In this research, author used personal computer or laptop with hardwares spesification described below:
- Processor AMD A8 – 7410
- Memory 4GB
- VGA Radeon (TM) R5 Graphics
And several softwares:
- Operating system Microsoft Windows Pro 10 (64-bit) and Ubuntu Bionic Breaver
- R with packages dplyr, DT, ggplot2
- Microsoft Excel 2016 as tools for data editor, data merging, and data transforming
For this analysis, we use Online Retail Data
| No. | Variable Name | Type | Information |
|---|---|---|---|
| 1 | InvoiceNo | Character | Product purchase number listed payment receipt at online retail stores |
| 2 | StockCode | Character | Product codes that found at online retail stores |
| 3 | Description | Character | Description of the stock codes or product name that found at online retail stores |
| 4 | Quantity | Numeric | The number of customer purchases (unit) |
| 5 | InvoiceDate | Date | Purchase date |
| 6 | UnitPrice | Numeric | Product prices |
| 7 | CustomerID | Factor | Customer ID registered at an online retail store |
| 8 | Country | Factor | The country customer that makes a purchase for a product at an online retail store |