Food portions sales in a canteen context

Citation Author(s):
Lucas
Woltmann
TU Dresden
Claudio
Hartmann
TU Dresden
Submitted by:
Lucas Woltmann
Last updated:
Fri, 11/25/2022 - 04:33
DOI:
10.21227/8jzz-ar98
Data Format:
*.csv
License:
Creative Commons Attribution
304 Views
Categories:
Other
Keywords:
Food computing, Ingredient Detection, analytical prediction
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Abstract 

In the catering industry, one major challenge is the unknown short-term demand for dish portions. Meeting these demands is important for the industry but predicting future sales is a challenging task.
This data set presents sales of food portions from a canteen in absolute numbers of dish portions per day. In particular, the columns include text-based extractions of ingredients and a date. The data set is intended to be used for forecasting/predicting the food portions on a daily level.

Instructions: 

The csv contains three columns: the space-separated ingredients of the dish in German, the date, and the sold portions per day and dish. The data spans over three years.

Comments

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Submitted by Oya Umac on Tue, 05/09/2023 - 07:05

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