Aspects of a box plot

Here is a well distributed data-set.

Output:

Now plotting the data frame using box plot,

Explanation of the different parts of the box plot

The maximum and the minimum is the max and min value of the data-set. 50 percentile is the median of the data-set. The first quartile is the median of the data between the min to 50% and the third quartile is the median of the data between 50% to max. The outliers will be the values that are out of the (1.5*interquartile range) from the 25 or 75 percentile.

Methods of finding the values

• Use the median to divide the ordered data set into two halves.
  1) If there is an odd number of data points in the original ordered data set, do not include the median (the central value in the ordered list) in either half.
  2) If there is an even number of data points in the original ordered data set, split this data set exactly in half.

• The lower quartile value is the median of the lower half of the data. The upper quartile value is the median of the upper half of the data.
• An extreme value is considered to be an outlier if it is at least 1.5 interquartile ranges below the first quartile, or at least 1.5 interquartile ranges above the third quartile.

Box plot is a data visualization plotting function. It shows the min, max, median, first quartile, and third quartile. All of the things will be explained briefly. All of the property of box plot can be accessed by dataframe.column_name.describe() function.