As the name suggests, the measures of dispersion show the extent of variability and the scattering of the data points. The main idea of the measures of dispersion is to get to know how the data are spread and how much the data points vary from the average value. There are mainly two types of measures of dispersion. 1) Absolute measures of dispersion 2) Relative measures of dispersion

The most common types of measure of central tendency are mean, median, and mode. Each of these measures shows the tendency of the data to clusture around a middle value using a different approach.

Box-plot is one of the effective ways to visually represent the distribution of data and it gives you an overall idea about how the data looks. And it is one of the best tools to identify the outliers to check if an association you find in your analysis can be explained by the presence of potential unusual observations. Through box plots we can find the minimum, lower quartile (25th percentile), median (50th percentile), upper quartile (75th percentile), and maximum of an continues variable.

In this post you will learn how to rename columns of a data frame in R.