Data Wrangling with R: https://packt.link/B6cmM 00:00 Introduction 00:35 Part 1 00:52 Chapter One 01:08 Chapter Two 01:40 Chapter Three 02:08 Part 2 02:28 Chapter Four 02:53 Chapter Five 03:14 Chapter Six 03:51 Chapter Seven 04:35 Chapter Eight 05:04 Chapter Nine 05:40 Part 3 06:08 Chapter Ten 06:33 Chapter Eleven 06:48 Chapter Twelve 07:21 Part 4 07:43 Chapter Thirteen 08:04 Chapter Fourteen In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data. Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization. The book begins by teaching you how to load and explore datasets. Then, you'll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you'll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards. By the end of this book, you'll have learned how to create your first data model and build an application with Shiny in R.