R Tutorials

In this R tutorial we will analyze data from the Wisconsin breast cancer dataset. The k-NN algorithm will be implemented to analyze the types of cancer for diagnosis. Nearest Neighbor is defined by the characteristics of classifying unlabeled examples by assigning then the class of similar labeled examples (tomato – is…

In this R tutorial, we will take a look into for loops. At a very basic level, a loop will iterate over a sequence under set conditions that must be met. In other, words it can allow the automation of code that calls for repetition. Vector is a basic data…

In this R tutorial, we will analyze the most common words in the 2019 Democratic Debate Nights One and Two. The 2019 Democratic Debate transcripts will be classified by text analysis and visualize the most frequently said words using Wordcloud. 2019 Democratic Debate Night One Candidates: Cory Booker – Senator from…

In this R tutorial, we will learn how to create a heatmap in R with the use of data from multiple Lamborghini models over the years. The Lamborghini model data will consist of rank, number of cylinders, total engine litres, top speed, total produced, production year started and production year…

In this R tutorial, we will learn some basic functions and learn to use the Plotly package in R to build histograms such as a basic histogram, normalized histogram and a linear histogram with the data from the used cars dataset. Install and Load Packages In order to build the…