About the course
Our Data Visualisation training course with R will allow you to exploit the graphical capabilities of R and find different ways to explore your data sets.
You will learn how to produce a range of different graphs that will allow you to present data in the most appropriate manner. You’ll learn about basic graph types such as bar charts, scatter and box-whisker plots, as well as more “exploratory” types such as scatter plot matrices and conditioning plots.
You will also learn how to alter basic graphical parameters, and thus customise your graphics to best effect.
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- Transform Raw Data into Compelling Visual Narratives: Master the fundamental principles of graphics and learn how to craft impactful exploratory visualisations that reveal hidden patterns.
- Become a Visual Storyteller with R: Discover how to add, layer, and combine graphical elements to build sophisticated and insightful charts.
- Take Control of Your Visuals: Learn to fine-tune every aspect of your graphs by customising graphical parameters for maximum clarity and impact.
- Share Your Insights Effectively: Master the techniques for saving and exporting your high-quality graphics in various formats for presentations, reports, and publications.
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This focused training course is ideal for individuals and teams who need to communicate data effectively through compelling visuals using R. It will greatly benefit:
Data Analysts: Looking to enhance their ability to present findings and insights through impactful charts and graphs in R.
Scientists and Researchers: Who need to visualise complex datasets and research outcomes clearly and accurately using R's graphical capabilities.
Business Intelligence Professionals: Seeking to create engaging and informative dashboards and reports using R for better data understanding.
Marketing Professionals: Who want to visualise campaign performance, customer behaviour, and market trends using R for data-driven decision-making.
Anyone working with data: Individuals in any role who need to translate raw data into easily understandable and actionable visualisations using R.
Aspiring Data Storytellers: Those interested in learning the art and science of communicating narratives through data visuals in R.
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While this course focuses on data visualisation in R and introduces the necessary R commands, a basic familiarity with:
Basic Computer Literacy: Comfort with using a computer and navigating files.
Elementary Data Concepts: Understanding of datasets, variables, and basic data types will be helpful but not mandatory.
No prior experience with the R programming language is required. The course will cover the necessary R syntax for creating graphics from the ground up.
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This Data Visualisation with R course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Graphics basics
This session covers the basics and shows you how to produce a range of standard chart types as well as various customisations.
Scatter plots
Bar charts
Box-whisker plots
Pie charts
R commands
boxplot
barplot
plot
pie
col
lty
cex
pch
bg
Exploratory graphs
This session covers some more specialist graph types, which are especially useful in data analysis.
Scatter plot matrices
Conditioning plots
Lattice graphs
R commands pairs
coplot
lattice
interaction
plot
Adding to graphs
This covers topics such as adding titles and marginal text, adding lines (e.g. best-fit, error bars) and additional data series, and legends.
Titles
Legends
Extra points or lines
Mathematical symbols
R commands title
legend
text
points
expression
mtext
arrows
segments
lines
abline
Customising graphical parameters
This session covers aspects of the underlying graphical system and how to tweak it to maximum effect. Topics include, working with colour and altering plot margins.
Altering margins
Working with colour
Changing graphical parameters
R commands
par
palette
Saving graphics
How to save graphics files to disk in various formats. You’ll learn how to use the device driver to send graphics commands directly to disk.
Exporting graphics
R commands
de
copy
dev.off
pdf
png
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https://www.r-project.org/ - the home of the R Project
https://posit.co/download/rstudio-desktop/ - hugely popular R editor
https://code.visualstudio.com/docs/languages/r - R extension for VS Code
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