R programming has become one of the best data analytics tools especially when it comes for visual analytics. A great community contribution makes it easier to learn, use and share for the effective visualization. It is imperative to say that proper visualization is a very important factor for data scientists & AI specialists. Even if you are only interested to work with business communication with impactful visualizations, R can provide you a comprehensive way of work where you have full freedom to play with your data and create useful graphs for your audiences. It is an open-sourced tool by the…

**D**ata **T**ransformation 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

tidyverseis 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?

**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**.

First of all we need to install…

*Clustering with R*

Let’s brush up some concepts from *Wikipedia*

Machine learningis the study of computer algorithms that improve automatically through experience. It is seen as a subset ofArtificial 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 Learningis 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 Learningis a type…

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