This project performs data analysis using Python in a Jupyter Notebook. It focuses on data cleaning, exploration, and visualization to extract meaningful insights.
- Python
- Pandas
- NumPy
- Matplotlib / Seaborn
The dataset contains structured data used for analysis and visualization.
- Data loading and preprocessing
- Handling missing values
- Exploratory Data Analysis (EDA)
- Data visualization using charts
- Identified trends and patterns in the dataset
- Performed statistical analysis
- Generated visual insights for better understanding
- Download the
.ipynbfile - Open in Jupyter Notebook / VS Code
- Run all cells to see the analysis