🚀 Sales Analysis System

🔥 Build a complete Real Sales Analysis Project using Python, Pandas & Streamlit in just 45 minutes (One Shot)!

📌 Part of: Super Sunday Project Series 🚀
👉 New project every Sunday
👉 Learn by building real-world projects

Watch Video : https://youtu.be/v97xEEqj1MY?si=9_WpIZG6AlgS96li

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🎥 Project Preview

A sleek, interactive Sales Data Analytics Dashboard built with Python and Streamlit. This application allows users to upload retail CSV files and instantly generate insights regarding revenue, product performance, and regional sales.

✨ Features

• 📁 Instant CSV Analysis: Upload any sales data CSV and get immediate processing.
• 📈 Key Metrics (KPIs): Real-time display of Total Revenue, Best Selling Product, and Highest Revenue Product.
• 🏙️ City-wise Sales: Breakdown of performance across different geographical locations.
• 🏷️ Category Insights: Pivot tables showing revenue generated per product category.
• 🏆 Top Product Finder: Dynamic slider to view the "Top N" products based on either quantity sold or total revenue.
• 🔍 Advanced Filtering: Deep dive into data by filtering for specific categories and minimum revenue thresholds.
• 🎨 Custom UI: Features a modern, tab-based navigation layout with custom CSS styling.

🔗 Live Demo

Check out the live application here:
👉 Sales Analysis Dashboard

📸 Preview

Best Product

Filters

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🚀 Getting Started

Prerequisites

• Python 3.8+
• pip (Python package manager)

Installation

1. Clone the repository:

git clone https://github.com/YOUR_USERNAME/sales-analysis-system.git
cd sales-analysis-system

2. Install dependencies:

pip install streamlit pandas

3. Run the application:

streamlit run app.py

📊 Data Format

To use this system, ensure your CSV file contains the following columns:

• Product
• Category
• Quantity
• Price
• Date
• City

🛠️ Tech Stack

• Frontend/Hosting: Streamlit
• Data Manipulation: Pandas
• Styling: Custom CSS & HTML Injection

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Developed by Study Trigger