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Beautiful Plots with ggplot2

Tuesday, May 18th, 2021 1:00-3:00

Zoom Room 1: https://arizona.zoom.us/j/82636592469, password: 502540

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Being able to create visualizations (graphical representations) of data is a key step in being able to communicate information and findings to others. In this module you will learn to use the ggplot2 library to declaratively make beautiful plots or charts of your data. Learning the framework for using this library will allow you to make nearly any kind of (static) data visualization, customized to your exact specifications.

Getting Started

Download the image files and data from github: www.github.com/katbeescience/ggplot-viz

This workshop expects some working basic knowledge of R, RStudio and if possible of the ‘tidyverse’
Installations:
To follow this workshop you’ll need R and Rstudio installed on your computer.
Open RStudio and install the tidyverse libraries by typing install.packages("tidyverse") in the console.
You can also get the avocado price dataset available here (but we’ll do this together):
https://www.kaggle.com/neuromusic/avocado-prices/data

What we'll cover:

The ‘layered’ system of adding plot components (geoms)
The ‘grammar’ of graphics
Plotting dates in a time series
Extras: Add an image (or three) to your plot!
We’ll work as consistently as possible with previous workshops


Introductions

Name, Affiliation, Title, Email, Social Media

Questions and Answers

In this section, you can post your questions and feel free to answer if you have it. Questions will be answered during or after the workshop.

  1. Ask your question.
    • Here is an answer

Additional Resources

The code from this workshop: https://github.com/katbeescience/ggplot-viz
A sign-in sheet for participants: https://docs.google.com/spreadsheets/d/1DqpT7-U1XiSEhVT_wpuEEVDII5Lhavm5wRRcDrQiPPk/edit?usp=sharing
Avocado dataset used in this workshop: https://www.kaggle.com/neuromusic/avocado-prices/data
A second link to the avocado dataset: https://docs.google.com/spreadsheets/d/1ZTVsagSH2zpWz9O-8CV68WPlEd95ewL9OmK0vAgVpl8/edit?usp=sharing
R Graph Gallery: https://www.r-graph-gallery.com/ggplot2-package.html
R Color Library: http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf
List of ggplot themes: https://ggplot2.tidyverse.org/reference/ggtheme.html
ggplot2 documentation: https://ggplot2.tidyverse.org/index.html
THE ggplot Book: https://ggplot2-book.org/index.html
Book: Data Visualization, A Practical Introduction by Kieran Healy. https://socviz.co/index.html#preface
Book: Discovering Statistics in R by Andy Field, Jeremy Miles, and Zoe Field https://www.discoveringstatistics.com/books/discovering-statistics-using-r/


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