatting.\n\t */\n\tgetSlideNumber( slide = this.Reveal.getCurrentSlide() ) {\n\n\t\tlet config = this.Reveal.getConfig();\n\t\tlet value;\n\t\tlet format = 'h.v';\n\n\t\tif ( typeof config.slideNumber === 'function' ) {\n\t\t\tvalue = config.slideNumber( slide );\n\t\t} else {\n\t\t\t// Check if a custom number format is available\n\t\t\tif( typeof config.slideNumber === 'string' ) {\n\t\t\t\tformat = config.slideNumber;\n\t\t\t}\n\n\t\t\t// If there are ONLY vertical slides in this deck, always use\n\t\t\t// a flattened slide number\n\t\t\tif( !/c/.test( format ) && this.Reveal.getHorizontalSlides().length === 1 ) {\n\t\t\t\tformat = 'c';\n\t\t\t}\n\n\t\t\t// Offset the current slide number by 1 to make it 1-indexed\n\t\t\tlet horizontalOffset = slide && slide.dataset.visibility === 'uncounted' ? 0 : 1;\n\n\t\t\tvalue = [];\n\t\t\tswitch( format ) {\n\t\t\t\tcase 'c':\n\t\t\t\t\tvalue.push( this.Reveal.getSlidePastCount( slide ) + horizontalOffset );\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'c/t':\n\t\t\t\t\tvalue.push( this.Reveal.getSlidePastCount( slide ) + horizontalOffset, '/', this.Reveal.getTotalSlides() );\n\t\t\t\t\tbreak;\n\t\t\t\tdefault:\n\t\t\t\t\tlet indices = this.Reveal.getIndices( slide );\n\t\t\t\t\tvalue.push( indices.h + horizontalOffset );\n\t\t\t\t\tlet sep = format === 'h/v' ? '/' : '.';\n\t\t\t\t\tif( this.Reveal.isVerticalSlide( slide ) ) value.push( sep, indices.v + 1 );\n\t\t\t}\n\t\t}\n\n\t\tlet url = '#' + this.Reveal.location.getHash( slide );\n\t\treturn this.formatNumber( value[0], value[1], value[2], url );\n\n\t}\n\n\t/**\n\t * Applies HTML formatting to a slide number before it's\n\t * written to the DOM.\n\t *\n\t * @param {number} a Current slide\n\t * @param {string} delimiter Character to separate slide numbers\n\t * @param {(number|*)} b Total slides\n\t * @param {HTMLElement} [url='#'+locationHash()] The url to link to\n\t * @return {string} HTML string fragment\n\t */\n\tformatNumber( a, delimiter, b, url = '#' + this.Reveal.location.getHash() ) {\n\n\t\tif( typeof b === 'number' && !isNaN( b ) ) {\n\t\t\treturn `\n\t\t\t\t\t${a}\n\t\t\t\t\t${delimiter}\n\t\t\t\t\t${b}\n\t\t\t\t\t`;\n\t\t}\n\t\telse {\n\t\t\treturn `\n\t\t\t\t\t${a}\n\t\t\t\t\t`;\n\t\t}\n\n\t}\n\n}","/**\n * Converts various color input formats to an {r:0,g:0,b:0} object.\n *\n * @param {string} color The string representation of a color\n * @example\n * colorToRgb('#000');\n * @example\n * colorToRgb('#000000');\n * @example\n * colorToRgb('rgb(0,0,0)');\n * @example\n * colorToRgb('rgba(0,0,0)');\n *\n * @return {{r: number, g: number, b: number, [a]: number}|null}\n */\nexport const colorToRgb = ( color ) => {\n\n\tlet hex3 = color.match( /^#([0-9a-f]{3})$/i );\n\tif( hex3 && hex3[1] ) {\n\t\thex3 = hex3[1];\n\t\treturn {\n\t\t\tr: parseInt( hex3.charAt( 0 ), 16 ) * 0x11,\n\t\t\tg: parseInt( hex3.charAt( 1 ), 16 ) * 0x11,\n\t\t\tb: parseInt( hex3.charAt( 2 ), 16 ) * 0x11\n\t\t};\n\t}\n\n\tlet hex6 = color.match( /^#([0-9a-f]{6})$/i );\n\tif( hex6 && hex6[1] ) {\n\t\thex6 = hex6[1];\n\t\treturn {\n\t\t\tr: parseInt( hex6.substr( 0, 2 ), 16 ),\n\t\t\tg: parseInt( hex6.substr( 2, 2 ), 16 ),\n\t\t\tb: parseInt( hex6.substr( 4, 2 ), 16 )\n\t\t};\n\t}\n\n\tlet rgb = color.match( /^rgb\\s*\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*\\)$/i );\n\tif( rgb ) {\n\t\treturn {\n\t\t\tr: parseInt( rgb[1], 10 ),\n\t\t\tg: parseInt( rgb[2], 10 ),\n\t\t\tb: parseInt( rgb[3], 10 )\n\t\t};\n\t}\n\n\tlet rgba = color.match( /^rgba\\s*\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*\\,\\s*([\\d]+|[\\d]*.[\\d]+)\\s*\\)$/i );\n\tif( rgba ) {\n\t\treturn {\n\t\t\tr: parseInt( rgba[1], 10 ),\n\t\t\tg: parseInt( rgba[2], 10 ),\n\t\t\tb: parseInt( rgba[3], 10 ),\n\t\t\ta: parseFloat( rgba[4] )\n\t\t};\n\t}\n\n\treturn null;\n\n}\n\n/**\n * Calculates brightness on a scale of 0-255.\n *\n * @param {string} color See colorToRgb for supported formats.\n * @see {@link colorToRgb}\n */\nexport const colorBrightness = ( color ) => {\n\n\tif( typeof color === 'string' ) color = colorToRgb( color );\n\n\tif( color ) {\n\t\treturn ( color.r * 299 + color.g * 587 + color.b * 114 ) / 1000;\n\t}\n\n\treturn null;\n\n}","import { queryAll } from '../utils/util.js'\nimport { colorToRgb, colorBrightness } from '../utils/color.js'\n\n/**\n * Creates and updates slide backgrounds.\n */\nexport default class Backgrounds {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t}\n\n\trender() {\n\n\t\tthis.element = document.createElement( 'div' );\n\t\tthis.element.className = 'backgrounds';\n\t\tthis.Reveal.getRevealElement().appendChild( this.element );\n\n\t}\n\n\t/**\n\t * Creates the slide background elements and appends them\n\t * to the background container. One element is created per\n\t * slide no matter if the given slide has visible background.\n\t */\n\tcreate() {\n\n\t\t// Clear prior backgrounds\n\t\tthis.element.innerHTML = '';\n\t\tthis.element.classList.add( 'no-transition' );\n\n\t\t// Iterate over all horizontal slides\n\t\tthis.Reveal.getHorizontalSlides().forEach( slideh => {\n\n\t\t\tlet backgroundStack = this.createBackground( slideh, this.element );\n\n\t\t\t// Iterate over all vertical slides\n\t\t\tqueryAll( slideh, 'section' ).forEach( slidev => {\n\n\t\t\t\tthis.createBackground( slidev, backgroundStack );\n\n\t\t\t\tbackgroundStack.classList.add( 'stack' );\n\n\t\t\t} );\n\n\t\t} );\n\n\t\t// Add parallax background if specified\n\t\tif( this.Reveal.getConfig().parallaxBackgroundImage ) {\n\n\t\t\tthis.element.style.backgroundImage = 'url(\"' + this.Reveal.getConfig().parallaxBackgroundImage + '\")';\n\t\t\tthis.element.style.backgroundSize = this.Reveal.getConfig().parallaxBackgroundSize;\n\t\t\tthis.element.style.backgroundRepeat = this.Reveal.getConfig().parallaxBackgroundRepeat;\n\t\t\tthis.element.style.backgroundPosition = this.Reveal.getConfig().parallaxBackgroundPosition;\n\n\t\t\t// Make sure the below properties are set on the element - these properties are\n\t\t\t// needed for proper transitions to be set on the element via CSS. To remove\n\t\t\t// annoying background slide-in effect when the presentation starts, apply\n\t\t\t// these properties after short time delay\n\t\t\tsetTimeout( () => {\n\t\t\t\tthis.Reveal.getRevealElement().classList.add( 'has-parallax-background' );\n\t\t\t}, 1 );\n\n\t\t}\n\t\telse {\n\n\t\t\tthis.element.style.backgroundImage = '';\n\t\t\tthis.Reveal.getRevealElement().classList.remove( 'has-parallax-background' );\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Creates a background for the given slide.\n\t *\n\t * @param {HTMLElement} slide\n\t * @param {HTMLElement} container The element that the background\n\t * should be appended to\n\t * @return {HTMLElement} New background div\n\t */\n\tcreateBackground( slide, container ) {\n\n\t\t// Main slide background element\n\t\tlet element = document.createElement( 'div' );\n\t\telement.className = 'slide-background ' + slide.className.replace( /present|past|future/, '' );\n\n\t\t// Inner background element that wraps images/videos/iframes\n\t\tlet contentElement = document.createElement( 'div' );\n\t\tcontentElement.className = 'slide-background-content';\n\n\t\telement.appendChild( contentElement );\n\t\tcontainer.appendChild( element );\n\n\t\tslide.slideBackgroundElement = element;\n\t\tslide.slideBackgroundContentElement = contentElement;\n\n\t\t// Syncs the background to reflect all current background settings\n\t\tthis.sync( slide );\n\n\t\treturn element;\n\n\t}\n\n\t/**\n\t * Renders all of the visual properties of a slide background\n\t * based on the various background attributes.\n\t *\n\t * @param {HTMLElement} slide\n\t */\n\tsync( slide ) {\n\n\t\tconst element = slide.slideBackgroundElement,\n\t\t\tcontentElement = slide.slideBackgroundContentElement;\n\n\t\tconst data = {\n\t\t\tbackground: slide.getAttribute( 'data-background' ),\n\t\t\tbackgroundSize: slide.getAttribute( 'data-background-size' ),\n\t\t\tbackgroundImage: slide.getAttribute( 'data-background-image' ),\n\t\t\tbackgroundVideo: slide.getAttribute( 'data-background-video' ),\n\t\t\tbackgroundIframe: slide.getAttribute( 'data-background-iframe' ),\n\t\t\tbackgroundColor: slide.getAttribute( 'data-background-color' ),\n\t\t\tbackgroundRepeat: slide.getAttribute( 'data-background-repeat' ),\n\t\t\tbackgroundPosition: slide.getAttribute( 'data-background-position' ),\n\t\t\tbackgroundTransition: slide.getAttribute( 'data-background-transition' ),\n\t\t\tbackgroundOpacity: slide.getAttribute( 'data-background-opacity' ),\n\t\t};\n\n\t\tconst dataPreload = slide.hasAttribute( 'data-preload' );\n\n\t\t// Reset the prior background state in case this is not the\n\t\t// initial sync\n\t\tslide.classList.remove( 'has-dark-background' );\n\t\tslide.classList.remove( 'has-light-background' );\n\n\t\telement.removeAttribute( 'data-loaded' );\n\t\telement.removeAttribute( 'data-background-hash' );\n\t\telement.removeAttribute( 'data-background-size' );\n\t\telement.removeAttribute( 'data-background-transition' );\n\t\telement.style.backgroundColor = '';\n\n\t\tcontentElement.style.backgroundSize = '';\n\t\tcontentElement.style.backgroundRepeat = '';\n\t\tcontentElement.style.backgroundPosition = '';\n\t\tcontentElement.style.backgroundImage = '';\n\t\tcontentElement.style.opacity = '';\n\t\tcontentElement.innerHTML = '';\n\n\t\tif( data.background ) {\n\t\t\t// Auto-wrap image urls in url(...)\n\t\t\tif( /^(http|file|\\/\\/)/gi.test( data.background ) || /\\.(svg|png|jpg|jpeg|gif|bmp)([?#\\s]|$)/gi.test( data.background ) ) {\n\t\t\t\tslide.setAttribute( 'data-background-image', data.background );\n\t\t\t}\n\t\t\telse {\n\t\t\t\telement.style.background = data.background;\n\t\t\t}\n\t\t}\n\n\t\t// Create a hash for this combination of background settings.\n\t\t// This is used to determine when two slide backgrounds are\n\t\t// the same.\n\t\tif( data.background || data.backgroundColor || data.backgroundImage || data.backgroundVideo || data.backgroundIframe ) {\n\t\t\telement.setAttribute( 'data-background-hash', data.background +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundSize +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundImage +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundVideo +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundIframe +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundColor +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundRepeat +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundPosition +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundTransition +\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tdata.backgroundOpacity );\n\t\t}\n\n\t\t// Additional and optional background properties\n\t\tif( data.backgroundSize ) element.setAttribute( 'data-background-size', data.backgroundSize );\n\t\tif( data.backgroundColor ) element.style.backgroundColor = data.backgroundColor;\n\t\tif( data.backgroundTransition ) element.setAttribute( 'data-background-transition', data.backgroundTransition );\n\n\t\tif( dataPreload ) element.setAttribute( 'data-preload', '' );\n\n\t\t// Background image options are set on the content wrapper\n\t\tif( data.backgroundSize ) contentElement.style.backgroundSize = data.backgroundSize;\n\t\tif( data.backgroundRepeat ) contentElement.style.backgroundRepeat = data.backgroundRepeat;\n\t\tif( data.backgroundPosition ) contentElement.style.backgroundPosition = data.backgroundPosition;\n\t\tif( data.backgroundOpacity ) contentElement.style.opacity = data.backgroundOpacity;\n\n\t\t// If this slide has a background color, we add a class that\n\t\t// signals if it is light or dark. If the slide has no background\n\t\t// color, no class will be added\n\t\tlet contrastColor = data.backgroundColor;\n\n\t\t// If no bg color was found, or it cannot be converted by colorToRgb, check the computed background\n\t\tif( !contrastColor || !colorToRgb( contrastColor ) ) {\n\t\t\tlet computedBackgroundStyle = window.getComputedStyle( element );\n\t\t\tif( computedBackgroundStyle && computedBackgroundStyle.backgroundColor ) {\n\t\t\t\tcontrastColor = computedBackgroundStyle.backgroundColor;\n\t\t\t}\n\t\t}\n\n\t\tif( contrastColor ) {\n\t\t\tconst rgb = colorToRgb( contrastColor );\n\n\t\t\t// Ignore fully transparent backgrounds. Some browsers return\n\t\t\t// rgba(0,0,0,0) when reading the computed background color of\n\t\t\t// an element with no background\n\t\t\tif( rgb && rgb.a !== 0 ) {\n\t\t\t\tif( colorBrightness( contrastColor ) < 128 ) {\n\t\t\t\t\tslide.classList.add( 'has-dark-background' );\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tslide.classList.add( 'has-light-background' );\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t}\n\n\t/**\n\t * Updates the background elements to reflect the current\n\t * slide.\n\t *\n\t * @param {boolean} includeAll If true, the backgrounds of\n\t * all vertical slides (not just the present) will be updated.\n\t */\n\tupdate( includeAll = false ) {\n\n\t\tlet currentSlide = this.Reveal.getCurrentSlide();\n\t\tlet indices = this.Reveal.getIndices();\n\n\t\tlet currentBackground = null;\n\n\t\t// Reverse past/future classes when in RTL mode\n\t\tlet horizontalPast = this.Reveal.getConfig().rtl ? 'future' : 'past',\n\t\t\thorizontalFuture = this.Reveal.getConfig().rtl ? 'past' : 'future';\n\n\t\t// Update the classes of all backgrounds to match the\n\t\t// states of their slides (past/present/future)\n\t\tArray.from( this.element.childNodes ).forEach( ( backgroundh, h ) => {\n\n\t\t\tbackgroundh.classList.remove( 'past', 'present', 'future' );\n\n\t\t\tif( h < indices.h ) {\n\t\t\t\tbackgroundh.classList.add( horizontalPast );\n\t\t\t}\n\t\t\telse if ( h > indices.h ) {\n\t\t\t\tbackgroundh.classList.add( horizontalFuture );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tbackgroundh.classList.add( 'present' );\n\n\t\t\t\t// Store a reference to the current background element\n\t\t\t\tcurrentBackground = backgroundh;\n\t\t\t}\n\n\t\t\tif( includeAll || h === indices.h ) {\n\t\t\t\tqueryAll( backgroundh, '.slide-background' ).forEach( ( backgroundv, v ) => {\n\n\t\t\t\t\tbackgroundv.classList.remove( 'past', 'present', 'future' );\n\n\t\t\t\t\tif( v < indices.v ) {\n\t\t\t\t\t\tbackgroundv.classList.add( 'past' );\n\t\t\t\t\t}\n\t\t\t\t\telse if ( v > indices.v ) {\n\t\t\t\t\t\tbackgroundv.classList.add( 'future' );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tbackgroundv.classList.add( 'present' );\n\n\t\t\t\t\t\t// Only if this is the present horizontal and vertical slide\n\t\t\t\t\t\tif( h === indices.h ) currentBackground = backgroundv;\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\t\t\t}\n\n\t\t} );\n\n\t\t// Stop content inside of previous backgrounds\n\t\tif( this.previousBackground ) {\n\n\t\t\tthis.Reveal.slideContent.stopEmbeddedContent( this.previousBackground, { unloadIframes: !this.Reveal.slideContent.shouldPreload( this.previousBackground ) } );\n\n\t\t}\n\n\t\t// Start content in the current background\n\t\tif( currentBackground ) {\n\n\t\t\tthis.Reveal.slideContent.startEmbeddedContent( currentBackground );\n\n\t\t\tlet currentBackgroundContent = currentBackground.querySelector( '.slide-background-content' );\n\t\t\tif( currentBackgroundContent ) {\n\n\t\t\t\tlet backgroundImageURL = currentBackgroundContent.style.backgroundImage || '';\n\n\t\t\t\t// Restart GIFs (doesn't work in Firefox)\n\t\t\t\tif( /\\.gif/i.test( backgroundImageURL ) ) {\n\t\t\t\t\tcurrentBackgroundContent.style.backgroundImage = '';\n\t\t\t\t\twindow.getComputedStyle( currentBackgroundContent ).opacity;\n\t\t\t\t\tcurrentBackgroundContent.style.backgroundImage = backgroundImageURL;\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t\t// Don't transition between identical backgrounds. This\n\t\t\t// prevents unwanted flicker.\n\t\t\tlet previousBackgroundHash = this.previousBackground ? this.previousBackground.getAttribute( 'data-background-hash' ) : null;\n\t\t\tlet currentBackgroundHash = currentBackground.getAttribute( 'data-background-hash' );\n\t\t\tif( currentBackgroundHash && currentBackgroundHash === previousBackgroundHash && currentBackground !== this.previousBackground ) {\n\t\t\t\tthis.element.classList.add( 'no-transition' );\n\t\t\t}\n\n\t\t\tthis.previousBackground = currentBackground;\n\n\t\t}\n\n\t\t// If there's a background brightness flag for this slide,\n\t\t// bubble it to the .reveal container\n\t\tif( currentSlide ) {\n\t\t\t[ 'has-light-background', 'has-dark-background' ].forEach( classToBubble => {\n\t\t\t\tif( currentSlide.classList.contains( classToBubble ) ) {\n\t\t\t\t\tthis.Reveal.getRevealElement().classList.add( classToBubble );\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthis.Reveal.getRevealElement().classList.remove( classToBubble );\n\t\t\t\t}\n\t\t\t}, this );\n\t\t}\n\n\t\t// Allow the first background to apply without transition\n\t\tsetTimeout( () => {\n\t\t\tthis.element.classList.remove( 'no-transition' );\n\t\t}, 1 );\n\n\t}\n\n\t/**\n\t * Updates the position of the parallax background based\n\t * on the current slide index.\n\t */\n\tupdateParallax() {\n\n\t\tlet indices = this.Reveal.getIndices();\n\n\t\tif( this.Reveal.getConfig().parallaxBackgroundImage ) {\n\n\t\t\tlet horizontalSlides = this.Reveal.getHorizontalSlides(),\n\t\t\t\tverticalSlides = this.Reveal.getVerticalSlides();\n\n\t\t\tlet backgroundSize = this.element.style.backgroundSize.split( ' ' ),\n\t\t\t\tbackgroundWidth, backgroundHeight;\n\n\t\t\tif( backgroundSize.length === 1 ) {\n\t\t\t\tbackgroundWidth = backgroundHeight = parseInt( backgroundSize[0], 10 );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tbackgroundWidth = parseInt( backgroundSize[0], 10 );\n\t\t\t\tbackgroundHeight = parseInt( backgroundSize[1], 10 );\n\t\t\t}\n\n\t\t\tlet slideWidth = this.element.offsetWidth,\n\t\t\t\thorizontalSlideCount = horizontalSlides.length,\n\t\t\t\thorizontalOffsetMultiplier,\n\t\t\t\thorizontalOffset;\n\n\t\t\tif( typeof this.Reveal.getConfig().parallaxBackgroundHorizontal === 'number' ) {\n\t\t\t\thorizontalOffsetMultiplier = this.Reveal.getConfig().parallaxBackgroundHorizontal;\n\t\t\t}\n\t\t\telse {\n\t\t\t\thorizontalOffsetMultiplier = horizontalSlideCount > 1 ? ( backgroundWidth - slideWidth ) / ( horizontalSlideCount-1 ) : 0;\n\t\t\t}\n\n\t\t\thorizontalOffset = horizontalOffsetMultiplier * indices.h * -1;\n\n\t\t\tlet slideHeight = this.element.offsetHeight,\n\t\t\t\tverticalSlideCount = verticalSlides.length,\n\t\t\t\tverticalOffsetMultiplier,\n\t\t\t\tverticalOffset;\n\n\t\t\tif( typeof this.Reveal.getConfig().parallaxBackgroundVertical === 'number' ) {\n\t\t\t\tverticalOffsetMultiplier = this.Reveal.getConfig().parallaxBackgroundVertical;\n\t\t\t}\n\t\t\telse {\n\t\t\t\tverticalOffsetMultiplier = ( backgroundHeight - slideHeight ) / ( verticalSlideCount-1 );\n\t\t\t}\n\n\t\t\tverticalOffset = verticalSlideCount > 0 ? verticalOffsetMultiplier * indices.v : 0;\n\n\t\t\tthis.element.style.backgroundPosition = horizontalOffset + 'px ' + -verticalOffset + 'px';\n\n\t\t}\n\n\t}\n\n}\n","import { queryAll, extend, createStyleSheet, matches, closest } from '../utils/util.js'\nimport { FRAGMENT_STYLE_REGEX } from '../utils/constants.js'\n\n// Counter used to generate unique IDs for auto-animated elements\nlet autoAnimateCounter = 0;\n\n/**\n * Automatically animates matching elements across\n * slides with the [data-auto-animate] attribute.\n */\nexport default class AutoAnimate {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t}\n\n\t/**\n\t * Runs an auto-animation between the given slides.\n\t *\n\t * @param {HTMLElement} fromSlide\n\t * @param {HTMLElement} toSlide\n\t */\n\trun( fromSlide, toSlide ) {\n\n\t\t// Clean up after prior animations\n\t\tthis.reset();\n\n\t\tlet allSlides = this.Reveal.getSlides();\n\t\tlet toSlideIndex = allSlides.indexOf( toSlide );\n\t\tlet fromSlideIndex = allSlides.indexOf( fromSlide );\n\n\t\t// Ensure that both slides are auto-animate targets with the same data-auto-animate-id value\n\t\t// (including null if absent on both) and that data-auto-animate-restart isn't set on the\n\t\t// physically latter slide (independent of slide direction)\n\t\tif( fromSlide.hasAttribute( 'data-auto-animate' ) && toSlide.hasAttribute( 'data-auto-animate' )\n\t\t\t\t&& fromSlide.getAttribute( 'data-auto-animate-id' ) === toSlide.getAttribute( 'data-auto-animate-id' ) \n\t\t\t\t&& !( toSlideIndex > fromSlideIndex ? toSlide : fromSlide ).hasAttribute( 'data-auto-animate-restart' ) ) {\n\n\t\t\t// Create a new auto-animate sheet\n\t\t\tthis.autoAnimateStyleSheet = this.autoAnimateStyleSheet || createStyleSheet();\n\n\t\t\tlet animationOptions = this.getAutoAnimateOptions( toSlide );\n\n\t\t\t// Set our starting state\n\t\t\tfromSlide.dataset.autoAnimate = 'pending';\n\t\t\ttoSlide.dataset.autoAnimate = 'pending';\n\n\t\t\t// Flag the navigation direction, needed for fragment buildup\n\t\t\tanimationOptions.slideDirection = toSlideIndex > fromSlideIndex ? 'forward' : 'backward';\n\n\t\t\t// Inject our auto-animate styles for this transition\n\t\t\tlet css = this.getAutoAnimatableElements( fromSlide, toSlide ).map( elements => {\n\t\t\t\treturn this.autoAnimateElements( elements.from, elements.to, elements.options || {}, animationOptions, autoAnimateCounter++ );\n\t\t\t} );\n\n\t\t\t// Animate unmatched elements, if enabled\n\t\t\tif( toSlide.dataset.autoAnimateUnmatched !== 'false' && this.Reveal.getConfig().autoAnimateUnmatched === true ) {\n\n\t\t\t\t// Our default timings for unmatched elements\n\t\t\t\tlet defaultUnmatchedDuration = animationOptions.duration * 0.8,\n\t\t\t\t\tdefaultUnmatchedDelay = animationOptions.duration * 0.2;\n\n\t\t\t\tthis.getUnmatchedAutoAnimateElements( toSlide ).forEach( unmatchedElement => {\n\n\t\t\t\t\tlet unmatchedOptions = this.getAutoAnimateOptions( unmatchedElement, animationOptions );\n\t\t\t\t\tlet id = 'unmatched';\n\n\t\t\t\t\t// If there is a duration or delay set specifically for this\n\t\t\t\t\t// element our unmatched elements should adhere to those\n\t\t\t\t\tif( unmatchedOptions.duration !== animationOptions.duration || unmatchedOptions.delay !== animationOptions.delay ) {\n\t\t\t\t\t\tid = 'unmatched-' + autoAnimateCounter++;\n\t\t\t\t\t\tcss.push( `[data-auto-animate=\"running\"] [data-auto-animate-target=\"${id}\"] { transition: opacity ${unmatchedOptions.duration}s ease ${unmatchedOptions.delay}s; }` );\n\t\t\t\t\t}\n\n\t\t\t\t\tunmatchedElement.dataset.autoAnimateTarget = id;\n\n\t\t\t\t}, this );\n\n\t\t\t\t// Our default transition for unmatched elements\n\t\t\t\tcss.push( `[data-auto-animate=\"running\"] [data-auto-animate-target=\"unmatched\"] { transition: opacity ${defaultUnmatchedDuration}s ease ${defaultUnmatchedDelay}s; }` );\n\n\t\t\t}\n\n\t\t\t// Setting the whole chunk of CSS at once is the most\n\t\t\t// efficient way to do this. Using sheet.insertRule\n\t\t\t// is multiple factors slower.\n\t\t\tthis.autoAnimateStyleSheet.innerHTML = css.join( '' );\n\n\t\t\t// Start the animation next cycle\n\t\t\trequestAnimationFrame( () => {\n\t\t\t\tif( this.autoAnimateStyleSheet ) {\n\t\t\t\t\t// This forces our newly injected styles to be applied in Firefox\n\t\t\t\t\tgetComputedStyle( this.autoAnimateStyleSheet ).fontWeight;\n\n\t\t\t\t\ttoSlide.dataset.autoAnimate = 'running';\n\t\t\t\t}\n\t\t\t} );\n\n\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\ttype: 'autoanimate',\n\t\t\t\tdata: {\n\t\t\t\t\tfromSlide,\n\t\t\t\t\ttoSlide,\n\t\t\t\t\tsheet: this.autoAnimateStyleSheet\n\t\t\t\t}\n\t\t\t});\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Rolls back all changes that we've made to the DOM so\n\t * that as part of animating.\n\t */\n\treset() {\n\n\t\t// Reset slides\n\t\tqueryAll( this.Reveal.getRevealElement(), '[data-auto-animate]:not([data-auto-animate=\"\"])' ).forEach( element => {\n\t\t\telement.dataset.autoAnimate = '';\n\t\t} );\n\n\t\t// Reset elements\n\t\tqueryAll( this.Reveal.getRevealElement(), '[data-auto-animate-target]' ).forEach( element => {\n\t\t\tdelete element.dataset.autoAnimateTarget;\n\t\t} );\n\n\t\t// Remove the animation sheet\n\t\tif( this.autoAnimateStyleSheet && this.autoAnimateStyleSheet.parentNode ) {\n\t\t\tthis.autoAnimateStyleSheet.parentNode.removeChild( this.autoAnimateStyleSheet );\n\t\t\tthis.autoAnimateStyleSheet = null;\n\t\t}\n\n\t}\n\n\t/**\n\t * Creates a FLIP animation where the `to` element starts out\n\t * in the `from` element position and animates to its original\n\t * state.\n\t *\n\t * @param {HTMLElement} from\n\t * @param {HTMLElement} to\n\t * @param {Object} elementOptions Options for this element pair\n\t * @param {Object} animationOptions Options set at the slide level\n\t * @param {String} id Unique ID that we can use to identify this\n\t * auto-animate element in the DOM\n\t */\n\tautoAnimateElements( from, to, elementOptions, animationOptions, id ) {\n\n\t\t// 'from' elements are given a data-auto-animate-target with no value,\n\t\t// 'to' elements are are given a data-auto-animate-target with an ID\n\t\tfrom.dataset.autoAnimateTarget = '';\n\t\tto.dataset.autoAnimateTarget = id;\n\n\t\t// Each element may override any of the auto-animate options\n\t\t// like transition easing, duration and delay via data-attributes\n\t\tlet options = this.getAutoAnimateOptions( to, animationOptions );\n\n\t\t// If we're using a custom element matcher the element options\n\t\t// may contain additional transition overrides\n\t\tif( typeof elementOptions.delay !== 'undefined' ) options.delay = elementOptions.delay;\n\t\tif( typeof elementOptions.duration !== 'undefined' ) options.duration = elementOptions.duration;\n\t\tif( typeof elementOptions.easing !== 'undefined' ) options.easing = elementOptions.easing;\n\n\t\tlet fromProps = this.getAutoAnimatableProperties( 'from', from, elementOptions ),\n\t\t\ttoProps = this.getAutoAnimatableProperties( 'to', to, elementOptions );\n\n\t\t// Maintain fragment visibility for matching elements when\n\t\t// we're navigating forwards, this way the viewer won't need\n\t\t// to step through the same fragments twice\n\t\tif( to.classList.contains( 'fragment' ) ) {\n\n\t\t\t// Don't auto-animate the opacity of fragments to avoid\n\t\t\t// conflicts with fragment animations\n\t\t\tdelete toProps.styles['opacity'];\n\n\t\t\tif( from.classList.contains( 'fragment' ) ) {\n\n\t\t\t\tlet fromFragmentStyle = ( from.className.match( FRAGMENT_STYLE_REGEX ) || [''] )[0];\n\t\t\t\tlet toFragmentStyle = ( to.className.match( FRAGMENT_STYLE_REGEX ) || [''] )[0];\n\n\t\t\t\t// Only skip the fragment if the fragment animation style\n\t\t\t\t// remains unchanged\n\t\t\t\tif( fromFragmentStyle === toFragmentStyle && animationOptions.slideDirection === 'forward' ) {\n\t\t\t\t\tto.classList.add( 'visible', 'disabled' );\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// If translation and/or scaling are enabled, css transform\n\t\t// the 'to' element so that it matches the position and size\n\t\t// of the 'from' element\n\t\tif( elementOptions.translate !== false || elementOptions.scale !== false ) {\n\n\t\t\tlet presentationScale = this.Reveal.getScale();\n\n\t\t\tlet delta = {\n\t\t\t\tx: ( fromProps.x - toProps.x ) / presentationScale,\n\t\t\t\ty: ( fromProps.y - toProps.y ) / presentationScale,\n\t\t\t\tscaleX: fromProps.width / toProps.width,\n\t\t\t\tscaleY: fromProps.height / toProps.height\n\t\t\t};\n\n\t\t\t// Limit decimal points to avoid 0.0001px blur and stutter\n\t\t\tdelta.x = Math.round( delta.x * 1000 ) / 1000;\n\t\t\tdelta.y = Math.round( delta.y * 1000 ) / 1000;\n\t\t\tdelta.scaleX = Math.round( delta.scaleX * 1000 ) / 1000;\n\t\t\tdelta.scaleX = Math.round( delta.scaleX * 1000 ) / 1000;\n\n\t\t\tlet translate = elementOptions.translate !== false && ( delta.x !== 0 || delta.y !== 0 ),\n\t\t\t\tscale = elementOptions.scale !== false && ( delta.scaleX !== 0 || delta.scaleY !== 0 );\n\n\t\t\t// No need to transform if nothing's changed\n\t\t\tif( translate || scale ) {\n\n\t\t\t\tlet transform = [];\n\n\t\t\t\tif( translate ) transform.push( `translate(${delta.x}px, ${delta.y}px)` );\n\t\t\t\tif( scale ) transform.push( `scale(${delta.scaleX}, ${delta.scaleY})` );\n\n\t\t\t\tfromProps.styles['transform'] = transform.join( ' ' );\n\t\t\t\tfromProps.styles['transform-origin'] = 'top left';\n\n\t\t\t\ttoProps.styles['transform'] = 'none';\n\n\t\t\t}\n\n\t\t}\n\n\t\t// Delete all unchanged 'to' styles\n\t\tfor( let propertyName in toProps.styles ) {\n\t\t\tconst toValue = toProps.styles[propertyName];\n\t\t\tconst fromValue = fromProps.styles[propertyName];\n\n\t\t\tif( toValue === fromValue ) {\n\t\t\t\tdelete toProps.styles[propertyName];\n\t\t\t}\n\t\t\telse {\n\t\t\t\t// If these property values were set via a custom matcher providing\n\t\t\t\t// an explicit 'from' and/or 'to' value, we always inject those values.\n\t\t\t\tif( toValue.explicitValue === true ) {\n\t\t\t\t\ttoProps.styles[propertyName] = toValue.value;\n\t\t\t\t}\n\n\t\t\t\tif( fromValue.explicitValue === true ) {\n\t\t\t\t\tfromProps.styles[propertyName] = fromValue.value;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tlet css = '';\n\n\t\tlet toStyleProperties = Object.keys( toProps.styles );\n\n\t\t// Only create animate this element IF at least one style\n\t\t// property has changed\n\t\tif( toStyleProperties.length > 0 ) {\n\n\t\t\t// Instantly move to the 'from' state\n\t\t\tfromProps.styles['transition'] = 'none';\n\n\t\t\t// Animate towards the 'to' state\n\t\t\ttoProps.styles['transition'] = `all ${options.duration}s ${options.easing} ${options.delay}s`;\n\t\t\ttoProps.styles['transition-property'] = toStyleProperties.join( ', ' );\n\t\t\ttoProps.styles['will-change'] = toStyleProperties.join( ', ' );\n\n\t\t\t// Build up our custom CSS. We need to override inline styles\n\t\t\t// so we need to make our styles vErY IMPORTANT!1!!\n\t\t\tlet fromCSS = Object.keys( fromProps.styles ).map( propertyName => {\n\t\t\t\treturn propertyName + ': ' + fromProps.styles[propertyName] + ' !important;';\n\t\t\t} ).join( '' );\n\n\t\t\tlet toCSS = Object.keys( toProps.styles ).map( propertyName => {\n\t\t\t\treturn propertyName + ': ' + toProps.styles[propertyName] + ' !important;';\n\t\t\t} ).join( '' );\n\n\t\t\tcss = \t'[data-auto-animate-target=\"'+ id +'\"] {'+ fromCSS +'}' +\n\t\t\t\t\t'[data-auto-animate=\"running\"] [data-auto-animate-target=\"'+ id +'\"] {'+ toCSS +'}';\n\n\t\t}\n\n\t\treturn css;\n\n\t}\n\n\t/**\n\t * Returns the auto-animate options for the given element.\n\t *\n\t * @param {HTMLElement} element Element to pick up options\n\t * from, either a slide or an animation target\n\t * @param {Object} [inheritedOptions] Optional set of existing\n\t * options\n\t */\n\tgetAutoAnimateOptions( element, inheritedOptions ) {\n\n\t\tlet options = {\n\t\t\teasing: this.Reveal.getConfig().autoAnimateEasing,\n\t\t\tduration: this.Reveal.getConfig().autoAnimateDuration,\n\t\t\tdelay: 0\n\t\t};\n\n\t\toptions = extend( options, inheritedOptions );\n\n\t\t// Inherit options from parent elements\n\t\tif( element.parentNode ) {\n\t\t\tlet autoAnimatedParent = closest( element.parentNode, '[data-auto-animate-target]' );\n\t\t\tif( autoAnimatedParent ) {\n\t\t\t\toptions = this.getAutoAnimateOptions( autoAnimatedParent, options );\n\t\t\t}\n\t\t}\n\n\t\tif( element.dataset.autoAnimateEasing ) {\n\t\t\toptions.easing = element.dataset.autoAnimateEasing;\n\t\t}\n\n\t\tif( element.dataset.autoAnimateDuration ) {\n\t\t\toptions.duration = parseFloat( element.dataset.autoAnimateDuration );\n\t\t}\n\n\t\tif( element.dataset.autoAnimateDelay ) {\n\t\t\toptions.delay = parseFloat( element.dataset.autoAnimateDelay );\n\t\t}\n\n\t\treturn options;\n\n\t}\n\n\t/**\n\t * Returns an object containing all of the properties\n\t * that can be auto-animated for the given element and\n\t * their current computed values.\n\t *\n\t * @param {String} direction 'from' or 'to'\n\t */\n\tgetAutoAnimatableProperties( direction, element, elementOptions ) {\n\n\t\tlet config = this.Reveal.getConfig();\n\n\t\tlet properties = { styles: [] };\n\n\t\t// Position and size\n\t\tif( elementOptions.translate !== false || elementOptions.scale !== false ) {\n\t\t\tlet bounds;\n\n\t\t\t// Custom auto-animate may optionally return a custom tailored\n\t\t\t// measurement function\n\t\t\tif( typeof elementOptions.measure === 'function' ) {\n\t\t\t\tbounds = elementOptions.measure( element );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tif( config.center ) {\n\t\t\t\t\t// More precise, but breaks when used in combination\n\t\t\t\t\t// with zoom for scaling the deck ¯\\_(ツ)_/¯\n\t\t\t\t\tbounds = element.getBoundingClientRect();\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tlet scale = this.Reveal.getScale();\n\t\t\t\t\tbounds = {\n\t\t\t\t\t\tx: element.offsetLeft * scale,\n\t\t\t\t\t\ty: element.offsetTop * scale,\n\t\t\t\t\t\twidth: element.offsetWidth * scale,\n\t\t\t\t\t\theight: element.offsetHeight * scale\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tproperties.x = bounds.x;\n\t\t\tproperties.y = bounds.y;\n\t\t\tproperties.width = bounds.width;\n\t\t\tproperties.height = bounds.height;\n\t\t}\n\n\t\tconst computedStyles = getComputedStyle( element );\n\n\t\t// CSS styles\n\t\t( elementOptions.styles || config.autoAnimateStyles ).forEach( style => {\n\t\t\tlet value;\n\n\t\t\t// `style` is either the property name directly, or an object\n\t\t\t// definition of a style property\n\t\t\tif( typeof style === 'string' ) style = { property: style };\n\n\t\t\tif( typeof style.from !== 'undefined' && direction === 'from' ) {\n\t\t\t\tvalue = { value: style.from, explicitValue: true };\n\t\t\t}\n\t\t\telse if( typeof style.to !== 'undefined' && direction === 'to' ) {\n\t\t\t\tvalue = { value: style.to, explicitValue: true };\n\t\t\t}\n\t\t\telse {\n\t\t\t\tvalue = computedStyles[style.property];\n\t\t\t}\n\n\t\t\tif( value !== '' ) {\n\t\t\t\tproperties.styles[style.property] = value;\n\t\t\t}\n\t\t} );\n\n\t\treturn properties;\n\n\t}\n\n\t/**\n\t * Get a list of all element pairs that we can animate\n\t * between the given slides.\n\t *\n\t * @param {HTMLElement} fromSlide\n\t * @param {HTMLElement} toSlide\n\t *\n\t * @return {Array} Each value is an array where [0] is\n\t * the element we're animating from and [1] is the\n\t * element we're animating to\n\t */\n\tgetAutoAnimatableElements( fromSlide, toSlide ) {\n\n\t\tlet matcher = typeof this.Reveal.getConfig().autoAnimateMatcher === 'function' ? this.Reveal.getConfig().autoAnimateMatcher : this.getAutoAnimatePairs;\n\n\t\tlet pairs = matcher.call( this, fromSlide, toSlide );\n\n\t\tlet reserved = [];\n\n\t\t// Remove duplicate pairs\n\t\treturn pairs.filter( ( pair, index ) => {\n\t\t\tif( reserved.indexOf( pair.to ) === -1 ) {\n\t\t\t\treserved.push( pair.to );\n\t\t\t\treturn true;\n\t\t\t}\n\t\t} );\n\n\t}\n\n\t/**\n\t * Identifies matching elements between slides.\n\t *\n\t * You can specify a custom matcher function by using\n\t * the `autoAnimateMatcher` config option.\n\t */\n\tgetAutoAnimatePairs( fromSlide, toSlide ) {\n\n\t\tlet pairs = [];\n\n\t\tconst codeNodes = 'pre';\n\t\tconst textNodes = 'h1, h2, h3, h4, h5, h6, p, li';\n\t\tconst mediaNodes = 'img, video, iframe';\n\n\t\t// Eplicit matches via data-id\n\t\tthis.findAutoAnimateMatches( pairs, fromSlide, toSlide, '[data-id]', node => {\n\t\t\treturn node.nodeName + ':::' + node.getAttribute( 'data-id' );\n\t\t} );\n\n\t\t// Text\n\t\tthis.findAutoAnimateMatches( pairs, fromSlide, toSlide, textNodes, node => {\n\t\t\treturn node.nodeName + ':::' + node.innerText;\n\t\t} );\n\n\t\t// Media\n\t\tthis.findAutoAnimateMatches( pairs, fromSlide, toSlide, mediaNodes, node => {\n\t\t\treturn node.nodeName + ':::' + ( node.getAttribute( 'src' ) || node.getAttribute( 'data-src' ) );\n\t\t} );\n\n\t\t// Code\n\t\tthis.findAutoAnimateMatches( pairs, fromSlide, toSlide, codeNodes, node => {\n\t\t\treturn node.nodeName + ':::' + node.innerText;\n\t\t} );\n\n\t\tpairs.forEach( pair => {\n\n\t\t\t// Disable scale transformations on text nodes, we transition\n\t\t\t// each individual text property instead\n\t\t\tif( matches( pair.from, textNodes ) ) {\n\t\t\t\tpair.options = { scale: false };\n\t\t\t}\n\t\t\t// Animate individual lines of code\n\t\t\telse if( matches( pair.from, codeNodes ) ) {\n\n\t\t\t\t// Transition the code block's width and height instead of scaling\n\t\t\t\t// to prevent its content from being squished\n\t\t\t\tpair.options = { scale: false, styles: [ 'width', 'height' ] };\n\n\t\t\t\t// Lines of code\n\t\t\t\tthis.findAutoAnimateMatches( pairs, pair.from, pair.to, '.hljs .hljs-ln-code', node => {\n\t\t\t\t\treturn node.textContent;\n\t\t\t\t}, {\n\t\t\t\t\tscale: false,\n\t\t\t\t\tstyles: [],\n\t\t\t\t\tmeasure: this.getLocalBoundingBox.bind( this )\n\t\t\t\t} );\n\n\t\t\t\t// Line numbers\n\t\t\t\tthis.findAutoAnimateMatches( pairs, pair.from, pair.to, '.hljs .hljs-ln-line[data-line-number]', node => {\n\t\t\t\t\treturn node.getAttribute( 'data-line-number' );\n\t\t\t\t}, {\n\t\t\t\t\tscale: false,\n\t\t\t\t\tstyles: [ 'width' ],\n\t\t\t\t\tmeasure: this.getLocalBoundingBox.bind( this )\n\t\t\t\t} );\n\n\t\t\t}\n\n\t\t}, this );\n\n\t\treturn pairs;\n\n\t}\n\n\t/**\n\t * Helper method which returns a bounding box based on\n\t * the given elements offset coordinates.\n\t *\n\t * @param {HTMLElement} element\n\t * @return {Object} x, y, width, height\n\t */\n\tgetLocalBoundingBox( element ) {\n\n\t\tconst presentationScale = this.Reveal.getScale();\n\n\t\treturn {\n\t\t\tx: Math.round( ( element.offsetLeft * presentationScale ) * 100 ) / 100,\n\t\t\ty: Math.round( ( element.offsetTop * presentationScale ) * 100 ) / 100,\n\t\t\twidth: Math.round( ( element.offsetWidth * presentationScale ) * 100 ) / 100,\n\t\t\theight: Math.round( ( element.offsetHeight * presentationScale ) * 100 ) / 100\n\t\t};\n\n\t}\n\n\t/**\n\t * Finds matching elements between two slides.\n\t *\n\t * @param {Array} pairs \tList of pairs to push matches to\n\t * @param {HTMLElement} fromScope Scope within the from element exists\n\t * @param {HTMLElement} toScope Scope within the to element exists\n\t * @param {String} selector CSS selector of the element to match\n\t * @param {Function} serializer A function that accepts an element and returns\n\t * a stringified ID based on its contents\n\t * @param {Object} animationOptions Optional config options for this pair\n\t */\n\tfindAutoAnimateMatches( pairs, fromScope, toScope, selector, serializer, animationOptions ) {\n\n\t\tlet fromMatches = {};\n\t\tlet toMatches = {};\n\n\t\t[].slice.call( fromScope.querySelectorAll( selector ) ).forEach( ( element, i ) => {\n\t\t\tconst key = serializer( element );\n\t\t\tif( typeof key === 'string' && key.length ) {\n\t\t\t\tfromMatches[key] = fromMatches[key] || [];\n\t\t\t\tfromMatches[key].push( element );\n\t\t\t}\n\t\t} );\n\n\t\t[].slice.call( toScope.querySelectorAll( selector ) ).forEach( ( element, i ) => {\n\t\t\tconst key = serializer( element );\n\t\t\ttoMatches[key] = toMatches[key] || [];\n\t\t\ttoMatches[key].push( element );\n\n\t\t\tlet fromElement;\n\n\t\t\t// Retrieve the 'from' element\n\t\t\tif( fromMatches[key] ) {\n\t\t\t\tconst pimaryIndex = toMatches[key].length - 1;\n\t\t\t\tconst secondaryIndex = fromMatches[key].length - 1;\n\n\t\t\t\t// If there are multiple identical from elements, retrieve\n\t\t\t\t// the one at the same index as our to-element.\n\t\t\t\tif( fromMatches[key][ pimaryIndex ] ) {\n\t\t\t\t\tfromElement = fromMatches[key][ pimaryIndex ];\n\t\t\t\t\tfromMatches[key][ pimaryIndex ] = null;\n\t\t\t\t}\n\t\t\t\t// If there are no matching from-elements at the same index,\n\t\t\t\t// use the last one.\n\t\t\t\telse if( fromMatches[key][ secondaryIndex ] ) {\n\t\t\t\t\tfromElement = fromMatches[key][ secondaryIndex ];\n\t\t\t\t\tfromMatches[key][ secondaryIndex ] = null;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// If we've got a matching pair, push it to the list of pairs\n\t\t\tif( fromElement ) {\n\t\t\t\tpairs.push({\n\t\t\t\t\tfrom: fromElement,\n\t\t\t\t\tto: element,\n\t\t\t\t\toptions: animationOptions\n\t\t\t\t});\n\t\t\t}\n\t\t} );\n\n\t}\n\n\t/**\n\t * Returns a all elements within the given scope that should\n\t * be considered unmatched in an auto-animate transition. If\n\t * fading of unmatched elements is turned on, these elements\n\t * will fade when going between auto-animate slides.\n\t *\n\t * Note that parents of auto-animate targets are NOT considerd\n\t * unmatched since fading them would break the auto-animation.\n\t *\n\t * @param {HTMLElement} rootElement\n\t * @return {Array}\n\t */\n\tgetUnmatchedAutoAnimateElements( rootElement ) {\n\n\t\treturn [].slice.call( rootElement.children ).reduce( ( result, element ) => {\n\n\t\t\tconst containsAnimatedElements = element.querySelector( '[data-auto-animate-target]' );\n\n\t\t\t// The element is unmatched if\n\t\t\t// - It is not an auto-animate target\n\t\t\t// - It does not contain any auto-animate targets\n\t\t\tif( !element.hasAttribute( 'data-auto-animate-target' ) && !containsAnimatedElements ) {\n\t\t\t\tresult.push( element );\n\t\t\t}\n\n\t\t\tif( element.querySelector( '[data-auto-animate-target]' ) ) {\n\t\t\t\tresult = result.concat( this.getUnmatchedAutoAnimateElements( element ) );\n\t\t\t}\n\n\t\t\treturn result;\n\n\t\t}, [] );\n\n\t}\n\n}\n","import { extend, queryAll } from '../utils/util.js'\n\n/**\n * Handles sorting and navigation of slide fragments.\n * Fragments are elements within a slide that are\n * revealed/animated incrementally.\n */\nexport default class Fragments {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tif( config.fragments === false ) {\n\t\t\tthis.disable();\n\t\t}\n\t\telse if( oldConfig.fragments === false ) {\n\t\t\tthis.enable();\n\t\t}\n\n\t}\n\n\t/**\n\t * If fragments are disabled in the deck, they should all be\n\t * visible rather than stepped through.\n\t */\n\tdisable() {\n\n\t\tqueryAll( this.Reveal.getSlidesElement(), '.fragment' ).forEach( element => {\n\t\t\telement.classList.add( 'visible' );\n\t\t\telement.classList.remove( 'current-fragment' );\n\t\t} );\n\n\t}\n\n\t/**\n\t * Reverse of #disable(). Only called if fragments have\n\t * previously been disabled.\n\t */\n\tenable() {\n\n\t\tqueryAll( this.Reveal.getSlidesElement(), '.fragment' ).forEach( element => {\n\t\t\telement.classList.remove( 'visible' );\n\t\t\telement.classList.remove( 'current-fragment' );\n\t\t} );\n\n\t}\n\n\t/**\n\t * Returns an object describing the available fragment\n\t * directions.\n\t *\n\t * @return {{prev: boolean, next: boolean}}\n\t */\n\tavailableRoutes() {\n\n\t\tlet currentSlide = this.Reveal.getCurrentSlide();\n\t\tif( currentSlide && this.Reveal.getConfig().fragments ) {\n\t\t\tlet fragments = currentSlide.querySelectorAll( '.fragment:not(.disabled)' );\n\t\t\tlet hiddenFragments = currentSlide.querySelectorAll( '.fragment:not(.disabled):not(.visible)' );\n\n\t\t\treturn {\n\t\t\t\tprev: fragments.length - hiddenFragments.length > 0,\n\t\t\t\tnext: !!hiddenFragments.length\n\t\t\t};\n\t\t}\n\t\telse {\n\t\t\treturn { prev: false, next: false };\n\t\t}\n\n\t}\n\n\t/**\n\t * Return a sorted fragments list, ordered by an increasing\n\t * \"data-fragment-index\" attribute.\n\t *\n\t * Fragments will be revealed in the order that they are returned by\n\t * this function, so you can use the index attributes to control the\n\t * order of fragment appearance.\n\t *\n\t * To maintain a sensible default fragment order, fragments are presumed\n\t * to be passed in document order. This function adds a \"fragment-index\"\n\t * attribute to each node if such an attribute is not already present,\n\t * and sets that attribute to an integer value which is the position of\n\t * the fragment within the fragments list.\n\t *\n\t * @param {object[]|*} fragments\n\t * @param {boolean} grouped If true the returned array will contain\n\t * nested arrays for all fragments with the same index\n\t * @return {object[]} sorted Sorted array of fragments\n\t */\n\tsort( fragments, grouped = false ) {\n\n\t\tfragments = Array.from( fragments );\n\n\t\tlet ordered = [],\n\t\t\tunordered = [],\n\t\t\tsorted = [];\n\n\t\t// Group ordered and unordered elements\n\t\tfragments.forEach( fragment => {\n\t\t\tif( fragment.hasAttribute( 'data-fragment-index' ) ) {\n\t\t\t\tlet index = parseInt( fragment.getAttribute( 'data-fragment-index' ), 10 );\n\n\t\t\t\tif( !ordered[index] ) {\n\t\t\t\t\tordered[index] = [];\n\t\t\t\t}\n\n\t\t\t\tordered[index].push( fragment );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tunordered.push( [ fragment ] );\n\t\t\t}\n\t\t} );\n\n\t\t// Append fragments without explicit indices in their\n\t\t// DOM order\n\t\tordered = ordered.concat( unordered );\n\n\t\t// Manually count the index up per group to ensure there\n\t\t// are no gaps\n\t\tlet index = 0;\n\n\t\t// Push all fragments in their sorted order to an array,\n\t\t// this flattens the groups\n\t\tordered.forEach( group => {\n\t\t\tgroup.forEach( fragment => {\n\t\t\t\tsorted.push( fragment );\n\t\t\t\tfragment.setAttribute( 'data-fragment-index', index );\n\t\t\t} );\n\n\t\t\tindex ++;\n\t\t} );\n\n\t\treturn grouped === true ? ordered : sorted;\n\n\t}\n\n\t/**\n\t * Sorts and formats all of fragments in the\n\t * presentation.\n\t */\n\tsortAll() {\n\n\t\tthis.Reveal.getHorizontalSlides().forEach( horizontalSlide => {\n\n\t\t\tlet verticalSlides = queryAll( horizontalSlide, 'section' );\n\t\t\tverticalSlides.forEach( ( verticalSlide, y ) => {\n\n\t\t\t\tthis.sort( verticalSlide.querySelectorAll( '.fragment' ) );\n\n\t\t\t}, this );\n\n\t\t\tif( verticalSlides.length === 0 ) this.sort( horizontalSlide.querySelectorAll( '.fragment' ) );\n\n\t\t} );\n\n\t}\n\n\t/**\n\t * Refreshes the fragments on the current slide so that they\n\t * have the appropriate classes (.visible + .current-fragment).\n\t *\n\t * @param {number} [index] The index of the current fragment\n\t * @param {array} [fragments] Array containing all fragments\n\t * in the current slide\n\t *\n\t * @return {{shown: array, hidden: array}}\n\t */\n\tupdate( index, fragments ) {\n\n\t\tlet changedFragments = {\n\t\t\tshown: [],\n\t\t\thidden: []\n\t\t};\n\n\t\tlet currentSlide = this.Reveal.getCurrentSlide();\n\t\tif( currentSlide && this.Reveal.getConfig().fragments ) {\n\n\t\t\tfragments = fragments || this.sort( currentSlide.querySelectorAll( '.fragment' ) );\n\n\t\t\tif( fragments.length ) {\n\n\t\t\t\tlet maxIndex = 0;\n\n\t\t\t\tif( typeof index !== 'number' ) {\n\t\t\t\t\tlet currentFragment = this.sort( currentSlide.querySelectorAll( '.fragment.visible' ) ).pop();\n\t\t\t\t\tif( currentFragment ) {\n\t\t\t\t\t\tindex = parseInt( currentFragment.getAttribute( 'data-fragment-index' ) || 0, 10 );\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\tArray.from( fragments ).forEach( ( el, i ) => {\n\n\t\t\t\t\tif( el.hasAttribute( 'data-fragment-index' ) ) {\n\t\t\t\t\t\ti = parseInt( el.getAttribute( 'data-fragment-index' ), 10 );\n\t\t\t\t\t}\n\n\t\t\t\t\tmaxIndex = Math.max( maxIndex, i );\n\n\t\t\t\t\t// Visible fragments\n\t\t\t\t\tif( i <= index ) {\n\t\t\t\t\t\tlet wasVisible = el.classList.contains( 'visible' )\n\t\t\t\t\t\tel.classList.add( 'visible' );\n\t\t\t\t\t\tel.classList.remove( 'current-fragment' );\n\n\t\t\t\t\t\tif( i === index ) {\n\t\t\t\t\t\t\t// Announce the fragments one by one to the Screen Reader\n\t\t\t\t\t\t\tthis.Reveal.announceStatus( this.Reveal.getStatusText( el ) );\n\n\t\t\t\t\t\t\tel.classList.add( 'current-fragment' );\n\t\t\t\t\t\t\tthis.Reveal.slideContent.startEmbeddedContent( el );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tif( !wasVisible ) {\n\t\t\t\t\t\t\tchangedFragments.shown.push( el )\n\t\t\t\t\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\t\t\t\t\ttarget: el,\n\t\t\t\t\t\t\t\ttype: 'visible',\n\t\t\t\t\t\t\t\tbubbles: false\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\t// Hidden fragments\n\t\t\t\t\telse {\n\t\t\t\t\t\tlet wasVisible = el.classList.contains( 'visible' )\n\t\t\t\t\t\tel.classList.remove( 'visible' );\n\t\t\t\t\t\tel.classList.remove( 'current-fragment' );\n\n\t\t\t\t\t\tif( wasVisible ) {\n\t\t\t\t\t\t\tthis.Reveal.slideContent.stopEmbeddedContent( el );\n\t\t\t\t\t\t\tchangedFragments.hidden.push( el );\n\t\t\t\t\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\t\t\t\t\ttarget: el,\n\t\t\t\t\t\t\t\ttype: 'hidden',\n\t\t\t\t\t\t\t\tbubbles: false\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\t// Write the current fragment index to the slide
.\n\t\t\t\t// This can be used by end users to apply styles based on\n\t\t\t\t// the current fragment index.\n\t\t\t\tindex = typeof index === 'number' ? index : -1;\n\t\t\t\tindex = Math.max( Math.min( index, maxIndex ), -1 );\n\t\t\t\tcurrentSlide.setAttribute( 'data-fragment', index );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn changedFragments;\n\n\t}\n\n\t/**\n\t * Formats the fragments on the given slide so that they have\n\t * valid indices. Call this if fragments are changed in the DOM\n\t * after reveal.js has already initialized.\n\t *\n\t * @param {HTMLElement} slide\n\t * @return {Array} a list of the HTML fragments that were synced\n\t */\n\tsync( slide = this.Reveal.getCurrentSlide() ) {\n\n\t\treturn this.sort( slide.querySelectorAll( '.fragment' ) );\n\n\t}\n\n\t/**\n\t * Navigate to the specified slide fragment.\n\t *\n\t * @param {?number} index The index of the fragment that\n\t * should be shown, -1 means all are invisible\n\t * @param {number} offset Integer offset to apply to the\n\t * fragment index\n\t *\n\t * @return {boolean} true if a change was made in any\n\t * fragments visibility as part of this call\n\t */\n\tgoto( index, offset = 0 ) {\n\n\t\tlet currentSlide = this.Reveal.getCurrentSlide();\n\t\tif( currentSlide && this.Reveal.getConfig().fragments ) {\n\n\t\t\tlet fragments = this.sort( currentSlide.querySelectorAll( '.fragment:not(.disabled)' ) );\n\t\t\tif( fragments.length ) {\n\n\t\t\t\t// If no index is specified, find the current\n\t\t\t\tif( typeof index !== 'number' ) {\n\t\t\t\t\tlet lastVisibleFragment = this.sort( currentSlide.querySelectorAll( '.fragment:not(.disabled).visible' ) ).pop();\n\n\t\t\t\t\tif( lastVisibleFragment ) {\n\t\t\t\t\t\tindex = parseInt( lastVisibleFragment.getAttribute( 'data-fragment-index' ) || 0, 10 );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tindex = -1;\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Apply the offset if there is one\n\t\t\t\tindex += offset;\n\n\t\t\t\tlet changedFragments = this.update( index, fragments );\n\n\t\t\t\tif( changedFragments.hidden.length ) {\n\t\t\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\t\t\ttype: 'fragmenthidden',\n\t\t\t\t\t\tdata: {\n\t\t\t\t\t\t\tfragment: changedFragments.hidden[0],\n\t\t\t\t\t\t\tfragments: changedFragments.hidden\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\n\t\t\t\tif( changedFragments.shown.length ) {\n\t\t\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\t\t\ttype: 'fragmentshown',\n\t\t\t\t\t\tdata: {\n\t\t\t\t\t\t\tfragment: changedFragments.shown[0],\n\t\t\t\t\t\t\tfragments: changedFragments.shown\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\n\t\t\t\tthis.Reveal.controls.update();\n\t\t\t\tthis.Reveal.progress.update();\n\n\t\t\t\tif( this.Reveal.getConfig().fragmentInURL ) {\n\t\t\t\t\tthis.Reveal.location.writeURL();\n\t\t\t\t}\n\n\t\t\t\treturn !!( changedFragments.shown.length || changedFragments.hidden.length );\n\n\t\t\t}\n\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\t/**\n\t * Navigate to the next slide fragment.\n\t *\n\t * @return {boolean} true if there was a next fragment,\n\t * false otherwise\n\t */\n\tnext() {\n\n\t\treturn this.goto( null, 1 );\n\n\t}\n\n\t/**\n\t * Navigate to the previous slide fragment.\n\t *\n\t * @return {boolean} true if there was a previous fragment,\n\t * false otherwise\n\t */\n\tprev() {\n\n\t\treturn this.goto( null, -1 );\n\n\t}\n\n}","import { SLIDES_SELECTOR } from '../utils/constants.js'\nimport { extend, queryAll, transformElement } from '../utils/util.js'\n\n/**\n * Handles all logic related to the overview mode\n * (birds-eye view of all slides).\n */\nexport default class Overview {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\tthis.active = false;\n\n\t\tthis.onSlideClicked = this.onSlideClicked.bind( this );\n\n\t}\n\n\t/**\n\t * Displays the overview of slides (quick nav) by scaling\n\t * down and arranging all slide elements.\n\t */\n\tactivate() {\n\n\t\t// Only proceed if enabled in config\n\t\tif( this.Reveal.getConfig().overview && !this.isActive() ) {\n\n\t\t\tthis.active = true;\n\n\t\t\tthis.Reveal.getRevealElement().classList.add( 'overview' );\n\n\t\t\t// Don't auto-slide while in overview mode\n\t\t\tthis.Reveal.cancelAutoSlide();\n\n\t\t\t// Move the backgrounds element into the slide container to\n\t\t\t// that the same scaling is applied\n\t\t\tthis.Reveal.getSlidesElement().appendChild( this.Reveal.getBackgroundsElement() );\n\n\t\t\t// Clicking on an overview slide navigates to it\n\t\t\tqueryAll( this.Reveal.getRevealElement(), SLIDES_SELECTOR ).forEach( slide => {\n\t\t\t\tif( !slide.classList.contains( 'stack' ) ) {\n\t\t\t\t\tslide.addEventListener( 'click', this.onSlideClicked, true );\n\t\t\t\t}\n\t\t\t} );\n\n\t\t\t// Calculate slide sizes\n\t\t\tconst margin = 70;\n\t\t\tconst slideSize = this.Reveal.getComputedSlideSize();\n\t\t\tthis.overviewSlideWidth = slideSize.width + margin;\n\t\t\tthis.overviewSlideHeight = slideSize.height + margin;\n\n\t\t\t// Reverse in RTL mode\n\t\t\tif( this.Reveal.getConfig().rtl ) {\n\t\t\t\tthis.overviewSlideWidth = -this.overviewSlideWidth;\n\t\t\t}\n\n\t\t\tthis.Reveal.updateSlidesVisibility();\n\n\t\t\tthis.layout();\n\t\t\tthis.update();\n\n\t\t\tthis.Reveal.layout();\n\n\t\t\tconst indices = this.Reveal.getIndices();\n\n\t\t\t// Notify observers of the overview showing\n\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\ttype: 'overviewshown',\n\t\t\t\tdata: {\n\t\t\t\t\t'indexh': indices.h,\n\t\t\t\t\t'indexv': indices.v,\n\t\t\t\t\t'currentSlide': this.Reveal.getCurrentSlide()\n\t\t\t\t}\n\t\t\t});\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Uses CSS transforms to position all slides in a grid for\n\t * display inside of the overview mode.\n\t */\n\tlayout() {\n\n\t\t// Layout slides\n\t\tthis.Reveal.getHorizontalSlides().forEach( ( hslide, h ) => {\n\t\t\thslide.setAttribute( 'data-index-h', h );\n\t\t\ttransformElement( hslide, 'translate3d(' + ( h * this.overviewSlideWidth ) + 'px, 0, 0)' );\n\n\t\t\tif( hslide.classList.contains( 'stack' ) ) {\n\n\t\t\t\tqueryAll( hslide, 'section' ).forEach( ( vslide, v ) => {\n\t\t\t\t\tvslide.setAttribute( 'data-index-h', h );\n\t\t\t\t\tvslide.setAttribute( 'data-index-v', v );\n\n\t\t\t\t\ttransformElement( vslide, 'translate3d(0, ' + ( v * this.overviewSlideHeight ) + 'px, 0)' );\n\t\t\t\t} );\n\n\t\t\t}\n\t\t} );\n\n\t\t// Layout slide backgrounds\n\t\tArray.from( this.Reveal.getBackgroundsElement().childNodes ).forEach( ( hbackground, h ) => {\n\t\t\ttransformElement( hbackground, 'translate3d(' + ( h * this.overviewSlideWidth ) + 'px, 0, 0)' );\n\n\t\t\tqueryAll( hbackground, '.slide-background' ).forEach( ( vbackground, v ) => {\n\t\t\t\ttransformElement( vbackground, 'translate3d(0, ' + ( v * this.overviewSlideHeight ) + 'px, 0)' );\n\t\t\t} );\n\t\t} );\n\n\t}\n\n\t/**\n\t * Moves the overview viewport to the current slides.\n\t * Called each time the current slide changes.\n\t */\n\tupdate() {\n\n\t\tconst vmin = Math.min( window.innerWidth, window.innerHeight );\n\t\tconst scale = Math.max( vmin / 5, 150 ) / vmin;\n\t\tconst indices = this.Reveal.getIndices();\n\n\t\tthis.Reveal.transformSlides( {\n\t\t\toverview: [\n\t\t\t\t'scale('+ scale +')',\n\t\t\t\t'translateX('+ ( -indices.h * this.overviewSlideWidth ) +'px)',\n\t\t\t\t'translateY('+ ( -indices.v * this.overviewSlideHeight ) +'px)'\n\t\t\t].join( ' ' )\n\t\t} );\n\n\t}\n\n\t/**\n\t * Exits the slide overview and enters the currently\n\t * active slide.\n\t */\n\tdeactivate() {\n\n\t\t// Only proceed if enabled in config\n\t\tif( this.Reveal.getConfig().overview ) {\n\n\t\t\tthis.active = false;\n\n\t\t\tthis.Reveal.getRevealElement().classList.remove( 'overview' );\n\n\t\t\t// Temporarily add a class so that transitions can do different things\n\t\t\t// depending on whether they are exiting/entering overview, or just\n\t\t\t// moving from slide to slide\n\t\t\tthis.Reveal.getRevealElement().classList.add( 'overview-deactivating' );\n\n\t\t\tsetTimeout( () => {\n\t\t\t\tthis.Reveal.getRevealElement().classList.remove( 'overview-deactivating' );\n\t\t\t}, 1 );\n\n\t\t\t// Move the background element back out\n\t\t\tthis.Reveal.getRevealElement().appendChild( this.Reveal.getBackgroundsElement() );\n\n\t\t\t// Clean up changes made to slides\n\t\t\tqueryAll( this.Reveal.getRevealElement(), SLIDES_SELECTOR ).forEach( slide => {\n\t\t\t\ttransformElement( slide, '' );\n\n\t\t\t\tslide.removeEventListener( 'click', this.onSlideClicked, true );\n\t\t\t} );\n\n\t\t\t// Clean up changes made to backgrounds\n\t\t\tqueryAll( this.Reveal.getBackgroundsElement(), '.slide-background' ).forEach( background => {\n\t\t\t\ttransformElement( background, '' );\n\t\t\t} );\n\n\t\t\tthis.Reveal.transformSlides( { overview: '' } );\n\n\t\t\tconst indices = this.Reveal.getIndices();\n\n\t\t\tthis.Reveal.slide( indices.h, indices.v );\n\t\t\tthis.Reveal.layout();\n\t\t\tthis.Reveal.cueAutoSlide();\n\n\t\t\t// Notify observers of the overview hiding\n\t\t\tthis.Reveal.dispatchEvent({\n\t\t\t\ttype: 'overviewhidden',\n\t\t\t\tdata: {\n\t\t\t\t\t'indexh': indices.h,\n\t\t\t\t\t'indexv': indices.v,\n\t\t\t\t\t'currentSlide': this.Reveal.getCurrentSlide()\n\t\t\t\t}\n\t\t\t});\n\n\t\t}\n\t}\n\n\t/**\n\t * Toggles the slide overview mode on and off.\n\t *\n\t * @param {Boolean} [override] Flag which overrides the\n\t * toggle logic and forcibly sets the desired state. True means\n\t * overview is open, false means it's closed.\n\t */\n\ttoggle( override ) {\n\n\t\tif( typeof override === 'boolean' ) {\n\t\t\toverride ? this.activate() : this.deactivate();\n\t\t}\n\t\telse {\n\t\t\tthis.isActive() ? this.deactivate() : this.activate();\n\t\t}\n\n\t}\n\n\t/**\n\t * Checks if the overview is currently active.\n\t *\n\t * @return {Boolean} true if the overview is active,\n\t * false otherwise\n\t */\n\tisActive() {\n\n\t\treturn this.active;\n\n\t}\n\n\t/**\n\t * Invoked when a slide is and we're in the overview.\n\t *\n\t * @param {object} event\n\t */\n\tonSlideClicked( event ) {\n\n\t\tif( this.isActive() ) {\n\t\t\tevent.preventDefault();\n\n\t\t\tlet element = event.target;\n\n\t\t\twhile( element && !element.nodeName.match( /section/gi ) ) {\n\t\t\t\telement = element.parentNode;\n\t\t\t}\n\n\t\t\tif( element && !element.classList.contains( 'disabled' ) ) {\n\n\t\t\t\tthis.deactivate();\n\n\t\t\t\tif( element.nodeName.match( /section/gi ) ) {\n\t\t\t\t\tlet h = parseInt( element.getAttribute( 'data-index-h' ), 10 ),\n\t\t\t\t\t\tv = parseInt( element.getAttribute( 'data-index-v' ), 10 );\n\n\t\t\t\t\tthis.Reveal.slide( h, v );\n\t\t\t\t}\n\n\t\t\t}\n\t\t}\n\n\t}\n\n}","import { enterFullscreen } from '../utils/util.js'\n\n/**\n * Handles all reveal.js keyboard interactions.\n */\nexport default class Keyboard {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\t// A key:value map of keyboard keys and descriptions of\n\t\t// the actions they trigger\n\t\tthis.shortcuts = {};\n\n\t\t// Holds custom key code mappings\n\t\tthis.bindings = {};\n\n\t\tthis.onDocumentKeyDown = this.onDocumentKeyDown.bind( this );\n\t\tthis.onDocumentKeyPress = this.onDocumentKeyPress.bind( this );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tif( config.navigationMode === 'linear' ) {\n\t\t\tthis.shortcuts['→ , ↓ , SPACE , N , L , J'] = 'Next slide';\n\t\t\tthis.shortcuts['← , ↑ , P , H , K'] = 'Previous slide';\n\t\t}\n\t\telse {\n\t\t\tthis.shortcuts['N , SPACE'] = 'Next slide';\n\t\t\tthis.shortcuts['P , Shift SPACE'] = 'Previous slide';\n\t\t\tthis.shortcuts['← , H'] = 'Navigate left';\n\t\t\tthis.shortcuts['→ , L'] = 'Navigate right';\n\t\t\tthis.shortcuts['↑ , K'] = 'Navigate up';\n\t\t\tthis.shortcuts['↓ , J'] = 'Navigate down';\n\t\t}\n\n\t\tthis.shortcuts['Alt + ←/↑/→/↓'] = 'Navigate without fragments';\n\t\tthis.shortcuts['Shift + ←/↑/→/↓'] = 'Jump to first/last slide';\n\t\tthis.shortcuts['B , .'] = 'Pause';\n\t\tthis.shortcuts['F'] = 'Fullscreen';\n\t\tthis.shortcuts['ESC, O'] = 'Slide overview';\n\n\t}\n\n\t/**\n\t * Starts listening for keyboard events.\n\t */\n\tbind() {\n\n\t\tdocument.addEventListener( 'keydown', this.onDocumentKeyDown, false );\n\t\tdocument.addEventListener( 'keypress', this.onDocumentKeyPress, false );\n\n\t}\n\n\t/**\n\t * Stops listening for keyboard events.\n\t */\n\tunbind() {\n\n\t\tdocument.removeEventListener( 'keydown', this.onDocumentKeyDown, false );\n\t\tdocument.removeEventListener( 'keypress', this.onDocumentKeyPress, false );\n\n\t}\n\n\t/**\n\t * Add a custom key binding with optional description to\n\t * be added to the help screen.\n\t */\n\taddKeyBinding( binding, callback ) {\n\n\t\tif( typeof binding === 'object' && binding.keyCode ) {\n\t\t\tthis.bindings[binding.keyCode] = {\n\t\t\t\tcallback: callback,\n\t\t\t\tkey: binding.key,\n\t\t\t\tdescription: binding.description\n\t\t\t};\n\t\t}\n\t\telse {\n\t\t\tthis.bindings[binding] = {\n\t\t\t\tcallback: callback,\n\t\t\t\tkey: null,\n\t\t\t\tdescription: null\n\t\t\t};\n\t\t}\n\n\t}\n\n\t/**\n\t * Removes the specified custom key binding.\n\t */\n\tremoveKeyBinding( keyCode ) {\n\n\t\tdelete this.bindings[keyCode];\n\n\t}\n\n\t/**\n\t * Programmatically triggers a keyboard event\n\t *\n\t * @param {int} keyCode\n\t */\n\ttriggerKey( keyCode ) {\n\n\t\tthis.onDocumentKeyDown( { keyCode } );\n\n\t}\n\n\t/**\n\t * Registers a new shortcut to include in the help overlay\n\t *\n\t * @param {String} key\n\t * @param {String} value\n\t */\n\tregisterKeyboardShortcut( key, value ) {\n\n\t\tthis.shortcuts[key] = value;\n\n\t}\n\n\tgetShortcuts() {\n\n\t\treturn this.shortcuts;\n\n\t}\n\n\tgetBindings() {\n\n\t\treturn this.bindings;\n\n\t}\n\n\t/**\n\t * Handler for the document level 'keypress' event.\n\t *\n\t * @param {object} event\n\t */\n\tonDocumentKeyPress( event ) {\n\n\t\t// Check if the pressed key is question mark\n\t\tif( event.shiftKey && event.charCode === 63 ) {\n\t\t\tthis.Reveal.toggleHelp();\n\t\t}\n\n\t}\n\n\t/**\n\t * Handler for the document level 'keydown' event.\n\t *\n\t * @param {object} event\n\t */\n\tonDocumentKeyDown( event ) {\n\n\t\tlet config = this.Reveal.getConfig();\n\n\t\t// If there's a condition specified and it returns false,\n\t\t// ignore this event\n\t\tif( typeof config.keyboardCondition === 'function' && config.keyboardCondition(event) === false ) {\n\t\t\treturn true;\n\t\t}\n\n\t\t// If keyboardCondition is set, only capture keyboard events\n\t\t// for embedded decks when they are focused\n\t\tif( config.keyboardCondition === 'focused' && !this.Reveal.isFocused() ) {\n\t\t\treturn true;\n\t\t}\n\n\t\t// Shorthand\n\t\tlet keyCode = event.keyCode;\n\n\t\t// Remember if auto-sliding was paused so we can toggle it\n\t\tlet autoSlideWasPaused = !this.Reveal.isAutoSliding();\n\n\t\tthis.Reveal.onUserInput( event );\n\n\t\t// Is there a focused element that could be using the keyboard?\n\t\tlet activeElementIsCE = document.activeElement && document.activeElement.isContentEditable === true;\n\t\tlet activeElementIsInput = document.activeElement && document.activeElement.tagName && /input|textarea/i.test( document.activeElement.tagName );\n\t\tlet activeElementIsNotes = document.activeElement && document.activeElement.className && /speaker-notes/i.test( document.activeElement.className);\n\n\t\t// Whitelist certain modifiers for slide navigation shortcuts\n\t\tlet isNavigationKey = [32, 37, 38, 39, 40, 78, 80].indexOf( event.keyCode ) !== -1;\n\n\t\t// Prevent all other events when a modifier is pressed\n\t\tlet unusedModifier = \t!( isNavigationKey && event.shiftKey || event.altKey ) &&\n\t\t\t\t\t\t\t\t( event.shiftKey || event.altKey || event.ctrlKey || event.metaKey );\n\n\t\t// Disregard the event if there's a focused element or a\n\t\t// keyboard modifier key is present\n\t\tif( activeElementIsCE || activeElementIsInput || activeElementIsNotes || unusedModifier ) return;\n\n\t\t// While paused only allow resume keyboard events; 'b', 'v', '.'\n\t\tlet resumeKeyCodes = [66,86,190,191];\n\t\tlet key;\n\n\t\t// Custom key bindings for togglePause should be able to resume\n\t\tif( typeof config.keyboard === 'object' ) {\n\t\t\tfor( key in config.keyboard ) {\n\t\t\t\tif( config.keyboard[key] === 'togglePause' ) {\n\t\t\t\t\tresumeKeyCodes.push( parseInt( key, 10 ) );\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif( this.Reveal.isPaused() && resumeKeyCodes.indexOf( keyCode ) === -1 ) {\n\t\t\treturn false;\n\t\t}\n\n\t\t// Use linear navigation if we're configured to OR if\n\t\t// the presentation is one-dimensional\n\t\tlet useLinearMode = config.navigationMode === 'linear' || !this.Reveal.hasHorizontalSlides() || !this.Reveal.hasVerticalSlides();\n\n\t\tlet triggered = false;\n\n\t\t// 1. User defined key bindings\n\t\tif( typeof config.keyboard === 'object' ) {\n\n\t\t\tfor( key in config.keyboard ) {\n\n\t\t\t\t// Check if this binding matches the pressed key\n\t\t\t\tif( parseInt( key, 10 ) === keyCode ) {\n\n\t\t\t\t\tlet value = config.keyboard[ key ];\n\n\t\t\t\t\t// Callback function\n\t\t\t\t\tif( typeof value === 'function' ) {\n\t\t\t\t\t\tvalue.apply( null, [ event ] );\n\t\t\t\t\t}\n\t\t\t\t\t// String shortcuts to reveal.js API\n\t\t\t\t\telse if( typeof value === 'string' && typeof this.Reveal[ value ] === 'function' ) {\n\t\t\t\t\t\tthis.Reveal[ value ].call();\n\t\t\t\t\t}\n\n\t\t\t\t\ttriggered = true;\n\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}\n\n\t\t// 2. Registered custom key bindings\n\t\tif( triggered === false ) {\n\n\t\t\tfor( key in this.bindings ) {\n\n\t\t\t\t// Check if this binding matches the pressed key\n\t\t\t\tif( parseInt( key, 10 ) === keyCode ) {\n\n\t\t\t\t\tlet action = this.bindings[ key ].callback;\n\n\t\t\t\t\t// Callback function\n\t\t\t\t\tif( typeof action === 'function' ) {\n\t\t\t\t\t\taction.apply( null, [ event ] );\n\t\t\t\t\t}\n\t\t\t\t\t// String shortcuts to reveal.js API\n\t\t\t\t\telse if( typeof action === 'string' && typeof this.Reveal[ action ] === 'function' ) {\n\t\t\t\t\t\tthis.Reveal[ action ].call();\n\t\t\t\t\t}\n\n\t\t\t\t\ttriggered = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// 3. System defined key bindings\n\t\tif( triggered === false ) {\n\n\t\t\t// Assume true and try to prove false\n\t\t\ttriggered = true;\n\n\t\t\t// P, PAGE UP\n\t\t\tif( keyCode === 80 || keyCode === 33 ) {\n\t\t\t\tthis.Reveal.prev({skipFragments: event.altKey});\n\t\t\t}\n\t\t\t// N, PAGE DOWN\n\t\t\telse if( keyCode === 78 || keyCode === 34 ) {\n\t\t\t\tthis.Reveal.next({skipFragments: event.altKey});\n\t\t\t}\n\t\t\t// H, LEFT\n\t\t\telse if( keyCode === 72 || keyCode === 37 ) {\n\t\t\t\tif( event.shiftKey ) {\n\t\t\t\t\tthis.Reveal.slide( 0 );\n\t\t\t\t}\n\t\t\t\telse if( !this.Reveal.overview.isActive() && useLinearMode ) {\n\t\t\t\t\tthis.Reveal.prev({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthis.Reveal.left({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// L, RIGHT\n\t\t\telse if( keyCode === 76 || keyCode === 39 ) {\n\t\t\t\tif( event.shiftKey ) {\n\t\t\t\t\tthis.Reveal.slide( this.Reveal.getHorizontalSlides().length - 1 );\n\t\t\t\t}\n\t\t\t\telse if( !this.Reveal.overview.isActive() && useLinearMode ) {\n\t\t\t\t\tthis.Reveal.next({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthis.Reveal.right({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// K, UP\n\t\t\telse if( keyCode === 75 || keyCode === 38 ) {\n\t\t\t\tif( event.shiftKey ) {\n\t\t\t\t\tthis.Reveal.slide( undefined, 0 );\n\t\t\t\t}\n\t\t\t\telse if( !this.Reveal.overview.isActive() && useLinearMode ) {\n\t\t\t\t\tthis.Reveal.prev({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthis.Reveal.up({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// J, DOWN\n\t\t\telse if( keyCode === 74 || keyCode === 40 ) {\n\t\t\t\tif( event.shiftKey ) {\n\t\t\t\t\tthis.Reveal.slide( undefined, Number.MAX_VALUE );\n\t\t\t\t}\n\t\t\t\telse if( !this.Reveal.overview.isActive() && useLinearMode ) {\n\t\t\t\t\tthis.Reveal.next({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthis.Reveal.down({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// HOME\n\t\t\telse if( keyCode === 36 ) {\n\t\t\t\tthis.Reveal.slide( 0 );\n\t\t\t}\n\t\t\t// END\n\t\t\telse if( keyCode === 35 ) {\n\t\t\t\tthis.Reveal.slide( this.Reveal.getHorizontalSlides().length - 1 );\n\t\t\t}\n\t\t\t// SPACE\n\t\t\telse if( keyCode === 32 ) {\n\t\t\t\tif( this.Reveal.overview.isActive() ) {\n\t\t\t\t\tthis.Reveal.overview.deactivate();\n\t\t\t\t}\n\t\t\t\tif( event.shiftKey ) {\n\t\t\t\t\tthis.Reveal.prev({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthis.Reveal.next({skipFragments: event.altKey});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// TWO-SPOT, SEMICOLON, B, V, PERIOD, LOGITECH PRESENTER TOOLS \"BLACK SCREEN\" BUTTON\n\t\t\telse if( keyCode === 58 || keyCode === 59 || keyCode === 66 || keyCode === 86 || keyCode === 190 || keyCode === 191 ) {\n\t\t\t\tthis.Reveal.togglePause();\n\t\t\t}\n\t\t\t// F\n\t\t\telse if( keyCode === 70 ) {\n\t\t\t\tenterFullscreen( config.embedded ? this.Reveal.getViewportElement() : document.documentElement );\n\t\t\t}\n\t\t\t// A\n\t\t\telse if( keyCode === 65 ) {\n\t\t\t\tif ( config.autoSlideStoppable ) {\n\t\t\t\t\tthis.Reveal.toggleAutoSlide( autoSlideWasPaused );\n\t\t\t\t}\n\t\t\t}\n\t\t\telse {\n\t\t\t\ttriggered = false;\n\t\t\t}\n\n\t\t}\n\n\t\t// If the input resulted in a triggered action we should prevent\n\t\t// the browsers default behavior\n\t\tif( triggered ) {\n\t\t\tevent.preventDefault && event.preventDefault();\n\t\t}\n\t\t// ESC or O key\n\t\telse if( keyCode === 27 || keyCode === 79 ) {\n\t\t\tif( this.Reveal.closeOverlay() === false ) {\n\t\t\t\tthis.Reveal.overview.toggle();\n\t\t\t}\n\n\t\t\tevent.preventDefault && event.preventDefault();\n\t\t}\n\n\t\t// If auto-sliding is enabled we need to cue up\n\t\t// another timeout\n\t\tthis.Reveal.cueAutoSlide();\n\n\t}\n\n}","/**\n * Reads and writes the URL based on reveal.js' current state.\n */\nexport default class Location {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\t// Delays updates to the URL due to a Chrome thumbnailer bug\n\t\tthis.writeURLTimeout = 0;\n\n\t\tthis.onWindowHashChange = this.onWindowHashChange.bind( this );\n\n\t}\n\n\tbind() {\n\n\t\twindow.addEventListener( 'hashchange', this.onWindowHashChange, false );\n\n\t}\n\n\tunbind() {\n\n\t\twindow.removeEventListener( 'hashchange', this.onWindowHashChange, false );\n\n\t}\n\n\t/**\n\t * Returns the slide indices for the given hash link.\n\t *\n\t * @param {string} [hash] the hash string that we want to\n\t * find the indices for\n\t *\n\t * @returns slide indices or null\n\t */\n\tgetIndicesFromHash( hash=window.location.hash ) {\n\n\t\t// Attempt to parse the hash as either an index or name\n\t\tlet name = hash.replace( /^#\\/?/, '' );\n\t\tlet bits = name.split( '/' );\n\n\t\t// If the first bit is not fully numeric and there is a name we\n\t\t// can assume that this is a named link\n\t\tif( !/^[0-9]*$/.test( bits[0] ) && name.length ) {\n\t\t\tlet element;\n\n\t\t\tlet f;\n\n\t\t\t// Parse named links with fragments (#/named-link/2)\n\t\t\tif( /\\/[-\\d]+$/g.test( name ) ) {\n\t\t\t\tf = parseInt( name.split( '/' ).pop(), 10 );\n\t\t\t\tf = isNaN(f) ? undefined : f;\n\t\t\t\tname = name.split( '/' ).shift();\n\t\t\t}\n\n\t\t\t// Ensure the named link is a valid HTML ID attribute\n\t\t\ttry {\n\t\t\t\telement = document.getElementById( decodeURIComponent( name ) );\n\t\t\t}\n\t\t\tcatch ( error ) { }\n\n\t\t\tif( element ) {\n\t\t\t\treturn { ...this.Reveal.getIndices( element ), f };\n\t\t\t}\n\t\t}\n\t\telse {\n\t\t\tconst config = this.Reveal.getConfig();\n\t\t\tlet hashIndexBase = config.hashOneBasedIndex ? 1 : 0;\n\n\t\t\t// Read the index components of the hash\n\t\t\tlet h = ( parseInt( bits[0], 10 ) - hashIndexBase ) || 0,\n\t\t\t\tv = ( parseInt( bits[1], 10 ) - hashIndexBase ) || 0,\n\t\t\t\tf;\n\n\t\t\tif( config.fragmentInURL ) {\n\t\t\t\tf = parseInt( bits[2], 10 );\n\t\t\t\tif( isNaN( f ) ) {\n\t\t\t\t\tf = undefined;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\treturn { h, v, f };\n\t\t}\n\n\t\t// The hash couldn't be parsed or no matching named link was found\n\t\treturn null\n\n\t}\n\n\t/**\n\t * Reads the current URL (hash) and navigates accordingly.\n\t */\n\treadURL() {\n\n\t\tconst currentIndices = this.Reveal.getIndices();\n\t\tconst newIndices = this.getIndicesFromHash();\n\n\t\tif( newIndices && ( newIndices.h !== currentIndices.h || newIndices.v !== currentIndices.v || newIndices.f !== undefined ) ) {\n\t\t\tthis.Reveal.slide( newIndices.h, newIndices.v, newIndices.f );\n\t\t}\n\t\telse {\n\t\t\tthis.Reveal.slide( currentIndices.h || 0, currentIndices.v || 0 );\n\t\t}\n\n\t}\n\n\t/**\n\t * Updates the page URL (hash) to reflect the current\n\t * state.\n\t *\n\t * @param {number} delay The time in ms to wait before\n\t * writing the hash\n\t */\n\twriteURL( delay ) {\n\n\t\tlet config = this.Reveal.getConfig();\n\t\tlet currentSlide = this.Reveal.getCurrentSlide();\n\n\t\t// Make sure there's never more than one timeout running\n\t\tclearTimeout( this.writeURLTimeout );\n\n\t\t// If a delay is specified, timeout this call\n\t\tif( typeof delay === 'number' ) {\n\t\t\tthis.writeURLTimeout = setTimeout( this.writeURL, delay );\n\t\t}\n\t\telse if( currentSlide ) {\n\n\t\t\tlet hash = this.getHash();\n\n\t\t\t// If we're configured to push to history OR the history\n\t\t\t// API is not avaialble.\n\t\t\tif( config.history ) {\n\t\t\t\twindow.location.hash = hash;\n\t\t\t}\n\t\t\t// If we're configured to reflect the current slide in the\n\t\t\t// URL without pushing to history.\n\t\t\telse if( config.hash ) {\n\t\t\t\t// If the hash is empty, don't add it to the URL\n\t\t\t\tif( hash === '/' ) {\n\t\t\t\t\twindow.history.replaceState( null, null, window.location.pathname + window.location.search );\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\twindow.history.replaceState( null, null, '#' + hash );\n\t\t\t\t}\n\t\t\t}\n\t\t\t// UPDATE: The below nuking of all hash changes breaks\n\t\t\t// anchors on pages where reveal.js is running. Removed\n\t\t\t// in 4.0. Why was it here in the first place? ¯\\_(ツ)_/¯\n\t\t\t//\n\t\t\t// If history and hash are both disabled, a hash may still\n\t\t\t// be added to the URL by clicking on a href with a hash\n\t\t\t// target. Counter this by always removing the hash.\n\t\t\t// else {\n\t\t\t// \twindow.history.replaceState( null, null, window.location.pathname + window.location.search );\n\t\t\t// }\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Return a hash URL that will resolve to the given slide location.\n\t *\n\t * @param {HTMLElement} [slide=currentSlide] The slide to link to\n\t */\n\tgetHash( slide ) {\n\n\t\tlet url = '/';\n\n\t\t// Attempt to create a named link based on the slide's ID\n\t\tlet s = slide || this.Reveal.getCurrentSlide();\n\t\tlet id = s ? s.getAttribute( 'id' ) : null;\n\t\tif( id ) {\n\t\t\tid = encodeURIComponent( id );\n\t\t}\n\n\t\tlet index = this.Reveal.getIndices( slide );\n\t\tif( !this.Reveal.getConfig().fragmentInURL ) {\n\t\t\tindex.f = undefined;\n\t\t}\n\n\t\t// If the current slide has an ID, use that as a named link,\n\t\t// but we don't support named links with a fragment index\n\t\tif( typeof id === 'string' && id.length ) {\n\t\t\turl = '/' + id;\n\n\t\t\t// If there is also a fragment, append that at the end\n\t\t\t// of the named link, like: #/named-link/2\n\t\t\tif( index.f >= 0 ) url += '/' + index.f;\n\t\t}\n\t\t// Otherwise use the /h/v index\n\t\telse {\n\t\t\tlet hashIndexBase = this.Reveal.getConfig().hashOneBasedIndex ? 1 : 0;\n\t\t\tif( index.h > 0 || index.v > 0 || index.f >= 0 ) url += index.h + hashIndexBase;\n\t\t\tif( index.v > 0 || index.f >= 0 ) url += '/' + (index.v + hashIndexBase );\n\t\t\tif( index.f >= 0 ) url += '/' + index.f;\n\t\t}\n\n\t\treturn url;\n\n\t}\n\n\t/**\n\t * Handler for the window level 'hashchange' event.\n\t *\n\t * @param {object} [event]\n\t */\n\tonWindowHashChange( event ) {\n\n\t\tthis.readURL();\n\n\t}\n\n}","import { queryAll } from '../utils/util.js'\nimport { isAndroid } from '../utils/device.js'\n\n/**\n * Manages our presentation controls. This includes both\n * the built-in control arrows as well as event monitoring\n * of any elements within the presentation with either of the\n * following helper classes:\n * - .navigate-up\n * - .navigate-right\n * - .navigate-down\n * - .navigate-left\n * - .navigate-next\n * - .navigate-prev\n */\nexport default class Controls {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\tthis.onNavigateLeftClicked = this.onNavigateLeftClicked.bind( this );\n\t\tthis.onNavigateRightClicked = this.onNavigateRightClicked.bind( this );\n\t\tthis.onNavigateUpClicked = this.onNavigateUpClicked.bind( this );\n\t\tthis.onNavigateDownClicked = this.onNavigateDownClicked.bind( this );\n\t\tthis.onNavigatePrevClicked = this.onNavigatePrevClicked.bind( this );\n\t\tthis.onNavigateNextClicked = this.onNavigateNextClicked.bind( this );\n\n\t}\n\n\trender() {\n\n\t\tconst rtl = this.Reveal.getConfig().rtl;\n\t\tconst revealElement = this.Reveal.getRevealElement();\n\n\t\tthis.element = document.createElement( 'aside' );\n\t\tthis.element.className = 'controls';\n\t\tthis.element.innerHTML =\n\t\t\t`\n\t\t\t\n\t\t\t\n\t\t\t`;\n\n\t\tthis.Reveal.getRevealElement().appendChild( this.element );\n\n\t\t// There can be multiple instances of controls throughout the page\n\t\tthis.controlsLeft = queryAll( revealElement, '.navigate-left' );\n\t\tthis.controlsRight = queryAll( revealElement, '.navigate-right' );\n\t\tthis.controlsUp = queryAll( revealElement, '.navigate-up' );\n\t\tthis.controlsDown = queryAll( revealElement, '.navigate-down' );\n\t\tthis.controlsPrev = queryAll( revealElement, '.navigate-prev' );\n\t\tthis.controlsNext = queryAll( revealElement, '.navigate-next' );\n\n\t\t// The left, right and down arrows in the standard reveal.js controls\n\t\tthis.controlsRightArrow = this.element.querySelector( '.navigate-right' );\n\t\tthis.controlsLeftArrow = this.element.querySelector( '.navigate-left' );\n\t\tthis.controlsDownArrow = this.element.querySelector( '.navigate-down' );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tthis.element.style.display = config.controls ? 'block' : 'none';\n\n\t\tthis.element.setAttribute( 'data-controls-layout', config.controlsLayout );\n\t\tthis.element.setAttribute( 'data-controls-back-arrows', config.controlsBackArrows );\n\n\t}\n\n\tbind() {\n\n\t\t// Listen to both touch and click events, in case the device\n\t\t// supports both\n\t\tlet pointerEvents = [ 'touchstart', 'click' ];\n\n\t\t// Only support touch for Android, fixes double navigations in\n\t\t// stock browser\n\t\tif( isAndroid ) {\n\t\t\tpointerEvents = [ 'touchstart' ];\n\t\t}\n\n\t\tpointerEvents.forEach( eventName => {\n\t\t\tthis.controlsLeft.forEach( el => el.addEventListener( eventName, this.onNavigateLeftClicked, false ) );\n\t\t\tthis.controlsRight.forEach( el => el.addEventListener( eventName, this.onNavigateRightClicked, false ) );\n\t\t\tthis.controlsUp.forEach( el => el.addEventListener( eventName, this.onNavigateUpClicked, false ) );\n\t\t\tthis.controlsDown.forEach( el => el.addEventListener( eventName, this.onNavigateDownClicked, false ) );\n\t\t\tthis.controlsPrev.forEach( el => el.addEventListener( eventName, this.onNavigatePrevClicked, false ) );\n\t\t\tthis.controlsNext.forEach( el => el.addEventListener( eventName, this.onNavigateNextClicked, false ) );\n\t\t} );\n\n\t}\n\n\tunbind() {\n\n\t\t[ 'touchstart', 'click' ].forEach( eventName => {\n\t\t\tthis.controlsLeft.forEach( el => el.removeEventListener( eventName, this.onNavigateLeftClicked, false ) );\n\t\t\tthis.controlsRight.forEach( el => el.removeEventListener( eventName, this.onNavigateRightClicked, false ) );\n\t\t\tthis.controlsUp.forEach( el => el.removeEventListener( eventName, this.onNavigateUpClicked, false ) );\n\t\t\tthis.controlsDown.forEach( el => el.removeEventListener( eventName, this.onNavigateDownClicked, false ) );\n\t\t\tthis.controlsPrev.forEach( el => el.removeEventListener( eventName, this.onNavigatePrevClicked, false ) );\n\t\t\tthis.controlsNext.forEach( el => el.removeEventListener( eventName, this.onNavigateNextClicked, false ) );\n\t\t} );\n\n\t}\n\n\t/**\n\t * Updates the state of all control/navigation arrows.\n\t */\n\tupdate() {\n\n\t\tlet routes = this.Reveal.availableRoutes();\n\n\t\t// Remove the 'enabled' class from all directions\n\t\t[...this.controlsLeft, ...this.controlsRight, ...this.controlsUp, ...this.controlsDown, ...this.controlsPrev, ...this.controlsNext].forEach( node => {\n\t\t\tnode.classList.remove( 'enabled', 'fragmented' );\n\n\t\t\t// Set 'disabled' attribute on all directions\n\t\t\tnode.setAttribute( 'disabled', 'disabled' );\n\t\t} );\n\n\t\t// Add the 'enabled' class to the available routes; remove 'disabled' attribute to enable buttons\n\t\tif( routes.left ) this.controlsLeft.forEach( el => { el.classList.add( 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\tif( routes.right ) this.controlsRight.forEach( el => { el.classList.add( 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\tif( routes.up ) this.controlsUp.forEach( el => { el.classList.add( 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\tif( routes.down ) this.controlsDown.forEach( el => { el.classList.add( 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\n\t\t// Prev/next buttons\n\t\tif( routes.left || routes.up ) this.controlsPrev.forEach( el => { el.classList.add( 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\tif( routes.right || routes.down ) this.controlsNext.forEach( el => { el.classList.add( 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\n\t\t// Highlight fragment directions\n\t\tlet currentSlide = this.Reveal.getCurrentSlide();\n\t\tif( currentSlide ) {\n\n\t\t\tlet fragmentsRoutes = this.Reveal.fragments.availableRoutes();\n\n\t\t\t// Always apply fragment decorator to prev/next buttons\n\t\t\tif( fragmentsRoutes.prev ) this.controlsPrev.forEach( el => { el.classList.add( 'fragmented', 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\t\tif( fragmentsRoutes.next ) this.controlsNext.forEach( el => { el.classList.add( 'fragmented', 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\n\t\t\t// Apply fragment decorators to directional buttons based on\n\t\t\t// what slide axis they are in\n\t\t\tif( this.Reveal.isVerticalSlide( currentSlide ) ) {\n\t\t\t\tif( fragmentsRoutes.prev ) this.controlsUp.forEach( el => { el.classList.add( 'fragmented', 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\t\t\tif( fragmentsRoutes.next ) this.controlsDown.forEach( el => { el.classList.add( 'fragmented', 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tif( fragmentsRoutes.prev ) this.controlsLeft.forEach( el => { el.classList.add( 'fragmented', 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\t\t\tif( fragmentsRoutes.next ) this.controlsRight.forEach( el => { el.classList.add( 'fragmented', 'enabled' ); el.removeAttribute( 'disabled' ); } );\n\t\t\t}\n\n\t\t}\n\n\t\tif( this.Reveal.getConfig().controlsTutorial ) {\n\n\t\t\tlet indices = this.Reveal.getIndices();\n\n\t\t\t// Highlight control arrows with an animation to ensure\n\t\t\t// that the viewer knows how to navigate\n\t\t\tif( !this.Reveal.hasNavigatedVertically() && routes.down ) {\n\t\t\t\tthis.controlsDownArrow.classList.add( 'highlight' );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tthis.controlsDownArrow.classList.remove( 'highlight' );\n\n\t\t\t\tif( this.Reveal.getConfig().rtl ) {\n\n\t\t\t\t\tif( !this.Reveal.hasNavigatedHorizontally() && routes.left && indices.v === 0 ) {\n\t\t\t\t\t\tthis.controlsLeftArrow.classList.add( 'highlight' );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthis.controlsLeftArrow.classList.remove( 'highlight' );\n\t\t\t\t\t}\n\n\t\t\t\t} else {\n\n\t\t\t\t\tif( !this.Reveal.hasNavigatedHorizontally() && routes.right && indices.v === 0 ) {\n\t\t\t\t\t\tthis.controlsRightArrow.classList.add( 'highlight' );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthis.controlsRightArrow.classList.remove( 'highlight' );\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t/**\n\t * Event handlers for navigation control buttons.\n\t */\n\tonNavigateLeftClicked( event ) {\n\n\t\tevent.preventDefault();\n\t\tthis.Reveal.onUserInput();\n\n\t\tif( this.Reveal.getConfig().navigationMode === 'linear' ) {\n\t\t\tthis.Reveal.prev();\n\t\t}\n\t\telse {\n\t\t\tthis.Reveal.left();\n\t\t}\n\n\t}\n\n\tonNavigateRightClicked( event ) {\n\n\t\tevent.preventDefault();\n\t\tthis.Reveal.onUserInput();\n\n\t\tif( this.Reveal.getConfig().navigationMode === 'linear' ) {\n\t\t\tthis.Reveal.next();\n\t\t}\n\t\telse {\n\t\t\tthis.Reveal.right();\n\t\t}\n\n\t}\n\n\tonNavigateUpClicked( event ) {\n\n\t\tevent.preventDefault();\n\t\tthis.Reveal.onUserInput();\n\n\t\tthis.Reveal.up();\n\n\t}\n\n\tonNavigateDownClicked( event ) {\n\n\t\tevent.preventDefault();\n\t\tthis.Reveal.onUserInput();\n\n\t\tthis.Reveal.down();\n\n\t}\n\n\tonNavigatePrevClicked( event ) {\n\n\t\tevent.preventDefault();\n\t\tthis.Reveal.onUserInput();\n\n\t\tthis.Reveal.prev();\n\n\t}\n\n\tonNavigateNextClicked( event ) {\n\n\t\tevent.preventDefault();\n\t\tthis.Reveal.onUserInput();\n\n\t\tthis.Reveal.next();\n\n\t}\n\n\n}","/**\n * Creates a visual progress bar for the presentation.\n */\nexport default class Progress {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\tthis.onProgressClicked = this.onProgressClicked.bind( this );\n\n\t}\n\n\trender() {\n\n\t\tthis.element = document.createElement( 'div' );\n\t\tthis.element.className = 'progress';\n\t\tthis.Reveal.getRevealElement().appendChild( this.element );\n\n\t\tthis.bar = document.createElement( 'span' );\n\t\tthis.element.appendChild( this.bar );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tthis.element.style.display = config.progress ? 'block' : 'none';\n\n\t}\n\n\tbind() {\n\n\t\tif( this.Reveal.getConfig().progress && this.element ) {\n\t\t\tthis.element.addEventListener( 'click', this.onProgressClicked, false );\n\t\t}\n\n\t}\n\n\tunbind() {\n\n\t\tif ( this.Reveal.getConfig().progress && this.element ) {\n\t\t\tthis.element.removeEventListener( 'click', this.onProgressClicked, false );\n\t\t}\n\n\t}\n\n\t/**\n\t * Updates the progress bar to reflect the current slide.\n\t */\n\tupdate() {\n\n\t\t// Update progress if enabled\n\t\tif( this.Reveal.getConfig().progress && this.bar ) {\n\n\t\t\tlet scale = this.Reveal.getProgress();\n\n\t\t\t// Don't fill the progress bar if there's only one slide\n\t\t\tif( this.Reveal.getTotalSlides() < 2 ) {\n\t\t\t\tscale = 0;\n\t\t\t}\n\n\t\t\tthis.bar.style.transform = 'scaleX('+ scale +')';\n\n\t\t}\n\n\t}\n\n\tgetMaxWidth() {\n\n\t\treturn this.Reveal.getRevealElement().offsetWidth;\n\n\t}\n\n\t/**\n\t * Clicking on the progress bar results in a navigation to the\n\t * closest approximate horizontal slide using this equation:\n\t *\n\t * ( clickX / presentationWidth ) * numberOfSlides\n\t *\n\t * @param {object} event\n\t */\n\tonProgressClicked( event ) {\n\n\t\tthis.Reveal.onUserInput( event );\n\n\t\tevent.preventDefault();\n\n\t\tlet slides = this.Reveal.getSlides();\n\t\tlet slidesTotal = slides.length;\n\t\tlet slideIndex = Math.floor( ( event.clientX / this.getMaxWidth() ) * slidesTotal );\n\n\t\tif( this.Reveal.getConfig().rtl ) {\n\t\t\tslideIndex = slidesTotal - slideIndex;\n\t\t}\n\n\t\tlet targetIndices = this.Reveal.getIndices(slides[slideIndex]);\n\t\tthis.Reveal.slide( targetIndices.h, targetIndices.v );\n\n\t}\n\n\n}","/**\n * Handles hiding of the pointer/cursor when inactive.\n */\nexport default class Pointer {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\t// Throttles mouse wheel navigation\n\t\tthis.lastMouseWheelStep = 0;\n\n\t\t// Is the mouse pointer currently hidden from view\n\t\tthis.cursorHidden = false;\n\n\t\t// Timeout used to determine when the cursor is inactive\n\t\tthis.cursorInactiveTimeout = 0;\n\n\t\tthis.onDocumentCursorActive = this.onDocumentCursorActive.bind( this );\n\t\tthis.onDocumentMouseScroll = this.onDocumentMouseScroll.bind( this );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tif( config.mouseWheel ) {\n\t\t\tdocument.addEventListener( 'DOMMouseScroll', this.onDocumentMouseScroll, false ); // FF\n\t\t\tdocument.addEventListener( 'mousewheel', this.onDocumentMouseScroll, false );\n\t\t}\n\t\telse {\n\t\t\tdocument.removeEventListener( 'DOMMouseScroll', this.onDocumentMouseScroll, false ); // FF\n\t\t\tdocument.removeEventListener( 'mousewheel', this.onDocumentMouseScroll, false );\n\t\t}\n\n\t\t// Auto-hide the mouse pointer when its inactive\n\t\tif( config.hideInactiveCursor ) {\n\t\t\tdocument.addEventListener( 'mousemove', this.onDocumentCursorActive, false );\n\t\t\tdocument.addEventListener( 'mousedown', this.onDocumentCursorActive, false );\n\t\t}\n\t\telse {\n\t\t\tthis.showCursor();\n\n\t\t\tdocument.removeEventListener( 'mousemove', this.onDocumentCursorActive, false );\n\t\t\tdocument.removeEventListener( 'mousedown', this.onDocumentCursorActive, false );\n\t\t}\n\n\t}\n\n\t/**\n\t * Shows the mouse pointer after it has been hidden with\n\t * #hideCursor.\n\t */\n\tshowCursor() {\n\n\t\tif( this.cursorHidden ) {\n\t\t\tthis.cursorHidden = false;\n\t\t\tthis.Reveal.getRevealElement().style.cursor = '';\n\t\t}\n\n\t}\n\n\t/**\n\t * Hides the mouse pointer when it's on top of the .reveal\n\t * container.\n\t */\n\thideCursor() {\n\n\t\tif( this.cursorHidden === false ) {\n\t\t\tthis.cursorHidden = true;\n\t\t\tthis.Reveal.getRevealElement().style.cursor = 'none';\n\t\t}\n\n\t}\n\n\t/**\n\t * Called whenever there is mouse input at the document level\n\t * to determine if the cursor is active or not.\n\t *\n\t * @param {object} event\n\t */\n\tonDocumentCursorActive( event ) {\n\n\t\tthis.showCursor();\n\n\t\tclearTimeout( this.cursorInactiveTimeout );\n\n\t\tthis.cursorInactiveTimeout = setTimeout( this.hideCursor.bind( this ), this.Reveal.getConfig().hideCursorTime );\n\n\t}\n\n\t/**\n\t * Handles mouse wheel scrolling, throttled to avoid skipping\n\t * multiple slides.\n\t *\n\t * @param {object} event\n\t */\n\tonDocumentMouseScroll( event ) {\n\n\t\tif( Date.now() - this.lastMouseWheelStep > 1000 ) {\n\n\t\t\tthis.lastMouseWheelStep = Date.now();\n\n\t\t\tlet delta = event.detail || -event.wheelDelta;\n\t\t\tif( delta > 0 ) {\n\t\t\t\tthis.Reveal.next();\n\t\t\t}\n\t\t\telse if( delta < 0 ) {\n\t\t\t\tthis.Reveal.prev();\n\t\t\t}\n\n\t\t}\n\n\t}\n\n}","/**\n * Loads a JavaScript file from the given URL and executes it.\n *\n * @param {string} url Address of the .js file to load\n * @param {function} callback Method to invoke when the script\n * has loaded and executed\n */\nexport const loadScript = ( url, callback ) => {\n\n\tconst script = document.createElement( 'script' );\n\tscript.type = 'text/javascript';\n\tscript.async = false;\n\tscript.defer = false;\n\tscript.src = url;\n\n\tif( typeof callback === 'function' ) {\n\n\t\t// Success callback\n\t\tscript.onload = script.onreadystatechange = event => {\n\t\t\tif( event.type === 'load' || /loaded|complete/.test( script.readyState ) ) {\n\n\t\t\t\t// Kill event listeners\n\t\t\t\tscript.onload = script.onreadystatechange = script.onerror = null;\n\n\t\t\t\tcallback();\n\n\t\t\t}\n\t\t};\n\n\t\t// Error callback\n\t\tscript.onerror = err => {\n\n\t\t\t// Kill event listeners\n\t\t\tscript.onload = script.onreadystatechange = script.onerror = null;\n\n\t\t\tcallback( new Error( 'Failed loading script: ' + script.src + '\\n' + err ) );\n\n\t\t};\n\n\t}\n\n\t// Append the script at the end of \n\tconst head = document.querySelector( 'head' );\n\thead.insertBefore( script, head.lastChild );\n\n}","import { loadScript } from '../utils/loader.js'\n\n/**\n * Manages loading and registering of reveal.js plugins.\n */\nexport default class Plugins {\n\n\tconstructor( reveal ) {\n\n\t\tthis.Reveal = reveal;\n\n\t\t// Flags our current state (idle -> loading -> loaded)\n\t\tthis.state = 'idle';\n\n\t\t// An id:instance map of currently registed plugins\n\t\tthis.registeredPlugins = {};\n\n\t\tthis.asyncDependencies = [];\n\n\t}\n\n\t/**\n\t * Loads reveal.js dependencies, registers and\n\t * initializes plugins.\n\t *\n\t * Plugins are direct references to a reveal.js plugin\n\t * object that we register and initialize after any\n\t * synchronous dependencies have loaded.\n\t *\n\t * Dependencies are defined via the 'dependencies' config\n\t * option and will be loaded prior to starting reveal.js.\n\t * Some dependencies may have an 'async' flag, if so they\n\t * will load after reveal.js has been started up.\n\t */\n\tload( plugins, dependencies ) {\n\n\t\tthis.state = 'loading';\n\n\t\tplugins.forEach( this.registerPlugin.bind( this ) );\n\n\t\treturn new Promise( resolve => {\n\n\t\t\tlet scripts = [],\n\t\t\t\tscriptsToLoad = 0;\n\n\t\t\tdependencies.forEach( s => {\n\t\t\t\t// Load if there's no condition or the condition is truthy\n\t\t\t\tif( !s.condition || s.condition() ) {\n\t\t\t\t\tif( s.async ) {\n\t\t\t\t\t\tthis.asyncDependencies.push( s );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tscripts.push( s );\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} );\n\n\t\t\tif( scripts.length ) {\n\t\t\t\tscriptsToLoad = scripts.length;\n\n\t\t\t\tconst scriptLoadedCallback = (s) => {\n\t\t\t\t\tif( s && typeof s.callback === 'function' ) s.callback();\n\n\t\t\t\t\tif( --scriptsToLoad === 0 ) {\n\t\t\t\t\t\tthis.initPlugins().then( resolve );\n\t\t\t\t\t}\n\t\t\t\t};\n\n\t\t\t\t// Load synchronous scripts\n\t\t\t\tscripts.forEach( s => {\n\t\t\t\t\tif( typeof s.id === 'string' ) {\n\t\t\t\t\t\tthis.registerPlugin( s );\n\t\t\t\t\t\tscriptLoadedCallback( s );\n\t\t\t\t\t}\n\t\t\t\t\telse if( typeof s.src === 'string' ) {\n\t\t\t\t\t\tloadScript( s.src, () => scriptLoadedCallback(s) );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tconsole.warn( 'Unrecognized plugin format', s );\n\t\t\t\t\t\tscriptLoadedCallback();\n\t\t\t\t\t}\n\t\t\t\t} );\n\t\t\t}\n\t\t\telse {\n\t\t\t\tthis.initPlugins().then( resolve );\n\t\t\t}\n\n\t\t} );\n\n\t}\n\n\t/**\n\t * Initializes our plugins and waits for them to be ready\n\t * before proceeding.\n\t */\n\tinitPlugins() {\n\n\t\treturn new Promise( resolve => {\n\n\t\t\tlet pluginValues = Object.values( this.registeredPlugins );\n\t\t\tlet pluginsToInitialize = pluginValues.length;\n\n\t\t\t// If there are no plugins, skip this step\n\t\t\tif( pluginsToInitialize === 0 ) {\n\t\t\t\tthis.loadAsync().then( resolve );\n\t\t\t}\n\t\t\t// ... otherwise initialize plugins\n\t\t\telse {\n\n\t\t\t\tlet initNextPlugin;\n\n\t\t\t\tlet afterPlugInitialized = () => {\n\t\t\t\t\tif( --pluginsToInitialize === 0 ) {\n\t\t\t\t\t\tthis.loadAsync().then( resolve );\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tinitNextPlugin();\n\t\t\t\t\t}\n\t\t\t\t};\n\n\t\t\t\tlet i = 0;\n\n\t\t\t\t// Initialize plugins serially\n\t\t\t\tinitNextPlugin = () => {\n\n\t\t\t\t\tlet plugin = pluginValues[i++];\n\n\t\t\t\t\t// If the plugin has an 'init' method, invoke it\n\t\t\t\t\tif( typeof plugin.init === 'function' ) {\n\t\t\t\t\t\tlet promise = plugin.init( this.Reveal );\n\n\t\t\t\t\t\t// If the plugin returned a Promise, wait for it\n\t\t\t\t\t\tif( promise && typeof promise.then === 'function' ) {\n\t\t\t\t\t\t\tpromise.then( afterPlugInitialized );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tafterPlugInitialized();\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tafterPlugInitialized();\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tinitNextPlugin();\n\n\t\t\t}\n\n\t\t} )\n\n\t}\n\n\t/**\n\t * Loads all async reveal.js dependencies.\n\t */\n\tloadAsync() {\n\n\t\tthis.state = 'loaded';\n\n\t\tif( this.asyncDependencies.length ) {\n\t\t\tthis.asyncDependencies.forEach( s => {\n\t\t\t\tloadScript( s.src, s.callback );\n\t\t\t} );\n\t\t}\n\n\t\treturn Promise.resolve();\n\n\t}\n\n\t/**\n\t * Registers a new plugin with this reveal.js instance.\n\t *\n\t * reveal.js waits for all regisered plugins to initialize\n\t * before considering itself ready, as long as the plugin\n\t * is registered before calling `Reveal.initialize()`.\n\t */\n\tregisterPlugin( plugin ) {\n\n\t\t// Backwards compatibility to make reveal.js ~3.9.0\n\t\t// plugins work with reveal.js 4.0.0\n\t\tif( arguments.length === 2 && typeof arguments[0] === 'string' ) {\n\t\t\tplugin = arguments[1];\n\t\t\tplugin.id = arguments[0];\n\t\t}\n\t\t// Plugin can optionally be a function which we call\n\t\t// to create an instance of the plugin\n\t\telse if( typeof plugin === 'function' ) {\n\t\t\tplugin = plugin();\n\t\t}\n\n\t\tlet id = plugin.id;\n\n\t\tif( typeof id !== 'string' ) {\n\t\t\tconsole.warn( 'Unrecognized plugin format; can\\'t find plugin.id', plugin );\n\t\t}\n\t\telse if( this.registeredPlugins[id] === undefined ) {\n\t\t\tthis.registeredPlugins[id] = plugin;\n\n\t\t\t// If a plugin is registered after reveal.js is loaded,\n\t\t\t// initialize it right away\n\t\t\tif( this.state === 'loaded' && typeof plugin.init === 'function' ) {\n\t\t\t\tplugin.init( this.Reveal );\n\t\t\t}\n\t\t}\n\t\telse {\n\t\t\tconsole.warn( 'reveal.js: \"'+ id +'\" plugin has already been registered' );\n\t\t}\n\n\t}\n\n\t/**\n\t * Checks if a specific plugin has been registered.\n\t *\n\t * @param {String} id Unique plugin identifier\n\t */\n\thasPlugin( id ) {\n\n\t\treturn !!this.registeredPlugins[id];\n\n\t}\n\n\t/**\n\t * Returns the specific plugin instance, if a plugin\n\t * with the given ID has been registered.\n\t *\n\t * @param {String} id Unique plugin identifier\n\t */\n\tgetPlugin( id ) {\n\n\t\treturn this.registeredPlugins[id];\n\n\t}\n\n\tgetRegisteredPlugins() {\n\n\t\treturn this.registeredPlugins;\n\n\t}\n\n}\n","import { SLIDES_SELECTOR } from '../utils/constants.js'\nimport { queryAll, createStyleSheet } from '../utils/util.js'\n\n/**\n * Setups up our presentation for printing/exporting to PDF.\n */\nexport default class Print {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t}\n\n\t/**\n\t * Configures the presentation for printing to a static\n\t * PDF.\n\t */\n\tasync setupPDF() {\n\n\t\tconst config = this.Reveal.getConfig();\n\t\tconst slides = queryAll( this.Reveal.getRevealElement(), SLIDES_SELECTOR )\n\n\t\t// Compute slide numbers now, before we start duplicating slides\n\t\tconst doingSlideNumbers = config.slideNumber && /all|print/i.test( config.showSlideNumber );\n\n\t\tconst slideSize = this.Reveal.getComputedSlideSize( window.innerWidth, window.innerHeight );\n\n\t\t// Dimensions of the PDF pages\n\t\tconst pageWidth = Math.floor( slideSize.width * ( 1 + config.margin ) ),\n\t\t\tpageHeight = Math.floor( slideSize.height * ( 1 + config.margin ) );\n\n\t\t// Dimensions of slides within the pages\n\t\tconst slideWidth = slideSize.width,\n\t\t\tslideHeight = slideSize.height;\n\n\t\tawait new Promise( requestAnimationFrame );\n\n\t\t// Let the browser know what page size we want to print\n\t\tcreateStyleSheet( '@page{size:'+ pageWidth +'px '+ pageHeight +'px; margin: 0px;}' );\n\n\t\t// Limit the size of certain elements to the dimensions of the slide\n\t\tcreateStyleSheet( '.reveal section>img, .reveal section>video, .reveal section>iframe{max-width: '+ slideWidth +'px; max-height:'+ slideHeight +'px}' );\n\n\t\tdocument.documentElement.classList.add( 'print-pdf' );\n\t\tdocument.body.style.width = pageWidth + 'px';\n\t\tdocument.body.style.height = pageHeight + 'px';\n\n\t\t// Make sure stretch elements fit on slide\n\t\tawait new Promise( requestAnimationFrame );\n\t\tthis.Reveal.layoutSlideContents( slideWidth, slideHeight );\n\n\t\t// Re-run the slide layout so that r-fit-text is applied based on\n\t\t// the printed slide size\n\t\tslides.forEach( slide => this.Reveal.slideContent.layout( slide ) );\n\n\t\t// Batch scrollHeight access to prevent layout thrashing\n\t\tawait new Promise( requestAnimationFrame );\n\n\t\tconst slideScrollHeights = slides.map( slide => slide.scrollHeight );\n\n\t\tconst pages = [];\n\t\tconst pageContainer = slides[0].parentNode;\n\n\t\t// Slide and slide background layout\n\t\tslides.forEach( function( slide, index ) {\n\n\t\t\t// Vertical stacks are not centred since their section\n\t\t\t// children will be\n\t\t\tif( slide.classList.contains( 'stack' ) === false ) {\n\t\t\t\t// Center the slide inside of the page, giving the slide some margin\n\t\t\t\tlet left = ( pageWidth - slideWidth ) / 2;\n\t\t\t\tlet top = ( pageHeight - slideHeight ) / 2;\n\n\t\t\t\tconst contentHeight = slideScrollHeights[ index ];\n\t\t\t\tlet numberOfPages = Math.max( Math.ceil( contentHeight / pageHeight ), 1 );\n\n\t\t\t\t// Adhere to configured pages per slide limit\n\t\t\t\tnumberOfPages = Math.min( numberOfPages, config.pdfMaxPagesPerSlide );\n\n\t\t\t\t// Center slides vertically\n\t\t\t\tif( numberOfPages === 1 && config.center || slide.classList.contains( 'center' ) ) {\n\t\t\t\t\ttop = Math.max( ( pageHeight - contentHeight ) / 2, 0 );\n\t\t\t\t}\n\n\t\t\t\t// Wrap the slide in a page element and hide its overflow\n\t\t\t\t// so that no page ever flows onto another\n\t\t\t\tconst page = document.createElement( 'div' );\n\t\t\t\tpages.push( page );\n\n\t\t\t\tpage.className = 'pdf-page';\n\t\t\t\tpage.style.height = ( ( pageHeight + config.pdfPageHeightOffset ) * numberOfPages ) + 'px';\n\t\t\t\tpage.appendChild( slide );\n\n\t\t\t\t// Position the slide inside of the page\n\t\t\t\tslide.style.left = left + 'px';\n\t\t\t\tslide.style.top = top + 'px';\n\t\t\t\tslide.style.width = slideWidth + 'px';\n\n\t\t\t\tif( slide.slideBackgroundElement ) {\n\t\t\t\t\tpage.insertBefore( slide.slideBackgroundElement, slide );\n\t\t\t\t}\n\n\t\t\t\t// Inject notes if `showNotes` is enabled\n\t\t\t\tif( config.showNotes ) {\n\n\t\t\t\t\t// Are there notes for this slide?\n\t\t\t\t\tconst notes = this.Reveal.getSlideNotes( slide );\n\t\t\t\t\tif( notes ) {\n\n\t\t\t\t\t\tconst notesSpacing = 8;\n\t\t\t\t\t\tconst notesLayout = typeof config.showNotes === 'string' ? config.showNotes : 'inline';\n\t\t\t\t\t\tconst notesElement = document.createElement( 'div' );\n\t\t\t\t\t\tnotesElement.classList.add( 'speaker-notes' );\n\t\t\t\t\t\tnotesElement.classList.add( 'speaker-notes-pdf' );\n\t\t\t\t\t\tnotesElement.setAttribute( 'data-layout', notesLayout );\n\t\t\t\t\t\tnotesElement.innerHTML = notes;\n\n\t\t\t\t\t\tif( notesLayout === 'separate-page' ) {\n\t\t\t\t\t\t\tpages.push( notesElement );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tnotesElement.style.left = notesSpacing + 'px';\n\t\t\t\t\t\t\tnotesElement.style.bottom = notesSpacing + 'px';\n\t\t\t\t\t\t\tnotesElement.style.width = ( pageWidth - notesSpacing*2 ) + 'px';\n\t\t\t\t\t\t\tpage.appendChild( notesElement );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t// Inject slide numbers if `slideNumbers` are enabled\n\t\t\t\tif( doingSlideNumbers ) {\n\t\t\t\t\tconst slideNumber = index + 1;\n\t\t\t\t\tconst numberElement = document.createElement( 'div' );\n\t\t\t\t\tnumberElement.classList.add( 'slide-number' );\n\t\t\t\t\tnumberElement.classList.add( 'slide-number-pdf' );\n\t\t\t\t\tnumberElement.innerHTML = slideNumber;\n\t\t\t\t\tpage.appendChild( numberElement );\n\t\t\t\t}\n\n\t\t\t\t// Copy page and show fragments one after another\n\t\t\t\tif( config.pdfSeparateFragments ) {\n\n\t\t\t\t\t// Each fragment 'group' is an array containing one or more\n\t\t\t\t\t// fragments. Multiple fragments that appear at the same time\n\t\t\t\t\t// are part of the same group.\n\t\t\t\t\tconst fragmentGroups = this.Reveal.fragments.sort( page.querySelectorAll( '.fragment' ), true );\n\n\t\t\t\t\tlet previousFragmentStep;\n\n\t\t\t\t\tfragmentGroups.forEach( function( fragments ) {\n\n\t\t\t\t\t\t// Remove 'current-fragment' from the previous group\n\t\t\t\t\t\tif( previousFragmentStep ) {\n\t\t\t\t\t\t\tpreviousFragmentStep.forEach( function( fragment ) {\n\t\t\t\t\t\t\t\tfragment.classList.remove( 'current-fragment' );\n\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Show the fragments for the current index\n\t\t\t\t\t\tfragments.forEach( function( fragment ) {\n\t\t\t\t\t\t\tfragment.classList.add( 'visible', 'current-fragment' );\n\t\t\t\t\t\t}, this );\n\n\t\t\t\t\t\t// Create a separate page for the current fragment state\n\t\t\t\t\t\tconst clonedPage = page.cloneNode( true );\n\t\t\t\t\t\tpages.push( clonedPage );\n\n\t\t\t\t\t\tpreviousFragmentStep = fragments;\n\n\t\t\t\t\t}, this );\n\n\t\t\t\t\t// Reset the first/original page so that all fragments are hidden\n\t\t\t\t\tfragmentGroups.forEach( function( fragments ) {\n\t\t\t\t\t\tfragments.forEach( function( fragment ) {\n\t\t\t\t\t\t\tfragment.classList.remove( 'visible', 'current-fragment' );\n\t\t\t\t\t\t} );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\t\t\t\t// Show all fragments\n\t\t\t\telse {\n\t\t\t\t\tqueryAll( page, '.fragment:not(.fade-out)' ).forEach( function( fragment ) {\n\t\t\t\t\t\tfragment.classList.add( 'visible' );\n\t\t\t\t\t} );\n\t\t\t\t}\n\n\t\t\t}\n\n\t\t}, this );\n\n\t\tawait new Promise( requestAnimationFrame );\n\n\t\tpages.forEach( page => pageContainer.appendChild( page ) );\n\n\t\t// Notify subscribers that the PDF layout is good to go\n\t\tthis.Reveal.dispatchEvent({ type: 'pdf-ready' });\n\n\t}\n\n\t/**\n\t * Checks if this instance is being used to print a PDF.\n\t */\n\tisPrintingPDF() {\n\n\t\treturn ( /print-pdf/gi ).test( window.location.search );\n\n\t}\n\n}\n","import { isAndroid } from '../utils/device.js'\nimport { matches } from '../utils/util.js'\n\nconst SWIPE_THRESHOLD = 40;\n\n/**\n * Controls all touch interactions and navigations for\n * a presentation.\n */\nexport default class Touch {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\t// Holds information about the currently ongoing touch interaction\n\t\tthis.touchStartX = 0;\n\t\tthis.touchStartY = 0;\n\t\tthis.touchStartCount = 0;\n\t\tthis.touchCaptured = false;\n\n\t\tthis.onPointerDown = this.onPointerDown.bind( this );\n\t\tthis.onPointerMove = this.onPointerMove.bind( this );\n\t\tthis.onPointerUp = this.onPointerUp.bind( this );\n\t\tthis.onTouchStart = this.onTouchStart.bind( this );\n\t\tthis.onTouchMove = this.onTouchMove.bind( this );\n\t\tthis.onTouchEnd = this.onTouchEnd.bind( this );\n\n\t}\n\n\t/**\n\t *\n\t */\n\tbind() {\n\n\t\tlet revealElement = this.Reveal.getRevealElement();\n\n\t\tif( 'onpointerdown' in window ) {\n\t\t\t// Use W3C pointer events\n\t\t\trevealElement.addEventListener( 'pointerdown', this.onPointerDown, false );\n\t\t\trevealElement.addEventListener( 'pointermove', this.onPointerMove, false );\n\t\t\trevealElement.addEventListener( 'pointerup', this.onPointerUp, false );\n\t\t}\n\t\telse if( window.navigator.msPointerEnabled ) {\n\t\t\t// IE 10 uses prefixed version of pointer events\n\t\t\trevealElement.addEventListener( 'MSPointerDown', this.onPointerDown, false );\n\t\t\trevealElement.addEventListener( 'MSPointerMove', this.onPointerMove, false );\n\t\t\trevealElement.addEventListener( 'MSPointerUp', this.onPointerUp, false );\n\t\t}\n\t\telse {\n\t\t\t// Fall back to touch events\n\t\t\trevealElement.addEventListener( 'touchstart', this.onTouchStart, false );\n\t\t\trevealElement.addEventListener( 'touchmove', this.onTouchMove, false );\n\t\t\trevealElement.addEventListener( 'touchend', this.onTouchEnd, false );\n\t\t}\n\n\t}\n\n\t/**\n\t *\n\t */\n\tunbind() {\n\n\t\tlet revealElement = this.Reveal.getRevealElement();\n\n\t\trevealElement.removeEventListener( 'pointerdown', this.onPointerDown, false );\n\t\trevealElement.removeEventListener( 'pointermove', this.onPointerMove, false );\n\t\trevealElement.removeEventListener( 'pointerup', this.onPointerUp, false );\n\n\t\trevealElement.removeEventListener( 'MSPointerDown', this.onPointerDown, false );\n\t\trevealElement.removeEventListener( 'MSPointerMove', this.onPointerMove, false );\n\t\trevealElement.removeEventListener( 'MSPointerUp', this.onPointerUp, false );\n\n\t\trevealElement.removeEventListener( 'touchstart', this.onTouchStart, false );\n\t\trevealElement.removeEventListener( 'touchmove', this.onTouchMove, false );\n\t\trevealElement.removeEventListener( 'touchend', this.onTouchEnd, false );\n\n\t}\n\n\t/**\n\t * Checks if the target element prevents the triggering of\n\t * swipe navigation.\n\t */\n\tisSwipePrevented( target ) {\n\n\t\t// Prevent accidental swipes when scrubbing timelines\n\t\tif( matches( target, 'video, audio' ) ) return true;\n\n\t\twhile( target && typeof target.hasAttribute === 'function' ) {\n\t\t\tif( target.hasAttribute( 'data-prevent-swipe' ) ) return true;\n\t\t\ttarget = target.parentNode;\n\t\t}\n\n\t\treturn false;\n\n\t}\n\n\t/**\n\t * Handler for the 'touchstart' event, enables support for\n\t * swipe and pinch gestures.\n\t *\n\t * @param {object} event\n\t */\n\tonTouchStart( event ) {\n\n\t\tif( this.isSwipePrevented( event.target ) ) return true;\n\n\t\tthis.touchStartX = event.touches[0].clientX;\n\t\tthis.touchStartY = event.touches[0].clientY;\n\t\tthis.touchStartCount = event.touches.length;\n\n\t}\n\n\t/**\n\t * Handler for the 'touchmove' event.\n\t *\n\t * @param {object} event\n\t */\n\tonTouchMove( event ) {\n\n\t\tif( this.isSwipePrevented( event.target ) ) return true;\n\n\t\tlet config = this.Reveal.getConfig();\n\n\t\t// Each touch should only trigger one action\n\t\tif( !this.touchCaptured ) {\n\t\t\tthis.Reveal.onUserInput( event );\n\n\t\t\tlet currentX = event.touches[0].clientX;\n\t\t\tlet currentY = event.touches[0].clientY;\n\n\t\t\t// There was only one touch point, look for a swipe\n\t\t\tif( event.touches.length === 1 && this.touchStartCount !== 2 ) {\n\n\t\t\t\tlet availableRoutes = this.Reveal.availableRoutes({ includeFragments: true });\n\n\t\t\t\tlet deltaX = currentX - this.touchStartX,\n\t\t\t\t\tdeltaY = currentY - this.touchStartY;\n\n\t\t\t\tif( deltaX > SWIPE_THRESHOLD && Math.abs( deltaX ) > Math.abs( deltaY ) ) {\n\t\t\t\t\tthis.touchCaptured = true;\n\t\t\t\t\tif( config.navigationMode === 'linear' ) {\n\t\t\t\t\t\tif( config.rtl ) {\n\t\t\t\t\t\t\tthis.Reveal.next();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tthis.Reveal.prev();\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthis.Reveal.left();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse if( deltaX < -SWIPE_THRESHOLD && Math.abs( deltaX ) > Math.abs( deltaY ) ) {\n\t\t\t\t\tthis.touchCaptured = true;\n\t\t\t\t\tif( config.navigationMode === 'linear' ) {\n\t\t\t\t\t\tif( config.rtl ) {\n\t\t\t\t\t\t\tthis.Reveal.prev();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tthis.Reveal.next();\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthis.Reveal.right();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse if( deltaY > SWIPE_THRESHOLD && availableRoutes.up ) {\n\t\t\t\t\tthis.touchCaptured = true;\n\t\t\t\t\tif( config.navigationMode === 'linear' ) {\n\t\t\t\t\t\tthis.Reveal.prev();\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthis.Reveal.up();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\telse if( deltaY < -SWIPE_THRESHOLD && availableRoutes.down ) {\n\t\t\t\t\tthis.touchCaptured = true;\n\t\t\t\t\tif( config.navigationMode === 'linear' ) {\n\t\t\t\t\t\tthis.Reveal.next();\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthis.Reveal.down();\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// If we're embedded, only block touch events if they have\n\t\t\t\t// triggered an action\n\t\t\t\tif( config.embedded ) {\n\t\t\t\t\tif( this.touchCaptured || this.Reveal.isVerticalSlide() ) {\n\t\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Not embedded? Block them all to avoid needless tossing\n\t\t\t\t// around of the viewport in iOS\n\t\t\t\telse {\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t}\n\n\t\t\t}\n\t\t}\n\t\t// There's a bug with swiping on some Android devices unless\n\t\t// the default action is always prevented\n\t\telse if( isAndroid ) {\n\t\t\tevent.preventDefault();\n\t\t}\n\n\t}\n\n\t/**\n\t * Handler for the 'touchend' event.\n\t *\n\t * @param {object} event\n\t */\n\tonTouchEnd( event ) {\n\n\t\tthis.touchCaptured = false;\n\n\t}\n\n\t/**\n\t * Convert pointer down to touch start.\n\t *\n\t * @param {object} event\n\t */\n\tonPointerDown( event ) {\n\n\t\tif( event.pointerType === event.MSPOINTER_TYPE_TOUCH || event.pointerType === \"touch\" ) {\n\t\t\tevent.touches = [{ clientX: event.clientX, clientY: event.clientY }];\n\t\t\tthis.onTouchStart( event );\n\t\t}\n\n\t}\n\n\t/**\n\t * Convert pointer move to touch move.\n\t *\n\t * @param {object} event\n\t */\n\tonPointerMove( event ) {\n\n\t\tif( event.pointerType === event.MSPOINTER_TYPE_TOUCH || event.pointerType === \"touch\" ) {\n\t\t\tevent.touches = [{ clientX: event.clientX, clientY: event.clientY }];\n\t\t\tthis.onTouchMove( event );\n\t\t}\n\n\t}\n\n\t/**\n\t * Convert pointer up to touch end.\n\t *\n\t * @param {object} event\n\t */\n\tonPointerUp( event ) {\n\n\t\tif( event.pointerType === event.MSPOINTER_TYPE_TOUCH || event.pointerType === \"touch\" ) {\n\t\t\tevent.touches = [{ clientX: event.clientX, clientY: event.clientY }];\n\t\t\tthis.onTouchEnd( event );\n\t\t}\n\n\t}\n\n}","import { closest } from '../utils/util.js'\n\n/**\n * Manages focus when a presentation is embedded. This\n * helps us only capture keyboard from the presentation\n * a user is currently interacting with in a page where\n * multiple presentations are embedded.\n */\n\nconst STATE_FOCUS = 'focus';\nconst STATE_BLUR = 'blur';\n\nexport default class Focus {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t\tthis.onRevealPointerDown = this.onRevealPointerDown.bind( this );\n\t\tthis.onDocumentPointerDown = this.onDocumentPointerDown.bind( this );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tif( config.embedded ) {\n\t\t\tthis.blur();\n\t\t}\n\t\telse {\n\t\t\tthis.focus();\n\t\t\tthis.unbind();\n\t\t}\n\n\t}\n\n\tbind() {\n\n\t\tif( this.Reveal.getConfig().embedded ) {\n\t\t\tthis.Reveal.getRevealElement().addEventListener( 'pointerdown', this.onRevealPointerDown, false );\n\t\t}\n\n\t}\n\n\tunbind() {\n\n\t\tthis.Reveal.getRevealElement().removeEventListener( 'pointerdown', this.onRevealPointerDown, false );\n\t\tdocument.removeEventListener( 'pointerdown', this.onDocumentPointerDown, false );\n\n\t}\n\n\tfocus() {\n\n\t\tif( this.state !== STATE_FOCUS ) {\n\t\t\tthis.Reveal.getRevealElement().classList.add( 'focused' );\n\t\t\tdocument.addEventListener( 'pointerdown', this.onDocumentPointerDown, false );\n\t\t}\n\n\t\tthis.state = STATE_FOCUS;\n\n\t}\n\n\tblur() {\n\n\t\tif( this.state !== STATE_BLUR ) {\n\t\t\tthis.Reveal.getRevealElement().classList.remove( 'focused' );\n\t\t\tdocument.removeEventListener( 'pointerdown', this.onDocumentPointerDown, false );\n\t\t}\n\n\t\tthis.state = STATE_BLUR;\n\n\t}\n\n\tisFocused() {\n\n\t\treturn this.state === STATE_FOCUS;\n\n\t}\n\n\tonRevealPointerDown( event ) {\n\n\t\tthis.focus();\n\n\t}\n\n\tonDocumentPointerDown( event ) {\n\n\t\tlet revealElement = closest( event.target, '.reveal' );\n\t\tif( !revealElement || revealElement !== this.Reveal.getRevealElement() ) {\n\t\t\tthis.blur();\n\t\t}\n\n\t}\n\n}","/**\n * Handles the showing and \n */\nexport default class Notes {\n\n\tconstructor( Reveal ) {\n\n\t\tthis.Reveal = Reveal;\n\n\t}\n\n\trender() {\n\n\t\tthis.element = document.createElement( 'div' );\n\t\tthis.element.className = 'speaker-notes';\n\t\tthis.element.setAttribute( 'data-prevent-swipe', '' );\n\t\tthis.element.setAttribute( 'tabindex', '0' );\n\t\tthis.Reveal.getRevealElement().appendChild( this.element );\n\n\t}\n\n\t/**\n\t * Called when the reveal.js config is updated.\n\t */\n\tconfigure( config, oldConfig ) {\n\n\t\tif( config.showNotes ) {\n\t\t\tthis.element.setAttribute( 'data-layout', typeof config.showNotes === 'string' ? config.showNotes : 'inline' );\n\t\t}\n\n\t}\n\n\t/**\n\t * Pick up notes from the current slide and display them\n\t * to the viewer.\n\t *\n\t * @see {@link config.showNotes}\n\t */\n\tupdate() {\n\n\t\tif( this.Reveal.getConfig().showNotes && this.element && this.Reveal.getCurrentSlide() && !this.Reveal.print.isPrintingPDF() ) {\n\n\t\t\tthis.element.innerHTML = this.getSlideNotes() || 'No notes on this slide.';\n\n\t\t}\n\n\t}\n\n\t/**\n\t * Updates the visibility of the speaker notes sidebar that\n\t * is used to share annotated slides. The notes sidebar is\n\t * only visible if showNotes is true and there are notes on\n\t * one or more slides in the deck.\n\t */\n\tupdateVisibility() {\n\n\t\tif( this.Reveal.getConfig().showNotes && this.hasNotes() && !this.Reveal.print.isPrintingPDF() ) {\n\t\t\tthis.Reveal.getRevealElement().classList.add( 'show-notes' );\n\t\t}\n\t\telse {\n\t\t\tthis.Reveal.getRevealElement().classList.remove( 'show-notes' );\n\t\t}\n\n\t}\n\n\t/**\n\t * Checks if there are speaker notes for ANY slide in the\n\t * presentation.\n\t */\n\thasNotes() {\n\n\t\treturn this.Reveal.getSlidesElement().querySelectorAll( '[data-notes], aside.notes' ).length > 0;\n\n\t}\n\n\t/**\n\t * Checks if this presentation is running inside of the\n\t * speaker notes window.\n\t *\n\t * @return {boolean}\n\t */\n\tisSpeakerNotesWindow() {\n\n\t\treturn !!window.location.search.match( /receiver/gi );\n\n\t}\n\n\t/**\n\t * Retrieves the speaker notes from a slide. Notes can be\n\t * defined in two ways:\n\t * 1. As a data-notes attribute on the slide
\n\t * 2. As an
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We made some maps

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with geospacial data.

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Thanks to the first class

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Ajani Davila

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James Leclaric

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Kathrine Shevchuk

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Magdalena Mackowiak

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Chapter 3.3 Extended Example

diff --git a/docs/course-materials/.DS_Store b/docs/course-materials/.DS_Store deleted file mode 100644 index e98e78a..0000000 Binary files a/docs/course-materials/.DS_Store and /dev/null differ diff --git a/docs/course-materials/application-exercises/ae-01a-un-votes/unvotes.html b/docs/course-materials/application-exercises/ae-01a-un-votes/unvotes.html deleted file mode 100644 index 259791e..0000000 --- a/docs/course-materials/application-exercises/ae-01a-un-votes/unvotes.html +++ /dev/null @@ -1,399 +0,0 @@ - - - - - - - - - - -MTH_190 - UN Votes - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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UN Votes

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Mine Çetinkaya-Rundel

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Introduction

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How do various countries vote in the United Nations General Assembly, how have their voting patterns evolved throughout time, and how similarly or differently do they view certain issues? Answering these questions (at a high level) is the focus of this analysis.

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Packages

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We will use the tidyverse, lubridate, and scales packages for data wrangling and visualization, and the DT package for interactive display of tabular output, and the unvotes package for the data.

-
-
library(tidyverse)
-library(lubridate)
-library(scales)
-library(DT)
-library(unvotes)
-
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-
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Data

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The data we’re using originally come from the unvotes package. In the chunk below we modify the data by joining the various data frames provided in the package to help you get started with the analysis.

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unvotes <- un_votes %>%
-  inner_join(un_roll_calls, by = "rcid") %>%
-  inner_join(un_roll_call_issues, by = "rcid")
-
-
-
-
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UN voting patterns

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Let’s create a data visualisation that displays how the voting record of the UK & NI changed over time on a variety of issues, and compares it to two other countries: US and Turkey.

-

We can easily change which countries are being plotted by changing which countries the code above filters for. Note that the country name should be spelled and capitalized exactly the same way as it appears in the data. See the Appendix for a list of the countries in the data.

-
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unvotes %>%
-  filter(country %in% c("United Kingdom", "United States", "Turkey")) %>%
-  mutate(year = year(date)) %>%
-  group_by(country, year, issue) %>%
-  summarize(percent_yes = mean(vote == "yes")) %>%
-  ggplot(mapping = aes(x = year, y = percent_yes, color = country)) +
-  geom_point(alpha = 0.4) +
-  geom_smooth(method = "loess", se = FALSE) +
-  facet_wrap(~issue) +
-  scale_y_continuous(labels = percent) +
-  labs(
-    title = "Percentage of 'Yes' votes in the UN General Assembly",
-    subtitle = "1946 to 2019",
-    y = "% Yes",
-    x = "Year",
-    color = "Country"
-  )
-
-

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References

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  1. David Robinson (2017). unvotes: United Nations General Assembly Voting Data. R package version 0.2.0.
    2. -
  2. Erik Voeten “Data and Analyses of Voting in the UN General Assembly” Routledge Handbook of International Organization, edited by Bob Reinalda (published May 27, 2013).
    3. -
  3. Much of the analysis has been modeled on the examples presented in the unvotes package vignette.
    4. -
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Appendix

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Below is a list of countries in the dataset:

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Cumulative deaths from COVID-19

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Mine Çetinkaya-Rundel

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Introduction

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Countries around the world are responding to an outbreak of respiratory illness caused by a novel coronavirus, COVID-19. The outbreak first started in Wuhan, China, but cases have been identified in a growing number of other locations internationally, including the United States. In this report we explore how the trajectory of the cumulative deaths in a number of countries.

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The data come from the coronavirus package, which pulls data from the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository. The coronavirus package provides a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. The package is available on GitHub here and is updated daily.

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For our analysis, in addition to the coronavirus package, we will use the following packages for data wrangling and visualisation.

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  • tidyverse for data wrangling and visualization
    • -
  • lubridate package for handling dates
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  • glue package for constructing text strings
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  • scales package for formatting axis labels
    • -
  • ggrepel package for pretty printing of country labels
    • -
-

We will make use of the DT package for interactive display of tabular output in the Appendix.

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library(coronavirus) # devtools::install_github("RamiKrispin/coronavirus")
-library(tidyverse)
-library(lubridate)
-library(glue)
-library(scales)
-library(ggrepel)
-library(DT)
-
-
-
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Data prep

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The data frame called coronavirus in the coronavirus package provides a daily summary of the Coronavirus (COVID-19) cases by country. Each row in the data frame represents a country (or, where relevant, state/province). A full list of the countries in the data frame is provided in the Appendix. Note that the data provided in this package provides daily number of deaths, confirmed cases, and recovered cases. For this report, we will focus on the deaths.

-

We will start by making our selection for the countries we want to explore.

-
-
countries <- c(
-  "China",
-  "France",
-  "United Kingdom",
-  "US",
-  "Turkey"
-)
-
-

In the following code chunk we filter the data frame for deaths in the countries we specified above and calculate cumulative number of deaths. We will only visualise data since 10th confirmed death.

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country_data <- coronavirus %>%
-  # filter for deaths in countries of interest
-  filter(
-    type == "death",
-    country %in% countries
-  ) %>%
-  # fix county labels for pretty plotting
-  mutate(
-    country = case_when(
-      country == "United Kingdom" ~ "UK",
-      TRUE ~ country
-    )
-  ) %>%
-  # calculate number of total cases for each country and date
-  group_by(country, date) %>%
-  summarise(tot_cases = sum(cases)) %>%
-  # arrange by date in ascending order
-  arrange(date) %>%
-  # record daily cumulative cases as cumulative_cases
-  mutate(cumulative_cases = cumsum(tot_cases)) %>%
-  # only use days since the 10th confirmed death
-  filter(cumulative_cases > 9) %>%
-  # record days elapsed, end date, and end label
-  mutate(
-    days_elapsed = as.numeric(date - min(date)),
-    end_date     = if_else(date == max(date), TRUE, FALSE),
-    end_label    = if_else(end_date, country, NULL)
-  ) %>%
-  # ungroup
-  ungroup()
-
-
`summarise()` has grouped output by 'country'. You can override using the
-`.groups` argument.
-
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-

We also need to take a note of the “as of date” for the data so that we can properly label our visualisation.

-
-
as_of_date <- country_data %>% 
-  summarise(max(date)) %>% 
-  pull()
-
-as_of_date_formatted <- glue("{wday(as_of_date, label = TRUE)}, {month(as_of_date, label = TRUE)} {day(as_of_date)}, {year(as_of_date)}")
-
-

These data are as of Thu, Jun 23, 2022.

-
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Visualisation

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The following visualisation shows the number of cumulative cases vs. days elapsed since the 10th confirmed death in each country. The time span plotted for each country varies since some countries started seeing (and reporting) deaths from COVID-19 much later than others.

-
-
ggplot(data = country_data,
-       mapping = aes(x = days_elapsed, 
-                     y = cumulative_cases, 
-                     color = country, 
-                     label = end_label)) +
-  # represent cumulative cases with lines
-  geom_line(size = 0.7, alpha = 0.8) +
-  # add points to line endings
-  geom_point(data = country_data %>% filter(end_date)) +
-  # add country labels, nudged above the lines
-  geom_label_repel(nudge_y = 1, direction = "y", hjust = 1) + 
-  # turn off legend
-  guides(color = "none") +
-  # use pretty colors
-  scale_color_viridis_d() +
-  # better formatting for y-axis
-  scale_y_continuous(labels = label_comma()) +
-  # use minimal theme
-  theme_minimal() +
-  # customize labels
-  labs(
-    x = "Days since 10th confirmed death",
-    y = "Cumulative number of deaths",
-    title = "Cumulative deaths from COVID-19, selected countries",
-    subtitle = glue("Data as of", as_of_date_formatted, .sep = " "),
-    caption = "Source: github.com/RamiKrispin/coronavirus"
-  )
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Appendix

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A list of countries in the coronavirus data frame is provided below.

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Bechdel

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Author
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Mine Çetinkaya-Rundel

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In this mini analysis we work with the data used in the FiveThirtyEight story titled “The Dollar-And-Cents Case Against Hollywood’s Exclusion of Women”. Your task is to fill in the blanks denoted by ___.

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Data and packages

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We start with loading the packages we’ll use.

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library(fivethirtyeight)
-library(tidyverse)
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The dataset contains information on 1794 movies released between 1970 and 2013. However we’ll focus our analysis on movies released between 1990 and 2013.

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bechdel90_13 <- bechdel %>% 
-  filter(between(year, 1990, 2013))
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There are ___ such movies.

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The financial variables we’ll focus on are the following:

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  • budget_2013: Budget in 2013 inflation adjusted dollars
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  • domgross_2013: Domestic gross (US) in 2013 inflation adjusted dollars
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  • intgross_2013: Total International (i.e., worldwide) gross in 2013 inflation adjusted dollars
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And we’ll also use the binary and clean_test variables for grouping.

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Analysis

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Let’s take a look at how median budget and gross vary by whether the movie passed the Bechdel test, which is stored in the binary variable.

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bechdel90_13 %>%
-  group_by(binary) %>%
-  summarise(
-    med_budget = median(budget_2013),
-    med_domgross = median(domgross_2013, na.rm = TRUE),
-    med_intgross = median(intgross_2013, na.rm = TRUE)
-    )
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# A tibble: 2 × 4
-  binary med_budget med_domgross med_intgross
-  <chr>       <dbl>        <dbl>        <dbl>
-1 FAIL    48385984.    57318606.    104475669
-2 PASS    31070724     45330446.     80124349
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Next, let’s take a look at how median budget and gross vary by a more detailed indicator of the Bechdel test result. This information is stored in the clean_test variable, which takes on the following values:

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  • ok = passes test
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  • dubious
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  • men = women only talk about men
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  • notalk = women don’t talk to each other
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  • nowomen = fewer than two women
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bechdel90_13 %>%
-  #group_by(___) %>%
-  summarise(
-    med_budget = median(budget_2013),
-    med_domgross = median(domgross_2013, na.rm = TRUE),
-    med_intgross = median(intgross_2013, na.rm = TRUE)
-    )
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# A tibble: 1 × 3
-  med_budget med_domgross med_intgross
-       <int>        <dbl>        <dbl>
-1   37878971     52270207     93523336
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In order to evaluate how return on investment varies among movies that pass and fail the Bechdel test, we’ll first create a new variable called roi as the ratio of the gross to budget.

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bechdel90_13 <- bechdel90_13 %>%
-  mutate(roi = (intgross_2013 + domgross_2013) / budget_2013)
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Let’s see which movies have the highest return on investment.

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bechdel90_13 %>%
-  arrange(desc(roi)) %>% 
-  select(title, roi, year)
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# A tibble: 1,615 × 3
-   title                     roi  year
-   <chr>                   <dbl> <int>
- 1 Paranormal Activity      671.  2007
- 2 The Blair Witch Project  648.  1999
- 3 El Mariachi              583.  1992
- 4 Clerks.                  258.  1994
- 5 In the Company of Men    231.  1997
- 6 Napoleon Dynamite        227.  2004
- 7 Once                     190.  2006
- 8 The Devil Inside         155.  2012
- 9 Primer                   142.  2004
-10 Fireproof                134.  2008
-# … with 1,605 more rows
-# ℹ Use `print(n = ...)` to see more rows
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Below is a visualization of the return on investment by test result, however it’s difficult to see the distributions due to a few extreme observations.

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ggplot(data = bechdel90_13, 
-       mapping = aes(x = clean_test, y = roi, color = binary)) +
-  geom_boxplot() +
-  labs(
-    title = "Return on investment vs. Bechdel test result",
-    x = "Detailed Bechdel result",
-    y = "___",
-    color = "Binary Bechdel result"
-    )
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What are those movies with very high returns on investment?

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bechdel90_13 %>%
-  filter(roi > 400) %>%
-  select(title, budget_2013, domgross_2013, year)
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# A tibble: 3 × 4
-  title                   budget_2013 domgross_2013  year
-  <chr>                         <int>         <dbl> <int>
-1 Paranormal Activity          505595     121251476  2007
-2 The Blair Witch Project      839077     196538593  1999
-3 El Mariachi                   11622       3388636  1992
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Zooming in on the movies with roi < ___ provides a better view of how the medians across the categories compare:

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ggplot(data = bechdel90_13, mapping = aes(x = clean_test, y = roi, color = binary)) +
-  geom_boxplot() +
-  labs(
-    title = "Return on investment vs. Bechdel test result",
-    subtitle = "___", # Something about zooming in to a certain level
-    x = "Detailed Bechdel result",
-    y = "Return on investment",
-    color = "Binary Bechdel result"
-    ) +
-  coord_cartesian(ylim = c(0, 15))
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