Think of ggplots as being constructed in layers.
#Rstudio ggplot code
Here is a template of what the code for a typical ggplot will look like: #ggplot template It’s almost infinitely customizeable and there are lots of external add-ons to make interesting and vibrant visualizations. It’s built by the same people who make tidyverse and RStudio so it plays well with other tidyverse packages. Ggplot2 is the most popular package for plotting in R. To use it you will have to load either readr or tidyverse using library().
Remember that read_csv() comes from the readr package which is a part of tidyverse. Here’s how this might look on your computer with a file inside your project folder. And we assign the data to whatever name we want with <. The basic format of read_csv is to pass it either the file name of your data (saved in the same working directory that RStudio is using), or a url to data stored online, using quotes in both cases. But if you’re using tidyverse functions I’d recommend using read_csv()) (Note: read.csv() is the Base R equivalent and will work the same, more or less. The read_csv() function from the readr package (included in tidyverse) is the easiest way to read in. If you already have a lot of excel files that you don’t want to convert, there are packages that will read. If you’re working with an excel document you can easily save it as a. ‘csv’ stands for comma separated values and is an efficient way of storing data as text separated by commas. One common way to import data into R is as csv files.
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