Data Transformation is one of the key aspects of working for business data analysis, data science or even for the pre-work of artificial intelligence. In this exercise we will see how to transform data in R. R is an open-sourced programming language for statistical computing and machine learning supported by the R Foundation for Statistical Computing. It is easy to learn and comfortable to work with its widely used integrated development environment- RStudio. The R package that we will use here is tidyverse.

The tidyverse is an opinionated collection of R packages designed for data science. …

Your innovative idea may come from a detail exploration of your data. Most of the cases that data will contain both continuous and categorical variables. You will need to find explainable pattern from this. What if it can be displayed methodologically in a single diagram and you can do it with simple and short lines of coding?

Why R?

R is an open-sourced programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing. It is easy to learn and comfortable to work with its widely used integrated development environment- RStudio.

Install Packages

First of all we need to install…

Clustering with R

This article is about hands-on Cluster Analysis (an Unsupervised Machine Learning) in R with the popular ‘Iris’ data set.

Let’s brush up some concepts from Wikipedia

Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of Artificial Intelligence. Machine learning algorithms build a mathematical model based on sample data, in order to make predictions or decisions without being explicitly programmed to do so.

Supervised Learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.

Unsupervised Learning is a type…