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Clean and Rank a Table

A real four-step data chain rather than a single op: import, drop duplicate rows, sort by volume, then keep the top slice. Each step is inspectable on its own, which is the argument for doing this as a graph instead of one opaque query.

Clean and Rank a Table — example output from the NodeTool workflow

The workflow

Workflow Editor
Import CSV
Drop Duplicates
Df
Sort By Column
Df
Slice
Dataframe
Output

Nodes in this workflow

5 nodes · 5 types
  • Drop Duplicates
    nodetool.data.DropDuplicates
  • Import CSV
    nodetool.data.ImportCSV
  • Output
    nodetool.output.Output
  • Slice
    nodetool.data.Slice
  • Sort By Column
    nodetool.data.SortByColumn

How to run it

  1. 01

    Download NodeTool Studio

    Install the free desktop app for macOS, Windows, or Linux. It runs on your own machine, no account required to start.

  2. 02

    Open the Clean and Rank a Table template

    Browse the built-in template library inside Studio and open this workflow onto the canvas. Every node is already wired up.

  3. 03

    Add your keys

    Connect any model providers this workflow calls with your own API keys, or point it at local models.

  4. 04

    Run and remix

    Hit Run to execute the graph and watch results stream in. Swap models, edit prompts, or rewire nodes to make it yours.

Run Clean and Rank a Table on your machine

Free, open source, and yours to run. Download Studio, open the template, and run it with your own keys.