Silence in design makes sense sometimes. So when I make a chart for a federal client’s report, it’s not me speaking. So most likely, I should not be seen in the design. In these instances you would not recognize my work. It’s just clean and minimalist with colors based on the project. But there are […]
The Future of Data Visualization: Three Predictions
Prior to the holiday season Ann K Emery asked a group of us bloggers to come up with some data visualization predictions for the upcoming year. Here are 3 of my own predictions based on some of the things I already see happening (a.k.a. projections). What are your predictions? Let me know in the comments. […]
It’s a #dataviz Christmas cartoon post
This kind of cartoon post happens when you’re writing about data visualization in front of a Christmas tree. An Infographic to Santa Santa’s naughty list dashboard Dataviz Sweater Party
Why you should create a minimum viable visual
The infographic was not going to be a finalist in any design competition. The font was tiny. The few colors just didn’t seem to gel. It was printed small with strange dimensions. Definitely not going to find this one on any blogger’s top 100 list. But that’s out of context. Listening to the evaluator talk […]
The four words that can kill any visual project
I don’t like it. Data visualization experts love to talk about effectiveness, which chart type is better than which other chart type. And while I think the discussion can be helpful sometimes it also misses a big point. Most researchers and evaluators are not making bad visuals, they’re making no visuals (or very few visuals). […]
Build a Qualitative Dashboard
Why is it that so many attempts to visualize qualitative data start by quantifying the data? Qualitative data is special because it’s deep and rich. There is huge value in learning lots about a little. But when we present that data, we often remove the richness that makes qualitative data special. Anyone who has ever […]