Data visualization is an essential tool for data analysis, and R provides several libraries to create meaningful and appealing visualizations. One of the most popular libraries for data visualization in R is ggplot2, which allows users to create high-quality and customized plots. However, sometimes, users need to set limits to Read more…
In this stet by step tutorial, you’ll learn how to load data quickly and effectively, without the need to save an actual file into your PC. 1. Install the clipr package using the install.packages function 2. Copy the data to your clipboard: Navigate to the data source, highlight the data Read more…
Logistic regression is a statistical method used to model the relationship between a binary dependent variable and one or more independent variables. The logistic regression model, is vastly used in various fields such as medicine, finance, and social sciences, to analyze the relationship between a set of predictors (continuous or Read more…
Logistic regression is a powerful statistical method for analysing binary or categorical data, and is widely used in a variety of fields, such as healthcare, finance, marketing, and social sciences. In predictive modelling and analytics, logistic regression can be a valuable tool for making data-driven decisions based on categorical data. Read more…
In this article, I’ll briefly discuss methods and techniques for analysis of multivariate linear regression using R studio. Generally speaking, multivariate linear regression is a statistical technique used to model the relationship between a set of independent variables and a single continuous dependent variable. In R Studio, you can perform Read more…