Data visualization is a powerful tool for gaining insights into the patterns and trends hidden within numerical variables. Just like one or more categorical variables can be visualized using ggplot2 package in R, hidden trends of numerical variables can also be traced and discovered using the same package. To get started with the package, as …
In R Programming, logistic regression is a grouping approach used to determine the likelihood of happening success and failure. When the dependent variable is binary (0/1, True/False, Yes/No), logistic regression is implemented. In a binomial distribution, the logit function is leveraged as a link function. The logistic function, frequently known as the sigmoid function, is …
This article will discuss how to duplicate observations can be deleted or dropped using Stata. The duplicate observation or values are the identical observation that is repeated two or more two times in a variable. These duplicate observations or values sometimes create an issue, especially when using a panel dataset. The data used in this …
In econometric models, some variables can play a very important role in the explanation of an economic phenomenon. For instance, gender can play a crucial role in determining salary levels. However, quantifying gender isn’t straightforward because gender lacks a numerical nature. This tutorial aims to explain methods for incorporating such information into econometric models, employing …
The data visualization is the important and powerful tool of R software. Using ggplot2 package, one can create multiple kind of bar charts, line and scatter plots etc. to display the world of data in certain figures. Previously, we have discussed basics of ggplot and creating a scatter plot in R using ggplot2, however this …
Visualizing Categorical Variable in R Using ggplot2 Read More »
