# Category: Methods

## When to Use plotly?

When to Use plotly?, as you can see, has a number of features that make it exciting and fun to use. There are numerous situations where ggplot or plotly could be used, but the...

## PCA for Categorical Variables in R

PCA for Categorical Variables in R, Using Principal Component Analysis to minimize the dimensionality of your data frame may have crossed your mind (PCA). However, can PCA be applied to a data set with...

## How to combine Multiple Plots in R

How to combine Multiple Plots in R, recently came across Thomas Lin Pedersen’s patchwork program, and how simple it is to use this package to integrate numerous ggplot2 plots into a single plot composition....

## How to make a connected scatter plot in R?

How to make a connected scatter plot in R?, With the help of geom_path, you can depict the relationship between any two variables in a data frame. library(ggplot2)x <- c(1, 2, 3, 4, 5,...

## XGBoost’s assumptions

XGBoost’s assumptions, First will provide an overview of the algorithm before we dive into XGBoost’s assumptions. Extreme Gradient Boosting, often known as XGBoost, is a supervised learning technique that belongs to the family of...

## Method for Counting TRUE Values in a Logical Vector

Method for Counting TRUE Values in a Logical Vector, The following techniques can be used to determine how many TRUE values are present in a logical vector in R: Method 1: Use sum() Method...

## SAS or R-Yould Should Know!

SAS or R-Yould Should Know the background. What is SAS? Data analytics are performed using statistical analysis software, or SAS. It enables you to apply high-quality methods and procedures that increase worker output and...

## Difference Between a Histogram and a Bar Graph

Difference Between a Histogram and a Bar Graph, The Bar graph is a graphical representation of data that uses bars to compare different categories of data, whereas the Histogram is a graphical representation of...

## 10 Best R Programming Books

10 Best R Programming Books, The R language has a large library of statistical and graphical techniques. It consists of time series, linear regression, machine learning methods, etc. Do you want to study the...

## Simple Linear Regression in R

Simple Linear Regression in R, A straightforward query is resolved by linear regression: Is it possible to assess the exact connection between one target variable and a group of predictors? The straight-line model is...