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Data Analysis Project

Problem Statement

Looking at Data to Correct Cognitive Biases

data/inspiration -> Medium article: "How to Overcome Biases with Data"

In this notebook, we will investigate a simple problem: is the smoking rate higher in the metro area of my hometown (Peoria, Il) or in Boston. The purpose is to see if I can combat my cognitive biases with data and explore the data to determine why I made a incorrect conclusion.

Relevant Data:

z-score for 95% CI: http://www.stat.yale.edu/Courses/1997-98/101/confint.htm

Difference between two proportions formula: https://onlinecourses.science.psu.edu/stat100/node/57/

Dependencies

This project requires the following Python libraries:

  • NumPy
  • Matplotlib

You can install these dependencies using pip:

pip install numpy matplotlib

Project Structure

project/
│
├── data/
│   └── dataset.csv
│
├── src/
│   ├── data_loader.py
│   ├── data_processor.py
│   └── visualizer.py
│
├── notebooks/
│   └── analysis.ipynb
│
├── results/
│   └── figures/
│
├── README.md
└── requirements.txt

Usage

  1. Clone this repository:

    git clone https://github.com/yourusername/data-analysis-project.git
    cd data-analysis-project
    
  2. Install the required dependencies:

    pip install -r requirements.txt
    
  3. Run the analysis:

    python src/main.py
    

    Alternatively, you can open and run the Jupyter notebook:

    jupyter notebook notebooks/analysis.ipynb
    

Results

The analysis results, including generated figures, will be saved in the results/ directory.

Contributing

If you'd like to contribute to this project, please fork the repository and create a pull request with your proposed changes.

License

This project is license free .

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