Orange Blog

By: Dr. Sven Bingert & Steffen Rörtgen, Jul 2, 2019

Data Science Made Easy: How To Identify Hate Comments with AI

The IdeenExpo is a biennial participatory event for children, adolescents and young adults taking place in Hanover, Germany. Companies, research organizations, schools and universities participate to show young people the possibilities of the modern working world and gain their interest in technologies and natural sciences. As a part of one of the biggest research-computing-centers in North Germany the GWDG (Gesellschaft für wissenschaftliche Datenverarbeitung mbh Göttingen) took a part in that event to present the possibilities of Data Science and how its methods can be used in different areas.


By: Ajda Pretnar, Jun 28, 2019

Orange at 32nd Bled eConference

At the invitation of dr. Mirjana Kljajić, we participated in the 32nd Bled eConference. The conference is one of the most important in the region on trends and technologies for electronic communication and this year a short workshop on Data Science with Orange was included in its programme. Photo by Aljaž Ferencek. We covered many topics, including data loading, visualization, construction of a predictive modeling workflow, exploration of decision trees, overfitting, model scoring and of course finally predicting with cross-validated model on a new data set.


By: Ajda Pretnar, Jun 3, 2019

Gene Expression Profiles with Line Plot

Line Plot is one of our recent additions to the visualization widgets. It shows data profiles, meaning it plots values for all features in the data set. Each data instance in a line plot is a line or a ‘profile’. The widget can show four types of information – individual data profiles (lines), data range, mean profile and error bars. It has the same cool features of other Orange visualizations – it is interactive, meaning you can select a subset of data instances from the plot, it allows grouping by a discrete variable, and it highlights an incoming data subset.


By: Ajda Pretnar, May 18, 2019

Business Case Studies with Orange

Previous week Blaž, Robert and I visited Wärtsilä in the lovely Dolina near Trieste, Italy. Wärtsilä is one of the leading designers of lifecycle power solutions for the global marine and energy markets and its subsidiary in Trieste is one of the largest Wärtsilä Group engine production plants. We were there to hold a one-day workshop on data mining and machine learning with the aim to identify relevant use cases in business and show how to address them.


By: Blaz Zupan, Apr 24, 2019

Orange at GIS Ostrava

Ostrava is a city in the north-east of the Czech Republic and is the capital of the Moravian-Silesian Region. GIS Ostrava is a yearly conference organized by Jiří Horák and his team at the Technical University of Ostrava. University has a nice campus with a number of new developments. I have learned that this is the largest university campus in central and eastern Europe, as most of the universities, like mine, are city universities with buildings dispersed around the city.


By: Blaz Zupan, Mar 8, 2019

The Changing Status Bar

Every week on Friday, when the core team of Orange developers meets, we are designing new improvements of Orange’s graphical interface. This time, it was the status bar. Well, actually, it was the status bar quite a while ago and required the change of the core widget library, but it is materializing these days and you will see the changes in the next release. Consider the Neighbors widget. The widget considers the input data and reference data items, and outputs instance form input data that are most similar to the references.

Categories: release Status Bar

By: Blaz Zupan, Mar 1, 2019

Single-Cell Data Science for Everyone

Molecular biologists have in the past twenty years invented technologies that can collect abundant experimental data. One such technique is single-cell RNA-seq, which, very simplified, can measure the activity of genes in possibly large collections of cells. The interpretation of such data can tell us about the heterogeneity of cells, cell types, or provide information on their development. Typical analysis toolboxes for single-cell data are available in R and Python and, most notably, include Seurat and scanpy, but they lack interactive visualizations and simplicity of Orange.


By: Ajda Pretnar, Jan 28, 2019

The Mystery of Test & Score

Test & Score is surely one the most used widgets in Orange. Fun fact: it is the fourth in popularity, right after Data Table, File and Scatter Plot. So let us dive into the nuts and bolts of the Test & Score widget. The widget generally accepts two inputs – Data and Learner. Data is the data set that we will be using for modeling, say, iris.tab that is already pre-loaded in the File widget.


By: Ajda Pretnar, Jan 4, 2019

How to Abuse p-Values in Correlations

In a parallel universe, not so far from ours, Orange’s Correlation widget looks like this. Quite similar to ours, except that this one shows p-values instead of correlation coefficients. Which is actually better, isn’t it? I mean, we have all attended Statistics 101, and we know that you can never trust correlation coefficients without looking at p-values to check that these correlations are real, right? So why on Earth doesn’t Orange show them?


By: Ajda Pretnar, Dec 21, 2018

Scatter Plots: the Tour

Scatter plots are surely one of the best loved visualizations in Orange. Very often, when we teach, people go back to scatter plots over and over again to see their data. We took people’s love for scatter plots to the heart and we redesigned them a bit to make them even more friendly. Our favorite still remains the Informative Projections button. This button helps you find interesting visualizations from all the combinations of your data variables.