<p>R can help you work with data you already have. You can do this by learning some common R data commands, exploring your data, aggregating the data into summary information, and visualizing the results to share with others. But before that, data cleaning is a very important aspect. Here we will talk about using tidyr to create tidy data.</p> <p>This course will teach you how to put R to practical use in a world where decisions are data-driven. We start off by understanding how to prepare your data for analysis. You will learn how to organize data in a way that is easily workable. We will then explore data and understand how easy it is to gain insights from it by summarizing, aggregating, and visualizing data in R.</p> <p>By the end of this course, you will be equipped with the skills you need to explore a Retail, Telecom, or any other dataset handed to you, break down its key feature into easily digestible information, summarize this information, and produce visually appealing plots to demonstrate these insights.</p> <p>All the code files for this course are available on Github at -&nbsp;<a href="https://github.com/PacktPublishing/Hands-On-Data-Exploration-with-R-V-" target="_blank">https://github.com/PacktPublishing/Hands-On-Data-Exploration-with-R-V-</a></p> <h1>Style and Approach</h1> <p>This course follows a hands-on learning style with step-by-step instructions for implementing best practices and monitoring/preventing critical issues with Xcode.</p>