Lab 04: Visualizing Multiple Variables

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Presentation transcript:

Lab 04: Visualizing Multiple Variables February 24, 2015 SDS 136 Communicating with Data

Outline Recap: visualizing correlation What about multidimensional data? Scatterplot matrix (SPLOM) Parallel coordinates Lab 3: SPLOMs and parallel coordinates in Tableau

Recap: scatterplot Goal: show the correlation between two quantitative (numerical) variables Outliers (points that are “far from the pack”) Maximum value(s) in each dimension General trend Minimum value(s) in each dimension

Recap: positive correlation Two variables moving in the same direction Trend line points up and to the right

Recap: negative correlation Two variables moving in opposite directions Trend line points down and to the right

Recap: no correlation Two variables are independent of one another No discernable pattern Trend line is flat

Discussion Scatterplots show us the relationship between just two variables at a time Question: how could we use this same idea to get a sense for an entire dataset? Answer: multiple scatterplots!

Example: Auto data acceleration weight horsepower

Scatterplot matrix (SPLOM)

Scatterplot matrix (SPLOM)

Discussion: pros and cons What’s good about SPLOMs? What’s not so good? What other visualizations have we seen that show correlation (i.e. “changing together”)?

Recap: line charts Definition: a visualization that uses lines to show relative changes in two continuous variables Vertical axis shows the dependent variable Horizontal axis shows the independent variable

Variations: multiple independent lines

First idea: line chart matrix?

Weirder idea H A W D M “parallel coordinates plot”

Discussion: parallel coordinates H A W D M What patterns do you see? Is anything pre- attentive? Any potential problems?

Lab 4: SPLOMs and Parallel Coordinates Instructions for today’s lab are available at: www.science.smith.edu/~jcrouser/SDS136/labs/lab4 You’ll find several do-it-yourself pieces scattered throughout the lab, along with some questions It’s okay if you get stuck! Just ask for help  To get credit for this lab, post responses to Piazza

Up next A3 due Monday by 11:59pm Next week: interactive visualization