Master Discrete Data Analysis with R: Visualize and Model Categorical and Count Data – David Meyer

Unlock the power of R to analyze discrete data effectively. This comprehensive guide provides a practical approach to mastering the analysis of categorical and count data, prevalent in numerous fields. Learn to leverage R’s capabilities for insightful data exploration and modeling.

Visualize your data with clarity and precision. Employ a range of graphs and charts to uncover hidden patterns and trends within your categorical and count data, leading to a deeper understanding of your datasets. The book guides you through effective data visualization techniques, turning complex information into readily interpretable visuals.

Develop robust statistical models using methods specifically designed for discrete data. This book covers essential techniques like logistic regression and decision trees, enabling you to build predictive models and draw meaningful conclusions from your analysis. You’ll learn how to choose the appropriate model based on your data and research question.

Ensure data integrity by learning how to manage missing values and outliers. This critical aspect of data analysis is thoroughly addressed, equipping you with the skills to clean and prepare your data for accurate and reliable analysis. Learn best practices for handling imperfections in your dataset to ensure robust results.

Through real-world examples and case studies, you’ll gain a practical understanding of applying these techniques. The book illustrates how to effectively transform data, validate and evaluate models, and ultimately draw meaningful conclusions from your analyses. Strengthen your analytical skills with hands-on learning.