Data Wrangling with R: Load, explore, transform and visualize data for modeling with tidyverse libraries
暫譯: 使用 R 進行資料整理:載入、探索、轉換及視覺化資料以便使用 tidyverse 函式庫進行建模

Santos, Gustavo R.

  • 出版商: Packt Publishing
  • 出版日期: 2023-02-23
  • 售價: $1,880
  • 貴賓價: 9.5$1,786
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1803235403
  • ISBN-13: 9781803235400
  • 相關分類: R 語言
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

透過深入了解 tidyverse 函式庫,提升您的資料處理技能,並有效地準備資料以進行令人印象深刻的分析

主要特色

- 探索 R 語言中最先進的資料處理函式庫,學習如何準備資料以進行分析

- 瞭解如何處理不同類型的資料,例如字串、數字、日期和時間

- 輕鬆建立您的第一個模型,並透過進階圖表類型和 ggplot2 進行資料視覺化

書籍描述

在這個資訊時代,每天都會產生大量的資料,公司希望能更好地掌握這些資料,以比以往更有效率地運作。這時,熟練的資料分析師和資料科學家便派上用場,他們負責整理和探索資料,以產生有價值的商業洞察。為了做到這一點,您需要許多工具來幫助您從資料中提取最有用的知識。

《使用 R 進行資料處理》將幫助您深入了解如何整理和準備資料集以進行探索、分析和建模。這本資料書使您能夠為更優化的分析做好資料準備,開發您的第一個資料模型,並進行有效的資料視覺化。

本書首先教您如何載入和探索資料集。接著,您將掌握資料處理的現代概念和工具。由於資料處理和視覺化是密切相關的,您將學習最佳實踐,以繪製資料並從中提取洞察。各章節的設計旨在幫助您全面了解建模,您將經歷一個資料科學專案的完整建構過程,並熟悉內建的 RStudio,包括使用 Shiny 儀表板構建的應用程式。

在本書結束時,您將學會如何創建您的第一個資料模型,並在 R 中使用 Shiny 構建應用程式。

您將學到什麼

- 探索如何在 R 中載入資料集和探索資料

- 處理資料集中的不同類型變數

- 創建基本和進階的視覺化

- 瞭解如何建立您的第一個資料模型

- 在 Microsoft Power BI 中以逐步方式使用 ggplot2 創建圖形

- 熟悉在 R 中使用 Shiny 構建應用程式

本書適合誰

如果您是專業的資料分析師、資料科學家,或是想學習更多資料處理的初學者,這本書適合您。對 R 語言或任何其他物件導向程式語言的基本概念有一定的熟悉度將有助於您理解本書所教授的概念。希望提升資料操作和視覺化技能的資料分析師也將從本書中獲益良多。

目錄大綱

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

目錄大綱(中文翻譯)

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