- Ryan on the Washington Post graphics team
Qualitative → Quantitative
- Qualitative Analysis: Round 2
- Critique of final posters and process review
- Quantitative Analysis: Intro
- Discussion of everyone’s favorite example visualizations of quantitative data
- Quantitative Analysis: Round 1
- Before ‘designing’ anything, we will be using exploratory visualizations of real, quantitative data to find an initial set of patterns and phenomena of interest.
- For next week you will create at least five graphics using off the shelf tools such as Google Sheets, D3, Tableau, etc. to plot different variables against one another.
- Each chart must be making a different comparison: either using an entirely distinct dataset from the others, or at least a different combination of columns from a common table.
- If you can’t decide whether something should be, for instance, a bar chart vs line graph, please plot both of them but realize that all these views of the same subset of the data only count as a single ‘graphic’ toward the required five.
- For each graphic, add a headline phrased as a claim for which the graphic provides evidence.
- Create a blog post that links to ‘live’ versions of the spreadsheets, web pages, etc. where you’ve created your charts and/or to the csv or json files containing your data. Use the tag “quantitative” when publishing your post.
- Print a single 11×17" page with all your charts and headlines on it (but again, don’t worry about ‘designing’ it per se) and bring this to class.