By: IRGOLIC, Nov 22, 2018
In the past few months, Orange has been getting smarter and sleeker. Since version 3.15.0, Orange remembers which distinct widgets users like to connect, adjusting the sorting on the widget search menu accordingly. Additionally, there is a new look for the Edit Links window coming soon. Orange recently implemented a basic form of opt-in usage tracking, specifically targeting how users add widgets to the canvas. Word cloud of widget popularity in Orange.
By: AJDA, May 3, 2018
Janez and I have recently returned from a two-week stay in Moscow, Russian Federation, where we were teaching data mining to MA students of Applied Statistics. This is a new Master’s course that attracts the best students from different backgrounds and teaches them statistical methods for work in the industry. It was a real pleasure working at HSE. The students were proactive by asking questions and really challenged us to do our best.
By: AJDA, Feb 2, 2018
This week, Primož and I flew to the south of Italy to hold a workshop on Image Analytics through Data Mining at AIUCD 2018 conference. The workshop was intended to familiarize digital humanities researchers with options that visual programming environments offer for image analysis. In about 5 hours we discussed image embedding, clustering, finding closest neighbors and classification of images. While it is often a challenge to explain complex concepts in such a short time, it is much easier when working with Orange.
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, 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, 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, Aug 28, 2017
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.
By: AJDA, Aug 4, 2017
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, Jun 5, 2017
One more exciting visualization has been introduced to Orange - a Nomogram. In general, nomograms are graphical devices that can approximate the calculation of some function. A Nomogram widget in Orange visualizes Logistic Regression and Naive Bayes classification models, and compute the class probabilities given a set of attributes values. In the nomogram, we can check how changing of the attribute values affect the class probabilities, and since the widget (like widgets in Orange) is interactive, we can do this on the fly.