CS 725/825 - Information Visualization
Fall 2017: Fridays, 8:30-11:00am, E&CS 2120

Print - Admin





CS725 @ GitLab

Paper Presentations



Tableau's data visualization software is provided through the Tableau for Teaching program.

In-Class Work 2 (ICW2)

The goal of this exercise is to gain experience reading and discussing a couple of basic chart types. We'll look at a line chart, bar chart, and a scatterplot.


  • Gather into groups of 3 students
    • if we don't evenly divide, there can be a couple of 4-person groups
    • suggestion: use this as an opportunity to meet someone who you don't already know
  • Discuss each chart (described and shown below)
    • talk about what the chart is showing (what data is on what axis)
    • list at least 3 observations or insights that you can make from the chart
    • in particular, notice what you looked at on the chart to make your observations and discuss how the particular chart helped you make the observations
    • does this chart raise questions for you? is there other data that you'd like to see?
  • Choose a group representative who will present your findings to the class when we gather back together.

Line Chart

Les Miles was the coach of the LSU Tigers, my favorite college football team, from 2005-2015. Before that (2001-2004), he was coach of the Oklahoma State Cowboys. Let's look at his success in terms of winning percentage per year. Winning percentage is calculated as games won in a season divided by total games.

Line charts can show quantitative data vs. ordered data and allow you to show trends. This line chart shows his winning percentage (quantitative) vs. the year (ordered).

Data source: https://www.sports-reference.com/cfb/coaches/les-miles-1.html

Bar Chart

Each offensive play in football is either a run, pass, or kick. Here we'll look at rushing (run) statistics for the 20 teams with the highest rushing average per game.

Bar charts can show quantitative data vs. categorical data and allow you to lookup and compare values. This bar chart shows each team name (categorical) vs. the average yards gained by rushing per game (quantitative).

Data source: https://www.sports-reference.com/cfb/years/2016-team-offense.html


In the previous graph, we looked at average rushing yards per game. Here we'll compare that to the team's winning percentage for the 2016 season.

Scatterplots can show quantitative data vs. quantitative data and allow you to find trends, outliers, distribution, and/or correlation. This scatterplot shows each team's winning percentage (quantitative) vs. that team's average rushing yards per game (quantitative). This chart is showing data for all 128 NCAA FBS teams. (Note that I had to combine data from 2 different tables to generate this chart.)

Data sources: