Centre for Applied Statistics

Data Visualisation - July 2017

Further information

Short courses

Duration

1 day


Dates and Time 

  • 18 July 2017

Course will run from 9am - 5pm. Registration will open at 8.45am on the day.


Facilitator

Alethea Rea

 
This course covers the basics of data visualisation and would be particularly useful for those wishing to learn the basics of statistical data visualisation.

Workshop Description

Workshop attendees will learn about simple statistical graphics and understand which charts are useful for which types of data. Participants will be guided through plots of a single variable though to several variables and learn how best to compare different types of data. 

Outline

This course will cover topics such as:
  • Presenting data for a single variable: Including an introduction to histograms, box plots, and bar graphs 
  • Visualisation of two or more variables: Including an introduction to scatterplots, pairs plots, parallel coordinate plot and variable-width stack bar charts
  • Other plots and maps: Including a brief introduction to plots for time series, bubble plots and more
  • Data Ink: Essential parts of a graphic, Tufte’s Data-Ink ratio and how to increase it
  • Colour and perception: Colour palettes, preattentive features 
  • An introduction to ggplot2

The majority of the course will focus on concepts and examples however the final session will provide an introduction to ggplot2, a powerful visualisation package in R. Participants are welcome to bring their own laptop with R installed if they wish to run the examples as they are being demonstrated. R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. 

One week before the course we will send you further information and instructions on how to install R and ggplot2.

Costs 

  • $50 for UWA PhD or Masters by Research only (no coursework) students (GST inclusive)
  • $225 for all other enrolments (GST inclusive)

   
 
 

Centre for Applied Statistics

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Last updated:
Thursday, 11 May, 2017 1:02 PM

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