tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0dba8da1-ab9b-42e0-873a-91725d223206
Sheet: import GRADED seats subject piv

Row Labels | FA11 | SP12 | Grand Total | 0 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 010 | 011 | 012 | 013 | 014 | 015 | 016 | 017 | 018 | 019 | 020 | 021 | 022
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27
Sum of Count
Row Labels
ART | 17 | 12 | 29
ASL | 20 | 20 | 40
BIOL |  | 27 | 27
ENGL | 145 | 112 | 257
ENVS | 28 |  | 28
HIST | 26 | 25 | 51
MATH | 203 | 179 | 382
MUL | 44 |  | 44
PSYC | 36 | 16 | 52
SPAN | 95 | 92 | 187
Grand Total | 614 | 483 | 1097
Spreadsheet: 344f2b87-c7fd-48d6-adc7-32d7be83001d
Sheet: Sheet1

NAME | BUSINESS | STREET ADDRESS | CITY | PA | TELEPHONE NUMBER | Unnamed: 6
NATE GINGERICH | HIGH EXPECATIONS TAXIDERMY | 135 CEDAR HILL DRIVE | [NAME] | PA | [PHONE] | T
RODNEY DAVIS | OUTBACK IMAGERY TAXIDERMY | 7503 CARLISLE PIKE | YORK SPRINGS | PA | [PHONE] | T
[NAME] | LEAKWAY TAXIDERMY | 855 PLEASANT GROVE RD | YOR HAVEN | PA | [PHONE] | T
STEVE PROWELL | PROWELLS TAXIDERMY | 1305 SHEEPBRIDGE RD | YORK | PA | [PHONE] | T
CODY ORT | TALL TAIL TAXIDERMY | 800 OLD HANOVER RD | SPRING GROVE | PA | [PHONE] | T
[NAME] | [NAME] | 196 HICKORY ROAD | LITTLESTOWN | PA | [PHONE] | T
RICHARD BECKER | BECKERS TAXIMERY | 315 HOLLYWOOD AVE | NEW OXFORD | PA | [PHONE] | T
[NAME] | [NAME] DRESSING | 14950 CARLISLE RD. | ASPERS | PA | [PHONE] | T
[NAME] | [NAME]. | 464 [NAME]. | ABBOTSTOWNS | PA | [PHONE] | T
[NAME] | SAME | 910 HANOVER PIKE | LITTLESTOWN | PA | [PHONE] | T
[NAME] | GROFT'S WILDLIFE ART | 2360 LEWISBERRY RD. | YORK HAVEN | PA | [PHONE] | T
[NAME] | STEVENS BUTCHER SHOP | 112 CENTER MILLS ROAD | ASPERS | PA | [PHONE] | P
DWIGHT NELL | DWIGHT NELL CUSTOM BUTCHERING | 130 [NAME] CREEK ROAD | EAST BERLIN | PA | [PHONE] | P
LORNE [NAME] | BUTCHER BLOCK MEATS | 3055 BIGLERVILLE RD | BIGLERVILLE | PA | [PHONE] | P
[NAME] PARRISH | GARYS MEAT LOCKER | 236 POPLAR STREET | HANOVER | PA | [PHONE] | P
WANTZ BROS | WANTZ BROS | 6346 WANTZ LANE | YORK | PA | [PHONE] | P
[NAME] | WEAVERS BUTCHER SHOP | 1402 CENTENNIAL RD | NEW OXFORD | PA | [PHONE] | P
[NAME] | SAME | 8184 ORCHARD ROAD | THOMASVILLE | PA | [PHONE] | P
[NAME] | SAME | 22 N. GRANTHAM RD | DILLSBURG | PA | [PHONE] | P
 | STERMERS | 6264 BIG MOUNTAIN RD | EAST BERLIN | PA | [PHONE] | P
CLAYTON COBAGH | [NAME] | 426 VALLEY RD | ETTERS | PA |  | P
Spreadsheet: 755393d1636830641-how-to-change-the-view-test
Sheet: Sheet1

RAW Data |  |  |  |  | Result
Date | Area | Number |  |  | Number | Area | Date | Area | Date
2021-05-29 00:00:00 | [NAME] | 8801300043107
2021-05-29 00:00:00 | [NAME] | 8801300043107
2021-08-03 00:00:00 | Barisal | 8801300323099
2021-08-14 00:00:00 | [NAME] | 8801300323099
2021-08-26 00:00:00 | [NAME] | 8801300328894
2021-08-26 00:00:00 | Muradpur | 8801300328894
Spreadsheet: 883903d1732659011-requesting-help-to-create-a-shipping-calculator-for-item-qtys-and-pallets-fit-container-container-loading-maximisation
Sheet: Sheet2

 | Container Loading Maximisation
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Final Pallet | Container
 | Container Type |  | # Pallets | Accept 20ft container? |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Count | Count
 | 40ft containter |  | 20
 | 20ft container |  | 10 | Yes
 |  |  |  |  |  |  |  | Round 1 |  |  |  | Round 2 |  |  |  | Round 3 |  |  |  | Round 4 |  |  |  | Round 5
 | Product | Qty per Pallet | [NAME] | # Pallets | Can Increase Qty? | Can Reduce Qty? | Rounding | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | % Diff | Adj Priority | Adj | Qty After Adj | Total Adj | [NAME] | Adj # Pallets | Adj Qty to Order | Increase /Reduce | % Increase /Reduce | Check
 | Product 1 | 120 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 2 | 96 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 3 | 75 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 4 | 550 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 5 | 550 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 6 | 200 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 7 | 300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Product 8 | 300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  | # Pallets Desired
 |  |  |  |  |  | To Adjust Qty Up/(Down)
 | Requesting help to create a Shipping Calculator for Item QTY's and Pallets fit Container
 | https://www.excelforum.com/excel-general/1430751-requesting-help-to-create-a-shipping-calculator-for-item-qtys-and-pallets-fit-container.html
Spreadsheet: 85277d1285310664-how-to-show-data-based-on-search-criteria-search
Sheet: Sheet1

ID Number | Name | Address | Phone Number | Parent Name
111 | Edrick [NAME] | Jl. [NAME] 38, Sukajadi | 421991 | Edy Pratama (pdmk) | 0
121 | [NAME] | Villa Marina Blok B /3A | [PHONE]/431868/7077668 | [NAME] | 0
136 | [NAME] * | [NAME] | 423071 | [NAME] | 0
6514 | Edrick Purba | Komp. TOP 100 Blok B No. 8 | 450530 | [NAME] | 0
106 | [NAME] (pdmk) | Blok III Urashima | [PHONE]/457260 | Sherine (pdmk) | 1
16156 | Edrick | Nagoya Paradise Center Q / 25 | 425405 / 7027298/[PHONE] | Shelton * | 2
15616 | [NAME] | Komp.[NAME] 30 | 452785 / 455829/[PHONE] | Agnes Ashianti * | 2
321 | Derrick * | [NAME] Indah Blok A / 3 | 433119 | Sherwin * | 3
1658 | [NAME] | Blok III Nagasaki | 7041389/[PHONE] | [NAME] | 3
 | Choose: | Write:
Search by: | Parent Name | She
ID Number | Name | Address | Phone Number | Parent Name
106 | [NAME] (pdmk) | Blok III Urashima | [PHONE]/457260 | Sherine (pdmk)
16156 | Edrick | Nagoya Paradise Center Q / 25 | 425405 / 7027298/[PHONE] | Shelton *
321 | Derrick * | [NAME] Indah Blok A / 3 | 433119 | Sherwin *
 |  |  |  |  |  |  | I want to type a Name, then all the table below (in Yellow) will show those matched, or show those match part of the name (Edrick for example)
Search by Name : |  | Edrick
ID Number | Name | Address | Phone Number | Parent Name
111 | Edrick [NAME] | Jl. [NAME] 38, Sukajadi | 421991 | Edy Pratama (pdmk)
6514 | Edrick Purba | Komp. TOP 100 Blok B No. 8 | 450530 | [NAME]
16156 | Edrick | Nagoya Paradise Center Q / 25 | 425405 / 7027298/[PHONE] | Shelton *
 |  |  |  |  |  |  | I want to type an address, then all the table below (in Yellow) will show those matched, or show those match part of it (Blok III for example)
Search by Address : |  | [NAME]
ID Number | Name | Address | Phone Number | Parent Name
106 | [NAME] (pdmk) | Blok III Urashima | [PHONE]/457260 | Sherine (pdmk)
1658 | [NAME] | Blok III Nagasaki | 7041389/[PHONE] | [NAME]
136 | [NAME] * | [NAME] | 423071 | [NAME]
 |  |  |  |  |  |  | I want to type a phone number, then all the table below (in Yellow) will show those matched, or show those match part of it (7027298 for example)
Search by Phone Number : |  | 7027298
ID Number | Name | Address | Phone Number | Parent Name
16156 | Edrick | Nagoya Paradise Center Q / 25 | 425405 / 7027298/[PHONE] | Shelton *
 |  |  |  |  |  |  | I want to type a Parent Name, then all the table below (in Yellow) will show those matched, or show those match part of the parent name ([NAME] for example)
Search by Parent Name : |  | [NAME]
ID Number | Name | Address | Phone Number | Parent Name
6514 | Edrick Purba | Komp. TOP 100 Blok B No. 8 | 450530 | [NAME]
121 | [NAME] | Villa Marina Blok B /3A | [PHONE]/431868/7077668 | [NAME]
Spreadsheet: 80007d1280251352-multiple-independant-variables-in-cost-estimate-dummybook
Sheet: Sheet1

 | Life Cycle expectancy (yrs): | 7 |  |  |  |  | ****As stated in my thread, I need the deployed units (red), to be the outcome of
 | Start Year: | 2010 |  |  |  |  | my independent variables (yellow).
 | Deployed Units: | 5 | 7 | 9 |  |  | ****Please do not worry about "Acquisition Years" formatting…just "Deployed Units"
 | Acquisition Years: | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13
 | FY: | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023
 | Deployed Units: |  |  | 5 | 7 | 9 |  |  |  |  | 5 | 7 | 9
 | Life Cycle expectancy (yrs): | 4
 | Start Year: | 2008
 | Deployed Units: | 2 | 6
 | Acquisition Years: | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15
 | FY: | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023
 | Deployed Units: | 2 | 6 |  |  | 2 | 6 |  |  | 2 | 6 |  |  | 2 | 6
 | Life Cycle expectancy (yrs): | 9
 | Start Year: | 2010
 | Deployed Units: | 10 | 4 | 9 | 8 | 1
 | Acquisition Years: | 0 | 0 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13
 | FY: | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023
 | Deployed Units: |  |  | 10 | 4 | 9 | 8 | 1 |  |  |  |  | 10 | 4 | 9 | 8 | 1
Spreadsheet: 58091d1258404465-tables-from-lists-707438-tables-from-lists
Sheet: Lists

Team leaders | Area | Complaint handling
[NAME] | Glasgow- Claims | TL cover
[NAME] | Cardiff- Sales and Service | [NAME]
[NAME] | Leeds- Sales and Service | Audits
[NAME] | Bristol- Sales and Service | FOS submissions
[NAME] | [NAME] | MI
[NAME] | Birmingham- Engineering | Mail
[NAME] | Bristol- Claims | Logging work
[NAME] |  | CD burning/ call retrieval
[NAME]
Spreadsheet: 171390d1343715404-how-to-link-4-list-boxes-sheet1
Sheet: Data

Sl No | Inv Date | Product | Party | Weight
1 | 2012-08-02 00:00:00 | AM | India | 6256
2 | 2012-08-11 00:00:00 | BO | Srilanka | 9560
3 | 2012-08-20 00:00:00 | AM | England | 17000
4 | 2012-08-20 00:00:00 | AM | India | 16910
5 | 2012-08-23 00:00:00 | AM | India | 17030
6 | 2012-09-24 00:00:00 | AM | India | 16860
7 | 2012-09-24 00:00:00 | AM | Srilanka | 16865
8 | 2012-09-27 00:00:00 | AM | Srilanka | 17000
9 | 2012-09-29 00:00:00 | AM | Srilanka | 17000
10 | 2012-09-30 00:00:00 | BO | Srilanka | 17000
11 | 2012-11-04 00:00:00 | BO | Srilanka | 17000
12 | 2012-11-30 00:00:00 | BO | India | 17000
13 | 2012-12-31 00:00:00 | AM | England | 17000
14 | 2012-03-03 00:00:00 | BO | England | 17000
15 | 2012-09-03 00:00:00 | BO | England | 17000
16 | 2012-09-05 00:00:00 | BO | India | 17000
17 | 2012-09-05 00:00:00 | BO | India | 17000
18 | 2012-09-05 00:00:00 | AM | India | 17000
19 | 2012-09-06 00:00:00 | AM | Srilanka | 15260
20 | 2012-09-11 00:00:00 | AM | Srilanka | 8790
21 | 2013-09-12 00:00:00 | AM | India | 17000
22 | 2013-09-12 00:00:00 | BO | England | 17000
Spreadsheet: 888653d1739222042-change-format-of-data-diabetes-27-apr-2017-to-23-april-2018
Sheet: Table 2

00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
Sat 6 May Glucose mmol/L
Sun 7 May Glucose mmol/L
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
Mon 8 May Glucose mmol/L
 |  |  |  |  | 4.5
Tue 9 May Glucose mmol/L
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
 |  |  |  |  |  | 6.6
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
Wed 10 May Glucose mmol/L
Thu 11 May Glucose mmol/L
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
00:00 | 02:00 |  | 04:00 |  | 06:00 |  | 08:00 |  | 10:00 |  | 12:00 |  | 14:00 |  | 16:00 |  | 18:00 |  | 20:00 |  | 22:00 |  | 00:00
Fri 12 May Glucose mmol/L
Legend          High Glucose (>13.3)            Low Glucose (<3.9)
Sat 13 May Glucose mmol/L
Spreadsheet: c834c9bb-d724-4759-a47d-8937a2c96437
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
CAUR | Test | CAUR | Calcium, Random, Urine | Calcium, Random, U | Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) | Plastic urine container with no metal cap or glued insert |  |  | 1 | mL | Collection Container/Tube: Clean, plastic urine collection container	 Submission Container/Tube: Plastic, 6-mL tube (Supply T465) or a clean, plastic aliquot container with no metal cap or glued insert [NAME]: 1 mL Collection Instructions:  1. Collect a random urine specimen. 2. See Metals Analysis-Collection and Transport in Special Instructions for complete instructions. | 0.1 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | No established reference values | Monday through Friday; 11 a.m. - 6 p.m. | 1 day | 3 days | 1 | 82340 |  |  |  |  | Rochester
CAUR | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 28 days
CAUR | Result | 60157 | Calcium, Random, U | Calcium, Random, U | Numeric |  |  |  |  | mg/L |  |  |  |  |  |  |  |  |  | 17862-4
Spreadsheet: 49edd8b5-9b5f-4030-979f-e7ea20fb347e
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
42508537 | 2014-07-29 21:21:55 | ALLIES | 0 | 1 | 6 | 251270 | Mastergo - Team du Sud | 8708 | western | 1944-07-25 | 1944-07-25 | Operation Spring | Opération Spring
42508772 | 2014-07-29 21:48:26 | AXIS | 1 | 6 | 2 | 251270 | Mastergo - Team du Sud | 8708 | western | 1944-07-25 | 1944-07-25 | Operation Spring | Opération Spring
Spreadsheet: 731418d1620331837-dynamic-tab-reference-name-change-based-on-cell-value-example-sheet
Sheet: Facility 1 Shutdown

Facility | Date | Day
1 | 2021-01-01 00:00:00
1 | 2021-01-02 00:00:00
1 | 2021-01-10 00:00:00
1 | 2021-01-16 00:00:00
1 | 2021-01-24 00:00:00
1 | 2021-03-14 00:00:00
1 | 2021-03-21 00:00:00
1 | 2021-04-18 00:00:00
1 | 2021-04-25 00:00:00
Spreadsheet: 192955d4-51bd-4564-9f99-a9fa0eeb405b
Sheet: Sheet1

Table 4 -- U.S. monthly average farm prices and marketings by class | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17
 |  |  | Long-grain |  |  |  |  |  |  |  |  | Medium/Short Grain
 |  | 2012/13 |  |  |  | 2011/12 |  |  |  | 2012/13 |  |  |  | 2011/12
Month | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt
August | 13.8 | 1/ |  |  | 12.4 |  | 9343 |  | 16.3 | 1/ |  |  | 19 |  | 2041
September |  |  |  |  | 13.7 |  | 10310 |  |  |  |  |  | 17.8 |  | 2197
October |  |  |  |  | 14.1 |  | 8703 |  |  |  |  |  | 16.5 |  | 3074
November |  |  |  |  | 13.9 |  | 7205 |  |  |  |  |  | 16.9 |  | 4410
December |  |  |  |  | 13.8 |  | 9947 |  |  |  |  |  | 16.6 |  | 5007
January |  |  |  |  | 13.6 |  | 9491 |  |  |  |  |  | 16.7 |  | 5896
February |  |  |  |  | 13.2 |  | 9926 |  |  |  |  |  | 16 |  | 3712
March |  |  |  |  | 13 |  | 10050 |  |  |  |  |  | 16 |  | 4733
April |  |  |  |  | 13.2 |  | 9432 |  |  |  |  |  | 15.8 |  | 3904
May |  |  |  |  | 13.3 |  | 9698 |  |  |  |  |  | 16.3 |  | 3262
June |  |  |  |  | 13.5 |  | 7129 |  |  |  |  |  | 15.4 |  | 3395
July |  |  |  |  | 13.5 |  | 7492 |  |  |  |  |  | 16 |  | 2707
Average to date 2/ | 13.8 |  |  |  |  |  |  |  | 16.3
Season-average farm price | 13 | 3/ |  |  | 13.4 |  |  |  | 17 | 3/ |  |  | 16.5
Average marketings |  |  |  |  |  |  | 9060.5 |  |  |  |  |  |  |  | 3694.833333333333
Total volume marketed |  |  |  |  |  |  | 108726 |  |  |  |  |  |  |  | 44338
N/A = Not available.  1/  Mid-month only.  2/ Simple average. 3/ Forecast.
Source: Monthly cash price and marketings, Agricultural Prices, National Agricultural Statistics Service, USDA.
Last updated September 12, 2012.
Spreadsheet: 807447d1669905397-categorized-modes-of-payment-sales-eba
Sheet: Cash

ACRYLON PAINTS (PTY) LTD
CASH SALES - (Cash)
Details
Date | TAX IONVOICE NUMBER / REFERENCE | Customer Name | Cash Sale Amount | MoP
 | `
Spreadsheet: b3e27433-c6fd-4206-a710-7eb5945c74db
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
ANSE | Test | ANSE | Anise, IgE | Anise, 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
ANSE | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
ANSE | Result | ANSE | Anise, IgE | Anise, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 7081-3 | Pimpinella [NAME].IgE:ACnc:Pt:Ser:Qn:
Spreadsheet: 184872d1349407191-want-to-find-common-keywords-in-a-larger-column-using-another-column-cje1111_865820_04oct12_01
Sheet: Large Keyword List

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Spreadsheet: 143709d1330532855-returning-a-row-of-data-based-on-cell-reference-and-date-fuel-workook_list
Sheet: Data

RowRef | Date | Name | Registration | Start Reading | Finish Reading | Amount Taken | Reading Taken | Milage
 | 2012-02-02 00:00:00 | [NAME] | FJ08 DLY | 405244 | 405307 | 127 | 63 | 306921
 | 2012-02-03 00:00:00 | [NAME] | YJ05 YKE | 405371 | 405703 | 332 | 332 | 652904
 | 2012-02-03 00:00:00 | Kirren | GN56 LVH | 405714 | 406200 | 486 | 486 | 334126
 | 2012-02-03 00:00:00 | [NAME] | FJ08 DLY | 406200 | 406363 | 163 | 163 | 307289
 | 2012-02-07 00:00:00 | [NAME] | FJ08 DLY | 406363 | 406921 | 371 | 558 | 308178
 | 2012-02-09 00:00:00 | [NAME] | YJ05 YKE | 406422 | 407398 | 476 | 976 | 654315
 | 2012-02-10 00:00:00 | [NAME] | FJ08 DLY | 407398 | 407673 | 275 | 275 | 308784
 | 2012-02-13 00:00:00 | Kirren | GN56 LVH | 407949 | 408269 | 420 | 320 | 334894
10 | 2012-02-12 00:00:00 | Lewis | GD59 KMO | 408269 | 408343 | 74 | 74 | 30654
 | 2012-02-12 00:00:00 | [NAME] | FJ08 DLY | 408343 | 408546 | 203 | 203 | 309426
 | 2012-02-13 00:00:00 | [NAME] | YJ05 YKE | 408974 | 409364 | 389 | 390 | 655977 |  | < click last cell and [NAME] to enter new record.
 |  |  |  |  |  |  |  |  |  | < RowRef is hidden in column A
Spreadsheet: 836577d1689506179-sumifs-formula-returns-value-0-excel_forum
Sheet: 2023_2024_icici_parth

S No. | Value Date | Transaction Date | Cheque Number | [NAME] | Category | Withdrawal Amount | Deposit Amount | Balance
1 | 28/04/2023 | 28/04/2023 | - | transfer of salary | Salary | 0.0 | 100 | 100
2 | 26/05/2023 | 26/05/2023 | - | transfer of salary | Salary | 0.0 | 100 | 200
3 | 28/06/2023 | 28/06/2023 | - | transfer of salary | Salary | 0.0 | 100 | 300
Spreadsheet: paul_y'barbo__28503__LPG ProCaribe vs Empire Cost to PDVSA
Sheet: Transport

 |  |  |  |  |  | Transportation Cost of LPG Delivered to Puerto Rico by PDVSA
 |  |  |  |  |  | Empire versus ProCaribe
 |  |  |  |  |  | Voyage
 |  | Cargo Size | Cargo Size |  | Port | Days | Days | Vessel |  | Total | Total | Total | Difference
 | Buyer | (Barrels) | (MT) | # [NAME] | Cost | (Round Trip) | Discharging | Cost |  | Cost | Cost per MT | Cost per Gallon | vs Empire
 | Empire et al. |  |  | 2
 | Empire et al. |  |  | 3
 | Total
 | ProCaribe |  | 8000 | 1 | 18000
 | ProCaribe |  |  | 1 | 18000
 | ProCaribe |  | 12000 | 1 | 18000
 | Vessel Day Rate |  |  | 20000
 | Bunker Fuel per Day |  |  | 8000
 | Discharge - Corco |  | 30000 | Barrels at | 625 | Barrels per Hour
 | [NAME] |  | 24000 | Barrels at | 857 | Barrels per Hour
 | Discharge - Liquilux |  | 20000 | Barrels at | 1000 | Barrels per Hour
 | Discharge - ProCaribe |  |  |  | 180 | MT per Hour
Spreadsheet: 546148d1509895862-having-issue-with-drop-down-that-can-retreive-data-data-validation-punch-in-punch-out
Sheet: Sheet1

Dates | Names
Spreadsheet: 799860d1665371218-next-available-number-in-column-sample
Sheet: Sheet1

Date Raised | Date Delivered to GD | F/Y | CWO
2021-10-18 00:00:00 | 2022-01-18 00:00:00 | Y | 21556
2021-10-18 00:00:00 | 2022-01-18 00:00:00 | Y | 21556
2021-10-18 00:00:00 | 2022-01-18 00:00:00 | Y | 21556
2021-10-18 00:00:00 | 2022-01-18 00:00:00 | Y | 21556
2021-10-18 00:00:00 | 2022-01-18 00:00:00 | Y | 21556
2021-11-03 00:00:00 | 2021-10-29 00:00:00 | F | 21586
2021-11-03 00:00:00 | 2021-10-29 00:00:00 | F | 21586
2021-11-03 00:00:00 | 2022-01-18 00:00:00 | F | 21586
2021-11-03 00:00:00 | 2022-01-18 00:00:00 | F | 21586
2021-11-03 00:00:00 | 2022-01-18 00:00:00 | F | 21586