Category Archives: Data Journalism

The BBC-o-Gram

The BBC-o-Gram

Recent controversy about the budget of the BBC here in the UK made me curious about its spending. Here’s the BBC-o-Gram, a visualization I created for the Guardian Datablog, exploring the costs of running one of the biggest broadcasters in the world.

See the visual. Explore the data.

Do they provide good value?



source: The BBC Annual Report (PDF)
data: in this Google spreadsheet
research: David McCandless, James Key
additional design: Joe Swainson


Also posted in Guardian Datablog, Infographic, Media, Visual Journalism |
5 Comments

SnakeOil? Scientific evidence for health supplements

SnakeOil? The scientific evidence for health supplements

A generative data-visualisation of all the scientific evidence for popular health supplements by David McCandless and Andy Perkins.

I’m a bit of a health nut. Keeping fit. Streamlining my diet. I plan to live to the age of 150 in fact. But I get frustrated by constant, conflicting reports and studies about health supplements.

Is Vitamin C worth taking or not? Does Echinacea kill colds? Am I missing out not drinking litres of Goji juice, wheatgrass extract and flaxseed oil every day?

In an effort to give myself a quick reference guide, I dove into the scientific evidence and created a visualization for my book. And then worked with the awesome Andy Perkins on a further interactive, generative “living image”.

Play with interactive version | See the still image

This visualisation generates itself from this Google Doc. So when new research comes out, we can quickly update the data and regenerate the image. (How cool is that??) Hopefully then this should be a useful web resources for years to come.

About the image

This image is a “balloon race”. The higher a bubble, the greater the evidence for its effectiveness. But the supplements are only effective for the conditions listed inside the bubble.

You might also see multiple bubbles for certain supps. These is because some supps affect a range of conditions, but the evidence quality varies from condition to condition. For example, there’s strong evidence that Green Tea is good for cholesterol levels. But evidence for its anti-cancer effects is conflicting. In these cases, we give a supp another bubble.

The evidence

We only considered large, human, randomized placebo-controlled trials in our data scrape – wherever possible. No animal trials. No cell studies. Many of the health claims made by the $23 billion supplements industry are based on non-human trials. We wanted to cut through that.

This piece was doggedly researched by myself, and researchers Pearl Doughty-White and Alexia Wdowski. We looked at the abstracts of over 1500 studies on PubMed (run by US National Library Of Medicine) and Cochrane.org (which hosts meta-studies of scientific research). It took us several months to seek out the evidence – or lack of.

You can see our key results in this spreadsheet. (It’s the same spreadsheet that generates the interactive image).

Generation Game

This is our first interactive piece here on Information Is Beautiful. We’ll be doing more generative pieces over the next few months so stay tuned!

Updates

UPDATE 1: 6th Mar 2010 - We’ve updated the spreadsheet (changes in bold) and the viz after great feedback and new evidence and corrections from our amazing visitors. Thank you all so much.

Quick summary: We’ve added CoQ10, cocoa, capsaicin, L-Lysine and hyaluronic acid to the chart. And adjusted entries for Magnesium, Tumeric and Omega 3 (part of a massive downgrade of Omega 3 in fact). Read the change-log for full details

UPDATE 1: 10th Mar 2010 - Omega 3 has been downgraded in almost every category. See the spreadsheet (changes in bold) for more details.

See the visualisation | Check out the spreadsheet

Feed Us Back

As ever, we welcome your thoughts, crits, comments, corrections, compliments, tweaks, new evidence, missing supps, and general feedback. Thank you!



source: PubMed, Cochrane,
data: in this Google spreadsheet
change-log: here


Also posted in Data Visualisation, Disease, Drugs, Generative, Health, Interactive |
100 Comments

When Sea Levels Attack

When Sea Levels Attack
It’s difficult to keep track of all this shifting information on sea level rises.

It doesn’t help that in climate change reporting, a consistent but bewildering assumption is repeatedly made: that we understand what a 1 metre sea level rise actually means.

A “1 metre sea level rise” is in the same domain as “1 ton of carbon” or “£1 billion”. That is, it’s meaningless without context or some link to our everyday lives.

So, in this latest diagram for The Guardian Datablog, I’ve tried to sum up all the current research on sea level rises. What will happen, when it will happen, and where all that sea water will come from. And to suggest what cities will flood When Sea Levels Attack!

Also posted in Climate, Sustainability, Visual Journalism |
15 Comments

Haiti Earthquake: Who’s given what?

Haiti Earthquake: Who's given what?

The global response to the Haiti earthquake has been extraordinary and generous. But in the midst of all the reporting, it’s difficult to keep track of the numbers.

In particular, who has given what, who has dug deepest, and how the Haiti relief fund currently compares to those of other tragedies.

This is an image I created for The Guardian Datablog to visualise the international contributions to the Haiti Earthquake recovery effort as of 24th January 2010.

Haiti Earthquake: Who's Given What?
And the data is here for you to explore. (Thanks to Phil Wand and Jeffrey Grabell for the idea).



Sources: ReliefWeb, Guardian Datablog, OECD (PDF).

N.B. Reuters seem to have a whole different set of data on who paid what for the Tsunami. As they don’t list their sources, I can’t cross-reference with the OECD figures. Regardless, all the record keeping appears to dry up after 2005. But if anyone can find figures for after 2006, please email.

Also posted in Data Visualisation, Political |
49 Comments

What makes a successful online dating photo?

Online Dating Photos - Best Contexts For Men
Dating site OKCupid uses data from their members to overturn myths about what makes a successful online dating profile photo. A fascinating & funny read.

Summary:

men – mysteriously looking away from camera, unsmiling, holding an animal
women – flirting into camera, outdoors, with a hint of cleavage

They also did another great data-piece about what to say in an opening message.

[via Waxy.org]

Also posted in Data Visualisation, Fun, Graph, Social Networks, Web |
8 Comments

What Does China Censor Online?

What does China censor online? The Great Firewall Of China
The Great Firewall Of China.

Oops. I guess we can add a certain beautiful infographics website to that ban list.

Data here.

Update 1: There’s a more detailed, annotated version on The Guardian Datablog.



Also posted in Political, Tag cloud, Visual Journalism, Web |
85 Comments

The Billion Pound o Gram

My latest visual piece for The Guardian, The Billion Pound O Gram, is a British cousin of The Billion Dollar Gram. It reveals the scale of the budget deficit in the centre of the British economy. SPOILER: It’s a big one..

Link to the Guardian piece.

Also posted in Data Visualisation, Economics, Guardian Datablog, InfoVisualisation, Political, Statistics, Visual Journalism |
15 Comments

Afghanistan: The Information Is Not Beautiful

Afghanistan: Information Is Not Beautiful
I took a visual look at the casualty figures coming out of the Afghanistan war for The Guardian. It’s part of my effort to understand what’s going on there. It’s not easy reading. But I think it helps to give some context. See what you think.

You can explore the data and sources in this spreadsheet.

Also posted in Guardian Datablog, Infographic, War |
19 Comments

Visualising the Guardian Datablog

I’m doing a regular weekly visualisation for the excellent Guardian Datablog, the front-end for an amazing library of statistics and data, lovingly hand-gathered by The Guardian.

My first post is about Deadly Drugs.

There’s been a furore over here in the UK about the dangers of illegal drugs. The Government has sacked its most senior drugs advisor, Dr Professor Nutt, after he claimed cannabis was no more harmful than alcohol. And that horse-riding, and specifically ‘equasy’ (Equine Addiction Syndrome) was riskier than taking ecstasy. (Statistically he’s correct. His study here.).

Anyway, digging at the numbers behind his statements and how drugs are reported in the popular press, I found some stuff I didn’t expect about drug harms.

Check out the article on The Guardian blog for detail and data. You want both right?

Also posted in Data Visualisation, De-Hyping, Drugs, Health, Visual Journalism |
84 Comments

Four Infographic Morsels 2

The Change In Carbon Emissions
Another beautiful viz from Good Magazine. This time by Spanish viz supremo Lamosca. Twinned with Kyoto Targets.

Carbon Emissions

Your pet’s CO2 pawprint
How much CO2 is that doggy in the window? [Via Good Magazine and NewScientist]

Your pet's CO2 pawprint

White fight or flight?
Here’s a little something I did, overlaying membership data from the racist British National Party and ethnic populations in the UK. See the full size image.

Racist Profiling: BNP membership vs Ethnic Populations

300 days of Swine Flu
Nice image from Michael Paulkner showing the death toll from Swine Flu after 300 days. Larger sizes here.

Blimey. Quite a lot of doom and gloom in those images. I’ll try to make the next one cheerier.

If you’re still hungry for more infographical morsels, check out the last selection.

In the meantime, if you come across any visual delights, please send them through.

Also posted in Climate, Data Visualisation, Environment, Health |
6 Comments