Reusable Script for Periodic Sales Analysis. Python + Jupyter Notebook

This project demonstrates how to complete a data analysis project from scratch using Python libraries and Jupyter Notebook or Google Colab.

This notebook contains analysis of global video game sales to help studios make decisions for the next best top selling video game

Welcome to the Sales Analysis project! Explore comprehensive sales data analysis using Python and Jupyter Notebook. Gain insights into monthly sales, city-wise performance, and optimal advertisement timing. Discover key patterns through visualizations and detailed documentation.

Making use of publically available data, I have performed Sales analysis across three different domains - Lifestyle, Merchandise and Electronics. The Jupyter Notebook contains all the code with proper documentation. The final report comprises of all the results.

This project involved a comprehensive analysis of a phone sales dataset, performed in Jupyter Notebooks using Python and libraries such as Pandas, NumPy, and Matplotlib. The analysis included data cleaning, handling missing values, and calculating KPIs. Necessary visualization techniques were also employed to illustrate trends and relationships.