new dataframe containing only that weight class.) Use examples to justify that your dataframes have been created correctly. In [ ]: # Put your pseudocode and code here # List to help extract information from the base dataframe weight_class_list = ['47', '52', '57', '63', '72', '84', '84+', '59', '66', '74', '83', '93', '105', '120', frame_names_list = ['class_47kg','class_52kg','class_57kg','class_63kg','class_72kg','class_84kg','class_84 'class_59kg','class_66kg','class_74kg','class_83kg','class_93kg','class_105kg','class_1 Step 2: Loop through all the weight classes and store the dataframes for each weight classs in a list (Lists can store all types of variables Pandas dataframes!) In [ ]: # Put your pseudocode and code here

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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Step 1: Write a function to create a new dataframe(s) for a given weight class. (Inputs should be base dataframe and weight class; Output should be a
new dataframe containing only that weight class.)
Use examples to justify that your dataframes have been created correctly.
In [ ]: # Put your pseudocode and code here
# List to help extract information from the base dataframe
weight_class_list =
frame_names_list
['47', '52', '57', '63', '72', '84', '84+', '59', '66', '74', '83', '93', '105', '120', '120+']
['class_47kg','class_52kg','class_57kg','class_63kg','class_72kg','class_84kg','class_84pluskg',\
'class_59kg','class_66kg','class_74kg','class_83kg','class_93kg','class_105kg','class_120kg','cl
Step 2: Loop through all the weight classes and store the dataframes for each weight classs in a list (Lists can store all types of variables including
Pandas dataframes!)
In [ ]: # Put your pseudocode and code here
Transcribed Image Text:Step 1: Write a function to create a new dataframe(s) for a given weight class. (Inputs should be base dataframe and weight class; Output should be a new dataframe containing only that weight class.) Use examples to justify that your dataframes have been created correctly. In [ ]: # Put your pseudocode and code here # List to help extract information from the base dataframe weight_class_list = frame_names_list ['47', '52', '57', '63', '72', '84', '84+', '59', '66', '74', '83', '93', '105', '120', '120+'] ['class_47kg','class_52kg','class_57kg','class_63kg','class_72kg','class_84kg','class_84pluskg',\ 'class_59kg','class_66kg','class_74kg','class_83kg','class_93kg','class_105kg','class_120kg','cl Step 2: Loop through all the weight classes and store the dataframes for each weight classs in a list (Lists can store all types of variables including Pandas dataframes!) In [ ]: # Put your pseudocode and code here
Write a function to calculate the mean, median, and standard deviation for a single weight class. Then, write a loop through all of the weight
classes and save the results of your calculations for plotting.
]: # Put your pseudocode and code here
Transcribed Image Text:Write a function to calculate the mean, median, and standard deviation for a single weight class. Then, write a loop through all of the weight classes and save the results of your calculations for plotting. ]: # Put your pseudocode and code here
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