storytelling – how to visualize statisticsstorytelling – how to visualize statistics mikael jern...

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Storytelling – how to visualize statistics Mikael Jern 1 , Marie Haldorson 2 , Lars Thygensen 3 1 NCVA Linköping University, [email protected] 2 Statistics Sweden, [email protected] 3 Statistics Denmark, [email protected]

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Page 1: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Storytelling – how to visualize statistics

Mikael Jern1, Marie Haldorson2, Lars Thygensen3

1NCVA Linköping University, [email protected] Sweden, [email protected]

3Statistics Denmark, [email protected]

Page 2: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Presentation overview

• Storytelling• The Statistics Atlas• Other examples• The way forward

Page 3: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Storytelling• Select exactly the important data• Analyse them, find what they reveal• Show them in a nice way• Tell the story• Allow others to do the same

Page 4: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

From numbers to knowledge

Page 5: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 6: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 7: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

The Statistics Atlas• Two parts:

• Statistics eXplorer filled with regional indicators on municpality level

• Regional analysis based on eXplorer and presentedin Vislets on the web.

• Six different subject matter areas covered today, more to come

Page 8: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

From Database to Atlas

Page 9: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 10: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Statistics eXplorer

Page 11: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 12: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Maps and charts works together

Page 13: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Focus and context

Page 14: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 15: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 16: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 17: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Lessons learned• A step-by-step approach• Involve the right people in the organization:

• Webmaster• GIS-experts• IT/EPiServer-experts• Users within the organization – subject matter

experts• Support from the top• Business agreement with NComVA• Plans for update and support

Page 18: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Belonging to the early majority…

Knowledge Conviction Decision Implementation Confirmation

Page 19: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

…means that others are faster to adopt the new tools!• OECD• Statistics Denmark• Istat• Gothenburg city• and many others!

Page 20: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 21: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 22: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 23: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 24: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se
Page 25: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

The way forward at StatisticsSweden• Extend the Statistics Atlas to include counties

• Use the eXplorer tool for electoral districts, for post code areas and the municipal districts

• Include Vislets as a part of our publication process, in press releases and together with publication at 9:30

Page 26: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

The way forward at StatisticsSweden• Make more sophisticated stories using the broad

variety of diagrams together with maps

• Collaborate with other NSI:s and with OECD

Page 27: Storytelling – how to visualize statisticsStorytelling – how to visualize statistics Mikael Jern 1, Marie Haldorson 2, Lars Thygensen 3 1 NCVA Linköping University, mikael.jern@liu.se

Thank’s for your attention!

Marie HaldorsonStatistics Sweden