tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 255d1d53-7ccd-4a35-bf07-699b18e73cc7
Sheet: 2

 | February 7 | February 14 | February 21 | February 28 | March 7
Total Interest Rate* | 666742621 | 665628599 | 684168569 | 688557647.21 | 697784147.6999999
SDs and MSPs** | 551347770 | 543347268 | 562976280 | 565392828.11 | 572243837.4
Other | 115394851 | 122281332 | 121192289 | 123164819.1 | 125540310.3
Total Cross-Currency | 31347224 | 31026748 | 32539847 | 32530129.8315 | 32712345
SDs and MSPs | 27923334 | 27499481 | 29023602 | 29017778.617 | 29165882
Other | 3423890 | 3527266 | 3516245 | 3512351.2145 | 3546463
Total Credit | 16454609 | 14877835 | 15832170 | 17042259.9503 | 17351102
SDs and MSPs | 12853804 | 11614717 | 12288683 | 13245567.226 | 13425965
Other | 3600805 | 3263118 | 3543487 | 3796692.7243 | 3925137
Total FX**** | 62900000 | 62900000 | 62900000 | 62900000 | 62900000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Equity**** | 8840000 | 8840000 | 8840000 | 8840000 | 8840000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Other Commodity**** | 3400000 | 3400000 | 3400000 | 3400000 | 3400000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
TOTAL | 789684454 | 786673182 | 807680586 | 813270036.9918001 | 822987594.6999999
Weekly snapshot, gross notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, and participant types, cleared and uncleared. For cleared swaps, the notional value for each of the two resulting swaps is attributed only to the counterparty facing the clearing organization (i.e., the clearing organization’s participation is not displayed). For uncleared swaps, the notional value of the swap is attributed to both swap counterparties. Because this table shows the aggregated notional values of swaps by participant, the totals on this table are twice those displayed on the "Gross Notional Outstanding by Cleared Status" table.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
****These numbers are estimates.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: a0c53644-1285-476a-9779-1490dfebc228
Sheet: Sheet1

Reimbursement Form | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Please Submit to: |  | AOBOS
 |  | 800 Military Street
 |  | Suite 307
 |  | Port Huron, MI  48060
 |  | Phone: | (877) 982-6267
 |  | Fax: | (810) 984-2530
Name |  |  |  |  |  |  |  | AOA#
Address
City |  |  | State |  | Zip |  |  | Phone
Expenses incurred for:
Clinical Examinations (Candidate Name & Date)
Test Committee Meeting
Test Committee Workshop
Standard Setting Committee
Hand CAQ Meeting
Hand CAQ Workshop
Recertification Committee Meeting
Recertification Committee Workshop
Other (Explain)
Expenses:
Lodging |  |  |  |  |  | Postage/Shipping
Meals |  |  |  |  |  | Supplies
Airfare |  |  |  |  |  | Copying
Transportation |  |  |  |  |  | Other
Rental Car |  |  |  |  |  |  | (Explain)
Personal Car - (enter miles)
(calculated using IRS guidelines - 55.5 cents/mile for 2011-2012) |  |  |  |  |  | Total Expenses
Signature |  |  |  |  |  |  |  | Date
12/11
Spreadsheet: 142336d1329776871-inputting-data-from-a-formula-recruitment-progress
Sheet: Dummy

[NAME]
 | Date | Time | Comments
CV/Cover letter received | 1900-01-01 00:00:00
Proposed interview date | 1900-01-02 00:00:00
Room requested
Additional Interviewer contacted
Interviewee contacted
Interview date set | 1900-01-03 00:00:00
[NAME] created | 1900-01-04 00:00:00
Rejection email sent | 1900-01-05 00:00:00
Added to database | 1900-01-06 00:00:00
Trial date proposed | 1900-01-07 00:00:00
Applicant available
Student available
Trial date set | 1900-01-08 00:00:00
Applicant set lesson details
Observation teacher set
Observation report received
Rejection email sent
Applicant updated to 'active'
Applicant contacted
References requested
References received
Contract Required
Contract date set
Caontract signed
 | Date Completed |  | Comments
 |  |  | When will course end?
 |  |  | Has the course end been updated on the database?
 |  |  | Final feedback?
Spreadsheet: 722629d1615337598-gap-report-in-workbook-03-product-recall-reconciliation-table
Sheet: FS CLIENT DISTRIBUTION TABLE

COMPANY NAME | COMPANY CONTACT PERSON | ORIGINAL FOOD SOURCE INVOICE | CLIENT CREDIT NOTE | SUPPLIER CREDIT RECEIVED | VOLUME BY STATE
COMPANY NAME | 0 | 0 | 0 | 0 | 0
x  Raw Ingredient |  |  |  |  | 0
x  Manufactured but not Distributed |  |  |  |  | 0
x  Manufactured and in Transit to [NAME] |  |  |  |  | 0
x  Manufactured and in Retailer DC |  |  |  |  | 0
x  Manufactured and On [NAME] ([NAME]) |  |  |  |  | 0
TOTAL CLIENT X
COMPANY NAME | 0 | 0 | 0 | 0 | 0
x  Raw Ingredient |  |  |  |  | 0
x  Manufactured but not Distributed |  |  |  |  | 0
x  Manufactured and in Transit to [NAME] |  |  |  |  | 0
x  Manufactured and in Retailer DC |  |  |  |  | 0
x  Manufactured and On [NAME] ([NAME]) |  |  |  |  | 0
TOTAL CLIENT Y
COMPANY NAME | 0 | 0 | 0 | 0 | 0
x  Raw Ingredient |  |  |  |  | 0
x  Manufactured but not Distributed |  |  |  |  | 0
x  Manufactured and in Transit to [NAME] |  |  |  |  | 0
x  Manufactured and in Retailer DC |  |  |  |  | 0
x  Manufactured and On [NAME] ([NAME]) |  |  |  |  | 0
TOTAL CLIENT Z
Spreadsheet: a0cb2062-e125-4ea4-8211-cca5884edcd3
Sheet: Sheet1

OPERATING/PROGRAMMATIC | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Legislative Fiscal Note |  |  |  |  |  |  | Ordinance Number
Ordinance Title (in Brief)
Does this Legislation Estimate New or Additional Revenues to the City? |  |  |  |  |  |  |  | No |  | X | Yes
 |  |  |  |  | Governmental Grants Fund
 | Revenue Detail |  |  |  | FY 2006-07 |  |  | FY 2007-08
 | General Fund
 | Special Revenue |  |  |  | 86305 |  |  | 21844
 | Enterprise
 |  |  | Total: | $ | 86305 |  | $ | 21844
 | (Please detail type of revenue (fees, grants, tax) and change that will occur as a result of this legislation.  Provide multi-year
 | estimates if known, or if grant revenue please identify source of funds (federal or state) and duration of grant support)
Does this Legislation increase appropriations in the current budget? |  |  |  |  |  |  |  | No |  | X | Yes
 | If Yes, please complete the following budget information:
 | Expense Detail |  |  |  | FY 2006-07 |  |  | FY 2007-08
 | General Fund
 | Special Revenue |  |  |  | 86305 |  |  | 21844
 | Enterprise/Other
 |  |  | Total: | $ | 86305 |  | $ | 21844
The Missouri Department of Health and Senior Services has increased this contract by $27,173.00.
Does this Legislation expand the scope of current city services? |  |  |  |  |  |  |  | No |  | X | Yes
 | (Please detail estimate number of people to be served, who is delivering services currently to that population, service
 | performance expectations, and if grant supported, provisions for support if grant support ends.
This contract will initiate Pandemic Influenza preparedness efforts for the City of Kansas City, coordinating with other jursidictions to present a unified message.
Is this legislation the result of a federal or state legislative mandate? |  |  |  |  |  |  | X | No |  |  | Yes
 | (If yes, please detail the purpose and source for that mandate).
Reviewed by:
 | 0ffice of Management and Budget |  |  | OMB Approval Date
Spreadsheet: 792332d1660841001-need-to-calculate-city-with-most-skyscrapers-and-how-many-skyscrapers
Sheet: Sheet1

[NAME] | City | Country
Burj Khalifa | Dubai | [NAME] Uniti
[NAME] Shanghai | Shanghai | Cina |  |  |  |  | Which city has the most skyscrapers and how many are there
[NAME] | [NAME] | Arabia Saudita
Ping An Finance Centre | Shenzhen | Cina |  |  |  |  | City | Count of City
Lotte World Tower | Seoul | Corea del Sud |  |  |  |  | Dubai | 9
One World Trade Center | New York | Stati Uniti |  |  |  |  | Canton | 4
Guangzhou CTF Finance Centre | Canton | Cina |  |  |  |  | Hong Kong | 4
Taipei 101 | Taipei | Taiwan |  |  |  |  | New York | 4
Shanghai World Financial Center | Shanghai | Cina |  |  |  |  | Shanghai | 3
International Commerce Centre | Hong Kong | Hong Kong |  |  |  |  | Shenzhen | 3
[NAME] | Kuala Lumpur | Malaysia |  |  |  |  | Chicago | 2
Nanjing Greenland Financial Center | Nanchino | Cina |  |  |  |  | Kuala Lumpur | 2
Willis Tower | Chicago | Stati Uniti |  |  |  |  | Mosca | 2
[NAME] | Shenzhen | Cina |  |  |  |  | Abu Dhabi | 1
Guangzhou International Finance Center | Canton | Cina |  |  |  |  | Dalian | 1
432 Park Avenue | New York | Stati Uniti |  |  |  |  | [NAME] | 1
Trump International Hotel and Tower | Chicago | Stati Uniti |  |  |  |  | [NAME] | 1
[NAME] | Shanghai | Cina |  |  |  |  | Nanchino | 1
International Finance Centre | Hong Kong | Hong Kong |  |  |  |  | Seoul | 1
Princess Tower | Dubai | [NAME] Uniti |  |  |  |  | [NAME] | 1
[NAME] | [NAME] | Kuwait |  |  |  |  | Taipei | 1
23 Marina | Dubai | [NAME] Uniti
CITIC Plaza | Canton | Cina
[NAME] | Dalian | Cina
[NAME] | Shenzhen | Cina
[NAME] | Abu Dhabi | [NAME] Uniti
Empire State Building | New York | Stati Uniti
Elite Residence | Dubai | [NAME] Uniti
Central Plaza | Hong Kong | Hong Kong
Federation Tower | Mosca | Russia
The Address the BLVD | Dubai | [NAME] Uniti
Bank of China Tower | Hong Kong | Cina
Bank of America Tower | New York | Stati Uniti
Almas Tower | Dubai | [NAME] Uniti
The Pinnacle | Canton | Cina
JW [NAME] Dubai Tower 1 | Dubai | [NAME] Uniti
Emirates Office Tower | Dubai | [NAME] Uniti
OKO Tower | Mosca | Russia
Forum 66 Tower 2 | [NAME] | Cina
JW [NAME] Dubai Tower 2 | Dubai | [NAME] Uniti
[NAME] | Kuala Lumpur | Malaysia
Spreadsheet: 674219d1587723701-convert-formula-to-number-format-convert-formula-to-number-format
Sheet: Start

 | Value
 | 7
 | 4
 | 1
 | 1
 | 1
 | 1
 | 4
 | 3
 | 2
 | 4
 | 1
 | 1
 | 1
Spreadsheet: e6d5d4fe-ac08-4348-a1a4-a97a853c03d6
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 | Unnamed: 12
 |  | U.S. Census Bureau
 |  | Source: Monthly Wholesale Trade: Sales and Inventories
 |  | 42: Total [NAME], Except Manufacturers' Sales Branches and Offices: U.S. Total
 |  | Seasonally Adjusted Sales - Monthly [Millions of Dollars]
 |  | Period: 1992 to 2013
 |  | Data Extracted on: March 11, 2014 (7:42 pm)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
1992 | 142980 | 144206 | 145306 | 145381 | 144000 | 145989 | 148808 | 147427 | 149251 | 149276 | 149801 | 148469
1993 | 153497 | 152528 | 149841 | 153239 | 156085 | 152751 | 154732 | 154879 | 155380 | 155866 | 156094 | 152929
1994 | 156983 | 157654 | 160546 | 160114 | 161206 | 162652 | 164247 | 168414 | 168187 | 171258 | 171528 | 174127
1995 | 175771 | 177369 | 175256 | 178210 | 178565 | 180181 | 180081 | 181324 | 182123 | 182966 | 184854 | 186968
1996 | 184352 | 185286 | 187580 | 187462 | 188032 | 189016 | 190819 | 191939 | 191679 | 193329 | 194369 | 192137
1997 | 194379 | 199102 | 197622 | 196608 | 197677 | 197465 | 197978 | 197328 | 200474 | 199698 | 199693 | 199039
1998 | 201068 | 200976 | 202223 | 202434 | 202077 | 200992 | 202201 | 200940 | 202070 | 203185 | 203149 | 204997
1999 | 204181 | 206856 | 209359 | 210145 | 214770 | 216526 | 217499 | 218978 | 220899 | 223817 | 226182 | 227783
2000 | 229981 | 228836 | 231770 | 233194 | 233522 | 236320 | 235530 | 235262 | 237462 | 238481 | 237269 | 239633
2001 | 239105 | 237667 | 233729 | 233385 | 234208 | 229971 | 231315 | 232185 | 231714 | 227666 | 227707 | 227165
2002 | 228701 | 230362 | 229907 | 234201 | 235268 | 236963 | 237915 | 240254 | 240018 | 239034 | 242421 | 239492
2003 | 244231 | 244668 | 247026 | 242509 | 241342 | 245208 | 247730 | 247580 | 249137 | 253320 | 255007 | 257524
2004 | 257933 | 264030 | 272232 | 272470 | 274033 | 274340 | 275696 | 279126 | 279754 | 283407 | 286744 | 290646
2005 | 292644 | 294156 | 292935 | 297777 | 296190 | 297441 | 300892 | 305683 | 311409 | 316756 | 312100 | 316580
2006 | 318375 | 320454 | 320953 | 323062 | 327295 | 329714 | 331249 | 334783 | 329820 | 328698 | 330156 | 337437
2007 | 332204 | 337461 | 340908 | 345927 | 348969 | 349918 | 347483 | 351521 | 355137 | 359546 | 366555 | 363954
2008 | 371829 | 370423 | 373774 | 381374 | 387685 | 397213 | 393965 | 386774 | 376380 | 358899 | 327837 | 315840
2009 | 305193 | 308998 | 297716 | 299157 | 302384 | 306104 | 309717 | 312582 | 314281 | 317249 | 325325 | 327428
2010 | 329337 | 334260 | 338983 | 344243 | 343534 | 344126 | 347679 | 350288 | 351457 | 360432 | 365069 | 367587
2011 | 380752 | 377678 | 388292 | 391280 | 388788 | 392904 | 394865 | 398688 | 396381 | 400094 | 397048 | 402860
2012 | 402937 | 406916 | 408993 | 413567 | 408031 | 403238 | 403285 | 405744 | 414234 | 408958 | 417169 | 418133
2013 | 416266 | 420711 | 414668 | 417765 | 424181 | 425746 | 425902 | 427782 | 431033 | 435846 | 440393 | 440961
Spreadsheet: 718437d1613140661-counting-unique-dates-with-criteria-countuniquedates
Sheet: Blad1

Date | Category
2021-02-01 00:00:00 | Vegetable
2021-02-03 00:00:00 | Fruit |  | True | True | True | 1 | 1
2021-02-03 00:00:00 | Fruit |  | True | True | True | 1 | 1
2021-02-03 00:00:00 | Vegetable |  | False | True | True | 0 | 0
2021-02-05 00:00:00 | Fruit |  | True | True | True | 1 | 1
2021-02-05 00:00:00 | Fruit |  | True | True | True | 1 | 1
2021-02-06 00:00:00 | Fruit |  | True | True | True | 1 | 1
2021-02-09 00:00:00 | Vegetable |  | False | True | False | 0 | 0
2021-03-10 00:00:00 | Fruit |  | True | True | False | 1 | 0
 |  | Start counting from | 2021-01-01 00:00:00 |  | >=
 |  | until | 2021-02-07 00:00:00 |  | <=
 |  | Category | Fruit
 |  | Count unique dates with above criteria
Spreadsheet: kevin_hyatt__19613__SunDevil01CostSummary
Sheet: EPSunDevil

El Paso Sun Devil Competitor Analysis
 |  |  |  | Low End Cost | High End Cost | Comments
Case 1 | San Juan Junction to Phoenix (new pipe) | [NAME] | 440 |  |  | This option assumes El Paso is currently full and to get gas from San Juan they would have to build out like we are.
 |  | Added Compression | 25000
 |  | Total Cost:
Case 2 | Waha, Texas to Phoenix (Line 2000 orig. empty) | [NAME] | 570 | 0 | 0 | This case is more to serve as a benchmark since Line 2000 is already slated to handle some capacity in a looping capacity, of El Paso's southern, low pressure line.  No p/l cost since purchase price is sunk.
 |  | Added Compression | 32000
 |  | Total Cost:
Case 3 | Waha, Texas to Phoenix (Line 2000, 450 added to existing est. 320 mm/d) | [NAME] | 570 | 0 | 0 | This case assumes that El Paso's Line 2000 is already in partial use and that the incremental 450 mm/d would have to come on top of the existing flows (estimated at 320 mm/d).  Takes the line to 770 mm/d.  This is also at the [NAME] capabilities of this line without looping.
 |  | Added Compression | 220000
 |  | Total Cost:
Spreadsheet: 106064d1303305161-matching-a-data-from-two-tables-within-a-worksheet-mappe1
Sheet: Tabelle1

INDEX | YEAR | MONTH | DAY
ABC | 2010 | 1 | 2
ABC | 2010 | 1 | 3
ABC | 2010 | 1 | 4
ABC | 2010 | 1 | 5
ABC | 2010 | 1 | 6
ABC | 2010 | 1 | 9
ABC | 2010 | 1 | 10
ABC | 2010 | 1 | 11
ABC | 2010 | 1 | 12
ABC | 2010 | 1 | 13
ABC | 2010 | 1 | 16
ABC | 2010 | 1 | 20
ABC | 2010 | 1 | 23
ABC | 2010 | 1 | 24
ABC | 2010 | 1 | 25
ABC | 2010 | 1 | 26
ABC | 2010 | 1 | 27
ABC | 2010 | 1 | 30
ABC | 2010 | 1 | 31
DEF | 2010 | 1 | 2
DEF | 2010 | 1 | 3
DEF | 2010 | 1 | 4
DEF | 2010 | 1 | 5
DEF | 2010 | 1 | 6
DEF | 2010 | 1 | 9
DEF | 2010 | 1 | 10
DEF | 2010 | 1 | 11
DEF | 2010 | 1 | 12
DEF | 2010 | 1 | 13
DEF | 2010 | 1 | 16
DEF | 2010 | 1 | 20
DEF | 2010 | 1 | 23
DEF | 2010 | 1 | 24
DEF | 2010 | 1 | 25
DEF | 2010 | 1 | 26
DEF | 2010 | 1 | 27
DEF | 2010 | 1 | 30
DEF | 2010 | 1 | 31
GHI | 2010 | 1 | 2
GHI | 2010 | 1 | 3
GHI | 2010 | 1 | 4
GHI | 2010 | 1 | 5
GHI | 2010 | 1 | 6
GHI | 2010 | 1 | 9
GHI | 2010 | 1 | 10
GHI | 2010 | 1 | 11
GHI | 2010 | 1 | 12
GHI | 2010 | 1 | 13
GHI | 2010 | 1 | 16
GHI | 2010 | 1 | 20
GHI | 2010 | 1 | 23
GHI | 2010 | 1 | 24
GHI | 2010 | 1 | 25
GHI | 2010 | 1 | 26
GHI | 2010 | 1 | 27
GHI | 2010 | 1 | 30
GHI | 2010 | 1 | 31
JKL | 2010 | 1 | 2
JKL | 2010 | 1 | 3
JKL | 2010 | 1 | 4
JKL | 2010 | 1 | 5
JKL | 2010 | 1 | 6
JKL | 2010 | 1 | 9
JKL | 2010 | 1 | 10
JKL | 2010 | 1 | 11
JKL | 2010 | 1 | 12
JKL | 2010 | 1 | 13
JKL | 2010 | 1 | 16
JKL | 2010 | 1 | 20
JKL | 2010 | 1 | 23
JKL | 2010 | 1 | 24
JKL | 2010 | 1 | 25
JKL | 2010 | 1 | 26
JKL | 2010 | 1 | 27
JKL | 2010 | 1 | 30
JKL | 2010 | 1 | 31
MNO | 2010 | 1 | 2
MNO | 2010 | 1 | 3
MNO | 2010 | 1 | 4
MNO | 2010 | 1 | 5
MNO | 2010 | 1 | 6
MNO | 2010 | 1 | 9
MNO | 2010 | 1 | 10
MNO | 2010 | 1 | 11
MNO | 2010 | 1 | 12
MNO | 2010 | 1 | 13
MNO | 2010 | 1 | 16
MNO | 2010 | 1 | 20
MNO | 2010 | 1 | 23
MNO | 2010 | 1 | 24
MNO | 2010 | 1 | 25
MNO | 2010 | 1 | 26
MNO | 2010 | 1 | 27
MNO | 2010 | 1 | 30
MNO | 2010 | 1 | 31
Spreadsheet: 152284d1335326974-index-match-issue-jw01_sample_index_issue_24apr12_01
Sheet: Data

 |  |  | Table 1 |  |  | Table 2
 |  | Travel zone | X1 | X2 | X3 | X4 | X5 | X6
 | Atlanta-Charleston | Dense | 51 | 9 | 9 | 165 | 6.6 | 8.6
 | Atlanta-Charleston | Urban | 54 | 10 | 10 | 165 | 6.6 | 8.6
 | Atlanta-Charleston | Semi-Urban | 64 | 11 | 11 | 165 | 6.85 | 8.85
 | Atlanta-Charleston | Suburban | 74 | 12 | 12 | 185 | 7 | 9
 | Atlanta-Charleston | Remote | 84 | 15 | 15 | 200 | 7.5 | 9.5
 | Atlanta-Charleston | Proactive sell only | Unvended premium @ 15% to zone rate |  |  | Minimum OTS price includes up to 20 cartons - all zones
 | Chicago-Milwaukee | Dense | 50 | 8 | 7 | 130 | 6 | 9
 | Chicago-Milwaukee | Urban | 52 | 9 | 8 | 130 | 6 | 9
 | Chicago-Milwaukee | Semi-Urban | 55 | 10 | 9 | 150 | 7 | 10
 | Chicago-Milwaukee | Suburban | 65 | 11 | 10 | 160 | 7.5 | 10.5
 | Chicago-Milwaukee | Remote | 75 | 12 | 11 | 180 | 9 | 12
 | Chicago-Milwaukee | Proactive sell only
 | Sacramento-Fresno | Dense | 48.57 | 8.77 | 6.56 | 150 | 5.05 | 7.89
 | Sacramento-Fresno | Urban | 51.03 | 9.04 | 6.75 | 150 | 5.05 | 7.89
 | Sacramento-Fresno | Semi-Urban | 61.99 | 11.25 | 8.91 | 175 | 7.03 | 8.43
 | Sacramento-Fresno | Suburban | 75.15 | 12.09 | 10.46 | 235 | 8.11 | 10.56
 | Sacramento-Fresno | Remote | 115.08 | 13.09 | 11.49 | 260 | 9.05 | 12.15
 | Sacramento-Fresno | Proactive sell only
Spreadsheet: 676923d1589060693-conditional-function-not-producing-results-20200508_forum
Sheet: Graph

Behaviors | BL |  | 2020-02-08 00:00:00 | 2020-02-15 00:00:00 | 2020-02-22 00:00:00 | 2020-02-29 00:00:00 | 2020-03-07 00:00:00 | 2020-03-14 00:00:00 | 2020-03-21 00:00:00 | 2020-03-28 00:00:00 | 2020-04-04 00:00:00 | 2020-04-11 00:00:00 | 2020-04-18 00:00:00 | 2020-04-25 00:00:00 | 2020-05-02 00:00:00 | 2020-05-09 00:00:00 | 2020-05-16 00:00:00 | 2020-05-23 00:00:00 | 2020-05-30 00:00:00 | 2020-06-06 00:00:00 | 2020-06-13 00:00:00 | 2020-06-20 00:00:00 | 2020-06-27 00:00:00 | 2020-07-04 00:00:00 | 2020-07-11 00:00:00 | 2020-07-18 00:00:00 | 2020-07-25 00:00:00 | Last 4-Week Average
S&B
Spreadsheet: 864589d1711700861-indexing-correct-match-using-large-formula-with-criteria-book1-282-aligw
Sheet: Paste-ZR63G

Material | MvT | Order | Quantity | UOM | Amount in LC
898-188888 DESCRIPTION 1 | 261 | [PHONE] | -1 | EA | -333
898-555222 DESCRIPTION 2 | 261 | [PHONE] | -1 | EA | -333
855-895215 DESCRIPTION 3 | 261 | [PHONE] | -2 | EA | -214.68
595-552125 DESCRIPTION 4 | 261 | [PHONE] | -10 | EA | -197.37
Spreadsheet: 154502d1336467186-excel-2007-output-data-list-based-on-multiple-input-data-problem
Sheet: Sheet2

e1 | e2 | e3
1 | 1 | 20000.99997500125
1 | 2 | 14142.84271283535
1 | 3
1 | 4
1 | 5
1 | 6
1 | 7
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1 | 93
1 | 94
1 | 95
1 | 96
1 | 97
1 | 98
1 | 99
1 | 100
2 | 1
2 | 2
2 | 3
2 | 4
2 | 5
2 | 6
2 | 7
2 | 8
2 | 9
2 | 10
2 | 11
2 | 12
2 | 13
2 | 14
2 | 15
2 | 16
2 | 17
2 | 18
2 | 19
2 | 20
2 | 21
2 | 22
2 | 23
2 | 24
2 | 25
2 | 26
2 | 27
2 | 28
2 | 29
2 | 30
2 | 31
2 | 32
2 | 33
2 | 34
2 | 35
2 | 36
2 | 37
2 | 38
2 | 39
2 | 40
2 | 41
2 | 42
2 | 43
2 | 44
2 | 45
2 | 46
2 | 47
2 | 48
2 | 49
2 | 50
2 | 51
2 | 52
2 | 53
2 | 54
2 | 55
2 | 56
2 | 57
2 | 58
2 | 59
2 | 60
2 | 61
2 | 62
2 | 63
2 | 64
2 | 65
2 | 66
2 | 67
2 | 68
2 | 69
2 | 70
2 | 71
2 | 72
2 | 73
2 | 74
2 | 75
2 | 76
2 | 77
2 | 78
2 | 79
2 | 80
2 | 81
2 | 82
2 | 83
2 | 84
2 | 85
2 | 86
2 | 87
2 | 88
2 | 89
2 | 90
2 | 91
2 | 92
2 | 93
2 | 94
2 | 95
2 | 96
2 | 97
2 | 98
2 | 99
2 | 100
3 | 1
3 | 2
3 | 3
3 | 4
3 | 5
3 | 6
3 | 7
3 | 8
3 | 9
3 | 10
3 | 11
3 | 12
3 | 13
3 | 14
3 | 15
3 | 16
3 | 17
3 | 18
3 | 19
3 | 20
3 | 21
3 | 22
3 | 23
3 | 24
3 | 25
3 | 26
3 | 27
3 | 28
3 | 29
3 | 30
3 | 31
3 | 32
3 | 33
3 | 34
3 | 35
3 | 36
3 | 37
3 | 38
3 | 39
3 | 40
3 | 41
3 | 42
3 | 43
3 | 44
3 | 45
3 | 46
3 | 47
3 | 48
3 | 49
3 | 50
3 | 51
3 | 52
3 | 53
3 | 54
3 | 55
3 | 56
3 | 57
3 | 58
3 | 59
3 | 60
3 | 61
3 | 62
3 | 63
3 | 64
3 | 65
3 | 66
3 | 67
3 | 68
3 | 69
3 | 70
3 | 71
3 | 72
3 | 73
3 | 74
3 | 75
3 | 76
3 | 77
3 | 78
3 | 79
3 | 80
3 | 81
3 | 82
3 | 83
3 | 84
3 | 85
3 | 86
3 | 87
3 | 88
3 | 89
3 | 90
3 | 91
3 | 92
3 | 93
3 | 94
3 | 95
3 | 96
3 | 97
3 | 98
3 | 99
3 | 100
Spreadsheet: 740458d1626347757-vslookup-with-two-conditions-sample-2
Sheet: table2

 | ABCDE | AAA | 1
 | ABCDE | BBB
 | ABCDE | CCC
 | ABCDE | DDD
 | ABCDE | EEE
 | ACCCDFG | CCC
 | ACCCDFG | AAA
 | ACCCDFG | DDD
 | ACCCDFG | BBB
 | AZZ123AAA | EEE
 | AZZ123AAA | AAA
 | AZZ123AAA | BBB
 | AYKLLMN | AAA
 | AYKLLMN | EEE
 | AYKLLMN | BBB
Spreadsheet: matt_motley__26417__EMR Prices
Sheet: Sheet1

 |  | Peak |  | Off-Peak
Region | Delivery Date | Low | High | Low | High
Red numbers indicate flat, 24-hour products.
NW/N. Rockies | 2002-01-19 00:00:00 | 18 | 19 | 17 | 18
Mid-Columbia | 2002-01-19 00:00:00 | 18 | 19 | 17 | 18
COB | 2002-01-19 00:00:00 | 21 | 22 | 17 | 19
N. California | 2002-01-19 00:00:00 | 22.5 | 25.25 | 18 | 19.25
Midway/Sylmar | 2002-01-19 00:00:00 | NA | NA | NA | NA
S. California | 2002-01-19 00:00:00 | 22.75 | 25.75 | 18.5 | 20
Mead | 2002-01-19 00:00:00 | 23.5 | 26 | 18.75 | 19.75
Palo Verde | 2002-01-19 00:00:00 | 22.5 | 26 | 17 | 21
Inland SW | 2002-01-19 00:00:00 | 22.5 | 26 | 17 | 21
4-Corners | 2002-01-19 00:00:00 | 22.75 | 24.5 | 16.5 | 18
Central Rockies | 2002-01-19 00:00:00 | 21.5 | 23.5 | 16 | 18
NW/N. Rockies | 2002-01-20 00:00:00 | 17 | 18 | 17 | 18
Mid-Columbia | 2002-01-20 00:00:00 | 17 | 18 | 17 | 18
COB | 2002-01-20 00:00:00 | 17 | 19 | 17 | 19
N. California | 2002-01-20 00:00:00 | 18 | 19.25 | 18 | 19.25
Midway/Sylmar | 2002-01-20 00:00:00 | NA | NA | NA | NA
S. California | 2002-01-20 00:00:00 | 18.5 | 20 | 18.5 | 20
Mead | 2002-01-20 00:00:00 | 18.75 | 19.75 | 18.75 | 19.75
Palo Verde | 2002-01-20 00:00:00 | 17 | 21 | 17 | 21
Inland SW | 2002-01-20 00:00:00 | 17 | 21 | 17 | 21
4-Corners | 2002-01-20 00:00:00 | 16.5 | 18 | 16.5 | 18
Central Rockies | 2002-01-20 00:00:00 | 16 | 18 | 16 | 18
Spreadsheet: 889643d1740534247-creating-a-dynamic-table-that-filters-based-on-multiple-data-validation-filters-example-2
Sheet: PROV COMP

 | Provider Type | ALL |  | Yellow cell should COUNT based on the filter criteria. This is effectively # of employees
 | State | ALL |  | Orange cells should AVERAGE based on the filter criteria
 | Employee Type | ALL |  | Avg Enc/day per Employee = Col O in Data Stack
 |  |  |  | [NAME]/day per Employee = Col R in Data Stack
 |  | 2024-01-01 00:00:00
 | Employees
 | Avg Enc/day per Employee
 | [NAME]/day per Employee