iatharva26 / diwali_sales_analysis

Diwali_Sales_Analysis: Exploratory Data Analysis of sales data during the Diwali festival. The repository includes Python code for data cleaning, visualization, and statistical analysis to uncover trends and patterns in sales data, providing valuable insights for business decision-making.

Diwali Sales Analysis

This repository contains the code and data for performing Exploratory Data Analysis (EDA) on sales data during the Diwali festival. The analysis aims to uncover insights and trends in sales patterns during this festive season.

Data

The data used in this analysis includes sales data during the Diwali festival. It contains information such as sales amount, date of sale, product category, and location of sale.

Analysis

The analysis includes data cleaning, visualization, and statistical analysis techniques to explore the sales data. Some of the key aspects covered in the analysis are:

• Trends in sales over time
• Sales distribution across different product categories
• Impact of location on sales performance
• Seasonal effects on sales during Diwali

Tools

The analysis is performed using Python programming language and libraries such as Pandas, Matplotlib, and Seaborn for data manipulation and visualization.

Usage

To replicate the analysis, clone this repository and run the Jupyter notebook Diwali_Sales_Analysis.ipynb.

Conclusion

The analysis provides valuable insights into sales patterns during the Diwali festival, which can be used by businesses to optimize their sales strategies and offerings during this festive season.

Feel free to explore the code and data in this repository to gain a deeper understanding of sales dynamics during Diwali.