https://github.com/mahmoudnamnam/data-analysis-projects

https://github.com/mahmoudnamnam/data-analysis-projects

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• Host: GitHub
• URL: https://github.com/mahmoudnamnam/data-analysis-projects
• Owner: MahmoudNamNam
• Created: 2024-02-18T23:00:26.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-08-10T23:44:52.000Z (3 months ago)
• Last Synced: 2024-08-11T00:35:29.992Z (3 months ago)
• Language: Jupyter Notebook
• Size: 42.6 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Analysis Projects

Welcome to my Data Analysis Projects repository! Here, I explore and analyze various datasets to gain insights and draw meaningful conclusions. Below, you'll find details about one of my projects:

## 1.Investigating Netflix Movies

This project is my first venture into data analysis, where I delve into the world of Netflix movies. I aim to uncover trends, patterns, and interesting information about the movies available on the platform.

### Project Overview

- **The project and Dataset**: [Netflix Movies Dataset](https://github.com/MahmoudNamNam/Data-Analysis-Projects/tree/main/Investigating%20Netflix%20Movies)

- **Tools**: Python, Jupyter Notebooks, Pandas, Matplotlib, Seaborn , sklearn

### Key Steps

1. **Data Cleaning**: I cleaned the dataset to ensure accurate and reliable analysis.

2. **Exploratory Data Analysis (EDA)**: Utilized visualizations to understand the distribution and relationships within the data.

3. **Insights and Findings**: Documented interesting findings and insights gained from the analysis.

## 2. Policing and Weather Analysis

In my second project, I explore the intriguing relationship between weather conditions and policing activities in Rhode Island. By merging datasets on traffic stops and weather information, I aim to uncover patterns and insights that may provide a nuanced understanding of law enforcement practices.

### Project Overview

- **The project and Dataset**: [Policing and Weather Analysis](https://github.com/MahmoudNamNam/Data-Analysis-Projects/tree/main/Analyzing%20Police%20Activity)

- **Tools**: Python, Jupyter Notebooks, Pandas, Matplotlib, Seaborn

### Key Components

1. **Integration of Datasets**: Merged the policing dataset with weather data to enable a comprehensive analysis.

2. **Correlation Exploration**: Investigated the correlation between weather elements and the frequency of traffic stops.

3. **Temporal Patterns and Extreme Weather Impact**: Analyzed temporal patterns and the influence of extreme weather on policing outcomes.

4. **Visualizations**: Incorporated visualizations to communicate findings effectively.

### Repository Link

**Repository:** ([Link_to_Repository](https://github.com/MahmoudNamNam/Data-Analysis-Projects/tree/main/Analyzing%20Police%20Activity))

Feel free to explore the projects and provide feedback or contributions. I'm continually working to enhance my data analysis skills and welcome collaboration and insights from the community!