Date: 24th August 2022
Orange data mining software is a tool that can be used to perform multiple data driven tasks, such as data visualization, machine learning, statistics, etc.
It is a GUI based software program built on Python that provides a visual programming environment for the users to design their data-driven workflows. It is accomplished through small units of function blocks called widgets. These are the entities in the software that takes an input and provides an output. These widgets can be connected through links in order to create the desired workflow.
Key takeaways:
Orange provides a visual programming environment to process data for different end goals.
It allows the import/ export of the data in multiple formats, such as .csv, .tab, and so on
There are multiple widgets that allows the visualization of data into plots such as boxplot, scatterplot, violin plot , etc.
Supervised and Unsupervised Machine Learning models can be trained on the data, and also can be evaluated, and exported from the interface
The addons provide dedicated widgets to create analysis specific workflows, such as timeseries, image-analytics, etc.
Figure1: An illustration of a complex workflow in Orange environment. One can clearly observe the widgets and their interconnections in the workflow.