- Advanced Analytics with R and Tableau
- Jen Stirrup Ruben Oliva Ramos
- 196字
- 2021-07-02 20:26:01
Preface
Moving from data visualization into deeper, more advanced analytics, this book will intensify data skills for data-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau.
Together, Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau.
In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.
Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau is the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R to create beautiful data visualizations.
- Learning Microsoft Windows Server 2012 Dynamic Access Control
- Deploying Node.js
- C語言程序設計教程
- Spring 5.0 By Example
- 自制編譯器
- Python自然語言處理實戰:核心技術與算法
- Scala Design Patterns
- Java應用開發與實踐
- 編寫整潔的Python代碼(第2版)
- Raspberry Pi 2 Server Essentials
- C語言程序設計同步訓練與上機指導(第三版)
- C#開發案例精粹
- Spring+Spring MVC+MyBatis從零開始學
- Mastering Adobe Captivate 7
- 測試架構師修煉之道:從測試工程師到測試架構師