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...
Tagged: R
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....
Missing Value Imputation in R
Missing Value Imputation in R, Every data user is aware of the problem: Nearly all data sets contain some missing data, which can cause major issues like skewed estimations or decreased efficiency owing to...
Principal Component Analysis Advantages
Principal Component Analysis Advantages, with the help of Principal Component Analysis (PCA), a statistical technique, we are able to reduce the number of features in our data from a large number to just a...
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...
Introduction to Hadoop Data Processing Applications
Introduction to Hadoop data processing applications, An open-source software framework called Apache Hadoop is used to create data processing applications that run in a distributed computing environment. Large data sets dispersed over clusters of...
