# RowSwift — Quick CSV Stats & Charts

> On-device CSV analysis and visualization tool with statistical summaries and charting. (iPhone/iPad app by Juan De Dios Santos Rivera.)

- Source: https://appshunter.io/ios/app/rowswift/id6749399145 (this page in markdown: same URL + `.md`)
- Developer: [Juan De Dios Santos Rivera](https://appshunter.io/developer/1830332304)
- Category: Productivity, Utilities
- Price: Free
- Rating: 5.00/5 from 1 App Store ratings
- Age rating: 4+
- Requires: iOS 18.2 · 3 MB
- Languages: American English
- Released: 2025-08-06
- Data updated: 2026-06-05
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/rowswift/id6749399145/reviews.md

## What is RowSwift?

RowSwift lets you explore and analyse comma-separated files right on your device. Open a CSV from Files, iCloud Drive, a URL, or the clipboard and inspect its structure.

The app summarises each column by showing counts, unique values, minimum and maximum, mean, and quartiles. You can switch between histogram, box-plot, scatter-plot, pie chart, and line views to understand distributions and relationships. When a file is large, row filters help you focus on the portion that matters while keeping scrolling smooth. Any chart can be saved as a PNG, and data can be written back to CSV. 

All processing stays on your device. RowSwift collects no analytics and requires no account.

## Key features

- CSV file import from various sources
- Column statistical summaries
- Multiple chart types (histogram, box-plot, scatter-plot, pie, line)
- Row filtering for large datasets
- Chart export as PNG
- Data export to CSV


## Frequently asked questions about RowSwift

### What file formats does RowSwift support?

RowSwift primarily focuses on comma-separated value (CSV) files. You can open CSVs from your device's Files app, iCloud Drive, a web URL, or by pasting from your clipboard.

### How does RowSwift handle large CSV files?

For large files, RowSwift includes row filters that allow you to focus on specific portions of your data. This feature helps maintain smooth scrolling and efficient analysis even with extensive datasets.

### Can I export my charts and data from RowSwift?

Yes, RowSwift allows you to save any generated chart as a PNG image. Additionally, you can write modified data back to a CSV file for further use.

### Does RowSwift collect user data or require an account?

No, RowSwift prioritizes user privacy. All data processing is done on your device, and the app collects no analytics and requires no account to use.

### What types of charts can I create with RowSwift?

RowSwift offers a variety of visualization options, including histograms, box-plots, scatter-plots, pie charts, and line charts, to help you understand data distributions and relationships.

### On which devices can I use RowSwift?

RowSwift is available for both iPhone and iPad, offering a versatile data analysis experience across Apple mobile devices.

### How often is RowSwift updated?

The latest version of RowSwift is 2.0, and it was last updated on March 27, 2026. This indicates active development and potential for future improvements and features.

### What are the key statistics RowSwift provides for each column?

For each column in your CSV file, RowSwift summarizes counts, unique values, minimum and maximum values, mean, and quartiles, providing a comprehensive statistical overview.

## Version history (last 5 releases)

### 2.0 — 2026-03-27

- Dataset Library: Save your favorite datasets and access them anytime from the home screen. Tap the bookmark icon to save, long-press to delete.
- iCloud Sync: Your saved datasets automatically sync across all your devices via iCloud Drive.
- New user tips: A helpful TipKit popover guides you to the bookmark feature the first time you open a dataset.

### 1.4.0 — 2026-02-18

New "Column Operations" section in Dataset Overview for performing computations across columns. The first supported operation is the correlation between two numeric columns.

### 1.3.1 — 2025-10-02

Improved navigation when selecting visualizations.

### 1.3 — 2025-09-19

This update adds full support for iOS 26 and improves the performance of chart export features.

### 1.2.2 — 2025-08-31

Patch Notes: GroupBy Feature Updates.

Bug Fixes
- Fixed error in GroupBy queries when no aggregates were selected.
- Fixed duplicate count display: count now appears only once per column instead of twice.

New Features
- Mini Tiles for Aggregations: Results now display as organized mini tiles instead of side-by-side text.
- Show/Hide Missing Values Toggle: Added toggle under "Group Column" to control whether empty/null value groups are displayed.
- Improved "Recommended" Column Filter - Now only shows non-numeric columns (previously included low-cardinality numeric columns).

Visual Improvements
- Consistent Color Scheme: Mini tiles use the same color as main app tiles (Visualize/Columns/Group-By Summary).
- Better Typography: Increased font sizes for better readability while maintaining visual hierarchy.
- Grid Layout: Aggregation results organized in a clean 2-column grid.

Technical Details
- Pagination: Still shows 15 results initially, loads 25 more with "Load More".

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-05.*