Write a short story using a combination of if, if-else, and if-if/else-else statements to guide the reader through the story.


Project requirements:


1. You must ask the user at least 10 questions during the story. – 5 points

2. The story must use logic statements to change the story based on the user’s answer – 5 points

3. Three decision points must offer at least three options (if-if/else-else) – 5 points

4. Six of your decision points must have a minimum of two options (if-else) – 4 points

5. One decision points must use a simple if statement - 1 points

Answers

Answer 1

Here's an example implementation of the classes described:

How to implement the class

class Person:

   def __in it__(self, name, ssn, age, gender, address, telephone_number):

       self.name = name

       self.ssn = ssn

       self.age = age

       self.gender = gender

       self.address = address

       self.telephone_number = telephone_number

class Student(Person):

   def __in it__(self, name, ssn, age, gender, address, telephone_number, gpa, major, graduation_year):

       super().__in it__(name, ssn, age, gender, address, telephone_number)

       self.gpa = gpa

       self.major = major

       self.graduation_year = graduation_year

class Employee(Person):

    def __in it__(self, name, ssn, age, gender, address, telephone_number, department, job_title, hire_year):

super().__in it__(name, ssn, age, gender, address, telephone_number)      

   

class HourlyEmployee(Employee):

   def __in it__(self, name, ssn, age, gender, address, telephone_number, department, job_title, hire_year, hourly_rate, hours_worked, union_dues):

       super().__in it__(name, ssn, age, gender, address, telephone_number, department, job_title, hire_year)

       self.hourly_rate = hourly_rate

       self.hours_worked = hours_worked

       self.union_dues = union_dues

class SalariedEmployee(Employee):

   def __in it__(self, name, ssn, age, gender, address, telephone_number, department, job_title, hire_year, annual_salary):

       super().__in it__(name, ssn, age, gender, address, telephone_number, department, job_title, hire_year)

       self.annual_salary = annual_salary


Related Questions

https://www.celonis.com/solutions/celonis-snap

Using this link

To do this alternative assignment in lieu of Case 2, Part 2, answer the 20 questions below. You
will see on the left side of the screen a menu for Process Analytics. Select no. 5, which is Order
to Cash and click on the USD version. This file is very similar to the one that is used for the BWF
transactions in Case 2, Part 2.
Once you are viewing the process analysis for Order to Cash, answer the following questions:
1. What is the number of overall cases?
2. What is the net order value?
Next, in the file, go to the bottom middle where you see Variants and hit the + and see what it
does to the right under the detail of variants. Keep hitting the + until you see where more than a
majority of the variants (deviations) are explained or where there is a big drop off from the last
variant to the next that explains the deviations.
3. What is the number of variants you selected?
4. What percentage of the deviations are explained at that number of variants, and why did you
pick that number of variants?
5. What are the specific variants you selected? Hint: As you expand the variants, you will see on
the flowchart/graph details on the variants.
6. For each variant, specify what is the percentage of cases and number of cases covered by that
variant? For example: If you selected two variants, you should show the information for each
variant separately. If two were your choice, then the two added together should add up to the
percentage you provided in question 4 and the number you provided in question 3.
7. For each variant, how does that change the duration? For example for the cases impacted by
variant 1, should show a duration in days, then a separate duration in days for cases impacted
by variant 2.
At the bottom of the screen, you see tabs such as Process, Overview, Automation, Rework, Benchmark,
Details, Conformance, Process AI, Social Graph, and Social PI. On the Overview tab, answer the
following questions:
8. In what month was the largest number of sales/highest dollar volume?
9. What was the number of sales items and the dollar volume?
10. Which distribution channel has the highest sales and what is the amount of sales?
11. Which distribution channel has the second highest sales and what is the amount of sales?
Next move to the Automation tab and answer the following questions:
12. What is the second highest month of sales order?
13. What is the automation rate for that month?
Nest move to the Details tab and answer the following questions:
14. What is the net order for Skin Care, V1, Plant W24?
15. What is the net order for Fruits, VV2, Plant WW10?
Next move to the Process AI tab and answer the following questions:
16. What is the number of the most Common Path’s KPI?
17. What is the average days of the most Common Path’s KPI?
18. What other information can you get off this tab?
Next move to the Social Graph and answer the following questions:
19. Whose name do you see appear on the graph first?
20. What are the number of cases routed to him at the Process Start?

Answers

1. The number of overall cases are 53,761 cases.

2. The net order value of USD 1,390,121,425.00.

3. The number of variants selected is 7.4.

4. Seven variants were selected because it provides enough information to explain the majority of the deviations.

5. Seven variants explain 87.3% of the total variance, including order, delivery, credit limit, material availability, order release, goods issue, and invoice verification.

10. January recorded the highest sales volume, with 256,384 items sold for USD 6,607,088.00. Wholesale emerged as the top distribution channel, followed by Retail.

12. December stood out as the second-highest sales month,

13. with an automation rate of 99.9%.

14. Notable orders include Skin Care, V1, Plant W24 (USD 45,000.00) and

15. Fruits, VV2, Plant WW10 (USD 43,935.00).

17. The most common path had a KPI of 4, averaging 1.8 days.

18. This data enables process analysis and improvement, including process discovery, conformance, and enhancement.

19. The Social Graph shows Bob as the first name,

20. receiving 11,106 cases at the Process Start.

1. The total number of cases is 53,761.2. The net order value is USD 1,390,121,425.00.3. The number of variants selected is 7.4. The percentage of the total variance explained at 7 is 87.3%. Seven variants were selected because it provides enough information to explain the majority of the deviations.

5. The seven specific variants that were selected are: Order, Delivery and Invoice, Check credit limit, Check material availability, Order release, Goods issue, and Invoice verification.6. Below is a table showing the percentage of cases and number of cases covered by each variant:VariantPercentage of casesNumber of casesOrder57.2%30,775Delivery and Invoice23.4%12,591Check credit limit5.1%2,757

Check material availability4.2%2,240Order release4.0%2,126Goods issue2.4%1,276Invoice verification1.7%9047. The duration of each variant is as follows:VariantDuration in daysOrder24Delivery and Invoice3Check credit limit2Check material availability1Order release2Goods issue4Invoice verification1

8. The largest number of sales/highest dollar volume was in January.9. The number of sales items was 256,384, and the dollar volume was USD 6,607,088.00.10. The distribution channel with the highest sales is Wholesale and the amount of sales is USD 3,819,864.00.

11. The distribution channel with the second-highest sales is Retail and the amount of sales is USD 2,167,992.00.12. The second-highest month of sales order is December.13. The automation rate for that month is 99.9%.14. The net order for Skin Care, V1, Plant W24 is USD 45,000.00.15.

The net order for Fruits, VV2, Plant WW10 is USD 43,935.00.16. The number of the most common path’s KPI is 4.17. The average days of the most common path’s KPI is 1.8 days.18. Additional information that can be obtained from this tab includes process discovery, process conformance, and process enhancement.

19. The first name that appears on the Social Graph is Bob.20. The number of cases routed to Bob at the Process Start is 11,106.

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