[Online] useR!2020 Tutorial: A ggplot2 crash course

(Please note, we are not hosting this event, so to register you need to follow the link towards the end of this post!)

The useR! 2020 conference has gone online this year! This has made the tutorials being conducted as a part of the conference to be accessible remotely.

Join this online tutorial to learn about creating beautiful data visualizations in R using ggplot2! Use the link at the bottom of this page to register. This tutorial is being jointly hosted by the useR! 2020 team, R-Ladies NYC and R-Ladies DC.

Users of any subject matter background who are interested in data visualization with R are welcome. New R users (less than 1 year of continual experience) will get the most out of this course. Some basic knowledge, such as understanding of different R data types & structures (character, data frame, etc.) and authoring simple functions & loops, is required. The course, however, is not just for beginners. More advanced R users who have little to no experience with ggplot2 and other packages in the tidyverse will learn many new tools for data visualization in R.

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Instructor bio:

Dr. Sam Tyner has been using ggplot2 since version 0.9.2 (2012). She co-authored and maintains the ggplot2 extension package geomnet, and has taught ggplot2 to undergraduate students, graduate students, and professionals. Her material for undergraduate students can be found at csafe-isu.github.io/reu18/slides, and a list of all workshops taught is available in her CV. Dr. Tyner also has expertise in the theory of data visualization, acquired through her dissertation research and as a part of the statistical graphics working group at Iowa State University. She has written about her ggplot2 work in The R Journal and on her blog.

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Computing requirements:

Having R + RStudio installed is recommended, but if this is not possible you may use the RStudio Cloud workspace. Those not using the RStudio Cloud should have the tidyverse suite of packages and the plotly package installed. Or, for the minimalist participant, ggplot2, dplyr, tidyr, and plotly will be sufficient for the bulk of the material.

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Upon completion of this tutorial, participants will be able to:

1. Identify the appropriate plot types and corresponding ggplot2 geoms to consider when visualizing their data;
2. Implement the ggplot2 grammar of graphics by using ggplot() and building up plots with the + operator;
3. Iterate through multiple visualizations of their data by changing the aesthetic mappings, geometries, and other graph properties;
4. Incorporate custom elements (colors, fonts, etc.) into their visualizations by adjusting ggplot2 theme elements;
5. Investigate the world of ggplot2 independently to expand upon the skills learned in the course.

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Link for registration:

https://www.eventbrite.com/e/creating-beautiful-data-visualizations-in-r-a-ggplot2-crash-course-tickets-112524126692

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Code of Conduct:

As every R-Ladies event, all participants are required to agree to the Code of Conduct. In addition, we also adopt the useR! 2020 Code of Conduct.

1. R-Ladies Code of Conduct: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct
2. useR! 2020 Code of Conduct: https://user2020.r-project.org/codeofconduct/