Data Analysis can be insightful, rewarding, and ultimately fun. The first step to understanding any dataset (after some proper wrangling and cleaning, of course) should be to visualize your data. In doing so, you're more likely to uncover trends, themes, or relationships that might otherwise be hiding in the details.

Below are some examples of analyses and visualizations I've created via tools like Tableau and Adobe Illustrator, with a range of software programming languages such as R, Python, and Stata.