# badalsahu200ns-png/healthcare-analytics-for-doctor-visits architecture

> Architecture diagram of the GitHub repository badalsahu200ns-png/healthcare-analytics-for-doctor-visits, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-30). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits
- Repository: https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits

## Overview

This repository is a doctor-visit healthcare analytics project. Its documented workflow is to examine the dataset, clean and explore it, compare visit patterns across demographic, socioeconomic, health, chronic-condition, and coverage factors, then use statistical analysis and visualizations to communicate findings. The notebook is the runtime analysis entry point; the CSV is the dataset. The tree also includes an HTML dashboard and a presentation, but the supplied README does not describe how they are produced or connected to the notebook, so they are shown as standalone artifacts. No notebook source was available to verify finer-grained calls or cell flow.

Main entry points: [`Healthcare_Analytics_for_Doctor_Visits.ipynb`](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb) (Exploratory analysis), [`1776250375-P2-Healthcare Analytics for Doctor Visits.csv`](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/1776250375-P2-Healthcare%20Analytics%20for%20Doctor%20Visits.csv) (Visit dataset)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Healthcare data"]
  node_dataset[("Visit dataset")]
end

subgraph group_analysis["Notebook analysis"]
  node_understanding["Data understanding"]
  node_cleaning["Data cleaning"]
  node_eda["Exploratory analysis"]
  node_comparisons["Factor comparisons"]
  node_statistics["Statistics and outliers"]
  node_visualizations["Visualizations"]
end

subgraph group_communication["Project outputs"]
  node_dashboard["Dashboard"]
  node_presentation["Presentation"]
end

node_analyst(("Analyst"))

node_analyst -->|"runs notebook"| node_understanding
node_dataset -->|"examines data"| node_understanding
node_understanding -->|"checks data"| node_cleaning
node_cleaning -->|"prepares variables"| node_eda
node_eda -->|"explores factors"| node_comparisons
node_eda -->|"analyzes patterns"| node_statistics
node_comparisons -->|"visualizes comparisons"| node_visualizations
node_statistics -->|"visualizes findings"| node_visualizations

click node_dataset "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/1776250375-P2-Healthcare%20Analytics%20for%20Doctor%20Visits.csv"
click node_understanding "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb"
click node_cleaning "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb"
click node_eda "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb"
click node_comparisons "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb"
click node_statistics "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb"
click node_visualizations "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb"
click node_dashboard "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/healthcare_analytics_dashboard.html"
click node_presentation "https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/BADAL_KUMAR_SAHU_STU6a3535a4427f41781872036_Healthcare_Analytics_for_Doctor_Visits.pptx"

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_dataset toneBlue
class node_understanding,node_cleaning,node_eda,node_comparisons,node_statistics,node_visualizations toneAmber
class node_dashboard,node_presentation toneMint
class node_analyst toneIndigo
```

## Components

### Healthcare data

- [Visit dataset](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/1776250375-P2-Healthcare%20Analytics%20for%20Doctor%20Visits.csv): `1776250375-P2-Healthcare Analytics for Doctor Visits.csv`

### Notebook analysis

- [Data understanding](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb): `Healthcare_Analytics_for_Doctor_Visits.ipynb`
- [Data cleaning](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb): `Healthcare_Analytics_for_Doctor_Visits.ipynb`
- [Exploratory analysis](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb): `Healthcare_Analytics_for_Doctor_Visits.ipynb`
- [Factor comparisons](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb): `Healthcare_Analytics_for_Doctor_Visits.ipynb`
- [Statistics and outliers](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb): `Healthcare_Analytics_for_Doctor_Visits.ipynb`
- [Visualizations](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/Healthcare_Analytics_for_Doctor_Visits.ipynb): `Healthcare_Analytics_for_Doctor_Visits.ipynb`

### Project outputs

- [Dashboard](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/healthcare_analytics_dashboard.html): `healthcare_analytics_dashboard.html`
- [Presentation](https://github.com/badalsahu200ns-png/healthcare-analytics-for-doctor-visits/blob/main/BADAL_KUMAR_SAHU_STU6a3535a4427f41781872036_Healthcare_Analytics_for_Doctor_Visits.pptx): `BADAL_KUMAR_SAHU_STU6a3535a4427f41781872036_Healthcare_Analytics_for_Doctor_Visits.pptx`

### Other components

- **Analyst**

## Connections

- Analyst → Data understanding: runs notebook (evidence: `README.md`)
- Visit dataset → Data understanding: examines data (evidence: `README.md`)
- Data understanding → Data cleaning: checks data (evidence: `README.md`)
- Data cleaning → Exploratory analysis: prepares variables (evidence: `README.md`)
- Exploratory analysis → Factor comparisons: explores factors (evidence: `README.md`)
- Exploratory analysis → Statistics and outliers: analyzes patterns (evidence: `README.md`)
- Factor comparisons → Visualizations: visualizes comparisons (evidence: `README.md`)
- Statistics and outliers → Visualizations: visualizes findings (evidence: `README.md`)