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Pivot Table Generator

Generate interactive pivot tables from CSV/JSON data with customizable row, column, and value field configurations

Fields to use as rows in the pivot table. If empty, will use first non-numeric field.

Fields to use as columns in the pivot table. If empty, will use remaining fields.

Numeric fields to aggregate. If empty, will auto-detect numeric fields.

Optional filters to apply before generating pivot table. Format: Field operator value

Add grand total rows and columns to the pivot table

Show percentages alongside values

Maximum number of rows to display in the pivot table

Maximum number of columns to display in the pivot table

Key Facts

Category
Data Analysis
Input Types
textarea, select, text, checkbox, number
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

The Pivot Table Generator allows you to transform raw CSV or JSON datasets into structured, interactive pivot tables. By defining custom row, column, and value fields, you can quickly aggregate complex data to uncover trends and insights without manual spreadsheet formulas.

When to Use

  • •When you need to summarize large datasets by specific categories or time periods.
  • •When you want to compare performance metrics across different regions or product lines.
  • •When you need to quickly aggregate raw data to identify totals, averages, or trends.

How It Works

  • •Paste your CSV or JSON data into the input field and select the corresponding data format.
  • •Specify your desired row, column, and value fields, or let the tool auto-detect them for you.
  • •Choose an aggregation function such as Sum, Count, or Average to calculate your results.
  • •Apply optional filters to refine your data and generate the final pivot table with grand totals.

Use Cases

Summarizing monthly sales performance by region and product category.
Calculating the average quantity of items sold across different store locations.
Identifying maximum and minimum transaction values within a specific customer segment.

Examples

1. Regional Sales Summary

Sales Analyst
Background
A sales analyst has a CSV file containing thousands of transaction records across multiple regions.
Problem
Need to quickly see the total sales volume per region without manually sorting or filtering.
How to Use
Paste the CSV data, set 'Region' as the Row Field, 'Sales' as the Value Field, and select 'Sum' as the aggregation function.
Outcome
A clean table showing the total sales revenue aggregated by each unique region.

2. Inventory Count by Category

Background
A warehouse manager has a JSON export of current stock levels.
Problem
Need to determine the total count of items available in each product category.
How to Use
Input the JSON data, set 'Category' as the Row Field, 'Quantity' as the Value Field, and select 'Sum' as the aggregation function.
Outcome
A concise summary table displaying the total inventory quantity grouped by category.

Try with Samples

json, csv
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Sample CSV files with various data types, sizes, and complexity levels
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FAQ

What data formats are supported?

The tool supports raw CSV and JSON data formats.

Can I filter my data before generating the table?

Yes, you can use the Filter Conditions field to apply logic like 'Region = North' or 'Sales > 1000' before processing.

What aggregation functions are available?

You can choose from Sum, Count, Average, Maximum, and Minimum.

What happens if I leave the field configuration empty?

The tool will automatically detect numeric fields for aggregation and use the first non-numeric field for rows.

Can I include percentages in the output?

Yes, enable the 'Include Percentages' checkbox to display relative values alongside your aggregated data.

API Documentation

Request Endpoint

POST /en/api/tools/pivot-table-generator

Request Parameters

Parameter Name Type Required Description
inputData textarea Yes -
dataFormat select Yes -
rowFields text No Fields to use as rows in the pivot table. If empty, will use first non-numeric field.
columnFields text No Fields to use as columns in the pivot table. If empty, will use remaining fields.
valueFields text No Numeric fields to aggregate. If empty, will auto-detect numeric fields.
aggregateFunction select Yes -
filterConditions textarea No Optional filters to apply before generating pivot table. Format: Field operator value
includeGrandTotals checkbox No Add grand total rows and columns to the pivot table
includePercentages checkbox No Show percentages alongside values
maxRows number No Maximum number of rows to display in the pivot table
maxColumns number No Maximum number of columns to display in the pivot table

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-pivot-table-generator": {
      "name": "pivot-table-generator",
      "description": "Generate interactive pivot tables from CSV/JSON data with customizable row, column, and value field configurations",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=pivot-table-generator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]