data journalism

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Data journalism Why bits, bytes and stats are your friends

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Slides from lecture at Cardiff University

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Page 1: Data journalism

Data journalism

Why bits, bytes and stats are your friends

Page 2: Data journalism

It’s nothing new

The Manchester Guardian 1821

Page 3: Data journalism

Florence Nightingale – data journalist

Page 8: Data journalism
Page 12: Data journalism

Go beyond obvious applications

• Sport – BBC’s Ollie Williams has done visualisations around events

• Fashion – I helped Grazia to track the spread of a social media campaign by Twitter scraping

Page 13: Data journalism

GETTING STARTEDTools and ideas

Page 14: Data journalism

CAR vs Data journalism

• Computer-Assisted Reporting is an old school name for what is sometimes now called data journalism

• Data was in spreadsheets, databases and surveys

• Also social network analysis tools

Page 15: Data journalism

Key things to note

• Not a quick process• Too many numbers can confuse your audience

• Know your sources of data• Check it back with the source

Page 16: Data journalism

Some of the tools of the trade

• Excel• Access• Many Eyes (wikified)• Wordle• Tableau• Google Fusion tables• Google docs spreadsheet• Yahoo pipes• Scraperwiki

Page 17: Data journalism

Coding is becoming part of journalism

• Some journalists are learning Python, Django, or Ruby to analyse data

• But it doesn’t have to be difficult or hard to work with

Page 21: Data journalism

DATAMINER’S RECIPE FOR GETTING STARTED

10 step plan

Page 22: Data journalism

Former JOMEC broadcasterData mining and data journalism

Page 24: Data journalism

Data follows

@paulbradshaw - Paul’s list of Godlike Geniuses@jamesrbuk @StephenGrey @DataMinerUK@psychemedia@Coneee@clairemilleruk @kevglobal@bbcsport_ollie