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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

GolfCoursePOS

tags: customer behavior, green fees, revenue analysis

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'GolfCoursePOS' dataset is designed to assist an ML practitioner in understanding customer behavior and revenue streams on a golf course. This dataset includes transactional data from various service areas such as the pro shop, food and beverage, golf lessons, and green fees. It is intended to provide insights into sales patterns, customer preferences, and financial performance, aiding in targeted marketing strategies and business growth. The dataset includes purchase amounts, item categories, transaction timestamps, and customer IDs, among other relevant data points.

CSV Content Preview:

timestamp,customer_id,customer_type,purchase_category,item_description,amount,label
2023-04-01T09:00:00,001,member,pro_shop,golf_club set,249.99,ProShopPurchase
2023-04-01T09:15:00,002,non_member,food_beverage,sandwich,8.50,FoodBeveragePurchase
2023-04-01T09:30:00,003,member,lessons,practice_round,30.00,LessonPurchase
2023-04-01T10:00:00,004,non_member,green_fees,round_of_18,50.00,GreenFeesPurchase
2023-04-01T10:30:00,001,member,food_beverage,iced_tea,3.25,FoodBeveragePurchase

This CSV preview provides a glimpse into the kind of data available in the 'GolfCoursePOS' dataset. Each row represents a single transaction with a timestamp, customer identifier, customer type (member or non-member), the category of the purchase, the description of the purchased item, the amount spent, and a label that could be used for supervised learning tasks such as customer segmentation or sales forecasting. The labels are creatively labeled to avoid reusing the query keywords and to provide a fresh perspective for data analysis.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'golfcourse pos data incuding pro shop purchases, food and beverage, lessons, and green fees':