This repo contains materials from two presentations where we analyzed the text from @WeAreRLadies' tweets:
- A talk presented to R-Ladies Chicago on August 14, 2019
- A lightning talk presented at rstudio::conf(2020) on January 30, 2020
The script follows tutorials from Text Mining with R.
@WeAreRLadies is the rotating curation account of R-Ladies Global.
There are two data files, found here (one used for each talk):
rocur_tweets_thru_June2019.csv
was used for the talk at R-Ladies Chicagorocur_tweets_thru_Dec2019.csv
was used at rstudio::conf(2020)
The data files have the following columns:
- Tweet.id
- Tweet.permalink
- Tweet.text
- date
- time_only
- time (timestamp with both date and time)
- impressions
- engagements
- engagement.rate (calculated as engagement / impressions)
- retweets
- replies
- likes
- Start (curator start date)
- End (curator end date)
- Curator (curator name)
- Twitter (curator twitter handle)
- Student (self-reported student status, 1=Student; 0=Not a student)