# Data Desk

> Data Desk is a commercial application for data exploration, analysis and visualization available for both OS X and Windows systems

**Wikidata**: [Q126084903](https://www.wikidata.org/wiki/Q126084903)  
**Source**: https://4ort.xyz/entity/data-desk-q126084903

## Summary
Data Desk is a commercial software application designed for data exploration, analysis, and visualization, compatible with both OS X and Windows operating systems. It serves as a tool for handling datasets, emphasizing visual analysis and integration with social sciences and humanities research workflows. The platform is listed in the Social Sciences and Humanities Open Marketplace, highlighting its relevance to academic and research applications.

## Key Facts
- **Primary Functions**: Data visualization, analysis, and visual analysis.
- **Operating Systems**: Available for OS X and Windows.
- **Commercial Status**: Proprietary software (not open-source).
- **Catalog Inclusion**: Featured in the Social Sciences and Humanities Open Marketplace.
- **Instance Type**: Classified as software.
- **Documentation Source**: Described in a resource published in November 2022 (English language).

## FAQs
### Q: What operating systems is Data Desk compatible with?
A: Data Desk is available for both OS X and Windows systems, ensuring cross-platform accessibility for users.

### Q: Is Data Desk free to use?
A: No, Data Desk is a commercial application, indicating it requires a paid license for use.

### Q: What types of tasks does Data Desk support?
A: The software specializes in data exploration, analysis, and visualization, with an emphasis on visual analysis techniques.

## Why It Matters
Data Desk plays a critical role in simplifying complex data workflows for researchers and professionals, particularly in the social sciences and humanities. By integrating visualization and analysis tools into a single platform, it addresses the challenge of interpreting large datasets, enabling users to identify patterns and trends more intuitively. Its cross-platform compatibility (OS X and Windows) ensures broad accessibility, fostering collaboration across different technical environments. As a commercial tool listed in a reputable academic marketplace, it bridges the gap between proprietary software capabilities and scholarly research needs, offering a specialized solution for data-driven inquiry.

## Notable For
- **Cross-Platform Compatibility**: Supports both OS X and Windows, unlike some niche tools restricted to a single operating system.
- **Academic Marketplace Recognition**: Included in the Social Sciences and Humanities Open Marketplace, underscoring its relevance to research communities.
- **Visual Analysis Focus**: Prioritizes visual methods for data exploration, distinguishing it from purely statistical or code-based analysis platforms.

## Body
### Overview
Data Desk is a proprietary software application designed to facilitate data exploration, analysis, and visualization. It is explicitly categorized as commercial software, requiring a paid license for access. The tool is tailored to meet the needs of users in academic and research contexts, particularly within the social sciences and humanities.

### Key Features
- **Core Functionality**: 
  - Data visualization: Translates datasets into graphical formats for clearer interpretation.
  - Analysis: Supports statistical and exploratory analysis of numerical and categorical data.
  - Visual Analysis: Combines interactive visualization with analytical tools for iterative data examination.
- **Technical Scope**: 
  - Compatible with OS X and Windows, ensuring usability across institutional IT infrastructures.
  - Listed in the Social Sciences and Humanities Open Marketplace, a curated catalog of research tools.

### Availability and Documentation
- **Catalog Presence**: The software is documented in the Social Sciences and Humanities Open Marketplace, with a reference URL (https://marketplace.sshopencloud.eu/tool-or-service/lwRuho) and publication date (November 2022).
- **Language**: Primary documentation and resources are available in English.

### Classification
- **Type**: Instance of "software," as defined by its executable, non-tangible nature.
- **Purpose**: Aligns with applications in data-driven research, emphasizing visual and analytical workflows over raw data processing.

## References

1. [Source](https://marketplace.sshopencloud.eu/tool-or-service/lwRuho)