Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis

Key Features

• Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis
• Find out how to work with different data types such as strings, numbers, date, and time
• Build your first model and visualize data with ease through advanced plot types and with ggplot2

Book Description

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.

What you will learn

• Discover how to load datasets and explore data in R
• Work with different types of variables in datasets
• Create basic and advanced visualizations
• Find out how to build your first data model
• Create graphics using ggplot2 in a step-by-step way in Microsoft Power BI
• Get familiarized with building an application in R with Shiny

Who this book is for

If you are a professional data analyst, data scientist, or beginner who wants to learn more about data wrangling, this book is for you. Familiarity with the basic concepts of R programming or any other object-oriented programming language will help you to grasp the concepts taught in this book. Data analysts looking to improve their data manipulation and visualization skills will also benefit immensely from this book.

Table of Contents

1. Fundamentals of Data Wrangling
2. Load & Explore Datasets
3. Basic Data Visualization
4. Working with Strings
5. Working with Numbers
6. Working with Date and Time objects
7. Transformations with Base R
8. Transformations with tidyverse libraries
9. Exploratory Data Analysis
10. Introduction to ggplot2
11. Enhanced Visualizations with ggplot2
12. Other Data Visualization Options
13. Build Your First Model
14. Build an Application with Shiny in R

Review

"Data Wrangling with R is a great resource for anyone interested in data wrangling, especially if you're starting with R. The book's strengths lie in its use of tidyverse, which simplifies data wrangling workflows compared to Base-R and makes it much more accessible to beginners. I would always start learning with tidyverse. The structure of the book is excellent and takes the reader from reading data from various sources, through data cleaning and data preparation, to creating interactive applications with Shiny. The book provides a clear roadmap and a solid basis for further learning. I particularly liked the author's writing style. It is easy to read and understand, with numerous examples. In summary, I recommend this book to anyone who wants to learn or improve their data handling skills in R!"

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Tobias Zwingmann, Managing Partner – RAPYD.AI, AI Coach and Mentor

About the Author

Gustavo R Santos has worked in the Technology Industry for 13 years, improving processes, and analyzing datasets and creating dashboards. Since 2020, he has been working as a Data Scientist in the retail industry, wrangling, analyzing, visualizing and modeling data with the most modern tools like R, Python and Databricks. Gustavo also gives lectures from time to time at an online school about Data Science concepts. He has a background in Marketing, is certified as Data Scientist by the Data Science Academy Brazil and pursues his specialist MBA in Data Science at the University of São Paulo