PRACTICAL -4
Aim :Visual Programming with Orange Tool, What is visual programming
Orange components are called widgets and they range from simple data visualization, subset selection, and pre-processing 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.
Dataset-1 = Heart_Disease
Dataset-2= Wine_Quality
Histogram for age attribute in Heart_Disease Dataset
Scatterplot with X axis as Age and Y axis as Cholesterol
Datatable for Heart_Disease Dataset
Data Info
Silhouette plot showing Manhattan distance of chest pain attribute value -
Mosaic Display with X axis as ST exercise attribute and Y axis as Age attribute.
Inputting missing values in Wine_Quality Data-set using Average method.
Filtering Columns from data-set and the features which are on the right side will remain present in the next transition.
Price vs Point scatter-plot for Wine_Quality Data-set
Heat Map for Heart_Disease Dataset
Box Plot
Line Plot
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