DSCA_data_visualisation_in_r

Data Visualization

Link to the Github Pages website hosting the slides for this repo.

Data Visualization Slides

Version 1

Course Duration

3 Hours

Course Summary

This course introduces students to the grammar of graphics and building a plot using ggplot2.

Course Objective

Students will become familiar with how a plot is built using ggplot learn to customise and create different plots.

Lead Developer

Laurie Baker

Course Reviewer(s)

Richard Leyshon

Intended Audience

Students familiar with R wishing to advance their data visualisation skills.

Learning Objective Detail

At the end of the course, participants will:-

• Be familiar with how a construct a basic plot using layers in ggplot.
• Understand how variables in the data are used to determine aesthetics of the plot.
• Be familiar with the concepts of tidy data.
• Understand the connection between different geoms and the type of plot they produce (e.g. geom_line, geom_point).
• Understand how to customise a plot using labs, theme, facet.

Course Type (Fixed length list.)

• Online learning - Not Available
• Independent learning - Not Available
• Face to face - Available

Skill Level

Intermediate

Pre requisite summary

Students should have completed the course Introduction to R. A recent version of R and RStudio. Packages: tidyverse, gapminder, leaflet.

Acknowledgements

These slides are an updated version of gadenbuie’s gentle introduction to ggplot2.

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