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a) Read the Excel file as a pandas DataFrame, and print the bottom 5 rows in the file. b) Select the "Name", "Gender", "Age" and "Weight" columns for female patients whose age is above 50. Print the top 5 rows in this dataset. c) Find the mean and the sample standard deviation of the weight of all patients in the dataset and print them out. Round the numbers to 2 decimal places. d) Extract the patients whose weight is 1.2 standard deviations above the mean, i.e., with weight greater than (mean + 1.2 * sample standard deviations). Write the name, age, gender and weight of these patients to an Excel file named "overweight patients.xlsx" without row labels.

a) Read the Excel file as a pandas DataFrame, and print the bottom 5 rows in the file. b) Select the "Name", "Gender", "Age" and "Weight" columns for female patients whose age is above 50. Print the top 5 rows in this dataset. c) Find the mean and the sample standard deviation of the weight of all patients in the dataset and print them out. Round the numbers to 2 decimal places. d) Extract the patients whose weight is 1.2 standard deviations above the mean, i.e., with weight greater than (mean + 1.2 * sample standard deviations). Write the name, age, gender and weight of these patients to an Excel file named "overweight patients.xlsx" without row labels.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Hope to solve this question *{{D}}* requirements, this question I find in internet, Hope to explain in the code using #. The Excel file is in the link. Thanks a lot https://we.tl/t-cs1Lxia7S6

You are given an Excel file ("Patient_Information.xlsx") that stores the Patient ID, Name, gender, age, weight and systolic blood pressure of patients. Write python codes to complete the following tasks. Name your python program as "LA3_2.py". b) a) Read the Excel file as a pandas DataFrame, and print the bottom 5 rows in the file. Select the "Name", "Gender", "Age" and "Weight" columns for female patients whose age is above 50. Print the top 5 rows in this dataset. c) Find the mean and the sample standard deviation of the weight of all patients in the dataset and print them out. Round the numbers to 2 decimal places. d) Extract the patients whose weight is 1.2 standard deviations above the mean, i.e., with weight greater than (mean + 1.2 * sample standard deviations). Write the name, age, gender and weight of these patients to an Excel file named "overweight_patients.xlsx" without row labels. e) Create a new column "Age Group". If the "Age" of a patient is from 30 to 39 (including the boundaries), the value of "Age Group" will be "30-39". Do similarly for the following "Age Group" values: “40 – 49", "50 – 59", "60 or above". Print a table to show the number of values in each age group. f) Construct a pivot table that summarises the mean systolic blood pressure of patients in different gender and age groups. Print the pivot table. g) Mask the surname of the patient, except the first letter, with five "*" characters. For example, if the patient has a name “John Smith”, the Name value should store “John S*****". Print the top 5 rows of the modified "Name" column.
Transcribed Image Text:You are given an Excel file ("Patient_Information.xlsx") that stores the Patient ID, Name, gender, age, weight and systolic blood pressure of patients. Write python codes to complete the following tasks. Name your python program as "LA3_2.py". b) a) Read the Excel file as a pandas DataFrame, and print the bottom 5 rows in the file. Select the "Name", "Gender", "Age" and "Weight" columns for female patients whose age is above 50. Print the top 5 rows in this dataset. c) Find the mean and the sample standard deviation of the weight of all patients in the dataset and print them out. Round the numbers to 2 decimal places. d) Extract the patients whose weight is 1.2 standard deviations above the mean, i.e., with weight greater than (mean + 1.2 * sample standard deviations). Write the name, age, gender and weight of these patients to an Excel file named "overweight_patients.xlsx" without row labels. e) Create a new column "Age Group". If the "Age" of a patient is from 30 to 39 (including the boundaries), the value of "Age Group" will be "30-39". Do similarly for the following "Age Group" values: “40 – 49", "50 – 59", "60 or above". Print a table to show the number of values in each age group. f) Construct a pivot table that summarises the mean systolic blood pressure of patients in different gender and age groups. Print the pivot table. g) Mask the surname of the patient, except the first letter, with five "*" characters. For example, if the patient has a name “John Smith”, the Name value should store “John S*****". Print the top 5 rows of the modified "Name" column.
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