#DISCLAIMER: This is our 6th meeting on Advanced Data Analysis in R programming. Today's lesson is basically about switching from R studio to Jupyter notebook IDE in running R more effectively, amongst other benefits.
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https://www.youtube.com/watch?v=DUaQkiCrzz4&feature=youtu.be In this YouTube video, we shall learn how to install Jupyter notebook and run R effectively with this Jupyter notebook IDE (for those who want to switch from R studio to Jupyter Notebook). I have already been using Jupyter notebook for previous classes and its importance was explained in the first online meeting (all lessons are uploaded on YouTube).
Steps to install Jupyter notebook 1. Download & Install anaconda based on your operating system (whether Windows, Linux, Mac, Chromebook, etc.) from here 👇 https://docs.anaconda.com/anaconda/install/
2. Adding R kernel to Jupyter notebook: This step can be done in a number of ways. You can search & open Anaconda. Then click on Jupyter Notebook within Anaconda. However, the best & fastest alternative is to search and open Anaconda prompt on your computer just as you would have searched for any installed program/software on your computer. It will open a command line. Just run this line of code in there (the link below will show you everything I stated in point 2 with pictures of what to expect)👇
https://datatofish.com/r-jupyter-notebook/
For general information about the class, please visit the link below: https://piazza.com/clements_school_on_data_analysis/fall2020/ss401/info?fbclid=IwAR2UkhqecbiBx3RQdetmRt4wPsNmyEe3y7RtK9PrfO68DaNaZLY5P3Ilnuw
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