Tad Viewer 0.14.0

Free Download Tad Tabular Data Explorer, the latest standalone offline installer for macOS. A desktop application for viewing and analyzing tabular data.

Overview of Tad Viewer for macOS

The Tad desktop application enables you to quickly view and explore tabular data in several of the most popular file formats: CSV, Parquet, SQLite, and DuckDb database files. Internally, the application is powered by an in-memory instance of DuckDb, a fast, embeddable database engine optimized for analytic queries.

The core of Tad is a React UI component that implements a hierarchical pivot table that allows you to specify a combination of pivot, filter, aggregate, sort, column selection, column ordering, and basic column formatting operations. Tad delegates to a SQL database for storage and analytics, and generates SQL queries to perform all analytic operations specified in the UI.

Features of Tad Viewer for macOS

• Multi-Format Support: This feature supports CSV, Parquet, SQLite, and DuckDb database files, allowing users to work with various data sources.
• Intuitive User Interface: Built using modern web technologies, providing a responsive and visually appealing user experience.
• Aggregation Functions
  Summarize Data: Perform calculations such as sum, average, count, and more to derive insights from raw data.
• Sorting Capabilities
  Customizable Sorting: Arrange data in ascending or descending order based on selected columns for better analysis.
• Column Selection and Ordering
  Tailored Data Views: Users can choose which columns to display and in what order, allowing for a customized data view.
• Basic Column Formatting
  Enhance Readability: Apply basic formatting options to columns for improved presentation and understanding of the data.
• In-Memory Processing
  Performance Optimization: Utilizes an in-memory instance of DuckDb for fast data processing and analytic query execution.
• SQL Query Generation
  Automated Query Creation: Tad generates SQL queries behind the scenes, enabling users to perform complex analyses without needing extensive SQL knowledge.
• User-Friendly Experience
  Accessible for All Skill Levels: It is designed to be intuitive and easy to navigate, making it suitable for both beginners and experienced data analysts.
• Data Visualization
  Visual Insights: Options for visual data representation through charts and graphs to help users understand trends and patterns.

Hierarchical Pivot Table
The core of Tad is a hierarchical pivot table that allows users to perform various operations, including:

• Pivoting: Transforming data to see it from different perspectives.
• Filtering: Narrowing down datasets to focus on specific information.
• Aggregation: Summarizing data to derive insights.
• Sorting: Arranging data in a logical order for better comprehension.
• Column Selection and Ordering: Customizing views by selecting and arranging columns based on user needs.
• Basic Column Formatting: Enhancing data presentation for improved readability..

Technical Details and System Requirements

• macOS 10.15 or later
• Intel-based or Apple Silicon (M1/M2)

FAQs

Q: What types of data can I analyze using Tad?
A: It supports various tabular data file formats, including CSV, Parquet, SQLite, and DuckDb database files.

Q: How does Tad handle large datasets?
A: It is built on DuckDb, which is optimized for analytic queries and can efficiently process large datasets in memory, ensuring quick response times even with substantial data.

Q: Can I customize my data views?
A: It allows users to perform pivoting, filtering, and sorting, as well as selecting and ordering columns to tailor the data presentation to their preferences.