Data Desk

Data Desk

Data Description
Scilab

Scilab

Scilab Enterprises
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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

Numerical analysis or Scientific computing is the study of approximation techniques for numerically solving mathematical problems. Scilab provides graphics functions to visualize, annotate and export data and offers many ways to create and customize various types of plots and charts. Scilab is a high level programming language for scientific programming. It enables a rapid prototyping of algorithms, without having to deal with the complexity of other more low level programming language such as C and Fortran (memory management, variable definition). This is natively handled by Scilab, which results in a few lines of code for complex mathematical operations, where other languages would require much longer codes. It also comes with advanced data structure such as polynomials, matrices and graphic handles and provides an easily operable development environment.

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

Statistical Analysis solution for companies

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 3.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 3.0 / 5
support 3.0 / 5

Pros & Cons from Real Users

Pros

  • The level of compatibility between Scilab, Matlab and Octave is close to 99% which make transitioning from one to another a very easy task. The portability of your codes between these three packages is straightforward. The learning curve is pretty much flat. Scilab is available on all 3 platforms (Windows, Linux, and Mac OS X)

Cons

  • Overall, Scilab's performance is less consistent than that of Matlab or Octave in most situations. Of course, it depends on what type of problem you're working on, but for my particular needs, I had always better performance (computational time, memory allocation,...) with Octave than with Scilable. Also, one of the limitation is that Scilab, has much less toolboxes and libraries than its two counterparts. If your looking at basic use of Scilab then you will be fine. But if you're an advanced user, you may feel the limitations.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Data Description
datadescription.com

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Alternatives

Alternatives

MATLAB

MATLAB

The MathWorks
SigmaPlot

SigmaPlot

Systat Software
MatDeck

MatDeck

LabDeck
CRMUnleashed

CRMUnleashed

Force Software
DataMelt

DataMelt

jWork.ORG

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

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

Overleaf

Integrations

Overleaf
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