By: Blaž Zupan, Nov 25, 2022
Videos on hierarchical clustering
Six new videos explaining hierarchical clustering in Orange are now online on YouTube.
Orange Blog
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Categories:
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- visualization
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- addons
- education
- analysis
- classification
- data
- examples
- gsoc
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.
By: Janez Demšar, Oct 10, 2022
Quick previews in Orange widgets
Widgets can now show a quick preview of their output data.
By: Ajda Pretnar Žagar, Aug 31, 2022
Socio-economic data at your fingertips
New World Happiness add-on for retrieving socio-economic data from the OECD database joins the Orange family.
By: Ajda Pretnar Žagar, Aug 4, 2022
Timeseries add-on lost a lot of weight
Timeseries' visualizations are becoming fully PyQt, making them easier to maintain. We've also fixed many bugs, which should make working with the timeseries a joy once again.
By: Blaž Zupan, Jun 16, 2022
Ideas and Notes for Teachers
We are crafting free educational material to help in data science training.
By: Zala Gruden, Jun 2, 2022
How to grow trees in a marmalade factory?
We visited fourthgraders in our local elementary school and taught them about clustering and data collection.
By: Ela Praznik, May 25, 2022
An introduction to the Kaplan-Meier Estimator
The Survival Analysis add-on offers accesible tools for survival analysis, the Kaplan-Meier widget being a prime example. In this blogpost we provide an introduction to the Kaplan-Meier Estimator using a simple example and show how the tool can be used in Orange on larger datasets.
By: Ajda Pretnar Žagar, May 20, 2022
Confusion matrix for regression?
Confusion matrix shows classification error, but what is a suitable alternative for observing regression errors in Orange?
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.
