Practical4

 

Practical 4

 AIM:

 Visual programming with orange tool

THEORY: 

Visual programming is a type of programming language that lets humans describe processes using illustration. Whereas a typical text-based programming language makes the programmer think like a computer, a visual programming language lets the programmer describe the process in terms that make sense to humans.A visual programming language helps the programmer to explain the process in terms that make sense to humans, while a traditional text-based programming language lets the programmer think like a machine. A VPL allows programming with visual expressions, spatial arrangements of text and graphic symbols, used either as elements of syntax or secondary notation.

Dataset Description:

The Life Expectancy(WHO) dataset has columns on the factors helpful in predicting the Life expectancy.

Total rows: 2938

Total columns: 22

Task:

                                               

Workflow

Training data

Testing data

Select target variable

Selecting cross validation

Predicting classes for given data

Linear Regression

Link of this practical:link 

Questions and Answers:

1. Does this visual programing is enough for data analytics?

A.   No, it is not enough to do data analysis. It requires even more deep studies which can be done using SQL and python scripts. More work can be accomplished if we connect python with orange and then do the analysis.

2.  How to get much more deeper insights of data?

A.   We can get deeper insights by using python scripts in orange tool or import orange package in any python environment. In such a way we can get deeper insights by combining their power.