See – Page 4 – R for Journalists

Melting Drugs Data: Part Two

October 19, 2016October 31, 2016 Rob

See

Before we begin: Hadley Wickham, the reshape2 package creator, pointed me in the direction of the tidyr package for melting data. I’ll take a look at it after this post. As promised from before, a look at @hadleywickham‘s reshape2 package and Home Office drugs data #ddj #rstats https://t.co/Q46eUijsaG — R For Journalists (@rforjournalists) October 18, … Read More “Melting Drugs Data: Part Two” »

Melting Drugs Data: Part One

October 18, 2016October 18, 2016 Rob

See

foundry

Every year the Home Office, which is responsible for drugs policy, carries out an anonymous survey into use of illegal drugs in England and Wales.

Is Unemployment Higher under Labour or the Conservatives?

October 17, 2016October 31, 2016 Rob

See

In the last post we discussed annotations on line plots.

In this post, we are going to take it a step further and look at block annotations.

The History of Strikes in Britain, Told Using Line Plots and Annotations

October 15, 2016October 16, 2016 Rob 2 Comments

See

Strikes don’t really happen too much in Britain any more. A total of 170,000 working days were lost in Britain due to strikes and industrial action in 2015. That might sound like a lot, but it was actually the second lowest on record. And this record goes back to 1891 – one of the longest … Read More “The History of Strikes in Britain, Told Using Line Plots and Annotations” »

How the North Has the Worst Mental Health in England

October 14, 2016October 14, 2016 Rob

See

My colleagues and I at Trinity Mirror ranked mental health around England on Monday for World Mental Health Day.

We aggregated four datasets – depression, contact with mental health services, the recovery rate from anxiety and depression and antidepressant prescriptions – to produce a mental health ranking for all 209 Clinical Commissioning Groups (CCGs) in England.

Visualising House Prices by Postcode in Leeds

October 9, 2016October 9, 2016 Rob

See

house-prices-in-leeds2

After looking at Manchester’s flat boom, we’re going over t’Pennines to Leeds, or more accurately the LS postcode for Leeds and the surrounding area.

Visualising the Boom in New Flats in Manchester

October 6, 2016October 6, 2016 Rob

See

An example of new apartments in Salford. © Copyright Geoff Royle and licensed for reuse under this Creative Commons Licence. — New apartments in Salford.
© Copyright Geoff Royle and licensed for reuse under this Creative Commons Licence.

Any visitor to Manchester city centre will be struck by the number of modern blocks of city centre flats.

Take the tram out towards Altrincham and you’ll see modern apartment blocks on both sides, out towards Salford and back towards Castlefield.

Make Your Labels Legible on Mobile

October 1, 2016October 2, 2016 Rob

See

In my previous post, I showed how poorer children are more likely to be fat. Think about how your graphics look on a mobile phone before you publish them. I didn’t do this properly with my last post – I published it first and then checked how it looked on mobile. That isn’t the best approach – and it … Read More “Make Your Labels Legible on Mobile” »

How Poor Children Are More Likely To Be Fat

September 30, 2016October 1, 2016 Rob

See

ncmp_v5

Poorer children are more likely to be fat.

As we move further to the right of the chart into schools in more deprived areas, the share of children in the grey and black parts of the chart – showing overweight and very overweight kids – gets bigger.

This means that a class of year six children in inner-city Manchester will likely have bigger waistlines than one in leafy Hampshire.

A combination of bad diets and a lack of exercise means poorer children are sadly more likely to be fat at just 10 or 11 years old, with all the health problems that brings now and stores up for the future.

Creating a Premier League Results Matrix in R

September 24, 2016October 1, 2016 Rob

See

On Wikipedia’s page for the 2015/16 Premier League, it has a matrix table of results.

It shows you all the results for each team, home and away against each other.

For example, if you look at Arsenal on Row 1, they beat Aston Villa 4-0 at the Emirates but lost their home match against Chelsea 0-1.