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Seasonal Holiday Expenditure and Customer Profile Data
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About
Capturing the spirit of affection and commercial trends during the midpoint of February, these records provide a detailed look at consumer choices regarding flowers, chocolates, and romantic dinners. By examining the intersection of personal demographics and financial status, the data helps clarify why certain individuals engage in gift-giving traditions while others do not. This information serves as a foundation for understanding the seasonal market dynamics that drive one of the most significant cultural events for the retail and hospitality sectors.
Columns
- Customer ID: A unique identifier assigned to each individual participant in the record set.
- Gender: The biological sex of the customer, categorised as male or female.
- Age: The age of the customer in years, representing a wide range of adult consumers from 18 to 60.
- Location: The type of residential area where the customer is based, including categories such as Arban and Semi Arban.
- EstimatedIncome: The calculated annual salary or income level of the individual, ranging from 15,000 to 150,000.
- Purchased: A binary indicator signifying whether the customer completed a gift purchase for Valentine’s Day.
Distribution
The information is provided in a single CSV file titled
Valentine_Gift_Purchase.csv with a compact file size of approximately 14.51 kB. It contains 420 valid records across 6 distinct columns. The collection shows high integrity, with 100% validity for gender and customer ID fields and minimal missing values in age and location categories. Updates to this collection are expected to occur on a quarterly basis.Usage
This resource is ideal for training predictive models to determine the likelihood of a purchase based on demographic variables and income levels. It is well-suited for retail businesses looking to optimise their seasonal marketing campaigns or for researchers studying the correlation between salary and discretionary spending on holidays. Additionally, analysts can use the data to segment audiences for targeted promotional offers based on residential location.
Coverage
The scope includes adult consumers between the ages of 18 and 60, with an average age of approximately 38 years. Geographically, the data captures individuals from varied environments, specifically highlighting those in Arban and Semi Arban locations. It focuses on consumer behaviour observed during the February Valentine's Day period, reflecting a diverse range of income brackets.
License
CC0: Public Domain
Who Can Use It
Marketing strategists can leverage these records to refine customer acquisition plans for seasonal gift-giving events. Data scientists may utilise the trends to develop and test classification algorithms for consumer behaviour. Furthermore, retail managers can use the insights to better understand their core demographic and adjust inventory levels based on predicted purchasing habits.
Dataset Name Suggestions
- Valentine's Day Consumer Purchase Trends
- Gift Buying Habits and Demographic Index
- Seasonal Holiday Expenditure and Customer Profile Data
- Valentine's Day Retail Behaviour and Income Metrics
- Consumer Demographic and Gift Acquisition Registry
Attributes
Original Data Source: Seasonal Holiday Expenditure and Customer Profile Data
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