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  • Introduction
  • Getting Started
    • Quick Start
    • Concept (Further reading)
      • Why did we a choose Block Editor over Cell-based Editor?
  • Connect and Manage Data
    • Connection
      • Sync Table Metadata
    • Supported Warehouses
      • BigQuery
      • Snowflake
      • Other Warehouses
    • Catalog
    • Search
  • Data Exploration
    • Data Exploration Overview
    • Notebook
      • Doc Page
      • Grid Page
      • SQL Block
      • Version
      • Notebook FAQ
    • Chart
    • Explorer
    • Parameter
    • (Appendix) Cache
  • AI Assist
    • SQL Assistant
  • Sharing
    • Sharing Overview
    • Teamspace
    • Shared Notebook
    • Report
    • Public Link
    • Signed Embed
      • How to Set Up Signed Embed
  • Account Management
    • Account
    • Account Settings
  • Workspace & User Management
    • Workspace
  • User Management
    • Invitation
    • Group
  • Security
    • Security Overview
  • Audit logs
  • IP Access Control
  • Access control
    • Access Control Overview
    • Access Control for Workspace
    • Access Control for Resources
      • Access Control for Group
      • Access Control for Teamspace
      • Access Control for Notebook
      • Access Control for Connection
      • Access Control for Report
  • [Under Construction] Plan and Billing
    • Limit and usage
    • Downgrade and cancel
  • Best Practices
    • Advanced Control Structures in SQL
  • Other considerations
    • System requirements
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Reference

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  • JP Docs Site
On this page
  • Key Features
  • Where Explorer is Available
  • Uses the Memory on Your Browser if the Number of Rows is 1000 or Fewer

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  1. Data Exploration

Explorer

Drag-and-drop and spreadsheet-like UI to easily filter, extract, aggregate, and modify data without coding.

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Last updated 7 months ago

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Explorer allows you to perform common data transformations via a graphical user interface while viewing the data. Explorer can be used on the execution results of the SQL Block or Charts in Notebook and Reports.

Key Features

  • Spreadsheet-like UI and Drag-and-drop UI:

    • Sort, filter, and select values from column headers just as in a spreadsheet.

    • Select fields, apply filters, and sort data using drag-and-drop.

  • Aggregation:

    • Perform simple aggregations (Group by) using drag-and-drop.

  • Field Statistics:

    • Check statistical information from column headers.

  • Chart Recommendation:

    • Generate recommended charts based on the type and form of the operation results.

Where Explorer is Available

Since Explorer interacts directly with the original data, it’s available only in certain contexts.

  • Notebook (DocPage/GridPage)

  • Report

    • When “Allow Explore and Parameter Editing” is selected in the Query Execution Option

Please refer to this section for further details.

Uses the Memory on Your Browser if the Number of Rows is 1000 or Fewer

If the number of rows in the table or execution result targeted by Explorer is 1000 or fewer, the transformations are performed on the user's browser by default without issuing jobs to the Data Warehouse.

By checking the Disable in-memory process checkbox, you can issue jobs to the Data Warehouse to handle the data transformation, just like the scenario with more than 1000 rows.

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