Data Wrangling with R: Load, Explore, Trans... 9781803235400 von Santos, Gustavo R-

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Data Wrangling with R: Load, explore, tran... 9781803235400 by Santos, Gustavo R
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Book Title
Data Wrangling with R: Load, explore, transform and visualize ...
ISBN
9781803235400
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Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1803235403
ISBN-13
9781803235400
eBay Product ID (ePID)
26059022391

Product Key Features

Publication Year
2023
Subject
Data Modeling & Design, General, Data Processing, Databases / Data Mining
Number of Pages
384 Pages
Language
English
Publication Name
Data Wrangling with R : Load, Explore, Transform and Visualize Data for Modeling with Tidyverse Libraries
Type
Textbook
Subject Area
Mathematics, Computers
Author
Gustavo R. Santos
Format
Trade Paperback

Additional Product Features

Dewey Edition
23
Dewey Decimal
006.312
Synopsis
Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysisPurchase of the print or Kindle book includes a free PDF eBookKey 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 ggplot2Book DescriptionIn 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 ShinyWho this book is forIf 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., 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 Purchase of the print or Kindle book includes a free PDF eBook 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.
LC Classification Number
QA76.9.D343

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