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Streamlit app to clean consumption tables, detect time/consumption columns, and export a standardized final dataset.

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kubrabas/Consumption-Table-Refiner

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Consumption-Table-Refiner

Install & Run locally

1) Clone and enter the project

git clone https://github.com/kubrabas/Consumption-Table-Refiner.git
cd Consumption-Table-Refiner

2) Create & activate a virtual environment

macOS / Linux

python -m venv .venv_ctr
source .venv_ctr/bin/activate

Windows (PowerShell)

python -m venv .venv_ctr
.\.venv_ctr\Scripts\Activate.ps1

3) Install dependencies

pip install -r requirements.txt

4) Start the Streamlit app

streamlit run app.py

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Streamlit app to clean consumption tables, detect time/consumption columns, and export a standardized final dataset.

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