Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures - Image 1

Price loading...

O'Reilly Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

Name: Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
Brand: O'Reilly

Management

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story

Key Features

New Store Stock

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1492031089
Category: Books > Subjects > Business, Finance & Law > Management
Domain: Amazon UK
Release Date: 23 April 2019
Listed Since: 24 April 2018

Barcode

No barcode data available

O'Reilly Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Communicating with Data: Making Your Case with Data

O'Reilly Beautiful Visualization - Data Expert Perspectives

Introduction to Information Visualization: Transforming Data into Meaningful Information

Visual Analytics for Data Scientists

Routledge Data Visualization Made Simple - Practical Guide

Springer Data Visualization: The State of the Art 713 Book

Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition (360 Degree Business)

Interactive Visual Data Analysis (AK Peters Visualization Series)

Data Visualization in R and Python

Visualization Analysis and Design: Principles, Techniques, and Practice (AK Peters Visualization Series)

Modern Data Visualization with R (Chapman & Hall/CRC The R Series)

Data Visualization: Exploring and Explaining with Data

Data Visualization: Principles and Practice, Second Edition

Data Visualization: Exploring and Explaining with Data (Mindtap Course List)

Data Visualization for People of All Ages (AK Peters Visualization Series)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Handbook of Data Visualization (Springer Handbooks of Computational Statistics)

Getting (more out of) Graphics: Practice and Principles of Data Visualisation (Chapman & Hall/CRC Data Science Series)

Data Visualization and Statistical Literacy for Open and Big Data (Advances in Data Mining and Database Management)

The Golden Age of Data Visualization: How Did We Get Here? (AK Peters Visualization Series)

Data Visualization for Oracle Business Intelligence 11g (DATABASE & ERP - OMG)

Visual Data Insights Using SAS ODS Graphics: A Guide to Communication-Effective Data Visualization

Presenting Data Effectively: Communicating Your Findings for Maximum Impact

Data and Process Visualisation for Graphic Communication: A Hands-on Approach with Python