This Rpub document goes through beginning errors of using Seurat to handle unsupervised RAW gene expression data with many layers to the Seurat objects created. It runs through figuratively extracting just the data frames of counts and fragments with barcodes of cells in the array to make a large table, but that table doesn't have the attached hidden layers of gene name and other important information that Seurat can handle to run PCA, K-Nearest Neighbors clustering, UMap, and tSNE algorithms in getting top clusters. This is part 1. There is a part 2 before this, this is edited and cleaned up. Removing previous version.

This data dive examines how Game Score relates to statistical “unexpectedness” in NBA performances. By creating derived variables and analyzing their relationships, I evaluate correlation, outliers, and confidence intervals while also reflecting on how documentation and metric construction affect interpretation. The analysis highlights the importance of understanding how performance metrics are calculated before drawing conclusions.

On this site is an interactive map that show the prices for fair market rent in the Rutherford County area.

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