Using PHP create a loan calculator that allows for extra payments.

 

Requirements:

  • -Create a page that allows a user to enter loan information; including Loan Amount, Length of Loan (months or years), Annual Interest Rate (percentage), and Extra Payment Amount.
  • -Loan Amount is in dollars. This field is required.
  • -Length of Loan is an integer in months or years. Include a prompt (such as radio buttons or dropdown list) to indicate payment frequency is for months or years. This field is required.
  • -The loan calculation should adjust appropriately based on months or years selection.
  • -Annual Interest Rate should be entered as a percentage. This field is required.
  • -Make sure that all required fields are entered.
  • -Make sure that all entered fields are valid.
  • -Display the results of the loan calculation.
  • -Display the Monthly Payment Amount.
  • -Display the Total Amount to be paid for the loan (principle and interest).
  • -Display the Total Interest to be paid for the loan.
  • -Display an Amortization Schedule for the loan.
  • -Assume the loan starts on the first day of the following month.
  • -In the Amortization Schedule show the Payment Number, Payment Date, Payment Amount, Principle Amount, Interest Amount, Extra Payment Amount (if entered), and Loan Balance.

Extra Credit:

  • -Extra Payment Amount is in dollars and is an additional monthly amount paid towards the principle of the loan. This field is optional.
  • -If Extra Payment Amount is entered, it must be included in the loan calculation.
  • -The Extra Payment Amount should be included as part of the monthly payment.
  • -If Extra Payment Amount is entered, display the Amount of Interest Saved and the Amount of Time Saved.
  • -Store the values entered in cookies and auto populate fields with previous values from cookies.

Hints:

  • -Find a formula to calculate the payment amount.
    • -To use the formula you will need to calculate a few things based on the user input.
    • -You will need to know the number of monthly payments for the loan. Your formula might call this the length of the loan.
    • -You will need to know the interest rate per month.
  • -Now you can start.
  • -Calculate the number of monthly payments.
  • -Calculate the interest rate per month.
  • -Calculate the payment amount.
  • -You should test this by calculating manually on paper and using a php fiddle to test your code calculations.
  • -Compare your results to any online mortgage calculator.
  • -Now use a loop to display each month of the amortization table.
  • -For each month calculate the balance and the portion of the payment that is principal and interest.
  • -For the first month, the balance is the same as the loan amount.
  • -The interest portion of the payment for that month is the balance times the interest rate per month.
  • -The principal portion of the payment for that month is the payment amount minus the interest portion.
  • -The balance for that month is the balance from the previous month minus the principal portion of the payment.

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Week 8: Capstone Instructions: Excel 365/2019 – Level 3 Working with Sales Data Alternate with VLOOKUP

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In this project, you will work with sales data from Top’t Corn, a popcorn          company with an online store, multiple food trucks, and two retail stores. You will begin          by copying the sales data for one of the retail stores from another workbook. Next, you          will insert a new worksheet and enter sales data for the four food truck locations,          formatting the data, and calculating totals. You will create a pie chart to represent the          total units sold by location and a column chart to represent sales by popcorn type. You          will format the charts, and then set up the worksheet for printing. Next, you help          Top’t Corn calculate payments for a loan and decide whether or not the purchase is          a good idea. Working with the daily sales data for one of the brick-and-mortar stores, you          will apply conditional formatting to find the top 10 sales dates. Y ou will also calculate          the sales for each date, and the average, minimum, and maximum sales. You will use Goal          Seek to find the appropriate price to reach a higher daily average sales goal. You will          use VLOOKUP to look up sales data for a specific date. Finally, you will work with their          online sales data to format it as an Excel table and apply sorting and filtering. You will          create a PivotTable and a PivotChart from a copy of the online sales data to summarize the          sales. 

Skills needed to complete this        project: 

  • Open a workbook
  • Copy a worksheet to another workbook
  • Close a workbook
  • Insert a worksheet
  • Name a worksheet
  • Move a worksheet
  • Enter text
  • Enter numbers
  • Edit text
  • Autofit a column
  • Apply a cell style
  • Add cell shading
  • Change font color
  • Merge and center text across cells
  • Apply bold formatting
  • Apply number formatting
  • Enter a SUM function
  • Copy formula using AutoFill
  • Insert a pie chart
  • Apply a chart Quick Layout
  • Move a chart
  • Insert a column chart
  • Switch the row/column in a column chart
  • Change the chart title
  • Apply a chart Quick Style
  • Show chart data labels
  • Preview how a worksheet will look when printed
  • Change worksheet orientation
  • Change the print margins
  • Scale a worksheet for printing
  • Change the color of a worksheet tab
  • Apply a column width
  • Calculate a loan payment with PMT
  • Enter a simple formula using multiplication
  • Enter a simple formula using subtraction
  • Add cell borders
  • Create a formula referencing cells in another worksheet
  • Enter an AVERAGE function
  • Use the IF function
  • Hide a worksheet
  • Apply date formats
  • Apply Top Ten conditional formatting
  • Use an absolute reference in a formula
  • Name a range of cells
  • Use a named range in a formula
  • Use the MIN function in a formula
  • Use the MAX function in a formula
  • Wrap text
  • Analyze data with Goal Seek
  • Use the VLOOKUP function in a formula
  • Convert data into a table
  • Apply a table Quick Style
  • Use the table Total row
  • Sort data in a table
  • Filter data in a table
  • Create a PivotTable
  • Create a PivotChart
  • Unhide a worksheet

Note: Download the resource file needed for this project from the         Resources link. Make sure to extract the file after downloading the        resources zipped folder. Visit the SIMnet Instant Help for step-by-step        instructions.       

  1. Open the start file EX2019-Capstone-Level3.
    Note:If the workbook opens in            Protected View, click the Enable Editing button in the Message Bar at the top of the            worksheet so you can modify it
  2. The file will be renamed automatically to include your name. Change the           project file name if directed to do so by your          instructor, and saveit 
  3. Copy the OldTownStoreworksheet from the OldTownSalesworkbook (downloaded from the Resources link) to the capstone project. 
    1. Open the Excel file OldTownSales
    2. Copy the worksheet OldTownStore. In the               Move or Copydialog, be sure to check the               Create a copycheck box and select your capstone project Excel file from the               To bookdrop-down list. Make the correct selection to ensure the copied worksheet              will appear at the end after the TysonsStore2018worksheet in your capstone workbook.             
    3. Close the OldTownSalesworkbook when you have successfully copied the               OldTownStoreworksheet to the capstone workbook.             
    4. Before continuing, verify that you are working in the capstone project that you              downloaded and not the OldTownSalesworkbook that              you downloaded from the Resources link. 
  4. Insert a new worksheet and rename it: MobileSales
  5. If necessary, move the MobileSalesworksheet so it appears first in the workbook.         
  6. In the MobileSales worksheet, enter the text and sales data as shown in the          table below. Check your work carefully. 

A

B

C

D

E

1

Top’t Corn Mobile Sales (July)

2

Truck Location

3

Farragut Square

GW

Georgetown

K Street

4

Old Bay

2500

800

600

900

5

Truffle

3200

600

1200

1500

6

Sea Salt and Caramel

4200

1500

1400

1200

  1. Still working with the MobileSales worksheet, format the data as follows: 
    1. Apply the Titlecell style to cell A1.             
    2. Apply the Purplefill color to cell A1. Use the first color              at the right in the row of Standard colors.             
    3. Apply the White, Background 1font color to cell A1. Use the first color              at the left in the first row of Theme colors.             
    4. Merge and center the worksheet title across cells               A1:E1
    5. Apply the Heading 2cell style to cell B2.             
    6. Merge and center cells B2:E2
    7. Bold cells B3:E3.
    8. Apply the Accounting Number Formatwith 0digits after the              decimal to cells B4:E6.             
    9. AutoFit columns A:E.
  2. In the MobileSales worksheet, calculate total sales for each of the truck          locations. 
    1. Enter the word Total in cell A7
    2. Enter a SUM function in cell B7to              calculate the total of cells B4:B6
    3. Use AutoFill to copy the formula to cells C7:E7.             
    4. Apply the Totalcell style to cells A7:E7.             
  3. In the MobileSales worksheet, insert a pie chart (2-D Pie) to          show the Old Bay sales for the month by location. Each piece of the pie should represent          the Old Baysales for a single location.
    Note:You must complete this step correctly in order to receive points for          completing the next step. Check your work carefully.         
  4. Working with the pie chart you just created, modify the pie chart as follows: 
    1. Apply the Layout 6 Quick Layout
    2. Move the chart so it appears below the sales data.
  5. In the MobileSales worksheet insert a clustered column chart (2-D Column) to          show the sales for each type of popcorn for each location. Do not include the          totals.
    Note:You must complete this            step correctly in order to receive points for completing the next step.Check your work carefully.         
  6. Working with the column chart you just created, modify the column chart as follows:           
    1. If necessary, modify the chart so each location is represented by a data series and              the popcorn types are listed along the x axis. 
    2. Change the chart title to: July Sales by Popcorn Type
    3. Apply the Style 5chart Quick Style.             
    4. Display the chart data labels using the Outside Endoption. 
    5. If necessary, move the chart so it is next to the pie chart and the top of the              charts are aligned. 
  7. Preview how the MobileSales worksheet will look when printed, and then apply          print settings to print the worksheet on a single page. Hint: If you have one of          the charts selected, deselect it before previewing the worksheet. Preview the worksheet          again when you are finished to check your work. 
    1. Change the orientation so the page is wider than it is tall. 
    2. Change the margins to the preset narrow option.
    3. Change the printing scale so all columns will print on a single page. 
  8. Top’t Corn is considering a new truck purchase. Calculate the monthly loan          payments and total cost
    of the loan. 

    1. Insert a new worksheet between the MobileSalessheet and the OnlineSalessheets.             
    2. Name the new worksheet: TruckLoan
    3. Change the color of the TruckLoan worksheet tab to               Orange. Use the third color from the left in the row of              Standard colors. 
    4. Enter the loan terms in the TruckLoan worksheet as shown below. 

A

B

1

Price

55000

2

Interest (annual)

3%

3

Loan term (in months)

24

4

Monthly payment

  1. AutoFit column A.
  2. Set the width of column Bto 16.         
  3. Apply the Currencynumber format to cell B1. Display two digits          after the decimal.         
  4. Enter a formula using the PMTfunction in cell B4. Be sure to use a negative          value for the
    Pvargument.         
  5. In cell A6, type: Total payments
  6. In cell B6, enter a formula to calculate the total paid          over the life of the loan (the monthly payment amount * the number of payments). Use cell          references. 
  7. In cell A7, type: Interest paid
  8. In cell B7, enter a formula to calculate the total          interest paid over the life of the loan (the total payments – the original price of the          truck). Use cell references. 
  9. Apply borders using the Thick Outside Bordersoption around cells A6:B7.         
  10. In cell A9, type: Average sales
  11. In cell B9, enter a formula to calculate the average          sales per month for the truck locations. Hint: Use cells           B7:E7from the MobileSalesworksheet as the function argument.         
  12. Apply the Currencynumber format to cell B9. Display two digits          after the decimal.         
  13. In cell A10, type: Buy new truck?
  14. In cell B10, enter a formula using the           IFfunction to display Yes             if the monthly payment for the truck loan is less than the average          sales per month for the current trucks. Display
    Noif it is not. 
  15. This workbook includes two worksheets for data from the Tysons store. You should only          be working with the latest data from 2019. 
    1. Hide the TysonsStore2018worksheet.             
  16. Complete the following steps in the TysonsStore2019 worksheet:           
    1. Select cells A2:A32, and apply the               Short Datedate format.             
    2. Find the top ten sales items for the month. Select cells               B2:D32and use conditional formatting to              apply a green fill with dark green textto the top 10values.             
    3. In cell F2, enter a formula to calculate the daily              total in dollars. Multiply the value in the Daily Total (#                Sold)column by the current price per box in cell               K1. Use an absolute reference where appropriate and copy              the formula to cells F3:F32.             
    4. In cell G2, enter a formula using the               IFfunction to determine whether the daily sales goal in cell               K2was met. Display yesif the              value in the Daily Total ($)column is               greater than or equal tothe daily sales goal. Display noif it is not. Use an absolute reference where appropriate and copy the              formula to cells G3:G32.             
    5. Create a named range DailyTotals for cells               F2:F32
    6. In cell K3, enter a formula using the named range               DailyTotalsto calculate the               averagedaily
      sales in              dollars. 
    7. In cell K4, enter a formula using the named              rangeDailyTotalsto find the lowestdaily sales
      in dollars.             
    8. In cell K5, enter a formula using the named              rangeDailyTotalsto find the               highestdaily sales
      in dollars.             
    9. Wrap the text in cell J7
    10. Use Goal Seekto find the new price per              box (cell K8) to reach a new daily average sales goal of              $3,000 in cell K7. Accept the solution found by Goal              Seek. 
    11. Modify cell K8to show two places after              the decimal. 
    12. Create a named range SalesData for cells               A2:G32
    13. In cell K10,enter 8/19/2019 as the lookup date.             
    14. In cell K11,enter a formula using VLOOKUP to display whether or not the sales goal              was met for the date listed in cell K10. Use the named              range SalesDatafor the               Table_arrayargument. The formula should return the              value in the Sales Goal Met?column (column               7in the data array) only when there is an               exactmatch.             
  17. Make a copy of the OnlineSalesworksheet and name it PivotData. The           PivotDataworksheet should be the last          worksheet in the workbook.         
  18. Go to the OnlineSalesworksheet and format the sales data as a table using the table style           
    Aqua, Table Style Light 9.         
  19. Continue working with the table on the OnlineSales worksheet and display the          table Totalrow. 
    1. Display the total for the Quantitycolumn.             
    2. Remove the count from the Statecolumn.             
  20. Continue working with the table on the OnlineSales worksheet and sort the data          alphabetically by values in the Itemcolumn.         
  21. Continue working with the table on the OnlineSales worksheet and filter the          table to show only rows where the value in the Statecolumn is MD.         
  22. Create a PivotTable using the data in cells A3:D120from the data in the PivotDataworksheet. The PivotTable should appear on its own worksheet. Use values from          the Itemcolumn as the rows and the sum of          values in the Quantitycolumn as the values.         
  23. Name the PivotTable worksheet: PivotTable It should be located to the left          of the PivotDataworksheet.         
  24. Insert a PivotChart on the PivotTableworksheet. Use a pie chart to represent the total quantity           
    for each item. If necessary, move the PivotChart to the right of the          PivotTable so it does not cover the data.         
  25. This workbook includes a hidden worksheet with online sales data from the 2018 buy one          get one free sale. 
    1. Unhide the BOGOSale2018worksheet.             
  26. Save and close the workbook.
  27. Upload and save your project file.         
  28. Submit project for grading.

Note: Download the resource file needed for this project from the         Resources link. Make sure to extract the file after downloading the        resources zipped folder. Visit the SIMnet Instant Help for step-by-step        instructions.       

  1. Open the start file EX2019-Capstone-Level3.
    Note: If the workbook opens in            Protected View, click the Enable Editing button in the Message Bar at the top of the            worksheet so you can modify it 
  2. The file will be renamed automatically to include your name. Change the           project file name if directed to do so by your          instructor, and save it 
  3. Copy the OldTownStore worksheet from the OldTownSales workbook (downloaded from the Resources link) to the capstone project. 
    1. Open the Excel file OldTownSales
    2. Copy the worksheet OldTownStore. In the               Move or Copy dialog, be sure to check the               Create a copy check box and select your capstone project Excel file from the               Move selected sheets to book drop-down list. Make the correct selection to ensure the copied worksheet              will appear at the end after the TysonsStore2018 worksheet in your capstone workbook.             
    3. Close the OldTownSales workbook when you have successfully copied the               OldTownStore worksheet to the capstone workbook.             
    4. Before continuing, verify that you are working in the capstone project that you              downloaded and not the OldTownSales workbook that              you downloaded from the Resources link. 
  4. Insert a new worksheet and rename it: MobileSales 
  5. If necessary, move the MobileSales worksheet so it appears first in the workbook.         
  6. Enter the text and sales data as shown in the table below. Check your work carefully.         

A

B

C

D

E

1

Top’t Corn Mobile Sales (July)

2

Truck Location

3

Farragut Square

GW

Georgetown

K Street

4

Old Bay

2500

800

600

900

5

Truffle

3200

600

1200

1500

6

Sea Salt and Caramel

4200

1500

1400

1200

  1. Format the data as follows: 
    1. Apply the Title cell style to cell A1.             
    2. Apply the Purple fill color to cell A1. Use the first color              at the right in the row of Standard colors.             
    3. Apply the White, Background 1 font color to cell A1. Use the first color              at the left in the first row of Theme colors.             
    4. Merge and center the worksheet title across cells               A1:E1
    5. Apply the Heading 2 cell style to cell B2.             
    6. Merge and center cells B2:E2
    7. Bold cells B3:E3.
    8. Apply the Accounting Number Format with 0 digits after the              decimal to cells B4:E6.             
    9. AutoFit columns A:E.
  2. Calculate total sales for each of the truck locations. 
    1. Enter the word Total in cell A7
    2. Enter a SUM function in cell B7 to              calculate the total of cells B4:B6
    3. Use AutoFill to copy the formula to cells C7:E7.             
    4. Apply the Total cell style to cells A7:E7.             
  3. Insert a pie chart (2-D Pie) to show the Old Bay sales for the month by          location. Each piece of the pie should represent the Old              Bay sales for a single location.
    Note: You must complete this step correctly in order to receive points for          completing the next step. Check your work carefully.         
  4. Modify the pie chart as follows: 
    1. Apply the Layout 6 Quick Layout
    2. Move the chart so it appears below the sales data.
  5. Insert a clustered column chart (2-D Column) to show the sales for each type of popcorn          for each location. Do not include the totals.
    Note: You must complete this            step correctly in order to receive points for completing the next step. Check your work carefully.         
  6. Modify the column chart as follows: 
    1. If necessary, modify the chart so each location is represented by a data series and              the popcorn types are listed along the x axis. 
    2. Change the chart title to: July Sales by Popcorn Type 
    3. Apply the Style 5 chart Quick Style.             
    4. Display the chart data labels using the Outside End option. 
    5. If necessary, move the chart so it is next to the pie chart and the top of the              charts are aligned. 
  7. Preview how the worksheet will look when printed, and then apply print settings to          print the worksheet on a single page. Hint: If you have one of the charts selected,          deselect it before previewing the worksheet. Preview the worksheet again when you are          finished to check your work. 
    1. Change the orientation so the page is wider than it is tall. 
    2. Change the margins to the preset narrow option.
    3. Change the printing scale so all columns will print on a single page. 
  8. Top’t Corn is considering a new truck purchase. Calculate the monthly loan          payments and total cost
    of the loan. 

    1. Insert a new worksheet between the MobileSales sheet and the OnlineSales sheets.             
    2. Name the new worksheet: TruckLoan
    3. Change the color of the worksheet tab to Orange. Use              the third color from the left in the row of Standard colors. 
    4. Enter the loan terms as shown below.

A

B

1

Price

55000

2

Interest (annual)

3%

3

Loan term (in months)

24

4

Monthly payment

  1. AutoFit column A.
  2. Set the width of column B to 16.         
  3. Apply the Currency number format to cell B1. Display two digits          after the decimal.         
  4. Enter a formula using the PMT function in cell B4. Be sure to use a negative          value for the
    Pv argument.         
  5. In cell A6, type: Total payments 
  6. In cell B6, enter a formula to calculate the total paid          over the life of the loan (the monthly payment amount * the number of payments). Use cell          references. 
  7. In cell A7, type: Interest paid 
  8. In cell B7, enter a formula to calculate the total          interest paid over the life of the loan (the total payments – the original price of the          truck). Use cell references. 
  9. Apply borders using the Thick Outside Borders option around cells A6:B7.         
  10. In cell A9, type: Average sales 
  11. In cell B9, enter a formula to calculate the average          sales per month for the truck locations. Hint: Use cells           B7:E7 from the MobileSales worksheet as the function argument.         
  12. Apply the Currency number format to cell B9. Display two digits          after the decimal.         
  13. In cell A10, type: Buy new truck? 
  14. In cell B10, enter a formula using the           IF function to display Yes             if the monthly payment for the truck loan is less than the average          sales per month for the current trucks. Display
    No if it is not. 
  15. This workbook includes two worksheets for data from the Tysons store. You should only          be working with the latest data from 2019. 
    1. Hide the TysonsStore2018 worksheet.             
  16. Complete the following steps in the TysonsStore2019 worksheet: 
    1. Select cells A2:A32, and apply the               Short Date date format.             
    2. Find the top ten sales items for the month. Select cells               B2:D32 and use conditional formatting to              apply a green fill with dark green text to the top 10 values.             
    3. In cell F2, enter a formula to calculate the daily              total in dollars. Multiply the value in the Daily Total (#                Sold) column by the current price per box in cell               K1. Use an absolute reference where appropriate and copy              the formula to cells F3:F32.             
    4. In cell G2, enter a formula using the               IF function to determine whether the daily sales goal in cell               K2 was met. Display yes if the              value in the Daily Total ($) column is               greater than or equal to the daily sales goal. Display no if it is not. Use an absolute reference where appropriate and copy the              formula to cells G3:G32.             
    5. Create a named range DailyTotals for cells               F2:F32
    6. In cell K3, enter a formula using the named range               DailyTotals to calculate the               average daily
      sales in              dollars. 
    7. In cell K4, enter a formula using the named              range DailyTotals to find the lowest daily sales
      in dollars.             
    8. In cell K5, enter a formula using the named              range DailyTotals to find the               highest daily sales
      in dollars.             
    9. Wrap the text in cell J7
    10. Use Goal Seek to find the new price per              box (cell K8) to reach a new daily average sales goal of              $3,000 in cell K7. Accept the solution found by Goal              Seek. 
    11. Modify cell K8 to show two places after              the decimal. 
    12. Create a named range SalesData for cells               A2:G32
    13. In cell K10, enter 8/19/2019 as the lookup date.             
    14. In cell K11, enter a formula using VLOOKUP to display whether or not the sales goal              was met for the date listed in cell K10. Use the named              range SalesData for the               Table_array argument. The formula should return the              value in the Sales Goal Met? column (column               7 in the data array) only when there is an               exact match.             
  17. Make a copy of the OnlineSales worksheet and name it PivotData. The           PivotData worksheet should be the last          worksheet in the workbook.         
  18. Go to the OnlineSales worksheet and format the sales data as a table using the table style           
    Aqua, Table Style Light 9.         
  19. Display the table Total row. 
    1. Display the total for the Quantity column.             
    2. Remove the count from the State column.             
  20. Sort the data alphabetically by values in the Item column.         
  21. Filter the table to show only rows where the value in the           State column is           MD
  22. Create a PivotTable using the data in cells A3:D120 from the data in the PivotData worksheet. The PivotTable should appear on its own worksheet. Use values from          the Item column as the rows and the sum of          values in the Quantity column as the values.         
  23. Name the PivotTable worksheet: PivotTable It should be located to the left          of the PivotData worksheet.         
  24. Insert a PivotChart on the PivotTable worksheet. Use a pie chart to represent the total quantity           
    for each item. If necessary, move the PivotChart to the right of the          PivotTable so it does not cover the data.         
  25. This workbook includes a hidden worksheet with online sales data from the 2018 buy one          get one free sale. 
    1. Unhide the BOGOSale2018 worksheet.             
  26. Save and close the workbook.
  27. Upload and save your project file.         
  28. Submit project for grading.

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rewrite

Rewrite along with the diagams,for plagarism free.

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UFO Sightings- building website

Do certain areas have higher concentrations of sightings?

What is the most common shape of a sighting?

What is the average duration of a sighting?

Is there a higher concentration of sightings at night?

Data sets are here:   

https://www.kaggle.com/NUFORC/ufo-sightings/metadata (Century of data)Attached

http://www.nuforc.org/webreports/ndxe202004.html (April sightings 2020) 

Sketch ideal visuals 

Bubble Map to view concentration levels of sightings (Leaflet)

example: https://www.d3-graph-gallery.com/bubblemap.html

Lollipop Chart to view the most common shapes of a sighting 

example: https://www.d3-graph-gallery.com/lollipop.html

Violin Chart to view the bins of duration for a sighting

example: https://www.d3-graph-gallery.com/violin.html

Word Cloud of submitted summaries for each sighting (D3)

example: https://www.d3-graph-gallery.com/graph/wordcloud_size.html

Requirements: 

Your assignment should: 

Include A dashboard page with multiple charts that updates from the same data

Should include Json amCharts (https://www.amcharts.com/javascript-maps/) 

Must include some level of user-driven interaction(e.g, menus, dropdowns. textboxes)

Main web page with navbar (possible separate pages for charts as well)           

Main page with a filter for selected dates/locations with a collective chart change 

Main Chart on top of screen – Map of locations (Bubble)

Secondary chart below or beside Bubble: Amchart pictorial 

(This chart will show how many sightings per period selected) 

Filtered charts per date or location:  

Violin, Lollipop, Word Cloud                                                 

A combination of web scraping and Leaflet or Plotly 

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personas for project design

Develop two personas for your individual design project. Use the information and samples on page 406 of the course textbook to guide you. The personas should look visually pleasing and professional. Each persona should take up one page in a word file. Submit your word file using this assignment link prior to the deadline.

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A network consisting of M cities and M-1 roads connecting them is given

  A network consisting of M cities and M-1 roads connecting them is given. Cities are labeled with distinct integers within the range [o. (M-1)] Roads connect cities in such a way that each pair of distinct cities is connected either by a direct road or along a path consisting of direct roads. There is exactly one way to reach any city from any other city. In other words, cities and direct roads form a tree. The number of direct roads that must be traversed is called the distance between these two cities. For example, consider the following network consisting of ten cities and nine roads: 2 0 Cities 2 and 4 are connected directly, so the distance between them is 1. Cities 4 and 7 are connected by a path consisting of the direct roads 4-0,0-9 and 9-7; hence the distance between them is 3. One of the cities is the capital, and the goal is to count the number of cities positioned away from it at each of the distances 1,2,3,.., M -1. If city number 1 is the capital, then the cities positioned at the various distances from the If city number 1 is the capital, then the cities positioned at the various distances from the capital would be as follows: . 9 is at a distance of 1 · 0, 3, 7 are at a distance of 2; 8,4 are at a distance of 3; 2, 5, 6 are at a distance of 4. Write a function: class Solution t public int[] solution(int[] T)h that, given a non-empty array T consisting of M integers describing a network of M cities and M 1 roads, returns an array consisting of M-1 integers, specifying the number of cities positioned at each distance 1, 2,…, M – 1. Array T describes a network of cities as follows: · if T[P] Q and P = Q, then P is the capital; if T[P Q and P Q, then there is a direct road between cities P and Q. For example, given the following array T consisting of ten elements: T[2] 4 T[6]8 T[9] = 1 = 9 T[7] the function should return [1, 3, 2,3,0,0,0,0,01, as explained above. Write an efficient algorithm for the following assumptions: M is an integer within the range [1..100,000]; each element of array T is an integer within the range [0.M-1] there is exactly one (possibly indirect) connection between any two distinct cities.  

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Data Analytics discussion 6

Question #C.2 page 309 Chapter 7

A sportswriter wants to know how strongly the residents of Indianapolis, Indiana, support the local minor league baseball team, the Indianapolis Indians. He stands outside the stadium before a game and interviews the first 30 people who enter the stadium. Suppose that the newspaper asks you to comment on the approach taken by this sportswriter in performing the survey. How would you respond? 

Question #C.3 page 309 Chapter 7

C.3. A large corporation has 4520 male and 567 female employees. The organization’s equal employment opportunity officer wants to poll the opinions of a random sample of employees. To give adequate attention to the opinions of female employees, exactly how should the EEO officer sample from the given population? Be specific. 

Question #C.4 page 309 Chapter 7

C.4. Suppose that you want to estimate the mean monthly gross income of all households in your local community. You decide to estimate this population parameter by calling 150 randomly selected residents and asking each individual to report the household’s monthly income. Assume that you use the local phone directory as the frame in selecting the households to be included in your sample. What are some possible sources of error that might arise in your effort to estimate the population mean? 

Question #C.5 page 309 Chapter 7

C.5. Provide an example of when you might want to take a stratified random sample instead of a simple random sample, and explain what the advantages of a stratified sample might be. C.6. Provide an example of when you might want.

Question #C.2 Page 353 Chapter 8

When, if ever, is it appropriate to use the standard normal distribution as a substitute for the t distribution with n − 1 degrees of freedom in estimating a population mean?

=========================================================
I’m Attaching text book for the reference, Questions are from this text book.

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I need help in completing my task

 

Complete the following assignment in one MS word document:

Chapter 5 –discussion question #1-4 & exercise 6 & internet exercise #7

Chapter 6– discussion question #1-5 & exercise 4

When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.

All work must be original (not copied from any source).

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Python API- Vacationpy

 

Now let’s use your skills in working with weather data to plan future vacations. Use jupyter-gmaps and the Google Places API for this part of the assignment.

* **Note:** if you having trouble displaying the maps try running `jupyter nbextension enable –py gmaps` in your environment and retry.

* Create a heat map that displays the humidity for every city from the part I of the homework.

![heatmap](Images/heatmap.png)

* Narrow down the DataFrame to find your ideal weather condition. For example:

* A max temperature lower than 80 degrees but higher than 70.

* Wind speed less than 10 mph.

* Zero cloudiness.

* Drop any rows that don’t contain all three conditions. You want to be sure the weather is ideal.

* **Note:** Feel free to adjust to your specifications but be sure to limit the number of rows returned by your API requests to a reasonable number.

* Using Google Places API to find the first hotel for each city located within 5000 meters of your coordinates.

* Plot the hotels on top of the humidity heatmap with each pin containing the **Hotel Name**, **City**, and **Country**.

![hotel map](Images/hotel_map.png)

As final considerations:

* Create a new GitHub repository for this project called `API-Challenge` (note the kebab-case). **Do not add to an existing repo**

* You must complete your analysis using a Jupyter notebook.

* You must use the Matplotlib or Pandas plotting libraries.

* For Part I, you must include a written description of three observable trends based on the data.

* You must use proper labeling of your plots, including aspects like: Plot Titles (with date of analysis) and Axes Labels.

* For max intensity in the heat map, try setting it to the highest humidity found in the data set.

## Hints and Considerations

* The city data you generate is based on random coordinates as well as different query times; as such, your outputs will not be an exact match to the provided starter notebook.

* You may want to start this assignment by refreshing yourself on the [geographic coordinate system](http://desktop.arcgis.com/en/arcmap/10.3/guide-books/map-projections/about-geographic-coordinate-systems.htm).

* Next, spend the requisite time necessary to study the OpenWeatherMap API. Based on your initial study, you should be able to answer basic questions about the API: Where do you request the API key? Which Weather API in particular will you need? What URL endpoints does it expect? What JSON structure does it respond with? Before you write a line of code, you should be aiming to have a crystal clear understanding of your intended outcome.

* A starter code for Citipy has been provided. However, if you’re craving an extra challenge, push yourself to learn how it works: [citipy Python library](https://pypi.python.org/pypi/citipy). Before you try to incorporate the library into your analysis, start by creating simple test cases outside your main script to confirm that you are using it correctly. Too often, when introduced to a new library, students get bogged down by the most minor of errors — spending hours investigating their entire code — when, in fact, a simple and focused test would have shown their basic utilization of the library was wrong from the start. Don’t let this be you!

* Part of our expectation in this challenge is that you will use critical thinking skills to understand how and why we’re recommending the tools we are. What is Citipy for? Why would you use it in conjunction with the OpenWeatherMap API? How would you do so?

* In building your script, pay attention to the cities you are using in your query pool. Are you getting coverage of the full gamut of latitudes and longitudes? Or are you simply choosing 500 cities concentrated in one region of the world? Even if you were a geographic genius, simply rattling 500 cities based on your human selection would create a biased dataset. Be thinking of how you should counter this. (Hint: Consider the full range of latitudes).

* Once you have computed the linear regression for one chart, the process will be similar for all others. As a bonus, try to create a function that will create these charts based on different parameters.

* Remember that each coordinate will trigger a separate call to the Google API. If you’re creating your own criteria to plan your vacation, try to reduce the results in your DataFrame to 10 or fewer cities.

* Lastly, remember — this is a challenging activity. Push yourself! If you complete this task, then you can safely say that you’ve gained a strong mastery of the core foundations of data analytics and it will only go better from here. Good luck!

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Matplotlib Challenge

  • Using Matplotlib, generate a box and whisker plot of the final tumor volume for all four treatment regimens and highlight any potential outliers in the plot by changing their color and style.
    Hint: All four box plots should be within the same figure. Use this Matplotlib documentation page for help with changing the style of the outliers.
  • Select a mouse that was treated with Capomulin and generate a line plot of time point versus tumor volume for that mouse.
  • Generate a scatter plot of mouse weight versus average tumor volume for the Capomulin treatment regimen.
  • Calculate the correlation coefficient and linear regression model between mouse weight and average tumor volume for the Capomulin treatment. Plot the linear regression model on top of the previous scatter plot.
  • Look across all previously generated figures and tables and write at least three observations or inferences that can be made from the data. Include these observations at the top of notebook.

Here are some final considerations:

  • You must use proper labeling of your plots, to include properties such as: plot titles, axis labels, legend labels, x-axis and y-axis limits, etc.
  • See the starter workbook for help on what modules to import and expected format of the notebook.

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