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)

Searching for Outliers

Rather than looking for how units of data belong in certain groups, you should also be interested in how they don’t belong in groups. That is, there will often be data points that stand out from the rest, which are called, you guessed it, outliers. These are data points that are different from the rest of the population. Sometimes they could be the most interesting part of your story, or they could just be boring typos with a missing zero. Either way, you need to check them out to see what’s going on. You don’t want to make a giant graphic on the premise of an outlier, only to find out later from a diligent reader that your hard work makes no sense.

Graphic types have been designed specifically to highlight outliers, but in my experience, nothing beats basic plots and common sense. Learn about the context of your data, do your homework, and ask experts about the data when you’re not sure about something. Once you find the outliers, you...