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Big Data Visualization in Intro Stats (in 15 minutes!) Big Data Visualization in Intro Stats (in 15 minutes!)

Big Data Visualization in Intro Stats (in 15 minutes!) - PowerPoint Presentation

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Uploaded On 2018-03-20

Big Data Visualization in Intro Stats (in 15 minutes!) - PPT Presentation

Patti Frazer Lock St Lawrence University Joint Mathematics Meetings January 2017 With help from Robin Lock Kari Lock Morgan Eric Lock Dennis Lock My Assumptions Want students to see how creative and effective and fun data visualization can be ID: 658078

age data variable lock data age lock variable attractive axis multiple day fun material creative flowingdata time life add

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Slide1

Big Data Visualization in Intro Stats (in 15 minutes!)

Patti Frazer Lock

St. Lawrence UniversityJoint Mathematics MeetingsJanuary 2017

With help from

: Robin Lock, Kari Lock Morgan, Eric Lock, Dennis LockSlide2

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. Slide3

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.)Slide4

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. Slide5

Scatterplot: Two Quantitative Variables

Percent to graduate college. Median Household Income.

For 50 US States.Slide6

Scatterplot: Add a Third Variable

Categorical variable: Region of the country

.Slide7

Scatterplot: Add a Fourth Variable!

Quantitative variable: Population

.Slide8

But we want more!

Make it INTERACTIVE!

Make it DYNAMIC!

www.gapminder.com/toolsSlide9

Data Over Time: CO

2 LevelsSlide10

Geographic Data: Obesity

Geographic Data Over Time

http://stateofobesity.org/adult-obesity/Slide11

Let’s Get More Creative!

A Day in the Life: 1000 American adults

flowingdata.comSlide12

5:45 amSlide13

Let’s Get Creative!

A Day in the Life: 1000 American adults

flowingdata.comhttp://

flowingdata.com/2015/12/15/a-day-in-the-life-of-americans

/Slide14

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 attractiveSlide15

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 attractiveSlide16

Pretty successful and pretty fun!

These slides available at www.lock5stat.com

Thanks for listening!