A collection of Python-based data analysis work focused on transforming and exploring datasets to generate meaningful insights.
- Clean and prepare datasets
- Manipulate and transform data
- Explore data patterns and trends
- Perform exploratory data analysis
- Generate meaningful visualizations
- Python
- Pandas
- NumPy
- Jupyter Notebook
- Matplotlib
The projects demonstrate practical application of Python for:
- Data cleaning
- Data transformation
- Filtering and indexing
- Grouping and aggregation
- Exploratory data analysis
- Data visualization
Python • Pandas • NumPy • Data Cleaning • Exploratory Data Analysis • Data Manipulation • Data Visualization