In this post, I create some basic geographical maps using the San Francisco Trees dataset from TidyTuesday, a project that shares a new dataset each wee to give R users a way to apply and practice their skills. Getting started with geographical mapping in R can be daunting because there is a lot of terminology to describe a lot of methods that are specific to mapping. There is a whole discipline – Geographic Information Systems – dedicated to this stuff, so it’s no surprise that it can get complicated fast.
In this post, I analyze the Pizza Party dataset from TidyTuesday, a project that shares a new dataset each week to give R users a way to apply and practice their skills. This week’s data is about survey ratings of New York pizza restaurants. Setup First, let’s load the tidyverse, change our default ggplot2 theme, and load the data. (I named the dataframe pizza_barstool_raw because I’ll probably add some cleaning steps and I like to have the original data on hand.