box_plot
Visualize data distribution by creating box plots from SQL queries on CSV or Parquet sources using DuckDB syntax. Specify x and y-axis columns, and optionally add color to represent additional dimensions.
Instructions
Run query against specified source and make a box 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
| Name | Required | Description | Default |
|---|---|---|---|
| color | No | Optional column name from SQL result to show multiple colored bars representing another dimension | |
| query | Yes | SQL query to run on the data source | |
| source_id | Yes | The data source to run the query on | |
| x | Yes | Column name from SQL result to use for x-axis | |
| y | Yes | Column 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 show multiple colored bars 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"
}