This project created an automated R-based workflow for processing, analyzing, and visualizing well data. The R script specifically computes nonparametric Kendall's tau-b correlations and creates time series plots of chloride concentrations and water levels for each monitoring and production well, including dual-axis plots as needed.

Using simple probability theory to answer the overwhelming question "will I eventually get employed?".

Primer ejercicio de Regresión elaborado con Python

The importance of converting relative to absolute abundance in the context of microbial ecology: Introducing the user-friendly DspikeIn R package