design and support recommendations from data visualization research
DESCRIPTION
A series of chart makeovers based on visualization research.TRANSCRIPT
![Page 1: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/1.jpg)
Design and Support Recommendations from Data Visualization Research
July 17, 2014 Science Boot Camp Southeast Raleigh, NC #BootCampSE14
Angela Zoss, @duke_vis Data Visualization Coordinator Duke University Libraries
![Page 2: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/2.jpg)
Using research to inform design
Expert suggestions/heuristics
http://bit.ly/tufte_vdqi http://bit.ly/bertin_sg http://bit.ly/few_smn
![Page 3: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/3.jpg)
Using research to inform design
Empirical verification and elaboration
http://bit.ly/cleveland_egd http://bit.ly/ware_iv http://bit.ly/wilk_gg
![Page 4: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/4.jpg)
Demo data for today
http://bit.ly/bcse_zoss
![Page 5: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/5.jpg)
POSITION IS EVERYTHING. @moritz_stefaner
![Page 6: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/6.jpg)
The research shows…
• Rotated text is harder to read
Byrne, M. D. (2002). Reading vertical text: Rotated vs. marquee. In Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting; Santa Monica, CA. Human Factors and Ergonomics Society: 1633–1635. http://dx.doi.org/10.1177/154193120204601722
![Page 7: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/7.jpg)
The research shows…
• Rotated text is harder to read
Byrne, M. D. (2002). Reading vertical text: Rotated vs. marquee. In Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting; Santa Monica, CA. Human Factors and Ergonomics Society: 1633–1635. http://dx.doi.org/10.1177/154193120204601722
![Page 8: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/8.jpg)
Text orientation
State population from 2010 census http://en.wikipedia.org/wiki/US_states_by_population
Easy in Excel
![Page 9: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/9.jpg)
Text orientation
State population from 2010 census http://en.wikipedia.org/wiki/US_states_by_population
Easy in Excel
![Page 10: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/10.jpg)
Text orientation
Easy in Excel
![Page 11: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/11.jpg)
The research shows…
• Rotated text is harder to read • People are very good at reading bar length,
x/y position
Vernier acuity: The ability to see if two line segments are collinear. Accurate to about 10 seconds of arc or 1/10 of a pixel.
Ware, C. (2013). Information visualization: perception for design, third edition. Waltham, MA: Morgan Kaufmann Publishers. http://www.sciencedirect.com/science/book/9780123814647
![Page 12: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/12.jpg)
Perception of length/area
Easy in Excel
![Page 13: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/13.jpg)
Perception of length/area
Easy in Excel
![Page 14: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/14.jpg)
Perception of length/area
Easy in Excel
![Page 15: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/15.jpg)
Perception of length/area
Advanced in Excel
http://peltiertech.com/Excel/Charts/DotPlot.html
![Page 16: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/16.jpg)
The research shows…
• Rotated text is harder to read • People are very good at reading bar length,
x/y position • But even our positional acuity is no match for
high data density
![Page 17: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/17.jpg)
Data density
State population vs. Number of seats in U.S. House http://en.wikipedia.org/wiki/US_states_by_population
Easy in Excel
![Page 18: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/18.jpg)
Data density
State population vs. Number of seats in U.S. House http://en.wikipedia.org/wiki/US_states_by_population
?
Easy in Excel
![Page 19: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/19.jpg)
Data density
Fill transparency at 100%
Easy in Excel
![Page 20: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/20.jpg)
Data density
Fill transparency at 50%
Easy in Excel
![Page 21: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/21.jpg)
Data density
Both axes converted to logarithmic scale
Easy in Excel
![Page 22: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/22.jpg)
Data density
Ranges edited, vertical axis switched to base 2
Easy in Excel
![Page 23: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/23.jpg)
Data density
Population mapped to horizontal axis, seats in house mapped to size, random “jitter” added as vertical axis values
Intermediate in Excel
![Page 24: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/24.jpg)
The research shows…
• Rotated text is harder to read • People are very good at
reading bar length, x/y position
• But even our positional acuity is no match for high data density
• People are not as good at differentiating angles, areas
Cleveland, W. S., & McGill, R. (1985). Graphical perception and graphical methods for analyzing scientific data. Science, 299(4716), 828-833. http://dx.doi.org/10.1126/science.229.4716.828
![Page 25: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/25.jpg)
Angles, wedges, circles People are bad at comparing areas of shapes or judging certain relationships. If precision is important or data values are very similar, use bars or scatter plots.
http://de.slideshare.net/vis4/making-data-visualizations-a-survival-guide/25
http://de.slideshare.net/vis4/making-data-visualizations-a-survival-guide/162
http://www.leancrew.com/all-this/2011/11/i-hate-stacked-area-charts/
![Page 26: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/26.jpg)
Visual math http://eagereyes.org/criticism/visual-math-wrong If the chart makes it hard to understand an important relationship between variables, do the extra calculation and visualize that as well.
http://bit.ly/SFeAwz http://bit.ly/PszKw0
![Page 27: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/27.jpg)
Avoid special effects
http://bit.ly/3dpiebad
![Page 28: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/28.jpg)
COLOR IS DIFFICULT. @moritz_stefaner
![Page 29: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/29.jpg)
The research shows…
• People have trouble differentiating between more than 5-7 hues
?
?
http://colorbrewer2.org/
Healey, C. G. (1996). Choosing effective colours for data visualization. In R. Yagel and G. M. Nielson (Eds.), Proceedings of the 7th conference on Visualization '96 (VIS '96), 263-270. http://dx.doi.org/10.1109/VISUAL.1996.568118
![Page 30: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/30.jpg)
Qualitative color classes
With categorical/qualitative variables (e.g, states, genders, political parties), use at most 5-7 hues.
States by population and house seats, colored by region Requires 4 separate data series
Intermediate in Excel
![Page 31: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/31.jpg)
The research shows…
• People have trouble differentiating between more than 5-7 hues
• People have trouble differentiating between more than 5-7 shades
http://colorbrewer2.org/
Gilmartin, P. and E. Shelton. (1990). Choropleth maps on high resolution CRTs: The effects of number of classes and hue on communication. Cartographica, 26(2), 40-52. http://dx.doi.org/10.3138/W836-5K13-1432-4480
![Page 32: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/32.jpg)
Ordered color classes
With classed/graduated variables (e.g., rating scores, age groups, any number that has been split into groups), use at most 5-7 shades.
States by population and house seats, colored in 4 x-axis value groups Requires 4 separate data series
Intermediate in Excel
![Page 33: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/33.jpg)
Continuous color
With continuous variables (e.g., population, rainfall, timestamp), the only option in Excel is conditional formatting of cells.
https://www.census.gov/hhes/migration/data/acs/state-to-state.html
Migrations between states, colored continuously Easy in Excel
![Page 34: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/34.jpg)
Continuous color
Depending on your data, a continues gradient might group too many elements into a small range of lightness. You can also transform the data (e.g., log) or create discrete classes for more control.
Migrations between states, colored in 4 classes Requires conditional formatting “classic” rules for value ranges
Intermediate in Excel
![Page 35: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/35.jpg)
The research shows…
• People have trouble differentiating between more than 5-7 hues
• People have trouble differentiating between more than 5-7 shades
• Rainbow color gradients are very problematic
![Page 36: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/36.jpg)
“Rainbow Color Map (Still) Considered Harmful”
Borland, D., & Taylor, R.M. (2007). Rainbow color map (still) considered harmful. IEEE Computer Graphics and Applications, 27(2), 14-17. http://dx.doi.org/10.1109/MCG.2007.323435
![Page 37: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/37.jpg)
Perceptual ordering. (a) We can easily place the gray paint chips in order based on perception, (b) but cannot do this with the colored chips.
Borland & Taylor (2007)
Confusing
![Page 38: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/38.jpg)
Spatial contrast sensitivity function.
We can see detail at much lower contrast in the (a) luminance-varying gray-scale image than with the (b) rainbow color map.
Borland & Taylor (2007)
Obscuring
![Page 39: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/39.jpg)
Four data sets visualized with
(a) rainbow, (b) gray-scale, (c) black-body radiation
Apparent sharp gradients in the data in (a) are revealed as rainbow color map artifacts...
The sharp gradient found at the center of the second data set... is not found in the corresponding image with the rainbow color map.
Borland & Taylor (2007)
Actively misleading
![Page 40: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/40.jpg)
Related: Salience Rainbows also cause salience problems; some colors in the inner part of the rainbow “pop out” more than colors at the extremes.
http://dx.doi.org/10.1038/nmeth.1762 http://mycarta.wordpress.com/2012/12/21/comparing-color-palettes/
![Page 41: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/41.jpg)
Instead of rainbows…
Solution: Use a single hue, varying luminance If you want color to show a numerical value, use a range that goes from white to a highly saturated color in one of the universal color categories.
http://shar.es/CfbSd
http://www.flickr.com/photos/sadrzy/4154089647/
![Page 42: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/42.jpg)
ColorBrewer Cynthia Brewer, PhD – Penn State
http://colorbrewer2.org/
![Page 43: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/43.jpg)
The research shows…
• People have trouble differentiating between more than 5-7 hues
• People have trouble differentiating between more than 5-7 shades
• Rainbow color gradients are very problematic • For highest contrast, limit colors and vary luminance
![Page 44: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/44.jpg)
Color versus position
Do you really need color at all?
Intermediate in Excel
![Page 45: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/45.jpg)
Color versus position
Do you really need color at all?
Intermediate in Excel
![Page 46: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/46.jpg)
Color versus position
Do you really need color at all?
Easy* in Excel
*Creating charts with manually-selected y values is easy and very useful. Adding labels, though, can be harder. Sometimes it’s easiest to add them manually.
![Page 47: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/47.jpg)
Visual contrast
If you use color sparingly, you can save it for contrast.
Intermediate in Excel
![Page 48: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/48.jpg)
Visual contrast
Contrast is important to direct attention and improve clarity. It can also shield against projection/printing issues or color interference effects.
http://shar.es/CWktB
![Page 49: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/49.jpg)
Times to use color
![Page 50: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/50.jpg)
Times to use color
• When position is insufficient (lines crossing)
as opposed to:
http://vis4.net/blog/posts/doing-the-line-charts-right/
![Page 51: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/51.jpg)
Times to use color
• When position is insufficient (lines crossing) • When it will aid pre-attentive processing
Count the 4s.
173658103837575063348181736401016254539319123938525616173943987139874619319586716628309897273164613984019358094285976205897629835921873589321759871059283198254781237598698127359812!
![Page 52: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/52.jpg)
Times to use color
• When position is insufficient (lines crossing) • When it will aid pre-attentive processing
173658103837575063348181736401016254539319123938525616173943987139874619319586716628309897273164613984019358094285976205897629835921873589321759871059283198254781237598698127359812!
Count the 4s.
![Page 53: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/53.jpg)
Times to use color
• When position is insufficient (lines crossing) • When it will aid pre-attentive processing • When it reinforces semantic content
Lin, S., Fortuna, J., et al. (2013). Selecting semantically-resonant colors for data visualization. In B. Preim, P. Rheingans, & H. Theisel, Proceeedings of Eurographics Conference on Visualization (EuroVis) 2013. http://idl.cs.washington.edu/papers/semantically-resonant-colors/
http://www.babynamewizard.com/voyager
![Page 54: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/54.jpg)
Times to use color
• When position is insufficient (lines crossing) • When it will aid pre-attentive processing • When it reinforces semantic content • When you want to encourage comparisons over
multiple figures
http://vallandingham.me/small_multiples_with_details.html
![Page 55: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/55.jpg)
MORE ABOUT CHARTS
![Page 56: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/56.jpg)
Data Visualization LibGuides
• Data visualization: http://guides.library.duke.edu/datavis
• Visualization types: http://guides.library.duke.edu/vis_types
• Top 10 dos and don’ts for charts and graphs: http://guides.library.duke.edu/topten
• Visual communication: http://guides.library.duke.edu/visualcomm
![Page 57: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/57.jpg)
Good Chart Makeover Examples The Why Axis chart remakes http://thewhyaxis.info/remakes/
Storytelling With Data visual makeovers: http://www.storytellingwithdata.com/search/label/Visual%20Makeover
![Page 58: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/58.jpg)
On the web
• Bad examples: WTF Viz, http://wtfviz.net/
• Good examples: Thumbs Up Viz, http://thumbsupviz.com/
• Ask for help: Help Me Viz, http://helpmeviz.com/
![Page 59: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/59.jpg)
CONDUCTING VISUALIZATION RESEARCH
![Page 60: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/60.jpg)
Types of Research
• techniques develop new visual metaphors
Speckmann, B., & Verbeek, K. (2010). Necklace maps. IEEE Transactions on Visualization and Computer Graphics, 16(6), 881-889. http://dx.doi.org/10.1109/TVCG.2010.180
![Page 61: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/61.jpg)
Types of Research
• techniques • systems
develop new software
Meyer, M., Munzner, T., & Pfister, H. (2009). MizBee: A multiscale synteny browser. IEEE Transactions on Visualization and Computer Graphics, 15(6), 897-904. http://dx.doi.org/10.1109/TVCG.2009.167
![Page 62: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/62.jpg)
Types of Research
• techniques • systems • design studies
study how a specific group or field uses visualization Goodwin, S., Dykes, J., et al. (2013). Creative user-
centered visualization design for energy analysts and modelers. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2516-2525. http://dx.doi.org/10.1109/TVCG.2013.145
![Page 63: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/63.jpg)
Types of Research
• techniques • systems • design studies • evaluations
study how humans generally interact with visualizations
Ziemkiewicz, C., & Kosara, R. (2010). Laws of attraction: From perceived forces to conceptual similarity. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1009-1016. http://dx.doi.org/10.1109/TVCG.2010.174
![Page 64: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/64.jpg)
Types of Research
• techniques • systems • design studies • evaluations • theories/models
develop a new theory of visualization
Jansen, Y., & Dragicevic, P. (2013). An interaction model for visualizations beyond the desktop. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2396-2405. http://dx.doi.org/10.1109/TVCG.2013.134
![Page 65: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/65.jpg)
QUESTIONS? SUGGESTIONS? [email protected] twitter.com/duke_vis
![Page 66: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/66.jpg)
BONUS: COLOR THEMES FOR POSTERS, INFOGRAPHICS, SLIDESHOWS, WEBSITES, ETC.
![Page 67: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/67.jpg)
Theme
• Pick two or three main colors that complement each other to add visual interest
• Maintain high visual contrast throughout • Do not use a background image
![Page 68: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/68.jpg)
![Page 69: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/69.jpg)
![Page 70: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/70.jpg)
![Page 71: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/71.jpg)
http://visual.ly/10-commandments-color-theory
![Page 72: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/72.jpg)
BONUS: DEVELOPMENT OF A VIS PROJECT
![Page 73: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/73.jpg)
http://bit.ly/pubmedvis
![Page 74: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/74.jpg)
Changes over time?
Heat map
![Page 75: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/75.jpg)
Changes over time?
Radial technique
![Page 76: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/76.jpg)
Changes over time?
Line chart of ranks
![Page 77: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/77.jpg)
Changes over time?
Stacked line
![Page 78: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/78.jpg)
Changes over time?
Streamgraph http://raw.densitydesign.org/
![Page 79: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/79.jpg)
![Page 80: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/80.jpg)
Correlations or flows
Alluvial diagram http://raw.densitydesign.org/
![Page 81: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/81.jpg)
Correlations or flows
![Page 82: Design and Support Recommendations from Data Visualization Research](https://reader033.vdocuments.site/reader033/viewer/2022051819/54c759f14a7959fa518b45f2/html5/thumbnails/82.jpg)