Answer:
Explanation:
The following code is a Python function that takes in the amount of change. Then it uses division and the modulo operator to calculate the number of coins that make up the changes, using the greatest coin values first.
import math
def amountOfCoins(change):
print("Change: " + str(change))
quarters = math.floor(change / 0.25)
change = change % 0.25
dimes = math.floor(change / 0.20)
change = change % 0.20
pennies = math.floor(change / 0.01)
print("Quarters: " + str(quarters) + "\nDimes: " + str(dimes) + "\nPennies: " + str(pennies))
Answer:
"Web designer" is the appropriate answer.
Explanation:
- If we follow the market pattern, the number of purchases made by online shopping will continue to rise from 2002 to 2018 as well as the times to obtain no indication of slowing or stopping.
- Because of the same, web designers are expected to have the greatest increase in jobs, as it is very important to customize the website so that online customers can appear more interactive.
So that the above is the correct answer.
There are several things you can look for on a website to help you figure out if the information is reliable. The first thing you should evaluate is the audience that the website is intended for. Is it intended for academics? School children? The general public?
The next thing you should look at is the author of the website. Is the author identified? Is the author an expert in their field? Can you establish the author's credibility? Is the author affiliated to an academic institution or credible organisation?
Look at the accuracy of the website. Check for spelling errors, proper grammar, and well-written text. Are there any sources cited? Are those sources credible?
You should also check to see when the information was published. Is the information up to date? Are all of the links up to date and functioning?
There is one last thing you can look at, and this is the domain of the website. Domains like .edu and .gov are more credible than .com or .net domains.
Answer: Some insights big data can provide about my hobby, gaming, is what year a certain game was created or the number of purchases made in a year. These insights can make things better for me by knowing what versions to receive first and what's the best game to get. Although, some ways big data can make it worse is by not understanding what the information is saying due to a lack of data or context. They can also make it worse by data and system errors, causing problems for me due to the decisions I make off of it.
I hope this helped!
Good luck <3
