I just spent the weekend back in my hometown of Philadelphia and while we walked most places, there were a few Uber rides. As someone who doesn’t use the app and normally will hail a taxi when necessary, I had been looking forward to posting this piece. FiveThirtyEight looked at data for New York comparing Uber to taxis.
The minimum wage of $15 per hour does not necessarily mean the same thing to everyone all across the country. Based on where one lives, the purchasing power of a dollar might make minimum wage worth more or less than $15. The Pew Research Centre put together a map showing where $15 is worth more or less.
The purchasing power of minimum wage
Credit for the piece goes to the Pew Research Centre.
In today’s post we look at a graphic made by the South China Morning Post to explain the Greek Crisis. The graphic does a nice job anchoring the story in a combined chart and timeline. The reader then continues down the piece learning about additional points from demographics to text-based explanations.
The combined chart and timeline
Credit for the piece goes to the South China Morning Post graphics department.
Last week we looked at the New York Times piece on where you grew up’s impact on future income. This week, we look at their follow-on piece, how your hometown impacts your odds of getting married. The piece includes some nice interactive choropleth maps, but my favourite part is the scatter plot correlating politics (as determined by 2012 election votes) to marriage. My hometown (‘s county) is highlighted in the screenshot below.
Chester Co., PA is almost even politically, but slightly less likely to marry
Credit for the piece goes to David Leonhardt and Kevin Quealy.
Today we have a really interesting piece from the New York Times. In terms of visualisations, we see nothing special nor revolutionary—that is not to say it is not well done. The screenshot below is from the selection of my hometown county, Chester County in Pennsylvania. Where the piece really shines is when you begin looking at different counties. The text of the article appears to be tailored to fit different counties. But with so many counties in the country, clearly it is being done programmatically. You can begin to see where it falls apart when you select rather remote counties out west.
How the poor in Chester County fare
But it does not stop simply with location. Try using the controls in the upper right to compare genders or income quartiles. The text changes for those as well.
Credit for the piece goes to Gregor Aisch, Eric Buth, Matthew Bloch, Amanda Cox, and Kevin Quealy.
The other day I misread a poster on the road that “The Cool Century” for “The Coal Century”. That is the origin of today’s title. The origin of today’s piece, however, is Bloomberg, which looked at the impact of some new environmental regulations on the coal industry vis-a-vis dozens of coal power plants.
Basically, you have a map with plant size indicated by the dot size, and the type of plant by the colour of the dot. The line chart to the right shows total coal capacity. Overall, it’s a nice, clear, concise graphic. Two buttons give the user immediate access to the story: the pre-regulated environment—see what I did there?—and then then post-regulated one.
Credit for the piece goes to Eric Roston and Blacki Migliozzi.
Baltimore is going crazy, if you haven’t heard. So the LA Times put together a set of maps putting the riots in context. They look at the racial makeups of the neighbourhoods with the violence along with median income and education.
The racial makeup of the neighbourhoods witnessing riots
Credit for the piece goes to Jon Schleuss, Kyle Kim, and the LA Times graphics department.
Today’s piece comes via my co-worker and is about the growth of urban Walmart stores. The article is from NPR and includes a nice series of small multiples of store locations in three select cities: Washington, Chicago, and Atlanta. In full disclosure, I live about two blocks from one of the urban Walmarts in Chicago. So go figure.
The growth of urban Walmarts
Credit for the piece goes to April Fehling, Tyler Fisher, Christopher Groskopf, Alyson Hurt, Livia Labate, and Ariel Zambelich.
Your humble author is out of town today. And unfortunately he is not watching a ball game. But if he were, he would be drinking a beer. And even more unfortunately, his favourite team and favourite ballpark has the most expensive beer. And most unfortunate, the other two teams he is perhaps most likely to watch have the…same most expensive beer. Business Insider charted the prices and the price per ounce. To be fair, I am often too busy scoring a game to get drunk during a game.
It’s expensive getting drunk at Fenway. And Citizens Bank. And Wrigley.
North Dakota’s economy has been booming because of shale oil. Most of that economic growth has been centred on what was the small city of Williston, North Dakota. Economic growth often leads to population growth, however, and that can at times lead to growth in less than wholesome economic activities. The National Journal took a look at the population growth in the area and what has been happening concurrently in a few metrics of the less wholesome sectors of the economy, i.e. drugs and prostitution. Turns out, they are both up.
Population growth in North Dakota
Credit for the piece goes to Clare Foran and Stephanie Stamm.