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In this post, we combine data-wrangling and visualization skills to create a professional-looking data visualization using the
ggplot2 package in R. Most popular unisex baby names are presented nicely in an R graph.
Use ANCOVA and Linear models to solve example assignment.
Use R Studio to create decision trees with pruning for building model to predict used car prices.
Six problems exploring ANOVA, Linear and Logistic Regression, Chi-Square Test. And corresponding solutions in R Studio by our experts.
It is a popular dataset used to analyze service requests of various cities (Pitsburg, New York, etc.). This time we analyze Roslindale city in R.
R Studio ggplot2 library contains functions qplot() and ggplot(). What is the result of these functions? Example solution explains the differences.
Use R studio to analyze a logistic model - bottom up loop development and analysis.
Example of beginner level university level assignment of R Studio statistics with solution.
The following exercises aim to use linear regression tools in R to investigate whether a linear relationship exists between tuition and other variables.
Solutions to Multiple Linear Regression Exercises in R Studio