Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- CPP File #include "result.h"#include "Date.h" Result::Result(){m_name = "";m_unitID = "";m_credits = 0;m_mark = 0.0;m_day = 0;m_month = "";m_year = 0;} Result::Result( string name, string id,unsigned credits, double M , unsigned d, string m, unsigned y){m_name = name;m_unitID = id;m_credits = credits;m_mark = M;m_day = d;m_month = m;m_year = y;} istream & operator >>( istream & input, Result & RE){string strInput; getline(input,strInput, ','); RE.SetUnitID(strInput);getline(input, strInput, ','); RE.SetName(strInput);getline(input, strInput, ','); RE.SetCredits(stoi(strInput));getline(input, strInput, ','); RE.SetMark(stod(strInput));getline(input,strInput, ','); RE.SetDay(stoi(strInput));getline(input, strInput, ','); RE.SetMonth(strInput);getline(input, strInput, ','); RE.SetYear(stoi(strInput));getline(input, strInput, ','); return input;} ostream & operator <<( ostream & os,const Result & RE ){string unitID;string name;string month;double mark;…arrow_forwardThere are 2 arrays, the first contains item numbers in inventory and the second parallel array contains the price of the items. The user will enter the item number they want to purchase, the program checks to see if it is a valid entry. If it is valid, it will tell the user the price of the item. If it is an invalid item, a message will display telling the user they entered an invalid item. Type up the code below, execute the program a few times.arrow_forwardIn Python, grades_dict = {'Wally': [87,96,70], 'Eva': [100,87,90], 'Sam': [94,77,90], 'Katie': [100,81,82], 'Bob': [83, 65, 85]} write your own describe function that produces thesame 8 statistical results, for each one of the columns, that the built-in describe() function does.Note 1: Use the sample standard deviation formula (that is, the denominator is: N-1)Note 2: Your algorithm should work for any number of columns not just for 5Note 3: You can use the np.percentile() for the 25% and 75% percentile as well as the sort()built-in functionsarrow_forward
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