# minakfahmy/ma_water_quality_analysis architecture

> Architecture diagram of the GitHub repository minakfahmy/ma_water_quality_analysis, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/minakfahmy/ma_water_quality_analysis
- Repository: https://github.com/minakfahmy/ma_water_quality_analysis

## Overview

This repository is a Massachusetts water-quality analysis project, not a deployed monitoring service. Its documented workflow uses the probe-data CSV in an end-to-end notebook to clean and explore measurements, train risk classifiers, tune the XGBoost decision threshold, and evaluate high-risk-event predictions. The notebook also documents class imbalance and predictor findings. No source excerpts were available, so the graph reflects README-described relationships only; it does not imply that predictions are delivered to agencies or that a live alerting system exists.

Main entry points: [`MA_Water_Quality_Report.ipynb`](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb) (Analysis notebook), [`wqdiscreteprobedata.csv`](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/wqdiscreteprobedata.csv) (Probe data)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Water-quality data"]
  node_probe_data["Probe data"]
end

subgraph group_analysis["Notebook analysis"]
  node_notebook["Analysis notebook"]
  node_cleaning["Data cleaning"]
  node_eda["Exploratory analysis"]
end

subgraph group_modeling["Risk modeling"]
  node_features["Feature preparation"]
  node_logistic["Logistic baseline"]
  node_xgboost["XGBoost model"]
  node_threshold["Threshold tuning"]
  node_evaluation["Model evaluation"]
end

node_analyst(("Analyst"))

node_analyst -->|"runs"| node_notebook
node_probe_data -->|"provides measurements"| node_notebook
node_notebook -->|"performs"| node_cleaning
node_notebook -->|"performs"| node_eda
node_notebook -->|"prepares features"| node_features
node_notebook -->|"trains baseline"| node_logistic
node_notebook -->|"trains model"| node_xgboost
node_notebook -->|"tunes threshold"| node_threshold
node_notebook -->|"evaluates models"| node_evaluation

click node_probe_data "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/wqdiscreteprobedata.csv"
click node_notebook "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_cleaning "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_eda "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_features "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_logistic "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_xgboost "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_threshold "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"
click node_evaluation "https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_probe_data toneBlue
class node_notebook,node_cleaning,node_eda toneAmber
class node_features,node_logistic,node_xgboost,node_threshold,node_evaluation toneMint
class node_analyst toneIndigo
```

## Components

### Water-quality data

- [Probe data](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/wqdiscreteprobedata.csv): `wqdiscreteprobedata.csv`

### Notebook analysis

- [Analysis notebook](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`
- [Data cleaning](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`
- [Exploratory analysis](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`

### Risk modeling

- [Feature preparation](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`
- [Logistic baseline](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`
- [XGBoost model](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`
- [Threshold tuning](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`
- [Model evaluation](https://github.com/minakfahmy/ma_water_quality_analysis/blob/main/MA_Water_Quality_Report.ipynb): `MA_Water_Quality_Report.ipynb`

### Other components

- **Analyst**

## Connections

- Analyst → Analysis notebook: runs
- Probe data → Analysis notebook: provides measurements
- Analysis notebook → Data cleaning: performs
- Analysis notebook → Exploratory analysis: performs
- Analysis notebook → Feature preparation: prepares features
- Analysis notebook → Logistic baseline: trains baseline
- Analysis notebook → XGBoost model: trains model
- Analysis notebook → Threshold tuning: tunes threshold
- Analysis notebook → Model evaluation: evaluates models