NHS Data and Analytics Academy

Deep Dive: Data Analysis in Quiver

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Quiver is an analytical and dashboarding application within Foundry that allows you to:

  • Search and visualize time series and object data.

  • Quickly navigate the relationships between connected object types.

  • Analyze data using a wide range of no-code transformations.

  • Build and publish analyses into parameterized, interactive dashboards which can be embedded into operational applications for a broad range of users.

  • Share analyses with colleagues and discover their work with Foundry.

Through this course you'll learn the basics of navigating Quiver and updating common configurations, adding objects sets to Quiver for transforming and visualizing, and joining Objects sets together for aggregated analysis.

Course Format

E-learning

Course Length

60-90 Mins

Course Accreditation

None

Cost

Free with Palantir login

Access

Palantir login

Skills Covered

  • Perform data preparation steps, including adding and joining object sets, implementing static and parameterized filters, and update column values and data types

  • Create derived columns with point-and-click operations and formulas.

  • Create visual functions, reusable blocks of logic that simplify large analyses and improve performance.

  • Create visualizations, including bar charts, scatter charts, and Vega plots to present data effectively.

  • Build an interactive dashboard to share analysis outputs with stakeholders with dynamic interactions.

  • Embed Quiver dashboards into Workshop applications, Object Views, Carbon Workspaces, and Notepad to enhance data analysis and sharing.

Mapped to NCF

  • SA26, Federation Data Platform/Foundry - Intermediate: Operationalise workflows to enable interactive dashboards where visualisations vary dynamically (e.g., through dynamic filters or application of actions/scenario actions).

Resource details

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Contributed by: NHS Data and Analytics Academy
Authored by: Palantir, Palantir
Licence: More information on licences
First contributed: 24 March 2025
Audience access level: General user

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