Juan Esteban Arango, Geronimo Herrera y Juan Jose Zuluaga

This project analyzes high-frequency water quality sensor data from Boston (BOS) and Atlanta (ATL) to evaluate relationships between CDOM (Colored Dissolved Organic Matter) and other in situ environmental variables. Using R, I performed correlation analysis and developed multi-axis interactive time series visualizations to explore how CDOM covaries with conductivity, temperature, dissolved oxygen, pH, and optical backscatter. The workflow emphasizes reproducibility, structured data cleaning, and clear visualization using tidyverse, corrplot, and plotly. The result is an exploratory data analysis framework that supports rapid interpretation of sensor-based water quality dynamics across multiple urban systems.

1° DRAFT MAPPA