RowSwift

2.0 for

Free

0

0 Ratings

Update Date

2026-03-27

Size

3.3 MB

RowSwift Description

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.

RowSwift 2.0 Update

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.

More Information

Price:: Free

Version:: 2.0

Size:: 3.3 MB

Genre:: Productivity Utilities

Update Date:: 2026-03-27

Developer:: Juan De Dios Santos Rivera

Language:: English

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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.