Daily Demand Forecasting Orders

Donated on 11/20/2017

The dataset was collected during 60 days, this is a real database of a brazilian logistics company.

Dataset Characteristics

Time-Series

Subject Area

Business

Associated Tasks

Regression

Feature Type

Integer

# Instances

60

# Features

-

Dataset Information

Additional Information

The database was collected during 60 days, this is a real database of a Brazilian company of large logistics. Twelve predictive attributes and a target that is the total of orders for daily. treatment

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 13

Additional Variable Information

The dataset was collected during 60 days, this is a real database of a brazilian logistics company. The dataset has twelve predictive attributes and a target that is the total of orders for daily treatment. The database was used in academic research at the Universidade Nove de Julho. .arff header for Weka: @relation Daily_Demand_Forecasting_Orders @attribute Week_of_the_month {1.0, 2.0, 3.0, 4.0, 5.0} @attribute Day_of_the_week_(Monday_to_Friday) {2.0, 3.0, 4.0, 5.0, 6.0} @attribute Non_urgent_order integer @attribute Urgent_order integer @attribute Order_type_A integer @attribute Order_type_B integer @attribute Order_type_C integer @attribute Fiscal_sector_orders integer @attribute Orders_from_the_traffic_controller_sector integer @attribute Banking_orders_(1) integer @attribute Banking_orders_(2) integer @attribute Banking_orders_(3) integer @attribute Target_(Total_orders) integer @data

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Creators

Ricardo Ferreira

Andrea Martiniano

Arthur Ferreira

Aleister Ferreira

Renato Sassi

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