alexander/urban-meal-delivery
1
1
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity Actions

Add info about the data cleaning

Browse source
This commit is contained in:
Alexander Hess 2020-09-30 13:43:00 +02:00
parent 6333f1af1e
commit 6d9e5ffcef
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
1 changed files with 18 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

20
README.md
View file

@ -1,7 +1,7 @@
# Urban Meal Delivery
This repository holds code
analyzing the data of an undisclosed urban meal delivery platform
analyzing the data of an undisclosed urban meal delivery platform (UDP)
operating in France from January 2016 to January 2017.
The goal is to
optimize the platform's delivery process involving independent couriers.
@ -9,9 +9,25 @@ optimize the platform's delivery process involving independent couriers.
## Structure
The analysis is structured into three aspects
The analysis is structured into the following stages
that iteratively build on each other.
### Data Cleaning
The UDP provided its raw data as a PostgreSQL dump.
This [notebook](https://nbviewer.jupyter.org/github/webartifex/urban-meal-delivery/blob/main/notebooks/00_clean_data.ipynb)
cleans the data extensively
and maps them onto the [ORM models](https://github.com/webartifex/urban-meal-delivery/tree/main/src/urban_meal_delivery/db)
defined in the `urban-meal-delivery` package
that is developed in the [src/](https://github.com/webartifex/urban-meal-delivery/tree/main/src) folder
and contains all source code to drive the analyses.
Due to a non-disclosure agreement with the UDP,
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/main/notebooks) folders.
### Real-time Demand Forecasting
### Predictive Routing