IDC User Guide
  • Welcome!
  • 🚀Getting started
  • Core functions
  • Frequently asked questions
  • Support
  • Key pointers
  • Publications
  • IDC team
  • Acknowledgments
  • Jobs
  • Data
    • Introduction
    • Data model
    • Data versioning
    • Organization of data
      • Files and metadata
      • Resolving CRDC Globally Unique Identifiers (GUIDs)
      • Clinical data
      • Organization of data, v2 through V13 (deprecated)
        • Files and metadata
        • Resolving CRDC Globally Unique Identifiers (GUIDs)
        • Clinical data
      • Organization of data in v1 (deprecated)
    • Downloading data
      • Downloading data with s5cmd
      • Directly loading DICOM objects from Google Cloud or AWS in Python
    • Data release notes
    • Data known issues
  • Tutorials
    • Portal tutorial
    • Python notebook tutorials
    • Slide microscopy
      • Using QuPath for visualization
  • DICOM
    • Introduction to DICOM
    • DICOM data model
    • Original objects
    • Derived objects
      • DICOM Segmentations
      • DICOM Radiotherapy Structure Sets
      • DICOM Structured Reports
    • Coding schemes
    • DICOM-TIFF dual personality files
    • IDC DICOM white papers
  • Portal
    • Getting started
    • Exploring and subsetting data
      • Configuring your search
      • Exploring search results
      • Data selection and download
    • Visualizing images
    • Proxy policy
    • Viewer release notes
    • Portal release notes
  • API
    • Getting Started
    • IDC API Concepts
    • Manifests
    • Accessing the API
    • Endpoint Details
    • V1 API
      • Getting Started
      • IDC Data Model Concepts
      • Accessing the API
      • Endpoint Details
      • Release Notes
  • Cookbook
    • Colab notebooks
    • BigQuery
    • Looker dashboards
      • Dashboard for your cohort
      • More dashboard examples
    • ACCESS allocations
    • Compute engine
      • 3D Slicer desktop VM
      • Using a BQ Manifest to Load DICOM Files onto a VM
      • Using VS Code with GCP VMs
      • Security considerations
    • NCI Cloud Resources
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  1. Cookbook

Looker dashboards

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Last updated 3 months ago

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is a free tool that turns your data into informative, easy to read, easy to share, and fully customizable dashboards and reports.

If you would like to share an interesting Looker Studio dashboard that uses IDC/cloud for imaging research, please let us know and we would be happy to review and reference it from the IDC documentation!

In this section you can learn how to very quickly make a custom Looker Studio dashboard to explore the content of your cohort, and find some additional examples of using Looker Studio for analyzing content of IDC.

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