Statistics and Data Visualization Using R

The Art and Practice of Data Analysis

KEY FEATURES:

• A focus on data visualization helps students develop a more intuitive understanding of statistics as a way to interpret numbers, not as formulas to memorize or tests to perform.
• Exercises throughout and at the end of each chapter give students the practice they need to learn and cement their knowledge of statistics.
• A wide variety of examples from social science research help students appreciate the value of statistics.
• A copy-and-paste approach to R keeps the focus on the statistics and visualization components, emphasizing that students can easily adjust the code for their own work rather than starting from scratch each time.
• “Art and Practice of Visualization” boxes delve into the process of constructing charts and graphs and provide tips, tricks, and best practices for data displays to help students produce the appropriate charts for their data.
• By using the free and popular R programming language, students learn skills they can take with them through research or into the workplace.
• Each figure has its own accompanying Code Chunk so students can copy and paste the code to manipulate the data, keeping the focus on statistics, not the software.
• Social science data from across the U.S. and around the world, from demographic data to opinion research on major social issues, demonstrate the value of statistics.