There are packages to import all types of data and RStudio has wizards for just a few of the possibilities.
We are going to first import a csv using the wizard but also get the code to copy to scripts for reproducibility.
Import wizard
We will use the “Import Dataset” button (but you can also click on the file itself):
Two ways of importing csv
The base R doesn’t use any packages but imports a data frame in R whereas {readr} is built on the base R and creates a neater tibble
tibble = data frame
tibble is synonymous with data frame but acts differently
A tibble… is a modern reimagining of the data.frame…
Tibbles are data.frames that are lazy and surly: they do less (i.e. they don’t change variable names or types, and don’t do partial matching) and complain more (e.g. when a variable does not exist).
This forces you to confront problems earlier, typically leading to cleaner, more expressive code.
https://tibble.tidyverse.org/)
Find the file
Locate the file capacity_ae.csv
Data preview
When the file is located {readr} is used automatically and the data preview populates
Getting the code for later
Whilst it’s possible just to select import, RStudio gives you the option to copy the code:
Running the code
In the editor, once copied from the wizard or shared in a script:
library(readr) # Good practice to put this at the top of a scriptcapacity_ae <-read_csv("capacity_ae.csv")
