tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 138241d1327584432-solved-need-to-return-a-specified-cell-based-on-the-highest-value-in-a-range-copy-of-test-worksheet
Sheet: Reference Checks

 | REFERENCE CHECKS
 |  | Refereces Checked?   Yes           No |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Reference Score:
 |  | Refereces Checked?   Yes           No |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Reference Score:
 |  | Refereces Checked?   Yes           No |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Reference Score:
 |  | Refereces Checked?   Yes           No |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Reference Score:
 |  | Refereces Checked?   Yes           No |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Reference Score:
Spreadsheet: 710446d1608986598-prime-and-composite-numbers-inventory
Sheet: Sheet1

A | B | C | D | E | F | Prime/Composite
2 | 3 | 4 | 5 | 6 | 7
10 | 24 | 31 | 59 | 81 | 99
10 | 11 | 19 | 35 | 41 | 88
Spreadsheet: a2a2b3c2-785e-4f79-bd0c-32af632cd556
Sheet: Output 1

PROJECT TITLE | Implementation of the Agricultural Model Intercomparison and Improvement Project (AgMIP) for South Asia and Sub-Saharan Africa
OUTPUT 1 | Indicator | Baseline (2011) | Milestone (2012) | Milestone (2013 | Target (2014) | Assumptions
Improved crop and agricultural economic  models as well as calibrated outputs for Sub-Saharan Africa and South Asia through model simulations of baseline period and model intercomparisons | [NAME] team[1] protocols[2] and representative agricultural pathways[3] developed and validated for SUB-SAHARAN AFRICA and S Asia regions. | 0 | [NAME] from AgMIP Kickoff Workshop Establishment of a list of evolving variables included in Agricultural Pathways. | Publish protocols in peer-reviewed journal Establishment of a list of evolving variables included in Agricultural Pathways. | 4 protocols and 1 peer-reviewed journal article. | Researchers will contribute simulation results from their locally validated models that adhere to [NAME] protocols for calibration and intercomparisons.
 |  |  |  |  | 4 Pathways and 1 peer-reviewed journal  article.
 |  | Source:  [NAME] website: www.agmip.org;  Peer-reviewed journals.
 | Indicator | Baseline (2011) | Milestone (2012) | Milestone (2013 | Target (2014) | Local and regional data will be located/estimated that will suit the input requirements for crop and economic models.
 | Number of agricultural locations  and number of regionally important crops that demonstrate improved skill scores. | 0 | 20 sentinel sites in Africa and 20 in South Asia and 4 major  crops simulated – maize, wheat, rice, soybean. | 40 sentinel sites in Africa and 40 in South Asia and 6 crops simulated, including millet and sorghum. | 100 total in Africa and South Asia/ 20138 major crops simulated inc. sugarcane and cotton.
 |  | Source:  [NAME] website: www.agmip.org.
IMPACT WEIGHTING | Indicator | Baseline (2011) | Milestone (2012) | Milestone (2013 | Target (2014) | RISK RATING
0.4 | Peer-reviewed articles on crop and economic model intercomparisons. | 0 | Peer-reviewed article on crop model intercomparison. | Peer-reviewed article on economic model intercomparison. | 4 (2 per region). | low
 |  | Source:  Peer- reviewed journals
INPUTS (£) | DFID (£) | Govt (£) | Other (£) | Total (£) | DFID SHARE (%)
INPUTS (HR) | DFID (FTEs)
Notes:
[1] There are four [NAME] teams: Climate, Crop Modeling, Economics, and Information Technology.
[2] Set of consistent data collection, model validation, and simulation tasks for climate change impacts and adaptation assessment in the agriculture sector; set of standards that allows rigorous comparisons and improved characterization of uncertainties in climate change projections on regional and global agriculture.
[3] A coordinated set of scenarios characterizing potential future directions in agriculture and food security that will provide cross-scale and cross-disciplinary consistency with the climate projections arising from the IPCC Representation Concentration Pathways, simulations of the agricultural economic models, and field level simulations of the crop models.
Spreadsheet: c900236c-fd3b-41d2-956c-5d6fc62ead56
Sheet: 2+

ASSURANT (Insurance Co.)
MNM Bike Events | Bike | Assurant | Team Assurant | Ruettimann | [NAME] | 14 | 8786
MNM Walk Events | Walk | Assurant | Team Assurant | Sawyer | [NAME] | 22 | 2895
 |  |  |  |  |  |  | 11681 | 11681
ING DIRECT (Banking/Financial)
DED Bike Events | Bike | ING Direct | ING Direct | [NAME] | Criag | 7 | 2950
DED Walk Events | Walk | ING Direct | ING Direct | Meisinger | Faith | 14 | 668
 |  |  |  |  |  |  | 3618 | 3618
 |  |  |  |  |  |  |  | 15299
Spreadsheet: 161628d1339584021-prettier-graphs-and-easier-x-axis-change-2012-monitoring-sheet_pt_jpr73
Sheet: PT_TOC

[NAME] TOC Min | (Tous)
[NAME] TOC Max | (Tous)
[NAME] TOC Avg | (Tous)
[NAME] | (Tous)
Upper Limit TOC | (Tous)
 | Données
Date | [NAME] TOC Min | [NAME] TOC Max | [NAME] TOC Avg | [NAME] | Upper Limit TOC
2012-05-15 00:00:00 | 412.11 | 506.68 | 494.35 | 10.29 | 800
2012-05-16 00:00:00 | 422.98 | 506.68 | 494.43 | 10.19 | 800
2012-05-17 00:00:00 | 470.6 | 506.62 | 496.02 | 8.29 | 800
2012-05-18 00:00:00 | 454.2 | 507.01 | 492.12 | 12.36 | 800
2012-05-19 00:00:00 | 434.68 | 505.59 | 482.92 | 12.65 | 800
2012-05-20 00:00:00 | 4.62 | 1900.54 | 498.09 | 166.3 | 800
2012-05-21 00:00:00 | 4.26 | 5003.69 | 389.98 | 393.76 | 800
2012-05-22 00:00:00 | 4.85 | 901.84 | 560.51 | 193.94 | 800
2012-05-23 00:00:00 | 5.94 | 469.72 | 457.24 | 39.53 | 800
2012-05-24 00:00:00 | 7.04 | 5004.08 | 876.1 | 1277.87 | 800
2012-05-25 00:00:00 | 255.22 | 452.5 | 404.04 | 29.4 | 800
2012-05-26 00:00:00 | 156.27 | 361.27 | 263.76 | 38.53 | 800
2012-05-27 00:00:00 | 109.81 | 384.78 | 245.19 | 46.89 | 800
2012-05-28 00:00:00 | 9.77 | 1884.15 | 272.12 | 204.31 | 800
2012-05-29 00:00:00 | 4.85 | 1234.28 | 271.03 | 64.79 | 800
Spreadsheet: 770173d1645860639-extract-number-from-haphazard-data-book3
Sheet: Sheet3

ORIGINAL DATA |  |  |  |  |  |  |  |  |  | REQUIRED DATA
01-04-2021 |          |10506 |B/F |  |  |  |  |  |  |  |  |  | DATE | PARTICULARS | Debit/Credit | BALANCE
05-04-2021 |05-04-2021|10506 |UPI/[PHONE]/20210404
|       219.00|         30,676.11 Cr |  |  |  |  |  |  |  |  |  |  |  | 219 | 30676.11
06-04-2021 |06-04-2021|10506 |UPI/[PHONE]/Cr/Paytm/PYTM/payouts@payt
|      3539.00|         34,215.11 Cr |  |  |  |  |  |  |  |  |  |  |  | 3539 | 34215
07-04-2021 |07-04-2021|10506 |UPI/[PHONE]/Cr/Paytm/PYTM/payouts@payt
|      1312.00|         35,527.11 Cr |  |  |  |  |  |  |  |  |  |  |  | 1312 | 35527
Spreadsheet: 80316d1280492176-array-find-first-occurance-of-a-name-lens1
Sheet: Sheet1

Date | Team | 1 | 2 | 3 | 4 | 5
2010-01-01 00:00:00 | Bog United | [NAME] | Fred | Mark | [NAME] | [NAME]
2010-01-03 00:00:00 | [NAME] | [NAME] | [NAME] | Derek | [NAME] | [NAME]
2010-01-09 00:00:00 | Creaking Knees Athletic | [NAME] | [NAME] | Clive | Derek | [NAME]
2010-01-11 00:00:00 | Silver Surfer Albion | [NAME] | Fred | [NAME] | Clive | [NAME]
2010-01-21 00:00:00 | [NAME] | [NAME] | [NAME] | Fred | Clive | [NAME]
 |  |  |  |  |  |  | Player | First Date Played | Team Played
 |  |  |  |  |  |  | [NAME] |  | #N/A
 |  |  |  |  |  |  | Clive |  | #N/A
 |  |  |  |  |  |  | [NAME] |  | #N/A
 |  |  |  |  |  |  | Derek |  | #N/A
 |  |  |  |  |  |  | Fred |  | #N/A
 |  |  |  |  |  |  | [NAME] |  | #N/A
 |  |  |  |  |  |  | [NAME] |  | #N/A
 |  |  |  |  |  |  | [NAME] |  | #N/A
 |  |  |  |  |  |  | [NAME] |  | #N/A
 | This colour the array called apps.
 | In here I need a formula that looks along each line until it finds the first name (i.e. [NAME]) and puts the dates of 03/01/2010 in the cell
Spreadsheet: 33849d1230694430-conditional-format-help-match-matches
Sheet: Sheet2

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | If any person matches what they have pick on worksheet one a red background should be listed under this person on worksheet two
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | IND
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DEN
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DAL
 | Gayle |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WAS
 | [NAME]
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | JAC
 | [NAME]
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | SD
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GB
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | PHI
 | Nathan
 | NewPort
 | Pam |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | SD
Spreadsheet: 114211d1310013536-return-maximum-value-with-conditions-example-10-1-
Sheet: Sheet1

A | B
0.1 | a
0.05 | 0
1.11 | 0
1.11 | 1 |  |  |  | 0.1 | #N/A | 0.05
7.63 | a |  |  |  | 2.45 | #N/A | #N/A
0.19 | 0
0.16 | 0
3 | 1
0.17 | 0
8 | a
0.17 | 0
0.17 | 0 |  |  | Required Answer |  |  |  |  | [NAME]
1.24 | 1 |  |  | If exclude zero from column B
1.68 | 2 |  |  | MIN |  |  | 0.1 |  | 0.1
2.54 | 2 |  |  | MAX |  |  | 8 |  | 8
1.01 | a
1.65 | 3
2.11 | 2 |  |  | If exclude both zero & non numerics from column B
2 | 2 |  |  | MIN |  |  | 1.01 |  | 1.11
1.85 | 2 |  |  | MAX |  |  | 3 |  | 3
2.45 | 2
Spreadsheet: 778854d1651399451-formula-to-calculate-change-percentage-change-ans
Sheet: Sheet1

Line item | 2020-07-01 00:00:00 | 2021-07-01 00:00:00 | % Change | FORMULA
8400/000 STD BANK 270466274 | 0 | 0 | 0
8410/000 Petty Cash | 0 | 0 | 0
Receipts from Customers | 1262299.59 | 1493487.59 | 0.1831
Rebates Received | 19841.16 | 5762.17 | -70,96%
Rental Office Equipment | 10043.75 | 7975.25 | -20,59%
STANDARD BANK LOAN ACCOUNT | 0 | 0 | 0
Sundry Customers | 0 | 0 | 0
Sundry Income | 0 | 0 | 0
STD BANK 270466274 | 0 | 100000
Petty Cash | 0 | 200000
Standard Bank - Savings Acc -  374575568 | 0 | 200000
Deferred - Standard Bank - Tata | 0 | 0
Sars - Income Tax | 0 | 1499249.76
TOTAL RECEIPTS | 2153096.14 | 1499249.76
Payments to Suppliers | 868684.2 | 1305769.94
Accounting Fees | 10250 | 11850
Bank Charges | 1992.49 | 2013.41
Cleaning | 801 | 840
Computer Expenses | 4957.5 | 0
Consulting Fees | 0 | 1650
Courier & Postage | 0 | 0
CELL PHONE EXPENSES | 0 | 0
Donations | 17000 | 0
Directors Fees / Members Remuneration | 17000 | 0
Entertainment Expenses | 0 | 0
General Expenses | 6000 | 6000
General Expenses      - Gifts | 0 | 6000
General Expenses - Fines | 0 | 0
Interest Paid - Bank | 10370.69 | 0
Insurance | 10370.69 | 9639.2
Leasing Charges | 892.4 | 972.72
Motor Vehicle Expenses | 800 | 0
Motor Vehicle Expenses  - Parking | 0 | 0
Motor Vehicle - Petrol & Oil | 0 | 600
Motor Vehicle - Repairs & Maint. | 1377.7 | 487
Printing & Stationery | 1377.7 | 1378.46
Repairs & Maintenance | 1154.7 | 142
Repairs and Maintenance - Office | 0 | 142
Salaries & Wages | 0 | 1747.72
Salaries & Wages - Casual Wages | 458.99 | 1747.72
Security Costs | 458.99 | 504.89
Staff [NAME] | 0 | 5184.88
Staff Training | 0 | 2629
Staff Welfare | 87.94 | 2629
Subscriptions | 161 | 2195.61
Staff Loans | 2584.52 | 0
Telephone & Fax | 2584.52 | 4691.48
Standard Bank - Mini Countryman | 0 | 6615.05
STANDARD BANK- KIA2020-CAA127242 | 0 | 3929.94
STANDARD BANK-KIA 2020-CAA127248 | 0 | 3929.94
STANDARD BANK-FORD RANGER-CAA82115 | 0 | 5849.89
Computer Software | 0 | 0
Loan Account - I Wilcox | 0 | 0
Standard Bank Credit Card Acc | 40460.96 | 96597.05
Standard Bank - Salaries account | 200000 | 150000
Salary & Wages Control | 31379.93 | 0
Sundry Creditors | 0 | 0
Vat / Tax Control Account | 0 | 0
TOTAL PAYMENTS | 1209457.77 | 2039265.09
NET CASH MOVEMENT | 943638.37 | -540015.33
JOURNAL ENTRIES PROCESSED | 789964.95 | 100000
TOTAL CLOSING BANK BALANCE | 0 | -58264.83
Spreadsheet: 786410d1657179373-search-date-x-days-prior-with-array-formula-data-array-test
Sheet: Sheet1

IDENTIFIER | NAME | STATUS | FUND DATE |  | SEARCH
LEAD - Agnes Manning | Agnes Manning | LEAD
[NAME] | [NAME] | LEAD
LEAD - Rochelle Hodges | [NAME] | LEAD
FUNDED - Abel Garrett | [NAME] | FUNDED | 2019-08-12 00:00:00
FUNDED - Amelia Walker | Amelia Walker | FUNDED | 2021-09-21 00:00:00
[NAME] | [NAME] | FUNDED | 2018-12-31 00:00:00
FUNDED - Connie Malone | [NAME] | FUNDED | 2021-09-14 00:00:00
FUNDED - Cora Schwartz | [NAME] | FUNDED | 2018-12-31 00:00:00
FUNDED - Cory Brewer | [NAME] | FUNDED | 2021-11-12 00:00:00
FUNDED - Craig Rhodes | [NAME] | FUNDED | 2018-12-31 00:00:00
Spreadsheet: 841240d1693443706-unique-count-filter-count-lookup-test-solution-
Sheet: Solution

 | 1 | 2 | 3 | 4
Dept -Code | Emp Count | Emp Count | Emp Count | Emp Count
TN-PR-ASS |  |  |  |  |  | 1
TN-PR-IDS |  |  |  |  |  | 2
TN-PR-PSH |  |  |  |  |  | 3
TN-PR-QAS |  |  |  |  |  | 4
TN-PR-REC
TN-PR-REP
TN-PR-VMI
TN-PR-VAS
TN-PR-WAR
TOTAL
Spreadsheet: 140439d1328746590-how-to-find-if-a-sequence-of-numbers-in-column-a-is-also-in-column-b-ip-sorting-example
Sheet: Sheet1

if an IP address in column B is found in column A, the contents of column B are copied to column C
List 1 - | List 2 | Consolidated and Cleaned List
 |  | ( some examples):
92.96.248.73    # abcde | 87.248.129.26:1234 | 87.248.129.26:1234
89.108.168.10   # fghi | 46.4.7.198:3128 | blank cell
87.248.129.26 # klmn | 180.183.117.213:4545 | 180.183.117.213:4545
71.42.153.145  # abcde | 180.241.218.126:80 | blank cell
83.168.111.179  # opqr | 190.74.232.147:8080 | blank cell
209.45.87.186  # fghi | 61.163.240.1:8888 | blank cell
180.183.117.213  # [NAME] | 118.97.193.203:3128 | blank cell
etc | 92.99.189.223:8118 | blank cell
etc | 92.96.248.73:8080 | 92.96.248.73:8080
etc | 180.243.235.40:8080 | blank cell
etc | 83.168.111.179:3128 | 83.168.111.179:3128
etc
etc
etc
etc
etc
etc
etc
etc
etc
etc
etc
etc
etc
etc
Spreadsheet: 205990d1357970504-selecting-multiple-items-in-a-list-danh-sach-nhap-lieu-
Sheet: Sheet4

 | Món ăn Việt | Cơm | Xôi | [NAME] | Đồ nướng | Đồ rừng | [NAME] nhậu | Nhà hàng, nhiều món | Đồ ăn vặt | Khác
 | Phở, hủ tiếu, cháo | Miến | Món lẩu | Phở | Bún | Cháo | Mì | Hủ tiếu | Khác
 | Hải sản
 | Ăn nhanh, [NAME], beffet | Cơm hộp | Hamburger | Pizza | Beffet
 | Ăn [NAME]
 | Món ăn Quốc tế | Ý | [NAME] | Hàn Quốc | Ấn Độ | Nga | Trung Quốc | [NAME] | Nhiều nước | Khác
 | [NAME], đồ uống | [NAME] ngọt | Nước trái cây | Chè | Kem | Sữa chua | Khác
Spreadsheet: mark_haedicke__24590__2002 Plan Budget Pack - Legal Group 021001(HCODE)
Sheet: Mnth Appendices 2002 Plan 

2002 Plan | Salaries & Wages
 | Travel & Entertainment
 | Office Expenses
 | Consultancy
 | Audit & Legal
 | Occupancy Costs
 | General & Admin
 | Communications
 | Taxes Other Than Income
 | TOTAL G&A
2001 Actual / CE2 | Salaries & Wages
 | Travel & Entertainment
 | Office Expenses
 | Consultancy
 | Audit & Legal
 | Occupancy Costs
 | General & Admin
 | Communications
 | Taxes Other Than Income
 | TOTAL G&A
[NAME] | Salaries & Wages
 | Travel & Entertainment
 | Office Expenses
 | Consultancy
 | Audit & Legal
 | Occupancy Costs
 | General & Admin
 | Communications
 | Taxes Other Than Income
 | TOTAL G&A
Spreadsheet: 31059d1226775260-calculating-formula-not-working-properly-book1
Sheet: recipe 1

RECIPE CALCULATOR
ingredient | serv size | serving size | cal / serving | total calories | fat | total fat | sat fat | total sat fat | carbs | total carbs | sugar | total sugar | fiber | total fiber | protein | total protein |  | sodium | total sodium | calcium | total calcium | chol | total cholesterol
broth, beef (college inn) 1 cup | 1.75 | 1 | 25 | 43.75 | 1 | 1.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 7 |  | 900 | 1575 | 20 | 35 | 0 | 0
broth, beef (college inn) 8 oz | 14 | 8 | 25 | 350 | 1 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 56 |  | 900 | 12600 | 20 | 280 | 0 | 0
broth, beef (college inn) 8 oz | 1.75 | 8 | 25 | 43.75 | 1 | 1.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 7 |  | 900 | 1575 | 20 | 35 | 0 | 0
broth, beef (college inn) 8 oz | 15 | 8 | 25 | 375 | 1 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 60 |  |  | 0 |  | 0 |  | 0
[NAME] lean (raw)  grams | 1 | 100 | 176 | 176 | 10 | 10 | 4.058 | 4.058 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 20 |  | 0 | 0 | 0 | 0 | 0 | 0
[NAME] lean (raw)  grams | 100 | 100 | 176 | 17600 | 10 | 1000 | 4.058 | 405.8 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 2000 |  | 0 | 0 | 0 | 0 | 0 | 0
[NAME] lean (raw)  grams | 1.5 | 100 | 176 | 264 | 10 | 15 | 4.058 | 6.087 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 30 |  | 0 | 0 | 0 | 0 | 0 | 0
[NAME] lean (raw)  grams | 150 | 100 | 176 | 26400 | 10 | 1500 | 4.058 | 608.6999999999999 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 3000 |  | 0 | 0 | 0 | 0 | 0 | 0
total calories per recipe ===> | 45252.5
servings per recipe ===> |  |  |  | NOTE - the calories for 8 oz is 25 calories.  Entering 14.5oz gives the wrong total calories.  Need to enter 1.75 to get the correct total calories.      WOULD LIKE TO BE ABLE TO ENTER 14.5 OZ AND HAVE IT GIVE THE CORRECT TOTAL CALORIES   ----   also if the item weight is 100 grams per serving is there some way to just put 100 in column b and get it to calculate the rest of the information correctly???
calories per serving ===>
fat per recipe === > | 2557.5
fat per serving ===>
sat fat per recipe ===> | 1024.645
sat fat per serving ===>
carbs per recipe ===> | 0
carb per serving ===>
sugar | 0
sugar
fiber | 0
fiber
protein | 5180
protein
Spreadsheet: 155547d1336936981-need-help-with-macros-for-invoice-worksheet-invoice-sheet-rev2-me
Sheet: Sheet1

Code | Description | Price |  | STOCK |  |  | STOCK
203010 | PART A | 2 |  | 10 |  |  | 10
203011 | PART B | 4 |  | 16 |  |  | 16
203012 | PART C | 6 |  | 30 |  |  | 30
203013 | PART D | 8 |  | 35 |  |  | 35
203014 | PART E | 10 |  | 48 |  |  | 48
203015 | PART F | 12 |  | 60 |  |  | 60
203016 | PART G | 14 |  | 70 |  |  | 70
Spreadsheet: ea5ba128-9068-47b3-bd97-4fa5588ce742
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
PLINK | Test | PLINK | PNH, PI-Linked Antigen, Blood | PNH, PI-Linked AG, B | Flow Cytometric Immunophenotyping | Yellow-Top (ACD) Tube: ACD |  |  | 6 | mL | [NAME] must arrive within 72 hours of draw.  Container/Tube: Preferred: Yellow top (ACD solution B) Acceptable: Lavender top (EDTA) [NAME]: 2.6 mL Collection Instructions: Do not transfer blood to other containers. Forms: If not ordering electronically, please submit a Hematopathology/Molecular Oncology Request Form (Supply T241) with the specimen. | 1 mL | Hemolysis	Mild OK; Gross reject Thawing	NA Lipemia	NA Icterus	NA Other	NA | An interpretive report will be provided.   RED BLOOD CELLS: [NAME] loss: 0.00-0.99% PNH RBC-Complete Antigen loss: 0.00-0.01% [NAME]: 0.00-0.01% PNH Monocytes: 0.00-0.05% | Monday through Saturday | 1 day | 2 days |  | Profile |  |  |  |  | Rochester
PLINK | [NAME] | BLOOD | Whole blood |  |  |  | Ambient | 72 hours
PLINK | Result | CK079 | Interpretation | Interpretation | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 69052-9 | Flow cytometry specialist review:Imp:Pt:XXX:Nar:
PLINK | Result | [NAME] | [NAME] Loss | [NAME] Loss | Unknown |  |  |  |  | % |  |  |  |  |  |  |  |  |  | In Process
PLINK | Result | CK081 | [NAME] Loss | [NAME] Loss | Unknown |  |  |  |  | % |  |  |  |  |  |  |  |  |  | In Process
PLINK | Result | CK082 | [NAME] | [NAME] | Unknown |  |  |  |  | % |  |  |  |  |  |  |  |  |  | In Process
PLINK | Result | CK083 | [NAME] | [NAME] | Unknown |  |  |  |  | % |  |  |  |  |  |  |  |  |  | In Process
PLINK | Billing Component | PLINK |  | FLOWCYTOMETRY/TC ADD-ON |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 | 88185
PLINK | Billing Component | PLINK |  | FLOWCYTOMETRY/ TC 1 MARKER |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 88184
PLINK | [NAME] | 88466 | Flow Cytometry Interpretation, 9 to 15 Markers ([NAME] Only) | Flow Cytometry Interp, 9-15 Markers |  |  |  |  |  |  | Only to be ordered by pathology consultant. This test is for billing purposes only. |  |  |  |  |  |  | 1 | 88188 |  |  | No | No ([NAME] Only)
Spreadsheet: a13882bf-0c4a-454d-87e8-8ed31bce9d0c
Sheet: Sheet1

Listi | Unnamed: 1
V-1 | Tekjur, gjöld og jöfnuður hins opinbera
V-2 | Tekjur, gjöld og jöfnuður ríkissjóðs
V-3 | Tekjur, gjöld og [NAME]
V-4 | Tekjur og gjöld sveitarfélaga
V-5 | Skuldir hins opinbera
V-6 | Tekjuafgangur og hreinn lánsfjárafgangur ríkissjóðs
V-7 | Reglulegar tekjur ríkissjóðs án eignasölu og gjöld án vaxta
V-8 | Þróun skatttekna ríkissjóðs
V-9 | Ríkisútjöld eftir tegundum
V-10 | Þróun ríkisútgjalda, [NAME]
Spreadsheet: 883150d1731633480-finding-a-date-equal-to-or-immediately-less-than-todays-date-paydaterangesample
Sheet: 2024

 | Sheet name = any year (example: 2024) I give it. Other sheets reference this using the VLOOKUP and INDIRECT(YEAR(TODAY()) formulas
 |  |  |  | Pay Date
 |  |  |  | 2024-01-01 00:00:00 | <- First one is entered manually, the rest are calculated
Spreadsheet: sally_beck__35756__MgmtSum-Q1-0222
Sheet: Summary

ENRON NORTH AMERICA
1ST QUARTER 2000 EARNINGS ESTIMATE
Results based on Activity through February 18, 2000
 |  | Earnings Before Tax |  |  |  | Components of Earnings Before Tax |  |  |  |  |  |  |  |  |  | Variances from Plan
 |  |  |  |  |  | Actual | Deals | Forecast | Total | Operating | Capital | Direct | Allocated |  |  | Total | Operating | Capital | Direct | Allocated
Business Team |  | Estimate | Plan | [NAME] |  | Margin | Identified | Margin | Margin | Expenses | Charge | Expenses | Expenses | Total |  | Margin | Expenses | Charge | Expense | Expense | Total
Gas Trading
Power Trading
Financial Drift
Financial Trading
Canada
Coal
Weather
Emissions
Insurance Group
Executive Trading
Total Trading & Risk Mgt.
East Midstream
West Midstream
Industrial Downstream - Paper
Industrial Downstream - Chemicals
Midstream IPP
Upstream E&P
Asset Management
Mexico
Executive Origination
Total Origination
Genco
Generation Investments
Gas Assets
Gas Assets - Trading
Total Assets
Principal Investing
Restructuring
Canada - Investing
Total Investing
Commercial Transactions Group
Office of the Chairman
Total Commercial
Group |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
Other Interest Related Charges
Capital Charge Offset
Overview |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
ENA EBIT
Interest Income/(Expense) |  |  | -12000 |  |  |  |  |  |  |  |  |  |  |  |  | 0
[NAME]
 |  |  |  | MPR Change:
Spreadsheet: darrell_schoolcraft__7346__imball0201
Sheet: Conoco

 | Maljamar |  | Zia |  |  |  |  |  |  |  |  | Avg
Day | Measured | Scheduled | Measured | Scheduled |  |  | Month | Measured | Scheduled | Imbalance | Index | Amount
1 | 41789 | 35858 | 30108 | 32000
2 | 37927 | 35858 | 30887 | 32000 |  |  | 2001-03-01 00:00:00 |  |  |  | 4.98
3 | 32549 | 35858 | 32901 | 32000 |  |  | 2001-04-01 00:00:00 |  |  |  | 4.87
4 | 30654 | 35620 | 34690 | 31782 |  |  | 2001-05-01 00:00:00 |  |  |  | 3.82
5 | 33190 | 33700 | 30637 | 30158 |  |  | 2001-06-01 00:00:00 |  |  |  | 3.2
6 | 31722 | 33700 | 34293 | 30158 |  |  | 2001-07-01 00:00:00 |  |  |  | 2.77
7 | 31843 | 33700 | 34597 | 30158
8 | 29795 | 32700 | 32940 | 34158
9 | 30149 | 32000 | 32215 | 33158
10 | 32222 | 32067 | 32379 | 34000
11 | 30694 | 32067 | 32638 | 34000
12 | 31245 | 27834 | 29946 | 31791
13 | 31719 | 32067 | 28145 | 32000
14 | 28127 | 27999 | 30808 | 28999
15 | 30588 | 32067 | 30690 | 32000
16 | 30738 | 31567 | 32451 | 31000
17 | 30148 | 31567 | 33774 | 31000
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-12-31 00:00:00 |  |  |  |  | 460426.69
2002-01-17 00:00:00
CBS Volume
 |  |  | 17967