Getting Started With Orange Tool
What Is Orange Tool?
Orange is a component-based visual programming software package for data visualization, machine learning, data mining, and data analysis.
Orange components are called widgets and they range from simple data visualization, subset selection, and preprocessing, to empirical evaluation of learning algorithms and predictive modeling.
Visual programming is implemented through an interface in which workflows are created by linking predefined or user-designed widgets, while advanced users can use Orange as a Python library for data manipulation and widget alteration.
Using of orange tool
Firstly, we open the Orange tool and create a simple workflow as shown in image below with various widgets such as File, Data info, Data table, scatter plot and Distributions. Once creating we connect them using the common connectors to the file.
Data Information
To get the information about the data loaded in the file widget we can create a flow between the File widget and use the Data Info Widget which shows the name, description, row count, column count, features and target values in the data-set in File widget.
Now select the Data Table from the left panel and drag it to the canvas. we can drag a flow between File and Data Table widget. Now click on the Data Table you can see the data of you data-set in tabular form. In below image the highlighted data is target variable.
Data Distribution
Use the Data Distribution widget to get the graphical representation of the data-set values. Here I got the distribution for various features from data-set.
You can observe that for the feature like petal width the data is not clearly distributed for the target variable category, but on selecting filter based on the sepal width the data is distributed properly to three different categories.
We can also use the widget of Scatter Plot for plotting for different kinds of feature pairs. In the below image Scatter Plot is plotted for the feature pair of petal length and petal width.
We can also click on Find Informative Projections which will give us best projections we can have automatically.
Here we have used Iris Data-set provided by the Orange Tool but You can upload your data from API in Orange Tool.
To load your data in Orange select the File Widget and from there in you can either select the data-set provided by Orange or else browse to the data-set file in your local machine to load the data.
If you want to load external data use can select the URL option in the File widget, where one can paste the external data-set link to load the data.
