22 янв. 2020 г. · This article explains how to compute the main descriptive statistics in R and how to present them graphically.

Learn how to obtain descriptive statistics in R using functions like sapply, summary, fivenum, describe, and stat.desc for mean, median, quartiles, min, ...

The function summary(data_frame) returns descriptive statistics for all variables in a dataset. For numeric variables, the minimum, maximum, quartiles, median, ...

2 авг. 2024 г. · In Descriptive statistics in R Programming Language, we describe our data with the help of various representative methods using charts, ...

18 дек. 2023 г. · This guide will focus on descriptive analysis in R and touch on some basic data cleaning prior to your analysis.

9 июн. 2022 г. · By using the summary() and sapply() functions, we can calculate any descriptive statistics that we'd like for each variable in a data frame.

Descriptive statistics consist of describing simply the data using some summary statistics and graphics. Here, we'll describe how to compute summary statistics ...

Продолжительность: 25:51
Опубликовано: 3 мая 2020 г.

They help us understand the main features of a dataset, such as central tendency (mean, median), variability (standard deviation), and distribution.

10 авг. 2024 г. · The stat.desc() function is a powerful tool that can be used to calculate descriptive statistics for variables in a data frame.