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:
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.
- The project and Dataset: Netflix Movies Dataset
- Tools: Python, Jupyter Notebooks, Pandas, Matplotlib, Seaborn , sklearn
- Data Cleaning: I cleaned the dataset to ensure accurate and reliable analysis.
- Exploratory Data Analysis (EDA): Utilized visualizations to understand the distribution and relationships within the data.
- Insights and Findings: Documented interesting findings and insights gained from the 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.
- The project and Dataset: Policing and Weather Analysis
- Tools: Python, Jupyter Notebooks, Pandas, Matplotlib, Seaborn
- Integration of Datasets: Merged the policing dataset with weather data to enable a comprehensive analysis.
- Correlation Exploration: Investigated the correlation between weather elements and the frequency of traffic stops.
- Temporal Patterns and Extreme Weather Impact: Analyzed temporal patterns and the influence of extreme weather on policing outcomes.
- Visualizations: Incorporated visualizations to communicate findings effectively.
Repository: (Link_to_Repository)
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!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent