Introduction to R: Exploring and Preparing Data

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In this lesson we learn about the sorts of questions and operations you should consider when exploring and preparing a new data set. This lesson covers a lot of ground and many of the topics raised will be covered in more detail in upcoming lessons. The goal is to provide a sense some of the high level considerations to keep in mind when exploring a data set, as well as a few specific R functions for performing common data cleaning tasks.

This is lesson 13 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:

Introduction to R: Functions https://www.kaggle.com/hamelg/intro-to-r-part-13-exploring-and-preparing-data

This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.

I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can fork and edit each lesson so that you can follow along and run code yourself.

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Introduction to R Playlist:
https://www.youtube.com/playlist?list=PLiC1doDIe9rDjk9tSOIUZJU4s5NpEyYtE







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