Australian politics research, based on data from Twitter and other open sources

The workflows at the moment, listed below in the order required to run

1. data-collection.R - scrapping Australian parlament website for data of Members of Parlaments (MPs) Reference to blog post with more detailed explanation of the approach - https://levashov.biz/scrapping-data-about-australian-politicians-with-rselenium/
2. tweets-collection.R - collecting tweets from MPs
3. analysis.R - analysis of data

1. dbcollection-rtweet.R initial collection of data (larger number), saving to results to the database (DB was used in past, not anymore)
2. tweet-update.R script is running daily on schedule, collects the data and saves to the data file on S3
3. visualization.R some visualization
4. AUPolVizual/app.R Shiny R Application with visualization, available publically at https://rserv.levashov.biz/shiny/rstudio/

Retainer with DB suffix