# DESCRIPTIVE STATISTICS IN R

Descriptive statistics in R refers to the process of summarizing, organizing and describing a data set to understand its fundamental characteristics and patterns

## MEASURES OF CENTRAL TENDENCY

Measures of central tendency are descriptive statistics used to summarize or represent the central or typical value of a data set

## DISPERSION MEASURES

Measures of dispersion, also known as measures of variability, are statistical metrics used to quantify the extent to which the values in a data set differ or disperse from the central tendency (such as mean, median or mode)

## Range

range() extendrange()

## Variance and standard deviation

var() sd()

## Coefficient of variation

## Median absolute deviation

mad()

## Interquartile range

IQR()

## POSITION MEASURES

Position measures in statistics are tools that help to locate or identify the position of a particular value within a set of ordered data. These measures are used to understand how the data are distributed and how a specific value is related to the rest of the available information

## MEASURES OF ASSOCIATION

Measures of association in statistics are used to quantify and describe the relationship or association between two variables in a data set. These measures allow to understand how two variables behave or change together and to assess the strength and direction of that relationship

## Covariance

cov()

## Pearson's correlation coefficient

cor()

## Kendall's tau correlation coefficient

cor()

## Spearman's rho correlation coefficient

cor()

## Contingency tables

table() prop.table()

## GRAPHICAL REPRESENTATIONS

There are several graphical representations used in statistics to visualize and communicate the information contained in a set of data. Check the graphics section for all tutorials