3. • You’ll have an overview of how people are telling
stories
• You have a sense of the raw work of exploring and
understanding a dataset
• You know some inception points for finding a story
Outcomes
10. Two main methods of
using data as a source
1. Story first – data used to
enhance, fact check, dig
deeper
2. Data first – story found/
presented through data
analysis
11. Thanks to David Ottewell Head of Data Journalism Trinity Mirror (Regionals) for permission in using this slide
12. Thanks to David Ottewell Head of Data Journalism Trinity Mirror (Regionals) for permission in using this slide
13. Thanks to David Ottewell Head of Data Journalism Trinity Mirror (Regionals) for permission in using this slide
14. Using data as a source ≠ must have visualisation
http://www.ft.com/cms/s/0/4b1a2f64-2048-11e3-9a9a-00144feab7de.html
15. Using data as a source ≠ (necessarily) big investigation
http://ampp3d.mirror.co.uk/2014/02/26/the-eu-could-ban-roaming-charges-completely-this-year/
17. Exercise: Find a story
http://bit.ly/odi-titanic
http://en.wikipedia.org/wiki/
File:Stöwer_Titanic.jpg
18. 1. Explore the data (here: follow my speed run)
Exercise
19. Story inception points
1. Create a ranking
2. Compare groups
3. Use sum/average/min/max functions
4. Think local
5. Look for anomalies in the data
20. 1. Explore the data (here: follow my speed run)
2. Collect three ideas for finding a story
q Choose one story you want to tell
q Create a headline
q (Bonus: Create a chart, e.g. with
datawrapper.de)
Exercise