Data Visualisation: Types, Principles, and Tools
5 likes1,278 views
The document presents an overview of a workshop on data visualization conducted by Sumandro Chattapadhyay, covering types of data, principles of visualization, tools for data handling, and the open data movement. It emphasizes the importance of effective data representation and encourages the adoption of open data practices among individuals and organizations. Key components include various data visualization methods, principles for quality visualizations, and tools available for data collection, organization, analysis, and visualization.
Data Visualisation: Types, Principles, and Tools
- 1. ICSSR Research Methodology Workshop December 18, 2015 Data Visualisation: Types, Principles, and Tools Sumandro Chattapadhyay sumandro@cis-india.org
- 2. The Centre for Internet and Society cis-india.org Established in 2008. Offices in Bengaluru and Delhi. Works on issues of Internet governance and telecommunication policy, open knowledge and accessibility, privacy and cyber-security. My work focuses on openness and e-governance policies, and critical research on internet and society in India.
- 3. Sexual Violence in India Rukmini S, The Hindu
- 4. The Billion Pound-o-Gram David McCandless
- 5. Cholera Map, London, 1854 John Snow
- 6. Rainfall in Kausani, 1990 India Water Portal
- 7. OpenStreetMap - Kathmandu Contributions by Volunteers
- 8. What is Data? - It depends on the context - It depends on the question - It depends on the (hypothetical) answer
- 9. Types of Data - Quantitative - Discrete - Continuous - Categorical - Qualitative - Quantified - Not-quantified - Spatial - Rastar - Vector
- 10. Types of Data Relationship - Comparison - Ranking - Part-to-Whole - Distribution - Time Series - Map - Correlation
- 11. Types of Data Visualisation - Various: Scatterplot, Line Chart, Area Chart, and Bar Chart - Part-to-Whole: Pie Chart, Tree Map, and Parallel Sets - Multiple Variables: Radar Chart and Bubble Chart - Time: Time Line, Flow Chart, and Steam Graph - Space: Choropleth, Heatmap, Flow Map, and Cartogram
- 12. Types of Data Visualisation Various
- 13. Types of Data Visualisation Scatterplot
- 14. Types of Data Visualisation Line Chart
- 15. Types of Data Visualisation Area Chart
- 16. Types of Data Visualisation Bar Chart
- 17. Types of Data Visualisation Stacked Bar Chart
- 18. Types of Data Visualisation Grouped Bar Chart
- 19. Types of Data Visualisation Part-to-Whole
- 20. Types of Data Visualisation Pie Chart
- 21. Types of Data Visualisation Doughnut Chart
- 22. Types of Data Visualisation Pie Chart (Two Layers)
- 23. Types of Data Visualisation Sunburst
- 24. Types of Data Visualisation Treemap
- 25. Types of Data Visualisation Parallel Sets
- 26. Types of Data Visualisation Multiple Variables
- 27. Types of Data Visualisation Radar Chart (Discrete)
- 28. Types of Data Visualisation Radar Chart (Continuous)
- 29. Types of Data Visualisation Bubble Chart
- 30. Types of Data Visualisation Time
- 31. Types of Data Visualisation Time Line
- 32. Types of Data Visualisation Flow Chart
- 33. Types of Data Visualisation Steam Graph
- 34. Types of Data Visualisation Space
- 35. Types of Data Visualisation Choropleth
- 36. Types of Data Visualisation Heatmap
- 37. Types of Data Visualisation Cartogram
- 38. Types of Data Visualisation Flow Map
- 39. Principles of Data Visualisation Gestalt Principles Law of Proximity Law of Familiarity Law of ContinuityLaw of ClosureLaw of Enclosure
- 40. Principles of Data Visualisation Edward Tufte: Principles of Graphic Excellence (Excerpt) - Show the data - Induce the viewer to think about the substance of the findings rather than the methodology, the graphical design, or other aspects - Avoid distorting what the data have to say - Encourage the eye to compare different pieces of data - Reveal the data at several levels of detail, from a broad overview to the fine structure - Serve a clear purpose - Be closely integrated with the statistical and verbal descriptions of the data set
- 41. Principles of Data Visualisation Manuel Lima: Information Visualization Manifesto (Excerpt) - Form follows function - Start with a question - Interactivity is key - Cite your source - The power of narrative - Do not glorify aesthetics - Embrace time - Avoid gratuitous visualisations
- 42. Tools for Working with Data - Collection - Organisation - Analysis - Visualisation
- 43. Tools for Working with Data Collection - Nokia Data Gathering - Open Data Kit - RapidSMS - OpenStreetMap and Field Papers - Ushahidi and Crowdmap - Google Earth - Tabula
- 44. Tools for Working with Data Organisation - Open Refine - Mr. Data Converter - CKAN - GitHub and GitLab
- 45. Tools for Working with Data Analysis - Microsoft Excel and Libre Office Calc - SPSS and Stata - R and R Studio - GRASS and Quantum GIS
- 46. Tools for Working with Data Visualisation - ManyEyes and Tableau - Google Fusion Tables and Google Chart Tools - Datawrapper and RAW - D3.js, Recline.js, Raphaël, and Tangle - Graph Commons, Gephi, Arbor.js, and Sigma.js - Leaflet.js, GeoCommons, CartoDB, and MapBox Studio - Timeline JS and StoryMap JS - Processing - ColorBrewer
- 47. What is Open Data? - Open for studying - Open for using - Open for making products and services - Open for sharing
- 48. What is the 'Open Data Movement'? - A movement for open data practices by everyone – government, non-government / civil society organisations, international organisations, researchers, everyone. - A movement that recognises that allowing other people to see, use, and share your data is a good thing for everyone - A movement to make data available for decision-making, but also to understand how decisions are made - A movement that is distributed, and took forward by different people in different contexts – no single international leader!
- 49. How to Contribute to Open Data Movement? - Open up the data you have - Contribute to open data projects (like OpenStreetMap) - Ask the government to open up data (via data.gov.in) - Ask all organisations you work with to open up data - Help organisations to open up their data (and join DataMeet: datameet.org)
- 50. ICSSR Research Methodology Workshop December 18, 2015 Thank you. Sumandro Chattapadhyay sumandro@cis-india.org CIS: cis-india.org Twitter: @cis_india Personal: ajantriks.net Twitter: @ajantriks