A comprehensive Exploratory Data Analysis (EDA) project on the Netflix dataset using Python, Pandas, NumPy, Matplotlib, and Seaborn. This project focuses on cleaning the dataset, exploring trends, generating business insights, and visualizing Netflix's content library through an interactive dashboard.
Netflix Dataset Dashboard
The objective of this project is to analyze Netflix's catalog of Movies and TV Shows to uncover meaningful insights regarding content distribution, release trends, ratings, countries, directors, and movie durations.
The project demonstrates the complete data analysis workflow, including:
- Data Cleaning
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Business Insights
- Dashboard Creation
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
The dataset contains information about Netflix Movies and TV Shows, including:
- Show ID
- Category (Movie / TV Show)
- Title
- Director
- Cast
- Country
- Release Date
- Rating
- Duration
- Genre (Type)
- Description
The following preprocessing steps were performed:
- Checked dataset shape and structure
- Identified missing values
- Removed duplicate records
- Converted
Release_Dateto datetime format - Converted Movie Duration into numeric values for analysis
The project answers multiple business questions such as:
- Total Movies vs TV Shows
- Top 10 Countries producing Netflix content
- Top Directors
- Distribution of Content Ratings
- Release Trend over the Years
- Longest and Shortest Movies
- Average Movie Duration
- Family-Friendly Content Trend
- Movies vs TV Shows Release Comparison
- Missing Value Analysis
- Director Analysis
- Country-wise Analysis
The project includes multiple visualizations such as:
- Bar Charts
- Line Charts
- Histogram
- Pie Chart
- Dashboard
- Movies dominate Netflix's content library compared to TV Shows.
- The United States contributes the highest number of Netflix titles.
- TV-MA is the most common content rating.
- Netflix experienced significant content growth after 2015.
- Movie durations are mostly concentrated between 90–120 minutes.
- Family-friendly content has steadily increased over the years.
- Some directors have contributed to both Movies and TV Shows.
netflix_data_analysis/
│
├── Dashboard/
│ └── netflix_dashboard.png
│
├── Netflix Dataset.csv
├── Netflix Analysis.ipynb
└── README.md
- Build an interactive dashboard using Plotly/Dash or Streamlit
- Perform Genre-wise Analysis
- Create Country-wise Heatmaps
- Analyze Actor Collaborations
- Deploy the dashboard as a web application
Amit Kumar Behera
Data Analyst Trainee | MCA Student | Python & Data Analytics Enthusiast
- GitHub: https://github.com/Amit-Behera121
- Linkedin: https://www.linkedin.com/in/amit-kumar-910981412