Qt application to transform raw tables into clean geographic data.
Project description
Geo-Importer
Geo-Importer is a lightweight desktop application built with PySide6 for importing, cleaning and georeferencing statistical tables.
Installation
Install from PyPI:
pip install geo-importer
Quick Start
Launch the application:
geo-importer
Or from Python:
import geo_importer
geo_importer.main()
Then:
- Upload your Excel, CSV or PDF file
- Select table region (PDF) or worksheet (Excel)
- Clean and prepare columns in the DataPrep view
- Filter which statistics to include
- Load and filter geodata (choose type, version, level)
- Automatically map statistics to regions (exact, prefix, fuzzy, regex)
- Manually adjust any unmatched records
- Preview on an interactive Folium map
- Export your matched data as CSV or GeoJSON
Features
- Multi-format support: Excel (.xls/.xlsx), CSV, PDF
- Interactive table cleaning with transpose, undo/redo, cut/copy/paste
- Flexible automatic matching: exact, prefix, fuzzy (RapidFuzz), regex
- Built-in geodata: NUTS (0–3), LAU, LOR — select version and level
- Live preview on a Folium map (gradient or categorical coloring)
- One-click export to CSV or GeoJSON
Documentation
Full documentation is available at: https://frievoe97.github.io/geo-importer/latest/
License
Distributed under the MIT License. See the LICENSE file for details.
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