COVID Project

A data analysis project focused on understanding the impact of COVID-19 through visualizations and statistical insights.

Objectives

• Analyze COVID-19 data to identify trends and patterns.
• Provide visual representations of the pandemic's impact.
• Offer actionable insights based on the analysis.

Tools and Libraries

• Python: Core programming language.
• Pandas: Data manipulation and analysis.
• Matplotlib/Seaborn: Data visualization.
• NumPy: Numerical computations.
• Jupyter Notebook: Interactive development environment.

How to Run/View the Project

1. Clone the repository:

   git clone https://github.com/Protas254/Covid-Project.git

2. Navigate to the project directory:

   cd COVID-Project

3. Install the required dependencies:

   pip install -r requirements.txt

4. Open the Jupyter Notebook:

   jupyter notebook

5. Run the notebook cells to view the analysis and visualizations.

Insights and Reflections

• The project highlights significant trends in COVID-19 cases and recoveries.
• Visualizations provide a clear understanding of the pandemic's progression.
• The analysis emphasizes the importance of timely interventions and data-driven decisions.
• Working on this project enhanced skills in data analysis and visualization.
• Collaboration and version control were key to the project's success.