Answer:
c. Using the Data Refinery tool
Explanation:
Data wrangling and tidying in Data Science is the process whereby data to be analysed is obtained, cleaned and arranged before it is analysed in the environment.
Since Watson Studio happens to be an IBM premier integrated development environment for data science and artificial intelligence practitioners, there is need for them to have data softwares to make data scientists practitioners' works easier.
<em>In this scenario, the best tools to aid in tidying data in the Watson studio would be the use of </em><u><em>Data Refinery Tool.</em></u>
Answer:
The total const is 13025 KWh
Explanation:
These are the steps to solve this problem:
- Convert all the powers from W to KW dividing by 1000.
- Convert all the times on minutes to hours dividing by 60.
- Then you can apply energy consumption formula
for any of the appliances. the results will be at KWh. - Sum all the consumtions and you will have the total cost.
Attached you will have a spreadsheet as a guidance. Any questions, just let me know.
Technology is addicting and distracting, just take personal experience. Have you ever had a time when you were on the computer, on the phone, playing games, watching TV, etc. and time flew by? You were procrastinating and should have been doing something else? Were you ever multitasking and paid more attention to technology than what you should be doing? If so, then you have your answer, and from your own experience as well.
Answer:
a fix any syntax bugs. I looked it up on the internet so you should be good good luck on your test
Answer:
The code commented is given below, also the lines that start with # are comments that explains the code.
# Create a function named times_print that receives 2 values x and y
def times_print(x, y):
# Print the formatted string
print("The value of {} times {} is {}".format(x,y,x*y))
# Create the main function
def main():
# Call the funciton times_print 3 times with different values
times_print(2,3)
times_print(4,5)
times_print(5,6)
# Execute the main function
main()
Explanation:
The code was written using Python 3.5, and here I attach the screenshots of the program running: