Data Science

Data Science - Statistics Percentiles

25%, 50% and 75% - Percentiles
Percentiles are used in statistics to provide a number
that describes the value that a given
percent of the values are lower than.



Explaining the examples using Average_Pulse.
- 25% percentile of Average_Pulse means that
25% of all of the training sessions have an
average pulse of 100 beats per minute or lower.
So also correct to say that 75% of all of the training sessions
have an average pulse of 100 beats per minute or higher.
- 75% percentile of Average_Pulse means that
75% of all the training session have an average
pulse of 111 or lower.
To turn the statement arround,
it means that 25% of all of the training sessions
have an average pulse of 111 beats per minute or higher

Assingment: Find the 10% percentile for Max_Pulse

this is how to do it in Python:

Example
import numpy as np
Max_Pulse= full_health_data["Max_Pulse"]
percentile10 = np.percentile(Max_Pulse, 10)

Output:


Note: that you can find out any percentage
by changing the given numbers

Example
-percentile10 to: percentile10, percentile20, percentile40. etc.
-(Max_Pulse, 10) to: (Max_Pulse, 10) or (Max_Pulse, 20)
or (Max_Pulse, 40). etc.

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