Data Visualization (Part 1!)


Details
Hi R-Ladies SB,
Please join us for an evening of data visualization creation! We’ll be reviewing ggplot2 basics and exploring different ways to make customizing plots fun and easy. As a bonus, we’ll be using the new palmerpenguins package (https://github.com/allisonhorst/palmerpenguins), curated by our very own R-Lady and chapter co-founder, Allison Horst!
This workshop is designed as Part 1 of 2 in our data visualization series, making it a great way to become familiarized with ggplot2 syntax and options. R-users of all experience levels are encouraged to join—there will be opportunities to share your own tips and tricks along the way.
In addition, we are hoping to compile any visualizations that our fellow R-Ladies are proud of or excited to share with our community—if you are willing to share any of your creations and/or associated code for us to add to a slide deck and display on our chapter’s GitHub page (https://github.com/rladies/meetup-presentations_santabarbara), please fill out this GoogleForm (https://forms.gle/KhyEvpokVjxSdu6F6). We think this will be an awesome way to learn from one another and act as a resource for R-users of all experience levels.
Instructions for installing software and packages can be found below, and the Zoom link will become available upon RSVPing.
Looking forward to seeing many of you!
Cheers,
Sam, An, & Juliette
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If you wish to code alongside us during breakout room sessions, please have R/RStudio installed as well as the following packages: palmerpenguins, tidyverse, patchwork, and hrbrthemes.
Install R here: https://www.r-project.org/
Install RStudio here: https://rstudio.com/products/rstudio/download/
Copy and paste the following code into your console to install the necessary packages prior to our meetup:
install.packages(“palmerpenguins”)
install.packages(“tidyverse”)
install.packages("patchwork")
install.packages("hrbrthemes")
install.packages("ggtext")
install.packages("ggimage")
install.packages("rlang")
You can also download our code (and some cute penguin images that we'll be adding to our plots!) here:
https://drive.google.com/drive/folders/17mX2I990VXzM806dQtwuAyTEwnMEkUlO?usp=sharing
We suggest creating an R project to store all four files in for ease of use. If you are unsure how to do so, you can find detailed instructions here:
https://drive.google.com/file/d/1HAvvoKrX8Ehm_NCipkij0OqUQgWIAdCR/view?usp=sharing
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Data Visualization (Part 1!)