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Training Course Details

Data visualisation with ggplot2

Data visualisation with ggplot2

Course Level: Intermediate

Want to learn how to effectively visualise your data in R using the elegant {ggplot2} package? With {ggplot2} it’s easy to customise everything from plot layouts and themes to scales, colours, and more! This course will take you through basic plot types such as bar and line charts as well as cover more advanced topics such as interactive graphics with {plotly}.

Data visualisation with ggplot2

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Course Details

  • Course Outline
  • Learning Outcomes
  • Materials
  • Prior Knowledge

Course Outline

  • Introduction to the different graphics packages
  • Introduction to the fantastic {ggplot2} package
  • Groups, geoms, stats and layers within {ggplot2}
  • Scales, axes and legends
  • Facets, colour themes and general themes

Learning Outcomes

By the end of the day participants will…

  • have a thorough understanding of how different graphics packages in R work, in particular {ggplot2}
  • be able to efficiently plot their own data in eye catching ways within seconds, including:
    • barplots
    • histograms
    • heatmaps
    • scatter plots
    • density plots
    • many more
  • be able to customise their graphs with colour schemes, themes, fonts and grid layouts.

Materials

  • Page 1 of example course material for Data visualisation with ggplot2
  • Page 2 of example course material for Data visualisation with ggplot2
  • Page 3 of example course material for Data visualisation with ggplot2
  • Page 4 of example course material for Data visualisation with ggplot2
  • Page 5 of example course material for Data visualisation with ggplot2

Prior Knowledge

A basic knowledge of R is assumed for this course. In particular, attendees should be familiar with the topics covered in the introduction to R course. This course will be a mixture of lectures and computer practicals. The goal is to enable participants to apply the techniques covered to their own data. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet!

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