Creative Data Visualization Techniques for Intro Stats Presentation

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Explore the world of big data visualization in just 15 minutes with Patti Frazer Lock at St. Lawrence University. Witness the power of creative and effective data visualization techniques for multiple variables, adding depth and fun to statistics. From scatterplots to interactive tools, discover how to make data come alive with a blend of statistics, graphics, and design.

  • Data Visualization
  • Intro Stats
  • Big Data
  • Creative Techniques
  • Statistics

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Presentation Transcript


  1. Big Data Visualization in Intro Stats (in 15 minutes!) Patti Frazer Lock St. Lawrence University Joint Mathematics Meetings January 2017 With help from: Robin Lock, Kari Lock Morgan, Eric Lock, Dennis Lock

  2. My Assumptions Want students to see how creative and effective and fun data visualization can be. Data visualization and multiple variables are increasingly important. But: Hard to fit more material into Intro Stats. My Solution Give students a sense of what is possible, in just 15 minutes of class time.

  3. Background This comes early, at the end of the material on Describing Data. We introduce Multiple Regression at the end of the course. We added this material following the ASA Guidelines. It was very fun to add it! (Next slide starts the student slides.)

  4. Moving beyond Histograms and Scatterplots In this age of Big Data, we need more ways to visualize data. Especially when we have multiple variables! Guiding Principle: Facility quick and accurate interpretation of data. Allows plenty of room for creativity. Includes elements of statistics, computer graphics, and artistic design.

  5. Scatterplot: Two Quantitative Variables Percent to graduate college. Median Household Income. For 50 US States.

  6. Scatterplot: Add a Third Variable Categorical variable: Region of the country.

  7. Scatterplot: Add a Fourth Variable! Quantitative variable: Population.

  8. But we want more! Make it INTERACTIVE! Make it DYNAMIC! www.gapminder.com/tools

  9. Data Over Time: CO2 Levels

  10. Geographic Data: Obesity Geographic Data Over Time http://stateofobesity.org/adult-obesity/

  11. Lets Get More Creative! A Day in the Life: 1000 American adults flowingdata.com

  12. 5:45 am

  13. Lets Get Creative! A Day in the Life: 1000 American adults flowingdata.com http://flowingdata.com/2015/12/15/a-day-in-the-life-of-americans/

  14. OKCupid: What age do users find most attractive? X-axis: age of OK Cupid heterosexual females Y-axis: average age of males they rated most attractive

  15. OKCupid: What age do users find most attractive? X-axis: age of OK Cupid heterosexual males Y-axis: average age of females they rated most attractive

  16. Pretty successful and pretty fun! These slides available at www.lock5stat.com Thanks for listening!

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