INDEX
- Abela, Andrew, 92–93, 148
- Accenture Technology Labs, 4–5
- Adobe Illustrator, 108, 126
- aesthetics, 28, 126
- aggregate data, 40–41
- alignment, 130–131, 164
- alluvial diagrams, 207–208
- Alvarez, George, 205, 211
- ambiguity, 136, 164
- animation, 226–227
- attention, 27
- automation, 30
- availability, of salient information, 152
- axes, 131, 140, 164
- bait-and-switch, 222–223
- bar charts, 40, 41, 95
- Barnett, Sam, 225
- basics, documenting, 85
- before-and-after charts, 221
- belt-and-suspenders design, 145, 164
- Bertin, Jacques, 23–24, 32, 33
- bias, 47, 86
- bliss point, 133
- Boeing, 10–11, 104, 106
- boldface, 155
- Bowne-Anderson, Hugo, 239
- box-and-whisker plots, 190
- Braess, Dietrich, 223
- Braess’s paradox, 223
- brainstorming, 97
- Bricklin, Dan, 11
- Brinton, Willard C., 22–24, 29, 32, 240–242, 254
- budgets, 159, 208
- Candela, Joaquin, 247
- captions, 139–140, 164
- Carlson Wagonlit Travel, 4, 14
- categories, 50
- Cerf, Moran, 225
- change perception, 51–52
- Charting Statistics (Spear), 23, 32
- chartjunk, 28
- chart making
- design principles for, 127–148
- as overlapping process, 113–114
- preparation for, 83–85, 109, 121
- process example, 108–113
- prototype phase of, 100–108, 111–113, 121
- sketching phase of, 91–99, 111, 121
- talking and listening phase of, 86–91, 109, 111, 121
- typology, 61–80
- charts
- before-and-after, 221
- alluvial, 207–208
- animated, 226–227
- bar, 40, 41, 95
- choosing type of, 82, 92–99
- complexity in, 41–43
- context for, 6–8, 10, 28, 82–83, 118, 120, 135, 141–142
- deconstruction/reconstruction, 225–226, 236
- effectiveness of, 28, 33
- elements of good, 5–8, 14–15
- expectations for, 10, 46–51, 210, 236
- explaining, 206–208, 235
- leave-behind, 211–213, 236
- line, 40, 95, 98
- number of variables in, 39–43, 57
- order of seeing, 36–39, 57
- persuasive, 148–163
- pie, 26, 28
- presentations and, 203–236
- quality of, 9
- reading, 207, 235
- reference, 208–210, 236
- stand out information on, 37–39, 57
- templates for, 253–254, 256
- types of, 92–95
- unit, 158–159
- use of color in, 45–50, 136–137, 146–147, 155–157, 164
- Chart Wizard, 26, 33, 243
- choropleths, 186
- Ciobanu, Catalin, 14–15
- clarity, 75, 133–138, 141–142, 164
- Cleveland, William S., 26, 27, 33, 52
- cognitive shortcuts, 47
- colocation, of team members, 253, 256
- color-coded maps, 186
- color plots, 52, 54
- colors, 45–46
- associations with, 47, 49–50
- conventions, 136–137
- for emphasis, 155, 156–157
- restrained use of, 146–147, 164
- color saturation, 50, 136–137
- Colson, Eric, 250, 253, 254
- Commercial and Political Atlas, The (Playfair), 20
- comparisons, 94, 180–186
- complexity, 41–43, 68
- compositions, 94
- computer science, 26, 33
- conceptual information, 62–64, 66–69, 79
- confirmatory visualizations, 24, 33, 64, 69–70
- conflict, 227–236
- connections, making, 43–46, 57–58
- consistency, 75
- of alignment, 130–131
- of placement and weighting, 129–130
- of structure, 128–131
- constructive criticism, 114–118
- context, 6–8, 10, 28, 82–83, 118, 120, 135, 141–142
- conventions, 46–51, 58, 136–137, 147, 164, 194
- conversations, 86–91, 109, 111
- correlation, 29, 33, 51–54, 58, 225
- Correll, Michael, 246
- cost-benefit analysis, 253
- courage for simplicity, 147–148
- Covid, 214–215
- coxcomb diagrams, 20, 32
- credibility, 55–56
- cross-brain correlation (CBC), 225
- cross-disciplinary teams, 241–256
- D3, 108
- data
- aggregate, 40–41
- individual, 39–40
- massive amounts of, 10, 30
- putting aside, during preparation phase, 84–85
- data analysis, 246
- data designers, 243
- data-driven information, 62–64, 69, 79
- data-ink ratio, 139
- data science, 243, 246
- data scientists, 238–241, 243
- data tables, 213
- data visualization (dataviz)
- antecedents of, 20–26
- as art form, 12, 27, 30
- changing behavior with, 149–150
- during Covid, 214–215
- craft of, 30–31
- critiquing others, 114–118, 121–122
- democratization of, 28, 33
- effectiveness of, 27–28, 31, 33, 126–127
- everyday, 74–76, 80
- future of, 258–260
- history of, 19–34
- last-mile problem for, 239–241, 254, 255
- necessity of, 4–5, 10–11
- order of seeing, 36–39, 57
- persuasive, 148–163
- presentations, 203–236
- purpose of, 62, 64–65, 79, 258
- refinement of, 125–165
- relevance of, 9–10
- research, 26–30
- rules, 8–10
- science of, 28–30
- simple approach to, 12–13
- skepticism about, 238–241
- sketching, 91–99, 111, 121
- team approach to, 237–256
- theory, 36
- tools, 6, 11, 34, 99, 240, 258–260
- trends, 10–11
- types of, 65–80, 92–95
- uses of, 2–4
- Data Visualization in Society (Kennedy), 29
- data wrangling, 245–246
- Datawrapper, 102
- Dawes, Robyn, 213
- DeBold, Tynan, 134, 136
- deception, 172–199
- declarative visualizations, 64–67, 79
- deconstruction/reconstruction, 223–225, 236
- de-emphasis, 159
- deLanghe, Bart, 104
- demarcations, 157–158
- design-driven visualizations, 27, 33
- design principles, 127
- clarity, 133–137, 138, 141–142, 164
- for persuasion, 149–163
- simplicity, 137–140, 143–148, 164
- structure and hierarchy, 128–132, 164
- design skills, 247–248
- design thinking, 68
- digital prototypes, 102–103
- distance, 168, 178, 198, 218
- distancetomars.com, 218–219
- distributions, 94
- donut, 53
- double y-axis, 180–186, 198
- economic persuasion strategy, 149
- effectiveness, 23–24, 28, 31–33, 126–127
- elements
- alignment of, 130–131, 164
- placement and weighting of, 129–130
- redundant, 139, 145–146
- removing unnecessary, 139, 145–146, 164
- supporting, 134
- unique, 134
- Elements of Graphing Data, The (Cleveland), 26
- emotions, 29, 30, 34, 54–55, 58
- empathy, 241, 250
- emphasis, 155–159, 165, 173, 176
- engagement tips, 213, 216–229, 236
- environmental persuasion strategy, 149
- equivocation, 173
- ethical considerations, 196, 199
- everyday dataviz, 74–76, 80
- exaggeration, 173, 176, 178–180
- Excel, 6, 26, 33, 243
- expectations, 10, 46–51, 210, 236
- expert partners, 103–104
- exploratory visualizations, 24, 33, 64–65, 67–69, 71, 79, 150
- expressiveness, principle of, 23, 32
- extraneous information, 91, 134, 164
- eye candy, 227
- eye travel, limited, 132–133, 164
- Gamliel, Eyal, 104–105
- geography, 9, 186–190
- gestalt psychology, 193, 199
- global pandemic, 214–215
- Goldsberry, Kirk, 133
- Good Charts Matrix, 10, 82
- Google Charts, 4
- Grammar of Graphics, The (Wilkinson), 26
- Graphic Methods for Presenting Facts (Brinton), 22–23, 32, 240
- graphic perception, 26, 33
- gray, 147, 164
- grid maps, 189
- grids, 130–131, 140
- idea generation, 67–69, 80
- idea illustration, 66–67, 79
- illustrative brainstorming, 97
- inconsistency, 222
- Industrial Revolution, 21
- Infogram, 102
- information
- adding, 161, 165, 173
- availability of salient, 152
- basic, documenting, 85
- conceptual, 62–64, 66–69, 79
- data-driven, 62–64, 69, 79
- extraneous, 91, 134, 164
- removing, 160, 165, 173
- shifting, 161–163, 165, 173
- infoviz, 27
- Ingraham, Christopher, 219–220
- interactivity, 258, 259
- internet, 26, 27, 33
- isolation, 159–160, 165, 173
- italics, 145, 155
- Jackson, Mark
- just noticeable difference (JND), 51
- labels, 132, 140, 143, 144, 164, 258
- Larrick, Richard, 104
- last-mile problem, 239–241, 254, 255
- Law of Prägnanz, 193–196, 199
- lead talent, 252–253, 256
- leave-behind charts, 211–213, 236
- Lebunetel, Vincent, 4, 14
- legends, 132, 164
- Lieff, Jon, 47
- linear thinking, 104
- line graphs, 40, 95, 98
- logic, 94
- lure procedure, 222–223, 236
- MacDonald, Graham, 254
- Mackinlay, Jock, 24, 33
- main idea
- adjusting reference points around, 160–163, 165, 173
- emphasizing, 152, 155–159, 165, 173, 176
- honing, 153–154, 165
- isolating, 159–160, 165, 173
- manipulation, 168–199
- maps, 94, 186–190, 198
- Martin, Steve J., 149–150
- math, 51
- McGill, Robert, 26, 27, 33, 52
- meaning making, 43–46, 57–58
- media, 77
- memorability, 28
- mental space, 83
- metaphors, 46–51, 58, 136, 163, 164
- Minard, Charles, 20, 21, 32
- model visualization, 71
- money, 159
- Montana-Manhattan problem, 186–187
- Morey, Daryl, 5
- motion, 24
- music, 36, 57, 127
- pacing, 37
- paired analysis, 104, 106–108
- paper prototypes, 102
- parallel coordinate, 53
- pauses, 205, 217, 219
- Pe’er, Eyal, 104–105
- perceptual fluency, 55
- persuasion, 27, 28
- art of, 148–149
- vs. manipulation, 168–199
- strategies for, 149–163, 165, 173
- physical space, 83
- pie charts, 26, 28
- pithiness, 193–196, 199
- Playfair, William, 20, 21, 32
- Plotly, 254
- pointers, 157
- Porter, Michael E., 141
- Power BI, 6
- Practical Charting Techniques (Spear), 23, 242
- preparation, 83–85, 109, 121
- presentations, 203–236
- creating tension during, 217–221, 236
- discussing ideas during, 207
- effective, 204
- engagement tips for, 213, 216–229, 236
- example, 229–235
- explaining the chart, 206–208, 235
- fear of simplicity in, 148
- leave-behind charts for, 211–213, 236
- reference charts, 236
- showing the chart, 204–205, 235
- storytelling, 213, 216, 227–235, 236
- tips for, 204–213, 235–236
- turning off charts, 211, 236
- using reference charts, 208–210
- principle of effectiveness, 23–24, 32
- principle of expressiveness, 23, 32
- probability, 190–193
- project management, 245
- project mapping, 251–252
- proportions, 92, 95, 129, 142
- prototypes, 100–108, 111–113, 121
- Puntoni, Stefano, 104
- pyramid search, 66–67
- radar, 53
- reading, compared with seeing, 36–37
- reconstruction, 223–225, 236
- redundancy, 139, 145–146
- reference charts, 208–210, 236
- reference points
- adding, 161, 165, 173
- removing, 160, 165, 173
- shifting, 161–163, 165, 173
- relative simplicity, 138
- Rensink, Ronald, 29, 33
- resolution, 227–235, 236
- reveal techniques, 219–225
- revisualization, 71, 115
- risk, 159
- scale, 236
- scatter plots, 43, 51–52, 53, 95
- secondary y-axis, 180–186, 198
- self-critique, 115, 118, 122
- Sémiologie Graphique (Bertin), 23–24, 32
- sensory perception, 51–52
- setup, 227–235, 236
- silence, 204–205, 217
- simplicity, 75, 137–140, 143–148, 164
- sketches, 91–99, 111, 121
- skills, 77
- slide quotas, 225
- slope graphs, 53
- social media, 34
- social persuasion strategy, 149
- software, 159–160, 254, 258–260
- source line, 129, 140, 164
- space allocation, 129–130
- Sparks, David, 71
- spatial relationships, 52
- Spear, Mary Eleanor, 23, 29, 32, 242, 243
- spider graphs, 23, 92, 209, 212
- sports visualization, 2, 4–5, 24–25
- stacked area, 53
- stacked bar, 53
- stacked line, 53
- stakeholders, 239–240, 252, 256
- statistical values, 51–54, 58
- statistician’s curse, 239
- statistics, 158
- Stitch Fix, 250, 253
- story structure, 227–236
- storytelling, 213, 216, 225, 227–235, 236, 248, 259
- strip plots, 52, 54
- structure, 128–132, 164
- Style: Toward Clarity and Grace (Williams), 8, 126
- subject expertise, 246–247
- subtitles, 129, 131, 135, 140, 164
- support talent, 252–253, 256
- Tableau, 6, 108, 240, 254
- tables, 20, 143–144, 213
- Takata, 177
- talent dashboard, 251
- talents
- defining, 245–248, 255
- exposing team members to others’, 249–251, 255
- portfolio of necessary, 248–249, 255
- structuring projects around, 251–252, 256
- team prototyping, 102, 103–104, 106–108
- teamwork, 237–256
- technology, democratization of, 11
- templates, 253–254, 256
- tension, creating, 217–221, 236
- text size, 145
- think time, 205
- 3-D modeling
- time, 75, 236, 253–254
- titles, 129, 131, 135, 139–140, 145, 164
- toggles, 258
- tools, 99
- for digital prototyping, 102
- visualization, 6, 11, 34, 240, 258–260
- top-down demand, 239–240
- trends, 10–11
- exaggerating, 178–180
- Trinquart, Ludovic, 48
- truncated y-axis, 176, 178–180, 196, 197–198
- truth, blurring the, 172–177
- Tufte, Edward, 6, 24, 26, 27, 28, 33, 139
- Tukey, John, 24, 33
- 2 x 2 matrix, 65–66, 76–78, 80
- variables
- comparisons between, 180–186
- multiple, 29, 39–43, 57
- virtual spaces, for teamwork, 253
- virtuous chaos, 48–49
- vision, 205, 213
- visual communication, persuasive, 148–163
- visual confirmation, 69–70, 80
- visual critique, 114–118, 121–122
- visual data
- processing, 29, 36–56, 204–205
- uses of, 2–3
- visual discovery, 69–71, 72–74, 80, 212–213
- Visual Display of Quantitative Information, The (Tufte), 26, 33
- visual emphasis, 155–159
- visual exploration, 70, 71, 74, 80, 164
- visual field, 129, 131, 140
- visual fluency, 12
- visual grammar, 26
- visualization. See data visualization (dataviz)
- visualization literacy, measurement of, 29
- visual literacy, 34
- visual literacy curriculum (VLC), 4–5
- visual perception
- science of, 35–58
- theory, 36, 51–52, 57
- visual processing, 204–205
- visual storytelling, 225, 227–236
- visual thinking
- need for, 4–5, 10–11
- simple approach to, 12–13
- visual variables, 23, 24, 32
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