A Sales Dataset - Retail

Dataset Description This consists of anonymised and processed business data from the retail sector Sample from the data Date X1 X2 X3 X4 X5 X6 X7 Sales Quantity Sales Unit 01.12.2012 P1 S1 D1 O1 MD1 MG1 MC1 7992.0 PC 06.12.2012 P2 S1 D1 O2 MD3 MG2 MC2 79923.0 PC 06.12.2012 P3 S1 D1 O3 MD4 MG3 MC3 287724.0 M 02.12.2012 P2 S1 D1 O4 MD5 MG4 MC4 47954.0 PC 08.12.2012 P4 S1 D2 O5 MD3 MG5 MC5 47954.0 PC Description Variable Type Values Description Date Datetime Dec 2012 to June 2018 Date/time of sale (shifted for privacy) X7 Categorical MC1–MC2032 Product identifier X2 – X6 Categorical X1: P1-P5X2: S1–S6X3: D1–D13X4: O1–O53X5: MD1–MD5X6: MG1–MG208 Hierarchical anonymized product features:• X7 represents the exact product designation.• Each value of X7 maps uniquely to one value of X6.• Each value of X6 maps uniquely to one value of X5.• X4 represents subcategories of X2. SalesQuantity Numerical 376.0 to 500,000,000.0 Number of units sold (may be transformed) SalesUnit Categorical PC (piece) M (meter)M² (square meter)KG (kg) Unit of sale Feature hierarchy Some categorical variables follow hierarchical relationships: X5 → X6 → X7 represent increasing product detail levels. X2 → X4 represent category and subcategory levels.