The purpose of this project is to scan all geotagged tweets sent in 2020 to monitor for the spread of the coronavirus on social media. This project was divided into three main components:

1. Mapping
2. Reduing
3. Visualizing

The map.py file processes the zip file for an individual day. The shell script run\_maps.sh takes advantage of the glob operator and a simple for loop, paired with a no hup command to process all tweets from 2020 in parallel. After being mapped, the files were reduced into a file for language data and a file for country data, under reduced.lang and reduced.country. The last step was visualizing the top ten countries and languages per input hashtag, the results graphs tested on #coronavirus and #코로나바이러스. The Korean hashtag was accommodated in the figures through custom font loading.

The outputs from the MapReduce exercise are as follows: