The steps.txt file contains the number of steps a person has taken each day for a year. There are 365 lines in the file, and each line contains the number of steps taken during a day. (The first line is the number of steps taken on January 1st, the second line is the number of steps taken on January 2nd, and so forth.) Write a program that reads the file, then displays the average number of steps taken for each month. (The data is from a year that was not a leap year, so February has 28 days.)

In Python:

file = open('steps.txt', 'r')

readLine = file.readlines()

begin = 0

mdays = (31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)

print("Month"+"\t\t"+"Average Steps")

for m in range(len(mdays)):

end = begin + mdays[m]

steps = readLine[begin:end]

sumsteps = 0

for s in steps:

 sumsteps = sumsteps + int(s)

average = round(sumsteps/mdays[m],1)

print(str(m+1)+"\t\t"+str(average))

begin = begin + mdays[m]

Explanation:

This line opens the step.txt file

file = open('steps.txt', 'r')

This reads the content of the file

readLine = file.readlines()

begin = 0

This initializes the months of the days to a tuple

Mmdays = (31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)

This prints the header

print("Month"+"\t\t"+"Average Steps")

This iterates through the tuple

for m in range(len(Mmdays)):

This calculates the days in each month

end = begin + Mmdays[m]

This gets the number of steps in each month

steps = readLine[begin:end]

This initializes the number of steps to 0

sumsteps = 0

This iteration sums up the number of steps in each month

for s in steps:

 sumsteps = sumsteps + int(s)

This calculates the average of steps rounded to 1 decimal place  

average = round(sumsteps/Mmdays[m],1)

This prints the calculated average

print(str(m+1)+"\t\t"+str(average))

This calculates the beginning of the new month

begin = begin + Mmdays[m]

See explaination for the program code.

Explanation:

fh = open('steps.txt', 'r')

lines = fh.readlines()

start = 0

days_in_months = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];

print('{:<7s} {:<10s}'.format('Month', 'Average Steps'))

for m in range(12):

end = start + days_in_months[m]

steps = lines[start:end]

avg = 0

for s in steps:

avg = avg + int(s)

avg = avg // len(steps)

print('{:<7d} {:<10d}'.format(m+1, avg))

start = start + days_in_months[m]

Please kindly check attachment for for the program code.

See explaination for the program code.

Explanation:

fh = open('steps.txt', 'r')

lines = fh.readlines()

start = 0

days_in_months = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];

print('{:<7s} {:<10s}'.format('Month', 'Average Steps'))

for m in range(12):

end = start + days_in_months[m]

steps = lines[start:end]

avg = 0

for s in steps:

avg = avg + int(s)

avg = avg // len(steps)

print('{:<7d} {:<10d}'.format(m+1, avg))

start = start + days_in_months[m]

Please kindly check attachment for for the program code.

The solution that would help the client pool their data together is a data integration solution. This type of solution allows for the collection and consolidation of data from various sources into a single, unified database. This can be achieved through a variety of methods, including Extract, Transform, Load (ETL) processes, data warehousing, and master data management. By implementing a data integration solution, the client will be able to access and analyze their data more efficiently, leading to better insights and informed decision-making.

A code in C++ follows:

Explanation:

#include<iostream>

using namespace std;

int calculate_area(int width, int length)

{

int area;

area=width*length;

return area;

}

int main()

{

int a,b,ar,c,d,ar1,n;

cout<<"\nEnter length of room:";

cin>>a;

cout<<"\nEnter width of room:";

cin>>b;

ar=calculate_area(a,b);

cout<<"\nArea of room:"<<ar<<" units";

cout<<"\nEnter length of mat:";

cin>>c;

cout<<"\nEnter width of mat:";

cin>>d;

ar1=calculate_area(c,d);

n=ar/ar1;

cout<<"\nNumber of mats required are:"<<n;

return 0;

}

boolean rsvp;

int selection;

String option1;

String option2;

(a) if(rsvp){

System.out.println("Attending");

} else {

System.out.println("Not attending");

}

(b) if (selection == 1){

System.out.println("Beef");

} else if (selection == 2){

System.out.println("Chicken");

} else if (selection == 3) {

System.out.println("Pasta");

} else {

System.out.println("Fish");

}

(c) switch(selection){

case 1:

if(rsvp){

option1 = "Thanks for attending. You will be served beef.";

} else{

option1 = "Sorry you can't make it";

}

break;

case 2:

if(rsvp){

option1 = "Thanks for attending. You will be served chicken.";

} else{

option1 = "Sorry you can't make it";

}

break;

case 3:

if(rsvp){

option1 = "Thanks for attending. You will be served pasta.";

} else{

option1 = "Sorry you can't make it";

}

break;

default:

if(rsvp){

option1 = "Thanks for attending. You will be served fish.";

} else{

option1 = "Sorry you can't make it";

}

break;

}

(d) if (option1 == option2){

System.out.println("True");

} else {

System.out.println("False");

}

Explanation:

This code snippet is written in Java.

a) Uses if statement to print "attending" if rsvp is true and "not attending" if rsvp is false.

b) Uses if-else statement to print the variety of food based on user selection. If selection is 1, it print beef. If selection is 2, it print chicken. If selection is 3, it prints pasta else it print fish for any other value of selection.

c) Uses switch statement to determine the value of selection and then uses inner if statement to assign "Thanks for attending. You will be served beef." if rsvp is true to option1. The value of beef changes depending on the value of selection. If rsvp is false, then "Sorry you can't make it." is assigned to option1.

d) Uses if statement to print true if option1 and option2 are equal else it print false.

def get_word(sentence, n):

# Only proceed if n is positive

   if n > 0:

       words = sentence.split()

# Only proceed if n is not more than the number of words

       if n <= len(words):

           return words[n-1]

   return (" ")

print(get_word("This is a lesson about lists", 4)) # Should print: lesson

print(get_word("This is a lesson about lists", -4)) # Nothing

print(get_word("Now we are cooking!", 1)) # Should print: Now

print(get_word("Now we are cooking!", 5)) # Nothing

Explanation:

Added parts are highlighted.

If n is greater than 0, split the given sentence using split method and set it to the words.

If n is not more than the number of words, return the (n-1)th index of the words. Since the index starts at 0, (n-1)th index corresponds to the nth word

The technology that could be partnered with Cloud to allow the international fast-food chain to gain insights into customer data, including location and order patterns, is called data analytics or big data analytics. It involves using software algorithms and tools to analyze large and complex datasets like customer data, and extract useful insights and patterns that can be used to make informed decisions about customer-focused experiences such as promotions and unique user experiences. Data analytics can help businesses improve customer satisfaction, increase sales and revenue, and gain a competitive advantage in the marketplace.