Google Code-in

This task involves reading real-world data and obtaining useful summaries about the growth of R User Groups globally between 2018 and 2019.

Tasks for R User Groups:

1. Read the following data into R: https://raw.githubusercontent.com/benubah/r-community-explorer/master/docs/data/rugs.csv
2. Obtain the number of user-groups that were created in 2018. 2a. Compute the total number of members in these groups 2b. Compute the total number of past_events for these groups 2c. In how many countries and cities are these groups located
3. Obtain the number of user-groups that were created in 2019. 3a. Compute the total number of members in these groups 3b. Compute the total number of past_events for these groups 3c. In how many countries and cities are these groups located?
4. Visualize the comparison of the numbers obtained in 2 and 3

Once you have completed the above tasks, the code you created should be able to automatically solve the tasks below without any further work except changing the input data.

Tasks for R-Ladies Chapters:

1. Read the following data into R: https://raw.githubusercontent.com/benubah/r-community-explorer/master/docs/data/rladies.csv
2. Same as in R User Groups above
3. Same as in R User Groups above
4. Same as in R User Groups above

Submit separate scripts for R User Groups and R-Ladies Chapters