Percentiles measure the percentage of values in any dataset that lie below a certain value. In order to calculate percentiles, we need to make sure our list is sorted. An example would be if you were to say that the 80th percentile of data is 130: then what does that mean? Well, it simply means that 80% of the values lie below 130. Pretty easy, right? We will use the following formula for this:

Suppose we have the given data: 1, 2, 2, 3, 4, 5, 6, 7, 7, 8, 9, 10. Then the percentile value of 4 = (4/12) * 100 = 33.33%.

This simply means that 33.33% of the data is less than 4.

Now, let's compute the percentile of the height column from the same data frame we have been using so far:

height = df["height"]
percentile = np.percentile(height, 50,)
print(percentile)

The output of the preceding code is as follows:

54.1