# Pivot Table Generator

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

> Canonical page: https://elysiatools.com/en/tools/pivot-table-generator

- **Category:** Data Analysis

- **Keywords:** pivot table, data analysis, csv, json, aggregation, business intelligence, data visualization

## 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.

## Inputs

- **Input Data** (textarea): Enter your CSV or JSON data... CSV Example: Region,Product,Sales,Quantity,Date North,Widget A,1000,50,2024-01-15 South,Widget B,1500,75,2024-01-16 North,Widget A,1200,60,2024-01-17 JSON Example: \[ {"Region": "North", "Product": "Widget A", "Sales": 1000, "Quantity": 50}, {"Region": "South", "Product": "Widget B", "Sales": 1500, "Quantity": 75} \]
- **Data Format** (select)
- **Row Fields (optional)** (text): Fields to use as rows in the pivot table. If empty, will use first non-numeric field.
- **Column Fields (optional)** (text): Fields to use as columns in the pivot table. If empty, will use remaining fields.
- **Value Fields (optional)** (text): Numeric fields to aggregate. If empty, will auto-detect numeric fields.
- **Aggregate Function** (select)
- **Filter Conditions (optional)** (textarea): Optional filters to apply before generating pivot table. Format: Field operator value
- **Include Grand Totals** (checkbox): Add grand total rows and columns to the pivot table
- **Include Percentages** (checkbox): Show percentages alongside values
- **Maximum Rows** (number): Maximum number of rows to display in the pivot table
- **Maximum Columns** (number): Maximum number of columns to display in the pivot table

## 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.

## Frequently asked questions

### 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.

## Related tools

- [Time Series Forecast & Seasonality Analyzer](https://elysiatools.com/en/tools/time-series-forecast-seasonality-analyzer): Forecast future periods from CSV or JSON time-series data and inspect trend, seasonal, and residual decomposition in one report
- [Data Range Limiter](https://elysiatools.com/en/tools/data-range-limiter): Limit numerical values to specified ranges by clipping, filtering, or marking out-of-bounds values. Perfect for data quality control, sensor data cleaning, business rule enforcement, and data preprocessing. Features: - Range clipping (clip values to min/max boundaries) - Range filtering (remove out-of-bounds rows) - Range marking (flag modified values) - Per-column range configuration - Automatic numeric column detection - Multiple handling strategies - Detailed modification reports - Statistical analysis of changes - Business rule enforcement Common Use Cases: - Sensor data validation and cleaning - Machine learning input preparation - Data quality control and validation - Business constraint enforcement - Outlier management and control - Data preprocessing pipelines
- [Markdown Table Generator](https://elysiatools.com/en/tools/markdown-table-generator): Generate formatted Markdown tables from CSV, JSON, or array data with alignment, header styles, width control, and merge hints
- [CSV to Database Migration Planner](https://elysiatools.com/en/tools/csv-to-database-migration-planner): Infer a relational schema from CSV data and generate create-table plus ALTER migration plans for PostgreSQL, MySQL, SQLite, or SQL Server
- [Fitness Workout PDF Generator](https://elysiatools.com/en/tools/fitness-workout-pdf-generator): Generate a printable workout-plan PDF from JSON or CSV data with exercise tables, progress boxes, and optional QR video links
- [Heatmap Generator](https://elysiatools.com/en/tools/heatmap-generator): Generate customizable heatmaps from data, perfect for visualizing data density, correlations, and patterns
- [JSON-LD Generator from CSV](https://elysiatools.com/en/tools/json-ld-generator-from-csv): Turn CSV or Excel rows into Schema.org JSON-LD for articles, products, or events, with validation-ready output for SEO workflows
- [Test Data Faker Builder](https://elysiatools.com/en/tools/test-data-faker-builder): Generate structured test data from field configuration with support for faker fields, regex rules, credit cards, IDs, and batch export

## Samples

- [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels
- [Python Samples](https://elysiatools.com/en/samples/python): Essential Python code examples and Hello World demonstrations
- [Terraform Plan JSON Samples](https://elysiatools.com/en/samples/terraform-plan-json-samples): Sample Terraform plan JSON files exported from terraform show -json style payloads for dependency visualization and change review
- [JWT Samples](https://elysiatools.com/en/samples/jwt-samples): Comprehensive JWT examples from basic token structure to advanced security implementations