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features
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Description

Utilize open-source machine learning tools and data visualization techniques to create dynamic data analysis workflows in a visual format, supported by a broad and varied collection of resources. Conduct straightforward data assessments accompanied by insightful visual representations, and investigate statistical distributions through box plots and scatter plots; for more complex inquiries, utilize decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even intricate multidimensional datasets can be effectively represented in 2D, particularly through smart attribute selection and ranking methods. Engage in interactive data exploration for swift qualitative analysis, enhanced by clear visual displays. The user-friendly graphic interface enables a focus on exploratory data analysis rather than programming, while intelligent defaults facilitate quick prototyping of data workflows. Simply position widgets on your canvas, link them together, import your datasets, and extract valuable insights! When it comes to teaching data mining concepts, we prefer to demonstrate rather than merely describe, and Orange excels in making this approach effective and engaging. The platform not only simplifies the process but also enriches the learning experience for users at all levels.

Description

Simplify your data management with Stagraph, a user-friendly visual platform that merges the capabilities of data-science languages with the ease of Excel. This all-in-one tool eliminates the hassle of transferring data between multiple applications, allowing for seamless data import, wrangling, and visualization in a single environment. Generate actionable insights with just a few clicks, all without the need for coding. Stagraph also offers flexibility, enabling you to export your results for use outside the platform, whether offline or online, in interactive dashboards, reports, or other BI applications and R-based tools. Its interface supports direct connections to essential file formats like Excel, CSV, and DBF, while also allowing for data retrieval from databases through ODBC connections. Furthermore, users can create custom datasets using the built-in spreadsheet, and access virtually any data source with the help of external R packages, making Stagraph a versatile choice for data analysis. With Stagraph, the possibilities for data exploration and utilization are vast, ensuring you have the right tools at your fingertips.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$199 per user per year
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

University of Ljubljana

Country

Slovenia

Website

orange.biolab.si

Vendor Details

Company Name

Stagraph

Country

Slovakia

Website

stagraph.com

Product Features

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation Yes 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Data Visualization

Analytics Yes 
Content Management No 
Dashboard Creation Yes 
Filtered Views Yes 
OLAP No 
Relational Display No 
Simulation Models Yes 
Visual Discovery Yes 

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