Answer:
#include <iostream>
using namespace std;
int main()
{
int cookies;
cin >> cookies;
cout << "The calorie consumption is: " << cookies * 142 << endl;
return 0;
}
Explanation:
First line: include basic library of C++(input and output).
using namespace std;
Says to compiler we are using std.
int main() Main function
int cookies, cookies variable, of int type
cin >> cookies
get the number of the cookies from user
cout Print the text and calories(one cookie have 142 calories)
Have a nice day ;)
Answer:
Explanation:
The following code is written in Python. It asks the user for an input. Then cleans the input using regex to remove all commas, whitespace, and apostrophes as well as making it all lowercase. Then it reverses the phrase and saves it to a variable called reverse. Finally, it compares the two versions of the phrase, if they are equal it prints out that it is a palindrome, otherwise it prints that it is not a palindrome. The test case output can be seen in the attached picture below.
import re
phrase = input("Enter word or phrase: ")
phrase = re.sub("[,'\s]", '', phrase).lower()
reverse = phrase[::-1]
if phrase == reverse:
print("This word/phrase is a palindrome")
else:
print("This word/phrase is NOT a palindrome")
Answer: The tools which are required to accomplish each step in the data management process are:
1. Cloud Data Management tools.
2. Master Data Management (MDM) tools.
3. Reference Data Management (RDM) tools.
4. ETL tools.
5. Data visualization and analytics tools
Explanation:
Cloud Data Management tools with the help of various API's are able to connect multiples system with their data to the cloud. examples are amazon cloud, google API cloud.
MDM tools are used for creation and maintenance of reference data. example are Profisee
RDM tools is used with the MDM tools and are use to define the businesss processes over the reference data. Examples are Collibra.
ETL tools helps to load data of an organisation to data warehouses after transformation and testing the data pipeline constituting the data from different databases.
Data visualization analytics tools helps to extract and generate report from the big sets of data which can help an organisation to take business decisions.
I do not believe you answer is right. I believe it would be B the average montly sales for the big toy company. Only documenting the last month is not enough information to make a histogram, and a histogram asks for information based on one subject not multiple subjects. Asking for the number of each type of candy sold last month would make a normal graph comparing the difference in how much each candy sold, so your answer should be B.
