Select Page

Here at Good Brothers we’re all about stories, and nothing tells a story quite like a good data visualisation.

So, without further ado, here’s a list of some of our favourite visualisations, charts, graphics, maps and data journalism of 2018 – some of which you’ve probably already seen, but maybe a few you missed.

The heartbeat of NYC

With some 2million residents, Manhattan is one of the most densely populated places on earth, however, that number doubles to 4million during the day as commuters pour in from the surrounding areas.

Using data from the 2010 Census, The MTA’s turnstile database and an NYU study, Justin Fung created this awesome animation that shows NYC’s daily migration giving the appearance of a living, breathing city.

Check it out here.

Women’s pockets suck

A common annoyance for women everywhere, Jan Diehm and Amber Thomas take a data-led approach to bring scale to the issue of women’s pockets in The Puddings signature scrolly telling style.

After analysing the pocket size of 80 jeans from 20 major fashion brands, including Calvin Klein, H&M, Levi’s, Wrangler and Ralph Lauren, the study found that on average, the pockets in women’s jeans were 48% smaller and 6.5% narrower than those in men’s jeans.

They also tested how some classic pocket dwelling items – such as keys, phones and wallets – fit in men’s and women’s pockets with some surprising results.

Take a look for yourself.

I agree

Have you ever read through those lengthy terms and conditions before accepting them?

Us neither, because a standard agreement contains 11.972 words and takes roughly 60 minutes to read.

To create this piece, Dima Yarovinsky printed out th T’s&C’s for WhatsApp, Google, Tinder, Twitter, Facebook, Snapchat, and Instagram, to highlight just what we’re getting into.

More images available here.

Seven endangered species that could (almost) fit in a single train carriage

The Good Brothers are big fans of Mona Chalabi’s data sketches and this story is no expeption.

This piece for the Guardian highlights the plight of seven species that are so close to extinction that every living specimen could fit into an NYC subway carriage (if they squeeze).

These illustrations take the concept of putting numbers into perspective to a whole new level. The animals are drawn to scale, but even those of the same species include some size variation.

Check out these awesome but also kind of sombre images here.

Gotta analyse ’em all

If this viz was about 20 years ago it would definitely have caused some schoolyard fights.

These hexagonal charts show the base stats – ranging from 1 and a maximum of 255 – for 801 pokemon. Clockwise from the top, that’s Attack, Defense, HP, Special Attack, Special Defense and Speed.

Now if we wanted to be pedantic we could talk about how base stats aren’t the end-all and be-all for a Pokémon’s potential, but they are the best way to compare their relative strengths.

This project was put together by Tableau user Julien Marmiesse, here’s th link.

How far can you drive in an hour?


Ever wondered how far can you drive in one hour in different European capitals? well, wonder no more.

The small white dot marks the center of the city and the starting point for each isochrone. As traffic flow naturally changes throughout the day, there’s a total of 144 isochrones for each city. These have then been overlaid on top of each other on the final map.

For more info on how Topi Tjukanov created these maps, head on over to his site.

The best Mario Kart character according to data science

We know, we know, another video game viz, but this one’s a doozy.

For those of you that have been out of the Mario Kart game for a few years, character selection is no longer a matter of personal preference. 2011’s Mario Kart 7 intorduced customisable cars and now picking a character is a fraught process where there are thousands of options and almost all of them are wrong.

Thankfully, Henry Hinnefeld did the math and found that there are an insane 149,760 potential combinations of character, chassis and car – none of which will stop you falling off Rainbow Road though.

Nike Says Its $250 Running Shoes Will Make You Run Much Faster. What if That’s Actually True?

In this piece for the New York Times, Kevin Quealy and Josh Katz take a look at whether Nike’s Vaporfly running shoe is actually as fast as the company claims.

When the shoe was launched last year, Nike insisted it improved running economy by an average of 4%. Turns out, it does.

After analysing 495,000 marathon and half-marathon times using data from Strava, NYT found that runners who wore Vaporflys, which have a carbon-fibre plate in the soles, did indeed run 3-4% quicker on average than similar runners wearing other shoes, and around 1% faster than those using the next speediest shoe.

Interestingly, this has also ignited a debate as to whether shoes and other forms of cutting-edge technology give atheletes an unfair advantage.

See the study here.

And there you have it, a whistlestop tour of some of our favoutire data projects from 2018. Know of a visualisation that deserves some attention? drop a link in the comments.