tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 820498d1678130629-sumifs-function-gives-0-as-result-sum-of-three
Sheet: Employees

ID number | Name and surname | Sex | Building | Sector | Salary | "x" to select | total selected:
6 | Sandra Nedić | Ženski | Zgrada 1 | HR | 440
46 | [NAME] | Ženski | [NAME] | HR | 890
47 | [NAME] | Ženski | [NAME] | HR | 456 | x
48 | Draguna Nedić | Ženski | [NAME] | HR | 567
5 | [NAME] | Muški | Zgrada 1 | IT | 480
40 | Boban Ivanović | Muški | [NAME] | IT | 980 | x
41 | [NAME] | Muški | [NAME] | IT | 658 | x
42 | Božidar Ivanović | Muški | [NAME] | IT | 790
43 | [NAME] | Muški | [NAME] | IT | 865
44 | [NAME] | Muški | [NAME] | IT | 754
45 | [NAME] | Muški | [NAME] | IT | 654
7 | Danijela Stanković | Ženski | Zgrada 1 | Komercijalista | 370
49 | Milovan Nedić | Muški | [NAME] | Komercijalista | 675
50 | Predrag Nedić | Muški | [NAME] | Komercijalista | 654
4 | [NAME] | Muški | Zgrada 1 | Logistika | 600
31 | [NAME] | Ženski | [NAME] | Logistika | 456
32 | [NAME] | Muški | [NAME] | Logistika | 654
33 | Milovan Sekulović | Muški | [NAME] | Logistika | 647
34 | [NAME] | Muški | [NAME] | Logistika | 456
35 | Marina Vujović | Ženski | [NAME] | Logistika | 345
36 | Ognjen Simonović | Muški | [NAME] | Logistika | 675
37 | [NAME] | Muški | [NAME] | Logistika | 456
38 | [NAME] | Ženski | [NAME] | Logistika | 689
39 | Nataša Pelević | Ženski | [NAME] | Logistika | 890
2 | [NAME] | Ženski | Zgrada 1 | Pravna služba | 400
17 | Slađana Đapić | Ženski | Zgrada 1 | Pravna služba | 350
18 | Radmila Berkhout | Ženski | Zgrada 1 | Pravna služba | 280
19 | [NAME] | Ženski | Zgrada 1 | Pravna služba | 210
20 | [NAME] | Muški | Zgrada 1 | Pravna služba | 345
21 | Marica Nedić | Ženski | Zgrada 1 | Pravna služba | 480
22 | [NAME] | Muški | Zgrada 1 | Pravna služba | 615
23 | [NAME] | Ženski | Zgrada 1 | Pravna služba | 345
3 | [NAME] | Ženski | Zgrada 1 | Projektovanje | 350
24 | Nebojša Nedić | Muški | Zgrada 1 | Projektovanje | 456
25 | Željko Popović | Muški | Zgrada 1 | Projektovanje | 234
26 | [NAME] | Muški | Zgrada 1 | Projektovanje | 234
27 | [NAME] | Muški | Zgrada 1 | Projektovanje | 532
28 | Darijan Stanimirović | Muški | Zgrada 1 | Projektovanje | 345
29 | Vesna Babić | Ženski | Zgrada 1 | Projektovanje | 234
30 | [NAME] | Ženski | Zgrada 1 | Projektovanje | 554
1 | Marina Jovanović | Ženski | Zgrada 1 | Računovodstvo | 682
8 | [NAME] | Ženski | Zgrada 1 | Računovodstvo | 520
9 | Andrej Nedić | Muški | Zgrada 1 | Računovodstvo | 400
10 | [NAME] | Muški | Zgrada 1 | Računovodstvo | 380
11 | [NAME] | Ženski | Zgrada 1 | Računovodstvo | 470
12 | [NAME] | Muški | Zgrada 1 | Računovodstvo | 330
13 | [NAME] | Ženski | Zgrada 1 | Računovodstvo | 270
14 | Ana Bojičić | Ženski | Zgrada 1 | Računovodstvo | 560
15 | [NAME] | Muški | Zgrada 1 | Računovodstvo | 490
16 | Iva Nedić | Ženski | Zgrada 1 | Računovodstvo | 420
Spreadsheet: 89058d1288817972-highlighting-data-pulled-from-vlookup-vlookup
Sheet: Source Data

serial 1 | 22
serial 2 | 39
serial 3 | 19
serial 4 | 62
serial 5 | 69
serial 6 | 45
serial 7 | 17
serial 8 | 19
serial 9 | 29
serial 10 | 13
serial 11 | 25
serial 12 | 52
serial 13 | 69
serial 14 | 43
serial 15 | 60
Spreadsheet: 131083d1322733007-formulas-referencing-quarter-and-yearly-achieved-targets-sales_rev_-_samplev3
Sheet: Reporting

Period | 2011-10-01 00:00:00
 | Month Target | Month Achieved | [NAME] | Quarter Target | Quarter Achieved | Yearly Target | Yearly Achieved | % MTD | % QTD | % YTD
CC |  |  |  | $ | $ | $ | $
Con4
JJ
Con5
SS
Con6
Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Revenue by month - Graph
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Split of Revenue by Consultant - pie chart? - Selector MTD,QTD,YTD
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Columns for past performance in previous months (screen shot below)
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Clients that contribute most to our revenue - Selector MTD, QTD, YTD
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Forecasted Sales
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Number of CVs sent out in relation to openings
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Any other useful sales metrics or graphs you could possibly suggest would be fantastic!
Spreadsheet: 65747d1266423665-conditional-formatting-of-a-row-based-on-a-value-in-a-cell-of-that-row-sample-1
Sheet: Employee Search

Variance Tracking Report For: |  | Employee #1
Select Time Table |  | [NAME]
View Start Date: |  | ABS Varaince:
View End Date: |  | Net Variance:
or / Track Back: | 30 | # of Variances:
[NAME] (When All is selected above)
Shift | Net Total | ABS Total | Total #
Day
Swing
Grave
Employee Name | Date | Shift | Location | Original Variance | [NAME] | Total Variance | Comment
 |  |  |  |  |  |  |  |  |  |  | [NAME] | Days | [NAME] |  | [NAME] |  | [NAME] | Total # | Absolute | Net
 |  |  |  |  |  |  |  |  |  |  |  |  | Sunday |  | Total Overages | Total Shortages | Cashier
 |  |  |  |  |  |  |  |  |  |  |  |  | Monday |  |  |  | Main Bank
 |  |  |  |  |  |  |  |  |  |  |  |  | Tuesday |  |  |  | Marker Bank
 |  |  |  |  |  |  |  |  |  |  |  |  | Wednesday |  |  |  | Chip Bank
 |  |  |  |  |  |  |  |  |  |  |  |  | Thursday |  |  |  | ESW-MCA
 |  |  |  |  |  |  |  |  |  |  |  |  | Friday
 |  |  |  |  |  |  |  |  |  |  |  |  | Saturday
Spreadsheet: 857954d1706790286-adding-max-value-to-existing-formula-example-quoting-sheet-_etaf2
Sheet: Sheet1

 | QUOTING
 | CUSTOMER: |  |  |  | DATE: |  |  |  | IFERROR((IF(I27="","",IF(ISNUMBER(VLOOKUP(I27,$F$15:$H$24,3,TRUE)),VLOOKUP(I27,$F$15:$H$24,3,TRUE)," ")))*I27+G13," ")
 | PART NUMBER: |  |  |  | MARKUP %: | 0.1
 | ISSUE NUMBER: |  |  |  | HOURLY RATE:
 |  |  |  |  | PLATING |  | THIS COLUMB TO BE REMOVED. |  |  |  |  |  |  |  |  |  | WAYNE WORKING
 |  |  |  |  | COMPANY: |  |  |  |  |  |  |  |  |  |  |  | lookup=
 |  |  |  |  | QUOTE No: |  |  |  |  |  |  |  |  |  |  |  | lookup*qty
 |  |  |  |  | MIN LINE CHARGE: | 25 |  |  |  |  |  |  |  |  |  |  | find [NAME] the Qty or the min order
 |  |  |  |  | DELIVERY CHARGE: | 10 |  |  |  |  |  |  |  |  |  |  | add the % G5
 | QTY | PRICE EACH £ | MARKEDUP PRICE |  | QTY | PRICE EACH £ | MARKEDUP PRICE |  | QTY | PRICE    EACH £ | MARKEDUP PRICE |  | QTY | PRICE           EACH £ | MARKEDUP PRICE |  | add delivery G12
 |  |  |  |  | 10 | 2 |  | £20 TOTAL BEFORE MARKUP
 |  |  |  |  | 20 | 1.8 |  | £36 TOTAL BEFORE MARKUP
 |  |  |  |  | 50 | 1.6 |  | £80 TOTAL BEFORE MARKUP.
 |  |  |  |  | 100 | 1.1 |  | £110 TOTAL BEFORE MARKUP.
 |  |  |  |  |  |  |  | QUANTITY | QUANTITY | QUANTITY | QUANTITY | QUANTITY | QUANTITY | QUANTITY | QUANTITY | QUANTITY | QUANTITY
 |  |  |  |  |  |  |  | 10 | 20 | 50 | 100
 | PLATING
 |  | NOTES: |  |  |  |  | QUANTITY:
 |  |  |  |  |  |  | TOTAL PRICE:
 |  | THE QTY'S OF 20,50&100 ARE CORRECT, AS THE PRICE OF EACH PART BEFORE THE MARKUP IS HIGHER THAN THE MINIMUM LINE CHARGE OF £25. |  |  |  |  | PRICE EACH:
 |  | THE QTY OF 10 IS NOT CORRECT, £20 IS LOWER THAN THE MINIMUM LINE CHARGE OF £25.
 |  |  |  |  |  |  | What I am trying to do, is lookup the price in the table for the quantity I have in I27 (without the markup applied), multiply it by the quantity in I27, and then compare this price with the minimum line charge that I have in G12, then choose the highest of the two values, and then add the markup % from G5 and the delivery charge from G13. All of the cells must remain clear of any zero's or errors if not populated.
Spreadsheet: 770797d1646255112-working-time-directive-calculations-timesheet2
Sheet: Tables

Week Beginning |  | Sheets | Monday
2021-11-08 00:00:00 | 1 |  |  |  |  | Working Time Directive
 | 2
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 | 4
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 | 25
 | 26
 | 27
 | 28
 | 29
 | 30
 | 31
 | 32
 | 33
 | 34
 | 35
 | 36
 | 37
 | 38
 | 39
 | 40
 | 41
 | 42
 | 43
 | 44
 | 45
 | 46
 | 47
 | 48
 | 49
 | 50
 | 51
 | 52
 | 53
 | 54
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 | 56
 | 57
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 | 67
 | 68
 | 69
 | 70
 | 71
 | 72
 | 73
 | 74
Spreadsheet: 818278d1676693709-im-tracking-temperature-for-the-days-looking-for-help-temperature-sample
Sheet: Temp Sample

Temperature
 | High | Low
2023-01-03 00:00:00 | 81.5 | 76.6
2023-01-04 00:00:00 | 77.5 | 72.5
2023-01-05 00:00:00 | 75 | 72.4
2023-01-06 00:00:00 | 75 | 73.24
2023-01-09 00:00:00 | 77 | 73.5 |  |  |  |  | High | Im thinking he first step would be to find the lowest High temperature and  fill that cell a color
2023-01-10 00:00:00 | 76 | 74 |  |  |  |  |  | But  in addition to that argument, it cant have a low temperature above it
2023-01-11 00:00:00 | 78 | 74.5 |  |  |  |  |  | This cell next to the high would contain the lowest high temperature value of 74.5 that did not have a low temperature value above it The 72 doesn’t count because it on the same day
2023-01-12 00:00:00 | 79 | 77
2023-01-13 00:00:00 | 80 | 78 |  |  |  |  | Low | Then for the low temperature the Highest Low temperature fill that green or something
2023-01-17 00:00:00 | 81 | 78.5 |  |  |  |  |  | But  in addition to that argument, it cant have a high temperature below it
2023-01-18 00:00:00 | 83 | 79
2023-01-19 00:00:00 | 81.5 | 78.5 |  |  |  |  |  | Im not sure if this could be updated as I insert additional temperatures
2023-01-20 00:00:00 | 82 | 80 |  |  |  |  |  | This is what I have been working on kinda fiddling with the formulas
2023-01-23 00:00:00 | 83 | 81
2023-01-24 00:00:00 | 82 | 79.5
2023-01-25 00:00:00 | 81 | 79.5
2023-01-26 00:00:00 | 82 | 80
2023-01-27 00:00:00 | 82.5 | 79
2023-01-30 00:00:00 | 80.5 | 77.5
2023-01-31 00:00:00 | 79.25 | 76.5
2023-02-01 00:00:00 | 80 | 76
2023-02-02 00:00:00 | 77.6 | 75
2023-02-03 00:00:00 | 78 | 73.1
2023-02-06 00:00:00 | 74.5 | 72
2023-02-07 00:00:00 | 78 | 74
2023-02-08 00:00:00 | 78.5 | 77
2023-02-09 00:00:00 | 79 | 76.5
2023-02-10 00:00:00 | 80 | 77.5
2023-02-13 00:00:00 | 81 | 78.5
Spreadsheet: 887833d1738164906-incentive-data-calculation-incentive
Sheet: team

 |  |  |  |  | Target |  |  |  | Achievement |  |  |  | Collection
 |  |  |  |  | April'24 | May'24 | June'24 | Target Q1FY24 | April'24 | May'24 | June'24 | [NAME] | April'24 | May'24 | June'24 | Q1FY25
Location | RM EMP Code | Reporting Manager Name | Emp Code | Employee Name | Target | Target | Target
Mumbai | 123456 | Ram | 123 | Prachi | 18 | 32 | 32 |  | 21.894263 | 46.99193099999999 | 69.75906810000001 |  | 30 | 32 | 25
Mumbai | 123456 | Ram | 124 | Ankur | 0 | 12 | 8 |  | 1.857682 | 7.093509 | 3
Mumbai | 123456 | Ram | 125 | Pal | 8 | 12 | 8 |  | 0.0585 | 6.8 | 0
Mumbai | 123456 | Ram | 126 | Chetan | 18 | 38 | 38 |  | 22.295157 | 8.052828 | 74.5005411 |  | -11.34531 | -15.78306 | 0
Mumbai | 123456 | Ram | 127 | Raju | 0 | 0 | 0
Mumbai | 123456 | Ram | 128 | Ray | 0 | 10 | 19
Mumbai | 123456 | Ram | 129 | Phadnis | 56 | 21 | 20 |  | 67.7033 | 65.528207 | 18.5074
 |  | RamTotal
Mumbai | 123457 | Chirag | 130 | Aruti | 10 | 25 | 30 |  | 4.566625 | 32.375705 | 0.2482935
Mumbai | 123457 | Chirag | 131 | Mohamd | 50 | 18 | 12 |  | 35.6469434 | 2.8529613 | 3.166214
Mumbai | 123457 | Chirag | 132 | Anand | 20 | 20 | 20 |  | 20.511069 | 27.9099333 | 1.930392
Mumbai | 123457 | Chirag | 133 | Jayotsna | 0 | 7 | 8 |  | 0.42228 | 1.33016 | 5.044756
 |  | Chirag Total
Mumbai | 123458 | Faheem | 123457 | Chirag
Mumbai | 123458 | Faheem | 123458 | lalsh
 |  | [NAME]
Mumbai | 123458 | Lalsh | 134 | majid | 20 | 15 | 15 |  | 3.187695 | 5.1787 | 13.6694457
Mumbai | 123458 | Lalsh | 135 | [NAME] | 0 | 5 | 5 |  | 0 | 1.969 | 7.67875
Mumbai | 123458 | Lalsh | 136 | Himmat | 40 | 30 | 30 |  | 35.46504 | 19.66296 | 11.6378
Mumbai | 123458 | Lalsh | 137 | Gorge | 0 | 5 | 5 |  | 0 | 0.6 | 0.3
Mumbai | 123458 | Lalsh | 138 | [NAME] | 0 | 0 | 10
Mumbai | 123458 | Lalsh | 139 | hetan | 20 | 25 | 5 |  | 22.653 | 12.239802 | 14.095503
Mumbai | 123458 | Lalsh | 140 | [NAME] | 0 | 0 | 10 |  | 0 | 0 | 0.324
 |  | Lalsh Total
Mumbai | 123460 | Mathur | 123456 | Ram
Mumbai | 123460 | Mathur | 123459 | Sayonee
 |  | Mathur Total
Mumbai | 123459 | Sayonee | 141 | [NAME] | 50 |  |  |  | 38.284575 | 1.759725 | 0
Mumbai | 123459 | Sayonee | 142 | Meghna | 0 | 0 | 25 |  | 0 | 0 | 39.521628
Mumbai | 123459 | Sayonee | 143 | Sachin | 30 | 95 | 70 |  | 13 | 103.830725 | 76.60725
 |  | Sayonee Total
Mumbai | 123655 | Nilu | 123458 | Faheem
Mumbai | 123655 | Nilu | 123460 | Mathur
Mumbai | 123900 | Maran | 123655 | Nilu |  |  |  | 0 | 2.1 | 4.5 | 0 |  |  | 5
 |  | Nilu Total
Spreadsheet: 846342d1697577687-power-query-data-transformation-datatransq
Sheet: Before

Student ID | Surname | Preferred | Gender | Year Level | Homeroom | Room | Date | Session | Class Code | Subject Description
20001 | [NAME] | [NAME] | M | 10 | 10 Blue | R12 | 2023-11-01 00:00:00 | 1 | M1 | Math
20001 | [NAME] | [NAME] | M | 10 | 10 Blue | R43 | 2023-10-30 00:00:00 | 2 | S2 | Science
20110 | Jones | May | F | 11 | 11 Green | Q07 | 2023-10-29 00:00:00 | 1 | E8 | English
20110 | Jones | May | F | 11 | 11 Green | R43 | 2023-11-01 00:00:00 | 1 | D1 | Design
20110 | Jones | May | F | 11 | 11 Green | R12 | 2023-11-04 00:00:00 | 3 | T2 | Technology
Spreadsheet: 80510d1280755915-populate-a-cell-with-information-that-is-based-on-2-items-in-the-spreadsheet-book1_gdub23
Sheet: Sheet1

AGE | Weight | Division |  |  | AGE
6 | 70 |  |  | Weight (lbs) | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14
7 | 75 |  |  | 0 | [NAME] | Mighty Mite | Mighty Mite | [NAME] | [NAME] | Junior | Junior 1 | Junior 2 | Senior
8 | 100 |  |  | 75 | Mighty Mite | Mighty Mite | Mighty Mite | [NAME] | [NAME] | Junior | Junior 1 | Junior 2 | Senior
8 | 104.5 |  |  | 100 | Mighty Mite | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior | Junior 1 | Junior 2 | Senior
8 | 105 |  |  | 105 | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior | Junior 1 | Junior 1 | Junior 2 | Senior
9 | 100 |  |  | 110 | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior | Junior 1 | Junior 1 | Junior 2 | Senior
9 | 104 |  |  | 120 | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior | Junior 1 | Junior 2 | Junior 2 | Senior
9 | 105 |  |  | 130 | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior 1 | Junior 1 | Junior 2 | Senior | Senior
10 | 99 |  |  | 140 | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior 1 | Junior 2 | Junior 2 | Senior | Senior
10 | 100 |  |  | 150 | Mighty Mite | Mighty Mite | [NAME] | Junior | Junior 1 | Junior 2 | Senior | Senior | Senior
10 | 129
10 | 130
11 | 104
11 | 105
11 | 139
11 | 140
12 | 119
12 | 120
12 | 149
12 | 150
13 | 129
13 | 130
13 | 205
14 | 185
14 | 205
Spreadsheet: chris_germany__1840__DPLcapacitybymonth
Sheet: 11-99

DAYTON CAPACITY : |  |  | 1999-11-01 00:00:00 |  | NYMEX | 3
 |  |  |  |  |  | [NAME] | TOTAL | Receipt | Delivered | RISK WORKS
PIPE | RECEIPT | DELIVERED | DELIVERY POINT | FUEL | COMMODITY | DEL CHARGE | VARIABLE | Basis | Basis | Transfer
ANR |  | 783 | Pool to Farmersville (DPL) gate | 0.0451 | 0.0147 | 0 |  | -0.05 |  | 0.105
PEPL |  | 8780 | Pool to DPL gate or other point (milage) | 0.0486 | 0.0523 | 0 |  | -0.0775 |  | 0.125
TXG |  | 6173 | zn SL or zn 1 to DPL gate in zn 4 | 0.0337 | 0.0429 | 0 |  | -0.0175 |  | 0.13
TCO |  | 9095 | Leach / Lebanon FT to DPL gate | 0.0223 | 0.0246 | 0
TRUNK |  | 9502 | ELA or WLA to TETCO or [NAME] | 0.0279 | 0.0174 | 0 |  | -0.05 |  | 0.055
TETCO |  | 9131 | Receipt from Trunkline to Market | 0.039 | 0.0723 | 0 |  |  |  | 0.25
GULF |  | 47158 | Receipt from Mainline to Tco | 0.02988 | 0.0192 | 0 |  | 0.03 |  | 0.145
Trunk |  | 10617 | Bourbon / Tuscola | 0.0279 | 0.0174 | 0
Pepl |  | 10521 | Gas City / Tetco / Lebanon | 0.009 | 0.0075 | 0
Tetco |  | 10476 | Farmersville / Lebanon | 0.0043 | 0.0871 | 0
Trunk |  | 10617 | Bourbon / Tuscola | 0.0279 | 0.0174 | 0
Pepl |  | 10474 | [NAME] or Tco Maumee | 0.018 | 0.01 | 0
 |  |  | 282 Miles
Trunk |  | 10617 | Bourbon / Tuscola | 0.0279 | 0.0174 | 0
Pepl |  | 10426 | MichCon / Consumers / Union | 0.018 | 0.0125 | 0
 |  |  | 347 - 350 Miles
 |  |  |  | 30 | Days | Nov '99
 |  |  | APPROMIMATE SST AVAILABLE FOR CES USE Daily:
 |  |  |  | 240000 | Daily SST |  | Monthly SST
 |  |  |  | 45000 | Daily DPL |  | Monthly DPL
Spreadsheet: 816497d1675671613-mutiple-formula-and-if-blank-to-not-calculate-sample-2-here
Sheet: Sheet1

M | S |  |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S |  |  | M | S
 |  |  | R1 |  | 1 | 2 |  |  | 1 | 2 |  |  | 1 | 2 |  |  | 2 | 2 |  |  | 2 | 2 |  |  | 3 | 2 |  |  | 3 | 1 |  |  | 1 | 1 |  |  | 1 | 1 |  |  | 1 | 3 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R2 |  | 2 | 2 |  |  | 1.1 | 2 |  |  | 1.1 | 2 |  |  | 1.1 | 3 |  |  | 1.1 | 3 |  |  | 1.1 | 1 |  |  | 1.1 | 1 |  |  | 1.1 | 1 |  |  | 1.1 | 1 |  |  | 1.1 | 3 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R3 |  | 1 | 6 |  |  | 1.2 | 2 |  |  | 1.2 | 2 |  |  | 1.2 | 3 |  |  | 1.2 | 3 |  |  | 1.2 | 1 |  |  | 1.2 | 1 |  |  | 1.2 | 1 |  |  | 1.2 | 1 |  |  | 1.2 | 3 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R4 |  | 3 | 2 |  |  | 1.3 | 2 |  |  | 1.3 | 2 |  |  | 1.3 | 2 |  |  | 1.3 | 2 |  |  | 1.3 | 1 |  |  | 1.3 | 1 |  |  | 1.3 | 1 |  |  | 1.3 | 4 |  |  | 1.3 | 5 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R5 |  | 4 | 5 |  |  | 1.4 | 5 |  |  | 1.4 | 2 |  |  | 1.4 | 4 |  |  | 1.4 | 5 |  |  | 1.4 | 5 |  |  | 1.4 | 5 |  |  | 1.4 | 5 |  |  | 1.4 | 5 |  |  | 1.4 | 5 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R6 |  | 4 | 5 |  |  | 1.5 | 5 |  |  | 1.5 | 5 |  |  | 1.5 | 4 |  |  | 1.5 | 5 |  |  | 1.5 | 5 |  |  | 1.5 | 5 |  |  | 1.5 | 5 |  |  | 1.5 | 2 |  |  | 1.5 | 2 |  |  |  | 5 |  |  |  | 5 |  |  |  | 5 |  |  |  | 5 |  |  |  | 5 |  |  |  | 5 |  |  |  | 5
 |  |  | R7 |  | 1 | 2 |  |  | 1.6 | 2 |  |  | 1.6 | 2 |  |  | 1.6 | 2 |  |  | 1.6 | 2 |  |  | 1.6 | 1 |  |  | 1.6 | 1 |  |  | 1.6 | 3 |  |  | 1.6 | 2 |  |  | 1.6 | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R8 |  | 3 | 3 |  |  | 1.7 | 2 |  |  | 1.7 | 2 |  |  | 1.7 | 2 |  |  | 1.7 | 2 |  |  | 1.7 | 1 |  |  | 1.7 | 1 |  |  | 1.7 | 3 |  |  | 1.7 | 2 |  |  | 1.7 | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2 |  |  |  | 2
 |  |  | R9
 |  |  | R10
 |  |  |  |  | I entered the formula you made but now its not showing anything at all not even the most used number. Please note I need the most needed numbers under these specific cells   (F3,J3,N3,R3,V3,Z3,AD3,AH3,AL3,AP3,AT3,AX3,BB3,BF3,BJ3,BN3,BR3)
Spreadsheet: 158e79a8-b76b-4533-a4c7-be02b96c977b
Sheet: Sheet1

GENERAL FUND BUDGET | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
CONSERVATION DISTRICT
 |  | JANUARY 1 - DECEMBER 31, 2012
 |  | [NAME] | ACTUAL PRIOR YEAR 2010 | ESTIMATED CURRENT YEAR 2011 | BUDGET YEAR  2012
Beginning Balance January 1 |  |  |  | 0 | 0
REVENUE
 |  | Advertisements sold
 |  | Building Rent
 |  | Charges for services
 |  | Donations
 |  | Equipment Rent
 |  | Equipment Sales
 |  | General Property Tax ([NAME])
 |  | Interest Earned
 |  | Meeting Income
 |  | Membership Drive
 |  | Sale of Supplies (Specify below)
 |  | Trees
 |  | PAM
 |  | Soils Reports
 |  | Misc. Inc.
 | Grants
 |  | State (Specify Agency & Grants Name(s) below)
 |  | Direct Assistance
 |  | Matching Grants (CSCB)
 |  | Conservation District Technician (CDT)
 |  | BSPP
 |  | IWM & Tech Payroll assistance
 |  | Admin
 |  | Cost-Share
 |  | Urban Water Study
 |  | Other:
 |  | Federal (Specify Agency & Grant Name)
 |  | CIG:
 |  | Other:
 |  | Other:
 |  | County
 |  | Weed
 |  | Other:
 |  | Other Income (Specify below)
TOTAL REVENUE |  |  | 0 | 0 | 0
TOTAL AVAILABLE FUNDS |  |  | 0 | 0 | 0
 |  | EXPENDITURES ON NEXT PAGE
 |  | [NAME] | ACTUAL PRIOR YEAR 2010 | ESTIMATED CURRENT YEAR 2011 | BUDGET YEAR  2012
EXPENDITURES
 |  | Advertisements
 |  | Audits/Accounting
 |  | Awards
 |  | Bank Charges
 |  | Building Maintenance
 |  | Contributions
 |  | Contract Work
 |  | Cost of Supplies
 |  | Donations
 |  | Dues
 |  | Election Expenses
 |  | Equipment Maintenance
 |  | Equipment Purchase
 |  | Equipment Rent
 |  | Fuel
 |  | Information/Education
 |  | Insurance
 |  | Interest Paid
 |  | Legal
 |  | Meetings
 |  | Office Supplies
 |  | Postage
 |  | Publications
 |  | Payroll
 |  | Urban Water Study
 |  | Repairs
 |  | Scholarships
 |  | Subscriptions
 |  | Taxes
 |  | Telephone
 |  | Travel Expenses
 |  | Utilities
 |  | Other (Specify below)
 |  | BSPP Cost share
 |  | CSCB 15% matching grant
 |  | CSCB 15% matching grant refunded
 |  | Tech Grant refund
TOTAL EXPENDITURES |  |  | 0 | 0 | 0
 | Annual Net |  | 0 | 0 | 0
Ending Balance December 31  (Beginning Bal. + Annual Net) |  |  | 0 | 0 | 0
 | Emergency Reserves - Do NOT Spend (3% of Annual Expenditures) |  | 0 | 0 | 0
 | Unrestricted Reserves  (Ending Balance - Emergency Res.) |  | 0 | 0 | 0
Spreadsheet: aa6fde93-97b8-4594-b091-72939e07578c
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
ULCH | Test | ULCH | Ulocladium chartarum, IgE | Ulocladium Chartarum, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube: Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday; 9 a.m.-8 p.m., Saturday; 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
ULCH | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
ULCH | Result | ULCH | Ulocladium Chartarum, IgE | Ulocladium Chartarum, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 11204-5
Spreadsheet: chris_stokley__3836__ISO to SCL Comparison Pivots
Sheet: Capacity Split SCL and EPMI

 | Data
Date | Sum of SCL Final Amount | Sum of Enron Share | Sum of Amount
2001-09-01 00:00:00 | -1075.05 | -358.35 | -1433.4
2001-09-06 00:00:00 | -6840.25 | -2280.1 | -9120.35
2001-09-07 00:00:00 | -23080.09 | -7693.41 | -30773.5
2001-09-08 00:00:00 | -11512.47 | -3837.53 | -15350
2001-09-11 00:00:00 | -7938.33 | -2646.17 | -10584.5
2001-09-12 00:00:00 | -5879.81 | -1959.94 | -7839.75
2001-09-13 00:00:00 | -49049.62 | -16349.88 | -65399.5
2001-09-14 00:00:00 | -35787.49 | -15008.26 | -50795.75
2001-09-15 00:00:00 | -10321.4606 | -3440.49 | -13761.9506
2001-09-16 00:00:00 | -5882.12 | -1960.78 | -7842.9
2001-09-17 00:00:00 | -5677.07 | -1892.43 | -7569.5
2001-09-18 00:00:00 | -4222.62 | -3901.88 | -8124.5
2001-09-19 00:00:00 | -92813.0581 | -30937.7 | -123750.7581
2001-09-20 00:00:00 | -45637.68 | -15212.57 | -60850.25
2001-09-21 00:00:00 | -19997.08 | -6665.67 | -26662.75
Grand Total | -325714.1987 | -114145.16 | -439859.3587