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JKISeason 4-17 - Prepare KNIME Training File Set

JKISeason4-17
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Sep 4, 2025 5:07 AM
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Challenge 17: Prepare KNIME Training File Set

Level: Medium

Description: You are responsible for creating an educational program for KNIME to be conducted within your company. You plan to create a workflow where participants can learn how to use the "List Files/Folders" node and its utility. Hint: When generating random numbers, the Vernalis KNIME Nodes Extension might be helpful.

As preparation, you need to create dummy data that meets a few requirements, described as follows.

Beginner-friendly objectives:
- Create a specified number of folders (up to 5,000) with unique random numbers of up to 6 digits within a designated directory.
- Use zero-padding to ensure the numbers have consistent digit length.

Intermediate-friendly objective:
- Inside each folder, create one file with a random number of up to 5 digits as its name. Zero-padding is not required, and the file names do not need to be unique.
- The file extension should be (1) the fictional file extension .fzbz if the folder name is a multiple of 3 and the file name contains the number 5, or (2) .csv for all other cases. The contents of each file can be empty.

Author: Naoyoshi Yamamoto

Remember to upload your solution with tag JKISeason4-17 to your public space on KNIME Community Hub. To increase the visibility of your solution, also post it to this challenge thread on KNIME Forum.

External resources

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Used extensions & nodes

Created with KNIME Analytics Platform version 5.5.1
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.1

    knime
  • Go to item
    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.1

    knime
  • Go to item
    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.0

    knime
  • Go to item
    KNIME Parallel Chunk Loop NodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.5.0

    knime
  • Go to item
    Vernalis KNIME NodesTrusted extension

    Vernalis Research Ltd, Cambridge, UK

    Version 1.38.2

    vernalis

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