Interactive Graphics for Data Analysis

Principles and Examples
1. Auflage 2019
ISBN: 978-0-367-45253-7
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 292 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 413 g

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 Graphics
The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles.

Case Studies Illustrate the Principles
The second section focuses on nine case studies. Each case study describes the background, lists the main goals of the analysis and the variables in the dataset, shows what further numerical procedures can add to the graphical analysis, and summarizes important findings. Wherever applicable, the authors also provide the numerical analysis for datasets found in Cox and Snell’s landmark book.

Understand How to Analyze Data through Graphical Means
This full-color text shows that interactive graphical methods complement the traditional statistical toolbox to achieve more complete, easier to understand, and easier to interpret analyses.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Theus, Martin

Urbanek, Simon

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Introduction. Principles. Examples. Appendix. References. Authors. Index.

Über Autor(innen)

Martin Theus, Simon Urbanek