Orange Blog

By: Marko Toplak, Nov 14, 2022

Orange in a synchrotron

We taught a three-day workshop on Orange for spectral data in UK’s national synchrotron, Diamond Light Source.

Categories: workshop addons

By: Noah Novšak, May 13, 2022

Predictive Modelling with Attribute Interactions

The Interactions widget has been added back to Orange 3. Illustrating how to use attribute interactions to improve predictive models.


By: Andreja Kovačič, Apr 20, 2020

Data Mining COVID-19 Epidemics: Part 3

Inspecting and comparing Covid-19 time trends, absolute and relative growth.


By: Robert Cvitkovič, Apr 13, 2020

Data Mining COVID-19 Epidemics: Part 2

Visualizing COVID-19 data using area and point maps and interactive timeseries.


By: AJDA, Sep 21, 2018

Orange in Space

Did you know that Orange has already been to space? Rosario Brunetto (IAS-Orsay, France) has been working on the analysis of infrared images of asteroid Ryugu as a member of the JAXA Hayabusa2 team. The Hayabusa2 asteroid sample-return mission aims to retrieve data and samples from the near-Earth Ryugu asteroid and analyze its composition. Hayabusa2 arrived at Ryugu on June 27 and while the spacecraft will return to Earth with a sample only in late 2020, the mission already started collecting and sending back the data.


By: AJDA, Sep 11, 2018

Text Workshops in Ljubljana

In the past month, we had two workshops that focused on text mining. The first one, Faksi v praksi, was organized by the University of Ljubljana Career Centers, where high school students learned about what we do at the Faculty of Computer and Information Science. We taught them what text mining is and how to group a collection of documents in Orange. The second one took on a more serious note, as the public sector employees joined us for the third set of workshops from the Ministry of Public Affairs.


By: ANDREJA, Aug 27, 2018

Explaining Kickstarter Success

On Kickstarter most app ideas don’t get funded. But why is that? When we are looking for possible explanations, it is easy to ascribe the failure to the type of the idea. But what about those rare cases, where an app idea gets funded? Can we figure out why a particular idea succeeded? Our new widget Explain Predictions can do just that - explain why they will succeed. Or at least, explain why the classifier thinks they will.


By: AJDA, Jul 17, 2018

Data Mining and Machine Learning for Economists

Last week Blaž, Marko and I held a week long introductory Data Mining and Machine Learning course at the Ljubljana Doctoral Summer School 2018. We got a room full of dedicated students and we embarked on a journey through standard and advanced machine learning techniques, all presented of course in Orange. We have covered a wide array of topics, from different clustering techniques (hierarchical clustering, k-means) to predictive models (logistic regression, naive Bayes, decision trees, random forests), regression and regularization, projections, text mining and image analytics.


By: AJDA, May 30, 2018

Spectroscopy Workshop at BioSpec and How to Merge Data

Last week Marko and I visited the land of the midnight sun - Norway! We held a two-day workshop on spectroscopy data analysis in Orange at the Norwegian University of Life Sciences. The students from BioSpec lab were yet again incredible and we really dug deep into Orange. Related: Orange with Spectroscopy Add-on A class full of dedicated scientists. One thing we did was see how to join data from two different sources.


By: AJDA, May 9, 2018

Clustering of Monet and Manet

Ever had a hard time telling the difference between Claude Monet and Édouard Manet? Orange can help you cluster these two authors and even more, discover which of Monet’s masterpiece is indeed very similar to Manet’s! Use Image Analytics add-on and play with it. Here’s how: