This animation presents Leiden subnetwork detection results for directed, weighted bilateral import trade among the set of countries identified as autonomous actors from 1993 to 2025, using IMF Direction of Trade Statistics. Subnet labels and colors are applied consistently across years to facilitate comparison. These labels are substantive interpretations of the detected communities rather than fixed algorithmic community numbers.

Intro to Linear Regression: First Base Hitting Stats and Salary Predictions

This activity uses real clinical data from breast cancer patients in The Cancer Genome Atlas (TCGA) to explore how patient information can be analyzed and interpreted. Students examine the types of clinical data collected, summarize large datasets, identify missing or uncertain values, and look for patterns in patient and tumor characteristics. The activity also introduces the role of data analysis in biomedical research and provides a foundation for later connecting clinical information with gene expression data to better understand breast cancer.

My completed Exam 1.