Tabula Documentation
Tabula HomeCommunity
  • 👋Introduction to Tabula
  • Getting Started
    • Product Updates
    • Getting Started
      • Installation and Login
      • Beginner's Guide
    • FAQ
  • Product overview
    • Home Page
    • Exploring Data
      • Data Catalog
      • Exploring Datasets
      • Statistics Panel
    • Designing Flows
      • Creating Flows
      • Flow Designer Guide
        • Working with Canvas
        • Using Groups
        • Working with Table
      • Managing Flows
      • Sharing Flows
      • Demo: Building a Simple Flow
    • Executing Flows
      • Running Flows
      • Jobs overview
    • Building Reports
      • Designing Reports
      • Running Reports
      • Reports Page
    • Connecting Data
  • Integrations
    • Enrichments
      • How to add your API key in Tabula
      • List of Supported Queries
      • Enrichment Providers
        • AnymailFinder
        • Apollo
          • How to find Apollo API key
          • Enrich person by LinkedIn
          • Enrich company by domain
        • Bounceban
        • Bouncer
        • Bouncify
        • CaptainVerify
        • Cleanify
        • Clearout
        • CompanyEnrich
        • ContactOut
          • How to find ContactOut API key
          • Enrich person by LinkedIn
          • Enrich person by email
        • Discolike
        • TheCompaniesAPI
        • Findymail
        • Emailable
        • EmailListVerify
        • Enrichley
        • Heybounce
        • Hunter
        • Kickbox
        • Mails
        • MailChecker
        • MillionVerifier
        • NeverBounce
        • Nubela (Proxycurl)
        • PeopleDataLabs
        • Prospeo
        • ZeroBounce
        • ReverseContact
          • How to find Reverse Contact API key
          • Enrich person by LinkedIn
          • Enrich person and company by email
          • Enrich company by domain
          • Enrich company by LinkedIn
        • UpLead
    • Data Sources
      • Configuring Fivetran Integration
    • Data Storages
      • PostgreSQL
      • Snowflake
      • BigQuery
      • ClickHouse
  • Data Transformation
    • Transforms
      • Source
      • New Empty Table
      • Output
      • Chart
      • Enrichment
      • New Column
      • If...Then
      • Rolling Functions
      • Column Type
      • Columns Edit
      • Filter
      • Remove Duplicates
      • Sort
      • Find and Replace Text
      • Split Column
      • Extract Text
      • Match Text
      • Join
      • Union
      • Group By
      • Pivot
      • Unpivot
      • To JSON
      • From JSON
      • API Call
      • AI Column
      • AI Table
    • Formulas
      • What are Formulas?
      • Math Functions
        • Abs
        • Ceiling
        • Exp
        • Floor
        • IsEven
        • IsOdd
        • Ln
        • Log
        • Log10
        • Mod
        • Pi
        • Power
        • Quotient
        • Round
        • RoundDown
        • RoundUp
        • Sign
        • Sqrt
        • Truncate
      • Trigonometric Functions
        • Acos
        • Asin
        • Atan
        • Atan2
        • Cos
        • Cot
        • Degrees
        • Radians
        • Sin
        • Tan
      • String Functions
        • Compare
        • Concat
        • Contains
        • In
        • CountMatches
        • CountMatchesRegexp
        • EndsWith
        • EndsWithRegexp
        • Extract
        • FindMatchOfString
        • FindMatchOfRegexp
        • FindMatchesOfString
        • FindMatchesOfRegexp
        • Left
        • Length
        • Lower
        • Matches
        • Pad
        • ProperCase
        • RemoveSymbols
        • RemoveWhitespaces
        • Repeat
        • Replace
        • ReplaceRegexp
        • Reverse
        • Right
        • Spaces
        • Split
        • SplitRegexp
        • StartsWith
        • StartsWithRegexp
        • Stuff
        • Substring
        • SubstringDelimiter
        • SubstringRegexpDelimiter
        • Trim
        • Upper
      • Date & Time Functions
        • Date
        • DateAdd
        • DateAdd2
        • DateDiff
        • DateDiff2
        • DateFromParts
        • DateTime
        • DateTimeFromParts
        • DateTrunc
        • DayName
        • DayOfMonth
        • DayOfWeek
        • DayOfYear
        • Hour
        • Minute
        • Month
        • MonthName
        • Now
        • Quarter
        • Second
        • Time
        • TimeFromParts
        • Today
        • Week
        • Year
      • Aggregate Functions
        • Any
        • AnyIf
        • Array
        • ArrayIf
        • Avg
        • AvgIf
        • AvgInRow
        • Count
        • CountA
        • CountIf
        • CountUnique
        • Max
        • MaxIf
        • MaxInRow
        • Median
        • MedianIf
        • Min
        • MinIf
        • MinInRow
        • Mode
        • ModeIf
        • Percentile
        • Quartile
        • StdDev
        • StdDevIf
        • Sum
        • SumIf
        • SumProduct
        • Variance
        • VarianceIf
      • Conversion Functions
        • ToArray
        • ArrayToString
        • ToBoolean
        • ToDate
        • ToDateTime
        • ToDecimal
        • ToInteger
        • ToObject
        • ToTime
        • ToString
      • Misc Functions
        • At
        • IsMissing
        • RowNumber
        • Random
        • If
        • Coalesce
        • True
        • False
        • Null
        • $target
      • Window Functions
      • Custom Functions
      • Data Types
      • Supported Date Parts
      • Regex: List of Tokes
  • Pricing & Billing
    • Plans, Subscriptions, and Credits
    • Tabula for Education
  • Tutorials
    • Tabula Use Cases
    • Merge Columns
    • Join Types
    • Union Introduction
    • Window Functions
    • What is Unpivot?
    • JSON Format Tutorial
    • Using Regex
Powered by GitBook
On this page
  • Overview
  • Settings

Was this helpful?

  1. Data Transformation
  2. Transforms

Filter

Filters rows based on the specified condition

Last updated 1 year ago

Was this helpful?

Overview

The Filter Node allows you to filter your dataset based on specific conditions or custom formulas.

Settings

Find rows where

The "Find Rows Where" property allows you to define the conditions for filtering rows in your dataset. There are two options for creating conditions:

1. Predefined Operators

Using predefined operators, you can easily set up conditions based on column values and comparison operators. Follow these steps to create a condition:

  1. Select the column you want to use as a basis for the condition.

  2. Choose a comparison operator (e.g., equal, contains, more, etc.) depending on the column's data type.

  3. Enter a value to compare with the selected column's values.

To add more conditions, click the "Add Condition" button. You can combine multiple conditions using the following logical operators:

  • And: Both conditions must be true for a row to pass the filter.

  • Or: At least one of the conditions must be true for a row to pass the filter.

You can also add a new group of conditions. Click the "Add Condition" button and select "Add group".

2. Custom Formula

To use a custom formula, enable the "Custom Formula" toggle. With this option, you can define any condition that returns a boolean value (true or false).

Action

The "Action" property lets you choose what to do with rows that pass the filter conditions. There are two available options:

  1. Keep Filtered: Only keep rows that meet the filter conditions in the dataset.

  2. Remove Filtered: Remove rows that meet the filter conditions from the dataset.