Google Code-in

This task involves reading real-world data and obtaining data-driven insights around R Meetup events in 2019. These events were extracted from the Meetup API for about 400 R user groups

1. Read the data file into R: https://github.com/r-community/event-explorer/blob/master/docs/data/R_events_2019.rds?raw=true
2. Obtain a count (frequency) of events for each group and visualize the top 50 groups
3. Obtain a count (frequency) of events for each city (venue_city) and visualize the top 50 cities (ignore NA values)
4. Obtain a count (frequency) of events per country and visualize the top 20 countries (ignore NA values)
5. Group the events by local_date, tabulate and visualize the number of events per month using a bar chart.

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.