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Data visualisation
1) The document discusses data visualization and provides tips for effective data visualization design. It introduces different types of charts like column charts, pie charts, bubble charts and their pros and cons. 2) Design tips include representing data accurately, using simple styles, employing color cautiously, choosing clear fonts, and using annotations to tell a story. 3) Online visualization tools like Infogram are also presented. The resource aims to demonstrate the value of data visualization for research communication and uptake.
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Data visualisation
- 1. Data visualisation Research uptakeworkshop 12-14 September 2017 Kilifi, Kenya http://resyst.lshtm.ac.uk @RESYSTresearch
- 2. In this resource •Introduce data visualisation and demonstrate its value for research uptake and communications • Compare different types of chart • Share design tips for a visualisation • Explore online data visualisation tools
- 3. • The presentationof data or information in a graphical format • A way of visually communicating information – often quantitative in nature – in an accurate, compelling way What is data visualisation?
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- 7. The value ofdata visualisations • Reveal patterns, relationships or stories in data • Tell stories in a compelling and immediate way which can be more memorable than words or tables Life expectancy at birth 19 80 19 82 19 84 19 86 19 88 19 90 19 92 19 94 19 96 19 98 20 00 20 02 20 04 20 06 20 08 20 10 20 12 Botswana 61 62 63 63 64 63 62 59 56 53 51 49 47 47 46 47 47 India 55 56 57 57 58 59 59 60 61 61 62 63 64 64 65 66 66 South Africa 57 58 59 60 61 62 62 62 61 58 56 54 52 52 53 55 56 Tanzania 51 51 51 51 51 50 50 49 49 49 50 51 53 55 57 59 61 Zimbabwe 59 60 61 61 61 59 57 53 50 46 44 43 43 45 49 54 58
- 8. The value ofdata visualisations • Visualisations can be easily shared with others
- 9. The value ofdata visualisations • Effective visualisations can alter perceptions, influence people and bring about change
- 13. Column/bar charts Pros • Clearand easy to read • Show even small differences in values Cons • Can be dull • People rarely stop and look Source: The Guardian http://www.theguardian.com/society/2013/jun/20/one-in-three-women-suffers-violence
- 15. Pie charts Pros • Piecharts are good for showing percentages. Cons • Don’t represent values accurately, which makes it hard to compare values.
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- 17. Stacked bars Pros • Goodalternative to pie charts when you have values adding up to 100% Cons • Can be hard to compare values in the middle. • Lose smaller values
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- 19. Bubble charts: opticalillusions
- 20. Design tips • Representthe data accurately • Style the chart simply • Use colour with caution • Choose a clear font • Use annotations to tell a story
- 21. Represent the dataaccurately Always scale to zero
- 22. Represent the dataaccurately Don’t use 3D charts
- 23. Represent the dataaccurately Circle size by area, not radius Size by radius Size by area 1 2 4
- 24. Represent the dataaccurately Provide context
- 25. Style the chartsimply Use a limited colour palette
- 26. Style the chartsimply Don’t fill with patterns
- 27. Style the chartsimply Mute gridlines
- 28. Style the chartsimply Order by value
- 29. Style the chartsimply Label as directly as possible Series 1 Series 2 Series 3 0 1 2 3 4 5 6 1990 1995 2000 2005 0 1 2 3 4 5 6 1990 1995 2000 2005 Series 1 Series 2 Series 3
- 30. Use colour withcaution monochromatic complementary Analogous (similar)
- 31. Use colour withcaution 0 5 10 15 20 Monochromatic colours for a data map Complementary colours to highlight Similar colours to distinguish data Bright colours to emphasise the important line
- 32. Use colour withcaution Have consideration for the meaning of colours What is wrong with this picture?
- 33. Use colour withcaution Don’t use red and green together
- 34. Choose a clearfont For screen • Calibri • Helvetica • Franklin Gothic • Arial For print • Georgia • Garamond • Baskerville • Times New Roman
- 35. 4. Choose aclear font Is this easy to read? Is this easy to read? Is this easy to read? Is this easy to read? IS THIS EASY TO READ? Is this easy to read?
- 36. Use annotations totell a story Highlight important features Provide additional detail, context
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- 38. Organise your information Finddata Clean data • Research, WHO data, World Bank data • In excel, check data is accurate, re-format Remove commas, irrelevant data Decrease decimals Switch rows to columns (Copy -- Paste Special -- Transpose Sort data • Into separate spreadsheets for each graphic
- 40. Further resources fordata visualisation • STRIVE/RESYST webinar on data visualisation • Infogram • Tableau public • The noun project • Knowledge is beautiful – book and website by David McCandless • The visual display of qualitative information book
- 41. This resource wasproduced by Becky Wolfe © RESYST 2017 and licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Becky Wolfe is a member of the Consortium for Resilient and Responsive Health Systems (RESYST). This document is an output from a project funded by the UK Aid from the UK Department for International Development (DFID) for the benefit of developing countries. However, the views expressed and information contained in it are not necessarily those of or endorsed by DFID, which can accept no responsibility for such views or information or for any reliance placed on them.