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  • Data Services Documentation

Analysts

  • Welcome!
    • Cal-ITP Project Information
    • How We Work
  • Technical Onboarding
  • Introduction to Analytics Tools
    • GitHub Setup
    • Tools Quick Links
    • Business Insights & Dashboards
    • JupyterHub
    • Local Oracle Database Connections
    • Useful Python Libraries
    • Scripts
    • RT Analysis Module (Legacy)
    • Saving Code
    • Storing Data During Analysis
    • Using Data Catalogs
    • Helpful Links
  • Tutorials for New Python Users
    • Data Analysis: Intro
    • Data Analysis: Intermediate
    • Data Management
    • Working with Jupyter notebooks
    • Working with Geospatial Data: Basics
    • Working with Geospatial Data: Intro
    • Working with Geospatial Data: Intermediate
    • Working with Geospatial Data: Advanced
  • Introduction to the Warehouse
    • Warehouse: Where to Begin
    • Navigating the dbt Docs
    • What is an agency?
    • Developing models in dbt
    • Adding Ad-Hoc Data to the Warehouse
    • What is GTFS, anyway?
  • Where can I publish data?
    • Data Publishing Principles
    • Static Visualizations
    • HTML Visualizations
    • Getting Notebooks Ready for the Portfolio
    • The Cal-ITP Analytics Portfolio
    • Metabase
    • GCS
    • Publishing data to California Open Data aka CKAN
    • Publishing data to California State Geoportal

Developers

  • Architecture Overview
    • Deployed Services and Sites
    • Published Images and Packages
    • Data pipelines
  • Airflow Operational Considerations
  • Transit Database (Airtable)

Contribute to the Docs!

  • Getting Started
    • Best Practices
    • Submitting Changes
    • Common Content
  • Repository
  • Open issue

Index

By Cal-ITP

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