This book demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing. With this book author uses step-by-step tutorials to show you how to visualize and tell stories with data.

Author explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.
• Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau
• Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers
• Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator
• Contains numerous examples and descriptions of patterns and outliers and explains how to show them
• Learn to present data with visual representations that allow your audience to see the unexpected
• Find the stories your data can tell
• Explore different data sources and determine effective formats for presentation
• Experiment with and compare different visualization tools
• Look for trends and patterns in your data and select appropriate ways to chart them
• Establish clear goals to guide your visualizations

Contents
1: Telling Stories with Data
2: Handling Data
3: Choosing Tools to Visualize Data
4: Visualizing Patterns over Time
5: Visualizing Proportions
6: Visualizing Relationships
7: Spotting Differences
8: Visualizing Spatial Relationships
9: Designing with a Purpose
Introduction

Download File Size:20.01 MB

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