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Shortest path from seeing to understanding -
benefits of strict standards in presenting data
Aachen, 01. Oktober 2019
René Stoffels-Fuchs
User Experience of Data – Visualizing Data for Actionable Insights
Agenda
1
a little history of information visualization
how to communicate facts and figures
1
2
2
© Michael Friendly, York University Canada, »A Brief History of Data Visualization«, 2006
The time distribution of events considered milestones in the history of data visualization, shown by a rug plot and density estimate.
3William Playfair (1759-1823)
»Exports and Imports to and from Denmark & Norway from 1700 to 1780«, 1786
and others visualizations
4Dr. John Snow (1813-1858)
»Map of cholera cases in Soho, London, 1854.«, 1854
Dr. Robert Baker, »cholera map of Leeds«, 1833
Charles Joseph Minard (1781-1870)
»Figurative Map of the successive losses in men of the French Army in the Russian campaign 1812–1813«,
1869
5
6H. R. Sankey (1853-1926)
»the termal efficiency of steam engines«, 1898
© u/coob
»Apple's money, in and out – awsome chart«, 2013
Agenda
7
a little history of information visualization
how to communicate facts and figures
1
22
11
Guidelines for a good data communication
8
1. publish only when you have something to say
2. remove everything that has no meaning
3. show an accurate and methodically correct view of the values
4. present information in high density to strengthen the statement
5. diagrams: select the appropriate type for the data to be shown
6. repetition is king: define and use your own notation concept
7. use colours wisely
Guidelines for a good data communication
“publish only when you have something to say”
9
business guy BI-guy
once: they defined KPIs,
defined the sources
management has to search
for something important
they regularly talk about relevant events
the BI-guy makes
the important visible
(with a good bi-tool) management is able to manage
the bi-tool automaticaly
generates a report for
every KPI
10
Guidelines for a good data communication
“remove everything that has no meaning”
11
Guidelines for a good data communication
“show an accurate and methodically correct view of the values”
12
Guidelines for a good data communication
“present information in high density to strengthen the statement”
13
Guidelines for a good data communication
“diagrams: select the appropriate type for the data to be shown”
14
Guidelines for a good data communication
“repetition is king: define and use your own notation concept”
15
Guidelines for a good data communication
“repetition is king: define and use your own notation concept”
conceptional, perceptual & semantical standards
16
Guidelines for a good data communication
“repetition is king: define and use your own notation concept”
17
Guidelines for a good data communication
“use colours wisely”
• use colours to show positive or negativ deviation
• please don’t use corporate colours for the diagrams
benefits of strict standards
18
• you lower the entrance threshold
• you facilitate the perception of the information
considerably
• you speed up the time between seeing and
understanding
• recipients stop feeling guilty
(for not having looked into your reports)
• the time has come for data-based decisions
and a more intensive cooperation
19
References for photos and illustrations
20
Page Description, Titel, URL etc. copyright holder
2 Michael Friendly, York University Canada, »A Brief History of Data Visualization«, 2006 © M. Friendly, 2006
3 William Playfair's visualizations (left to right)
Playfair: trade-balance time-series chart, published in his Commercial and Political Atlas, 1786 Public Domain
Playfair’s translation of Denis Francois Donnant’s (1805)Statistical account of the United States of America Public Domain
Playfair: Chart no. 3 from A Letter on Our Agricultural Distresses, 1822 Public Domain
Playfair: The statistical breviary, 1801 Public Domain
4 Dr. John Snow: »Map of cholera cases in Soho, London«, 1854 Public Domain
Dr. Robert Baker, »cholera map of Leeds«, 1833 Public Domain
Vendors public examples of map visualizations public
5 Minard: »Figurative Map of the successive losses in men of the French Army in the Russian campaign 1812–1813«, 1869 Public Domain
6 H. R. Sankey: »the termal efficiency of steam engines«, 1898 Public Domain
u/coob: »Apple's money, in and out – awesome chart«, 2013, https://imgur.com/gallery/fpGeLbd/comment/35630970/1 © u/coob 2013
9 sketches © GDIS
multi-tier column chart, https://www.ibcs.com/de/resource/multi-tier-column-chart/ © ibcs-a.org
10 J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 4-20 S. 149 © 2018 dpunkt.verlag GmbH
J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 4-21 S. 150 © 2018 dpunkt.verlag GmbH
11 J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 3-31 - 3-33, S. 78, 79 © 2018 dpunkt.verlag GmbH
12 multi-tier column chart, https://www.ibcs.com/de/resource/multi-tier-column-chart/ © ibcs-a.org
13 J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 3-12, S. 60 © 2018 dpunkt.verlag GmbH
J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 3-9, S. 57 © 2018 dpunkt.verlag GmbH
14 multi-tier column chart, https://www.ibcs.com/de/resource/multi-tier-column-chart/ © ibcs-a.org
wiring-chart, notes Public Domain
15, 16 IBCS® TOP TEN, https://www.ibcs.com/de/product/ibcs-top-ten-poster/ © ibcs-a.org
18 Reference unfortunately no longer traceable Pixabay.com
19 BI-Cube © GDIS

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Shortest path from seeing to understanding - benefits of strict standards in presenting data. By René Stoffels-Fuchs

  • 1. Shortest path from seeing to understanding - benefits of strict standards in presenting data Aachen, 01. Oktober 2019 René Stoffels-Fuchs User Experience of Data – Visualizing Data for Actionable Insights
  • 2. Agenda 1 a little history of information visualization how to communicate facts and figures 1 2
  • 3. 2 © Michael Friendly, York University Canada, »A Brief History of Data Visualization«, 2006 The time distribution of events considered milestones in the history of data visualization, shown by a rug plot and density estimate.
  • 4. 3William Playfair (1759-1823) »Exports and Imports to and from Denmark & Norway from 1700 to 1780«, 1786 and others visualizations
  • 5. 4Dr. John Snow (1813-1858) »Map of cholera cases in Soho, London, 1854.«, 1854 Dr. Robert Baker, »cholera map of Leeds«, 1833
  • 6. Charles Joseph Minard (1781-1870) »Figurative Map of the successive losses in men of the French Army in the Russian campaign 1812–1813«, 1869 5
  • 7. 6H. R. Sankey (1853-1926) »the termal efficiency of steam engines«, 1898 © u/coob »Apple's money, in and out – awsome chart«, 2013
  • 8. Agenda 7 a little history of information visualization how to communicate facts and figures 1 22 11
  • 9. Guidelines for a good data communication 8 1. publish only when you have something to say 2. remove everything that has no meaning 3. show an accurate and methodically correct view of the values 4. present information in high density to strengthen the statement 5. diagrams: select the appropriate type for the data to be shown 6. repetition is king: define and use your own notation concept 7. use colours wisely
  • 10. Guidelines for a good data communication “publish only when you have something to say” 9 business guy BI-guy once: they defined KPIs, defined the sources management has to search for something important they regularly talk about relevant events the BI-guy makes the important visible (with a good bi-tool) management is able to manage the bi-tool automaticaly generates a report for every KPI
  • 11. 10 Guidelines for a good data communication “remove everything that has no meaning”
  • 12. 11 Guidelines for a good data communication “show an accurate and methodically correct view of the values”
  • 13. 12 Guidelines for a good data communication “present information in high density to strengthen the statement”
  • 14. 13 Guidelines for a good data communication “diagrams: select the appropriate type for the data to be shown”
  • 15. 14 Guidelines for a good data communication “repetition is king: define and use your own notation concept”
  • 16. 15 Guidelines for a good data communication “repetition is king: define and use your own notation concept” conceptional, perceptual & semantical standards
  • 17. 16 Guidelines for a good data communication “repetition is king: define and use your own notation concept”
  • 18. 17 Guidelines for a good data communication “use colours wisely” • use colours to show positive or negativ deviation • please don’t use corporate colours for the diagrams
  • 19. benefits of strict standards 18 • you lower the entrance threshold • you facilitate the perception of the information considerably • you speed up the time between seeing and understanding • recipients stop feeling guilty (for not having looked into your reports) • the time has come for data-based decisions and a more intensive cooperation
  • 20. 19
  • 21. References for photos and illustrations 20 Page Description, Titel, URL etc. copyright holder 2 Michael Friendly, York University Canada, »A Brief History of Data Visualization«, 2006 © M. Friendly, 2006 3 William Playfair's visualizations (left to right) Playfair: trade-balance time-series chart, published in his Commercial and Political Atlas, 1786 Public Domain Playfair’s translation of Denis Francois Donnant’s (1805)Statistical account of the United States of America Public Domain Playfair: Chart no. 3 from A Letter on Our Agricultural Distresses, 1822 Public Domain Playfair: The statistical breviary, 1801 Public Domain 4 Dr. John Snow: »Map of cholera cases in Soho, London«, 1854 Public Domain Dr. Robert Baker, »cholera map of Leeds«, 1833 Public Domain Vendors public examples of map visualizations public 5 Minard: »Figurative Map of the successive losses in men of the French Army in the Russian campaign 1812–1813«, 1869 Public Domain 6 H. R. Sankey: »the termal efficiency of steam engines«, 1898 Public Domain u/coob: »Apple's money, in and out – awesome chart«, 2013, https://imgur.com/gallery/fpGeLbd/comment/35630970/1 © u/coob 2013 9 sketches © GDIS multi-tier column chart, https://www.ibcs.com/de/resource/multi-tier-column-chart/ © ibcs-a.org 10 J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 4-20 S. 149 © 2018 dpunkt.verlag GmbH J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 4-21 S. 150 © 2018 dpunkt.verlag GmbH 11 J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 3-31 - 3-33, S. 78, 79 © 2018 dpunkt.verlag GmbH 12 multi-tier column chart, https://www.ibcs.com/de/resource/multi-tier-column-chart/ © ibcs-a.org 13 J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 3-12, S. 60 © 2018 dpunkt.verlag GmbH J. Kohlhammer, D. U. Proff, A. Wiener: »Visaul Business Analytics«, 2. Auflage, 2018, Abb. 3-9, S. 57 © 2018 dpunkt.verlag GmbH 14 multi-tier column chart, https://www.ibcs.com/de/resource/multi-tier-column-chart/ © ibcs-a.org wiring-chart, notes Public Domain 15, 16 IBCS® TOP TEN, https://www.ibcs.com/de/product/ibcs-top-ten-poster/ © ibcs-a.org 18 Reference unfortunately no longer traceable Pixabay.com 19 BI-Cube © GDIS