Since Greg wants to become an advertising and promotions manager, he needs to at least gain a (B) bachelor’s degree level of education, since generally, this educational background is expected from individuals who wishes to work in an entry-level position in the field of advertising.
One of the skills that he also needs to develop is (C) communication skills, because he would have to be able to communicate in both written and spoken to develop the advertisements according to the client’s desires.
Answer:

Explanation:
Given
Power at point A = 100W
Power at point B = 90W
Required
Determine the attenuation in decibels
Attenuation is calculated using the following formula

Where
t and
t


Substitute these values in the given formula




<em>(Approximated)</em>
Answer: Machine learning
Explanation:
The technology that could be combined with the current solution to do this is the machine learning.
Machine learning refers to the use and development of the computer systems which can learn and adapt without them following explicit instructions. This is done through the use of statistical models and algorithms in order to analyse inferences from the patterns in data.
Since the bank wants to streamline their operations for the receiving and processing checks while also enhancing the solution to recognize signs of potential check fraud, then the machine learning can be used.
Answer:
- from matplotlib import pyplot as plt
-
- with open("text.txt") as file:
- data = file.readlines()
- category = []
- amount = []
- for row in data:
- values = row.split(" ")
- category.append(values[0])
- amount.append(float(values[1]))
-
- figure = plt.figure()
- ax = figure.add_axes([0,0,1,1])
- ax.axis('equal')
- ax.pie(amount, labels = category, autopct='%1.2f%%')
- plt.show()
Explanation:
Firstly, we need to import matplotlib library (Line 1).
Next, open a file stream and use readlines method to read the data from the text file (Line 4). Presume the data read from the text files are as follows:
Rent 450
Gas 150
Food 500
Clothing 120
Car 600
Create two lists, category and amount (Line 5-6). Use a for loop to traverse through the read data and use split method to break each row of data into two individual items. The first item is added to category list whereas the second item is added to amount list (Line 7 - 10).
Next, create a plot figure and then add the axes (Line 12 - 13). We can use the pie method to generate a pie chart (Line 15) by setting the amount list as first argument and category list as value of labels attributes. The output pie chart can be found in the attachment.