#dataviz – JeremyPK

GitHub Pages

Checking out GitHub Pages has been on my ToDo List for a while. Today I finally got to it. It’s actually a straightforward process. I used GitHub Pages documentation and this video from Chris Goranson to cross this off the list. Image below, and live site where I’ll keep some #dataviz fun is here.

Which Viz Type is Best?

It’s important to leverage the best data visualization approach applicable to the task at hand. Here is one of the better guides I’ve found to aid your efforts. Thanks to the Financial Time Visual Journalism team for creating this. Check out their GitHub Toolbox for more!

Trying some Datawrapper

Using the Saturday Night Live cast data from Wikipedia, I tried out Datawrapper’s simple bar chart showing the season duration of all the cast members in the show’s 45 year history. I had already done some data prep in Google Sheets so it was very easy.I like the embedding option which makes dataviz additions veryContinue reading “Trying some Datawrapper”

Ohio State versus Michigan Football

Made a quick viz showing some of the data re: the Ohio State vs Michigan rivalry. I’d like to make another draft with updated formatting and some BANs etc.https://public.tableau.com/profile/jpkeeton#!/vizhome/OhioStatevMichiganFootball/OSUvMichigan Describing the process, I copied the data from Wikipedia into Google Sheets. I then split, trimmed and used some Regexreplace to get the data in shape.Continue reading “Ohio State versus Michigan Football”

#certifiablytableau !

Along with my completion of the University of Washington’s Data Visualization Certificate in 2017, today I earned the Tableau Desktop Specialist Certificate. I hope to successfully complete the Tableau Desktop Certified Associate exam in the coming months.

Python Viz

I’ve been drilling some Python data visualization libraries. Here are a few I’ve been playing with. Matplotlib Plotly Seaborn Altair Here is a quick Matplotlib example, simply displaying the number of NCAA women’s volleyball championship wins across a few Division 1 schools.