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Consumer Purchasing Patterns Data
E-commerce & Online Transactions
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Free
About
This dataset allows for the exploration of user demographics alongside their purchasing patterns. It contains detailed transaction information for users, including their age, gender, country of residence, purchase amount, purchase date, and the product category. This data is highly valuable for understanding consumer trends, assessing the impact of demographic factors on buying behaviour, and performing market segmentation.
Columns
- User ID: A unique identifier assigned to each user to track their transactions effectively.
- Age: Represents the user's age at the time of purchase, which can be a key influencer on buying decisions.
- Gender: Indicates the user's gender, enabling demographic segmentation of purchasing patterns.
- Country: Specifies the user's country of residence, useful for regional market analysis and insights.
- Purchase Amount: The total monetary value spent by the user during a particular transaction.
- Purchase Date: The date on which the purchase occurred, facilitating temporal analysis of buying behaviour.
- Product Category: Defines the category of the purchased product, aiding in the understanding of consumer preferences.
Distribution
The dataset is provided as a CSV file, with a file size of 702.85 KB. It comprises 7 columns and contains approximately 15,000 records.
Usage
This dataset is ideal for:
- Analysing consumer trends: Identify patterns and shifts in purchasing behaviour over time.
- Understanding demographic influences: Investigate how age, gender, and country affect purchasing decisions.
- Market segmentation: Divide consumer bases into distinct groups for targeted marketing and product development.
- Data analytics and visualisation: Conduct in-depth analysis and create visual representations of consumer data.
- Exploratory data analysis: Discover insights and formulate hypotheses from the raw data.
Coverage
- Geographic Scope: Includes data from multiple countries, with France and Germany each representing 16% of the records, and 6 unique countries in total.
- Time Range: Covers transactions recorded from 1st January 2020 to 31st December 2023.
- Demographic Scope: Features user ages ranging from 18 to 69 years, with approximately 90% of age data available. Gender information is provided, covering 'Female', 'Other', and additional categories, with about 95% of gender data present.
License
CC BY-NC-SA 4.0
Who Can Use It
- Data Analysts: For deep dives into purchasing data and trend identification.
- Market Researchers: To understand consumer demographics and preferences.
- Business Strategists: For informed decision-making regarding product development and marketing campaigns.
- Social Scientists: To study societal purchasing behaviour and its drivers.
- Students and Academics: For research, learning, and case studies in consumer behaviour and data science.
Dataset Name Suggestions
- User Purchase Behaviour Analysis Dataset
- Consumer Purchasing Patterns Data
- Demographic Purchase Insights Dataset
- Global Consumer Transaction Data
Attributes
Original Data Source: Consumer Purchasing Patterns Data
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