LogoLogo
  • Datawisp Documentation
  • Datawisp Overview
  • Adding your data
    • Connect to a database
      • Snowflake
      • BigQuery
      • Google Analytics via BigQuery
      • MotherDuck
    • Tips for Success
    • Troubleshooting
    • Reloading the database schema
    • Data Dictionaries
  • Analyzing Data
    • Datawisp Blocks
      • Data Source
      • Summarize & Group
      • Combine
      • Order and Select Rows
      • Table
      • Filter
      • Add Column
      • Cleanup
      • JSON
      • Chart
      • Reshape
    • Wispy
      • The SQL View
  • Deployment
  • Security
  • Privacy
  • Data processing
  • Contact Info
  • Additional Resources
    • Tutorials
Powered by GitBook
LogoLogo

Datawisp

  • Main Site
  • App

Social

  • X
  • Linkedin

Legal

  • Privacy Policy
  • Terms of Use

Copyright 2023 Datawisp, Inc.

On this page
  1. Analyzing Data

Datawisp Blocks

Datawisp is built on blocks that can be dragged and dropped in place. These blocks represent data sources, transformations to the data, or types of output. Datawisp lets users chain these blocks together to create a sheet that mirrors a data analysis pipeline - this can be a series of joins, filters, aggregations, and more.

This section contains an overview of all the major Datawisp blocks and how to use them.

PreviousAnalyzing DataNextData Source

Last updated 1 year ago