From the course: R for Data Science: Analysis and Visualization
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Navigating the RStudio environment - R Tutorial
From the course: R for Data Science: Analysis and Visualization
Navigating the RStudio environment
- [Instructor] If you have the Exercise Files and you open them up, you'll see R for Data Science.Rproj, which is an R project file. And if you have RStudio installed and you double-click on this, it will open up RStudio. So it looks like this. And I want to run you through some of the elements here that are going to be relevant to our course. Number one is if you come over here to where it says, "Files," you'll see these same files listed, including the R for Data Science.Rproj. And then another one that's important is way up here in the top right corner where it says, "Exercise Files." That includes these elements that we've accessed. And the nice thing about using in our project is it makes it easy for R to find your various files without ha you having to specify an entire file path that might be really long cryptic. If you come here and open up code, let's go to this first one, 02_04_Navigating.R. And when we open that, we get this script. This is the R program that we're going to…
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Contents
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Installing R3m 30s
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(Locked)
Environments for R2m 54s
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(Locked)
Installing RStudio1m 9s
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(Locked)
Navigating the RStudio environment8m 17s
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(Locked)
Entering data7m 2s
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(Locked)
Data types and structures10m 35s
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Comments and headers5m 59s
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Packages for R4m 18s
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The tidyverse5m 38s
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Piping commands with |4m 42s
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Sample datasets4m 35s
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(Locked)
Importing data from a spreadsheet5m 24s
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