# RowSwift: Data Explorer — 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-data-explorer/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 · 7 MB
- Languages: American English
- Released: 2025-08-06
- Data updated: 2026-10-22
- Monetization: free

## What is RowSwift?

RowSwift lets you explore and analyze 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 what matters while keeping scrolling smooth. You can save any chart as a PNG, and you can write data 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

## Is RowSwift safe?

Not enough ratings yet to assess RowSwift.

## Is RowSwift legit?

RowSwift: Data Explorer appears legitimate, with a few gaps. The AppsHunter Legitimacy Score for RowSwift is 65 out of 100 points across 7 verification signals from App Store and developer data.


## 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)

### 3.1 — 2026-10-11

Recent links are now saved. Load from URL now remembers the last five CSV links you downloaded.

### 3.0 — 2026-10-10

RowSwift 3.0

A fresh new look!
RowSwift has been redesigned from the ground up. Darker, calmer screens let your data stand out, with colors that tell numeric and text columns apart at a glance.

Rebuilt charts
- Every chart now shares one layout, with live stats and more dynamic elements.
- Switch columns right from the chart header.
- Customize each chart in place:
  - Histograms: bars, area or line, automatic or custom bins, and percent or cumulative counts
  - Box plots: points or raincloud views
  - Scatter plots: trend lines, and color by a text column
  - Pie charts: donut, pie or ranked bars

New: Correlation heatmap
See how every pair of numeric columns relates, using Pearson or Spearman. Tap a cell to explore that pair.

New: Compare Groups
Compare a numeric column across the categories of another.

Better chart exports
Pick a shape (4:3, 1:1 or 4:5), a theme and a title, and choose exactly what appears, with a live preview before you share.

Redesigned Group-By
Pick your aggregates and get one clear card per group, sortable by name or size. Search now filters Group-By results too.

Smoother importing
Preview the first rows before importing, with the separator detected automatically. Load from URL checks the address as you type, and Enter Table Data shows the shape of your table live.

Fixes
- Group-By averages and maximums are now correct when a column has blank cells.
- CSV export keeps your values exactly as imported. Numbers like 0.5 or 007 are no longer changed.
- Files with duplicate or blank column headers now open correctly.
- Charts no longer occasionally open with an empty axis.
- Searching large files is faster.

### 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.

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## More apps by Juan De Dios Santos Rivera

- [Wakaba: Learn Japanese](https://appshunter.io/ios/app/wakaba-learn-japanese/id6800475141)

All apps by Juan De Dios Santos Rivera: https://appshunter.io/developer/1830332304

## Related topics

[rowswift](https://appshunter.io/ios/topics/rowswift)

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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 2026-10-22.*