cartagena data festival | telling stories with data 2015 04-21

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April, 2015 · Ulrich Atz · @statshero Telling Stories with Data

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Page 1: Cartagena Data Festival | Telling Stories with Data 2015 04-21

April, 2015 · Ulrich Atz · @statshero

Telling Stories with Data

Page 2: Cartagena Data Festival | Telling Stories with Data 2015 04-21

Introductions

•  Your name •  Where you’ve come from •  Role •  Your aims/expectations for this

session.

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•  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

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Discussion

What is data for you?

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EXAMPLES OF DATA JOURNALSIM

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http://www.theguardian.com/news/datablog/2012/may/24/data-journalism-punk

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http://ampp3d.mirror.co.uk/

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Data is a source

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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

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Thanks to David Ottewell Head of Data Journalism Trinity Mirror (Regionals) for permission in using this slide

Page 12: Cartagena Data Festival | Telling Stories with Data 2015 04-21

Thanks to David Ottewell Head of Data Journalism Trinity Mirror (Regionals) for permission in using this slide

Page 13: Cartagena Data Festival | Telling Stories with Data 2015 04-21

Thanks to David Ottewell Head of Data Journalism Trinity Mirror (Regionals) for permission in using this slide

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Using data as a source ≠ must have visualisation

http://www.ft.com/cms/s/0/4b1a2f64-2048-11e3-9a9a-00144feab7de.html

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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/

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http://aviation.live.kiln.it/

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Exercise: Find a story http://bit.ly/odi-titanic

http://en.wikipedia.org/wiki/File:Stöwer_Titanic.jpg

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1.  Explore the data (here: follow my speed run)

Exercise

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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

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1.  Explore the data (here: follow my speed run) 2.  Collect three ideas for finding a story

q  Choose one story you want to tellq  Create a headlineq  (Bonus: Create a chart, e.g. with

datawrapper.de)

Exercise

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Thank you!

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Our top tip: BBC Radio 4 / PodcastMore or Less

http://www.bbc.co.uk/podcasts/series/moreorless

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BONUS SLIDES: HOW (NOT) TO

VISUALISE YOUR DATA

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Non-traditional use of chart types

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Arbitrariness of double axes

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Charts that use ALL THE DATA

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Selective use of data

http://ampp3d.mirror.co.uk/2014/05/16/11-mistakes-that-will-drive-data-nerds-crazy/

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Finding a meaningless correlation

http://www.tylervigen.com/

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Y-axis does not start at zero