Simple pipeline for loading cell-count CSV data and generating analysis plots
It loads CSV cell‑count files into an SQLite database with a single command. The pipeline then generates summary tables, statistical outputs, and plots automatically. Researchers can run the whole process via a Makefile, making reproducibility easy. Compared to manual pandas scripts, it bundles setup, execution, and visualization in one package.
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