By: AJDA, Mar 8, 2017
Thanks to the collaboration with synchrotrons Elettra (Trieste) and Soleil (Paris), Orange is getting an add-on InfraOrange, with widgets for analysis of infrared spectra. Its primary users obviously come from these two institutions, hence we organized the first workshop for InfraOrange at one of them. Some 20 participants spent the first day of the workshop in Trieste learning the basics of Orange and its use for data mining. With Janez at the helm and Marko assisting in the back, we traversed the standard list of visual and statistical techniques and a bit of unsupervised and supervised learning.
By: BLAZ, Mar 6, 2017
February was a month of Orange workshops. Ljubljana: Biologists We (Tomaž, Martin and I) have started in Ljubljana with a hands-on course for the COST Action FA1405 Systems Biology Training School. This was a four hour workshop with an introduction to classification and clustering, and then with application of machine learning to analysis of gene expression data on a plant called Arabidopsis. The organization of this course has even inspired us for a creation of a new widget GOMapMan Ontology that was added to Bioinformatics add-on.
By: AJDA, Feb 23, 2017
Recently, I took on a daunting task - programming my first widget. I’m not a programmer or a computer science grad, but I’ve been looking at Orange code for almost two years now and I thought I could handle it. I set to create a simple Concordance widget that displays word contexts in a corpus (the widget will be available in the future release). The widget turned out to be a little more complicated than I originally anticipated, but it was a great exercise in programming.
By: AJDA, Feb 3, 2017
Sometimes, you need something more. Something different. Something, that helps you look at the world from a different perspective. Sometimes, you simply need to transpose your data. Since version 3.3.9, Orange has a Transpose widget that flips your data table around. Columns become rows and rows become columns. This is often useful, if you have, say, biological data. Related: Datasets in Orange Bioinformatics Today we will play around with brown-selected.tab, a data set on gene expression levels for 79 experiments.
By: BLAZ, Dec 22, 2016
It is the time of the year when we adore Christmas trees. But these are not the only trees we, at Orange team, think about. In fact, through almost life-long professional deformation of being a data scientist, when I think about trees I would often think about classification and regression trees. And they can be beautiful as well. Not only for their elegance in explaining the hidden patterns, but aesthetically, when rendered in Orange.
By: AJDA, Dec 12, 2016
The new Orange release (v. 3.3.9) welcomed a few wonderful additions to its widget family, including Manifold Learning widget. The widget reduces the dimensionality of the high-dimensional data and is thus wonderful in combination with visualization widgets. Manifold Learning widget has a simple interface with powerful features. Manifold Learning widget offers five embedding techniques based on scikit-learn library: t-SNE, MDS, Isomap, Locally Linear Embedding and Spectral Embedding. They each handle the mapping differently and also have a specific set of parameters.
By: AJDA, Nov 30, 2016
Being a political scientist, I did not even hear about data mining before I’ve joined Biolab. And naturally, as with all good things, data mining started to grow on me. Give me some data, connect a bunch of widgets and see the magic happen! But hold on! There are still many social scientists out there who haven’t yet heard about the wonderful world of data mining, text mining and machine learning.
By: AJDA, Nov 25, 2016
Recently we’ve been participating at Days of Computer Science, organized by the Museum of Post and Telecommunications and the Faculty of Computer and Information Science, University of Ljubljana, Slovenia. The project brought together pupils and students from around the country and hopefully showed them what computer science is mostly about. Most children would think programming is just typing lines of code. But it’s more than that. It’s a way of thinking, a way to solve problems creatively and efficiently.
By: AJDA, Nov 18, 2016
Recently Orange and one of its inventors, Blaž Zupan, have been recognized as one of the top 100 changemakers in the region. A 2016 New Europe 100 is an annual list of innovators and entrepreneurs in Central and Eastern Europe highlighting novel approaches to pressing problems. Orange has been recognized for making data more approachable, which has been our goal from the get-go. The tool is continually being developed with the end user in mind - someone who wants to analyze his/her data quickly, visually, interactively, and efficiently.
By: BLAZ, Nov 2, 2016
A Eurostat’s Big Data Workshop recently took place in Ljubljana. In a presentation we have showcased Orange as a tool to teach data science. The meeting was organised by Statistical Office of Slovenia and by Eurostat, a Statistical Office of the European Union, and was a primary gathering of representatives from national statistical institutes joined within European Statistical System. The meeting discussed possibilities that big data offers to modern statistics and the role it could play in statistical offices around the world.