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Paul Bradshaw - Data Journalism Heist

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Data Journalism Heist How to get in get the data and get the story out - and - photo 1
Data Journalism Heist
How to get in, get the data, and get the story out - and make sure nobody gets hurt
Paul Bradshaw

This book is for sale at http://leanpub.com/DataJournalismHeist

This version was published on 2015-06-10

This is a Leanpub book Leanpub empowers authors and publishers with - photo 2

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This is a Leanpub book. Leanpub empowers authors and publishers with the Lean Publishing process. Lean Publishing is the act of publishing an in-progress ebook using lightweight tools and many iterations to get reader feedback, pivot until you have the right book and build traction once you do.

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2013 - 2015 Paul Bradshaw
Huh?

Rusty: Youd need at least a dozen guys doing a combination of cons.

Danny: Like what, do you think?

Rusty: Off the top of my head, Id say youre looking at a Boeski, a Jim Brown, a Miss Daisy, two Jethros and a Leon Spinks, not to mention the biggest Ella Fitzgerald ever.

Oceans Eleven (2001)

Can you learn data journalism in an hour?

That was the challenge I was set in late 2011, when I was invited to Bristol to deliver a short workshop. There was a certain appeal in the challenge: there is a myth that data journalism has to be complicated, spectacular, or resource-intensive. But data journalism is not always like that.

For every headline-grabbing Wikileaks story or MPs expenses saga, there are dozens of everyday uses of data journalism that go unnoticed. It might be working out whos the top-scoring Englishman in the Premier League, or seeing whether theres been an outbreak of flu in your area. It might be finding out the worst performing schools, or that seasons biggest fashion trends.

So I stripped back everything to some basic techniques. This book covers the bare bones of data journalism: the basic skills to do those simple stories - from finding data in the first place, to getting to the story you want quickly, to following it up and telling it well.

Can you learn data journalism in an hour? Not all of it. But you can learn enough to get started, and get your first stories. More importantly, you can learn enough to see whats possible, with results that provide a basis to begin to learn more (Ill talk about places to go next at the end).

So this is the Data Journalism Heist: nothing illegal, but rather a concept designed to reinforce the rough and ready, fast and clean aspect of this approach - as well as the importance of the last part: No one gets hurt.

It is a book all about speed, and were wasting time. Time to get started.

The scouting mission: wheres the data?

Every good heist begins with a recce: a reconnaissance mission to check out the site of our operation. Data journalism has a number of key sites to recce:

  • If your government, region or city has an open data portal, that should have regular updates. You can find a list at CKAN: open data sites range from the UKs data.gov.uk, to regional and city sites like Waterloo in Canada, Emilia-Romagna in Italy, or Chicago in the US;
  • If theres an office of national statistics, sign up for updates. One list of national statistical bodies can be found on Wikipedia;
  • FOI requests are often a good source of data. If you have a site in your country that allows people to send and monitor these (such as Whatdotheyknow.com in the UK and AskTheEU for EU-related FOI requests) then these often provide an alert facility. Also look for specific bodies disclosure logs - where they publish FOI requests received.

Take some time to check these out. Its a good idea to have data regularly come to you - either by email or, if you use an RSS reader to follow feeds from various sites, that.

If the website has neither email nor RSS updates try using ChangeDetectioncom - photo 3

If the website has neither email nor RSS updates, try using ChangeDetection.com - this will send you an email when a webpage changes.

If you are reporting on - or particularly interested in - a specific field like crime, health, education, welfare or the environment, try to find bodies (local, national and international) that publish data regularly in that area.

Here are just a few general sources of regular data in the UK alone:

  • Education: the Higher Education Statistics Agency (HESA), the Higher Education Funding Council (HEFCE) and Universities and Colleges Admission Service (UCAS) all hold data on universities and students. Ofsted, the regulator of schools, hold data on pupils and education at pre-16 level.
  • The NHS Information Centre (NHSIC) and Health Episode Statistics (HES) hold data on hospital admissions and local doctors.
  • NOMIS holds data on the labour market: where people are employed and unemployed.
  • Data.police.uk holds data on crime and policing
Scouting a local government website

This scouting mission concerns a typical type of data which you might find landing in your alerts regularly: local government spending.

In England every local council is required to publish data on its spending over 500. To find it, search for expenditure 500 and the name of a local authority. In our case, were going to look at Birmingham - the biggest local authority in Europe.

What the data contains doesnt really matter here: the point is the exercises youll be going through in looking at it. You can apply the same process to most regular public datasets, whether its employment data, environmental information, or weather.

Birmingham City Councils expenditure data is at Birmingham.gov.uk/payment-data. Youll find monthly spending data going back over the last year, and can request older data by email.

It comes in two formats: PDFs, and spreadsheets. Given the choice, always avoid PDFs.

If you prefer to work on some international data, download loans data from the European Investment Bank - change the search to the widest possible criteria and then use the (easy to miss) Export link at the bottom of the page to get an Excel spreadsheet.

The spreadsheets are shown here as a Microsoft Excel icon, but they are actually CSV files which will work on any spreadsheet software, including free options like Google Drive spreadsheets and Open Office (which can also open Excel spreadsheets).

CSV stands for Comma Separated Values - this means that the value in each - photo 4

CSV stands for Comma Separated Values - this means that the value in each column is separated by a comma like so: Name, Date of birth, Address. When the spreadsheet software opens this, it replaces each comma with a new column.

Click on the most recent spreadsheet version of the spending data (not the PDF) and download it to your computer. Make sure you save it somewhere you can find later, like your desktop.

Once downloaded, open it in your preferred spreadsheet software - either by double-clicking it or uploading to a web-based tool like Google Drive.

Now, were in.

If PDF is the only option try a PDF-to-Excel converter like You can also try - photo 5
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