Descriptive statistics with r

How do I calculate descriptive statistics?

Calculating descriptive statistics for your data is an easy approach to do so

Descriptive statistical analysis aids in describing the fundamental characteristics of a dataset and gives a brief description of the sample and data measurements

One approach to do this is to use the tidyverse dplyr summarise () function

R provides a wide range of functions for obtaining summary statistics. One method of obtaining descriptive statistics is to use the sapply ( ) function with a specified summary statistic. Possible functions used in sapply include mean, sd, var, min, max, median, range, and quantile.

In this tutorial, you will learn how to calculate descriptive statistics in R, a fundamental tool for data analysis. Descriptive statistics provide an overview of the key characteristics of a dataset, including measures of central tendency, variability, and distribution.Descriptive statistics are values that describe a dataset. They help us gain an understanding of where the center of the dataset is located along with how spread out the values are in the dataset. There are two functions we can use to calculate descriptive statistics in R: Method 1: Use summary () Function summary (my_data)

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