Learn how to analyze and visualize Universal Analytics (UA) and Google Analytics 4 (GA4) data for your blog or website via the googleAnalyticsR package in R| Stats and R
Select the most appropriate statistical (hypothesis) test based on the number of variables and their types with the help of a flowchart| Stats and R
Learn how to run multiple and simple linear regression in R, how to interpret the results and how to verify the conditions of application| Stats and R
Learn how to track the performance of your blog or website in R by analyzing page views, sessions, users and engagement with the {googleAnayticsR} package| Stats and R
Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) with the ggplot2 package| Stats and R
Learn how to compute a correlation coefficient (Pearson and Spearman) and perform a correlation test in R| Stats and R
Make the the most correlated variables stand out via a correlogram. See also how to enhance a correlation plot to show significant correlations among variables| Stats and R
Learn how to perform a descriptive analysis of your data in R, from simple descriptive statistics to more advanced graphics used to describe your data at hand| Stats and R