Datawrapper burst on the scene a few years ago with an innovative approach to visualizing data, and has been used by a number of great newspapers since. We love to see different approaches to analyzing and presenting data on the web—the data world is large, and there is room for lots of innovation. Datawrapper is seeing tremendous growth and just announced it needs to begin to charge for the service,to support its infrastructure.
The Tableau Public team loves December: we get to take a look back at the year, appreciate once again the creations of talented data visualizers from around the world, and consider just how far the community has come.
Information Design is playing an increasingly critical role in every project that uses data and quantitative information to communicate facts or stories, and more and more data visualizations can be compound, rich and multi-layered.
Editor's note: As part of Tableau Design Month - Part 2 we are excited to have Tableau's social media manager, blogger (GravyAnecdote.com) and all round data viz guru Andy Cotegreave contributing this guest blog post for us.
Figure 1 US Fatalities dashboard (click image to view interactive version)
At this year’s Tableau Conference in Seattle, I held a session called Pimp My Viz. Here’s the teaser for it:
Editor's note: As part of Tableau Design Month - Part 2 we are excited to have Dwight Worley from The Journal News/LoHud.com contributing this guest blog post for us.
A lot of people don't know this but before I entered the world of Pokemon and Hello Kitty visualizations, I actually did some serious data work. I interned at a thinktank in Arizona helping them do data analysis for their annual Congressional Report Card. We had a monster of an Excel workbook filled with data about how every state congress member voted and how that scored in the metrics that this thinktank defined. Since it's Politics Month, I figured I'd revisit my past a bit and take a look at some national congressional data:
For #VizTheVote month, I found some surface level data about the 100 United States Senators – name, party, class, and website. At first, I wasn’t sure of what kind of viz to make because there were many different angles I could take. Did I want my readers to learn more about the individual senators? Or, did I find meaning in showing the relationships between senators among states, parties and classes?
I began to explore and ask questions of my data. My first question was: which states have senators from two parties and which have two senators from the same party?