Someone sent me this via Twitter, found on the Data is Beautiful reddit:
The chart does not deliver on its promise: It's tough to know which birds like which seeds.
The original chart was also provided in the reddit:
I can see why someone would want to remake this visualization.
Let's just apply some Tufte fixes to it, and see what happens.
Our starting point is this:
First, consider the colors. Think for a second: order the colors of the cells by which ones stand out most. For me, the order is white > yellow > red > green.
That is a problem because for this data, you'd like green > yellow > red > white. (By the way, it's not explained what white means. I'm assuming it means the least preferred, so not preferred that one wouldn't consider that seed type relevant.)
Compare the above with this version that uses a one-dimensional sequential color scale:
What else is grabbing your attention when it shouldn't? It's those gridlines. Push them into the background using white-out.
The gridlines are also too thick. Here's a slimmed-down look:
The visual is much improved.
But one more thing. Let's re-order the columns (seeds). The most popular seeds are shown on the left, and the least on the right in this final revision.
Look for your favorite bird. Then find out which are its most preferred seeds.
Here is an animated gif to see the transformation. (Depending on your browser, you may have to click on it to view it.)