"Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. The first part of the book summarizes principles and methodology, de
Interactive Graphics for Data Analysis: Principles and Examples
โ Scribed by Martin Theus (Author); Simon Urbanek (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 2008
- Leaves
- 293
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets.Fundamentals of Interactive Statistical GraphicsThe first part of the book summarizes principles and methodology, demons
โฆ Table of Contents
Introduction. Principles. Examples. Appendix. References. Authors. Index.
โฆ Subjects
Computer Science;Databases;Data Preparation & Mining;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Computing;Statistical Theory & Methods
๐ SIMILAR VOLUMES
<P>This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter topics include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often
It seems that most introductory R books spend too much time with correlations and other modeling. I am still hoping to find an R book that deals primarily with data manipulation and descriptive graphics at an intro to intermediate level. Simply put, knowing something well and conveying it properly