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Move notebooks into the research folder

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Alexander Hess 2020-12-14 16:56:27 +01:00
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@ -16,7 +16,7 @@ that iteratively build on each other.
### Data Cleaning ### Data Cleaning
The UDP provided its raw data as a PostgreSQL dump. The UDP provided its raw data as a PostgreSQL dump.
This [notebook](https://nbviewer.jupyter.org/github/webartifex/urban-meal-delivery/blob/develop/notebooks/00_clean_data.ipynb) This [notebook](https://nbviewer.jupyter.org/github/webartifex/urban-meal-delivery/blob/develop/research/clean_data.ipynb)
cleans the data extensively cleans the data extensively
and maps them onto the [ORM models](https://github.com/webartifex/urban-meal-delivery/tree/develop/src/urban_meal_delivery/db) and maps them onto the [ORM models](https://github.com/webartifex/urban-meal-delivery/tree/develop/src/urban_meal_delivery/db)
defined in the `urban-meal-delivery` package defined in the `urban-meal-delivery` package
@ -25,7 +25,7 @@ and contains all source code to drive the analyses.
Due to a non-disclosure agreement with the UDP, Due to a non-disclosure agreement with the UDP,
neither the raw nor the cleaned data are published as of now. neither the raw nor the cleaned data are published as of now.
However, previews of the data can be seen throughout the [notebooks/](https://github.com/webartifex/urban-meal-delivery/tree/develop/notebooks) folders. However, previews of the data can be seen throughout the [research/](https://github.com/webartifex/urban-meal-delivery/tree/develop/research) folder.
### Real-time Demand Forecasting ### Real-time Demand Forecasting

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notebooks/00_clean_data.ipynb → research/clean_data.ipynb
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