The median is the midpoint or middle value in a group of observations. It is also called the 50th percentile. The median is less affected by outliers and noise than the mean, and that is why it is considered a more suitable statistic measure for reporting. It is much near to a typical central value. Let's compute the median value of the communication skill score column using the pandas library, as follows:
# find median of communication_skill_score column
data['communcation_skill_score'].median()
Output:
39.0
In the preceding code block, we have computed the median of the communication skill score column using the median() function. Let's understand dispersion measures and compute them in the next section.
