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

For beginners, one of the hardest parts to design data graphics is to figure out where to start. You have all this data in front of you without a clue about what it is or what to expect. Usually, you should start with a question about the data and work off of that question, but what if you don’t know what to ask? The methods described in this chapter can help a lot with this. They help you see all the data at once, which makes it easier to figure out what part of the data to explore next.

However, don’t stop here. Use these as jumping off points to narrow down to spots that look interesting. This, in addition to what previous chapters cover should be enough to help you dig deep into your data, no matter what type of data you deal with. Well, except for one. The next chapter covers one more data type: spatial data. Get ready to make some maps.