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Get More Out of Your Data Visualizations with Proper Chart Selection and Design Guidelines
- 1. Get More Out Of Your Data Visualizations Koen Verbeeck
- 2. WHO AM I?
- 3. AGENDA • guidelines on data visualization • showing off with SSRS
- 4. AGENDA • guidelines on data visualization • showing off with SSRS
- 5. GUIDELINES ON DATA VISUALIZATION • what’s the story you want to tell? • choose the correct chart type • use visual perception wisely • reduce data/ink ratio
- 6. GUIDELINES ON DATA VISUALIZATION • what’s the story you want to tell? x y 10 8,04 8 6,95 13 7,58 9 8,81 11 8,33 14 9,96 6 7,24 4 4,26 12 10,84 7 4,82 5 5,68
- 7. GUIDELINES ON DATA VISUALIZATION • different kind of stories – explanatory: (static) reports / dashboards • strategic – high level overview • operational – detail level – analytical: pivot tables / interactive visualizations – exhibition: usually pretty visualizations
- 8. GUIDELINES ON DATA VISUALIZATION • example: strategic dashboard Information Dashboard Design p. 177 – Stephen Few
- 9. GUIDELINES ON DATA VISUALIZATION • example: operational dashboard Information Dashboard Design p. 199 – Stephen Few
- 10. GUIDELINES ON DATA VISUALIZATION • example: analytical dashboard Information Dashboard Design p. 201 – Stephen Few
- 11. GUIDELINES ON DATA VISUALIZATION • example: exhibition http://www.biodiaspora.com http://seekshreyas.com/beerviz/
- 12. GUIDELINES ON DATA VISUALIZATION • choose the correct chart type – comparing categories – bar/column chart, dot plot, Gantt, histogram, …
- 13. GUIDELINES ON DATA VISUALIZATION • choose the correct chart type – showing changes over time – line chart, sparklines, area chart, candlestick chart, barcode chart…
- 14. DEMOCREATE SPARKLINES AND DATA BARS IN EXCEL
- 15. GUIDELINES ON DATA VISUALIZATION • choose the correct chart type – hierarchies and part-to-whole relationships – pie chart, waffle chart, stacked bars, tree map, …
- 16. GUIDELINES ON DATA VISUALIZATION • careful with pie charts!
- 17. DEMOCREATE A DECENT PIE CHART IN SSRS
- 18. GUIDELINES ON DATA VISUALIZATION • choose the correct chart type – plotting connections and relationships – Scatter plot, bubble plot, heat map, network diagram
- 19. GUIDELINES ON DATA VISUALIZATION • choose the correct chart type – plotting geo-spatial data
- 20. GUIDELINES ON DATA VISUALIZATION • remember: correlation does not imply causation
- 21. GUIDELINES ON DATA VISUALIZATION • use visual perception wisely • 138924567897132165498713218945642315156032 165425648745000512173654502345435102154545 4987840579218600479333470 • 138924567897132165498713218945642315156032 165425648745000512173654502345435102154545 4987840579218600479333470
- 22. GUIDELINES ON DATA VISUALIZATION • use visual perception wisely – not all can be used quantitatively length width orientation shape enclosure size hue intensity 2D position
- 23. GUIDELINES ON DATA VISUALIZATION • use visual perception wisely – an example http://en.wikipedia.org/wiki/File:FrancePopulationDe nsity1968.png http://www.theusrus.de/blog/the-good-the-bad- 22012/
- 24. GUIDELINES ON DATA VISUALIZATION • Gestalt principles – principle of proximity
- 25. GUIDELINES ON DATA VISUALIZATION • Gestalt principles – principle of similarity
- 26. GUIDELINES ON DATA VISUALIZATION • Gestalt principles – principle of enclosure
- 27. GUIDELINES ON DATA VISUALIZATION • Gestalt principles – principle of closure/continuity
- 28. GUIDELINES ON DATA VISUALIZATION • reduce data/ink ratio – remove non-data pixels • no 3D effects. EVER. No seriously, don’t. • no backgrounds, shadows or gradients • remove grid lines, decoration, borders, fill colors
- 29. GUIDELINES ON DATA VISUALIZATION • reduce data/ink ratio – reduce unnecessary data pixels • display only what is really needed to tell your story
- 30. GUIDELINES ON DATA VISUALIZATION • reduce data/ink ratio – highlight most import pixels
- 31. GUIDELINES ON DATA VISUALIZATION • reduce data/ink ratio – KPIs
- 32. DEMOCREATE BULLET GRAPH IN SSRS
- 33. GUIDELINES ON DATA VISUALIZATION • don’t forget the 10%
- 34. GUIDELINES ON DATA VISUALIZATION • what’s the story you want to tell? • choose the correct chart type • use visual perception wisely • reduce data/ink ratio
- 35. GUIDELINES ON DATA VISUALIZATION • resources
- 36. AGENDA • guidelines on Data Visualization • showing off with SSRS
- 37. SHOWING OFF WITH SSRS • to watch: Dataviz you thought you could not do with SSRS by Jason Thomas • 24 hours of PASS business analytics edition • http://www.sqlpass.org/bac/2014/Sessions/ SneakPeeks/Details.aspx?sid=5907
- 38. SHOWING OFF WITH SSRS
- 39. DEMOSHOW SOME FUN STUFF IN SSRS
- 41. Follow Technet Belgium @technetbelux Subscribe to the TechNet newsletter aka.ms/benews Be the first to know
- 43. Belgium’s biggest IT PRO Conference
Editor's Notes
- Ask which people of the audience attended my session last year on the community day. Ask which people have to create visualizations (tables, charts, reports, excel).
- Introduce yourself briefly.
- Ask the audience: which is better, table or graph? Answer: it depends. Think about the story/message you want to bring to the person reading your visualization. Example: X = metals (price), y = conductivity. Physicist presenting results prefers graph, engineer building a chip wants the table for the exact values.
- There are different kinds of visualizations, depending on how you want to deliver information to the end user.
- Strategic: Executive dashboard High level overview Limited to no interaction Not real-time
- Operational: immediate & dynamic deeper level of detail limited/no interaction real-time
- Analytical: deeper level of detail interactions with data not real-time more complex
- Exposition: Data itself is less important “data art” self-expression through raw data more emotive
- When you decide to use charts to represent data, it is important to consider the correct chart type. Different types of information lead to different types of charts.
- DEMO: show how to create sparklines in Excel.
- Dangerous type of charts, they are easily misinterpreted/misunderstood. Stacked bar chart allows easy comparison of the lowest bar, not much for all the others.
- Ask audience if the yellow slice is bigger or smaller than one quarter. Avoid the use of 3D; this makes it only worse. Guidelines for pie charts: sort by size, start at 12 o’clock and not too many slices.
- Only plot on a world map if you can get relevant insights from it. Otherwise just use a bar chart
- Normalize per 1000 people!
- Some attributes can be processed pre-attentively, e.g. without thinking about it. (thanks to evolution)
- The following can be used quantitatively: Length, width (limited), size (limited), intensity (limited) and 2D position.
- Comes from the Gestalt school of psychology. Gestalt means pattern and there are certain principles in how we tend to group objects in certain ways.