tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 03017072-95ae-4bab-85fb-b990b667de2c
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 6302.0 Average Weekly Earnings, Australia
 | TABLE 11D. Average Weekly Earnings, South Australia (Dollars) - Trend
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Earnings; [NAME]; Full Time; Adult; Ordinary time earnings ;  South Australia ; |  |  | Trend | [NAME] | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; [NAME]; Full Time; Adult; Total earnings ;  South Australia ; |  |  | Trend | A2814949C | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; [NAME]; Total earnings ;  South Australia ; |  |  | Trend | A2814955X | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; Females; Full Time; Adult; Ordinary time earnings ;  South Australia ; |  |  | Trend | A2814947X | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; Females; Full Time; Adult; Total earnings ;  South Australia ; |  |  | Trend | A2814950L | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; Females; Total earnings ;  South Australia ; |  |  | Trend | A2814956A | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; Persons; Full Time; Adult; Ordinary time earnings ;  South Australia ; |  |  | Trend | A2814948A | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; Persons; Full Time; Adult; Total earnings ;  South Australia ; |  |  | Trend | A2814951R | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
Earnings; Persons; Total earnings ;  South Australia ; |  |  | Trend | A2814957C | 2012-05-15 00:00:00 | 2012-11-15 00:00:00 | 3 | $ | RATIO | Quarter | 2
© Commonwealth of Australia  2013
Spreadsheet: ab91e035-c2f6-423e-b478-b375f3a4add5
Sheet: 32

Uke: | 32 |  |  |  |  | Navn:
 |  | Mandag |  | Tirsdag |  | Onsdag |  | Torsdag |  | Fredag |  | Lørdag |  | Søndag |  | Sum
Kvalitet | Form | Plan | ok | Plan | ok | Plan | ok | Plan | ok | Plan | ok | Plan | ok | Plan | ok | Plan | Trent | Diff. | Feedback
Aerob | Kontinuerlig
 | Intervall
Anaerob | Lokalt
 | Generell
Maks.styrke | Sub.maks.
 | Tungt
 | Eksplosivt
Uth.styrke | Sirkel
 | Tungt
Spenst
Hurtighet
Koordinasjon
Bevegelighet
[NAME]
 | Sum
AKKUMULERT
Kvalitet | Form | Plan |  | Trent
Aerob | Kontinuerlig
 | Intervall
Anaerob | Lokalt
 | Generell
Maks.styrke | Sub.maks.
 | Tungt
 | Eksplosivt
Uth.styrke | Sirkel
 | Tungt
Spenst
Hurtighet
Koordinasjon
Bevegelighet
[NAME]
 | Sum
Spreadsheet: 877916d1724851734-index-and-match-function-not-working-help-aop-per-tech
Sheet: May

Column1 | HOURS | AVG-PER DAY | OBJ RATE | % OF TOTAL HOURS | OBJECTIVE |  |  | Column1 | Column2
ANZOR KHATAEV, | 62.82 |  |  |  |  |  |  | AOP $ | 1147618
BRADLEY OLIVA, | 2.8 |  |  |  |  |  |  | ELR
BRANDON HAASE, | 7.2 |  |  |  |  |  |  | AOP HOURS | 8948
CHASE FRY, | 128.4 |  |  |  |  |  |  | WORKING DAYS | 24
[NAME], | 253.99
[NAME], | 248.2 |  |  |  |  |  |  | TOTAL HOURS | 7679.5
[NAME], | 160.3
[NAME], | 168.3
COELLO VALLEJO, | 168.06
DIEGO MERCADO, | 413.17
DONOVAN OCONNOR, | 203.2
FLORES GUARDADO, | 201.5
[NAME], | 1.4
GIANCARLO PACHECO, | 238.95
GILBERTO GALENOCAMPOS, | 158.1
[NAME], | 174
GUARDADO RODAS, | 230.71
[NAME], | 262.85
[NAME], | 134.66
[NAME], | 119.8
[NAME], | 128.8
MASON SHAWN, | 287.76
[NAME], | 543.15
[NAME], | 129.54
[NAME], | 35.4
[NAME], | 426.83
RYAN GUAGENTI, | 277.71
[NAME], | 209.54
SHANE GILLESPIE, | 258.13
SHAWN GROOVER, | 193.68
SIMON NELSON, | 214.89
SUBLET TECH, | 0.2
[NAME], | 11.3
THOAI LE, | 428.65
TRAVIS GREGORY, | 358.68
TYLER BIXLER, | 179.01
TYLER MUNGER, | 315.05
[NAME], | 261.24
WYLIE ROWE, | 79.03
Spreadsheet: 468436d1467295489-how-to-filter-three-or-more-tables-on-one-field-and-value-jobcard_forum
Sheet: List

Supervisor |  | Actions |  | Mechanic | Cost/h |  | Supplier |  | Machines |  | Special Equipment | cost
JJ [NAME] |  | Service 250 hours |  | S Swanepoel | 200 |  | [NAME] |  | BCMS 204 |  | Compressor | 500
Other |  | Service 500 hours |  | M 2 | 150 |  | Barlowworld |  | BCMS 470 |  | Draaibank | 250
 |  | Service 1000 hours |  | M 3 | 180 |  | S3 |  | BCMS 406 |  | Forklift | 450
 |  | Inspection Prestart |  |  |  |  | [NAME] |  | BCMS 407 |  | Impact hammer | 150
 |  | Inspection Weekly |  |  |  |  |  |  | BCMS 277 |  | None | 0
 |  | [NAME]
 |  | [NAME]
 |  | Repair Performance
Spreadsheet: 834854d1688122625-how-can-i-list-all-the-corresponding-values-based-on-certain-values-that-appeared-in-anoth-list-of-color-names-by-individuals
Sheet: Sheet2

 | Color 1 | Color 2 | Color 3 | Color 4 | Color 5 | Color 6 | Color 7 | ---- Color 50
Abbasi, Imran |  | Navy
[NAME], [NAME]
Adefehinti, Mo
Akanji, [NAME]
[NAME], [NAME] |  | Green | Red
Allert, Adina
Altenbaugh, [NAME]
[NAME], [NAME]
Babalola, [NAME] |  | Red
[NAME], [NAME]
[NAME], [NAME]
[NAME], Michon
[NAME], [NAME]
Brown, Kehau |  | Orange | Yellow
Spreadsheet: 691742d1597851258-countif-number-of-1s-between-2-dates-countif-between-2-dates-1-
Sheet: Sheet1

 | Date Range |  |  |  | "1" is Breach
 | End | 2020-07-31 00:00:00 |  |  | "0" is no breach
 | Start | 2020-07-01 00:00:00
 |  |  |  |  |  | AAA | BBB | CCC | DDD
 |  | Person | Number of breaches (Number of "1s") |  | Dashboard / Liquidity Date | [NAME] | [NAME] | [NAME] | [NAME]
 | AAA | [NAME] |  |  | 2020-07-01 00:00:00 | 0 | 0 | 0 | 0
 | BBB | [NAME] |  |  | 2020-07-02 00:00:00 | 1 | 0 | 0 | 0
 | CCC | [NAME] |  |  | 2020-07-03 00:00:00 | 0 | 1 | 0 | 0
 | DDD | [NAME] |  |  | 2020-07-06 00:00:00 | 0 | 0 | 0 | 1
 |  |  |  |  | 2020-07-07 00:00:00 | 1 | 0 | 0 | 0
 |  |  |  |  | 2020-07-08 00:00:00 | 0 | 1 | 0 | 0
 |  |  |  |  | 2020-07-09 00:00:00 | 0 | 0 | 1 | 0
 |  |  |  |  | 2020-07-10 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-13 00:00:00 | 0 | 0 | 1 | 0
 |  |  |  |  | 2020-07-14 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-15 00:00:00 | 0 | 1 | 0 | 1
 |  |  |  |  | 2020-07-16 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-17 00:00:00 | 0 | 1 | 0 | 0
 |  |  |  |  | 2020-07-20 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-21 00:00:00 | 1 | 0 | 0 | 0
 |  |  |  |  | 2020-07-22 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-23 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-24 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-27 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-28 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-29 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-07-30 00:00:00 | 0 | 0 | 0 | 1
 |  |  |  |  | 2020-07-31 00:00:00 | 1 | 0 | 0 | 0
 |  |  |  |  | 2020-08-03 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-04 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-05 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-06 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-07 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-10 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-11 00:00:00 | 1 | 1 | 0 | 0
 |  |  |  |  | 2020-08-12 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-13 00:00:00 | 1 | 0 | 0 | 0
 |  |  |  |  | 2020-08-14 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-17 00:00:00 | 1 | 0 | 1 | 0
 |  |  |  |  | 2020-08-18 00:00:00 | 0 | 0 | 0 | 0
 |  |  |  |  | 2020-08-19 00:00:00 | 1 | 0 | 0 | 0
Spreadsheet: 18357df8-b6cf-42c0-8b56-eb8a55eb4a2f
Sheet: Blacks

 |  | Registry Incidence and Mortality Rates, Blacks
 |  |  |  |  |  | SEER (11 [NAME]) and US Mortality |  |  | Unadjusted Results |  | Mortality Adjustment Terms |  |  | Adjusted for Mortality
 |  | Black Males | Age-Adjusted Rates (2000 US) |  |  | Age-Adjusted Rates (2000 US) |  |  | Expected | Unadjusted | Registry |  | [NAME] | Expected | Interim
 |  |  |  |  | Inc/Mort |  |  | Inc/Mort | Incidence | Percent |  | Adjust. |  | Incidence | Percent
 |  | Cancer Site | Incidence | Mortality | Ratio | Incidence | Mortality | Ratio | Rate | Complete | [NAME] | Term | [NAME] | Rate | Complete
Male | Black | Oral Cavity and Pharynx
Male | Black | Esophagus
Male | Black | Stomach
Male | Black | Colon and Rectum
Male | Black | Liver
Male | Black | Pancreas
Male | Black | [NAME] and Bronchus
Male | Black | Melanomas of the Skin*
Male | Black | Prostate*
Male | Black | Bladder (including in situ)
Male | Black | Kidney and Renal Pelvis
Male | Black | Brain and Other Nervous System
Male | Black | [NAME]
Male | Black | Non-Hodgkin Lymphoma
Male | Black | Multiple Myeloma
Male | Black | [NAME]
 |  | Sum of Rates for Black Males
 |  |  |  |  |  | SEER (11 [NAME]) and US Mortality |  |  | Unadjusted Results |  | Mortality Adjustment Terms |  |  | Adjusted for Mortality
 |  | Black Females | Age-Adjusted Rates (2000 US) |  |  | Age-Adjusted Rates (2000 US) |  |  | Expected | Unadjusted | Registry |  | [NAME] | Expected | Interim
 |  |  |  |  | Inc/Mort |  |  | Inc/Mort | Incidence | Percent |  | Adjust. |  | Incidence | Percent
 |  | Cancer Site | Incidence | Mortality | Ratio | Incidence | Mortality | Ratio | Rate | Complete | [NAME] | Term | [NAME] | Rate | Complete
Female | Black | Oral Cavity and Pharynx
Female | Black | Esophagus
Female | Black | Stomach
Female | Black | Colon and Rectum
Female | Black | Liver
Female | Black | Pancreas
Female | Black | [NAME] and Bronchus
Female | Black | Melanomas of the Skin*
Female | Black | Breast*
Female | Black | Cervix
Female | Black | Corpus and Uterus, NOS
Female | Black | Ovary
Female | Black | Bladder (including in situ)
Female | Black | Kidney and Renal Pelvis
Female | Black | Brain and Other Nervous System
Female | Black | [NAME]
Female | Black | Non-Hodgkin Lymphoma
Female | Black | Multiple Myeloma
Female | Black | [NAME]
 |  | Sum of Rates for Black Females
 |  | Sum of Blacks, Gender Weighted
 |  | Overall Total + Breast + Prostate
 |  | Notes:
 |  | The cancer rates for Male Prostate (Whites and Blacks) and Melanomas of the Skin (Blacks) are not included in the completeness estimates.
 |  | The cancer rates for [NAME] (Whites and Blacks)  are not included in the completeness estimates.
 |  | To include rates for prostate, melanomas, or breast it is necessary to unprotect the worksheet (go to tools, protection, unprotect worksheet)
 |  | Rates are per 100,000 and age-adjusted to the 2000 US Std Population (19 age groups - Census P25-1130) standard.
 |  | Sites are based on SEER Site Recode with Kaposi and mesothelioma
Spreadsheet: joe_parks__14994__bridgeline 5-28
Sheet: Sheet1

b/s | contract | price | volume | time | cm | account | cti | order # | trader | reference | trade #
B | NGN2 | 3400 | 31 | 06:46:24 | 905 | 97563 | 4C | 483 | amk | EO-483 | 1084 | 0 | N
S | NGN2 | 3380 | 22 | 08:40:44 | 905 | 97563 | 4C | 3112 | amk | [NAME] | 1421 | 0 | N
Spreadsheet: 826150d1681828016-combine-if-with-offset-dynamic-lookup-dummy-data_adativs
Sheet: Data_Apps

Starters
Applications per period
22/23 | P01 | 250 |  |  |  | <<< 1. Input estimated applications per period to generate projected applications per week below
22/23 | P02 | 325
22/23 | P03 | 240
22/23 | P04 | 269
22/23 | P05 | 312
22/23 | P06 | 287
22/23 | P07 | 430
22/23 | P08 | 867
22/23 | P09 | 799
22/23 | P10 | 1003
22/23 | P11 | 1076
22/23 | P12 | 1312
22/23 | P13 | 1500
23/24 | P01 | 250
23/24 | P02 | 325
23/24 | P03 | 240
23/24 | P04 | 269
23/24 | P05 | 312
23/24 | P06 | 287
23/24 | P07 | 430
23/24 | P08 | 867
23/24 | P09 | 799
23/24 | P10 | 1003
23/24 | P11 | 1076
23/24 | P12 | 1312
23/24 | P13 | 1500
Applications per week
P End | Period | Applications | Interviews Booked | Training School Starters | Training School Success |  |  | P1 End | [NAME] | [NAME] | P4 End | P5 End | P6 End | P7 End | P8 End | P9 End | P10 End | P11 End | P12 End | P13 End | Average
P1 End | P1 W1 |  |  |  |  |  | Applications
P1 End | [NAME] |  |  |  |  |  | Interviews
P1 End | P1 W3 |  |  |  |  |  | Training School Starters
P1 End | P1 W4 |  |  |  |  |  | Training School Success
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
P4 End | P4 W1
P4 End | P4 [NAME]
P4 End | P4 W3
P4 End | P4 W4
P5 End | P5 W1
P5 End | P5 [NAME]
P5 End | P5 W3
P5 End | P5 W4
P6 End | P6 W1
P6 End | P6 [NAME]
P6 End | P6 W3
P6 End | P6 W4
P7 End | P7 W1
P7 End | P7 W2
P7 End | P7 W3
P7 End | P7 W4
P8 End | P8 W1
P8 End | [NAME]
P8 End | [NAME]
P8 End | P8 W4
P9 End | P9 W1
P9 End | [NAME]
P9 End | P9 W3
P9 End | P9 W4
P10 End | P10 W1
P10 End | P10 W2
P10 End | P10 W3
P10 End | P10 W4
P11 End | P11 W1
P11 End | P11 W2
P11 End | P11 W3
P11 End | P11 W4
P12 End | P12 W1
P12 End | [NAME]
P12 End | P12 W3
P12 End | P12 W4
P13 End | P13 W1
P13 End | [NAME]
P13 End | P13 W3
P13 End | [NAME]
P1 End | P1 W1
P1 End | [NAME]
P1 End | P1 W3
P1 End | P1 W4
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
P4 End | P4 W1
P4 End | P4 [NAME]
P4 End | P4 W3
P4 End | P4 W4
P5 End | P5 W1
P5 End | P5 [NAME]
P5 End | P5 W3
P5 End | P5 W4
P6 End | P6 W1
P6 End | P6 [NAME]
P6 End | P6 W3
P6 End | P6 W4
P7 End | P7 W1
P7 End | P7 W2
P7 End | P7 W3
P7 End | P7 W4
P8 End | P8 W1
P8 End | [NAME]
P8 End | [NAME]
P8 End | P8 W4
P9 End | P9 W1
P9 End | [NAME]
P9 End | P9 W3
P9 End | P9 W4
P10 End | P10 W1
P10 End | P10 W2
P10 End | P10 W3
P10 End | P10 W4
P11 End | P11 W1
P11 End | P11 W2
P11 End | P11 W3
P11 End | P11 W4
P12 End | P12 W1
P12 End | [NAME]
P12 End | P12 W3
P12 End | P12 W4
P13 End | P13 W1
P13 End | [NAME]
P13 End | P13 W3
P13 End | [NAME]
Spreadsheet: 289b27f3-ee27-41ed-9e56-88012f6c3301
Sheet: $ endowment

Total Endowment and Other Funds Expenditures, by Type and Fund, FY11 and FY12
Endowment and Other Funds Expenditures by Type
Acquisition Type | FY11 | FY12 | % change | % of total FY12 expend.
Monographs
Firm orders | 4263.48 | 16042.57
Standing orders | 114.39 | 211.24
Serials | 39437.93 | 31594.32
TOTALS
Endowment and Other Funds Expenditures by Fund
Endowment fund | Fund code | FY11 | FY12 | % change
Bouclin (serials / any) |  | 0 | 0 | N/A
Serials | xbcp | 0 | 0 | N/A
Black (holocaust books) |  | 0 | 1997.04 | N/A
Firm orders | [NAME] | 0 | 1997.04 | N/A
[NAME] (German) |  |  | 701.71
Firm orders | [NAME] | 0 | 290.45 | N/A
Standing orders | xbws | 82.69 | 211.24
Serials | xbwp | 196.43 | 200.02
[NAME] (agriculture) |  |  | 8612.73
Firm orders | xcaf | 0 | 0 | N/A
Standing orders | [NAME] | 0 | 0 | N/A
Serials | xcap | 8639.66 | 8612.73
Cloudman (math) |  |  | 9345.01
Firm orders | [NAME] | 1386.66 | 1487.76
Standing orders | xcls | 31.7 | 0
Serials | xclp | 10329.4 | 7857.25
Crandall (books for HSS) |  | 0 | 1019.68 | N/A
Firm orders | xcrf | 0 | 1019.68 | N/A
Fritsch (books / any) |  | 0 | 0 | N/A
Firm orders | xfrf | 0 | 0 | N/A
Galanti (nursing) |  |  | 6034.34
Firm orders | xgaf | 803.66 | 2554.64
Standing orders | xgas | 0 | 0 | N/A
Serials | xgap | 3393.01 | 3479.7
Hartford (books / aviation) |  | 0 | 0 | N/A
Firm orders | xhaf | 0 | 0 | N/A
Hoban (books / PSC & HIS) |  | 25.16 | 723.27
Firm orders | xhof | 25.16 | 723.27
Ind. Ins. Agents (business) |  |  | 13976.26
Firm orders | xiif | 0 | 2531.64 | N/A
Standing orders | xiis | 0 | 0 | N/A
Serials | xiip | 16879.43 | 11444.62
Irmgard (rare books) |  |  | 1344.5
Firm orders | xirf | 1278 | 1344.5
[NAME] (books / hum & lit) |  |  |  | N/A
Firm orders | xomf | 0 | 0 | N/A
Platt (books & serials / any) |  | 0 |  | N/A
Firm orders | xplf | 0 | 0 | N/A
Urish (books lit merit) |  | 0 |  | N/A
Firm orders | xurf | 0 | 0 | N/A
[NAME] (rare books) |  |  | 1153.1
Firm orders | xwdf | 770 | 1153.1
[NAME] (women's studies) |  | 0 | 1125.06 | 0
Firm orders | xwsf | 0 | 1125.06 | N/A
Serials | [NAME] | 0 | 0 | N/A
Film Studies Funds |  | N/A | 154.08 | N/A
Firm orders | xflf | N/A | 154.08 | N/A
CCE Administration $$ |  | N/A | 1661.35 | N/A
Firm orders | xccef | N/A | 1661.35
 | TOTALS
Spreadsheet: 854178d1704148242-return-based-on-group-results-book1-conditional-formatting-tms
Sheet: Sheet1

Group ID | File_Status | Filename | Group_Status | Green | Red | Yellow |  | Status
0 | Good | 0001 | Green |  |  |  |  | Good
0 | Good | 0001 | Green |  |  |  |  | Corrupt
0 | Good | 0001 | Green
1 | Good | 0002 | Green
1 | Good | 0002 | Green
1 | Good | 0002 | Green
2 | Good | 0003 | Yellow
2 | Corrupt | 0003 | Yellow
2 | Good | 0003 | Yellow
3 | Good | 0004 | Green
3 | Good | 0004 | Green
3 | Good | 0004 | Green
4 | Corrupt | 0005 | Red
4 | Corrupt | 0005 | Red
4 | Corrupt | 0005 | Red
5 | Good | 0006 | Green
5 | Good | 0006 | Green |  |  |  |  | Green:
5 | Good | 0006 | Green |  |  |  |  | Red:
6 | Corrupt | 0007 | Yellow |  |  |  |  | Yellow:
6 | Corrupt | 0007 | Yellow
6 | Corrupt | 0007 | Yellow
6 | Good | 0007 | Yellow
Spreadsheet: dd9b0369-4282-4b22-b638-48d47997589e
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | SWIM | T2 | RUN.1 | POSITION | TOTAL TIME
259997 | 76172 | [NAME] | Ardell | USA | 10772 | 00:00:00 | 00:00:00 | 00:22:47 | 00:01:51 | 00:23:09 | 1 | 00:47:46
259997 | 27987 | Günter | Hammele | GER | 10770 | 00:00:00 | 00:00:00 | 00:20:41 | 00:02:34 | 00:27:31 | 2 | 00:50:44
259997 | 30564 | [NAME] | Kirillov | RUS | 10771 | 00:00:00 | 00:00:00 | 00:24:58 | 00:02:39 | 00:28:11 | 3 | 00:55:47
259997 | 7671 | [NAME] | [NAME] | GBR | 10769 | 00:00:00 | 00:00:00 | 00:25:17 | 00:02:30 | 00:29:07 | 4 | 00:56:53
259997 | 8091 | [NAME] | [NAME] | USA | 10774 | 00:00:00 | 00:00:00 | 00:19:32 | 00:02:40 | [NAME] | 5 | 00:58:28
259997 | 8005 | Lachlan | Lewis | AUS | 10775 | 00:00:00 | 00:00:00 | [NAME] | 00:07:21 | 00:33:17 | 6 | 01:20:28
Spreadsheet: 39218d1237404934-if-vlookup-payroll
Sheet: Employee Info

 | Employee ID | Name | Position | Category | Tax Status | Federal Allowance (From W-4) | State Tax (Percentage) | Federal Income Tax (Percentage based on Federal Allowance) | Social Security Tax (Percentage) | Medicare Tax (Percentage) | Total Taxes Withheld (Percentage) | Insurance Deduction (Dollars) | Other Regular Deduction (Dollars) | Total Regular Deductions (Excluding taxes, in dollars)
 | 11111 | [NAME] | General | C | 1 | 4 | 0.023 | 0.28 | 0.063 | 0.0145 | 0.3805000000000001 |  |  | 0
 | 22222 | [NAME] | General | B | 1 | 1 | 0.026 | 0.32 | 0.08 | 0.02 | 0.4460000000000001 |  |  | 0
 | 33333 | [NAME] | General | A | 1 | 2 | 0.029 | 0.36 | 0.097 | 0.0255 | 0.5115 |  |  | 0
 | 44444 | [NAME] | Tech | B | 1 | 6 | 0.032 | 0.4 | 0.114 | 0.031 | 0.5770000000000001 |  |  | 0
 | 55555 | [NAME] | Tech | A | 1 | 3 | 0.035 | 0.44 | 0.131 | 0.0365 | 0.6425 |  |  | 0
 | 66666 | [NAME] 6 | Manager | C | 1 | 3 | 0.038 | 0.48 | 0.148 | 0.042 | 0.7080000000000001 |  |  | 0
 | 77777 | [NAME] |  |  | 1 | 4 | 0.023 | 0.28 | 0.063 | 0.0145 | 0.3805000000000001 |  |  | 0
 | 88888 | [NAME] |  |  | 1 | 1 | 0.026 | 0.32 | 0.08 | 0.02 | 0.4460000000000001 |  |  | 0
 | 99999 | [NAME] |  |  | 1 | 2 | 0.029 | 0.36 | 0.097 | 0.0255 | 0.5115 |  |  | 0
 | 10101 | [NAME] 9 |  |  | 1 | 6 | 0.032 | 0.4 | 0.114 | 0.031 | 0.5770000000000001 |  |  | 0
 | 11011 | [NAME] 10 |  |  | 1 | 3 | 0.035 | 0.44 | 0.131 | 0.0365 | 0.6425 |  |  | 0
 | 12121 | [NAME] |  |  | 1 | 3 | 0.038 | 0.48 | 0.148 | 0.042 | 0.7080000000000001 |  |  | 0
 | 13131 | [NAME] |  |  | 1 | 4 | 0.023 | 0.28 | 0.063 | 0.0145 | 0.3805000000000001 |  |  | 0
 | 14141 | [NAME] |  |  | 1 | 1 | 0.026 | 0.32 | 0.08 | 0.02 | 0.4460000000000001 |  |  | 0
 | 15151 | [NAME] 13 |  |  | 1 | 2 | 0.029 | 0.36 | 0.097 | 0.0255 | 0.5115 |  |  | 0
 | 16161 | [NAME] 14 |  |  | 1 | 6 | 0.032 | 0.4 | 0.114 | 0.031 | 0.5770000000000001 |  |  | 0
 | 17171 | [NAME] 15 |  |  | 1 | 3 | 0.035 | 0.44 | 0.131 | 0.0365 | 0.6425 |  |  | 0
 | 18181 | [NAME] 16 |  |  | 1 | 3 | 0.038 | 0.48 | 0.148 | 0.042 | 0.7080000000000001 |  |  | 0
 | 19191 | [NAME] 23 |  |  | 1 | 4 | 0.023 | 0.28 | 0.063 | 0.0145 | 0.3805000000000001 |  |  | 0
 | 20202 | [NAME] 17 |  |  | 1 | 1 | 0.026 | 0.32 | 0.08 | 0.02 | 0.4460000000000001 |  |  | 0
 | 21212 | [NAME] 18 |  |  | 1 | 2 | 0.029 | 0.36 | 0.097 | 0.0255 | 0.5115 |  |  | 0
 | 22022 | [NAME] 19 |  |  | 1 | 6 | 0.032 | 0.4 | 0.114 | 0.031 | 0.5770000000000001 |  |  | 0
 | 23232 | [NAME] 20 |  |  | 1 | 3 | 0.035 | 0.44 | 0.131 | 0.0365 | 0.6425 |  |  | 0
 | 24242 | [NAME] 21 |  |  | 1 | 3 | 0.038 | 0.48 | 0.148 | 0.042 | 0.7080000000000001 |  |  | 0
 | 25252 | [NAME] 24 |  |  | 1 | 4 | 0.023 | 0.28 | 0.063 | 0.0145 | 0.3805000000000001 |  |  | 0
Spreadsheet: 5d541959-89e8-4836-a698-85dae4ae1905
Sheet: quick cross ref

MEM® series - Wiring Accessories Product Changes
Quick Cross Reference Lookup
1. Just punch in any part number to see if it has changed
Punch in the old or new reference no. below | Description | Status | The alternative or correct reference no. is: | New (or replacement) Description | Product Sector
Spreadsheet: 69220d1269735611-all-worksheets-grand-total-of-a-cell-on-a-new-sheet-book-1
Sheet: PR01

 | PR01
 | Material | Description | Book Bal.
PR011100010 | 1100010 | SHEET CRCA - 0.80X245X760 | 2122.67
PR011101052 | 1101052 | GA STL SHT (BUFFED) 0.8X660X470MM | 2332.228
PR011101094 | 1101094 | GA 2SIDE COATED(BUFFED) STL.SHT 0.8*700* | 2846.356
PR011101242 | 1101242 | ZN-NI 1 SIDE COATED ST.SHT 0.8*750*2160 | 9847.86
PR0117510-198-D00A | 17510-198-D00A | HALF R OUTER ( FUEL TANK) | 225
PR0117510-198-D00B | 17510-198-D00B | HALF L OUTER ( FUEL TANK) | 225
PR0117510-198-D00C | 17510-198-D00C | PLATE BOTTOM (FUEL TANK) JOY | 257
PR0117510-KST-940A | 17510-KST-940A | BODY R F/TANK CDN3 | 4953
PR0117510KST940A010 | 17510KST940A010 | BLANK BODY ( R ) FUEL TANK - CDN3 | 8795
PR0117510-KST-940B | 17510-KST-940B | [NAME] CDN3 | 3443
[NAME] | 17510KST940B010 | BLANK BODY ( L) FUEL TANK - CDN3 | 799
PR0117510-KST-940C | 17510-KST-940C | PLATE BOTTOM F/TANK CDN3 STD | 1513
[NAME] | 17510-KST-950C | PLATE BOTTOM F/TANK CDN3 DLX | 15200
PR011751A-198-7710 | 1751A-198-7710 | FUEL TANK BODY (R.H) CD/SS New | 324
PR011751B-198-7710 | 1751B-198-7710 | FUEL TANK BODY (L.H) CD/SS New | 314
PR011751C-198-9000 | 1751C-198-9000 | BOTTOM FUEL TANK CD/SS | 217
PR011751C-KCC-9000 | 1751C-KCC-9000 | BOTTOM FUEL TANK KCC | 8837
PR016110A-198-7200 | 6110A-198-7200 | PANEL FRONT FENDER CD | 537
 |  | Grand Total
Spreadsheet: 48389d1247607979-vlookup-vlookup-playing-up
Sheet: Sheet1

Emp No | Management Tier
0256 | 3
0518 | 3
0520 | 3
0541 | 3
10673 | 3
11129 | 3
11472 | 2
11490 | 3
11710 | 3
12040 | 2
12075 | 3
12179 | 3
12263 | 3
12295 | 2
12457 | 3
12639 | 3
13026 | 3
13136 | 3
13172 | 3
13325 | 3
13430 | 3
13523 | 3
13552 | 3
13636 | 3
13650 | 3
13673 | 3
13676 | 3
13811 | 3
13881 | 3
13982 | 3
14289 | 3
14293 | 3
14347 | 3
14348 | 3
14374 | 2
14382 | 3
14582 | 3
14660 | 3
14688 | 3
14738 | 3
14776 | 3
14827 | 3
14876 | 3
14927 | 3
14955 | 2
15041 | 3
15181 | 2
15193 | 3
15194 | 3
15375 | 3
15523 | 3
15558 | 2
15623 | 2
15648 | 3
15677 | 2
15696 | 3
15768 | 3
15815 | 3
15838 | 3
15915 | 3
15920 | 3
15940 | 3
15941 | 3
15994 | 3
16024 | 3
16060 | 3
16070 | 3
16106 | 3
16125 | 3
16130 | 3
16159 | 3
16172 | 3
16175 | 3
16205 | 3
60111 | 3
R1019 | 3
R1133 | 3
R1136 | 3
R1230 | 3
S1010 | 3
Spreadsheet: 599156d1542880736-payment-terms-formula-payment-terms
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | January | February | March | April | May | June
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] in months | 1 | Incr. (bill received) | 10 | 10 | 10 | 10 | 10 | 10
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Decr. (bill paid)
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] in months | 2 | Incr. (bill received) | 10 | 10 | 10 | 10 | 10 | 10
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Decr. (bill paid)