Pakistan Population Visualization

This repository contains a Streamlit-based visualization tool that maps various demographic, educational, and population metrics for Pakistan. The interactive tool plots markers on a map of Pakistan, where each marker represents a city. The tool allows users to analyze population data and schooling metrics by adjusting primary and secondary parameters.

Link of this tool Pakistan_pop_visualization_tool

Table of Contents

• Features
• Dataset
• Installation
• Usage
• Parameters
• Screenshots
• Contributing

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Features

• Interactive Map: Visualize demographic and education metrics across Pakistan.
• Customizable Parameters: Choose primary and secondary parameters to display, affecting marker size and color respectively.
• Province Filtering: Focus on specific provinces or display data for all of Pakistan.
• Detailed Metrics: Primary and secondary parameters include population, school count, household density, and growth rate among others.

Dataset

The dataset used for this visualization includes the following columns:

• Demographic: total_male_total, total_female_total, population_2023, households, density_2023, etc.
• Education: Counts of schools by gender and level, e.g., primary_boys_schools, high_girls_schools.
• Geographic: Coordinates (lat, lng), area, and density.

Installation

1. Clone the repository:

   git clone https://github.com/arafayr/Pakistan-population-Analysis.git

2. Navigate to the project directory:

   cd Pakistan-Population-Visualization

3. Install the dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit application:

   streamlit run pak_pop_streamlit.py

2. Open the application in your browser

Parameters

• Primary Parameter: Sets the marker size, representing metrics like population or number of schools.
• Secondary Parameter: Sets the marker color, allowing comparison of a secondary metric such as school density or household size.
• Province Filter: Select from provinces (Punjab, Sindh, KPK, Balochistan.) or view data for the entire country.

Available Metrics

Here are some metrics available for selection:

• Population (population_2023, population_2017, growth_rate)
• Gender distribution (total_male_total, total_female_total)
• Educational facilities (e.g., primary_boys_schools, high_girls_schools, total_schools)
• Geographic and household data (area(km²), density_2023, households)

Screenshot

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.