Members-only updates on FlowingData, maintained by @flowingdata
This week is about highlighting differences and visualizing characteristics over the data itself.
This is the good stuff for October.
When there is data (or lack of it), we like to visualize it. Sometimes though, a straightforward table can be better.
Here are tools you can use, datasets to poke at, and resources to learn from.
Because no one is perfect, even those striving for PhD-level intelligence.
Tools to use, datasets to poke at, resources to learn from. This is the good stuff for the month.
I am sorry in advance, but I have to talk through something you are probably tired of hearing about: AI. For data visualization.
Focus on the audience who matters and ignore the rest who only want to see data that validates narrow views.
This is the good stuff for June: tools to use, datasets to analyze, and resources to learn from.
This week we make it easier to compare multiple charts when differences are small but significant.
The good stuff from May: tools you can use, data to play with, and resources to learn from.
This week we look at how the same data can easily lead to different conclusions that can all be correct, even when they conflict.
This week we look at the step chart and how to highlight specific patterns in the steps.
Look for outside reasons, or confounding factors, for why things show up in the data.
Chart selection can be a mechanical process that fits into a simple flow chart, but this limits your possibilities.
The good stuff from April: Here are tools you can use, data to play with, and resources to learn from.
Here are tools you can use, data to play with, and resources to learn from that bubbled up in February.
Here are things you can use, poke at, and learn from that bubbled up this past month.
Here is the good stuff for October.
This week, I heard that stats are for losers. I had to check it out, because I’ve always thought stats were for winners.