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♻ How to Configure Data Manipulation and Transformation
♻ How to Configure Data Manipulation and Transformation
Yoom 運営事務局 avatar
Written by Yoom 運営事務局
Updated this week

📝 Overview

The Data Manipulating & Transformation feature allows you to convert and process data in various ways, such as replacing formatting or restructuring values.


🔹 List of Actions

Replacing Data with Regular Expressions

You can use regular expressions to replace data with specific values.

📌 Example Use Cases:
✔ Formatting phone numbers (e.g., 090-1234-567809012345678).
✔ Removing unwanted symbols or extracting specific text patterns.

Change Date Format

You can convert date formats to different styles.

📌 Example Use Cases:

✔️ Changing YYYY-MM-DD to MM/DD/YYYY.

✔️ Removing leading zeros from dates.

Split List-type Outputs into Individual Outputs

This action separates list-type outputs into individual values.

📌 Example Use Cases:
✔️ If an API response provides a list of values, you can break them into separate outputs.
✔️ Making it easier to process multiple data items individually.

⬇️

Convert File Name

Allows file renaming based on data.

  • The target must be a file output (e.g., PDF, CSV).

  • You can include dynamic values in the file name.

  • The file extension is automatically added.

📌 Example Use Cases:
✔️ Adding timestamps to file names.
✔️ Renaming uploaded files for organizational consistency.

Merge PDF Files

You can combine multiple PDF files acquired within Flowbot.

  • No need to enter file extensions when setting the file name.

  • Only supports PDFs retrieved in Flowbot.

📌 Example Use Cases:
✔️ Merging invoice pages into a single PDF.
✔️ Combining separate reports for easy distribution.

Related Keywords

Yoom, basic operations, basics, operations, operation, data, operation, conversion, regular expressions

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