Yesterday we looked at how China and the European Union are planning their tariff/trade war retaliation to target Trump voters. Today let’s take a look at how those voters are doing as this article from Bloom does.
The article is not terribly complicated. We have four choropleth maps at the county level. Two of the maps isolate Trump-won counties and the other two are Clinton-won. For each candidate we have a GDP growth and an employment growth map.
In the Trump-won maps, the Clinton-won counties are white, and vice versa. Naturally, because the Democratic vote is greatest in the large cities, which, especially on the East Coast, are in tiny counties, you see a lot less colour in the Clinton maps.
Design wise, I should point out the obvious that green-to-red maps are not usually ideal. But the designers did a nice job of tweaking these specific colours so that when tested, these burnt oranges and green-blues do provide contrast.
But I am really curious to see this data plotted out in a scatter plot. Of course the big counties in the desert southwest are noticeable. But what about Philadelphia County? Cook County? Kings County? A scatter plot would make them equally tiny dots. Well, hopefully not tiny. But then when you compare GDP growth and employment growth and benchmark them against the US average, we might see some interesting patterns emerge that are otherwise masked behind the hugeness of western counties.
But lastly. And always. Where. Are .Alaska. And. Hawaii? (Of course the hugeness problem is of a different scale in Hawaii. Their county equivalents are larger than states combined.)
Credit for the piece goes to the Bloomberg graphics department.
A few days ago I posted about the front cover graphic for the New York Times that used a choropleth to explore 2017 economic growth. Well, this morning whilst looking for something else, I came across the online version of the story. And I thought it would be neat to compare the two.
Again, nothing too crazy going on here. But the most immediately obvious change is the colour palette. Instead of using that green set, here we get a deep, rich blue that fades to light very nicely. More importantly, that light tan or beige colour contrasts far better against the blue than the green in the print version.
The other big change is to the small multiple set at the bottom. Here they have the space to run all twelve datasets horizontally. In the earlier piece, they were stacked six by two. It worked really well, but this works better. Here it is far easier to compare the height of each bar to the height of bars for other countries.
January is the month of forecasts and projections for the year to come. And the Economist is no different. Late last week it published a datagraphic showcasing the GDP growth forecasts of the Economist Intelligence Unit. I used to make this exact type of datagraphic a lot. And I mean a lot. But what I really enjoy is how successfully this piece integrates the map, the bar chart, and the tables to round out the story.
The easy thing to do is always the map, because people like maps. They can be big, and if the data set is robust, full of data and colour. But maps hide and obscure geographically small countries. And then you have to assume that people know all the countries in the world. Problem is, most people do not.
So the bar chart does a good job of showing each country as equals, a slim vertical bar. In such a small space, labelling every country is impossible, but the designers chose a select number of countries that might be of interest and called them out across the entire series.
Lastly, people always like to know who is #winning and who is a #loser. So the tables at the extreme ends of the chart showcast the top and last five.
I may have rearranged some of the elements, and dropped the heavy black rules between the bins on the legend, but overall I consider this piece a success.
Credit for the piece goes to the Economist Data Team.
We have a scatterplot from the Financial Times that looks at wage and economic growth across the OECD, focusing on the exception that is the United Kingdom. And that is not an exception in the good sense.
The UK had the rare privilege of experiencing economic growth—that’s good—while simultaneously wages fell—that’s bad. But I wanted to comment on the chart today.
Straight off the bat, the salmon-coloured background does not bother me. That is FT’s brand and best to stick to it and make your graphics work around it. Possibly the colours in the plot could use a bit of a push to increase separation, but that is more a design quibble. Instead, I am not too keen on the colour coding here.
Not that the colours need not be applied, but why to the dots? Note how the dots of a colour fall into one of the quadrants. Instead of having people refer to the legend, incorporate the legend into the chart by moving the labels to the plot background. You could colour code the labelling or even colour the quadrants to make it a bit clearer.
Credit for the piece goes to the Financial Times graphics department.