Orange Blog

By: ASTARIC, Oct 13, 2017

Diving Into Car Registration Data

Last week, we presented Orange at the Festival of Open Data, a mini-conference organized by the Slovenian government, dedicated to the promotion of transparent access to government data. In a 10 minute presentation, we showed how Orange can be used to visualize and explore what kinds of vehicles were registered for the first time in Slovenia in 2017. The original dataset is available at theOPSI portal and it consists of 73 files, one for each month since January 2012.


By: BLAZ, Sep 15, 2017

Orange at Station Houston

With over 262 member companies, Station Houston is the largest hub for tech startups in Houston. One of its members is also Genialis, a life science data exploration company that emerged from our lab and is now delivering pipelines and user-friendly apps for analytics in systems biology. Thanks to the invitation by the director of operations Alex de la Fuente, we gave a seminar on Data Science for Everyone. We spoke about how Orange can support anyone to learn about data science and then use machine learning on their own data.


By: AJDA, Aug 28, 2017

Can We Download Orange Faster?

One day Blaž and Janez came to us and started complaining how slow Orange download is in the US. Since they hold a large course at Baylor College of Medicine every year, this causes some frustration. Related: Introduction to Data Mining Course in Houston But we have the data and we’ve promptly tried to confirm their complaints by analyzing them… well, in Orange! First, let us observe the data. We have 4887 recorded download sessions with one meta feature reporting on the country of the download and four features with time, size, speed in bytes and speed in gigabytes of the download.

Categories: analysis download orange3

By: AJDA, Aug 4, 2017

Text Analysis: New Features

As always, we’ve been working hard to bring you new functionalities and improvements. Recently, we’ve released Orange version 3.4.5 and Orange3-Text version 0.2.5. We focused on the Text add-on since we are lately holding a lot of text mining workshops. The next one will be at Digital Humanities 2017 in Montreal, QC, Canada in a couple of days and we simply could not resist introducing some sexy new features. Related: Text Preprocessing


By: AJDA, Jul 28, 2017

Support Orange Developers

Do you love Orange? Do you think it is the best thing since sliced bread? Want to thank all the developers for their hard work? Nothing says thank you like a fresh supply of ice cream and now you can help us stock our fridge with your generous donations. 🍦🍦🍦 Donate Support open source software and the team behind Orange. We promise to squander all your contributions purely on ice cream.

Categories: orange3

By: AJDA, Jul 14, 2017

Miniconda Installer

Orange has a new friend! It’s Miniconda, Anaconda’s little sister. For a long time, the idea was to utilize the friendly nature of Miniconda to install Orange dependencies, which often misbehaved on some platforms. Miniconda provides Orange with Python 3.6 and conda installer, which is then used to handle everything Orange needs for proper functioning. So sssssss-mooth! Miniconda Installer Please know that our Miniconda installer is in a beta state, but we are inviting adventurous testers to try it and report any bugs they find to our issue tracker [there won’t be any of course!


By: AJDA, Jun 19, 2017

Text Preprocessing

In data mining, preprocessing is key. And in text mining, it is the key and the door. In other words, it’s the most vital step in the analysis. Related: Text Mining add-on So what does preprocessing do? Let’s have a look at an example. Place Corpus widget from Text add-on on the canvas. Open it and load Grimm-tales-selected. As always, first have a quick glance of the data in Corpus Viewer.


By: BLAZ, Apr 25, 2017

Outliers in Traffic Signs

Say I am given a collection of images of traffic signs, and would like to find which signs stick out. That is, which traffic signs look substantially different from the others. I would assume that the traffic signs are not equally important and that some were designed to be noted before the others. I have assembled a small set of regulatory and warning traffic signs and stored the references to their images in a traffic-signs-w.


By: AJDA, Apr 7, 2017

Model replaces Classify and Regression

Did you recently wonder where did Classification Tree go? Or what happened to Majority? Orange 3.4.0 introduced a new widget category, Model, which now contains all supervised learning algorithms in one place and replaces the separate Classify and Regression categories. This, however, was not a mere cosmetic change to the widget hierarchy. We wanted to simplify the interface for new users and make finding an appropriate learning algorithm easier. Moreover, now you can reuse some workflows on different data sets, say housing.


By: AJDA, Apr 3, 2017

Image Analytics: Clustering

Data does not always come in a nice tabular form. It can also be a collection of text, audio recordings, video materials or even images. However, computers can only work with numbers, so for any data mining, we need to transform such unstructured data into a vector representation. For retrieving numbers from unstructured data, Orange can use deep network embedders. We have just started to include various embedders in Orange, and for now, they are available for text and images.