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
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
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