KEYWORDS AND SENTIMENTS IN THE TRUMP - CLINTON DEBATE

The Economist published a very interesting data journalism piece about the emotions in the presidential debate Trump versus Clinton. "Using facial-analysis software developed by Microsoft, The Economist has sought to quantify Mr Trump and Mrs Clinton’s emotions during some of the most trenchant moments of the debates".
This analysis focuses on facial expression in the debate, the content however is important as well. Using a transcript of the debate published by The Washington Post , I analyzed the debate on keywords, visualized in word clouds and the sentiments related to the words using R.

Here are the word clouds for key words of Clinton and Trump after the 'more tag':

DYLAN'S DATA with R

The Nobel prize for literature is awarded to Bob Dylan. How to report about that? From a data journalism perspective there are interesting possibilities. NRC Handelsblad published an info graphics. Interesting, but there are other possibilities using R and Tableau. Here are a few examples. If you are interested in the how-to, follow the more tag.