This is a required assignment, worth 20 points, and must be submitted by the due date.
Review the Grading Rubric before completing this assignment.Research a scholarly paper on “Data Driven Input” and reflect on one of the following topics:

• “Analytics Centric”: How can input be designed to support an Analytics Centric organization?
• “Competency Centers”: The benefits of Analytics Competency Centers in data-driven organizational change.
• “Roles”: The role of Systems Analysts, Business Analysts and Super Users in data-driven decisions.

NOTE:
You must copy and paste the topic (“Analytics Centric” or “Competency Centers” or “Roles”) at the start of your paper to provide a context for your answer.
This paper must be between at least one full page in length explaining what caught your eye and reflecting on what you read. 
Do not add extraneous text that does not address the question – do not add an introduction or conclusion.
Do not copy and paste text from the referenced resource.You must provide at least one APA reference for your resource and corresponding in-text citations..
You must provide the referenced resource URL/DOI in the APA reference.
Do not use the Textbook as a referenced resource.

Citizen Rights versus Security

• 500-700 word, double spaced, written in APA format, showing sources and a bibliography

Cybersecurity Planning and Management

Creating Company E-mail/WIFI/Internet Use Policies

Discussion 1

Discussion 2

Exp19_Excel_Ch07_Cap_Real_Estate | Excel Chapter 7 Real Estate

Project Description:

You are the office manager for a real estate company in northern Utah  County. You tracked real estate listings, including city, agent,  listing price, sold price, etc. Agents can represent a seller, a buyer,  or both (known as dual agents). Your assistant prepared the spreadsheet  structure with agent names, agent types, the listing and sold prices,  and the listing and sold dates. You want to complete the spreadsheet by  calculating the number of days each house was on the market before being  sold, agent commissions, and bonuses. In addition, you will use  conditional functions to calculate summary statistics. For further  analysis, you will insert a map chart to indicate the average house  selling price by city. Finally, you will create a partial loan  amortization table and calculate cumulative interest and principal to  show a potential buyer to help the buyer make decisions.

The   spreadsheet contains codes (BA, DA, SA) to represent agent  roles (Buyer’s   Agent, Dual Agent,   Seller’s Agent). You want to  switch the codes for the actual descriptions.
  In cell E12 of the Details sheet, insert the SWITCH function to  evaluate the   agent code in cell D12. Include mixed cell references to  the codes and roles   in the range J2:K4 for the values
  and results arguments. use all cell references in the function. Copy the   function to the range E13:E39.
 

Now you want to calculate the   number of days between the list date and sale date.
 

  In cell J12, insert the DAYS function to calculate the number of  days between   the Listing Date and the Sale Date. Copy the function to  the range J13:J39.

You want to calculate agent   commissions based on their role.
 

  In cell K12, insert the IFS function to calculate the agent’s  commission   based on the agent code and the applicable rates in the  range L2:L4. Use   relative and mixed references correctly. Copy the  function to the range   K13:K39.
 

You want to calculate a bonus if   the sold price was at least equal  to the listing price, and if the house sold   within 30 days after being  listed.
 

  In cell L12, insert an IF function with a nested AND function to  calculate a   bonus. The AND function should ensure both conditions are  met: Sold Price   divided by the Listing Price is greater than or equal  to 100% (cell L7) and   the Days on Market are less than or equal to 30  (cell L8). If both conditions   are met, the bonus is $1,000 (cell L9).  Otherwise, the bonus is $0. Use mixed   cell references to the input  values in the range L7:L9. Copy the function to   the range L12:L39.

The top-left section of the   spreadsheet is designed for summary  statistics for one condition. You will   calculate average selling  prices and the number of houses sold in each city   (the condition).
 

  In cell B2, insert the AVERAGEIF function to calculate the average  Sold Price   for houses in the city of Alpine. Use mixed references for  the range; use a   relative reference to cell A2. Copy the function and  use the Paste Formulas   option to paste the function in the range B3:B5  so that the bottom border in   cell B5 is preserved.

You want to count the number of   houses in one city.
 

  In cell C2, insert the COUNTIF function to count the number of  houses in the   city of Alpine. Use mixed references for the range; and  use a relative   reference to cell A2. Copy the function and use the  Paste Formulas option to   paste the function in the range C3:C5 so that  the border in cell C5 is   preserved.

You want to calculate the total commissions   for each agent (the condition).
 

  In cell B7, insert the SUMIF function to total the commissions by  agent. Use   mixed references for the ranges; and use a relative  reference to cell A7.   Copy the function and use the Paste Formulas  option to paste the function in   the range B8:B9 so that the borders  are preserved.

The top-middle section of the   spreadsheet is designed for summary  statistics for multiple conditions. You   will calculate the number of  houses sold for each agent when he or she served   as a Dual Agent (DA).  Use mixed references for ranges and the agent code   condition in cell  J3. Use relative cell references to the agent condition in   cell E2.  When you copy the formulas, use the paste Formulas options to   preserve  border formatting.
 

  In cell F2, insert the COUNTIFS function in cell F2 to count the  number of   houses sold by the first agent (cell E2) who was a Dual  Agent (DA) (J3) for   that house. Use all cell references in the  function. Copy the function to the   range F3:F4 and preserve the bottom  border for cell F4.

You are ready to calculate the   total value of those houses for each  agent when he or she served as a Dual   Agent (DA). Use mixed  references for ranges and the agent code condition in   cell J3. Use  relative cell references to the agent condition in cell E2. When   you  copy the formulas, use the paste Formulas options to preserve border    formatting.
 

  In cell G2, insert the SUMIFS function to sum the selling prices of  the   houses sold by the first agent (cell E2) who was a Dual Agent  (DA) (J3) for   that house. Copy the function to the range G3:G4 and  preserve the bottom   border for cell G4.

Now, you will calculate the   highest-price house highest-price house  sold for each agent when he or she   served as a Dual Agent (DA). Use  mixed references for ranges and the agent   code condition in cell J3.  Use relative cell references to the agent   condition in cell E2. When  you copy the formulas, use the paste Formulas   options to preserve  border formatting.
 

  In cell H2, insert the MAXIFS function in cell H2 to display the  highest-price   house sold by the first agent (cell E2) who was a Dual  Agent (DA) (J3) for   that house. Copy the function to the range H3:H4  and preserve the borders in   the range H3:H4.

The Map worksheet contains a   list of cities, postal codes, and  average house sales. You will insert a map   chart to depict the  averages visually using the default gradient fill colors.
 

  Display the Map worksheet, select the range B1:C5 and insert a map chart.

Cut the map chart and paste it   in cell A7. Set a 2.31″ height and 3.62″ width.

You want to enter a meaningful   title for the map.
 

  Change the map title to Average Selling Price by Zip Code.

Display the Format Data Series   task pane, select the option to  display only regions with data, and show all   labels. Close the task  pane.

You are ready to start   completing the loan amortization table.
 

  Display the Loan worksheet. In cell B8, type a reference formula to  cell B1.   The balance before the first payment is identical to the  loan amount. Do not   type the value; use the cell reference instead. In  cell B9, subtract the   principal from the beginning balance on the  previous row. Copy the formula to   the range B10:B19.

Now, you will calculate the   interest for the first payment.
 

  In cell C8, calculate the interest for the first payment using the IPMT   function. Copy the function to the range C9:C19.

Next, you will calculate the   principal paid.
 

  In cell D8, calculate the principal paid for the first payment using the PPMT   function. Copy the
  function to the range D9:D19.

Rows 21-23 contain a summary   section for cumulative totals after the first year.
 

  In cell B22, insert the CUMIPMT function that calculates the  cumulative   interest after the first year. Use references to cells A8  and A19 for the   period arguments.

The next summary statistic will   calculate the principal paid after the first year.
 

  In cell B23, insert the CUMPRINC function that calculates the  cumulative   principal paid after the first year. Use references to  cells A8 and A19 for   the period arguments.

Rows 25-28 contain a section for   what-if analysis.
 

  In cell B27, use the RATE financial function to calculate the periodic rate   using $1,400 as the
  monthly payment (cell B26), the NPER, and loan amount in the original input   section.

In cell B28, calculate the APR   by multiplying the monthly rate (cell B27) by 12.

Create a footer with your name   on the left side, the sheet name  code in the center, and the file name code   on the right side of each  worksheet

 Program 1: a) Write a program that will ask the user some questions and award points based on answers given. The total points will determine whether a prize is won. Here are the criteria: 3. K your program “L3Qlinitials.py” must start with a commented ID Box AND include a comment that indicates the purpose of the program. . Your program should: (a) Display the title as shown in the examples later on (b) For each question: a. Display the question text identically as shown in the examples. b. Prompt the user for an answer and allow them to type it in. The user input in the examples was colored to help you identify visually it. NOTE: Your program is not expected to include colors. e. Ensure your program is not case sensitive for any text response. d. Calculate and display the number of points awarded for each question based on the following table. use feedback as in the examples. points 2 points 4 points Question 1 no Lycs Question 2 0 1-6 Question 3 none AAA C 7+ Once all of the questions have been answered, output the total points achieved and the prize awarded (if any). The user will win the big prize with 10 points, the small prize with 6 or 8 points, and no prize with any other total. ** Scavenger hunt results 1. Did you find a 3.5 inch floppy disk (yes or no) ? YES You get 2 points. Example 2. How many marbles did you find? Enter a number: 8 You get 4 points. 3. What size battery did you find (none, AAA, C)? C You get 4 points. You have 10 points. You win the big prize! *** Scavenger hunt results *** 1. Did you find a 3.5 inch floppy disk (yes or no)? yes You get 2 points. 2. How many marbles did you find? Enter a number: 2 You get 4 points. 3. What size battery did you find (none, AAA, C)?  You get 2 points. You have 8 points. You win the small prize! *** Scavenger hunt results *** AND 1. Did you find a 3.5 inch floppy disk (yes or no)? no No points awarded. ha 2. How many marbles did you find? Enter a number: 9 No points awarded. 3. What size battery did you find (none, AAA, C)? None No points awarded. Pro You have 0 points. Sorry! No prize won. Keep in mind that non-colored parts of the examples form the template and must appear identically in your program as written. This includes tabs, numbering, spacing, blank lines, wording, and punctuation. Template text cannot be altered, The only parts that will change are the parts that the user types in the calculated points, and the prize won (if any). Save your program as “L3Qlinitials.pyreplacing initials with your actual initials. Submit your file electronically for marking (unless otherwise instructed).
 

Skills

S1 Select and apply key analytical techniques (e.g. traditional and intelligent analytics) in order to be able to conduct a big data analysis across the whole data science lifecycle on modern data science platforms and with data science programming languages

S2 Conduct pre-processing, data fusion and data analysis on a wide variety of data sets and to report the results.

S3 Visualise, present and organise data in a variety of formats.

Part 1: Report 

You are required to produce up to 2,000 word report (max) on the subject of anomaly detection. Choose an anomaly detection algorithm that you find interesting and how this particular approach has been successfully deployed in data mining. You are free to choose any application area such as finance, health, fraud, stock market, military, engineering, social media, prediction, telecoms, planning etc. etc.  The report should discuss your data analysis, use R outputs, R code snippets and diagrams to assist your explanations.

Part 2: Practical Implementation 

Based on the machine learning method selected, implement a data mining analysis using this method on your selected data set.

Place the word count on 1st page –

State where you obtained or simulated your data, the R packages you have used, any source code you have used from others. Also, place a full R source listing at back of report, these should be screenshots of the code from the RStudio script editor – it will not add to word count.

You can refer to any of your course handouts, any other books, journals, online resources etc. 

case analysis.

question in attached files

Payroll Lab

You will be taking in a file (payroll.txt) which details a number of departments (at least 1) and in each department are a set of employees (each department will have at least 1 employee or it would not appear on the payroll sheet). Your job is to read the file in separate out each employee and calculate the total values (hours, salary, number of employees) for each department and in each category (F1, F2, F3, F4). In your final submission please include the .cpp file which should work for any kind of payroll file I supply (which will naturally match the format of the examples below). Be sure to indicate in your submission text if you have attempted any of the bonus points .

An example file:

The IT Department
Bill 8 7 8 9 7 F1
Bob 205103 0.08 F3
Betty 8 8 7 8 8 F2
Brandon 10 10 9 6 9 F2
Brad 9 8 10 9 9 4 1 F4

The Sales Department
Kyle 88840 0.105 F3
Tyler 105203 0.085 F3
Konner 8 6 7 6 9 F2
Sam 309011 0.045 F3
Kent 9 8 9 9 9 0 0 F4
EOF

An additional example file:

The Sales Department
Mike 5 6 1 3 5 F1
Mark 98103 0.115 F3
Jill 8 8 8 8 8 F2

Frank 106101 0.095 F3

Mark 76881 0.091 F3

Department of Records
Konner 8 6 7 6 9 F2
Tammy 7 3 7 2 8 F1

Anika 8 8 8 8 8 F2

Marta 1 0 0 5 2 F1
Kent 9 8 9 9 9 0 0 F4
EOF

Last in the row after the hours comes the pay grade (F1, F2, F3, F4). The number of hours recorded is based on the pay grade of the employee. F1 and F2s will have 5 numbers for their hours. F3s are commission based where a sales amount and a commission percentage is given. F3s are also assumed to work 30 hours if their commission is 10% or below and 40 hours if their commission is above 10%. F4s will have 7 numbers (as they are on-call during the weekend). Each of the pay grades will also have different pay calculations which are as follows:

F1 = The total number of hours * 11.25
F2 = (The total number of hours – 35) * 18.95 + 400
F3 = The total sales amount * the commission rate
F4 = The first 5 hourly totals * 22.55 + Any weekend hourly totals (the last 2) * 48.75

Your output to the screen should start with the department name, followed by the total pay for all of the employees, then the total number of hours, and the total number of employees. After that you should have a breakdown of each category of employee: F1 total pay and total hours, F2 total pay and total hours…

Each department will have at least 1 employee and each department will contain the word “Department.”

The IT Department
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##
Roster: Bill, Bob, Betty, Brandon, Brad 

F1:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

F2:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

F3:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

F4:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

The Sales Department
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##
Roster: Kyle, Tyler, Konner, Sam, Kent

F1:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

F2:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

F3:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

F4:
Total Salary: $##.##
Total Hours: ###
Total Number of Employees: ##

Before coding your solution, take the time to design the program. What are the possible things that the file can have that you need to anticipate? What are the actions that you need to take (read the file, add up hours…)? Are those actions things that could be placed in separate functions? What about the function – can you guess some of the things that will happen? Such as, using substring to pull out part of a line in the file maybe using stoi to convert a string to an integer to add it to the total or creating variables to hold the employee type you find before passing it to another function. Finally, how are these functions called, what is the order and what information is passed to and from? 

Scoring Breakdown

25% program compiles and runs
30% program reads in and calculates the figures for output
10% the program is appropriately commented
35% outputs the correct information in a clear format 

5% bonus to those who can output the F# responses in a columned output like that shown above.

5% order the employees in the roster according to their F status, F1’s first, then F2’s and so on.
5% bonus to those who do a chart comparing the data at the end to show the relation between the pay grades and the amount of salary spent in each (they style of chart is up to you and more points may be given for more difficult charts (like a line chart):

B Department
F1 – 00000000
F2 – 000000
F3 – 00000
F4 – 000000000000 

K Department
F1 – 0
F2 – 0000
F3 – 0000000000
F4 – 0000000 

Or event something like this instead:

0
0 0
0 0 0
0 0 0 0
0 0 0 0
F1 F2 F3 F4