DATA JOURNALISM: FROM IDEA TO STORY Steve Doig Cronkite School of Journalism, Arizona State University

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Presentation transcript:

DATA JOURNALISM: FROM IDEA TO STORY Steve Doig Cronkite School of Journalism, Arizona State

Why do data journalism?

What is “data”?

Finding data story ideas

datadrivenjournalism.net/

IRE’s ExtraExtra feed

theguardian.com/news/datablog

Informants and whistleblowers

Read documents

Work backwards from your idea! 1. What statements do you want to make? 2. What variables are needed to make those statements? 3. Who would collect data with those variables? 4. How will you get the data from the collector?

1. Statements? Lede = hypothesis Bullet points = statements Examples for a crime and courts data story: “Crime has increased/decreased X % since...” “The X per violent crime rate of Y City is the worst...” “Only X % of reported crimes result in arrests...”

2. Variables needed? Columns = variables Rows = records Two main kinds of variables Categorical: Sex, city, postal code, type of crime, etc... Numeric: Age, cost, population, weight, arrests, accident, etc...

3. Who collects those variables?

4. Get the data!

Public records tools

Data formats?

Avoid PDFs

Avoid PDFs...but if necessary... Convert to *.xls with: Acrobat Pro Zamzar CometDocs (many others)

...NOW WHAT?? YOU HAVE DATA...

Clean the data

Data cleaning tools

Look for patterns

Excel tools Sort Filter Functions Pivot tables

Brain tools – math and statistics

Friday (Hotel Sangallo)

EJC MOOC – free!!

Data journalism story elements

Data journalism team You! Other reporters Editors Graphic artists Photographers Videographers Page designers Web designers App developers

Other DDJ workshops

Questions??