https://github.com/googlemaps-samples/insights-samples
https://github.com/googlemaps-samples/insights-samples
Last synced: 5 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/googlemaps-samples/insights-samples
- Owner: googlemaps-samples
- License: apache-2.0
- Created: 2025-09-08T18:09:23.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2026-05-08T12:39:22.000Z (2 months ago)
- Last Synced: 2026-05-08T13:39:33.206Z (2 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 4.3 MB
- Stars: 14
- Watchers: 2
- Forks: 9
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
README
# Insights samples
This repository contains samples for the Insights products from Google Maps Platform.
You can learn more about the products on the [product page](https://mapsplatform.google.com/maps-products/geospatial-analytics).
### Street View Insights
[Docs](https://developers.google.com/maps/documentation/imagery-insights)
### Places Insights
[Docs](https://developers.google.com/maps/documentation/placesinsights) | [Demo](https://mapsplatform.google.com/demos/places-insights/)
### Roads Management Insights
[Docs](https://developers.google.com/maps/documentation/roads-management-insights) | [Demo](https://google-rmi-demo-1024202510105.us-central1.run.app/)
### Population Dynamics Insights
[Docs](https://developers.google.com/maps/documentation/population-dynamics-insights)
## Available Recipe Collections
* [`places_insights/`](places_insights/): Samples for analyzing the Places Insights BigQuery dataset.
* [`notebooks/`](places_insights/notebooks/): Example Google Colab notebooks for querying the dataset and visualizing the results.
* [`custom_location_scores/`](places_insights/notebooks/custom_location_scores/): Combines Places Insights data with BigQuery `AI.GENERATE` (Gemini) to calculate and visualize AI-powered suitability scores for real estate listings based on a specific user persona.
* [`nevada_site_selection/`](places_insights/notebooks/nevada_site_selection/): Demonstrates a multi-stage site selection workflow for a new coffee shop in Las Vegas, combining competitor analysis, commercial suitability scoring, and target market density on an interactive map.
* [`sample_data_demo/`](places_insights/notebooks/sample_data_demo/): A technical introduction demonstrating how to query, aggregate, and visualize Places Insights data in BigQuery using Standard SQL, Python, and the H3 grid system to analyze commercial density across global cities.
* [`spot_check_results/`](places_insights/notebooks/spot_check_results/): Illustrates a workflow for spot-checking analytical data by combining H3 density aggregations with the Place Details API to visualize both statistical hotspots and individual locations on an interactive map.
* [`places-insights-demo/`](places_insights/places-insights-demo/): Source code for an interactive JavaScript web application demo.
* [`sample_queries/`](places_insights/sample_queries/): Sample SQL queries for aggregating location data directly in BigQuery.
* [`roads_management_insights/`](roads_management_insights/): Recipes for insights related to roads management.
* [`route_registration_from_csv/`](roads_management_insights/route_registration_from_csv/): A Python script to create routes in Google Roads API from a CSV file.
* [`street_view_insights/`](street_view_insights/): Recipes for insights from imagery data.
## License
This project is licensed under the Apache License 2.0 - see the [`LICENSE`](LICENSE) file for details.
## Code of Conduct
This project has adopted the [Google Open Source Community Guidelines](CODE_OF_CONDUCT.md).
## Security
See [`SECURITY.md`](SECURITY.md) for details on how to report security vulnerabilities.
## Contributing
See [`CONTRIBUTING.md`](CONTRIBUTING.md) for details on how to contribute to this project.