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Details-of-Dataset.md

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Here's a detailed info about the dataset:

Base Dataset

eShopDashboardML dataset is based on a public Online Retail Dataset from UCI: http://archive.ics.uci.edu/ml/datasets/online+retail

Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197 - 208, 2012 (Published online before print: 27 August 2012. doi: 10.1057/dbm.2012.17).

This dataset has several attributes:

  • nvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter 'c', it indicates a cancellation.
  • StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product.
  • Description: Product (item) name. Nominal.
  • Quantity: The quantities of each product (item) per transaction. Numeric.
  • InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated.
  • UnitPrice: Unit price. Numeric, Product price per unit in sterling.
  • CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer.
  • Country: Country name. Nominal, the name of the country where each customer resides.

eShopDashboardML datasets:

Based on previous dataset we generated two new transformed and simpler datasets.

countries.stats

  • next : next month units sold
  • prev : previous month units sold
  • max : max items sold in a day of month
  • min : min items sold in a day of month
  • med : average of items sold per day
  • …

products.stats

  • next : next month units sold
  • prev : previous month units sold
  • max : max items sold in a day of month
  • min : min items sold in a day of month
  • avg : average of items sold per day
  • …