Category: R

Data Format in R, You’ll learn about data formats and why reformatting data can help you enhance your data analysis in this tutorial. Data is typically acquired from a variety of sources and by...

Convert Categorical Variable to Numeric in R, In this tutorial, you’ll learn how to convert categorical values into quantitative values to make statistical modeling easier. Most statistical models can’t take in strings as inputs....

Binning in R, you will learn about data binning in this tutorial. Binning develops distinct categories from numerical data that are frequently continuous. It’s very handy for comparing different sets of data. Binning is...

Data Normalization in R, data normalization is a vital technique to understand in data pre-processing, and you’ll learn about it in this tutorial. Different numerical data columns may have vastly different ranges, making a...

R Packages for Data Science, you’ll learn about the tidyverse library in this lesson, which is a collection of R tools that you can use to manipulate your datasets. You’ll also discover how to...

Shiny Basics, you will learn two standards for constructing a simple Shiny application in this tutorial. You’ll also learn how the program is structured, the components of the user interface, and where to put...

Box Plot Graph in R Language, we will demonstrate how to make a box plot in the R programming language. A box plot summarises the distribution of numerical data that has been sorted. The...

Line Plot in R, this tutorial will show you how to create simple line plots, adjust the axis labels and colors of plots, and create multiple line graphs. Line plots aid in the visualization...

Data Visualization with R, In this tutorial, we will describe how to create a scatter plot in the R programming language. “ggplot2” is a fantastic package for making visually appealing data displays. If you...

Deep Belief Networks (DBN) and Autoencoders, Let’s take a look at DBNs and how they are created on top of RBMs. If you haven’t read the previous posts yet, you can read them by...