These skulls look purple and orange. They are both red.

You are able to take advantage of many Bonnier products, services, and websites without providing any information that personally identifies you by name, address, or other personally-identifying information.

Some types of personal information will NEVER be requested or collected, such as information on your race or ethnic origin, political opinions, trade union memberships, religious beliefs, health, sex life, or sexual orientation.

If a third-party sponsor beyond our control will obtain information that you supply us, we will notify you at the time we collect the information from you.

If you provide us someone else’s personally-identifying information for referral purposes, we may use that information to invite them to visit our websites or to provide them information about our products or services.

We store your personal information on systems behind firewalls that are only accessible to a limited number of persons, each of whom is required to keep the information confidential.

Though we do take appropriate steps to review and update the information that we store to ensure that it is accurate, complete, and current, we also depend on you to update or correct your personal information when necessary.

You will still receive information from Bonnier and its various brands, but we will not share your address information with anyone else.

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Orange – Interactive Data Visualization

Orange is all about data visualizations that help to uncover hidden data patterns, provide intuition behind data analysis procedures or support communication between data scientists and domain experts.

Visualization widgets include scatter plot, box plot and histogram, and model-specific visualizations like dendrogram, silhouette plot, and tree visualizations, just to mention a few.

Any such interaction will instruct visualization to send out a data subset that corresponds to the selected part of visualization.

Scatter plot is great for visualizing correlations between pair of attributes, box plot for displaying basic statistics, heat map to provide an overview across entire data set, and projection plots like MDS for plotting the multinomial data in two dimensions.

Interactive visualizations enable exploratory data analysis.

One can select interesting data subsets directly from plots, graphs and data tables and mine them in them downstream widgets.

Say, when data has many features, which feature pair should we visualize in a scatter plot to provide most information? Intelligent visualization comes to the rescue! In Orange’s scatter plot, this is called Score Plots.

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Orange is Getting Smarter

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.

Among Orange users, the most popular way of adding a new widget is by dragging the communication line from the output widget – we think this is the most efficient way of using Orange too.

Orange recently implemented a basic form of opt-in usage tracking, specifically targeting how users add widgets to the canvas.

Care was put into minimizing the intrusiveness of data collection methods, while maximizing the usefulness of the collected data.

Furthermore, the data provides us the first insight into how users interact with Orange.

Each bit of collected data comes at a cost to the privacy of the user.

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