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Tobias Quadfasel 3a4bc53dcc feat(add-data): Add script to generate costumers from base data

Add `data_preparation/generate_customers.py`, a script that takes the
`base_data.json` file generated by `get_base_data.py` and randomly
samples a given number of customers.

To simplify things, each customer is assigned exactly one gas and one
electricity meter and each of them is read between 1 and 10 times.

The full data including meters, meter readings and dates as well as
customers and addresses is stored in a final JSON file named
`customers.json`.

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.docker

feat(base-app): Add docker setup

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app

feat(base-app): Add gunicorn to dependencies

2024-08-29 17:34:04 +02:00

data

feat(add-data): Add actual data used for data generation to repo

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data_preparation

feat(add-data): Add script to generate costumers from base data

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.pre-commit-config.yaml

feat(project_setup): Initialize project (#1 )

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Dockerfile

feat(base-app): Add docker setup

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poetry.lock

feat(add-data): Update pyproject.toml and poetry.lock files

2024-08-31 13:55:18 +02:00

pyproject.toml

feat(add-data): Update pyproject.toml and poetry.lock files

2024-08-31 13:55:18 +02:00

README.md

docs: Add README.md

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README.md

grid_application

Code for my application to Avacon AG for the role of Data Scientist. This is a web app containing different data science use-cases related to power grids and electricity generation.