An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch. 1st ed. 2020
- 種類:
- 電子ブック
- 責任表示:
- by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2020
- 著者名:
- シリーズ名:
- Use R! ;
- ISBN:
- 9783030489977 [3030489973]
- 注記:
- Preface -- 1 Introduction -- 2 Introduction to R -- 3 Databases in R -- 4 Visualization -- 5 Data Analysis with R -- R Packages and Funtions.
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses. - ローカル注記:
- 学内専用E-BOOKS (local access only)
類似資料:
Springer International Publishing : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
Springer Nature Singapore : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
Springer India : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
Springer Nature Singapore : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
Springer Nature Singapore : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
12
![]() Springer International Publishing : Imprint: Springer |