Written for students, professionals, and social scientists with little or no knowledge of data visualization principles, this complete guide presents step-by-step instructions for clearly and effectively presenting data using MS Office programs. Throughout the book, the focus is on turning raw, quantitative data into attractive, well-designed charts and tables that tell an accurate narrative about underlying information. Helpful illustrations, expert tips for solving common issues, and discussions on working efficiently are included to equip readers with the tools they need to engage their audience using a visual format.
We began this text with a brief history of the field of data visualization, reviewed the types of basic charts and tables that may be used to illustrate data, explained how to clean and prepare data for charting, and discussed creating and delivering data reports and presentations. To conclude our treatment of data visualization using Microsoft Office, we’ll briefly recap the major considerations surrounding each of these phases in a typical data reporting project. A summary of the major phases in the process is illustrated in Figure 12.1.
Figure 12.1 Major phases of the data visualization process
Collecting or Downloading Data
The first step in any data visualization project is to find data with which to work. There are two main options: collect original ...