Book Image

Visualize This

By : Nathan Yau‚ÄØ
Book Image

Visualize This

By: Nathan Yau‚ÄØ

Overview of this book

Visualize This is a guide on how to visualize and tell stories with data, providing practical design tips complemented with step-by-step tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who tell stories with data. Logically it moves on to actual stories in data-statistical ones with trends and human stories. the technical part comes up quickly with how to gather, parse and format data with Python, R, Excel, Google docs, and so on, and details tools to visualize data-native graphics for the Web like ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML. Every chapter provides an example as well. Patterns over time and kinds of data charts are followed by proportions, chart types and examples. Next, examples and descriptions of outliers and how to show them, different kinds of maps, how to guide your readers and explain the data "in the visualization". The book ends with a value-add appendix on graphical perception.
Table of Contents (12 chapters)

Wrapping Up

It’s fun to explore patterns over time. Time is so embedded in our day-to-day life that so many aspects of visualizing temporal data are fairly intuitive. You understand things changing and evolving—the hard part is figuring out by how much and learning what to look for in your graphs.

It’s easy to glance over some lines on a plot and say something is increasing, and that’s good. That’s what visualization is for—to quickly get a general view of your data. But you can take it further. You can use visualization as an exploratory tool. Zoom in on sections of time and question why there was a small blip on some day but nowhere else or why there was a spike on a different day. That’s when data is fun and interesting—the more you know about your data, the better story you can tell.

After you learn what your data is about, explain those details in your data graphic. Highlight the interesting parts so that your readers know where...