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https://github.com/mecha-aima/demographic-analyzer

This project uses pandas to process census data from a csv file and draw useful results from the data by performing various filtering and calculations on it
https://github.com/mecha-aima/demographic-analyzer

data-analysis data-science pandas

Last synced: 8 days ago
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This project uses pandas to process census data from a csv file and draw useful results from the data by performing various filtering and calculations on it

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README

        

# Demographic Data Analyzer

A Python project using pandas for data analysis and visualization of demographic data.

## Overview

This project provides a comprehensive analysis of demographic data using pandas, a powerful data analysis library in Python. The project includes a Python module `demographic_data_analyzer` that contains functions to calculate useful statistics about the demographic data.

## Features

* Reads demographic data from a CSV file
* Provides insights into demographic characteristics such as age, education, and occupation
* Analyzes the relationship between demographic characteristics and income

## Requirements

* Python 3.x
* pandas
* numpy

## Installation

1. Clone the repository: `git clone https://github.com/your-username/demographic-data-analyzer.git`
2. Install the required libraries: `pip install pandas numpy matplotlib`
3. Run the project: `python main.py`

## Usage

### Running the Project

To run the project, simply execute the `main.py` file using Python:

```bash
python main.py
```

This will calculate and print the demographic data.

----------

### Calculating Demographic Data

The `calculate_demographic_data` function calculates demographic data from a CSV file. You can call this function by passing the path to your CSV file as an argument:

```python
from demographic_data_analyzer import calculate_demographic_data

data = calculate_demographic_data('path/to/your/data.csv')
```
------------

## Testing

The project includes a test module `test_module.py` that uses the `unittest` framework to run tests on the code. The tests can be run by executing the `test_module.py` file using Python:

```bash
python test_module.py
```

The tests cover the following functionality:

* Test that the `calculate_demographic_data` function returns the correct data

------------

## Main Module

The `main.py` module brings together the analyzer and the tests. It imports the `demographic_data_analyzer` module and the `test_module` module, and runs the tests and the analyzer.

------------

## Data

The project uses a CSV file containing demographic data. A few of these columns are:

* `age`: The age of the individual
* `education`: The education level of the individual (e.g., high school, college, etc.)
* `occupation`: The occupation of the individual
* `salary`: The income of the individual
* `race`: The race of the individual
* `native-country`: The individual's native country, etc.

You can replace the sample data with your own data by modifying the `adult.data.csv` file.

------------

## Contributing

Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request.

------------

## Acknowledgments

* This project is part of the "Data Anlysis with Python" certification by freecodecamp: https://www.freecodecamp.org/
* I wrote the code for the project, while the data file is owned by freecodecamp