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AN EXPLORATORY STUDY
OF DATA SKETCHING
FOR VISUAL REPRESENTATION
Jagoda Walny, Samuel Huron, and Sheelagh Carpendale
InnoV...
Why data sketching?
➡Low barrier to entry
3
➡Low barrier to entry
➡Rapid
3
➡Low barrier to entry
➡Rapid
➡Freeform
3
Data Sketching Study
Data Sketching Study
“Represent the data on the blank sheets of paper
in any way you wish”
Data Sketching Study
9F
13M
3 sessions: 7 / 8 / 7
5
Procedure
➡Scripted
➡Planned answers
➡Questionnaire
6
“Please describe what you learned or found
interesting about this data during the session.
(there are no wrong answers)”
7
Dataset
Run Talk Kiss Write Eat Sleep Mumble Read Fight Belch Argue Jump Cry Laugh Shout
Class 2.52 6.21 2.10 8.17 4.23 3....
Dataset
Run Talk Kiss Write Eat Sleep Mumble Read Fight Belch Argue Jump Cry Laugh Shout
Class 2.52 6.21 2.10 8.17 4.23 3....
Dataset
Run Talk Kiss Write Eat Sleep Mumble Read Fight Belch Argue Jump Cry Laugh Shout
Class 2.52 6.21 2.10 8.17 4.23 3....
AUDIENCE PARTICIPATION!
j.mp/datasketching
AUDIENCE PARTICIPATION!
Analysis
35 Representations + Dataset sheets + Questionnaires
➡ Qualitative coding
➡ Collaborative
10
Continuum:
Numeracy to Abstractness
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
16
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
17
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
18
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
19
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
19
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
20
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
21
22
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
23
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
23
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABST...
Spectrum of Data
Reports
“Please describe what you learned or
found interesting about this data during
the session.
(there...
A B C D E F
Information Intrinsic to Dataset
25
A B C D E F
Information Intrinsic to Dataset
• A. Individual values
• e.g. “fighting in church is inappropriate”
25
A B C D E F
Information Intrinsic to Dataset
• A. Individual values
• e.g. “fighting in church is inappropriate”
• B. Summ...
A B C D E F
Information Intrinsic to Dataset
• A. Individual values
• e.g. “fighting in church is inappropriate”
• B. Summ...
A B C D E F
Dataset-level Trends and Comparisons
26
A B C D E F
Dataset-level Trends and Comparisons
• Compare three or more rows/columns
26
A B C D E F
Dataset-level Trends and Comparisons
• Compare three or more rows/columns
• Group items by value
26
A B C D E F
Dataset-level Trends and Comparisons
• Compare three or more rows/columns
• Group items by value
• Make global...
A B C D E F
Dataset-level Trends and Comparisons
• Compare three or more rows/columns
• Group items by value
• Make global...
A B C D E F
Dataset-level Trends and Comparisons
• Compare three or more rows/columns
• Group items by value
• Make global...
A B C D E F
Including Extrinsic Information
27
A B C D E F
Including Extrinsic Information
• Classify
• e.g. “comfortable”, “safe”, “aggressive”
27
A B C D E F
Including Extrinsic Information
• Classify
• e.g. “comfortable”, “safe”, “aggressive”
• Compare to expectation...
A B C D E F
Including Extrinsic Information
• Classify
• e.g. “comfortable”, “safe”, “aggressive”
• Compare to expectation...
A B C D E F
Analytic Potential
28
A B C D E F
Analytic Potential
• Hypotheses or conjectures about the reasons behind the
values in the dataset
28
A B C D E F
Analytic Potential
• Hypotheses or conjectures about the reasons behind the
values in the dataset
• E.g. “it a...
A B C D E F
Analytic Potential
• Hypotheses or conjectures about the reasons behind the
values in the dataset
• E.g. “it a...
Integration of
Results
A B C D FE
EXP
EXP
A B C D FE
EXP
A B C D FE
EXP
1 2 3 4
EXP
A B C D FE
EXP
A B C D FE
EXP
1 2 3 4
A B C D FE 1 2 3 4
EXP
A B C D FE 1 2 3 4
EXP
A B C D FE 1 2 3 4
EXP
COUNTABLEDOTPLOTS&
MATRICES
BARCHARTSLINEGRAPH&
PARALLELCOORDS
GRAPHLIKEVENNPICTORIALRANKEDLIST
NUM...
A B C D FE 1 2 3 4
EXP
A B C D FE 1 2 3 4
EXP
Levels of
Data Description
36
Levels of Data Description
Levels of Data Description
A B C D E F
Levels of Data Description
A B C D E F
1
1. Value-level of Data Description
38
A B C D E F
1
2. Dimension-level of Data Description
40
A B C D E F
1
2. Dimension-level of Data Description
2
40
41
A B C D E F
1
2
3. Global level of Data Description
42
3
A B C D E F
1
2
3. Global level of Data Description
42
43
A B C D E F
1
2
3
4. External level of Data Description
44
4
A B C D E F
1
2
3
4. External level of Data Description
44
45
46
A B C D E F
1
2
3
4
Levels of Data Description
47
Going forward…
➡ Viewing representations in terms of levels
of data description
49
➡ Viewing representations in terms of levels
of data description
➡ Understanding advantages of sketching
for representatio...
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUMERIC ABSTRAC...
A B C D E F
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED LIST
NUM...
1
2
3
4
A B C D E F
COUNTABLE DOT PLOTS &
MATRICES
BARCHARTS LINE GRAPH &
PARALLEL COORDS
GRAPH LIKE VENN PICTORIALRANKED ...
Thank you:
An Exploratory Study of Data Sketching for
Visual Representation
Jagoda Walny - jkwalny@ucalgary.ca
Samuel Huro...
PROJECT WEBSITE: j.mp/datasketching
Send us your sketches! @jawalnut • jkwalny@ucalgary.ca
An Exploratory Study of Data Sketching for Visual Representation - EuroVis 2015
An Exploratory Study of Data Sketching for Visual Representation - EuroVis 2015
An Exploratory Study of Data Sketching for Visual Representation - EuroVis 2015
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An Exploratory Study of Data Sketching for Visual Representation - EuroVis 2015

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More details at http://j.mp/datasketching

Hand-drawn sketching, on napkins or whiteboards, is a common, accessible method for generating visual data representations. This practice is shared by experts and non-experts and is probably one of the faster and more expressive ways to draft a visual representation of the data. In order to better understand the types of and variations in what people produce when sketching data, we conducted a qualitative study. We asked people with varying degrees of visualization expertise, from novices to experts, to manually sketch representations of a small, easily understandable dataset using pencils and paper and to report on what they learned or found interesting about the data. From this study, we extract a data sketching representation continuum from numeracy to abstraction; a data report spectrum from individual data items to speculative data hypothesis; and show the correspondence between the representation types and the data reports from our results set. From these observations we discuss the participants’ representations in relation to their data reports, indicating implications for design and potentially fruitful directions for research.

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An Exploratory Study of Data Sketching for Visual Representation - EuroVis 2015

  1. 1. AN EXPLORATORY STUDY OF DATA SKETCHING FOR VISUAL REPRESENTATION Jagoda Walny, Samuel Huron, and Sheelagh Carpendale InnoVis & Interactions Lab, University of Calgary EuroVis 2015, Cagliari, Italy
  2. 2. Why data sketching?
  3. 3. ➡Low barrier to entry 3
  4. 4. ➡Low barrier to entry ➡Rapid 3
  5. 5. ➡Low barrier to entry ➡Rapid ➡Freeform 3
  6. 6. Data Sketching Study
  7. 7. Data Sketching Study “Represent the data on the blank sheets of paper in any way you wish”
  8. 8. Data Sketching Study 9F 13M 3 sessions: 7 / 8 / 7 5
  9. 9. Procedure ➡Scripted ➡Planned answers ➡Questionnaire 6
  10. 10. “Please describe what you learned or found interesting about this data during the session. (there are no wrong answers)” 7
  11. 11. Dataset Run Talk Kiss Write Eat Sleep Mumble Read Fight Belch Argue Jump Cry Laugh Shout Class 2.52 6.21 2.10 8.17 4.23 3.60 3.62 7.27 1.21 1.77 5.33 1.79 2.21 6.23 1.94 Date 5.00 8.56 8.73 3.62 7.79 3.77 3.12 2.88 3.58 2.23 4.50 4.42 3.04 8.00 3.79 Bus 1.44 8.08 4.27 4.87 5.48 7.04 5.17 7.17 1.52 2.15 4.17 3.12 3.08 7.10 3.00 Family dinner 2.56 8.52 4.92 2.58 8.44 2.29 2.54 3.96 1.67 2.50 3.25 2.29 3.21 7.13 1.96 Park 7.94 8.42 7.71 7.00 8.13 5.63 5.40 7.77 3.06 5.00 5.06 7.42 5.21 8.10 6.92 Church 1.38 3.29 2.38 2.85 1.38 1.77 3.52 3.58 0.62 1.42 1.92 1.71 3.13 2.60 1.33 Job interview 1.94 8.46 1.08 4.85 1.73 0.75 1.31 2.48 1.04 1.21 1.83 1.48 1.37 5.88 1.65 Sidewalk 5.58 8.19 4.75 3.38 4.83 1.46 4.96 4.81 1.46 2.81 4.08 3.54 3.71 7.40 4.88 Movies 2.46 4.98 6.21 2.73 7.48 4.08 4.13 1.73 1.37 2.58 1.71 2.31 7.15 7.94 2.42 Bar 1.96 8.25 5.17 5.38 7.67 2.90 6.21 4.71 1.90 5.04 4.31 3.75 3.44 8.23 4.13 Elevator 1.63 7.40 4.79 3.04 5.10 1.31 5.12 4.48 1.58 2.54 2.58 2.12 3.48 6.77 1.73 Restroom 2.83 7.25 2.81 3.46 2.35 2.83 5.04 4.75 1.77 5.12 3.48 3.65 4.79 5.90 3.52 Own room 6.15 8.58 8.52 8.29 7.94 8.85 7.67 8.58 4.25 6.81 7.52 6.73 8.00 8.17 6.44 Dorm lounge 4.40 7.88 6.54 7.73 7.19 6.08 5.50 8.56 2.40 4.00 4.88 4.58 3.88 7.75 3.60 Football game 4.12 8.08 5.08 4.56 8.04 2.98 5.23 3.69 2.04 3.85 4.98 7.12 4.31 7.90 7.94 9 = "The behavior is extremely appropriate in this situation." Behavior Situation Mean Appropriateness Ratings for 225 Behavior-Situation Combinations Note: 0 = "The behavior is extremely inappropriate in this situation." Price R. H., Bouffard D. L.: Behavioral appropriateness and situational constraint as dimensions of social behavior. Journal of Personality and Social Psychology (1974). 8
  12. 12. Dataset Run Talk Kiss Write Eat Sleep Mumble Read Fight Belch Argue Jump Cry Laugh Shout Class 2.52 6.21 2.10 8.17 4.23 3.60 3.62 7.27 1.21 1.77 5.33 1.79 2.21 6.23 1.94 Date 5.00 8.56 8.73 3.62 7.79 3.77 3.12 2.88 3.58 2.23 4.50 4.42 3.04 8.00 3.79 Bus 1.44 8.08 4.27 4.87 5.48 7.04 5.17 7.17 1.52 2.15 4.17 3.12 3.08 7.10 3.00 Family dinner 2.56 8.52 4.92 2.58 8.44 2.29 2.54 3.96 1.67 2.50 3.25 2.29 3.21 7.13 1.96 Park 7.94 8.42 7.71 7.00 8.13 5.63 5.40 7.77 3.06 5.00 5.06 7.42 5.21 8.10 6.92 Church 1.38 3.29 2.38 2.85 1.38 1.77 3.52 3.58 0.62 1.42 1.92 1.71 3.13 2.60 1.33 Job interview 1.94 8.46 1.08 4.85 1.73 0.75 1.31 2.48 1.04 1.21 1.83 1.48 1.37 5.88 1.65 Sidewalk 5.58 8.19 4.75 3.38 4.83 1.46 4.96 4.81 1.46 2.81 4.08 3.54 3.71 7.40 4.88 Movies 2.46 4.98 6.21 2.73 7.48 4.08 4.13 1.73 1.37 2.58 1.71 2.31 7.15 7.94 2.42 Bar 1.96 8.25 5.17 5.38 7.67 2.90 6.21 4.71 1.90 5.04 4.31 3.75 3.44 8.23 4.13 Elevator 1.63 7.40 4.79 3.04 5.10 1.31 5.12 4.48 1.58 2.54 2.58 2.12 3.48 6.77 1.73 Restroom 2.83 7.25 2.81 3.46 2.35 2.83 5.04 4.75 1.77 5.12 3.48 3.65 4.79 5.90 3.52 Own room 6.15 8.58 8.52 8.29 7.94 8.85 7.67 8.58 4.25 6.81 7.52 6.73 8.00 8.17 6.44 Dorm lounge 4.40 7.88 6.54 7.73 7.19 6.08 5.50 8.56 2.40 4.00 4.88 4.58 3.88 7.75 3.60 Football game 4.12 8.08 5.08 4.56 8.04 2.98 5.23 3.69 2.04 3.85 4.98 7.12 4.31 7.90 7.94 9 = "The behavior is extremely appropriate in this situation." Behavior Situation Mean Appropriateness Ratings for 225 Behavior-Situation Combinations Note: 0 = "The behavior is extremely inappropriate in this situation." Price R. H., Bouffard D. L.: Behavioral appropriateness and situational constraint as dimensions of social behavior. Journal of Personality and Social Psychology (1974). 8
  13. 13. Dataset Run Talk Kiss Write Eat Sleep Mumble Read Fight Belch Argue Jump Cry Laugh Shout Class 2.52 6.21 2.10 8.17 4.23 3.60 3.62 7.27 1.21 1.77 5.33 1.79 2.21 6.23 1.94 Date 5.00 8.56 8.73 3.62 7.79 3.77 3.12 2.88 3.58 2.23 4.50 4.42 3.04 8.00 3.79 Bus 1.44 8.08 4.27 4.87 5.48 7.04 5.17 7.17 1.52 2.15 4.17 3.12 3.08 7.10 3.00 Family dinner 2.56 8.52 4.92 2.58 8.44 2.29 2.54 3.96 1.67 2.50 3.25 2.29 3.21 7.13 1.96 Park 7.94 8.42 7.71 7.00 8.13 5.63 5.40 7.77 3.06 5.00 5.06 7.42 5.21 8.10 6.92 Church 1.38 3.29 2.38 2.85 1.38 1.77 3.52 3.58 0.62 1.42 1.92 1.71 3.13 2.60 1.33 Job interview 1.94 8.46 1.08 4.85 1.73 0.75 1.31 2.48 1.04 1.21 1.83 1.48 1.37 5.88 1.65 Sidewalk 5.58 8.19 4.75 3.38 4.83 1.46 4.96 4.81 1.46 2.81 4.08 3.54 3.71 7.40 4.88 Movies 2.46 4.98 6.21 2.73 7.48 4.08 4.13 1.73 1.37 2.58 1.71 2.31 7.15 7.94 2.42 Bar 1.96 8.25 5.17 5.38 7.67 2.90 6.21 4.71 1.90 5.04 4.31 3.75 3.44 8.23 4.13 Elevator 1.63 7.40 4.79 3.04 5.10 1.31 5.12 4.48 1.58 2.54 2.58 2.12 3.48 6.77 1.73 Restroom 2.83 7.25 2.81 3.46 2.35 2.83 5.04 4.75 1.77 5.12 3.48 3.65 4.79 5.90 3.52 Own room 6.15 8.58 8.52 8.29 7.94 8.85 7.67 8.58 4.25 6.81 7.52 6.73 8.00 8.17 6.44 Dorm lounge 4.40 7.88 6.54 7.73 7.19 6.08 5.50 8.56 2.40 4.00 4.88 4.58 3.88 7.75 3.60 Football game 4.12 8.08 5.08 4.56 8.04 2.98 5.23 3.69 2.04 3.85 4.98 7.12 4.31 7.90 7.94 9 = "The behavior is extremely appropriate in this situation." Behavior Situation Mean Appropriateness Ratings for 225 Behavior-Situation Combinations Note: 0 = "The behavior is extremely inappropriate in this situation." Price R. H., Bouffard D. L.: Behavioral appropriateness and situational constraint as dimensions of social behavior. Journal of Personality and Social Psychology (1974). 8
  14. 14. AUDIENCE PARTICIPATION!
  15. 15. j.mp/datasketching AUDIENCE PARTICIPATION!
  16. 16. Analysis 35 Representations + Dataset sheets + Questionnaires ➡ Qualitative coding ➡ Collaborative 10
  17. 17. Continuum: Numeracy to Abstractness
  18. 18. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 12
  19. 19. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 12
  20. 20. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 12
  21. 21. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 13 Countable, Dot Plots & Matrices
  22. 22. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 14 Countable, Dot Plots & Matrices
  23. 23. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 14 Countable, Dot Plots & Matrices
  24. 24. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 15 Bar Charts, Line Graphs, Parallel Coordinates
  25. 25. 16 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Bar Charts, Line Graphs, Parallel Coordinates
  26. 26. 17 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Ranked Lists
  27. 27. 18 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Graph-like Representations & Venn Diagrams
  28. 28. 19 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Graph-like Representations & Venn Diagrams
  29. 29. 19 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Graph-like Representations & Venn Diagrams
  30. 30. 20 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Pictorial Representations
  31. 31. 21
  32. 32. 22 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Pictorial Representations
  33. 33. 23 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Pictorial Representations
  34. 34. 23 COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT Pictorial Representations
  35. 35. Spectrum of Data Reports “Please describe what you learned or found interesting about this data during the session. (there are no wrong answers)”
  36. 36. A B C D E F Information Intrinsic to Dataset 25
  37. 37. A B C D E F Information Intrinsic to Dataset • A. Individual values • e.g. “fighting in church is inappropriate” 25
  38. 38. A B C D E F Information Intrinsic to Dataset • A. Individual values • e.g. “fighting in church is inappropriate” • B. Summarized rows or columns • e.g. “there aren’t many behaviours appropriate in church” 25
  39. 39. A B C D E F Information Intrinsic to Dataset • A. Individual values • e.g. “fighting in church is inappropriate” • B. Summarized rows or columns • e.g. “there aren’t many behaviours appropriate in church” • C. Compared two rows or columns • “Date and own room have the similar rating for ‘kiss’. Other ratings in these two situations are close to each other.” 25
  40. 40. A B C D E F Dataset-level Trends and Comparisons 26
  41. 41. A B C D E F Dataset-level Trends and Comparisons • Compare three or more rows/columns 26
  42. 42. A B C D E F Dataset-level Trends and Comparisons • Compare three or more rows/columns • Group items by value 26
  43. 43. A B C D E F Dataset-level Trends and Comparisons • Compare three or more rows/columns • Group items by value • Make global comparisons 26
  44. 44. A B C D E F Dataset-level Trends and Comparisons • Compare three or more rows/columns • Group items by value • Make global comparisons • E.g. “Several situations which have a similar rate for one specific behavior tend to be similar for other behaviors.” 26
  45. 45. A B C D E F Dataset-level Trends and Comparisons • Compare three or more rows/columns • Group items by value • Make global comparisons • E.g. “Several situations which have a similar rate for one specific behavior tend to be similar for other behaviors.” • E.g. Binning: “completely appropriate”, “somewhat appropriate”, “highly inappropriate” 26
  46. 46. A B C D E F Including Extrinsic Information 27
  47. 47. A B C D E F Including Extrinsic Information • Classify • e.g. “comfortable”, “safe”, “aggressive” 27
  48. 48. A B C D E F Including Extrinsic Information • Classify • e.g. “comfortable”, “safe”, “aggressive” • Compare to expectations • “mumbling + talking diverged more than expected.” 27
  49. 49. A B C D E F Including Extrinsic Information • Classify • e.g. “comfortable”, “safe”, “aggressive” • Compare to expectations • “mumbling + talking diverged more than expected.” • Explain in domain context • “people care a lot in job interviews” 27
  50. 50. A B C D E F Analytic Potential 28
  51. 51. A B C D E F Analytic Potential • Hypotheses or conjectures about the reasons behind the values in the dataset 28
  52. 52. A B C D E F Analytic Potential • Hypotheses or conjectures about the reasons behind the values in the dataset • E.g. “it appears the park might be the same as one's own room... anonymity? “ 28
  53. 53. A B C D E F Analytic Potential • Hypotheses or conjectures about the reasons behind the values in the dataset • E.g. “it appears the park might be the same as one's own room... anonymity? “ • E.g. “I found out that there seem to be more women in the dataset than men because most inappropriate behaviours to men (i.e. Talking in the restroom) is still above 5. ” 28
  54. 54. Integration of Results
  55. 55. A B C D FE EXP
  56. 56. EXP
  57. 57. A B C D FE EXP
  58. 58. A B C D FE EXP 1 2 3 4
  59. 59. EXP
  60. 60. A B C D FE EXP
  61. 61. A B C D FE EXP 1 2 3 4
  62. 62. A B C D FE 1 2 3 4 EXP
  63. 63. A B C D FE 1 2 3 4 EXP
  64. 64. A B C D FE 1 2 3 4 EXP COUNTABLEDOTPLOTS& MATRICES BARCHARTSLINEGRAPH& PARALLELCOORDS GRAPHLIKEVENNPICTORIALRANKEDLIST NUMERICABSTRACT
  65. 65. A B C D FE 1 2 3 4 EXP
  66. 66. A B C D FE 1 2 3 4 EXP
  67. 67. Levels of Data Description 36
  68. 68. Levels of Data Description
  69. 69. Levels of Data Description
  70. 70. A B C D E F Levels of Data Description
  71. 71. A B C D E F 1 1. Value-level of Data Description 38
  72. 72. A B C D E F 1 2. Dimension-level of Data Description 40
  73. 73. A B C D E F 1 2. Dimension-level of Data Description 2 40
  74. 74. 41
  75. 75. A B C D E F 1 2 3. Global level of Data Description 42
  76. 76. 3 A B C D E F 1 2 3. Global level of Data Description 42
  77. 77. 43
  78. 78. A B C D E F 1 2 3 4. External level of Data Description 44
  79. 79. 4 A B C D E F 1 2 3 4. External level of Data Description 44
  80. 80. 45
  81. 81. 46
  82. 82. A B C D E F 1 2 3 4 Levels of Data Description 47
  83. 83. Going forward…
  84. 84. ➡ Viewing representations in terms of levels of data description 49
  85. 85. ➡ Viewing representations in terms of levels of data description ➡ Understanding advantages of sketching for representation and data understanding 49
  86. 86. COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 50
  87. 87. A B C D E F COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 50
  88. 88. 1 2 3 4 A B C D E F COUNTABLE DOT PLOTS & MATRICES BARCHARTS LINE GRAPH & PARALLEL COORDS GRAPH LIKE VENN PICTORIALRANKED LIST NUMERIC ABSTRACT 50
  89. 89. Thank you: An Exploratory Study of Data Sketching for Visual Representation Jagoda Walny - jkwalny@ucalgary.ca Samuel Huron - samuel.huron@cybunk.com Sheelagh Carpendale - sheelagh@ucalgary.ca PROJECT WEBSITE: j.mp/datasketching
  90. 90. PROJECT WEBSITE: j.mp/datasketching Send us your sketches! @jawalnut • jkwalny@ucalgary.ca

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