Second set of slides from the workshop on *Using Data for Impact*, co-facilitated by Sunil Abraham and Sumandro Chattapadhyay, at the Ashoka Future Forum, Pune, India, 29th June 2013. These slides explore various types, methods and tools of data collection, management and visualisations.

1. Structure:
- Introductions (15 minutes)
- Introduction to Using Data for Impact (15 minutes)
- Tools and Methods for Working with Data (30 minutes)
- Discussion (15 minutes)
- Breakout Session (45 minutes)
- Presentations and Discussion (30 minutes)
Sunil Abraham
Sumandro Chattapadhyay
Using Data for Impact
Ashoka Future Forum
Pune, 29th
June 2013

2. Tools and Methods for Working with Data

3. What is Data?
- It depends upon the context
- It depends upon the question
- It depends upon the (hypothetical) answer

4. Types of Data:
- Quantitative
- Qualitative
- Spatial
- Sensory

5. Types of Data Visualisation:
- Scatterplot, line chart, area chart, bar chart
- Pie chart, tree map, parallel sets
- Radar chart, bubble chart
- Time line, flow chart, steamgraph
- Choropleth, heatmap, flow map, cartogram

6. Types of Data Visualisation:
- Scatterplot, line chart, area chart, bar chart
- Pie chart, tree map, parallel sets
- Radar chart, bubble chart
- Time line, flow chart, steamgraph
- Choropleth, heatmap, flow map, cartogram

7. Types of Data Visualisation:
Scatterplot

8. Types of Data Visualisation:
Line Chart

9. Types of Data Visualisation:
Area Chart

10. Types of Data Visualisation:
Bar Chart

11. Types of Data Visualisation:
Stacked Bar Chart

12. Types of Data Visualisation:
Grouped Bar Chart

13. Types of Data Visualisation:
- Scatterplot, line chart, area chart, bar chart
- Pie chart, tree map, parallel sets
- Radar chart, bubble chart
- Time line, flow chart, steamgraph
- Choropleth, heatmap, flow map, cartogram

14. Introduction to Data Visualisation: Types
Pie Chart

15. Introduction to Data Visualisation: Types
Tree Map

16. Introduction to Data Visualisation: Types
Parallel Sets

17. Types of Data Visualisation:
- Scatterplot, line chart, area chart, bar chart
- Pie chart, tree map, parallel sets
- Radar chart, bubble chart
- Time line, flow chart, steamgraph
- Choropleth, heatmap, flow map, cartogram

18. Introduction to Data Visualisation: Types
Radar Chart

19. Introduction to Data Visualisation: Types
Bubble Chart

20. Types of Data Visualisation:
- Scatterplot, line chart, area chart, bar chart
- Pie chart, tree map, parallel sets
- Radar chart, bubble chart
- Time line, flow chart, steamgraph
- Choropleth, heatmap, flow map, cartogram

21. Types of Data Visualisation:
Timeline

22. Types of Data Visualisation:
Flow Chart

23. Types of Data Visualisation:
Steamgraph

24. Types of Data Visualisation:
- Scatterplot, line chart, area chart, bar chart
- Pie chart, tree map, parallel sets
- Radar chart, bubble chart
- Time line, flow chart, steamgraph
- Choropleth, heatmap, flow map, cartogram

25. Types of Data Visualisation:
Choropleth

26. Types of Data Visualisation:
Heatmap

27. Types of Data Visualisation:
Flow Map

28. Types of Data Visualisation:
Flow Map

29. Types of Data Visualisation:
Cartogram

30. Principles of Data Visualisation:
Gestalt Principles of Visual Perception
- Law of proximity
- Law of similarity
- Law of enclosure
- Law of closure
- Law of continuity

31. Principles of Data Visualisation:
Gestalt Principles of Visual Perception
Law of Proximity

32. Principles of Data Visualisation:
Gestalt Principles of Visual Perception
Law of Proximity Law of Familiarity

33. Principles of Data Visualisation:
Gestalt Principles of Visual Perception
Law of Proximity Law of Familiarity
Law of Enclosure

34. Principles of Data Visualisation:
Gestalt Principles of Visual Perception
Law of Proximity Law of Familiarity
Law of ClosureLaw of Enclosure

35. Principles of Data Visualisation:
Gestalt Principles of Visual Perception
Law of Proximity Law of Familiarity
Law of ContinuityLaw of ClosureLaw of Enclosure

36. 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
Source: <http://www.visualcomplexity.com/vc/blog/?p=644>

37. Tools for Working with Data:
- Collection
- Organisation
- Archiving
- Analysis
- Visualisation

38. Tools for Working with Data:
Collection – Nokia Data Gathering

39. Tools for Working with Data:
Collection – Nokia Data Gathering

40. Tools for Working with Data:
Collection – Open Data Kit

41. Tools for Working with Data:
Collection – RapidSMS

42. Tools for Working with Data:
Collection – Open Street Map

43. Tools for Working with Data:
Collection – Google Earth

44. Tools for Working with Data:
Collection – Ushahidi/Crowdmap

45. Tools for Working with Data:
Organisation – Open Refine (Formerly, Google Refine)

46. Tools for Working with Data:
Organisation – Data Wrangler

47. Tools for Working with Data:
Organisation – Mr. Data Converter

48. Tools for Working with Data:
Archiving – CKAN

49. Tools for Working with Data:
Archiving – Open Government Platform (OGPL)

50. Tools for Working with Data:
Archiving – GitHub

51. Tools for Working with Data:
Analysis – Libre Office Calc

52. Tools for Working with Data:
Analysis – Gnumeric

53. Tools for Working with Data:
Analysis – R (and R Studio)

54. Tools for Working with Data:
Analysis – GRASS

55. Tools for Working with Data:
Analysis – Quantum GIS

56. Tools for Working with Data:
Visualisation – Many Eyes

57. Tools for Working with Data:
Visualisation – Tableau Public

58. Tools for Working with Data:
Visualisation – Google Fusion Tables

59. Tools for Working with Data:
Visualisation – Google Chart Tools

60. Tools for Working with Data:
Visualisation – D3.js

61. Tools for Working with Data:
Visualisation – Recline.js

62. Tools for Working with Data:
Visualisation – TileMill

63. Tools for Working with Data:
Visualisation – GeoCommons

64. Tools for Working with Data:
Visualisation – Leaflet

65. Tools for Working with Data:
Visualisation – Wordle

66. Tools for Working with Data:
Visualisation – Gephi

67. Tools for Working with Data:
Visualisation – Dia

68. Tools for Working with Data:
Visualisation – Inkscape