Category: R

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...

How to create Anatogram plot in R

How to create Anatogram plot in R, Anatograms can be produced using the same-named package function. Keep in mind that you can design your own data frame. Man Pass the data frame to the...

ggdogs on ggplot2

ggdogs on ggplot2, With the help of the function instead of, you may use the package to add dog-related photos in place of dots in ggplot2. ggdogsgeom_doggeom_point You can send any of the sentences...

How to create Radar Plot in R-ggradar

How to create Radar Plot in R, The same-named function in the package requires a data frame as input, with the first column containing the names of the groups and each subsequent column containing...

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...

How to create a ggalluvial plot in R?

How to create a ggalluvial  plot in R, The ggalluvial package’s vaccines data set includes a survey “that asked respondents their likelihood of receiving an influenza vaccination.” The discretized probability of immunization, the frequency...

How to create a Sankey plot in R?

How to create a Sankey plot in R?, You must install the ggsankey library and modify your dataset using the package’s make_long function in order to produce a Sankey diagram in ggplot2. The data’s...

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...

Difference between R and Python

While Python offers a more all-encompassing approach to data science, R is primarily employed for statistical analysis. R’s main goals are data analysis and statistics, while Python’s main goals are deployment and production. Python...