Six new videos explaining hierarchical clustering in Orange are now online on YouTube
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Workshop about spectral data analysis in a synchrotron
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Perform simple data analysis with clever data visualization
Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections
Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections

Interactive data exploration for rapid qualitative analysis with clean visualizations
Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy
Place widgets on the canvas, connect them, load your datasets and harvest the insight!

Teachers and Students Love It

When teaching data mining, we like to illustrate rather than only explain
And Orange is great at that
Used at schools, universities and in professional training courses across the world, Orange supports hands-on training and visual illustrations of concepts from data science
There are even widgets that were especially designed for teaching

Use various add-ons available within Orange to mine data from external data sources, perform natural language processing and text mining, conduct network analysis, infer frequent itemset and do association rules mining
Additionally, bioinformaticians and molecular biologists can use Orange to rank genes by their differential expression and perform enrichment analysis

Ferenc Borondics, Ph.D.

Principal beamline scientist at SMIS
SOLEIL synchrotron, France
"The scientific community is in need of tools that allow easy construction of workflows and visualizations and are capable of analyzing large amounts of data
Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive
It provides a clean, open source platform and the possibility to add further functionality for all fields of science
"

Francesca Vitali, Ph.D.

Research Assistant Professor
Center for Biomedical Informatics & Biostatistics, The University of Arizona
"I teach Orange workshops monthly to a diverse audience, from undergrad students to expert researchers
Orange is very intuitive, and, by the end of the workshop, the participants are able to perform complex data visualization and basic machine learning analyses
Most of our attendees have been able to incorporate this tool in their research practice
"

Gad Shaulsky, Ph.D.

Molecular biologist and Director of Graduate Studies
Baylor College of Medicine, Houston, USA
"My laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments
Orange allows me to analyze my data even though I don’t know how to program
It also allows me to communicate with my collaborators, who are experts in data mining, and with my colleagues and trainees
"