Data Science 👩‍💻 | Getting Started with Orange Tool

Orange Tool

What is Orange Tool?

Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative data analysis and interactive data visualization, and can also be used as a Python library.

  • Widgets: The various components present in Orange are known as widgets and they are divided into various categories like Data, Visualize, Model, Evaluate and so on.
  • Workflows: Orange workflows consist of components that read, process and visualize data. We call them “widgets.” We place the widgets on a canvas. Widgets communicate by sending information along with a communication channel. An output from one widget is used as input to another.

How to use workflows in Orange?

I have created a simple workflow wherein the inbuilt Iris dataset provided by Orange is being used. The workflow is such that data from the dataset is sent to the data table, to Distributions for creating a distribution and a Scatter Plot is plotted from the dataset.To create this workflow we load the dataset using the File widget, and then flow between File-Data Info, File-Data Table, File-Distributions and File-Scatter Plot is created.

Orange Tool Data Structure file

How to do basic data exploration (like data distribution, data information).

Data Information

Dataset Information
Data Table
Data distribution
Scatter plot

How to load your data in Orange and how to load external data from API in Orange?

To load your data in Orange select the File Widget and from there in you can either select the dataset provided by Orange or else browse to the dataset file in your local machine to load the data. If you want load external data use can select the URL option in the file widget, where one can paste the external dataset link to load the data.

Loading external data



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