Lab 1 - User testing for Visualizations

General instructions

• The coding, plotting and analysis parts of this assignment are to be completed in R, submitting both a .Rmd and rendered .md file.
• For the report, you can write it in any medium you want, but the final version must render on Github.
• By submit, we mean upload these file to your repository for this assignment on Github.
• In the main README.md of you lab/assignment repository, create a table that lists and links to all the important files for this assignment.
• Remember to make it easy for others to run your code.

In lab activity

• Complete the Visualization user testing survey we created. There are 2 surveys to complete, see this link for the order you are to complete them in: survey_links.md

Data was sourced from the Batting table of the Lahman R package (http://cran.us.r-project.org/web/packages/Lahman/Lahman.pdf) for the Toronto Blue Jays team for all years in the dataset (1977 - 2015).

Exercise 1

 

In an .Rmd file, for each question from the survey, use the data collected to:

• use ggplot2 to plot the class's responses to each question in the survey
• choose and perform appropriate statistical tests to assess the class's responses to each question in the survey
• for each visualization you create, and for each statistical test you perform, write a couple of sentences to describe your observations and findings.

Exercise 2

 

Choose key visualizations and statistical results from Exercise 1 and write a short, one page report (not including tables or figures) on the results from the visualization user test.

Specifically:

• Discuss whether the survey results indicate that certain visualizations were better for certain tasks?
• Highlight any findings that do or do not align with concepts discussed in lecture.
• Make recommendations for future use or improvements of these visualizations in relation to their intended tasks (we will reveal these to you after the survey is completed).