1. INFORMATION VISUALIZATION / EXPLORATORY DATA ANALYSIS Prof. Marti A. Hearst, UC Berkeley Bay Area PHUSE Single Day Event, 9/26/2014

2. WHY INFOVIZ? Why not just statistics?

3. INSIGH T

4. Same Formula; Different Structure http://www.cliffsnotes.com/sciences/chemistry/chemistry/organic-compounds/structural-formulas

7. BRILLIANT INTERACTION NYTimes: Paths to the White House infoviz students: TaleSpin Airline Accidents

8. http://elections.nytimes.com/2012/results/president/scenarios

10. http://people.ischool.berkeley.edu/~jannah/Planes/intro.html TaleSpin Jannah, Agrawal, Siddiqui

11. BART Ridership Chen, Goel, Perry

12. BRILLIANT COMPRESSION NYTimes: Front Row to Fashion Week

13. http://www.nytimes.com/newsgraphics/2013/09/13/fashion-week-editors-picks/

14. NARRATIVE + EXPLORATION Infoviz class: Cal v. Stanford Drought and Wildfires in California

16. Reed, Swigert, & Malina

20. BIOSCIENCE IS RICH IN VISUALIZATIONS Find them at biosearch.berkeley.edu

21. Query on “miRNA” at biosearc.berkeley.edu

23. WHAT IS EXPLORATORY DATA ANALYSIS?

24. What is Exploratory Data Analysis? “looking at data to see what it seems to say” – Tukey the first step before confirmatory techniques getting to know the “lay of the land” detective work

25. Why do we do EDA? Optimize a function Create a narrative, tell a story Plan a strategy Monitor a situation Look for causal relationships Solve a crime

26. What do we do when we do EDA? Overviews Get to know the data: tendencies, trends Make discoveries Find anomolies / outliers / errors Formulate hypotheses Support / refute / confirm them

27. EDA Assignment Readings: Steve Few’s book Now You See It Steve Few on Exploratory Vistas Al Inselberg on Multidimensional Data Detective Polaris paper (foundations of Tableau) Short Tukey paper on EDA Tableau Videos Demonstrations of Tableau on a data set for something we did in class Practice Assignment Study EDA assignments by 2 other students Write paragraphs about each Instructor commented on these Redirected students who were not on the right path

28. EDA Assignment Assignment: Select data set Formulate hypotheses Explore those hypotheses; let the data determine next steps Verify or refute hypotheses; reformulate or formulate new ones Create dashboards summarizing the results for each.

29. EDA ASSIGNMENT Faye Ip on BART Strike

30. QUESTION #1 Do union workers make more money than non-union workers? (Answer: no)

32. QUESTION #2 Is BART management-heavy? (Answer: no)

34. QUESTION #3 Do union workers earn a lot of overtime pay? (Answer: no, except for transportation operations, but they have low base pay. However … there are some interesting outliers amount the non-union workers...)

36. QUESTION #4 What is going on in the Finance Department? (Answer … something suspicious! Roberta Collier base pay $33,971, other pay $289,534)

39. EDA TOOL COMPARISON Saraiya, North, & Duca. "An evaluation of microarray visualization tools for biological insight.Infoviz 2004.