Elysia Tools
Navigation
Data Analysis
Generate interactive pivot tables from CSV/JSON data with customizable row, column, and value field configurations
Execution
Fill in the form, run the tool, and review the result in one place.
Samples
Related
Ready for a run
Tool usage guide
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.
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.
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.
The tool supports raw CSV and JSON data formats.
Yes, you can use the Filter Conditions field to apply logic like 'Region = North' or 'Sales > 1000' before processing.
You can choose from Sum, Count, Average, Maximum, and Minimum.
The tool will automatically detect numeric fields for aggregation and use the first non-numeric field for rows.
Yes, enable the 'Include Percentages' checkbox to display relative values alongside your aggregated data.