By: AJDA, Mar 28, 2018
We have just concluded our enhanced Introduction to Data Science workshop, which included several workflows for spectroscopy analysis. Spectroscopy add-on is intended for the analysis of spectral data and it is just as fun as our other add-ons (if not more!). We will prove it with a simple classification workflow. First, install Spectroscopy add-on from Options - Add-ons menu in Orange. Restart Orange for the add-on to appear. Great, you are ready for some spectral analysis!
By: BLAZ, Mar 5, 2018
HHMI | Janelia is one of the prettiest researcher campuses I have ever visited. Located in Ashburn, VA, about 20 minutes from Washington Dulles airport, it is conveniently located yet, in a way, secluded from the buzz of the capital. We adored the guest house with a view of the lake, tasty Janelia-style breakfast (hash-browns with two eggs and sausage, plus a bagel with cream cheese) in the on-campus pub, beautifully-designed interiors to foster collaborations and interactions, and late-evening discussions in the in-house pub.
By: AJDA, Feb 16, 2018
A lot of you have been interested in enabling SQL widget in Orange, especially regarding the installation of a psycopg backend that makes the widget actually work. This post will be slightly more technical, but I will try to keep it to a minimum. Scroll to the bottom for installation instructions. Related: SQL for Orange Why won’t Orange recognize psycopg? The main issue for some people was that despite having installed the psycopg module in their console, the SQL widget still didn’t work.
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, 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.