Visualisation with ggplot2

Genomics Aotearoa

This workshop will cover the fundamentals of data visualisation in R. Learn how to build beautiful plots from scratch.

This online workshop is delivered by Genomics Aotearoa and NeSI, and will be taught on Wednesday 18th of June from 10:00am-4:00pm NZT. It is for New Zealand researchers interested in data visualisation with ggplot2. Good visualisation is about more than just writing the correct code. Visualisation is communication, and good communication requires thinking about how we as the scientist/data analyst/creator convey our message to the reader. This one-day workshop will provide you with a toolbox of skills and code examples to help you create clear, visually interesting visualisations which accurately communicate a message. We will cover:<ul><li>The basic code template for ggplot</li><li>Visualisations for ourselves (exploratory analysis)</li><li>Examples of good data visualisation (with code)</li><li>Building a complex and visually appealing figure together</li><li>Visualising your own data (time permitting)</li></ul> Who this workshop is forScientists who have learned at least some R (Base R or tidyverse) and want to improve their ability to visualise data. You do not need to have any experience with ggplot2 to take part in this workshop. This workshop is also suitable for someone who has made a few basic plots and wants to learn about new geoms and optional arguments for making a more appealing plot. SetupThis is a fully online, hands-on workshop. This workshop material will be run on the NeSI OnDemand platform - there is no need to install any software for this workshop. Instructions on how to access the training platform will be sent out with the confirmation letter to registrants. Participants must have their own laptops and plan to participate actively. You will require a working web browser. If you have any questions about these workshops, including whether they are suitable for you, please contact tyler.mcinnes@otago.ac.nz.

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Visualisation with ggplot2

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Visualisation with ggplot2

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