By: AJDA, Jan 26, 2018
Scatter plots are great! But sometimes, we need to plot more than two variables to truly understand the data. How can we achieve this, knowing humans can only grasp up to three dimensions? With an optimization of linear projection, of course! Orange recently re-introduced FreeViz, an interactive visualization for plotting multiple variables on a 2-D plane. Let’s load zoo.tab data with File widget and connect FreeViz to it. Zoo data has 16 features describing animals of different types - mammals, amphibians, insects and so on.
By: AJDA, Jan 5, 2018
We all know that sometimes many is better than few. Therefore we are happy to introduce the Stack widget. It is available in Prototypes add-on for now. Stacking enables you to combine several trained models into one meta model and use it in Test&Score just like any other model. This comes in handy with complex problems, where one classifier might fail, but many could come up with something that works. Let’s see an example.
By: THOCEVAR, Dec 23, 2017
The Orange3 Network add-on contains a convenient Network Explorer widget for network visualization. Orange uses an iterative force-directed method (a variation of the Fruchterman-Reingold Algorithm) to layout the nodes on the 2D plane. The goal of force-directed methods is to draw connected nodes close to each other as if the edges that connect the nodes were acting as springs. We also don’t want all nodes crowded in a single point, but would rather have them spaced evenly.
By: AJDA, Nov 29, 2017
On Monday we finished the second part of the workshop for the Statistical Office of Republic of Slovenia. The crowd was tough - these guys knew their numbers and asked many challenging questions. And we loved it! One thing we discussed was how to properly test your model. Ok, we know never to test on the same data you’ve built your model with, but even training and testing on separate data is sometimes not enough.
By: AJDA, Nov 17, 2017
We’ve been having a blast with recent Orange workshops. While Blaž was getting tanned in India, Anže and I went to the charming Liverpool to hold a session for business school professors on how to teach business with Orange. Related: Orange in Kolkata, India Obviously, when we say teach business, we mean how to do data mining for business, say predict churn or employee attrition, segment customers, find which items to recommend in an online store and track brand sentiment with text analysis.
By: BLAZ, Nov 8, 2017
We have just completed the hands-on course on data science at one the most famous Indian educational institutions, Indian Statistical Institute. A one week course was invited by Institute’s director Prof. Dr. Sanghamitra Bandyopadhyay, and financially supported by the founding of India’s Global Initiative of Academic Networks. Indian Statistical Institute lies in the hearth of old Kolkata. A peaceful oasis of picturesque campus with mango orchards and waterlily lakes was founded by Prof.
By: AJDA, Nov 3, 2017
We know you’ve missed it. We’ve been getting many requests to bring back Neural Network widget, but we also had many reservations about it. Neural networks are powerful and great, but to do them right is not straight-forward. And to do them right in the context of a GUI-based visual programming tool like Orange is a twisted double helix of a roller coaster. Do we make each layer a widget and then stack them?
By: AJDA, Oct 26, 2017
Our streak of workshops continues. This time we taught professionals from public administration how they can leverage data analytics and machine learning to retrieve interesting information from surveys. Thanks to the Ministry of Public Administration, this is only the first in a line of workshops on data science we are preparing for public sector employees. For this purpose, we have designed EnKlik Anketa widget, which you can find in Prototypes add-on.
By: ASTARIC, Oct 13, 2017
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: AJDA, Sep 22, 2017
Two days ago we held another Introduction to Data Mining workshop at our faculty. This time the target audience was a group of public sector professionals and our challenge was finding the right data set to explain key data mining concepts. Iris is fun, but not everyone is a biologist, right? Fortunately, we found this really nice data set with ballot counts from the Slovenian National Assembly (thanks to Parlameter).