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HELLO!
                         I’m Benjamin from Interactive Things




presented by Interactive Things                                 1
INTERACTIVE THINGS
                User Experience & Data Visualization Studio




presented by Interactive Things                               2
DATAVISUALIZATION.CH
             Resource for Data Visualization & Infographics




presented by Interactive Things                               3
7 Principles for Engaging Users with Visualization
7
          Principles for Engaging Users with Visualization




presented by Interactive Things                              5
SUPPLY
                                  Build an treasure chest of data.




presented by Interactive Things                                      6
7 Principles for Engaging Users with Visualization
7 Principles for Engaging Users with Visualization
7 Principles for Engaging Users with Visualization
7 Principles for Engaging Users with Visualization
7 Principles for Engaging Users with Visualization
NARRATION
                    Tell compelling stories with visualization.




presented by Interactive Things                                   9
Donald Norman




“
Stories are important cognitive
events, for they encapsulate, into
one compact package, information,
knowledge, context, & emotion.


presented by Interactive Things      10
Edward Segel & Jeffrey Heer




Narrative Visualization: Telling Stories with Data


                                  Martini Glass Structure


                                  Interactive Slideshow


                                  Drill-Down Story



presented by Interactive Things                             11
New York Times: Faces of the Dead
Edward Segel & Jeffrey Heer




Narrative Visualization: Telling Stories with Data


                                  Martini Glass Structure


                                  Interactive Slideshow


                                  Drill-Down Story



presented by Interactive Things                             13
New York Times: Budget Forecasts, Compared With Reality
Edward Segel & Jeffrey Heer




Narrative Visualization: Telling Stories with Data


                                  Martini Glass Structure


                                  Interactive Slideshow


                                  Drill-Down Story



presented by Interactive Things                             15
New York Times: Murder: New York City
PERSONALIZATION
                                  Make the reader feel at home.




presented by Interactive Things                                   17
New York Times: Jobless Rate for People Like You
PARTICIPATION
                                  Foster the dialog between people.




presented by Interactive Things                                       19
New York Times: Mapping America
ACTION
                         Inspire the user to create real impact.




presented by Interactive Things                                    21
Green Peace & Daniel Fischer: Small Habits
Global Giving & Roland Loesslein: The Human's Development
MEASUREMENT
                                  Analyze the hell out of your work.




presented by Interactive Things                                        24
Google Analytics   Chartbeat




Bitly              Clicky
UNDP & Interactive Things: Human Development Index 2.0
OECD, Moritz Stefaner & Raureif: Better Life Index
EXPERIMENTATION
                                  Push the medium forward.




presented by Interactive Things                              28
7 Principles for Engaging Users with Visualization
7 Principles for Engaging Users with Visualization
side without overlapping them.
       In our roadside stand example there are three separate
  businesses, but what if there were thirty? Thirty bar charts per
  week lined up next to each other would be too much. A stacked bar
  chart gives us the total sales, but what if we wanted to compare
  within each week? We could make a line graph for each store and
  then plot all thirty on the same graph. That, too, would quickly
  get overcrowded with information. As weʼve seen, once we exceed
  about five or six, we start to run out of unique colours, shapes,
  thicknesses and so on. Graphing thirty at once becomes a mess.


400

300

200

100


      1    2        3         4          5          6         7          8         9          10   11   12




               Peter Gassner. Designing with Data - PDF. 13th August 2010. © Five Simple Steps.
141             A Practical Guide to Designing with data ~ Area graphs and charts




400

300

200

100


      1   2   3          4           5         6          7          8          9     10   11   12



                  This is the niche that horizon graphs are designed to fill. They are
                  basic line graphs split horizontally into a set number of bands.
                  This example uses four bands, but they can contain as many
                  as required. Each of the bands is coloured with an increasing
                  intensity of blue. So far, this is no different than a standard line
                  graph with some interesting shading.
                       The next part is the Eureka! moment. Since we are really only
                  interested in the outer edge of the line graph, why not collapse
                  each of the bands on top of each other to save space?
200

100


      1       2       3           4       5       6       7       8       9        10        11        12



                          This is the niche that horizon graphs are designed to fill. They are
                          basic line graphs split horizontally into a set number of bands.
                          This example uses four bands, but they can contain as many
                          as required. Each of the bands is coloured with an increasing
                          intensity of blue. So far, this is no different than a standard line
                          graph with some interesting shading.
                               The next part is the Eureka! moment. Since we are really only
                          interested in the outer edge of the line graph, why not collapse
                          each of the bands on top of each other to save space?




  1       2       3           4       5       6       7       8       9       10        11        12


                          Now we have the same data presented in a quarter of the space.
                          By changing the colour of the shading, the graph appears to be
                          stacking up the parts. There is nothing hiding behind any of the
                          peaks so, unlike 3-D charts, nothing is being obscured.
                               This works with both positive and negative values.
                          Maybe in some weeks the shops were making a loss, which can
                          be represented with a different colour, such as varying intensities
                          of red.
142




400
300
200
100

 -100
-200
-300
-400
        1   2   3   4   5   6   7   8   9    10   11   12   13   14   15   16   17   18   19   20



        1   2   3   4   5   6   7   8   9    10   11   12   13   14   15   16   17   18   19   20


   Now you can rapidly see which weeks saw gains and which saw
   losses, and at the same time also watch the line trend upwards
   or downwards.
       The horizon graph works really well when large numbers of
   data sets need to be compared. Converting one line graph into a
   horizon graph does save some space, but now that we have this
   ribbon, we can stack more ribbons on top to get a quick view of all
400
   300
   200
   100

   -100
  -200
  -300
  -400
          1   2   3   4   5   6    7   8   9    10   11   12   13   14   15   16   17   18   19   20



          1   2   3   4   5   6    7   8   9    10   11   12   13   14   15   16   17   18   19   20


      Now you can rapidly see which weeks saw gains and which saw
      losses, and at the same time also watch the line trend upwards
      or downwards.
          The horizon graph works really well when large numbers of
      data sets need to be compared. Converting one line graph into a
      horizon graph does save some space, but now that we have this
      ribbon, we can stack more ribbons on top to get a quick view of all
      the different shops and compare them in a limited space.


Shop 27



Shop 28
Computed                         Interactive   Dynamic   Animated




presented by Interactive Things                                  32
Radiales Netzwerk
Radial Network with
Radiales Netzwerk Edge Bundling
Force Directed Layout
Force Directed Layout
Streamgraph
Voronoi Tessalation
Computed                         Interactive   Dynamic   Animated




presented by Interactive Things                                  37
Moritz Stefaner: Map Your Moves
PushPopPress: Our Choice
Computed                         Interactive   Dynamic   Animated




presented by Interactive Things                                  40
GE & Periscopic: Cancer Conversations
Computed                         Interactive   Dynamic   Animated




presented by Interactive Things                                  42
City of Geneva, Lift & Interactive Things: Ville Vivante
SUPPLY
                                     NARRATION
                                  PERSONALIZATION
                                      ACTION
                                   MEASUREMENT
                                  EXPERIMENTATION
presented by Interactive Things                     44
7 Principles for Engaging Users with Visualization
Edward Tufte




“
The idea for information design is:
Don't get it original, get it right.




presented by Interactive Things        46
MERCI!
 Don’t hesitate to get in touch:
    +41 44 267 66 44
    hello@interactivethings.com
    @ixt




presented by Interactive Things    47

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7 Principles for Engaging Users with Visualization

  • 1. HELLO! I’m Benjamin from Interactive Things presented by Interactive Things 1
  • 2. INTERACTIVE THINGS User Experience & Data Visualization Studio presented by Interactive Things 2
  • 3. DATAVISUALIZATION.CH Resource for Data Visualization & Infographics presented by Interactive Things 3
  • 5. 7 Principles for Engaging Users with Visualization presented by Interactive Things 5
  • 6. SUPPLY Build an treasure chest of data. presented by Interactive Things 6
  • 12. NARRATION Tell compelling stories with visualization. presented by Interactive Things 9
  • 13. Donald Norman “ Stories are important cognitive events, for they encapsulate, into one compact package, information, knowledge, context, & emotion. presented by Interactive Things 10
  • 14. Edward Segel & Jeffrey Heer Narrative Visualization: Telling Stories with Data Martini Glass Structure Interactive Slideshow Drill-Down Story presented by Interactive Things 11
  • 15. New York Times: Faces of the Dead
  • 16. Edward Segel & Jeffrey Heer Narrative Visualization: Telling Stories with Data Martini Glass Structure Interactive Slideshow Drill-Down Story presented by Interactive Things 13
  • 17. New York Times: Budget Forecasts, Compared With Reality
  • 18. Edward Segel & Jeffrey Heer Narrative Visualization: Telling Stories with Data Martini Glass Structure Interactive Slideshow Drill-Down Story presented by Interactive Things 15
  • 19. New York Times: Murder: New York City
  • 20. PERSONALIZATION Make the reader feel at home. presented by Interactive Things 17
  • 21. New York Times: Jobless Rate for People Like You
  • 22. PARTICIPATION Foster the dialog between people. presented by Interactive Things 19
  • 23. New York Times: Mapping America
  • 24. ACTION Inspire the user to create real impact. presented by Interactive Things 21
  • 25. Green Peace & Daniel Fischer: Small Habits
  • 26. Global Giving & Roland Loesslein: The Human's Development
  • 27. MEASUREMENT Analyze the hell out of your work. presented by Interactive Things 24
  • 28. Google Analytics Chartbeat Bitly Clicky
  • 29. UNDP & Interactive Things: Human Development Index 2.0
  • 30. OECD, Moritz Stefaner & Raureif: Better Life Index
  • 31. EXPERIMENTATION Push the medium forward. presented by Interactive Things 28
  • 34. side without overlapping them. In our roadside stand example there are three separate businesses, but what if there were thirty? Thirty bar charts per week lined up next to each other would be too much. A stacked bar chart gives us the total sales, but what if we wanted to compare within each week? We could make a line graph for each store and then plot all thirty on the same graph. That, too, would quickly get overcrowded with information. As weʼve seen, once we exceed about five or six, we start to run out of unique colours, shapes, thicknesses and so on. Graphing thirty at once becomes a mess. 400 300 200 100 1 2 3 4 5 6 7 8 9 10 11 12 Peter Gassner. Designing with Data - PDF. 13th August 2010. © Five Simple Steps.
  • 35. 141 A Practical Guide to Designing with data ~ Area graphs and charts 400 300 200 100 1 2 3 4 5 6 7 8 9 10 11 12 This is the niche that horizon graphs are designed to fill. They are basic line graphs split horizontally into a set number of bands. This example uses four bands, but they can contain as many as required. Each of the bands is coloured with an increasing intensity of blue. So far, this is no different than a standard line graph with some interesting shading. The next part is the Eureka! moment. Since we are really only interested in the outer edge of the line graph, why not collapse each of the bands on top of each other to save space?
  • 36. 200 100 1 2 3 4 5 6 7 8 9 10 11 12 This is the niche that horizon graphs are designed to fill. They are basic line graphs split horizontally into a set number of bands. This example uses four bands, but they can contain as many as required. Each of the bands is coloured with an increasing intensity of blue. So far, this is no different than a standard line graph with some interesting shading. The next part is the Eureka! moment. Since we are really only interested in the outer edge of the line graph, why not collapse each of the bands on top of each other to save space? 1 2 3 4 5 6 7 8 9 10 11 12 Now we have the same data presented in a quarter of the space. By changing the colour of the shading, the graph appears to be stacking up the parts. There is nothing hiding behind any of the peaks so, unlike 3-D charts, nothing is being obscured. This works with both positive and negative values. Maybe in some weeks the shops were making a loss, which can be represented with a different colour, such as varying intensities of red.
  • 37. 142 400 300 200 100 -100 -200 -300 -400 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Now you can rapidly see which weeks saw gains and which saw losses, and at the same time also watch the line trend upwards or downwards. The horizon graph works really well when large numbers of data sets need to be compared. Converting one line graph into a horizon graph does save some space, but now that we have this ribbon, we can stack more ribbons on top to get a quick view of all
  • 38. 400 300 200 100 -100 -200 -300 -400 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Now you can rapidly see which weeks saw gains and which saw losses, and at the same time also watch the line trend upwards or downwards. The horizon graph works really well when large numbers of data sets need to be compared. Converting one line graph into a horizon graph does save some space, but now that we have this ribbon, we can stack more ribbons on top to get a quick view of all the different shops and compare them in a limited space. Shop 27 Shop 28
  • 39. Computed Interactive Dynamic Animated presented by Interactive Things 32
  • 41. Radial Network with Radiales Netzwerk Edge Bundling
  • 46. Computed Interactive Dynamic Animated presented by Interactive Things 37
  • 47. Moritz Stefaner: Map Your Moves
  • 49. Computed Interactive Dynamic Animated presented by Interactive Things 40
  • 50. GE & Periscopic: Cancer Conversations
  • 51. Computed Interactive Dynamic Animated presented by Interactive Things 42
  • 52. City of Geneva, Lift & Interactive Things: Ville Vivante
  • 53. SUPPLY NARRATION PERSONALIZATION ACTION MEASUREMENT EXPERIMENTATION presented by Interactive Things 44
  • 55. Edward Tufte “ The idea for information design is: Don't get it original, get it right. presented by Interactive Things 46
  • 56. MERCI! Don’t hesitate to get in touch: +41 44 267 66 44 hello@interactivethings.com @ixt presented by Interactive Things 47