![]() ![]() You can see all we need to do is just write the name of the dataset and hit enter. See an example below where we are loading the “cars” data into the console of RStudio. You can use the RStudio to load the datasets you are about to work. It will allow you to download the RStudio desktop application.ġ. After clicking on the page, you will navigate to the download page, Ans select the RStudio Desktop option. Hower down and you can see the DOWNLOAD RSTUDIO DESKTOP button. ![]() However, with the RStudio, things become easier and you can access all the files and folders from your computer through a dropdown and then set the working directory with ease.Īccessing files/folders and setting working directory is so easy. It is a hectic job to set your working directory when you are working with R Software. Accessing your computer files/folders and setting a working directory is a walk on the cake. Objects stored in the RStudio environment for the session.Ĥ. See the below screenshot where we could see all the objects stored in the local environment of my RStudio workspace. The Environment tab gives you access to all of the objects (variables, datasets, etc.) that are created in it for the session. Objects stored in your environment are easy to access through the “Environment” tab. ![]() However, hitting tab gives me the exact list of variables from the dataset.Īn image that shows how easy the tab-complete the code.ģ. See the screenshot below where we are not aware of the variables the “cars” data set contains. The tool is so intelligent that it can automatically detect the components of the function/file/dataset you are looking at. ![]()
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