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.

Bar and Column Charts

Learning Objectives

  • Create column charts, stacked column charts, and 100% stacked column charts
  • Identify the individual components comprising bar and column charts
  • Demonstrate best practices for creating bar and column charts

Bar and column charts are ubiquitous. They are commonly used in academic, professional, and popular publications, rendering them familiar to a wide variety of readers. The bars in a bar chart are drawn horizontally, parallel to the chart’s x-axis (see Figure 2.1); the columns in a column chart are drawn vertically, parallel to the y-axis (see Figure 2.2). Data in these charts are represented by the length of the bars and height of the columns. The chart in Figure 2.1 contains one data series, Number of Wildlife–Airplane Collisions, for eight cities. Similarly, the ...

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