http://andculture.com/lab/designing-with-data A presentation explaining the importance of visualizations. I begin by reviewing some general theories about translating data into visuals, and then dive deeper into some specifics for using qualitative and quantitative information to tell your story. Finally I close by discussing some more technical details that everyone making visualizations should be aware of. It was geared towards an internal audience that has varying levels of technical understanding regarding the artistic, psychological, and narrative principles that inform well made visualizations and infographics.
- 1. Welcome to the presentation on Designing with Data. I hope youre excited to learn.Dominic Prestifilippo | andCulture | Design Methods Training | December 4, 2013
2. AGENDA Intro General Theories Quantitative Qualitative Details Critique 3. introduction People are visual learners Visualizations help everyone 4. introduction 80% of the information we take in is provided by our eyesight.People are visual learners.http://www.vision1to1.com/EN/HomePage.asp?BGColor=1&Category=6&Article=122 5. IntroductionVisualizations help everyone. 1. Making them provides further insight into the information 2. Visualizations invite comments and inspired discussion 3. Enable presentations that arent reliant on scripts or memorizationDan Roam, Back of the Napkin, pg 11 6. General Theories Storytelling Levels of Information Layer Information Proportions Sanity Check 7. General Theories | StorytellingTell a story. Provide context. Dont let data lie. have intent. 8. General Theories | Storytelling Tell a story. Have a point to make when creating an infographic and let that guide your decisions.http://visual.ly/most-popular-baby-names-girls 9. General Theories | Storytelling Tell a story. Have a point to make when creating an infographic and let that guide your decisions. My interpretation is, anyone with these names should hope they have interesting middle names. Is that the intent?http://visual.ly/most-popular-baby-names-girls 10. General Theories | Storytelling provide context. 380,000Number Of Locations WorldwideInformation without context is un-relatable. People dont know what it means or what to do with it.Western Unionhttp://issuu.com/dpresto/docs/remas_book 11. General Theories | Storytelling provide context.Sure it seemed like a lot before, but you may have also thought there was a lot of these other locations. This helps highlight the differences in perception of a lot.380,000Number Of Locations WorldwideInformation without context is un-relatable. People dont know what it means or what to do with it.31,000 16,700 8,500 Wal-MartStarbucksMcDonaldsWestern Unionhttp://issuu.com/dpresto/docs/remas_book 12. General Theories | Storytelling Dont let Data Lie. Percentages hide absolute values, skewing real scale.http://visual.ly/most-popular-content-management-systems-2013 13. General Theories | Storytelling Dont let Data Lie. Percentages hide absolute values, skewing real scale.Earlier in the graphic, were told Wordpress has 50.07% of the CMS market while Joomla only has 6.44%http://visual.ly/most-popular-content-management-systems-2013 14. General Theories | Storytelling have intent. Treat each decision as if it is crucial to the entire piece, because it is.http://visual.ly/knife-skills 15. General Theories | Storytelling have intent. Treat each decision as if it is crucial to the entire piece, because it is.I assume the decision to illustrate this as a sketch is to make something potentially scary and dangerous seem more approachable.http://visual.ly/knife-skills 16. General Theories | levels of infoBroad Points. Visible from 4 or moreVery Specific Details. visible from less than 1 17. General Theories | levels of info 4 feet12 incheshttp://visual.ly/how-startup-funding-works 18. General Theories | Layer InformationAverage wait timesJuxtaposing relevant data can produce even more interesting results, highlighting potential relationships and making both data sets more valuable.http://visual.ly/waiting-time-week 19. General Theories | Layer InformationAverage wait times per day is much more interestinghttp://visual.ly/waiting-time-week 20. General Theories | ProportionsThe Golden Ratio.The Fibonacci Sequence. 21. General Theories | Proportions The Golden Ratio. a/b = (a+b)/a 1.618033988abSample Pattern. 22. General Theories | Proportions The fibonacci sequence. 1 0+1=1 1+1=2 1+2=3 2+3=5 3+5=8 5+8=13 8+13=21 13+21=34 Sample Pattern. 23. General Theories | Sanity Check Is this important? Does this provide value? Does this make sense? Can this be done better? Does this help convey my message? 24. Quantitative Graph Types Statistics 25. Graph Types | Basic Bar Charts whiskersbar chart bar chart Bar Chart.The biggest benefit of bar charts is that different tems of data can easily be compared visually. whiskerswhiskershistogramhistogramStacked Bar Chart.histogram histogram.Stacked bar charts describe totals while allowing a degree of internal breakdown of the data.in a histogram it is important to retain and display the empty space. It contributes to the picture of the data as a whole.stacked bar chart stacked bar chartcandlestickcandlestickBrian Suda, A Practical Guide to Designing with Data, pg 114, 119, 120 26. Graph Types | Advanced Bar Charts bar chartwhiskers Whiskers.bar chartwhiskerswhisker is a small vertical line representing plus or minus two per cent from the value, with some horizontal histogram histogram lines to make the ends easier to see and measure.stacked bar chartcandlestickstacked bar chartcandlestick Candlestick chart.The whiskers, or wicks, that extend up and down do not measure margin of error, but the maximum and minimum where the bar represents the starting and finishing points.Brian Suda, A Practical Guide to Designing with Data, pg 121, 122 27. Graph Types | Pie Chart a pie chart can only represent relative amounts. The most effective pie charts comprise only two items, such as the percentage of male or female customers. The total value of the information must add up to one hundred per centUnknownFemaleMaleBrian Suda, A Practical Guide to Designing with Data, pg 132 28. Graph Types | Othersline graph.scatter plot.Line graphs work best when the data is continuous.Scatter plots are a useful tool to reveal relationships between any amount of independent values. The data points are placed in a grid in an attempt to build a larger picture.One of most common variables used in line graphs is timeBrian Suda, A Practical Guide to Designing with Data, pg 111, 161 29. Statistics | Average(()= M#of elementsof elements in the series # in the series)= M=M=M=M=MMEan.MEdian.Mode.We add together all of our test results and then divide it by the sum of the total number of marks there are.The Median is the middle value in your list.The mode in a list of numbers refers to the list of numbers that occur most frequently.http://math.about.com/od/statistics/a/MeanMedian.htm 30. qualitative Statements Relationships 31. Statements | Bold StatementsMake Bold Statements 32. Statements | HighlightingUse this to highlight a piece of a quote you would like cited.http://www.plantbasedpeople.com/misc.php?do=bbcode 33. Statements | Iconography Include relevant iconography to help with wayfinding and make the written content more memorablehttp://pictos.cc/ 34. Relationships | Mind MapSub-idea 1a2 b-ide Sua de IIdea 3It is an unstructured visual outline that allows people to move through the related content in any order they choose. Connected information logically as its produced so that train-of-thoughts and conversations can be easily documented by topic.a1 ide ub S Sub -id ea 21Mind MapIdea2a1 de -i ub S Sub-idea 2Su bid ea3 35. Relationships | Affinity Map Using proximity and position to indicate relationships between statements. These clusters develop organically depending on the content under review. 36. Relationships | Flow Charts Flow charts are a very detailed, standardized way of mapping processes.StartactionDecisionDecisionactionStop 37. Details Data to Pixel Ratio Chart Junk Resolution Color Legends 38. Details | Data to Pixel Ratio the amount of ink representing the data divided by the total ink on the graph Dont be confused; the dataink ratio is not advocating the use of as little ink as possible, but only as much ink as needed to convey the data10 8 6 4 2 246810Brian Suda, A Practical Guide to Designing with Data, pg 25, 27 39. Details | Chart Junk if you remove something from the chart and it doesnt change the meaning, its chart junk Brian Suda, A Practical Guide to Designing with Data, pg 25, 27 40. Details | Resolution DPI Dots per InchFor Print Media. It is preferable that documents are at least 300dpi.For Digital Media. It is preferable that documents are at least 72dpi. 41. Details | Color Color can do a lot to help clarify information on a chart. However, mis-use and it will only add to the confusion. Be mindful of how you use color. It can easily be overdone. Try starting with black and white, then adding color later. 42. Details | Legends As nice as it can be to have a very clean visualization or chart, if it doesnt convey the necessary information it is useless. Make sure, if you do use distinctions such as color, shape, size, etc. to differentiate data, make sure it is labeled and clear.10 8 6 4 2 246810 43. Further References A Practical Guide to Designing with Data by Brian Suda The Back of the Napkin by Dan Roam The Visual Display of Quantitative Information by Edward Tufte Envisioning Information by Edward Tufte Visual Explanations by Edward Tufte Visual and Statistical Thinking: Displays of Evidence for Making Decisions by Eward Tufte 44. AGENDA Intro General Theories Quantitative Qualitative Details Critique 45. Thank you for learning more about Designing with Data. Do you have any questions?Dominic Prestifilippo | andCulture | Design Methods Training | December 4, 2013 46. Critique http://visual.ly/