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shiny for accessing to clean fuels for cooking vs gdp per capita

Siyi Li (29018102)

In this shinyapp, the package is used including: shiny, plotly, tidyverse, crosstalk, DT, ggplot2

Please install all this package before you visit the shinyapp.

install.packages(c("shiny", "crosstalk", "plotly", "DT", "tidyverse", "here","ggplot2"))

How to run the app

  • About the chart section, which shows the access to the fuels for cooking and GDP per capita.

On the upper left of the chart, you can click the Linearize x-axis to get the different chart which has the linear x-axis (the value on the x-axis without the log10 transformation).

On the upper right of the chart, you could click Hide countries < 1 million to filter out the countries which has population size less than 1 million.

On the middle, you could find a box which has the lable Which country do you want to analyze, you can select one or more countries and get their information.

On the bottom of the chart, you also can find a time bar, you can move the circle button to see the points(different countries) in different years.

Finally, you can click each point to get more details.

  • About the table section, you can click the top of the table button to get the whole dataset.

The table contains the variables like continent, country, code, year, new_cooking, new_gdp_per_capita and population. in each variable column, you could sort the variable with decreasing or incresing order.

You also can search something that you are interested in.

  • About the about section, you can find more information from the source link, and you can find my Github from the Github link.

Session Information

The session information is:

 sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value                       
#>  version  R version 4.1.1 (2021-08-10)
#>  os       macOS Catalina 10.15.7      
#>  system   x86_64, darwin17.0          
#>  ui       X11                         
#>  language (EN)                        
#>  collate  en_AU.UTF-8                 
#>  ctype    en_AU.UTF-8                 
#>  tz       Australia/Melbourne         
#>  date     2021-09-24                  
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date       lib source        
#>  cli           3.0.1   2021-07-17 [1] CRAN (R 4.1.0)
#>  digest        0.6.27  2020-10-24 [1] CRAN (R 4.1.0)
#>  evaluate      0.14    2019-05-28 [1] CRAN (R 4.1.0)
#>  fastmap       1.1.0   2021-01-25 [1] CRAN (R 4.1.0)
#>  htmltools     0.5.2   2021-08-25 [1] CRAN (R 4.1.0)
#>  knitr         1.33    2021-04-24 [1] CRAN (R 4.1.0)
#>  magrittr      2.0.1   2020-11-17 [1] CRAN (R 4.1.0)
#>  rlang         0.4.11  2021-04-30 [1] CRAN (R 4.1.0)
#>  rmarkdown     2.10    2021-08-06 [1] CRAN (R 4.1.0)
#>  rstudioapi    0.13    2020-11-12 [1] CRAN (R 4.1.0)
#>  sessioninfo   1.1.1   2018-11-05 [1] CRAN (R 4.1.0)
#>  stringi       1.7.4   2021-08-25 [1] CRAN (R 4.1.0)
#>  stringr       1.4.0   2019-02-10 [1] CRAN (R 4.1.0)
#>  withr         2.4.2   2021-04-18 [1] CRAN (R 4.1.0)
#>  xfun          0.25    2021-08-06 [1] CRAN (R 4.1.0)
#>  yaml          2.2.1   2020-02-01 [1] CRAN (R 4.1.0)
#> 
#> [1] /Library/Frameworks/R.framework/Versions/4.1/Resources/library

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