This *intermediate* level data set has 60 rows and 13 columns.
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.
This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **regression modelling techniques**.
It also allows you to practice with large number of features. Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
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### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Daily Demand Forecasting Orders Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Daily+Demand+Forecasting+Orders).
The UCI page mentions the following publication as the original source of the data set:
*Ferreira, R. P., Martiniano, A., Ferreira, A., Ferreira, A., & Sassi, R. J. (2016). Study on daily demand forecasting orders using artificial neural network. IEEE Latin America Transactions, 14(3), 1519-1525*
