This project will examine consumer shopping trends and purchase behaviors using the Customer Shopping (Latest Trends) Dataset. The analysis will focus on uncovering patterns in retail purchasing across various product categories, customer demographics, and purchase channels.
“Consumer Shopping Trends: Insights into Purchase Behavior and Patterns”
URL: https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset/data
License Community Data License Agreement - Sharing - Version 1.0
Expected update frequency Quarterly
Tags Business, Clothing and Accessories, Data Visualization, Science and Technology, Global
The dataset offers a comprehensive view of consumer shopping trends, aiming to uncover patterns and behaviors in retail purchasing. It contains detailed transactional data across various product categories, customer demographics, and purchase channels. Key features may include:
Customer Demographics: Customer ID, Age, Gender, Location
Transaction Details: Item Purchased, Category, Purchase Amount (USD), Size, Color, Season
Purchase Behavior: Review Rating, Subscription Status, Payment Method, Shipping Type
Promotional Information: Discount Applied, Promo Code Used
Customer History: Previous Purchases, Preferred Payment Method, Frequency of Purchases
Total Rows: 3,900
Total Columns: 19
Column Names: Customer ID, Age, Gender, Item Purchased, Category,
Purchase Amount (USD), Location, Size, Color, Season, Review Rating,
Subscription Status, Payment Method, Shipping Type, Discount Applied,
Promo Code Used, Previous Purchases, Preferred Payment Method, Frequency
of Purchases
Based on the available data, here are three proposed figures that could provide valuable insights into consumer shopping trends:
Bar Chart: Distribution of purchases across different product categories, highlighting the most popular categories.
Stacked Bar Chart: Breakdown of purchase amounts by gender and age group, showing spending patterns across demographics.
Line Plot: Seasonal trends in purchase amounts over time, revealing peak shopping periods and potential cyclical patterns.