Ashoka Future Forum - Workshop - Using Data for Impact #02

1,739 views

Published on

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.

Published in: Technology, Art & Photos
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,739
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Ashoka Future Forum - Workshop - Using Data for Impact #02

  1. 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. 2. Tools and Methods for Working with Data
  3. 3. What is Data? - It depends upon the context - It depends upon the question - It depends upon the (hypothetical) answer
  4. 4. Types of Data: - Quantitative - Qualitative - Spatial - Sensory
  5. 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. 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. 7. Types of Data Visualisation: Scatterplot
  8. 8. Types of Data Visualisation: Line Chart
  9. 9. Types of Data Visualisation: Area Chart
  10. 10. Types of Data Visualisation: Bar Chart
  11. 11. Types of Data Visualisation: Stacked Bar Chart
  12. 12. Types of Data Visualisation: Grouped Bar Chart
  13. 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. 14. Introduction to Data Visualisation: Types Pie Chart
  15. 15. Introduction to Data Visualisation: Types Tree Map
  16. 16. Introduction to Data Visualisation: Types Parallel Sets
  17. 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. 18. Introduction to Data Visualisation: Types Radar Chart
  19. 19. Introduction to Data Visualisation: Types Bubble Chart
  20. 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. 21. Types of Data Visualisation: Timeline
  22. 22. Types of Data Visualisation: Flow Chart
  23. 23. Types of Data Visualisation: Steamgraph
  24. 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. 25. Types of Data Visualisation: Choropleth
  26. 26. Types of Data Visualisation: Heatmap
  27. 27. Types of Data Visualisation: Flow Map
  28. 28. Types of Data Visualisation: Flow Map
  29. 29. Types of Data Visualisation: Cartogram
  30. 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. 31. Principles of Data Visualisation: Gestalt Principles of Visual Perception Law of Proximity
  32. 32. Principles of Data Visualisation: Gestalt Principles of Visual Perception Law of Proximity Law of Familiarity
  33. 33. Principles of Data Visualisation: Gestalt Principles of Visual Perception Law of Proximity Law of Familiarity Law of Enclosure
  34. 34. Principles of Data Visualisation: Gestalt Principles of Visual Perception Law of Proximity Law of Familiarity Law of ClosureLaw of Enclosure
  35. 35. Principles of Data Visualisation: Gestalt Principles of Visual Perception Law of Proximity Law of Familiarity Law of ContinuityLaw of ClosureLaw of Enclosure
  36. 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. 37. Tools for Working with Data: - Collection - Organisation - Archiving - Analysis - Visualisation
  38. 38. Tools for Working with Data: Collection – Nokia Data Gathering
  39. 39. Tools for Working with Data: Collection – Nokia Data Gathering
  40. 40. Tools for Working with Data: Collection – Open Data Kit
  41. 41. Tools for Working with Data: Collection – RapidSMS
  42. 42. Tools for Working with Data: Collection – Open Street Map
  43. 43. Tools for Working with Data: Collection – Google Earth
  44. 44. Tools for Working with Data: Collection – Ushahidi/Crowdmap
  45. 45. Tools for Working with Data: Organisation – Open Refine (Formerly, Google Refine)
  46. 46. Tools for Working with Data: Organisation – Data Wrangler
  47. 47. Tools for Working with Data: Organisation – Mr. Data Converter
  48. 48. Tools for Working with Data: Archiving – CKAN
  49. 49. Tools for Working with Data: Archiving – Open Government Platform (OGPL)
  50. 50. Tools for Working with Data: Archiving – GitHub
  51. 51. Tools for Working with Data: Analysis – Libre Office Calc
  52. 52. Tools for Working with Data: Analysis – Gnumeric
  53. 53. Tools for Working with Data: Analysis – R (and R Studio)
  54. 54. Tools for Working with Data: Analysis – GRASS
  55. 55. Tools for Working with Data: Analysis – Quantum GIS
  56. 56. Tools for Working with Data: Visualisation – Many Eyes
  57. 57. Tools for Working with Data: Visualisation – Tableau Public
  58. 58. Tools for Working with Data: Visualisation – Google Fusion Tables
  59. 59. Tools for Working with Data: Visualisation – Google Chart Tools
  60. 60. Tools for Working with Data: Visualisation – D3.js
  61. 61. Tools for Working with Data: Visualisation – Recline.js
  62. 62. Tools for Working with Data: Visualisation – TileMill
  63. 63. Tools for Working with Data: Visualisation – GeoCommons
  64. 64. Tools for Working with Data: Visualisation – Leaflet
  65. 65. Tools for Working with Data: Visualisation – Wordle
  66. 66. Tools for Working with Data: Visualisation – Gephi
  67. 67. Tools for Working with Data: Visualisation – Dia
  68. 68. Tools for Working with Data: Visualisation – Inkscape

×