Google Code-in

This task involves reading real-world data and obtaining data-driven insights around R-Ladies Meetup events in 2018 and 2019. These events were extracted from the Meetup API for over 180 R-Ladies chapters

1. Read the data files into R:

a. https://github.com/r-community/event-explorer/blob/master/docs/data/rladies_events_2019.rds?raw=true

b. https://github.com/r-community/event-explorer/blob/master/docs/data/rladies_events_2018.rds?raw=true

For each dataset:

1. Obtain a count (frequency) of events for each group and visualize the top 50 groups
2. Obtain a count (frequency) of events for each city (venue_city) and visualize the top 50 cities (ignore NA values)
3. Obtain a count (frequency) of events per country and visualize the top 20 countries (ignore NA values)
4. Compute (in percentage) the increase of R-Ladies events from 2018 to 2019
5. Provide a month-by-month comparison of R-Ladies events for 2018 and 2019 in a CSV table with visualization (as a two line charts in one plot.

Submit an R script and your visualizations. Your code should be reusable - assuming we have another set of similar data but with other dates, your code should also be able to produce accurate results with little or no changes.