How to be a Data Visualization Star (Julie Steele and Noah Iliinsky)

Notes & Tweets

• 10:03:15

  Julie Steele (O’Reilly) & Noah Iliinsky (Author) talked about How to be a Data Visualization Star

• 10:04:30

  Anscombe’s Quartet on Wikipedia

• 10:06:08

  Hans Rosling

• 10:06:13

  Image reference

• 10:07:14

  Tale of 100

• 10:07:15

  Have enjoyed some big and many casually conveyed insights into data visualization at #dotastro – now even more from @noahi & @jsteeleeditor

  
• 10:07:24

  Image reference

• 10:07:29

  Kicking off the third and final day of #dotastro is @jsteeleeditor and @noahi talking about data visualisation. yfrog.com/oclvjcyfj

  
• 10:07:37

  .@jsteeleeditor and @noahi talking about data visualization #dotastro

  
• 10:09:42

  Image reference

• 10:09:57

  Failed missions to Mars infographic

• 10:10:19

  Your New Health Care System Chart

• 10:10:21

  At this point we temporarily lost the main audio feed for a couple of minutes and have had to use a source recorded from the back of the planetarium. Apologies.

• 10:14:14

  good :: intentional choices in data viz — data, designer, reader: "it’s not about YOU" (the scientist) #dotastro

  
• 10:16:42

  Market Share infograph

• 10:18:39

  First instance of a Facebook-style "meh" button at #dotastro #Iwantthis

  
• 10:18:56

  I want a "meh" button on Facebook #dotastro

  
• 10:19:35

  Jessica Hagy

• 10:19:41

  Meh. bit.ly/M2d4yY #dotastro

  
• 10:20:11

  @jsteeleeditor and @noahi discuss the power of "meh" on data visualization. #dotastro

  
• 10:20:34

  #dotastro write out data viz goals that are actually quantifiable!

  
• 10:20:36

  .@noahi & @jsteeleeditor: Forget "show your work"; reduce the noise to best convey a point. Don’t confuse difficult with important #dotastro

  
• 10:20:53

  RT @NoisyAstronomer: Meh. bit.ly/M2d4yY #dotastro

  
• 10:20:55

  Describe specific goals and desired knowledge before choosing structure for conveying it –> backwards design! #dotastro #dataviz

  
• 10:21:02

  "data fetishization" > great expression. often counter-productive #dotastro

  
• 10:21:59

  @jsteeleeditor If you are doing something cute [with your data], you are doing it wrong. #dotastro

  
• 10:22:15

  Properties and Best Uses of Visual Encodings

• 10:22:20

  "if you’re doing something to your data just to be cute, you’re (usually) doing it wrong" @jsteeleeditor + @noahi #dotastro

  
• 10:22:38

  *don’t* make parodies of periodic table (@jsteeleeditor and @noahi) #dotastro

  
• 10:22:42

  Great table of visual encodings from @noahi #dotastro complexdiagrams.com/properties

  
• 10:22:45

  ComplexDiagrams.com/properties – properties and best uses of visual encodings #dotastro

  
• 10:23:01

  *don’t* make parodies of periodic table (@jsteeleeditor and @noahi) #dotastro

  
• 10:24:17

  Hipmunk.com

• 10:25:07

  #dotastro As @astrobiased says @jsteeleeditor and @noahi discuss power of "meh" on re:visualization using gr8 button weknowmemes.com/wp-content/uploads/2012/02/meh-facebook-button.jpg

  
• 10:26:08

  Use your visual encodings wisely #dotastro twitter.com/GeertMcTwit/status/222970010577027072/photo/1

  
• 10:26:23

  when visualizing your data, the positions of the plot components are *very* important! #dotastro

  
• 10:28:47

  Europe Altitudes Map

• 10:28:50

  @jsteeleeditor & @noahi Data visualisation in 6 words: Position is Everything, Color is Difficult. #dotastro

  
• 10:30:46

  +1 to @maltesk‘s suggestion for next #dotastro @dotastronomy :: activate your remote audience (jealous ones like us, @corrie206, @jessykate)

  
• 10:31:15

  Choropleth Map

• 10:32:22

  NASA/JPL-Caltech/UCLA image of data from Spitzer

• 10:39:54

  .@jsteeleeditor and @noahi are layering evidence to emphasize their fundamental point: make intentional (and good) choices. #dotastro

  
• 10:40:57

  #dotastro @jsteeleeditor the word is "words" — yet their layering is hard in data viz.

  
• 10:45:42

  @augustmuench I thought the discussion of how to clearly convey uncertainty & noise in the viz unconference session was helpful. #dotastro

  
• 10:45:55

  d3

• 10:46:09

  Processing

• 10:46:23

  R

• 10:46:38

  Tableau

• 10:46:55

  colorbrewer

• 10:46:56

  colorlab

• 10:46:57

  ChartChooser

• 10:46:58

  Extreme Presentation

• 10:47:45

  Beautiful Visualization – Looking at Data through the Eyes of Experts

• 10:47:55

  Designing Data Visualizations – Intentional Communication from Data to Display

• 10:47:55

  If at all accurate then this simulation of how the world looks to the colour-blind is shocking : colarlab.wickline.org/colorblind/colorlab/ #dotastro

  
• 10:48:17

  @noahi at #dotastro "Excel is not a bad program [for visualization], just ALL of the defaults are wrong"

  
• 10:48:45

  Really great talk on visualizations by @NoahI @JSteeleEditor. Really useful and thought provoking….#dotastro.

  
• 10:50:48

  Great point – "Beauty in visualizations useful for drawing people in" #dotastro

  
• 10:50:59

  I want to go back to every plot I’ve ever made and prettyfying them #dotastro

  
• 10:51:17

  .@carolune points out a bad graphic can be useful for outreach *if* you teach the kids to think critically about what’s wrong #dotastro

  
• 10:52:25

  interesting discussion on data visualization by @jsteeleeditor and @noahi. their book, with more details: oreil.ly/nPbifm #dotastro

  
• 11:11:26

  science betterizer is not a word. Or should it be? improver? visual multiplier? #dotastro #imjustreadingtweetsandblogsonthis

  
• 11:25:03

  The data viz talk by @jsteeleeditor & @noahi mentioned colour blindness. Color Oracle bit.ly/w98vlV (Mac) is a useful tool. #dotastro