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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
- Host: GitHub
- URL: https://github.com/mecha-aima/demographic-analyzer
- Owner: Mecha-Aima
- Created: 2024-09-06T19:16:54.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-09-06T19:30:57.000Z (2 months ago)
- Last Synced: 2024-09-06T23:03:31.534Z (2 months ago)
- Topics: data-analysis, data-science, pandas
- Language: Python
- Homepage:
- Size: 409 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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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_datadata = 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