Data science, a field that keeps expanding continuously, enables companies to unearth meaningful insights from their data. For instance, among other reasons why data scientists prefer R is its exemplary statistical computing prowess and extensive graphic capabilities....

Finding group-wise summary statistics for the dataframe is very useful in understanding our data frame. The summary includes statistical data: mean, median, min, max, and quartiles of the given dataframe. The summary can be computed on a single column or variable, or the entire dataframe. In this article, we are going to see how to find group-wise summary statistics for data frame in R Programming Language....

R is a widely used programming language and software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, time-series analysis, classification, clustering, and more. R Programming Language is also highly extensible through packages, allowing users to add functionality for specific tasks or fields of study....

In this article, we will discuss how to find the Standard Deviation in R Programming Language. Standard deviation R is the measure of the dispersion of the values. It can also be defined as the square root of variance....

A scatter plot is a set of dotted points representing individual data pieces on the horizontal and vertical axis. In a graph in which the values of two variables are plotted along the X-axis and Y-axis, the pattern of the resulting points reveals a correlation between them....

A histogram is a graph that displays the frequency or number of occurrences of different values or ranges of values in a dataset. The x-axis represents the values in the dataset and the y-axis represents the frequency of those values. The range of values is divided into bins, and the height of each bar in the histogram represents the frequency of values in that bin....

For loops in R is a fundamental programming construct that allows you to repeat a block of code a specified number of times or for a given range of elements. They are essential for automating repetitive tasks, manipulating data, and performing various computational operations....

To understand cross-entropy, First, we need to understand entropy. Entropy is a concept used in various fields such as physics, chemistry, information theory, and statistics. Its precise definition can vary depending on the context, but in general, entropy is a measure of the disorder or randomness in a system....

Retaining the number formats when inserting data into an xlsx file in R language is a common issue faced by data analysts. Number formats include data types such as currency, percentage, date, and time. Losing these formats can lead to confusion and difficulty in understanding the data. However, with the right steps and tools, it is possible to retain the number formats while inserting data into an xlsx file....

A histogram is a graphical representation that organizes a group of data points into user-specified ranges and an approximate representation of the distribution of numerical data....

A data structure is a particular way of organizing data in a computer so that it can be used effectively. The idea is to reduce the space and time complexities of different tasks.The two most important data structures in R are Matrix and Dataframe, they look the same but different in nature....

In this article, we are going to learn about how to add fill aesthetic to a ggplot2 autoplot function in R programming language....