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

Analyzing Data

Analyzing data in Datawisp is done by combining a series of blocks that replace code to transform data in specific ways (e.g. filters, aggregations, calculations). Users can either create a blank worksheet and work with the blocks themselves, or ask Wispy (our AI assistant) a question about their data in plain English.

Each method has its pros and cons, but both are designed to be well within reach of non-technical users. For beginners, it's recommended to start by asking Wispy a question. Once users gain a little bit of experience with the blocks, they can more confidently create their own sheets.

PreviousData DictionariesNextDatawisp Blocks

Last updated 1 year ago