So this month the articles I’ve chosen as the favourite takes on data visualisation (or ‘data viz’) that I’ve read recently are quite a mixture.

The most misleading charts of 2015

Actually, I read this article quite some time ago and have been saving it to share. I saw the charts here, and the corresponding furores in the data viz community each time, as analysts with points to prove used data visualisation in misleading ways to drive their own points home.

I always find it instructive to look at how little changes (little data viz deceptions?) can totally alter the meaning of data.

Global warming

One of the charts in the misleading charts article shows how you can make global warming look negligible if you start the temperature axis at zero instead of focusing on the one degree of temperature change that has occurred over the past century.

My next selected article uses the better version of that chart, focused on the temperature change, and examines possible causes which are proposed by global warming skeptics to suggest that increases in CO2 aren’t the main factor.

Of course, correlation doesn’t necessarily mean correlation. However, this series of charts is beautifully created and builds a super strong case for CO2 increases being the most at fault.

Less common graphs

Cole Nussbaumer, who I’ve quoted here before, has created a lovely article on ways to use charts which aren’t in regular usage in industry. In her article she references a data viz book she’s written and a section on the 12 charts she uses most herself, which would also be an interesting read.

London House Prices

This next visualisation is a map of London, showing how house prces are expected to continue to rise between now and 2018.

There are also, for some boroughs, some interesting snippets of information about how house prices have risen in the past 10 years or how particular parts of the borough are likely to be influenced more. In the part of East London where I live, prices are expected to rise a measly(?) 17% over the next three years, whilst properties down by the Royal Docks could rise as much as 50%

And finally …

Look how wide pipes into the US would have to be to carry liquid in at 4 m/s: