Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/
Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84
14. Visualization is data communicated visually
“with clarity, precision and efficiency” (Tufte)
Defined?
15. But it is more than that,
The role of visualization is to communicate
data meaning through stories
16. The goal of visualization is to aid our understanding of data
by leveraging the human visual system's highly-tuned
ability to see patterns, spot trends, and identify outliers.
Well-designed visual representations can replace cognitive
calculations with simple perceptual inferences and improve
comprehension, memory, and decision making.
By making data more accessible and appealing, visual
representations may also help engage more diverse
audiences in exploration and analysis.
The challenge is to create effective and engaging
visualizations that are appropriate to the data.
A Tour Through the Visualization Zoo. Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky.
17. The challenge is to create effective
and engaging visualizations that are
appropriate to the data.
A Tour Through the Visualization Zoo. Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky.
18. This is a.. ?
and don’t you forget it :)
This is a Graph This is a Chart
20. How do you move from data to visualization?
How do you determine the appropriate visualization
for your data?
How do you use visualizations to create meaning and
extract valuable insights?
And many questions..
25. The goal of visualization is to aid our understanding of data
by leveraging the human visual system's highly-tuned
ability to see patterns, spot trends, and identify outliers.
A Tour Through the Visualization Zoo. Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky.
26. How would you visualize proportion?
Pie Donut Nightingale Voronoi
Stacked area chart Stacked bar Treemap
27. 72% 68% 50% 47%
“Sneaker pickup”
videos
“First Impressions”
videos
Product “Review”
videos
“Haul” videos
Every decision counts; position, size and shape.
Growing genres of product reviews on youtube
https://www.thinkwithgoogle.com/articles/i-want-to-buy-moments.html
38. Stories are made of conceptually separable episodes
or sub-goals in a chain of actions that form the story’s plot.
Stories contain microstructures via the particular details of
an event and macro-structure via the relationship of those
events to one another in the plot
A Deeper Understanding of Sequence in Narrative Visualizsation. Hullman, Drucker, Riche…
39. Scroll through episodes / New York Times data driven stories
http://www.nytimes.com/interactive/2014/06/12/world/middleeast/the-iraq-isis-conflict-in-maps-photos-and-video.html
52. Silders to explore and see change
http://www.nytimes.com/interactive/2014/07/08/upshot/how-the-year-you-were-born-influences-your-politics.html?abt=0002&abg=0
55. Sometimes less is more
Think of layering and separation of the data
visualization, reduce the noise and let the content shine
#4 Options
56. Focused view / Connect the world cup
http://www.nytimes.com/interactive/2014/06/20/sports/worldcup/how-world-cup-players-are-connected.html
57. Reduce the noise / What can you discover when you reduce the noise? Outliers, focused question and
answer….
58. Reduce the noise / What can you discover when you reduce the noise? Outliers, focused question and
answer….
59. Reduce the noise / What can you discover when you reduce the noise? Outliers, focused question and
answer….
60. Divide the story to relevant portions.
A complex graph may not be enough. Look at the micro
vs. macro stories and how they help extract insights.
Try different metrics
#5 Insights
61. Small multiples / A visual guide to the crisis in Iraq and Syria.
http://www.nytimes.com/interactive/2014/06/12/world/middleeast/the-iraq-isis-conflict-in-maps-photos-and-video.html
67. (S. Carmi,S. Havlin, S. Kirkpatrick, Y. Shavitt, E. Shir.
A model of Internet topology using k-shell decomposition.
PNAS 104 (27), pp. 11150- 11154, 2007)
Internet as a Graph