Part of an ongoing project, once finished I will post all related code. Tweets were scraped using this NodeJS scraper I made a while back. Hash array was populated with
['#BlueWave','#RedWave'] with a slight modification to the filename which is now
'tweets.' + String(new Date().toISOString().slice(0,10)) + '.json' so that they are split by date.
Visualized in R/ggplot and combined with Patchwork. Over 374k tweets. The final analysis will be much more in-depth.