# CSV Data Grouper

Group CSV data by specified columns with aggregation options. Perfect for summarizing and analyzing large datasets by categories, dates, or other criteria.

> Canonical page: https://elysiatools.com/en/tools/csv-data-grouper

- **Category:** Data Processing

- **Keywords:** csv, group, aggregate, summarize, data, analyze, categories, statistics

## Overview

CSV Data Grouper is a powerful utility designed to organize and summarize large datasets by grouping rows based on specific columns and applying mathematical aggregations. It simplifies data analysis by allowing you to quickly calculate totals, averages, or counts across categories, dates, or custom identifiers.

## Inputs

- **CSV Input** (textarea): Enter your CSV data (first row should contain headers)...
- **Input Delimiter** (select)
- **Group By Columns** (text): Columns to group data by. Multiple columns will create nested groups.
- **Aggregation Options** (textarea): JSON format: \[{"column": "Amount", "function": "sum", "as": "Total_Amount"}\] Simple format: Amount:sum,Name:count Default: Count records per group Available functions: count, sum, avg/average, min, max, first, last, join, unique, count_unique
- **Output Format** (select)
- **Include Header Row** (checkbox)
- **Sort Groups Alphabetically** (checkbox)
- **Trim Cell Values** (checkbox): Remove whitespace from beginning and end of cell values

## When to use

- When you need to condense large CSV files into meaningful summary reports.
- When you want to calculate statistics like sums or averages for specific categories within your data.
- When you need to transform raw, granular data into a structured format for easier analysis or reporting.

## How it works

- Paste your CSV content into the input area and select the correct delimiter.
- Specify the column names you want to group by to organize your data structure.
- Define your aggregation rules, such as summing a 'Sales' column or counting occurrences of a 'Product' ID.
- Choose your preferred output format (CSV or JSON) and click process to generate your summarized data.

## Use cases

- Summarizing monthly sales figures by region and product category.
- Calculating the average response time for support tickets grouped by agent.
- Counting unique customer interactions per day from raw log files.

## Frequently asked questions

### What aggregation functions are supported?

You can use count, sum, avg/average, min, max, first, last, join, unique, and count_unique.

### Can I group by multiple columns?

Yes, you can enter multiple column names separated by commas to create nested groups.

### Does the tool handle whitespace in my CSV?

Yes, the 'Trim Cell Values' option automatically removes leading and trailing whitespace from your data.

### What output formats are available?

The tool supports exporting your summarized data in either CSV or JSON format.

### Do I need to include a header row?

It is recommended to include a header row for accurate column identification, which you can toggle using the 'Include Header Row' checkbox.

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## 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
- [WebRTC Real-Time Communication Samples](https://elysiatools.com/en/samples/webrtc-samples): Comprehensive WebRTC samples for peer-to-peer audio/video communication, data channels, screen sharing, and signaling server implementation
- [Distributed Tracing Samples](https://elysiatools.com/en/samples/distributed-tracing-samples): Comprehensive distributed tracing examples using Jaeger, OpenTelemetry, and other modern observability tools for microservices architecture

## Related content

- [CSV Cleanup, Reshaping, and Delivery Workflow](https://elysiatools.com/en/hubs/csv-utility): Inspect CSV structure, keep the right columns, reshape rows, compare outputs, and split final files for dependable imports or reporting.