Data Desk

Data Desk

Data Description
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About

Beyond the most trivial cases, there is little value in blindly applying formulas to data. Real world data analysis is a multi-step process, and Data Desk speeds up this process by allowing you to select suspicious-looking outlying cases in one visual, and keeping your point selected as you change visualizations. Spot outliers and trends at a glance. By allowing users to quickly re-express data in different ways, Data Desk encourages experimentation and composition to create more compelling models. Select and categorize data across different visualizations in real-time. Make plots and perform sophisticated analyses with Data Desk’s graphical interface, then just click to export the R or Python code that reproduces what you’ve done. Data Desk cleans your data to R’s standards (no choking on stray characters). Comments you make in your Data Desk windows appear as comments in your code.

About

Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Statistical Analysis solution for companies

Audience

Posit is ideal for data scientists, analysts, and enterprise teams seeking powerful, open-source-driven tools for coding, collaboration, and secure data-science deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • Powerful statistical tools. Good quality customisable plots, all different types using all different data and models. Easy to import from csv and there's plenty of datasets around if you go looking. Easy to create and export graphs. Being able to quickly and easily visualise (and share) data is more useful than I could have imagined. All the "academic" data online is suddenly easy to use. I haven't even scratched the surface of community created packages, but they're easy to install, not always so easy to use.

Cons

  • You can get unhelpful syntax error messages. The basics work well but sometimes just changing something (eg colours) in specialised plots feels like a hard programming puzzle. It's mostly straight-forward like "plot(data)", but the commands are written in a programming language and get tricky depending on your needs.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Data Description
datadescription.com

Company Information

Posit
Founded: 2009
United States
posit.co

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Alternatives

SigmaPlot

SigmaPlot

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Jupyter Notebook

Jupyter Notebook

Project Jupyter
DataMelt

DataMelt

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Ducen

Categories

Categories

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

Coginiti
Jupyter Notebook
Positron
Python
R
RStudio
Snowflake Cortex AI
Visual Studio Code

Integrations

Coginiti
Jupyter Notebook
Positron
Python
R
RStudio
Snowflake Cortex AI
Visual Studio Code
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Claim Data Desk and update features and information
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