Question

With the following python code, read information about blood pressure patients, then calculate mean, median and mode for agegrp, bp_before and bp_after fields.

Answer 1

To calculate the mean, median, and mode for the agegrp, bp_before, and bp_after fields of blood pressure patients, you can use the pandas library in Python.

Step-by-step explanation:

Python Code:

To read the information about blood pressure patients and calculate the mean, median, and mode for the agegrp, bp_before, and bp_after fields, you can use the pandas library in Python. Here is an example:

import pandas as pd

# Read the data from a CSV file
data = pd.read_csv('blood_pressure.csv')

# Calculate the mean
mean_agegrp = data['agegrp'].mean()
mean_bp_before = data['bp_before'].mean()
mean_bp_after = data['bp_after'].mean()

# Calculate the median
median_agegrp = data['agegrp'].median()
median_bp_before = data['bp_before'].median()
median_bp_after = data['bp_after'].median()

# Calculate the mode
mode_agegrp = data['agegrp'].mode()
mode_bp_before = data['bp_before'].mode()
mode_bp_after = data['bp_after'].mode()

In this code, 'blood_pressure.csv' is the name of the CSV file containing the patient data.