Customer Transaction Data with Revenue and Weight

Kaggle hosts a cleaned dataset of customer transactions. It contains fields for quantity, price, revenue, and weight. The author, organization, and data volume are unknown.

Use Cases

• Calculate customer lifetime value using aggregated revenue per customer.
• Analyze price elasticity by correlating quantity sold with price.
• Model shipping costs or product bundling strategies using the weight feature.
• Segment customers based on purchase patterns derived from transaction quantity and revenue.

Strengths

• Data is described as cleaned, reducing initial preprocessing effort.
• Includes key retail metrics: quantity, price, revenue, and weight.

Limitations

• Unknown row count prevents assessment of statistical significance.
• Lack of column details limits understanding of data scope and potential joins.

Provenance

Source

Kaggle