I scraped all the tweets containing the hashtag #MakeDonaldDrumpfAgain
that were posted in March, 2016. For more details about the project check out my blog post.
This reposity contains my ipython notebook drumpf_notebook.ipynb
which includes the entire analysis. High resolution figures can be found in the folder final_figures
. Here are a few:
I've also included the results of a lengthy calcualtion in the folder 14_hr_location_to_state_calculation
, where the tweet user locations (as input by the user) are converted to US states. I created a US city-to-state dictionary for this purpose.
The tweets themselves (in .JSON format) were not included. Their total size is 2.5 GB.