James Davenport NerdNite 2013

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The document discusses how data visualization and analysis can reveal beauty and insights. It provides examples of data visualizations that resemble artworks or reveal interesting patterns about topics like gender breakdown of White House visitors, laptop battery usage over time, and best-selling book covers from 2000-2011. The author argues that data has an obvious visual appeal, can make people think and reflect, and seems more objective, which is driving increased interest in analyzing and visualizing data.

Technologie Formation

James Davenport
There’s Beauty in Data
An excuse to talk about some
fun data visualizations

. com
Data, Visualization, Science, Astronomy,
Asking (sometimes stupid) questions

What is Data?
Datum:
A piece of information, fact, quantity, statistic,
a premise from which to drawn an assumption

Use of Data Graphics in
Journalism is Rising

Data Software & Skills
Becoming More Available

Data Scientist: Sexiest Job of the 21st Century?

Maybe not...
Data Scientist: Sexiest Job of the 21st Century?

Data impacts your
everyday life!
• newspapers, maps, phones, groceries, prices
• traffic flow, weather, airline flights
• elections, war, funding, NSA
• ABV of your drink

Coffee:!
Always !
within a !
2 minute!
walk!
2 min !
1 min !
5!

Data Visualization:
Important and Cool
• Not all data science is visualization
• Enables unique insight in to data (especially big data)

AA BB CC DD EE FF GG HH II JJ KK LL MM NN OO
11 98 998 9 7 78 0 0 8 987676 9 7
7 6 87 87 96 85 85 86 595 96 598 75 986597
64 76 5976597658 76 97 6 6 76 9 67 5 5 9
568697568 9 9 96 85 987 59 7 6 5 9 9 5
9 6 9 9 6E+0576 875 98 7 687676 7 987
98 59 65 76 9 87 8 7 8 70 785 87 98 7
98 75 9 74 53 645226 54 8 9 0 84 52 7 5
9 0 1 6 8 9 9 675 3 68 9 0 -1 86
75 54 24 45 56 76 78 80 89 87 75 45 34 24 4
56 r 34 46 w5 56 78 990 90 78 67563 3 23
3 45 56 765 78 879 89 89 98 67 564534 23 3
Too Much to Understand!

0
25
50
75
100

AA BB CC DD
Reduction/comparison enables insight

DataArt
4 hours using Eclipse,
traced with IOGraph
“14 Billions” (2010)
by Tomás Saraceno

Art
“14 Billions” (2010)
by Tomás Saraceno

Data
4 hours using Eclipse,
traced with IOGraph

Ellsworth Kelly
Data Art
James Davenport (me!)

2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2005
2006
2007
2008
2009
2004
2003

The Average Top-10 Best-Selling Book Cover
From 2000-2011

Data
Analysis
Art Science
Beauty
Reflection
Wonder
Truth
Why I think There’s Beauty in Data

Female
51.8%
Male
48.2%
Gender of White House Visitors since 2009
Ugly graph
Cool Result

Text
“Cece You’re It” by Peter G. Adamczyk

Days
BatteryCapacity(%)
My laptop battery, recorded every 1-minute
148,000 rows

Days
TimeofDay
Inspired by Stephen Wolfram
Sleep
(usually)
Dinner
Summer
Internship

• Data makes us think, reflect, contemplate
• Obvious visual appeal
• Data seems more honest/objective
• These effects are driving the growing
hunger for data!
Why I think There’s Beauty in Data
Data
Analysis
Art Science

Days
TimeofDay
@jradavenport ifweassume.com
/There’s Beauty in Data
stay nerdy!
Thanks for
listening...

hey girl...in case you’ve been
waiting to make this
joke all night
@jradavenport
ifweassume.com

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STA-O Discussion Question Four - Statistics.pdf Discussion Question Four – Statistics For this week’s discussion read “Imagine a Pie Chart Stomping on an Infographic Forever” by Eronarn (below). • Discuss each of the visualizations/infographs. • Talk about why each infograph (A-M) is ineffective, and what changes could be made to better represent the data visually. • Go through the information learned in this article and how you can apply it to your future in design. Note: Images are linked for a clearer view, and certain portions have been omitted for brevity’s sake. Your submission is due by Friday at 11:59 p.m EST. Reference the discussion-grading rubric to understand the expectations for your posts. Use specific examples, find other sources of information (cite any sources you use), and tell a story. Be as detailed as possible. All discussion posts are expected to be at least 250 words long. Imagine A Pie Chart Stomping On An Infographic Forever By Eronarn May 10th, 2010 http://www.smashingmagazine.com/2010/05/10/imagine-a-pie-chart-stomping-on-an-infographic-forever/ A certain category of design gaffes can be boiled down to violations of audience expectations. Websites that don’t work in Internet Explorer are a heck of a nasty surprise for users who, bless their souls, want the same Internet experience as everyone else. Websites that prevent copying, whether through careless text- as-image conversions or those wretched copyright pop-ups from the turn of the century, cripple a feature that works nearly everywhere else on the Internet. Avoiding this category of blunders is crucial to good design, which is why I am upset that one particular pitfall has been overlooked with extreme frequency. According to statlit.org, statistical literacy is the ability to read and interpret summary statistics in the everyday media: in graphs, tables, statements, surveys and studies. Statistical literacy is needed by data consumers. The importance of statistical literacy in the Internet age is clear, but the concept is not exclusive to designers. I’d like to focus on it because designers must consider it in a way that most people do not have to: statistical literacy is more than learning the laws of statistics; it is about representations that the human mind can understand and remember (source: Psychological Science in the Public Interest). (A) Can you notice what’s wrong with this infographics? You will find a detailed answer below, in the showcase of bad infographics. As a designer, you get to choose those representations. Most of the time this is a positive aspect. Visual representations allow you to quickly summarize a data set or make connections that might be difficult to perceive otherwise. Unfortunately, designers too often forget that data exists for more than entertainment or aesthetics. If you design a visualization before correctly understanding the data on wh.

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What Is Good DataViz Design? Presented at the Big Design 2016 conference in Addison, TX. Good DataViz Design means going beyond the charting templates and designing visualizations that reveal insights and tell stories to your audience. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you must customize the design to make sure your audience quickly and easily understands your message. You need your own toolbox of applications and websites to create different visualizations and charts, and they will all benefit from these core principles of good dataviz design. Links from the presentation are all available here: http://www.coolinfographics.com/bigd16

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As head of JESS3's strategy and operations for the last five years, COO & co-founder Leslie Bradshaw shares her insights and observations around how data, content and workforce are impacting and leveraging one another. Leslie posits: Whether you are an agency, brand, educator or public sector organization, these trends will all play a part of how you organize, think and produce. Originally presented for RefreshDC's November meetup on 11/16/11.

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"Principles of Data Visualization" by Asst. Prof. Dr. Kian Jazayeri offers a deep dive into effective data representation techniques. The presentation begins by underlining the importance of data visualization in revealing true data insights, avoiding errors, and facilitating knowledge sharing. It challenges the viewer to think beyond basic charts, highlighting that effective visualization requires sophisticated skills to accurately convey complex information. The deck uses Anscombe's Quartet to illustrate the misleading nature of statistics without proper visual representation, showcasing how different data distributions can look when graphed, despite having identical statistical summaries. This example sets the stage for discussing the necessity of visual analysis to uncover the real story behind the data. Art appreciation parallels are drawn to emphasize the importance of visual aesthetics in data visualization. By comparing renowned artworks, the slides suggest that, like art, data visualization requires a developed sense of design and aesthetics to communicate effectively and make an impact. Edward Tufte's visualization principles are explored in depth, advocating for a high data-ink ratio, and warning against the lie factor—where the representation of data misleads more than it informs. The presentation also addresses chartjunk, encouraging the removal of unnecessary visual elements that do not add value to the data's understanding. Dr. Jazayeri emphasizes graphical integrity, advising against scale distortion and advocating for accurate, clear labeling to maintain the data's true proportion and context. The concept of aspect ratios is discussed, advising a balance to avoid visual misrepresentation of trends. Interactive elements within the slides engage viewers, prompting them to analyze different visualizations and understand how quickly and accurately data can be interpreted. This engagement highlights the "10-Second Rule," the idea that effective visualizations should allow quick and unambiguous data interpretation. Color usage in data visualization is another focal point, with explanations on how different colors and their intensities can significantly affect data interpretation. Special attention is given to designing for color blindness, ensuring inclusivity in data communication. Advanced topics include data maps, cartograms, scatter plots, and heatmaps, each discussed with their specific applications and potential for overplotting or misinterpretation. The presentation also critiques tabular data, suggesting improvements for clarity, comparison, and highlighting critical information. Renowned works, like Minard's depiction of Napoleon's Russian campaign and Marey’s train schedule, are dissected to demonstrate how effective visual storytelling can enhance the comprehension of complex data narratives.

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Talk I gave to the HTML5 User Group in Dallas in June 2017. Good data visualization design means going beyond the default charts and designing custom visualizations that reveal the insights and tell stories to your audience. Data visualizations are used in presentations, reports, websites, infographics and more. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you should customize the design to make sure your audience quickly and easily understands your message. Planning and designing a great infographic or data visualization is just half the battle. Next, you must publish, promote and share your infographics across your key communications channels—including your website, social media, blogs and mainstream media. This session will show you how it’s done by walking through how to optimize your infographics for SEO and social media, create an infographic landing page, execute an outreach strategy to influencers, and give you new ways to track and prove ROI for your infographics.

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I gave this talk at a conference for young scientists in New Zealand, "Running Hot": www.runninghot.org.nz. It was a great meeting. My slides are mostly images, so may not make too much sense. Abstract follows: Impressed with the telephone, Arthur Mee predicted in 1898 that if videoconferencing could be developed, ‘earth will be in truth a paradise.’ Since his time, rapid technological change, in particular in telecommunications, has transformed the scientific playing field in ways that while not entirely paradisical, certainly have profound implications for New Zealand scientists. The Internet has abolished distance, as Mee also predicted–a New Zealand scientist can participate as fully in online discussions as anyone else, and their blog can be every bit as influential. Exponential improvements in networks, computing, sensors, and data storage are also profoundly transforming the practice of science in many disciplines. But those seeking to leverage these advances become painfully familiar with the ‘dirty underbelly’ of exponentials: if you don’t constantly innovate, you can fall behind exponentially fast. Such considerations pose big challenges for the individual scientist and for institutions, for researchers and educators, and for research funders. Some of the old ways of researching and educating need to be preserved, others need to be replaced to take advantage of new methods. But what should we preserve? What should we seek to change?

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James Davenport NerdNite 2013

1. James Davenport There’s Beauty in Data

2. James Davenport There’s Beauty in Data An excuse to talk about some fun data visualizations

3. Hi, I’m Jim

4. . com Data, Visualization, Science, Astronomy, Asking (sometimes stupid) questions

5. What is Data? Datum: A piece of information, fact, quantity, statistic, a premise from which to drawn an assumption

6. Use of Data Graphics in Journalism is Rising

7. Info-graphics are very popular

8. Hans Rosling gapminder.com

10. Data Software & Skills Becoming More Available

11. Data Scientist: Sexiest Job of the 21st Century?

12. Maybe not... Data Scientist: Sexiest Job of the 21st Century?

13. Maybe not... Data Scientist: Sexiest Job of the 21st Century?

14. Data impacts your everyday life! • newspapers, maps, phones, groceries, prices • traffic flow, weather, airline flights • elections, war, funding, NSA • ABV of your drink

15. Coffee:! Always ! within a ! 2 minute! walk! 2 min ! 1 min ! 5!

16. United States of Starbucks

17. Furthest Point from a Starbucks

18.

19. Data Visualization: Important and Cool • Not all data science is visualization • Enables unique insight in to data (especially big data)

20. AA BB CC DD EE FF GG HH II JJ KK LL MM NN OO 11 98 998 9 7 78 0 0 8 987676 9 7 7 6 87 87 96 85 85 86 595 96 598 75 986597 64 76 5976597658 76 97 6 6 76 9 67 5 5 9 568697568 9 9 96 85 987 59 7 6 5 9 9 5 9 6 9 9 6E+0576 875 98 7 687676 7 987 98 59 65 76 9 87 8 7 8 70 785 87 98 7 98 75 9 74 53 645226 54 8 9 0 84 52 7 5 9 0 1 6 8 9 9 675 3 68 9 0 -1 86 75 54 24 45 56 76 78 80 89 87 75 45 34 24 4 56 r 34 46 w5 56 78 990 90 78 67563 3 23 3 45 56 765 78 879 89 89 98 67 564534 23 3 Too Much to Understand!

21. 0 25 50 75 100 AA BB CC DD Reduction/comparison enables insight

22.

23. Data: a form of pop art

24. Let’s play a game... Art or Data?

25.

26. DataArt 4 hours using Eclipse, traced with IOGraph “14 Billions” (2010) by Tomás Saraceno

27. Art “14 Billions” (2010) by Tomás Saraceno

28. Data 4 hours using Eclipse, traced with IOGraph

29.

30. Ellsworth KellyJaz Parkinson Data Art

31.

32. Ellsworth Kelly Data Art James Davenport (me!)

33. 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2005 2006 2007 2008 2009 2004 2003

34. The Average Top-10 Best-Selling Book Cover From 2000-2011

35.

36. The world as drawn by airports

37.

38. Maybe this is Data & Art

39. Data Analysis Art Science Beauty Reflection Wonder Truth Why I think There’s Beauty in Data

40. Female 51.8% Male 48.2% Gender of White House Visitors since 2009 Ugly graph Cool Result

41. Text “Cece You’re It” by Peter G. Adamczyk

42. “Capacity” by James Davenport (me!)

43. Days BatteryCapacity(%) My laptop battery, recorded every 1-minute 148,000 rows

44. Days TimeofDay Inspired by Stephen Wolfram Sleep (usually) Dinner Summer Internship

45. • Data makes us think, reflect, contemplate • Obvious visual appeal • Data seems more honest/objective • These effects are driving the growing hunger for data! Why I think There’s Beauty in Data Data Analysis Art Science

46. Days TimeofDay @jradavenport ifweassume.com /There’s Beauty in Data stay nerdy! Thanks for listening...

47. hey girl...in case you’ve been waiting to make this joke all night @jradavenport ifweassume.com

James Davenport NerdNite 2013

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