Data preparation

This repository shows the process of preparing data for creating a statistical model in the R programming language.

The dataset concerns the parameters used in the beer brewing process. 11 variables were arbitrarily selected from a dataset containing 29 variables. These variables are to be used to build a statistical model that examines the effect of selected variables on alcohol by volume.

The process outlined includes:

• descriptive analysis of selected variables, determination of the measurement scale and visualization
• imputation of missing data
• outliers identification
• analysis of correlation between variables
• data sampling

Used technology

• R version 4.1.3
• RStudio

Used libraries

library(dplyr)
library(ggplot2)
library(VIM)
library(gridExtra)
library(corrplot)