This project involves the analysis of sales data using Pandas for data cleaning and preprocessing and Matplotlib for creating visual representations. The aim is to identify sales patterns and trends, extract meaningful business insights, and provide informative visualizations for effective decision-making.
- Data cleaning and preprocessing using Pandas
- Creating visual representations of data with Matplotlib
- Identification of sales patterns and trends
- Extraction of meaningful business insights
- Enhanced understanding of sales performance through informative visualizations
- Clone the repository
- Open the .ipynb file in jupyter notebook, or you can use google colab too.
analysis.ipynb: Main script for sales data analysis.Sales_Data: Input dataset for analysis.
- Data Cleaning and Preprocessing
- Creating Visual Representations with Matplotlib
- Identifying Sales Patterns and Trends
- Extracting Meaningful Business Insights
- Enhancing Understanding of Sales Performance