Interactive Visualization
                  for
Exploratory Data Analysis

Short Course

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Instructor

Wayne Oldford is a Professor of Statistics at the University of Waterloo and will look something like this during the course:

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Date and times:

The course will be held live online via a Teams meeting on Wednesday, May 12, 2021 beginning at 14:00 Dublin time.

Make sure you have made all necessary preparations (software and equipment) on your end a few days before the course begins.

The course will be in two parts on Wednesday May 12 with a 15 minute break between:

• Part 1: Approximately 60 minutes in length

• Part 2: Approximately 60 minutes in length

Preparing for the course

Please follow these instructions for downloading loon before the course. Please check again the night before (and morning of) the course in case there have been any last minute updates.

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Presentation material

Please follow these instructions for downloading loon before the course.

On the morning of the course, download ALL files in the following directory (and sub-directory):

• CASI 2021: Interactive Visualization for Exploratory Data Analysis: https://math.uwaterloo.ca/~rwoldfor/talks/CASI2021/R/

Make sure you download and do not just open in the browser (right click on the links?)

Please preserve this directory structure if possible. It will make your life simpler.

Course organization

NOTE: All links below refer to files you should have downloaded already from the above link

• Part 0: 0 hour

  • 0. beforeWeBegin.R contains some R code, mainly library() statements to make sure you have everything you need installed before we start.

• Part 1: Introducing interactive visualization (approx. 1 hour + intro/overview)

  • pdf slides (10 minutes?)
  • R code:
    • 1. covidNZ.R (about an hour here)

• Break: 15 minutes

• Part 2: A grammar for interactive graphics (approx. 1 hour)

  • R code
    • 2. airquality.R (about an hour here)
  • a image file diver.png

• Part 3: Homework (as long as you like … yours to discover)

  • these are the files in the Extra directory

    • moreInformation.R Access the more tutorial/reference documents
    • course_data.R Access the course data.
    • loon.ggplot.R More examples and detail on how loon and ggplot2 work together.
    • plots3D.R A couple of interesting analyses involving three dimensional data plots.
    • higher_dimensional.R A few interactive methods for visualizing more than three dimensions.
      
    • pipes.R Illustrate the construction of loon plots using the pipes of magrittr.
    • teachingDemo.R A few demonstrations are shown where loon can (and has) been used in the classroom. The demonstration code is available and can be adapted to new lessons.