All the candidates’ pages were visited more on the day after the election, but Trump had a staggering 5.5 million more views the day after.
The raw hourly page views datasets are updated every hour, which is pretty cool. I bet there are signals in the Wikipedia usage data that would be pretty useful for short-term forecasting a ton of different phenomena.
For those interested, the Jupyter Notebook with Python code to get the data and the R code to make the visualization can be found in the Github repository for this post.
Additionally, all analyses and conclusions presented on this website reflect my views and do not indicate concurrence by the Board of Governors or the Federal Reserve System.