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Customer Shopping Habits in Istanbul Malls
Retail & Consumer Behavior
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About
This dataset offers insights into customer shopping habits in Istanbul, Turkey. It comprises retail transaction data collected from ten different shopping malls across Istanbul between 2021 and 2023. The dataset includes diverse customer demographics, such as age and gender, alongside essential transaction details like invoice numbers, customer IDs, payment methods, product categories, quantities, prices, order dates, and the specific shopping mall locations. This resource is designed to assist researchers, data analysts, and machine learning enthusiasts in uncovering key shopping trends and patterns within Istanbul's retail landscape.
Columns
invoice_no: An invoice number, a nominal value formed by 'I' followed by a six-digit integer, unique to each transaction.customer_id: A customer identification number, nominal, comprising 'C' and a six-digit integer, unique to each operation.gender: A string variable indicating the customer's gender (e.g., Female, Male).age: A positive integer representing the customer's age, ranging from 18 to 69.category: A string variable defining the category of the purchased product (e.g., Clothing, Cosmetics). There are 8 unique categories.quantity: The numerical quantity of each product item within a transaction, ranging from 1 to 5.price: The unit price of the product in Turkish Liras (TL), a numeric value.payment_method: A string variable specifying the payment method used for the transaction (Cash, Credit Card, or Debit Card).invoice_date: The date when a transaction was generated.shopping_mall: A string variable indicating the name of the shopping mall where the transaction took place. There are 10 unique shopping malls.
Distribution
The dataset is provided in CSV format and is approximately 7.54 MB in size. It contains 99,457 records (rows) and 10 columns.
Usage
This dataset is ideal for:
- Conducting market basket analysis to identify product associations.
- Exploring customer segmentation based on shopping behaviour, age, and gender.
- Analysing retail sales trends over time and across different shopping malls.
- Developing and testing machine learning models for sales forecasting or customer behaviour prediction.
- Gaining insights into the most popular product categories and payment methods.
Coverage
- Geographic Scope: Istanbul, Turkey, covering transactions from 10 distinct shopping malls.
- Time Range: Data collected between 2021 and 2023.
- Demographic Scope: Includes data from various age groups (18-69) and genders (approximately 60% Female, 40% Male).
License
CC0: Public Domain.
Who Can Use It
- Researchers interested in consumer behaviour, retail economics, or urban studies.
- Data Analysts seeking to understand sales performance, customer preferences, and market trends.
- Machine Learning Enthusiasts looking for real-world transaction data to build predictive models.
- Business Strategists aiming to inform retail strategies and marketing campaigns in similar markets.
Dataset Name Suggestions
- Istanbul Customer Shopping Trends 2021-2023
- Istanbul Retail Transaction Data
- Customer Shopping Habits in Istanbul Malls
- Istanbul Sales & Customer Demographics
- Turkish Shopping Mall Retail Data
Attributes
Original Data Source: Customer Shopping Habits in Istanbul Malls
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