This project involves exploratory data analysis on a Netflix dataset to understand content distribution, trends, and patterns. The goal was to analyze structured data and extract meaningful insights through data cleaning and visualization.
The project focuses on understanding the dataset rather than building predictive models.
- Analyze Netflix content data
- Explore trends in movies and TV shows
- Understand distribution based on categories and attributes
- Visualize insights using charts and graphs
The dataset contains information related to Netflix content, including attributes such as title, category, release details, and other descriptive fields.
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
- Data loading and basic inspection
- Data cleaning and preparation
- Exploratory data analysis
- Visualization of key trends
- Interpretation of findings
- Identified trends in content types and distribution
- Analyzed patterns across different categories
- Visualized data to highlight meaningful insights
This project enhanced my skills in exploratory data analysis, data visualization, and working with real-world datasets using Python.
Eldho Joshy