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Key benefits

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

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.

Who is this book 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

The Statistics and Machine Learning with R Workshop

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Total ₱ 7,400.97

Daksh Mar 21, 2023

"Data Wrangling with R: Load, explore, transform and visualize data for modeling with tidyverse libraries" is an excellent guidebook for those interested in learning R programming language for data science purposes. The book provides a detailed overview of how to efficiently work with data in R by leveraging the tidyverse libraries.Part one of the book provides an introduction to the R programming language and its features. The author covers data structures, functions, and programming concepts that are essential for data analysis in R. He also explains how to use RStudio, the most popular integrated development environment for R.In part two, he delves into data loading and cleaning. He explains how to import data from different sources such as CSV, Excel, and databases. The author also provides numerous examples of how to clean and transform data using tidyverse libraries such as dplyr and tidyr.Part three of the book covers data exploration and visualization. The author demonstrates how to use ggplot2 to create various data visualizations such as scatterplots, histograms, and boxplots. He also shows how to use other visualization libraries like plotly and leaflet.Finally, in part four, the author covers modeling and machine learning using R. He explains how to use the caret package for model training and evaluation. He also covers topics like regression, classification, clustering, and time series analysis.Overall, "Data Wrangling with R: Load, explore, transform and visualize data for modeling with tidyverse libraries" is a must-read for anyone interested in learning R programming language for data analysis. The author's writing style is clear and concise, making it easy for readers to understand the concepts and follow along with the examples. The book is well-organized, and the examples are practical and relevant to real-world data science problems. I highly recommend this book to anyone looking to upskill in data wrangling with R.

Amazon Verified review

Sunil K. Gupta Mar 10, 2023

I have the honor to review Data Wrangling with R by Gustavo Santos! Being new to R, I was afraid this book was going to be too technical and only on statistical modeling. On the contrary, I was happy to find this R book easy to read, understand and apply whether you are new or an intermediate R programmer. The logical flow between chapters and sections with useful summaries and tips showcase Gustavo's in-depth knowledge and expertise in R. I really like how Gustavo compares similar R methods which help to reinforce R syntax understanding. Gustavo's approach will be liked by Data Scientists since all traditional methods of data cleaning, structure and operations before statistical modeling are followed. The graph gallery makes it easy to look up the correct R graph code without writing R code from scratch. I highly recommend Data Wrangling with R book to establish a strong foundation of R learning!

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T. Zwingmann Apr 16, 2023

Ich hatte kürzlich die Gelegenheit, ein kostenfreies Exemplar diese Buches zu lesen. "Data Wrangling with R" ist eine tolle Ressource für jeden, der sich mit Data Wrangling befasst, vor allem, wenn man mit R anfängt. Die Stärken des Buches liegen in der Verwendung von tidyverse, das die Arbeitsabläufe für Data Wrangling im Vergleich zu Base-R vereinfacht und es für Anfänger viel zugänglicher macht. Ich selbst würde immer anfangen mit Tidyverse zu lernen.Die Struktur des Buches ist hervorragend und führt den Leser vom Einlesen von Daten unterschiedlicher Quellen, über Data Cleaning und Data Preparation bis hin zur Erstellung interaktiver Anwendungen mit Shiny. Das Buch liefert einen klaren Fahrplan und bildet eine solide Grundlage für weiteres Lernen. Mir hat besonders der Schreibstil des Autors gefallen. Er ist leicht zu lesen und verständlich, mit zahlreichen Beispielen.Zusammenfassend kann ich das Buch jedem empfehlen, der seine Fähigkeiten im Umgang mit Daten in R erlernen oder verbessern möchte!

Amazon Verified review

Jim Heidinger Mar 22, 2023

As I spend a lot of time working with R in my work, I was interested in the main premise about data wrangling and especially using visualizations and statistics to start the process of analysis. I was very much interested in the areas where R native packages could accomplish these tasks and the author gave a pretty deep walk through of techniques that spanned creating datasets to parsing strings, working with numbers and classes to data transformations.I found quite a few areas where I would come back to the book as a reference and study guide for problems I often face. The author had a very logical approach to coding and documenting that can serve as a model for a more coherent approach to problem solving.My favorite areas were also addressed with date conversions, parsing, data tables and visualizations. He pretty much covered it all in a very straight forward and comprehensive manner building on each prerequisite step in coming to a deeper understanding of data. This was quite useful for modeling and learning about data transformation concepts as it all starts with the structure of the data in order to move forward.The final two chapters showed the strength of taking R further with model building and shiny apps. While just a taste of what can be accomplished the author gave plenty of references to material to refer to for further study.All in all, I enjoyed the book immensely. Not only was it a deep reference to the basics in data transformation and wrangling, but it gave plenty of useful examples of ways to accomplish my work by providing what I thought were innovative approaches to solving problems.

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bskkarthik Feb 25, 2023

The book is very good and it covered different libraries like tidyverse. The good part of book is it also covers on Shiny which is popular library for creating web app. The author did a good job in writing this book.I highly recommend this book to start on R.

Amazon Verified review

Data Wrangling with R: Load, explore, transform and visualize data for modeling with tidyverse libraries

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