Visualizing Society with Big Data. (3-0) 3 Credit Hours

Catalog description

This course covers basic and advanced techniques for data visualization in the programming language of R, such as boxplots, histograms, scatterplots, forest plots, and maps. These techniques allow researchers to detect data flaws, conduct exploratory analyses, and visually communicate patterns using population data from multiple sources. This course will review the calculation and interpretation of the statistics used in the visualization techniques (e.g., age-adjusted rates and confidence intervals).