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This repository contains the code and analysis used for exploring compliance trends in Calgary's childcare programs and we have published the medium article based on our analysis

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Calgary Childcare Compliance Analysis

This repository contains the code and analysis used for exploring compliance trends in Calgary's childcare programs and we have published the medium article based on our analysis: Unlocking Patterns in Calgary Child Care Program Compliance: An Analytical Approach.

📖 Project Overview

Childcare programs play a crucial role in early childhood development, and ensuring regulatory compliance is essential. This analysis investigates patterns in compliance violations across Calgary’s childcare facilities using data-driven techniques.

Key Objectives:

  • Explore Calgary’s childcare compliance data.
  • Identify trends in regulatory violations.
  • Provide insights for improving childcare program standards.

📂 Repository Structure

  • Calgary_ChildCare_Compliance_Analysis.ipynb - Jupyter Notebook containing the full analysis.
  • data/ - Raw and processed datasets used for analysis.
  • images/ - Visualizations generated from the analysis.
  • README.md - Project documentation.

🛠️ Setup & Installation

To run the analysis locally, follow these steps:

  1. Clone this repository:
    git clone https://github.com/your-username/CalgaryChildcareCompliance_Analysis.git   
  2. Launch Jupyter Notebook:
    jupyter notebook Calgary_ChildCare_Compliance_Analysis.ipynb

🧰 Methodologies Used

This analysis follows a structured approach:

  1. Data Cleaning & Preprocessing: Handling missing values, standardizing formats.
  2. Exploratory Data Analysis (EDA): Identifying trends and insights through visualizations.
  3. Compliance Violations Analysis: Finding patterns in frequent violations.
  4. Visualization & Reporting: Using charts to communicate key insights effectively.

📚 Key Libraries Used

  • pandas - Data manipulation and analysis
  • matplotlib - Data visualization
  • seaborn - Statistical data visualization
  • numpy - Numerical computing

🔍 Insights from the Analysis

  • Certain types of violations occur more frequently than others.
  • Licensing and regulatory requirements impact compliance trends.
  • Data visualization helps pinpoint high-risk areas for non-compliance.

📢 Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to fork the repository and submit a pull request.

For a detailed breakdown of the findings, read the full article on Medium: Unlocking Patterns in Calgary Child Care Program Compliance.

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This repository contains the code and analysis used for exploring compliance trends in Calgary's childcare programs and we have published the medium article based on our analysis

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