This project demonstrates end-to-end sales data analysis using Python, SQL, Pandas, and Matplotlib. It covers basic programming, database queries, data manipulation, and visualization.
This project analyzes weather data (Temperature, Humidity, Rainfall) for multiple Indian cities using R programming. The tasks include data import, cleaning, manipulation, analysis, and visualization.
This repository contains SQL scripts for managing projects, tasks, team members, datasets, and model training details. It includes table creation, sample data, and solutions to complex SQL queries using CTEs, subqueries, and window functions.
This project focuses on cleaning, analyzing, and visualizing sales data to extract meaningful business insights. Using Python (Pandas, Matplotlib), we process raw sales data and generate both textual summaries and visual charts.
It performs the following analysis: 1. Calculates Total Sales = Quantity × Price 2. Finds the top 3 products by sales amount 3. Groups data by Product and shows total revenue per product 4. Finds the highest sales day 5. Plots a bar chart of product-wise revenue