Business Finance
Excel homework

### Question Description

assignments for Excel . please follow the instructions note, you will find the note on each page

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OMAR ALSHAMMARI Your first and last name goes in the red box Enter your first and last name in cell A1 of this sheet. The exam has 7 problems. before starting so you can budget your time. All instructions are on the tabs. I f you don't know how to do something skip it a know. When you have everything else finished, go back to the problem that you skippe up formulas to be copied when possible. Before closing, be sure your name is on the file. Save the file to your desktop LastNameExcel2 (your lastname) When finished, close Excel and submit through BlackBoard exam has 7 problems. Take a moment to look at all do something skip it and go on to something you do roblem that you skipped. Formulas are important. Set e file to your desktop with the filename Income & Expenses Edmund Income Lydia Total Income Food Utilities Phone Insurance Expenses Car Travel Mortgage Misc. Total Expenses NET Net Income Monthly Average Edmund Income Lydia Total Income Food Utilities Phone Insurance Expenses Car Travel Mortgage Misc. Total Expenses NET Net Income Jan 4,750 1,500 6,250 -480 -135 -85 -410 -325 -105 -1,552 -400 -3,492 2,758 Feb 4,750 1,200 5,950 -430 -115 -85 -410 -325 -55 -1,552 -350 -3,322 2,628 Trend 4,750 1,600 6,350 -615 -133 -109 -500 -325 -460 -1,552 -995 -4,690 1,661 Mar 4,750 1,500 6,250 -575 -145 -105 -410 -325 -135 -1,552 -300 -3,547 2,703 Apr 4,750 1,400 6,150 -615 -125 -125 -475 -325 -275 -1,552 -375 -3,867 2,283 May 4,750 1,100 5,850 -545 -130 -110 -475 -325 -1,100 -1,552 -5,750 -9,987 -4,137 Jun 4,750 2,300 7,050 -675 -135 -120 -525 -325 -225 -1,552 -275 -3,832 3,218 Jul 4,750 2,200 6,950 -725 -155 -115 -525 -325 -235 -1,552 -180 -3,812 3,138 In row 4, enter a formula to total the salaries in rows 2 and 3. In row 13, enter a formula to total the expenses in rows 5 thro In row 14, enter a formula to find the Net Income. In C17:C29, calculate the averages for the income and expense function must be used. In C17:C29, add data bars to the values. In D17, insert line sparklines from the range C2:N2. Copy down Create a pie chart of the income values in the range B17:C18 to income between Edmund and Lydia. Resize the chart to cover th title to "Income" and apply the Style3 chart style to chart. Create a pie chart of the expenses values in the range B20:C27. P17:T30. Change the chart title to "Expenses" and apply the Sty data labels appear to overlap, select one of the overlapping dat position. Save the file. Aug 4,750 2,400 7,150 -815 -160 -135 -525 -325 -1,750 -1,552 -2,420 -7,682 -532 Sep 4,750 1,500 6,250 -575 -125 -85 -525 -325 -75 -1,552 -210 -3,472 2,778 Oct 4,750 1,300 6,050 -605 -135 -85 -575 -325 -125 -1,552 -375 -3,777 2,273 Nov 4,750 1,300 6,050 -625 -105 -125 -575 -325 -715 -1,552 -415 -4,437 1,613 Dec 4,750 1,500 6,250 -715 -125 -135 -575 -325 -725 -1,552 -895 -5,047 1,203 salaries in rows 2 and 3. e expenses in rows 5 through 12. Net Income. r the income and expenses from the 12-month budget. A nge C2:N2. Copy down through D29. es in the range B17:C18 to show the breakdown of the family Resize the chart to cover the range O1:S14. Change the chart chart style to chart. ues in the range B20:C27. Resize the chart to cover the range and apply the Style3 chart style to the chart. If any ne of the overlapping data labels, and drag it to another 1 2 3 4 5 6 6 7 8 9 10 11 12 10/19/2018 2017 2016 2015 Total Revenue 3,391,814 3,308,989 3,368,545 Cost of Revenue 2,564,709 2,446,235 2,515,796 827,105 862,754 852,749 Research Development 143,969 134,300 132,460 General 253,827 270,261 280,928 5,146 89,664 476,924 402,942 494,225 890,312 424,163 368,529 (37,563) Gross Profit Operating Expenses Non Recurring Total Operating Expenses Operating Income or Loss 1. Create a 3-D Clustered Column chart of Gross Profit, Operating Income or Loss, and Net Income for 2017, 2016 and 2015. 2. The legend must display "Gross Income", "Operating Income", "Net Income or Loss" 3. The legend must display on the right. 4. The horizontal axis labels must be "2017", "2016", "2015". The chart title must be "Income Amounts" 6. Move the chart to be on a new sheet called Income Chart. You cannot cut and paste. Income Chart sheet must be between #2 and #3. 7. Save the file. Income from Continuing Operations Total Other Income/Expenses Net 9,810 11,735 11,647 Earnings Before Interest And Taxes 433,973 380,264 (25,916) Interest Expense Income Before Tax Income Tax Expense Net Income 20181019005842excel2_f18.xlsx 1,982 1,884 431,991 378,380 13,888 (39,804) 30,124 25,179 56,534 401,867 353,201 (96,338) Page 6 #2 10/19/2018 Pack Type School Travel Hiking Sport External Frame Internal Frame Total Cases Year 1 500 600 - Year 2 750 800 50 Year 3 1,000 1,200 100 100 Year 4 1,200 1,500 300 500 1,100 1,600 2,400 3,500 Year 5 1,500 1,800 500 800 50 50 4,700 Year 6 2,000 2,500 750 1,000 250 500 7,000 Year 7 2,500 3,000 1,000 1,500 500 800 9,300 Year 8 3,000 3,500 1,250 2,000 750 1,000 11,500 Year 9 4,000 3,500 1,500 2,500 1,000 1,500 14,000 Year 10 6,000 4,000 2,000 3,000 1,500 2,000 18,500 Total 22,450 22,400 7,400 11,450 4,050 5,850 73,600 1. Create a 3-D Pie chart of Travel for all years. 2. There will be ten pieces of the pie. 3. The legend will display the year names. 4. The chart title will display "Projected Travel Sales". 5. Format the pieces of the pie to have data labels. The Value and Percentage should display. 6. Display the chart in F10:K25. 7. Save the file. Source: U.S.Energy Information Administration 20181019005842excel2_f18.xlsx Page 7 #3 1. Perform the following sort all at the same time and in the order listed: Style(A-Z), Size (A-Z), In Stock(Small - Large) 2. Subtotal the data using the Subtotal tool so that the Price is totaled for each Style. 3. Display the subtotals to show the Style totals and the Grand Total. ( Color, Size and In Stock will display as a blank column under the headings). 4. Create a column chart of the Styles and their totals. There will be three columns. Remove the chart title. 5. Display the chart next to the data. 6. Save the file. Item ID 5001 5003 5006 5007 5008 5011 5012 5013 5016 5017 5018 5021 5022 5023 5027 5028 5031 5032 5033 5037 5038 Style T-shirt Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt Jersey Sweatshirt T-shirt Jersey Sweatshirt Jersey Sweatshirt Color White Green White Green Green White Green Green White Green Green White Green Green Green Green White Green Green Green Green Size yxsm ylg ymed lxl yxl ylg mmed llg yxl mlg lxl lxsm mxl mmed mxxl mlg lmed mxxxl mxl mxxxxl mxxl Price In Stock 8 20 10 20 22 10 25 25 12 30 28 16 35 30 40 31 16 40 33 40 35 5 2 4 2 2 8 2 5 5 5 5 12 6 10 6 10 20 8 15 8 16 5041 5042 5043 5046 5048 5051 5053 5056 5058 5061 5063 5068 5073 5078 5081 5083 5086 5088 5093 5096 5098 5101 5103 5106 5108 5111 5113 5118 5122 5123 T-shirt Jersey Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt Sweatshirt Sweatshirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt Sweatshirt Jersey Sweatshirt White Green Green White Green White Pink White Pink White Pink Pink Pink Pink White Pink White Pink Pink White Pink White Yellow White Yellow White Yellow Yellow Yellow Yellow mxxl yxl mxxxl mxl mxxxxl mmed ylg msm yxl ysm llg lxl mmed mlg lxl mxl lsm mxxl mxxxl llg mxxxxl mxxxxl ylg mlg yxl mxxxl llg lxl yxl mmed 22 15 38 20 40 20 20 20 22 10 25 28 30 31 18 33 16 35 38 16 40 24 20 20 22 23 25 28 25 30 21 0 15 22 16 15 4 10 4 6 10 10 20 20 21 30 13 32 30 15 36 18 2 20 2 24 5 5 3 10 5127 5128 5132 5133 5137 5138 5141 5142 5143 5146 5147 5148 5151 5152 5153 5156 5157 5158 5161 5162 5163 5166 5168 5171 5173 5176 5178 5183 5188 5193 Jersey Sweatshirt Jersey Sweatshirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt Sweatshirt Sweatshirt Sweatshirt Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Blue Yellow Yellow Blue Yellow Yellow Blue Yellow Blue Yellow Blue Yellow Blue Blue Blue Blue yl mlg llg mxl lxl mxxl lmed mlg mxxxl yxlg mxl mxxxxl ymed mxxl ylg yxsm mxxxl yxl mxxl mxxxxl llg llg lxl lxl mmed mlg mlg mxl mxxl mxxxl 25 31 30 33 30 35 15 35 38 10 35 40 10 35 20 10 40 22 18 40 25 15 28 15 30 18 31 33 35 38 3 10 5 15 5 16 5 5 15 5 5 18 5 8 2 5 8 2 10 8 5 5 5 5 10 10 10 15 16 15 5196 5198 5201 5203 5206 5208 5211 5213 5216 5218 5221 5223 5226 5228 5231 5233 5236 5238 5241 5242 5243 5246 5247 5248 5251 5252 5256 5257 5261 5262 T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey Sweatshirt T-shirt Jersey T-shirt Jersey T-shirt Jersey Yellow Blue Yellow White Yellow White Yellow White Yellow White Yellow White Yellow White Yellow White Yellow White Blue Pink White Blue Pink White Blue Pink Blue Pink Blue Pink mxxxxl mxxxxl lsm ylg lxsm yxl ylg llg ysm lxl mxxxl mmed mxl mlg msm mxl mmed mxxl yxsm ylg mxxxl ymed yxl mxxxxl ylg llg mxxxxl lxl lxl mlg 18 40 15 20 15 22 10 25 10 28 18 30 18 31 18 33 18 35 10 20 38 10 20 40 10 22 25 22 16 25 10 18 5 2 5 2 5 5 5 5 10 10 10 10 5 15 5 16 5 10 15 5 10 18 5 10 30 10 25 10 5266 5267 5271 5272 5276 5277 5281 5286 5291 5296 5301 5311 5326 5331 5346 T-shirt Jersey T-shirt Jersey T-shirt Jersey T-shirt T-shirt T-shirt T-shirt T-shirt T-shirt T-shirt T-shirt T-shirt Blue Pink Blue Pink Blue Pink Blue Blue Blue Blue Blue Blue Blue Blue Blue lxsm mxl lmed mxxl msm mxxxl mxxxl mxl mmed mlg ysm yxl lsm llg mxxl 16 25 16 25 20 25 25 20 20 20 10 10 16 16 25 5 8 10 5 20 5 30 30 20 28 5 5 5 20 30 1. 2. 3. 4. 5. Sort the data by Business (A-Z). Convert the data to a table. Add a Total row that averages the Amount. Count the Sales ID. Use the Total Row tool to display the totals. Filter the data to display on Thursday. Save the file. Sale Date 7/1/2017 7/1/2017 7/1/2017 7/1/2017 7/3/2017 7/3/2017 7/3/2017 7/3/2017 7/4/2017 7/4/2017 7/4/2017 7/4/2017 7/5/2017 7/5/2017 7/5/2017 7/5/2017 7/6/2017 7/6/2017 7/6/2017 7/6/2017 7/7/2017 7/7/2017 7/7/2017 7/7/2017 7/8/2017 7/8/2017 7/8/2017 7/8/2017 7/10/2017 7/10/2017 7/10/2017 7/10/2017 7/11/2017 7/11/2017 7/11/2017 7/11/2017 7/12/2017 Day Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday Tuesday Wednesday Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday Tuesday Wednesday Sales ID 1 4 4 4 2 2 2 2 5 5 5 5 4 4 4 4 3 3 3 3 1 1 1 1 1 1 1 1 2 2 2 2 3 3 3 3 4 Business Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Amount 265.76 247.33 81.50 631.62 246.96 473.98 238.48 301.36 323.62 218.27 41.18 577.06 284.08 407.68 157.42 522.30 351.09 559.90 40.91 631.79 323.89 488.62 208.13 239.39 375.26 531.82 110.08 230.02 175.98 500.18 229.01 499.82 152.77 320.78 156.00 274.30 262.96 7/12/2017 7/12/2017 7/12/2017 7/13/2017 7/13/2017 7/13/2017 7/13/2017 7/14/2017 7/14/2017 7/14/2017 7/14/2017 7/15/2017 7/15/2017 7/15/2017 7/15/2017 7/17/2017 7/17/2017 7/17/2017 7/17/2017 7/18/2017 7/18/2017 7/18/2017 7/18/2017 7/18/2017 7/19/2017 7/19/2017 7/19/2017 7/19/2017 7/20/2017 7/20/2017 7/20/2017 7/20/2017 7/21/2017 7/21/2017 7/21/2017 7/21/2017 7/22/2017 7/22/2017 7/22/2017 7/22/2017 7/24/2017 7/24/2017 7/24/2017 7/24/2017 7/25/2017 7/25/2017 7/25/2017 Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday Tuesday Tuesday Wednesday Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday 4 4 4 5 5 5 5 1 1 1 1 2 2 2 2 4 4 4 4 3 3 3 3 3 5 5 5 5 4 4 4 4 2 2 2 2 1 1 1 1 3 3 3 3 5 5 5 Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care 374.85 60.11 224.72 204.18 352.42 176.58 583.07 293.22 517.86 132.30 207.17 376.22 405.06 58.91 494.43 211.62 493.30 74.16 608.74 234.13 381.86 214.72 214.72 394.40 155.73 338.37 247.20 254.82 291.02 377.06 143.42 241.89 361.95 493.86 234.37 393.63 287.28 243.58 153.81 624.16 364.67 513.46 197.02 366.10 223.94 179.68 119.50 7/25/2017 7/26/2017 7/26/2017 7/26/2017 7/26/2017 7/27/2017 7/27/2017 7/27/2017 7/27/2017 7/27/2017 7/28/2017 7/28/2017 7/28/2017 7/28/2017 7/29/2017 7/29/2017 7/29/2017 7/29/2017 7/31/2017 7/31/2017 7/31/2017 Tuesday Wednesday Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday 5 4 4 4 4 2 2 2 2 1 1 1 1 1 5 5 5 5 1 1 1 Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual 550.05 423.23 494.54 70.62 539.15 248.26 465.62 146.93 462.74 310.04 306.91 84.82 490.19 236.04 474.66 56.61 650.70 141.34 236.75 243.15 587.62 l to display the totals. Sale Date 7/1/2017 7/1/2017 7/1/2017 7/1/2017 7/3/2017 7/3/2017 7/3/2017 7/3/2017 7/4/2017 7/4/2017 7/4/2017 7/4/2017 7/5/2017 7/5/2017 7/5/2017 7/5/2017 7/6/2017 7/6/2017 7/6/2017 7/6/2017 7/7/2017 7/7/2017 7/7/2017 7/7/2017 7/8/2017 7/8/2017 7/8/2017 7/8/2017 7/10/2017 Day Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday Tuesday Wednesday Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Sales ID 1 4 4 4 2 2 2 2 5 5 5 5 4 4 4 4 3 3 3 3 1 1 1 1 1 1 1 1 2 Business Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Amount 265.76 247.33 81.50 631.62 246.96 473.98 238.48 301.36 323.62 218.27 41.18 577.06 284.08 407.68 157.42 522.30 351.09 559.90 40.91 631.79 323.89 488.62 208.13 239.39 375.26 531.82 110.08 230.02 175.98 1. 2. 3. 4. 5. 6. 7. 8. Create a Pivot Table that will display on a new sheet. Include Day, Business and Amount in the table. Column will be Day. Row is Business. Edit the "Sum of Amount" label to say "Income Total". Filter the table to show Monday, Wednesday, Friday. Rename the new sheet to say "Pivot Table". Position between #6 and #7. Save the file. 7/10/2017 7/10/2017 7/10/2017 7/11/2017 7/11/2017 7/11/2017 7/11/2017 7/12/2017 7/12/2017 7/12/2017 7/12/2017 7/13/2017 7/13/2017 7/13/2017 7/13/2017 7/14/2017 7/14/2017 7/14/2017 7/14/2017 7/15/2017 7/15/2017 7/15/2017 7/15/2017 7/17/2017 7/17/2017 7/17/2017 7/17/2017 7/18/2017 7/18/2017 7/18/2017 Monday Monday Monday Tuesday Tuesday Tuesday Tuesday Wednesday Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday 2 2 2 3 3 3 3 4 4 4 4 5 5 5 5 1 1 1 1 2 2 2 2 4 4 4 4 3 3 3 Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care 500.18 229.01 499.82 152.77 320.78 156.00 274.30 262.96 374.85 60.11 224.72 204.18 352.42 176.58 583.07 293.22 517.86 132.30 207.17 376.22 405.06 58.91 494.43 211.62 493.30 74.16 608.74 234.13 381.86 214.72 7/18/2017 7/18/2017 7/19/2017 7/19/2017 7/19/2017 7/19/2017 7/20/2017 7/20/2017 7/20/2017 7/20/2017 7/21/2017 7/21/2017 7/21/2017 7/21/2017 7/22/2017 7/22/2017 7/22/2017 7/22/2017 7/24/2017 7/24/2017 7/24/2017 7/24/2017 7/25/2017 7/25/2017 7/25/2017 7/25/2017 7/26/2017 7/26/2017 7/26/2017 7/26/2017 Tuesday Tuesday Wednesday Wednesday Wednesday Wednesday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday Monday Tuesday Tuesday Tuesday Tuesday Wednesday Wednesday Wednesday Wednesday 3 3 5 5 5 5 4 4 4 4 2 2 2 2 1 1 1 1 3 3 3 3 5 5 5 5 4 4 4 4 Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual 214.72 394.40 155.73 338.37 247.20 254.82 291.02 377.06 143.42 241.89 361.95 493.86 234.37 393.63 287.28 243.58 153.81 624.16 364.67 513.46 197.02 366.10 223.94 179.68 119.50 550.05 423.23 494.54 70.62 539.15 7/27/2017 7/27/2017 7/27/2017 7/27/2017 7/27/2017 7/28/2017 7/28/2017 7/28/2017 7/28/2017 7/29/2017 7/29/2017 7/29/2017 7/29/2017 7/31/2017 7/31/2017 7/31/2017 Thursday Thursday Thursday Thursday Thursday Friday Friday Friday Friday Saturday Saturday Saturday Saturday Monday Monday Monday 2 2 2 2 1 1 1 1 1 5 5 5 5 1 1 1 Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual Group Home Restaurant Residential Care Individual 248.26 465.62 146.93 462.74 310.04 306.91 84.82 490.19 236.04 474.66 56.61 650.70 141.34 236.75 243.15 587.62 Position between #6 and #7. Quarter 1 Child Care Centers Music Practice Medical Centers Religious Centers Miscellaneous Retail Totals Quarter 2 Quarter 3 Quarter 4 Totals 1. In row 4, enter a fo #7c, #7d 2. Fill in formulas for #7c, #7d 3. Save the file. 1. In row 4, enter a formula that references the total cell the corresponding row from #7a, #7b, #7c, #7d Fill in formulas for the rest of the spreadsheet with formula references to sheets #7a, #7b, #7c, #7d. 3. Save the file. Quarter 1 Reveries Urban Centers - Rental Income Data Child Care Centers Music Practice Medical Centers Religious Centers Miscellaneous Retail Totals January February March \$ 4,600 \$ 4,020 \$ 5,830 3,400 6,520 5,020 2,300 3,580 2,400 530 450 250 1,000 600 700 2,150 3,750 3,600 \$ 13,980 \$ 18,920 \$ 17,800 \$ \$ \$ \$ \$ \$ \$ Totals 14,450 14,940 8,280 1,230 2,300 9,500 50,700 Quarter 2 Reveries Urba ...
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