The survey results are being imported into a Rstudio server automatically using a cron job which runs at a defined time period from a google spreadsheet which is in turn linked to the google form.
The dataframe created from the survey is being analyzed using the following packages:
- dplyr (Wickham, François, et al. 2019)
- data.table (Dowle and Srinivasan 2019)
- ggplot2 (Wickham, Chang, et al. 2019)
- lubridate (Spinu, Grolemund, and Wickham 2018)
- googlesheets (Bryan and Zhao 2018)
All thanks to the creators and maintainers of the respective packages as well as R (R Core Team 2018) and Rstudio.
References:
Bryan, Jennifer, and Joanna Zhao. 2018. Googlesheets: Manage Google Spreadsheets from R. https://CRAN.R-project.org/package=googlesheets.
Dowle, Matt, and Arun Srinivasan. 2019. Data.table: Extension of ‘Data.frame‘. https://CRAN.R-project.org/package=data.table.
R Core Team. 2018. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2018. Lubridate: Make Dealing with Dates a Little Easier. https://CRAN.R-project.org/package=lubridate.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, and Hiroaki Yutani. 2019. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2019. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.