Publishing quality charts in R with ggplot2 - Virtual Classroom

Date: Tuesday 27 October 2020 9.30AM - Wednesday 28 October 2020 5.00PM
Location: Online
CPD: 12.0 hours
RSS Training
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This tutor-lead virtual course will introduce how the tidyverse and ggplot2 can be used to reproducibly create publication quality charts from R. 
 

This tutor-lead virtual course will introduce how the tidyverse and ggplot2 can be used to reproducibly create publication quality charts from R. 
 

Learning Outcomes

Reproducibly import and wrangle data with the tidyverse in preparation for charting with ggplot2. Confidently choose the appropriate geoms for visualising data with ggplot2. Understand how to use factors using the forcats package to control the display (or order) of chart elements. Effectively control the use of colours and themes in ggplot2 charts. Understand how to augment GIS data using sf and the tidyverse to be visualised with ggplot2. Reproducibly export publication quality charts for papers, posters and other printed media.
 

Topics Covered

R, Data Visualisation, ggplot2, Data Presentation, Exploratory Data Analysis.
 

Target Audience

This course is designed for both completely novice and experienced R users who want to create publication quality printed charts with ggplot2.

Delegates are expected to bring a laptop with the R software installed.

 

Charlie Hadley

Charlie Hadley is currently a Research Technology Specialist at Oxford University specialising in data visualisation, as well as being a content creator for Lynda.com. Her background is in biophysics and statistical computing, completing her MPhys at University of Leeds and a short research post at University of Birmingham on biomineralisation. 

Charlie was a senior technology consultant at Wolfram Research for 3 years working primarily on finance and HR projects, in addition to consulting for the Estonian ComputerBasedMath.org project.

 At Oxford University, Charlie is helping to launch a data visualisation service for researchers. Initially this service exclusively provides Shiny consultative support, but further technologies will be added in the future as the team grows.

 

Fees

   

Registration before
 27 September 2020

 

Registration on/after
 27 September 2020

                                  

Non Member 

RSS Fellow 

RSS CStat/Gradstat also MIS & FIS

 

£611.00+vat 

£520.00+vat 

£490.00+vat

£680.00+vat 

£577.00+vat 

£543.00+vat

 
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