Shopping Behaviour Analytics Dashboard

An interactive multi-page analytics dashboard that explores customer shopping patterns, purchase trends, and demographic insights — built with Streamlit and Plotly.

Features

• 📊 KPI Metrics — Total revenue, average purchase value, total purchases, active categories
• 🔍 Real-time Sidebar Filters — filter by product category, gender, and age range simultaneously
• 📈 Category & Trends Tab — bar chart of purchases by category + age-based spending line chart
• 🎯 Demographic Analysis Tab — scatter plot of age vs. spending by gender with OLS trendline
• 💳 Deep Dive Analysis — payment method breakdown (pie) + shopping frequency distribution (histogram)
• 📄 Raw Data View — filtered dataset table

Tech Stack

Python Streamlit Plotly Express Plotly Graph Objects Pandas

Run Locally

pip install streamlit pandas plotly
streamlit run app.py

Dataset

• shopping_behaviour.csv — customer purchase records with fields: Age, Gender, Category, Item Purchased, Purchase Amount (USD), Payment Method, Frequency of Purchases

Author

Rishi Raj · MCA, CHRIST (Deemed to be University)