Tag Archives: choropleth

Uber vs. Taxi (in New York)

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.

Share in New York

Share in New York

Credit for the piece goes to Reuben Fischer-Baum.

What is the Minimum Wage Worth

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

The purchasing power of minimum wage

Credit for the piece goes to the Pew Research Centre.

Your Average Daily Sunshine

(Hint, it’s not me.)

I was talking with someone the other day about how I dislike warm weather. Give me nice, cool, crisp weather any day of the week. And also how I am okay without sunshine—a cool, misty, grey day is lovely. Much of weather, of course, is determined by sunlight, energy, hitting the Earth. Well, just a few weeks ago the Washington Post published a piece looking at daily sunlight. At the end of the piece it has a nice small multiple graphic too.

Average daily sunlight

Average daily sunlight

Credit for the piece goes to the Washington Post graphics department.

Greek Referendum Results

So when I initially planned to do this post for today, I thought the results would be a lot closer and the data display more interesting. But, I was wrong. It turns out the Greeks voted overwhelmingly against the European Union’s offer in a greater than 60–40 result. But, here we go anyways, a whole lot of no in this piece from the Guardian.

Turns out Greeks don't want austerity

Turns out Greeks don’t want austerity

Credit for the piece goes to the Guardian’s graphics team.

Does Your Hometown Impact Your Odds of Marriage?

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

Chester Co., PA is almost even politically, but slightly less likely to marry

Credit for the piece goes to David Leonhardt and Kevin Quealy.

Tornadoes

I just returned from my trip to Kansas City last night. Kansas, if you did not know it, exists within what people call Tornado Alley. That means they receive a lot of tornadoes. But what are tornadoes beyond the plot points of mid-90s action films? Basically complicated micro-weather systems. So complicated we still don’t entirely understand them. But the National Post looks at explaining what we do know.

Inside a tornado

Inside a tornado

Credit for the piece goes to Andrew Barr and Mike Faille.

How Your Hometown Impacts Your Future Earnings

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

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 UK General Election

Well for those of you among my British audience, today is the big day. Can Malcolm Tucker save Nicola Murray from—wait, nope, that’s fictional British politics. But that doesn’t mean today’s results won’t be exciting. For those of you now from the UK, a majority of my readers, the UK is looking at what is called a hung parliament. In other words, nobody will win a majority of seats, which means that smaller parties will need to be included in a coalition government, a sort of fairly new—but also not really—development in British politics.

We could dive deep into all of these, but I have not the time. But, let’s start with the Guardian. They have a nice set of polling and prediction guesstimators. What is really nice, however, is the seat changing graphics. These show you where the gains and losses are predicted to originate.

The Guardian's predictions

The Guardian’s predictions

The BBC has a much less involved piece. This is the only thing I can find. However, the BBC will undoubtedly have interesting visuals during their live broadcast of the results. Jeremy Vine can always be counted on for weird presentational things. Oh, and they have the swingometer.

The BBC's poll tracker

The BBC’s poll tracker

Back in April we looked at the Fivethirtyeight predictions. And we might as well throw the latest screenshot up and compare that to the Guardian and the BBC.

Fivethirtyeight's updated predictions

Fivethirtyeight’s updated predictions

The Economist has a nice poll tracker with some simple controls for some simple filtering. But, these are, like the BBC’s, without an impact of number of seats. The Economist does, however, offer a separate build-your-own-majority calculator. 

What the Economist shows on their Election homepage

What the Economist shows on their Election homepage

The New Statesmen has built a site dedicated to May 2015, and their current predictions are as follows below.

New Statesmen's predictions

New Statesmen’s predictions

The only drawback to all of these pieces is that I will be busy coaching softball tomorrow night. So I will be unable to watch the BBC’s coverage of election results. And that is most unfortunate, because British politics are far more fascinating than the bland and boring two-party politics of the United States.

Credit for the Guardian piece goes to Caelainn Barr, Helena Bengtssoni, Chia-Jung (Apple) C.Fardel, Seán Clarke, Cath Levett, Alberto Nardelli, and Carlo Zapponi.

Credit for the BBC piece goes to the BBC graphics department.

Credit for the Fivethirtyeight piece goes to Matthew Conien and Ritchie King.

Credit for the Economist piece goes to the Economist’s graphics department.

Credit for the New Statesmen piece goes to the May 2015 graphics team.

Context for the Baltimore Riots

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

The racial makeup of the neighbourhoods witnessing riots

Credit for the piece goes to Jon Schleuss, Kyle Kim, and the LA Times graphics department.

Predicting the UK General Election Results

(To be fair, I forgot to schedule to publish this post before I left somehow.)

Your humble author is still on holiday. So, today, you can enjoy a nice interactive piece from FiveThirtyEight that predicts the results of the 7 May general election. Of particular interest, the box part of the plot that shows the 90% confidence range.

Dot plotting the results

Dot plotting the results

The piece also has a choropleth map. My only feature request(s) would be to have a zoom feature for urban constituencies and/or to have a search field that allows the user to see the predicted results for a specific constituency.

Credit for the piece goes to Matthew Conlen and Ritchie King.