Creating visualizations in R using ggplot2 can be a powerful way to explore and understand your data. One common type of visualization is the bivariate plot, which allows you to examine the relationship between two variables. In this tutorial, you’ll learn how to produce bivariate visualizations in R using ggplot2. This blog will specifically focus
Histograms are graphs that allow us to easily understand and visualize the distribution of a dataset. They are used with continuous data to identify patterns and outliers that are not immediately visible in raw data. In Power BI, histograms are generally difficult to create, but using R visual and ggplot2, you only need to write
Troubleshooting in R is the process of identifying and fixing problems or errors in your code. There are several common types of problems that you may encounter, including syntax errors, runtime errors, and logical errors. Other issues include lagging or not responding R sessions. This tutorial features five RStudio help tips to deal with errors,
In this tutorial, you’ll learn how to add inferential statistics to a Power BI report. Specifically, you’ll learn how to perform a t-test using RStudio. A t-test allows you to statistically compare the mean between two groups and then conclude if there’s a significant difference between them. If you’re not familiar with statistics, it’s recommended
In this tutorial, you’ll learn how to use the ggplot2 and esquisse packages to create visualizations in R. Specifically, you’ll learn how to load a dataset to esquisse and use the esquisser (df) function. This will launch a graphical user interface that allows you to drag and drop fields. And by using ggplot2, you’ll be
