# tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard architecture

> Architecture diagram of the GitHub repository tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-26). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard
- Repository: https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard

## Overview

Africa Population Pulse is a Streamlit dashboard for exploring African population trends. Users select regions, countries, and a year range; the app filters the prepared dataset, then presents KPIs and temporal, geographic, correlation, and regional-distribution analyses. The README also describes a World Bank ETL process that produces the cleaned CSV, but no ETL implementation is present in the tree. Dashboard behavior is sampled from app.py; chart nodes below represent its distinct analytical views.

Main entry points: [`app.py`](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py) (Streamlit Dashboard), [`africa_population_cleaned.csv`](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/africa_population_cleaned.csv) (Cleaned Population Data)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Population Data"]
  node_clean_data[("Cleaned Population Data")]
  node_filtered_data["Filtered Population Data<br/>[app.py]"]
end

subgraph group_interaction["Dashboard Interaction"]
  node_dashboard["Streamlit Dashboard<br/>[app.py]"]
  node_filters["Region, Country, Year Filters<br/>[app.py]"]
end

subgraph group_analysis["Analytical Views"]
  node_kpis["Population KPIs<br/>[app.py]"]
  node_temporal["Temporal Trends<br/>[app.py]"]
  node_geographic["Geographic Choropleth<br/>[app.py]"]
  node_correlations["Correlation Matrix<br/>[app.py]"]
  node_distribution["Regional Distribution<br/>[app.py]"]
end

node_analyst(("Dashboard User"))

node_analyst -->|"uses"| node_dashboard
node_dashboard -->|"loads CSV"| node_clean_data
node_dashboard -->|"renders"| node_filters
node_filters -->|"filters"| node_filtered_data
node_clean_data -->|"supplies rows"| node_filtered_data
node_dashboard -->|"calculates"| node_kpis
node_filtered_data -->|"provides data"| node_kpis
node_dashboard -->|"builds chart"| node_temporal
node_filtered_data -->|"provides data"| node_temporal
node_dashboard -->|"builds map"| node_geographic
node_filtered_data -->|"provides data"| node_geographic
node_dashboard -->|"computes matrix"| node_correlations
node_filtered_data -->|"provides data"| node_correlations
node_dashboard -->|"builds boxplot"| node_distribution
node_filtered_data -->|"provides data"| node_distribution

click node_dashboard "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_clean_data "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/africa_population_cleaned.csv"
click node_filters "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_filtered_data "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_kpis "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_temporal "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_geographic "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_correlations "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"
click node_distribution "https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py"

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_clean_data,node_filtered_data,node_analyst toneBlue
class node_dashboard,node_filters toneAmber
class node_kpis,node_temporal,node_geographic,node_correlations,node_distribution toneMint
```

## Components

### Population Data

- [Cleaned Population Data](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/africa_population_cleaned.csv): `africa_population_cleaned.csv`
- [Filtered Population Data](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`

### Dashboard Interaction

- [Streamlit Dashboard](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`
- [Region, Country, Year Filters](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`

### Analytical Views

- [Population KPIs](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`
- [Temporal Trends](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`
- [Geographic Choropleth](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`
- [Correlation Matrix](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`
- [Regional Distribution](https://github.com/tandah-marcelle/africa-population-pulse-streamlit-analytical-dashboard/blob/main/app.py): `app.py`

### Other components

- **Dashboard User**

## Connections

- Dashboard User → Streamlit Dashboard: uses
- Streamlit Dashboard → Cleaned Population Data: loads CSV
- Streamlit Dashboard → Region, Country, Year Filters: renders
- Region, Country, Year Filters → Filtered Population Data: filters
- Cleaned Population Data → Filtered Population Data: supplies rows
- Streamlit Dashboard → Population KPIs: calculates
- Filtered Population Data → Population KPIs: provides data
- Streamlit Dashboard → Temporal Trends: builds chart
- Filtered Population Data → Temporal Trends: provides data
- Streamlit Dashboard → Geographic Choropleth: builds map
- Filtered Population Data → Geographic Choropleth: provides data
- Streamlit Dashboard → Correlation Matrix: computes matrix
- Filtered Population Data → Correlation Matrix: provides data
- Streamlit Dashboard → Regional Distribution: builds boxplot
- Filtered Population Data → Regional Distribution: provides data