Update weekly-challenge-4.md

07_data-analysis-r/04_more-about-visualizations-aesthetics-and-annotations/graded-assessment/weekly-challenge-4.md

@@ -159,4 +159,253 @@ What code chunk do you add to the third line to save your plot as a jpeg file wi
 * `ggsave(penguins.jpeg)`
 * `ggsave("jpeg.penguins")`
 
-> You add the code chunk `ggsave("penguins.jpeg")` to save your plot as a jpeg file with "penguins" as the file name. Inside the parentheses of the ggsave() function, type a quotation mark followed by the file name (penguins), then a period, then the type of file (jpeg), then a closing quotation mark. 
+> You add the code chunk `ggsave("penguins.jpeg")` to save your plot as a jpeg file with "penguins" as the file name. Inside the parentheses of the ggsave() function, type a quotation mark followed by the file name (penguins), then a period, then the type of file (jpeg), then a closing quotation mark. 
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+Question 1
+Which of the following are benefits of using ggplot2? Select all that apply. 
+
+0.25 / 1 point
+
+- [x] Customize the look and feel of visuals
+
+Correct
+
+Make complex data easier to understand
+
+
+Create plots using a single function
+
+This should not be selected
+Review the video on visualizations in R.
+
+
+Automatically version control plots
+
+This should not be selected
+Review the video on visualizations in R.
+
+2.
+Question 2
+Fill in the blank: In ggplot2, you use the _____ to add layers to your plot.
+
+1 / 1 point
+
+The pipe operator (%>%)
+
+
+- [x] The plus sign (+)
+
+
+The ampersand symbol (&)
+
+
+The equals sign (=)
+
+Correct
+3.
+Question 3
+A data analyst creates a plot using the following code chunk: 
+
+ggplot(data = buildings) + 
+
+    geom_bar(mapping = aes(x = construction_year, color = height))
+
+Which of the following represents a variable in the code chunk?
+
+1 / 1 point
+
+- [x] construction_year
+
+
+ggplot
+
+
+mapping
+
+
+data
+
+Correct
+4.
+Question 4
+In ggplot2, which of the following aesthetic attributes can you use to map variables to points? Select all that apply. 
+
+1 / 1 point
+
+Facet 
+
+
+- [x] Size 
+
+Correct
+
+- [x] Color
+
+Correct
+
+- [x] Shape
+
+Correct
+5.
+Question 5
+A data analyst creates a scatterplot with many data points. The analyst wants to make some points on the plot more transparent than others. What aesthetic should the analyst use? 
+
+1 / 1 point
+
+Fill
+
+
+Color
+
+
+- [x] Alpha
+
+
+Shape 
+
+Correct
+6.
+Question 6
+You are working with the penguins dataset. You create a scatterplot with the following code chunk: 
+
+ggplot(data = penguins) +
+
+    geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g))
+
+You want to highlight the different years of data collection on your plot. Add a code chunk to the second line of code to map the aesthetic alpha to the variable island.
+
+NOTE: the three dots (...) indicate where to add the code chunk. You may need to scroll in order to find the dots. 
+
+1
+geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g, shape = island))
+Reset
+
+ What islands does your visualization display?
+
+1 / 1 point
+
+- [x]  Biscoe, Dream, Torgersen  
+
+
+ Biscoe, Java, Buton
+
+
+ Cebu, Java, Hispaniola  
+
+
+ Cebu, Borneo, Torgersen  
+
+Correct
+Review the video that discusses aesthetics.
+
+7.
+Question 7
+A data analyst has a scatter plot with crowded points that make it hard to identify a trend. What geometry function can they add to their plot to clearly indicate the trend of the data?
+
+0 / 1 point
+ANSWER SHOULD BE THIS
+- [x] geom_smooth()
+
+
+geom_jitter()
+
+
+geom_bar()
+
+
+geom_alpha()
+
+Incorrect
+Review the video ongeoms.
+https://www.coursera.org/learn/data-analysis-r/lecture/qoIua/doing-more-with-ggplot
+
+8.
+Question 8
+You are working with the diamonds dataset. You create a bar chart with the following code:
+
+ggplot(data = diamonds) +
+
+  geom_bar(mapping = aes(x = color, fill = cut)) +
+
+You want to use the facet_wrap() function to display subsets of your data. Add the code chunk that lets you facet your plot based on the variable color. 
+
+12
+facet_wrap(~color)
+
+Reset
+
+How many subplots does your visualization show?
+
+1 / 1 point
+
+9
+
+
+6
+
+
+- [x] 7
+
+
+8
+
+Correct
+You add the code chunk facet_wrap(~color) to facet your plot based on the variable color. The correct code is ggplot(data = diamonds) + geom_bar(mapping = aes(x = color, fill = cut)) + facet_wrap(~color). Inside the parentheses of the facet_wrap() function, write a tilde symbol (~) followed by the name of the variable you want to facet. The facet_wrap() function lets you display subsets of your data.
+
+Your visualization shows 7 subplots. 
+
+9.
+Question 9
+A data analyst wants to add text elements inside the grid area of their plot. Which ggplot function allows them to do this?
+
+1 / 1 point
+
+labs()
+
+
+text()
+
+
+- [x] annotate()
+
+
+facet()
+
+Correct
+10.
+Question 10
+You are working with the penguins dataset. You create a scatterplot with the following lines of code: 
+
+ggplot(data = penguins) + 
+
+  geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g)) + 
+
+What code chunk do you add to the third line to save your plot as a jpeg file with “penguins” as the file name? 
+
+1 / 1 point
+
+ggsave(penguins.jpeg)
+
+
+- [x] ggsave(“penguins.jpeg”)
+
+
+ggsave(penguins)
+
+
+ggsave(“jpeg.penguins”)
+
+Correct