Data Visualization: A Quick Tour for Data Science Enthusiasts
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The document discusses the significance of data visualization in data science, asserting that visual displays enhance information communication and facilitate exploratory data analysis. It presents various projects, including analyses of Twitter data and the Cholera epidemic, demonstrating the application of data wrangling to extract insights. Additionally, it highlights the importance of visual storytelling in transforming raw data into valuable insights.
![log event a.k.a. “client event”
[Lee et al. 2012]](https://image.slidesharecdn.com/kristwds101datavisshared-150120114806-conversion-gate02/85/Data-Visualization-A-Quick-Tour-for-Data-Science-Enthusiasts-72-320.jpg)
![log event a.k.a. “client event”
client : page : section : component : element : action
web : home : timeline : tweet_box : button : tweet
1) User ID
2) Timestamp
3) Event name
4) Event detail
[Lee et al. 2012]](https://image.slidesharecdn.com/kristwds101datavisshared-150120114806-conversion-gate02/85/Data-Visualization-A-Quick-Tour-for-Data-Science-Enthusiasts-73-320.jpg)
Data Visualization: A Quick Tour for Data Science Enthusiasts
- 1. Krist Wongsuphasawat /@kristw visualizationdata A quick tour for data science enthusiasts
- 2. visualizationdata What is it about? What is it good for? How is it related to data science? Example projects …
- 3. 1. What is it about?
- 4. “A picture is worth more than a thousand words.” — ใครสักคนได้กล่าวไว้
- 6. Data Picture
- 8. Help audience consume a lot of information rapidly Data Visual display
- 9. 2. What is it good for?
- 11. data
- 13. location (lat,lon => x,y), quantity of troops (width), direction (color) time (x), temperature (y)
- 14. Example / Cholera epidemic
- 15. List of deceased patients ! Mr. Smith, who lived at 11 Sunny St. Miss White, who lived at 23 Cloudy Rd. Mr. Jones, who lived at 30 Rainy St. Mrs. Robinson, who lived at 34 Windy Rd. … data
- 16. John Snow
- 19. What is it good for? Storytelling Communicate known information Exploratory data analysis Explore data to reveal insights
- 20. More powerful Visualization = Visual display + Interaction
- 21. 3. How is it related to data science?
- 22. Turn data into valuable insights data product interesting stories
- 23. data wrangling output insights, products, stories exploratory data analysis report results raw data in-depth analysis
- 24. data wrangling output insights, products, stories exploratory data analysis report results in-depth analysis communication, storytelling raw data
- 26. 4.1 Ballon d’Or
- 29. FIFA released voting data
- 30. • 3 voters / country • National team captain • National team coach • Journalist (media) • Each voter select 3 players for 1st, 2nd and 3rd place Rules
- 32. data wrangling output insights, products, stories exploratory data analysis report results in-depth analysis communication, storytelling raw data
- 33. • Given data are tables in PDF. • Extract to csv • Format data to desired format. Data Wrangling
- 34. Demo / Ballon d’Or https://medium.com/@kristw/who-voted-for-who-diving-into-ballon-dor-voting-data-e09138ba9712
- 35. 4.2 Public-facing vis & New year 2013
- 39. Geo San Francisco Rebuild the world based on tweet volumes twitter.github.io/interactive/andes/
- 40. How are these phrases used in Tweets? Is there any pattern?
- 41. data wrangling output insights, products, stories exploratory data analysis report results in-depth analysis communication, storytelling raw data
- 43. Having all Tweets How people think I feel.
- 44. How people think I feel. How I really feel. Having all Tweets
- 45. • Too much data, want only relevant Tweets • contain “สวัสดีปีใหม่” • variations: หวัดดีปีใหม่, หวัดดีปีหม่ายยย • typos: หวัดตีปีใหม่ • Need to aggregate & reduce size • Long processing time (hours) Challenges
- 47. Hadoop Cluster Pig / Hive / Scalding (slow) Data Storage Tool Workflow
- 48. Hadoop Cluster Pig / Hive / Scalding (slow) Data Storage Tool Workflow
- 49. Hadoop Cluster Pig / Hive / Scalding (slow) Data Storage Tool Smaller datasetYour laptop Workflow
- 50. Hadoop Cluster Pig / Hive / Scalding (slow) Data Storage Tool Final dataset Tool node.js / python / etc. (fast) Your laptop Workflow Smaller dataset
- 52. Improve design for releasing to public
- 58. Demo / New Year 2013 twitter.github.io/interactive/newyear2014/
- 61. Another fun fact: Developed using 2012 data Then update data on Jan 2, 2013
- 62. 4.3 Data Analysis Tool
- 63. data wrangling output insights, products, stories exploratory data analysis report results in-depth analysis communication, storytelling raw data
- 65. UsersUseTwitter
- 67. UsersUse Curious Engineers Log data in Hadoop Write Twitter Instrument Product Managers
- 68. What are being logged? tweet activities
- 69. What are being logged? tweet from home timeline on twitter.com tweet from search page on iPhone activities
- 70. What are being logged? tweet from home timeline on twitter.com tweet from search page on iPhone sign up log in retweet etc. activities
- 71. Organize?
- 72. log event a.k.a. “client event” [Lee et al. 2012]
- 73. log event a.k.a. “client event” client : page : section : component : element : action web : home : timeline : tweet_box : button : tweet 1) User ID 2) Timestamp 3) Event name 4) Event detail [Lee et al. 2012]
- 75. Count page visits banana : home : - : - : - : impression home page
- 78. Funnel analysis banana : home : - : - : - : impression banana : profile : - : - : - : impression 1 jobhome page profile page 1 hour
- 79. Funnel analysis banana : home : - : - : - : impression banana : profile : - : - : - : impression banana : search : - : - : - : impression home page profile page search page 2 jobs 2 hours
- 80. Funnel analysis banana : home : - : - : - : impression banana : profile : - : - : - : impression banana : search : - : - : - : impression home page profile page search page Specify all funnels manually! n jobs n hours
- 81. Goal banana : home : - : - : - : impression … …… 1 job => all funnels, visualized home page
- 83. Aggregate 4 sessions A BB C start end endend A A end A
- 84. Aggregate A BB C start end endend end 4 sessions
- 87. Aggregate C start end endend A B end 4 sessions
- 92. Demo / Flying Sessions Using Visualizations to Monitor Changes and Harvest Insights from a Global-Scale Logging Infrastructure at Twitter by Krist Wongsuphasawat and Jimmy Lin. in Proc. IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 13 November, 2014
- 93. visualizationdata What is it about? Data => Visual display + Interaction What is it good for? Exploratory data analysis & storytelling How is it related to data science? It is one of the skills often utilized in the process. Example projects interactive.twitter.com @kristw / kristw.yellowpigz.com
- 94. Thank you
- 95. Questions?