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Zaturn

by kdqed
MIT License
57
  • Linux
  • Apple

scatter_plot

Visualize relationships in data by generating scatter plots directly from SQL queries on CSV or Parquet sources. Use column names for axes and optional color coding to enhance insights.

Instructions

Run query against specified source and make a scatter plot using result For both csv and parquet sources, use DuckDB SQL syntax Use 'CSV' as the table name in the SQL query for csv sources. Use 'PARQUET' as the table name in the SQL query for parquet sources.

This will return an image of the plot

Input Schema

NameRequiredDescriptionDefault
colorNoOptional; column name from SQL result to use for coloring the points, with color representing another dimension
queryYesSQL query to run on the data source
source_idYesThe data source to run the query on
xYesColumn name from SQL result to use for x-axis
yYesColumn name from SQL result to use for y-axis

Input Schema (JSON Schema)

{ "properties": { "color": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Optional; column name from SQL result to use for coloring the points, with color representing another dimension", "title": "Color" }, "query": { "description": "SQL query to run on the data source", "title": "Query", "type": "string" }, "source_id": { "description": "The data source to run the query on", "title": "Source Id", "type": "string" }, "x": { "description": "Column name from SQL result to use for x-axis", "title": "X", "type": "string" }, "y": { "description": "Column name from SQL result to use for y-axis", "title": "Y", "type": "string" } }, "required": [ "source_id", "query", "x", "y" ], "type": "object" }

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