I’ve thought a lot about this connected scatterplot from the Washington Post’s Philip Bump over the previous few months.
I’m not interested in the graph because the data are particularly interesting or I care so much about President Biden’s approval ratings, but instead because it created a bit of a stir in the data visualization Twitter community. Is it bad because many people don’t know how to read a connected scatterplot? Is it good because it layers the two series together?
But, in early January, I saw this tweet from Len Kiefer where he placed two line charts on the left side of the graphic and a connected scatterplot on the right side of the graphic. What a solution! Let people see the two time series independently in a graph form they are familiar with and then also put the two together in the connected scatterplot format!
How would it work with Philip’s chart? I grabbed the data from the two sources listed in his column (FiveThirtyEight and Energy Information Administration housed at the St. Louis FRED tool) and did some quick tabs to get the data close (though not exact) to what he showed. I popped them into Tableau, made two line charts and a connected scatterplot (thank you, Information Lab for the Tableau tutorial), and aligned them in a way similar to Len’s graphic. This is what I end up with.
I gotta say, that’s pretty darn cool. You can see the rise and fall of gas prices over the year in the top graph and the paired fall and rise of Biden’s approval ratings in the bottom graph. I’m not sold on my title for the connected scatterplot (“Concurrent Relationship between Gas Prices and Biden Approval Rating”) but wanted to give it a title rather than leaving that space blank.
I think there is one more step I can apply to further clarify the visual, which is to modify the colors. I color the lines for the first half of the year—when gas prices were heading up and approval ratings down—in orange, and the second half of the year in blue. In this format, I think the pieces hold together a little bit better and the entire graphic becomes clearer.
What do you think? A useful technique? Personally, this might be my new way forward when it comes to connected scatterplots.