Mastering data analysis with R: gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization
✍ Scribed by Daróczi, Gergely
- Publisher
- Packt Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 371
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
About This Book
Who This Book Is For
If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic.
What You Will Learn
✦ Subjects
Análisis de datos;Data Analysis;Estadística matemática--Informática;Minería de datos;R (Computer program language);R (Lenguaje de programación);R (Lenguaje de programación);Minería de datos;Estadística matemática -- Informática
📜 SIMILAR VOLUMES
R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data eff
Drawing on examples from across the social and behavioral sciences, <strong>Statistics with R: Solving Problems Using Real-World Data</strong> by Jenine K. Harris introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced b
A early publishing of CRC Press. No the final one.
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and