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  • 🎉Welcome
  • Introduction
  • What is Acho?
  • How does Acho work?
    • Proof of Concept (PoC)
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      • Table
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          • Searchable Table
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        • Form Elements
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        • Web Elements
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        • Layout Elements
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      • Accessors
      • Plugin Store
    • Popular Use Cases
      • Build a chart from Table Nodes
      • Create a table
      • Create a list
      • Create a filter
      • Create a search bar
      • Use Custom Form Container to collect user inputs
      • Drill down on a table
      • Download file from query node
      • Set loading animations
      • Modify a database
      • Navigate to a different page
      • Set up dynamic routing
      • Update app data using accessors
      • Create a Chart with Code Block and D3 Library
      • Rich text and rich text editor
      • Send an Email via Mailjet Plugin
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      • Embed published app on website
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      • Onboarding Page
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  • Acho Studio
    • Quick Start
    • Resources
      • Add a resource
      • Supported data sources
        • Airtable
        • Amazon Ads
        • Amplitude
        • Amazon Seller Partner
        • Apify Dataset
        • Appstore
        • Asana
        • API Connector
        • API Template
        • AWS CloudTrail
        • Azure Table Storage
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        • Bamboo HR
        • BigCommerce
        • BigQuery
        • Bing Ads
        • Braintree
        • Cart.com
        • Chargebee
        • Chargify
        • Chartmogul
        • Clickhouse
        • Close.com
        • CockroachDB
        • Confluence
        • Customer.io
        • Delighted
        • Dixa
        • Drift
        • Facebook Marketing
        • Freshdesk
        • Freshsales
        • Freshservice
        • GitHub
        • GitLab
        • Google Ads
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        • HubSpot
        • IBM Db2
        • Instagram
        • Intercom
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        • Klaviyo
        • Kustomer
        • Lemlist
        • Lever Hiring
        • LinkedIn Ads
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        • Microsoft Teams
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        • Monday
        • MongoDB
        • MySQL
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        • Notion
        • Okta
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        • Oracle DB
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        • PagerDuty
        • Paypal Transaction
        • Paystack
        • Pipedrive
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        • Pinterest
        • Plaid
        • PostgreSQL
        • PostHog
        • PrestaShop
        • Qualaroo
        • QuickBooks
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        • S3
        • Salesforce
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        • Sendgrid
        • Sentry
        • Short.io
        • Shopify
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        • Snapchat Marketing
        • Snowflake
        • SQL Server
        • Square
        • Stripe
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        • YouTube Analytics
        • Zendesk Chat
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        • Zendesk Support
        • Zenloop
        • Zoho CRM
        • Zoom
        • Zuora
    • Data Prep (Projects)
      • Create a Data Prep Project
        • Create a table tab
        • Copy a table tab
        • Hide a table tab
      • Apply an action
        • View
          • Hide Columns
          • Filter
          • Sort
          • Cut
          • Rename
          • Move Column
        • Combine Tables
          • Join
          • Union
        • Transformation
          • Pivot Table
          • Unpivot
        • Data Cleaning
          • Cleanse
          • Replace
          • Change Type
          • Deduplicate
          • Split
          • Flatten
        • Tools
          • Formula
          • SQL Editor
            • SQL Editor Queries
            • All functions in Formula/SQL
              • Mathematical Functions
              • String Functions
              • Date Functions
              • Datetime Functions
              • Time Functions
              • Timestamp Functions
              • Conditional Functions
              • Type Conversion
              • Other Functions
        • Reserved Keywords
      • Pipeline
      • Edit your pipelines
      • Generate column summary for inspection
      • Use URL to access and share your project
      • Write a description for your project
      • Delete a resources/project/tab
    • Data Flow
      • Export data
        • Download CSV files
        • Excel Connector
        • Google Sheets Connector
        • Embed a table on your website
          • Data Usage Agreement
        • Apache Superset
        • Chartio
        • Looker
        • Metabase
        • Power BI
        • Qlik
        • Tableau
        • MongoDB
        • MySQL
        • MSSQL
        • Snowflake
        • PostgreSQL
        • BigQuery
    • Set up Data Sync
    • FAQ
  • Organization
    • Get started
    • Create an organization
    • Invite people to your organization
    • Share your resources
    • Share your projects
    • Share your apps
    • Change payment method on file
  • FAQ
    • I can't find data after uploading a big CSV file
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  1. Acho Studio
  2. Data Prep (Projects)
  3. Apply an action
  4. Data Cleaning

Replace

The replace action simply finds values indicated and replaces them with a provided substitute. In Acho replace action is also performed at the column level. The replace function looks for patterns that match the one inputted, in any part of the cell value. This means that "ex" will find records such as "expenses" as well as "Apex" and "general experience", and replace just the "ex" portion with the provided substitute. Please also note that replace can work on any data type, but if the replacement value violates the data type, it will error out. For example, replacing "99" with "10" will work in an integer field, where 199 will become 110, and 99345 will become 10345. However, replacing "99" with "Ten" in the same field will error out because "Ten" does not qualify for integer and Acho refuses to perform the action because it conflicts with the data schema.

Replace can also be a powerful data cleaning technique when used properly. If it has been noticed that there are certain patterns in undesirable or unclean data, use the replace action to correct them. For example, for a string field containing gender information, perhaps some are recorded as "F" or "M", others are recorded as "Female" and "Male", and there are some even with "Woman" and "Man". In this situation, the user may decide to standardize, and replace all "Female" and "Women" with "F" and "Male" and "Man" with "M".

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Last updated 3 years ago

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