Hierarchical Sales Data
Donated on 7/2/2021
This dataset contains hierarchical sales data gathered from an Italian grocery store
Dataset Characteristics
Time-Series
Subject Area
Engineering
Associated Tasks
Clustering, Other
Feature Type
-
# Instances
1798
# Features
237
Dataset Information
Additional Information
The dataset consists of 118 daily time series representing the SKU-level sales from 01/01/2014 to 31/12/2018 of 4 national pasta brands. Besides univariate time series data, the quantity sold is integrated by information on the presence or the absence of a promotion. These time series can be naturally arranged to follow a 3-level hierarchical structure (see https://www.sciencedirect.com/science/article/pii/S0957417421005431). - QTY_B'X'_'Y' - the quantity sold for brand 'X' item 'Y' - PROMO_B'X'_'Y' - the promotion flag for brand 'X' and item 'Y'
Has Missing Values?
No
Introductory Paper
By Paolo Mancuso, Veronica Piccialli, Antonio M. Sudoso. 2021
Published in Journal
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| QTY_B2_3 | Feature | Integer | no | ||
| QTY_B2_4 | Feature | Integer | no | ||
| QTY_B2_5 | Feature | Integer | no | ||
| QTY_B2_6 | Feature | Integer | no | ||
| QTY_B2_7 | Feature | Integer | no | ||
| QTY_B2_8 | Feature | Integer | no | ||
| QTY_B2_9 | Feature | Integer | no | ||
| QTY_B2_10 | Feature | Integer | no | ||
| QTY_B2_11 | Feature | Integer | no | ||
| QTY_B2_12 | Feature | Integer | no |
0 to 10 of 237
Dataset Files
-
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset hierarchical_sales_data = fetch_ucirepo(id=611) # data (as pandas dataframes) X = hierarchical_sales_data.data.features y = hierarchical_sales_data.data.targets # metadata print(hierarchical_sales_data.metadata) # variable information print(hierarchical_sales_data.variables)
Mancuso, P., Piccialli, V., & Sudoso, A. (2021). Hierarchical Sales Data [Dataset]. UCI Machine Learning Repository. https://doi.org/10.17632/njdkntcpc9.1.
Keywords
Creators
Paolo Mancuso
paolo.mancuso@uniroma2.it
University of Rome Tor Vergata
Veronica Piccialli
veronica.piccialli@uniroma2.it
University of Rome Tor Vergata
Antonio M. Sudoso
antonio.maria.sudoso@uniroma2.it
University of Rome Tor Vergata
Notes
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.