Day 4 - Team B (1)

Boxplot 
(aka box-and-whisker diagram or plot)

In descriptive statistics, a boxplot is a convenient way of graphically depicting groups of numerical data through their five-number summaries: 
the smallest observation (sample minimum), lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation (sample maximum). 
A boxplot may also indicate which observations, if any, might be considered outliers.

The boxplot is a quick way of examining one or more sets of data graphically. Boxplots may seem more primitive than a histogram or kernel density estimate but they do have some advantages. They take up less space and are therefore particularly useful for comparing distributions between several groups or sets of data. Choice of number and width of bins techniques can heavily influence the appearance of a histogram, and choice of bandwidth can heavily influence the appearance of a kernel density estimate.

Boxplots often provide information about the shape of a data set,

Skewness pattern : If most of the observations are concentrated on the low end of the scale, the distribution is skewed right; and vice versa. If a distribution is symmetric, the observations will be evenly split at the median.

By

Siddhartha Srinivas Ippaka

Team B