5. Page View Time Series Visualizer

• Description: A project to visualize and analyze time-series data from freeCodeCamp.org forum page views. This involved cleaning the data and creating line plots and box plots to identify yearly and monthly trends.
• Key Libraries: Pandas, Matplotlib, Seaborn
• Concepts: Time-series data, date parsing, box plots, line plots, data visualization.

🛠️ Technology Stack

The primary technologies used across these projects include:

• Python: The core programming language.
• Pandas: For data manipulation, cleaning, and analysis.
• NumPy: For high-performance scientific computing and array operations.
• Matplotlib: For creating static, animated, and interactive visualizations.
• Seaborn: A high-level interface for drawing attractive and informative statistical graphics.
• SciPy: For scientific and technical computing, specifically linear regression.

🏁 Getting Started

To run any of these projects locally, please follow the steps below.

Prerequisites

• Python 3.8 or higher
• Git

Installation & Usage

1. Clone the repository:

   git clone [https://github.com/](https://github.com/)[YOUR_USERNAME]/fcc-data-analysis-with-python-Collection.git
   cd fcc-data-analysis-with-python-Collection
   

2. Navigate to a project directory:

   # Example:
   cd 02-demographic-data-analyzer
   

3. Install dependencies: It is highly recommended to use a virtual environment.

   # Create a virtual environment
   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   
   # Install required packages
   pip install -r requirements.txt
   

4. Run the project: Each project's main logic is run from main.py, which also imports the unit tests from test_module.py.

   python main.py
   

📄 License

This project portfolio is licensed under the MIT License. See the LICENSE file for more details.

✨ Acknowledgments

A special thank you to Quincy Larson and the entire freeCodeCamp.org team for creating this comprehensive and challenging curriculum, which provides invaluable, accessible education for all.