- Maria Sol Tadeo, World Bank Group (mtadeo@worldbank.org)
- Abril Rodriguez, World Bank Group (arodriguez12@worldbank.org)
For questions, suggestions, or feedback, please contact datapartnership@worldbank.org
In this session we will teach how to work with Waze Jams dataset. First, we will go over on how to perform a EDA on the data and present cases with anomalies. Secondly, we will show how to build maps of jams and the challenges of them.
- Intended audience: team/staff profile
- Prerequisites: domain knowledge, Python basics, GitHub basics
- Access requirements: dataset access, credentials, approvals
- Choose your setup path:
- GitHub Codespaces (recommended): open the repository on GitHub and create a Codespace. No local clone is required.
- Local environment: clone this repository to your machine.
- Install dependencies.
- Run the notebooks in the suggested order.
See docs/github-codespaces-setup.md for a step-by-step Codespaces setup guide.
Add any guidance on sensitive data handling, confidentiality, and sharing restrictions relevant to this training.
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This repository is licensed under the MIT License together with the World Bank IGO Rider. Update LICENSE if you need a different license.