tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 1c6164e6-41ac-4112-bc96-a4a7b6b05376
Sheet: Items to be Held Confidential

[NAME] To Be Held Confidential
 | Insurance Company:
 | Market:
 | Company Contact:
 | Telephone Number:
 | Email Address:
 | The following items will not be marked for Public Access:
 | 1.  Actuarial Memorandum (Part III or State Required Actuarial Memorandum)
 | 2.  Unified Rate Review Template (URRT)
 | 3.  Replaced versions of Documents (greyed out)
 | [Additional Items that a company requests to be held confidential should be identified in the following chart.]
 | [NAME] To Be Held Confidential | Location | Date Submitted | Justification for Confidentiality
 | General Notes:
▪ | Please note that if you request that an item be held confidential, it must be attached separately from the other documents as SERFF will not allow items submitted in a group to be separated.
▪ | Include attachment name, if possible.
▪ | Filings will not be set for public access until the Department has completed review of all filings in a market segment - both on and off Exchange.
 | *Please wait until we near final review of the filing to submit this document to avoid unnecessary duplication.
 | Submit in Excel format in SERFF filing under Supporting Documents.
Spreadsheet: 207244d1358416027-fuel-type-fill-base-on-kind-of-fuel-qustion-fuel-type
Sheet: Info

For the month of: | DEC | 2012 | DEC 12
Fiscal year | FY13
Table 1 |  |  |  | Table 2
Fuel Type | Cost | Month |  | CAR | Fuel Cost | Maintenance | Official | Personal | Fuel type
Diesel | 9580 | OCT |  | IT 116 | 10400 | 4200 | 10400 | 14600 | [NAME] | #N/A
[NAME] | 10590 | OCT |  | IT 760 | 9280 | 4200 | 9280 | 13480 | Diesel | #N/A
Diesel | 9280 | NOV |  | IT 134 | 9280 | 4200 | 9280 | 13480 | Diesel | #N/A
[NAME] | 10400 | NOV |  | IT 1272 | 9280 | 4200 | 9280 | 13480 | Diesel | #N/A
Diesel | 9280 | DEC |  | IT 1500 | 9280 | 4200 | 9280 | 13480 | Diesel | #N/A
[NAME] | 10400 | DEC |  | IT 443 | 9280 | 4200 | 9280 | 13480 | Diesel | #N/A
Diesel | 100 | JAN |  | IT 835 | 10400 | 2500 | 10400 | 12900 | [NAME] | #N/A
[NAME] | 50 | JAN |  | IT 135 | 10400 | 2500 | 10400 | 12900 | [NAME] | #N/A
Diesel |  | FEB
[NAME] |  | FEB
Diesel |  | MAR
[NAME] |  | MAR |  |  | change to DEC then cost from table 1 that we enter will appear on table 2 which base on Month and kind of Fuel
Diesel |  | APR |  |  | if we change to JAN cost from JAN in table 1 will fill in Table 2 also and etc…
[NAME] |  | APR
Diesel |  | MAY
[NAME] |  | MAY
Diesel |  | [NAME]
[NAME] |  | [NAME]
Diesel |  | JULY
[NAME] |  | JULY
Diesel |  | AUG
[NAME] |  | AUG
Diesel |  | SEP
[NAME] |  | SEP
Spreadsheet: 97582d1296728353-sum-months-worth-of-purchases-from-pivot-table-purchase-orders-log
Sheet: LOG

Section | Order Number | Raised by | Date | Supplier | Order Description | Price
M | M11049 | [NAME] | 2011-01-09 00:00:00 | Metal Supermarket | [NAME] for [NAME]'s Robot | 125.5
T | T10023 | [NAME] | 2011-01-15 00:00:00 | RS | 2 Sensors for W033 | 85
M | [NAME] | [NAME] | 2011-01-22 00:00:00 | Cromwell | Bla Bla | 23.45
M | M26534 | [NAME] | 2011-02-12 00:00:00 | RS | 2 Sensors for W033 | 75.25
Spreadsheet: 46456d1245320178-sum-if-sample
Sheet: Sheet1

ID | Number | ID | Sum
1125 | 15000 | 1125 | 15000
1126 | 35000 | 1126 | 75000
1126 | 40000 | 1127 | 5000
1127 | 5000 | 1130 | 29500
1130 | 28000
1130 | 1500
Spreadsheet: 880181d1727797747-small-cash-book-for-a-dog-club-daliti-club-tms-v2
Sheet: Blad2 (TMS)

What | Person | Amount | Costs | Food | Transport | Membership | Training | Glasses
Transport | [NAME] | 100
Food | Louis | 80
Membership | [NAME] | 50
Training | Joeri | 150
Glasses | Jan | 30 |  |  |  |  |  |  |  | P.e. Costs 100 will be 70 in transport, and 10 in Glasses and 20 in Membership.
Costs | [NAME] | 10
Total |  |  |  |  |  |  |  |  |  | Amount in Column C is manually entered.
Spreadsheet: 746070d1630487587-calculate-the-ticket-actual-work-hour-based-on-the-open-date-and-stop-time-sample
Sheet: SLA Definition

Holidays | Day of the Week | Description |  | work time |  |  | Priority | Target Response Time | Days | Hours
2021-01-01 00:00:00 | Fri | Holiday 1 |  | Lower | 09:00:00 |  | P1 | Within 4 business hours | 0 | 4:00:28.800000
2021-01-28 00:00:00 | Thu | Holiday 2 |  | Upper | 18:00:00 |  | P2 | Within 8 business hours | 0 | 8:00:57.600000
2021-02-12 00:00:00 | Fri | Holiday 3 |  |  |  |  | P3 | Within 3 business days | 3 | 3 days, 0:00:00
2021-02-13 00:00:00 | Sat | Holiday 4 |  |  |  |  | P4 | Within 6 business days | 6 | 6 days, 0:00:00
2021-04-29 00:00:00 | Thu | Holiday 5 |  |  |  |  | P5 | Within 8 business days | 8 | 8 days, 0:00:00
2021-05-01 00:00:00 | Sat | Holiday 6
2021-05-13 00:00:00 | Thu | Holiday 7
2021-05-14 00:00:00 | Fri | Holiday 8
2021-05-26 00:00:00 | Wed | Holiday 9 |  |  |  |  |  |  |  | 4 days, 12:00:00
2021-06-07 00:00:00 | Mon | Holiday 10 |  |  |  |  |  |  |  | 1 day, 0:00:00
2021-07-20 00:00:00 | Tue | Holiday 11
2021-08-10 00:00:00 | Tue | Holiday 12
2021-08-31 00:00:00 | Tue | Holiday 13
2021-09-16 00:00:00 | Thu | Holiday 14
2021-10-19 00:00:00 | Tue | Holiday 15
2021-11-04 00:00:00 | Thu | Holiday 16
2021-12-11 00:00:00 | Sat | Holiday 17
2021-12-25 00:00:00 | Sat | Holiday 18
Spreadsheet: 808577d1670522916-how-to-calculate-result-by-skipping-blank-cells-exam-results-etaf
Sheet: Sheet1

STUDENT NO | ENGLISH | PHYSICS | CHEMISTRY | MATHS | BIO | IT | YOGA | STUDENT NO | Result
1 | 34 | 33 | 45 | 34 | 33 | 35 | 36 | 1 | Pass
2 | 45 | 31 | 32 | 33 | 0 | 21 | 0 | 2 | Fail on PHYSICS, CHEMISTRY, BIO, IT, YOGA
3 | 31 | 45 | 34 | 23 | 0 | 37 | 0 | 3 | Fail on ENGLISH, MATHS, BIO, YOGA
4 | 1 | 1 | 45 | 0 | 0 | 1 | 1 | 4 | Fail on ENGLISH, PHYSICS, MATHS, BIO, IT, YOGA
 |  | If a student obtained greater than and equal to 33 marks then print result? PASS? in RESULT (I) column otherwise print fails in that subject in which mark obtained less than 33. Also, some cells are blank.
 |  | e.g., STUDENT No. 2, obtained less than 33 marks in PHYSICS, CHEMISTRY and in IT. Also, BIOLOGY & YOGA cells are blanked, the result should be FAILS IN PHYSICS, CHEMISTRY, IT.
 |  | I have used the following formula which is not work:
 |  | IF(COUNT(B2:H2)=0,"",IF(COUNTIFS(B2:H2,">=33")=COUNT(B2:H2),"Pass","Fails in "&TEXTJOIN(", ",,FILTER($B$1:$H$1,(B2:H2<33)*(B2:H2<>"")))))
Spreadsheet: 846632d1697778431-add-remove-text-from-table-after-the-cell-is-filled-with-that-text-example-1-
Sheet: Helper Data

 | HELPER table to count used staff by weekday
 | Mon | Tue | Wed | Thu | Fri | Sat | Sun
Spreadsheet: 35098d1232618212-copying-hyperlinks-december-2008-excel-forum
Sheet: Week 4(a)

[NAME] по счетам группы компаний "Вагриус" |  |  |  |  |  |  | Week 4(a)
за период 22-26 Декабря  2008 года
[NAME] компании | Без Нал. | Нал. | Сумма
[NAME] | 0 | 0 | 0 |  |  | [NAME] | A5 | C11 | D11 | E11
Вагриус книги | 0 | 0 | 0 |  |  | Вагриус книги | A20 | C27 | D27 | E27
Вагриус правда | 0 | 0 | 0 |  |  | Вагриус правда | A36 | C43 | D43 | E43
Вагриус минус | 0 | 0 | 0 |  |  | Вагриус минус | A52 | C59 | D59 | E59
Плюс-минус | 0 | 0 | 0 |  |  | Плюс-минус | A68 | C75 | D75 | E75
Издательство Вагриус | 0 | 0 | 0 |  |  | Издательство Вагриус | A84 | C91 | D91 | E91
Вагриус плюс-минус | 0 | 0 | 0 |  |  | Вагриус плюс-минус | A100 | C107 | D107 | E107
Общий Итог: | 0 | 0 | 0 |  |  |  |  | C109 | D109 | E109
 |  |  |  |  |  | [NAME] | A122 | C129 | D129 | E129
 |  |  |  |  |  | Вагриус книги | A138 | C145 | D145 | E145
 |  |  |  |  |  | Вагриус правда | A154 | C161 | D161 | E161
Фактические РАСХОДЫ по счетам группы компаний "Вагриус" |  |  |  |  |  | Вагриус минус | A170 | C177 | D177 | E177
за период 22-26 Декабря  2008 года |  |  |  |  |  | Плюс-минус | A186 | C193 | D193 | E193
[NAME] компании | Без Нал. | Нал. | Сумма |  |  | Издательство Вагриус | A202 | C209 | D209 | E209
[NAME] | 0 | 0 | 0 |  |  | Вагриус плюс-минус | A218 | C225 | D225 | E225
Вагриус книги | 0 | 0 | 0 |  |  |  |  | C227 | D227 | E227
Вагриус правда | 0 | 0 | 0
Вагриус минус | 0 | 0 | 0
Плюс-минус | 0 | 0 | 0
Издательство Вагриус | 0 | 0 | 0
Вагриус плюс-минус | 0 | 0 | 0
Общий Итог: | 0 | 0 | 0
Spreadsheet: c7ec4a09-6a76-4e16-a889-088829cc8c8f
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: New Home Sales
 |  | New Single-family [NAME]: United States
 |  | Seasonally Adjusted All Houses [Thousands of Units]
 |  | Period: 2008 to 2012
 |  | Data Extracted on: December 22, 2014 (2:23 am)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2008
2009
2010
2011
2012
Spreadsheet: 39210d1237398706-vlookup-formula-signuplisting-5-
Sheet: AAD

AAD | Total Attendees: | 5 |  |  |  |  |  |  |  |  | Summary
Clive Ward-Able | Management |  |  |  | Location: | 0
[NAME] | Management |  |  |  | Date: | 1900-01-01 00:00:00
[NAME] | Management |  |  |  |  |  |  |  |  |  | [NAME]
[NAME] | Management |  |  |  | Tier 1 Meeting:
[NAME] | Management |  |  |  | Committed:
 |  |  |  |  | Booth:
 |  |  |  |  | [NAME]: | 5 | Management
 |  |  |  |  |  | 0 | Medical Communications
 |  |  |  |  |  | 0 | Medical Directors
 |  |  |  |  |  | 0 | Medical Information
 |  |  |  |  |  | 0 | RMLs
 |  |  |  |  | Hotel Information:
 |  |  |  |  | Links:
Spreadsheet: b77c2b8d-7dc0-4dd4-93b1-a13b0f949bc4
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
[NAME] | Test | [NAME] | Interleukin-2 Receptor(IL-2R),ELISA | Interleukin-2 Receptor (IL-2R) | Enzyme-Linked Immunosorbent Assay (ELISA) | Plastic vial: PlV |  |  | 2 | mL | Submit only 1 of the following specimens:  [NAME] Draw sufficient blood in plain, red-top tube(s) (Serum gel tube is  acceptable.)  [NAME] down and pour into a plastic, screw-capped, vial.   Freeze immediately.  Send 2.0 mL serum, [NAME], in a plastic vial.   [NAME] sufficient blood in a yellow-top (ACD), green-top (Heparinized)  or lavender-top (EDTA) tube(s) ([NAME] is acceptable.)   Spin down and pour into a plastic, screw-capped, vial.  [NAME] immediately.   Send 2.0 mL plasma, [NAME], in a plastic vial. | 0.5 mL | Specimens other than	Serum, plasma Anticoagulants other than	ACD, heparin, EDTA Hemolysis	NA Thawing	NA Lipemia	NA Icteric	NA | Reference Range:  <970 Units/mL INTERPRETIVE CRITERIA:   <970  Normal Level                                                             > or = 970  Elevated Level      Clinical conditions in which elevated soluble IL-2R levels  are detected include AIDS, autoimmune diseases, sarcoidosis, and a variety of leukemias and lymphomas. In HIV positive individuals, IL-2R is elevated during the asymptomatic phase as well as during persistent generalized lymphadenopathy and symptomatic phases.  IL-2R detection may be useful in  measuring T-cell activation and monitoring HIV pathogenesis. Elevated IL-2R levels may also have clinical and prognostic  significance in patients with malignant lymphoma, non- [NAME]'s lymphoma, B-cell lymphoma, and undifferentiated  lymphomas.      Test Performed by: Focus Diagnostics                                       5785 Corporate Avenue                                       Cypress, CA   90630-4750 | Tuesday | 1 - 8 days | 3 - 11 days | 1 | 84238 |  |  |  |  | Focus Diagnositics, Inc.
[NAME] | [NAME] | VARIES | Varies |  |  |  | Frozen
[NAME] | Result | Z0589 | Interleukin-2 Receptor (IL 2R) | Interleukin-2 Receptor (IL 2R) | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 105434d1302788341-creating-a-lookup-based-on-multiple-requirements-query
Sheet: Sheet1

Number | Date | STEP 1 | STEP 2 |  |  |  | Final DATA
A | 2009-10-26 00:00:00 |  | 1 |  |  |  | Number | Date
 | 2009-12-10 00:00:00 |  | 1 |  |  |  | A | 2010-04-06 00:00:00
 | 2010-02-03 00:00:00 |  | 1 |  |  |  | B | 2010-04-06 00:00:00
 | 2010-04-06 00:00:00 |  | 1 |  |  |  | C | 2010-09-11 00:00:00
 | 2010-06-18 00:00:00 | 1 |  |  |  |  | D | 2010-10-28 00:00:00
 | 2011-01-31 00:00:00 | 1 |  |  |  |  | E | 2009-09-24 00:00:00
B | 2009-10-26 00:00:00 |  | 1 |  |  |  | F | 2010-02-04 00:00:00
 | 2009-12-10 00:00:00 |  | 1 |  |  |  | G | 2010-09-03 00:00:00
 | 2010-02-16 00:00:00 |  | 1 |  |  |  | H | 2009-06-19 00:00:00
 | 2010-04-06 00:00:00 |  | 1 |  |  |  | I | 2010-05-07 00:00:00
 | 2010-06-18 00:00:00 | 1 |  |  |  |  | J | 2010-07-09 00:00:00
 | 2011-01-31 00:00:00 | 1 |  |  |  |  | K | 2011-01-26 00:00:00
C | 2010-09-11 00:00:00 | 1 |  |  |  |  | L | 2011-01-26 00:00:00
 | 2010-09-28 00:00:00 | 1 |  |  |  |  | M | 2011-01-26 00:00:00
D | 2010-10-08 00:00:00 |  | 1
 | 2010-10-28 00:00:00 |  | 1
 | 2010-12-07 00:00:00 | 1
E | 2009-09-24 00:00:00 | 1
 | 2009-10-19 00:00:00 | 1
 | 2010-10-28 00:00:00 | 1
F | 2010-02-04 00:00:00 |  | 1
 | 2010-03-12 00:00:00 | 1
G | 2010-09-03 00:00:00 |  | 1
 | 2010-09-28 00:00:00 | 1
H | 2009-06-19 00:00:00 | 1
 | 2009-12-07 00:00:00 | 1
I | 2010-05-07 00:00:00 |  | 1
 | 2010-05-26 00:00:00 | 1
J | 2010-07-09 00:00:00 | 1
 | 2010-08-09 00:00:00 | 1
K | 2011-01-26 00:00:00 | 1
 | 2011-02-28 00:00:00 | 1
L | 2011-01-26 00:00:00 | 1
 | 2011-02-28 00:00:00 | 1
M | 2011-01-26 00:00:00 | 1
Spreadsheet: 29ed9c46-6717-4816-b40a-4faadc6fa66f
Sheet: Fields 1-4

Permit No.: |  |  | WQ0035784 |  |  | Facility Name: |  | COTTAGES OF BOONE |  |  |  |  |  | County: | [NAME] |  | Month: |  |  | Year: | 2012
Did irrigation occur    at this facility? |  |  |  |  |  | Field Name: |  | 1 |  | Field Name: |  | 2 |  | Field Name: |  | 3 |  | Field Name: |  | 4
 |  |  |  |  |  | Area (acres): |  | 0.88 |  | Area (acres): |  | 1.06 |  | Area (acres): |  | 0.86 |  | Area (acres): |  | 0.86
 |  |  |  |  |  | Cover Crop: |  | [NAME] |  | Cover Crop: |  | [NAME] |  | Cover Crop: |  | [NAME] |  | Cover Crop: |  | [NAME]
 |  |  |  |  |  | [NAME] (in): |  | .0.0115 |  | [NAME] (in): |  | 0.0115 |  | [NAME] (in): |  | 0.0115 |  | [NAME] (in): |  | 0.0115
 |  |  |  |  |  | Annual Rate (in): |  | 100.36 |  | Annual Rate (in): |  | 100.36 |  | Annual Rate (in): |  | 100.36 |  | Annual Rate (in): |  | 100.36
Day | Weather |  |  | Freeboard |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated?
 | Weather Code | Temperature | Precipitation | Storage | 5-Day Upset (if applicable) | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time    Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading
 |  | ºF | in | ft | ft | gal | min | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in
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
28
29
30
31
Monthly Loading:
12 Month Floating Total (in):
Spreadsheet: 809550d1671143531-discount-rates-formula-and-npv-investment-model_help
Sheet: Sheet1

 |  |  |  |  |  | 2022-12-01 00:00:00
 | Rental Revenue Discount Rate |  |  | 0.0686
 | Residual Value Discount Rate |  |  | 0.08
 | Cash Flow
 | Rental Revenue |  |  |  |  | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86 | 258545.86
 | Residual |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17952165
 | Unlevered Cash Flow, PV
 | Residual, PV
 | Unlevered Present Value
 | Unlevered Cash Flow
 | Interest Expense |  |  |  |  | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667 | -44648.06712916667
 | [NAME]
 | Residual
 | Debt Payoff |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -15307908.73
 | Net Residual |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | [NAME], PV
 | Net Residual, PV
 | Levered Present Value
Spreadsheet: 0b71b792-dc34-4afd-b281-08ab597b15ae
Sheet: Sheet1

WABDR Sample Packing List | Unnamed: 1
(This packing list serves as an example and is not intended to be a complete list for your backcountry riding needs.  Feel free to customize this list to work for you.)
Riding
 | Helmet
 | Boots
 | Goggles
 | Gloves (2 sets)
 | Protective gear (pressure suit, Leatt brace, knee braces)
 | Jacket
 | Pants
 | [NAME] or neck gaitor
 | Water bladder or bottle
 | Hydration pack
 | Ear plugs
Clothing
 | Rain shell
 | Riding socks (2)
 | Zip pants/shorts
 | Short sleeve (base layer shirt)
 | Swim suit
 | [NAME] flops/sandals
 | Riding jersey / long-sleeve (base layer shirt)
 | Fleece jacket
 | Underwear
 | Wool beanie
 | [NAME] cap
 | Socks
Gadgets
 | Map holder / map case
 | GPS unit
 | GPS mount
 | Compass
 | Cell phone
 | Phone charger
 | Plug adapter: auto to BMW plug
 | Camera
 | Spot II
 | Notebook
 | Pencil/pen
Motorcycle
 | Engine oil
 | Clip-style master link
 | Fuses
 | Chain lube
 | Spare inner-tubes
Personal
 | Toiletries
 | Soap
 | Toothpaste
 | Toothbrush & Floss
 | Towel (MSR Pack Towel)
 | Razor
 | Toilet paper
 | Sunscreen
 | [NAME]
 | Pain reliever
 | Alergy meds
 | Wet Wipes
 | Sun Glasses
 | Passport if going into Canada
 | Money (credit cards & cash)
Books/Maps
 | Gifford Pinchot Nat'l Forest map
 | Wenatchee Nat'l Forest map
 | Okanogan Nat'l Forest map
 | WABDR Butler Map
Camping Gear
 | Sleeping bag
 | Pillow
 | Roll pad
 | Tent
 | Dry bags (2) for tent, sleeping pad & sleeping bag
 | Water storage (Dromedary Bag)
 | Folding hand saw
 | Water filter
 | Eating utensils
 | Lighter / waterproof matches
 | Can opener
 | Pots & pans
 | Coffee brewing device
 | Coffee cup
 | Headlamp (2)
 | Kitchen set & spices
 | Stove
 | Stove fuel bottle
 | Folding camp chair
Food
 | Energy bars
 | Coffee
 | Oat meal
 | Other ingredients based on meal plan
Tools & Misc
 | Tool roll / tool set
 | Tire levers
 | Tire patch kit
 | Air pump
 | Tire gauge
 | Quicksteel
 | Leatherman tool
 | Swiss Army knife
 | Large inflation CO2 (for tubeless tires)
 | First Aid kit
 | Zip ties
 | Duct tape
 | Wire
 | LocTite
 | WD-40
 | [NAME]
Packing List courtesy of Touratech-USA:
 | http://www.touratech-usa.com
For more information on the Washington Backcountry Discovery Route please visit:
 | http://www.wabdr.com
Effective July 1st, 2011 Washington residents and visitors will need to purchase one Discover Pass
for each street-legal vehicle they intend to use to access state land.
Passes are $30 per vehicle per year or $10 per vehicle for a day-use pass.
Follow the link for additional information:
 | [NAME]
Spreadsheet: 473387d1470178452-array-formulas-limitatins-could-be-pc-memory-size-problem-scratch
Sheet: 6 POINT LOOK

 | <-SHT REF |  |  | CODE CNT->
Count | Fitting | Row | Description | WEIGHT OFF (Kgs) | WEIGHT ON (Kgs)
 |  | 0
1 | dghdfhfg-010 |  |  | -68.5 | 0
2 |  |  |  | 0 | 0
3 |  |  |  | #N/A | #N/A
4 |  |  |  | #N/A | #N/A
5 |  |  |  | #N/A | #N/A
6 |  |  |  | #N/A | #N/A
7 |  |  |  | #N/A | #N/A
Spreadsheet: 876770d1723501094-skip-cells-with-zero-in-row-cosec-numbers
Sheet: Sheet1

Digit1 | Digit2 | Digit3 | Digit4 | Digit5 | Digit6 |  | Consec 0s | Consec 10s | Consec 20s | Consec 30s | Consec 40s |  | result
1 | 5 | 12 | 15 | 22 | 23 |  |  |  |  |  |  |  | 2 | 2 | 2
1 | 5 | 15 | 22 | 23 | 28 |  | 2 | 1 | 3 | 0 | 0 |  | 2 | 1 | 3
5 | 12 | 15 | 30 | 31 | 35 |  | 1 | 2 | 0 | 3 | 0 |  | 1 | 2 | 3
1 | 5 | 12 | 15 | 28 | 30 |  | 2 | 2 | 1 | 1 | 0 |  | 2 | 2 | 1 | 1
5 | 23 | 28 | 30 | 31 | 35 |  | 1 | 0 | 2 | 3 | 0 |  | 1 | 2 | 3
15 | 23 | 28 | 30 | 31 | 35 |  | 0 | 1 | 2 | 3 | 0 |  | 1 | 2 | 3
22 | 23 | 28 | 30 | 31 | 35 |  | 0 | 0 | 3 | 3 | 0 |  | 3 | 3
1 | 5 | 12 | 15 | 23 | 41 |  | 2 | 2 | 1 | 0 | 1 |  | 2 | 2 | 1 | 1
5 | 15 | 22 | 23 | 30 | 45 |  | 1 | 1 | 2 | 1 | 1 |  | 1 | 1 | 2 | 1 | 1
22 | 30 | 31 | 35 | 41 | 45 |  | 0 | 0 | 1 | 3 | 2 |  | 1 | 3 | 2
Spreadsheet: 773165d1647660750-need-help-returning-specific-text-value-based-on-criteria-new-test
Sheet: Sheet1

Column A | Column B |  |  | Desired Result |  | If the text in Column A has text string Washington, Baltimore, Dallas, NY Metro, Los Angeles, Philadelphia, Chicago, or St.Louis, then bring over the substitute in column B instead
HQ General |  |  |  | HQ General
Washington | Capital |  |  | Capital
Baltimore | Capital |  |  | Capital
South Florida |  |  |  | SouthEast
Dallas | South |  |  | South
NY Metro | Mid_Atlantic |  |  | Mid_Atlantic
Los Angeles | West |  |  | West
New England |  |  |  | New_England
Bay Area | West |  |  | West
Philadelphia | Mid_Atlantic |  |  | Mid_Atlantic
Chicago | Mid_West |  |  | Mid_West
[NAME] |  |  |  | [NAME]
St. Louis | Mid_West |  |  | Mid_West
Volunteers |  |  |  | Volunteers
BizBuilder |  |  |  | BizBuilder
Events |  |  |  | Events
Spreadsheet: 729742d1619300100-auto-data-fatch-datebook1
Sheet: Temp

 |  |  |  | 12:00:00 | 16:00:00
 |  |  | 2021-05-10 00:00:00 | 12:00:00 | 16:00:00
 |  |  | 2021-05-11 00:00:00 | 12:00:00 | 16:00:00
 |  |  | 2021-05-15 00:00:00 | 12:00:00 | 16:00:00
 | 12:00:00 | 0.6666666666666666
2021-05-10 00:00:00 | 0.5 | 0.6666666666666666
44327 | 0.5 | 0.6666666666666666
44331 | 0.5 | 0.6666666666666666
Spreadsheet: 169286d1342770821-populating-a-list-from-a-data-table-0a7
Sheet: Sheet2

Supplier 7 | <<<[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 1
 | Date | Report No | Client Name | Devision | Subdivision | Product Group | Merchandiser | Department | Supplier | Description | Sample Qty | Test ID | Test Name (Name Line 1) | Name Line 2 | Norm/Standard/Protocol | QTY | Price | Currency |  |  |  |  |  |  |  |  |  | Supplier 2
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 4
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 7
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 8
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 9
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Supplier 10
Spreadsheet: 27946d1221689833-excel-2007-copying-and-pasting-condtional-formatting-prices-and-specs
Sheet: Ship-Item Building

 |  | Have | Need |  | Have Sum | Need Sum
Isogen | 64 | 33958 | 0
Megacyte | 4850 |  | 1238
Mexallon | 22 |  | 215819
Morphite | 14999 | 0 | 0
Noxcium | 122 |  | 13505
Pyerite | 3.9 |  | 643431
Tritanium | 1.98 | 2259761 | 2889906
Zydrine | 3000 |  | 2527
Spreadsheet: 771387d1646651655-how-to-find-max-value-based-on-name-test
Sheet: Sheet1

 |  |  |  |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 1
 |  |  |  |  |  | 2021-11-15 00:00:00
Name | Project | Start Date | End Date | Duration | Probability % | 15-Nov | 16-Nov | 17-Nov | 18-Nov | 19-Nov | 20-Nov | 21-Nov | 22-Nov | 23-Nov | 24-Nov | 25-Nov | 26-Nov | 27-Nov | 28-Nov | 29-Nov | 30-Nov | 01-Dec | 02-Dec | 03-Dec | 04-Dec | 05-Dec | 06-Dec
[NAME] | 1Overview
[NAME] | BJDK | 2021-11-01 00:00:00 |  | 39 | 100
[NAME] | 1Overview
[NAME] | Food | 2022-03-01 00:00:00 |  | 35 | 80
Becker | 1Overview
Becker | Haribo | 2021-09-06 00:00:00 |  | 40 | 100
[NAME] | 1Overview
[NAME] | iPhone | 2021-11-01 00:00:00 |  | 10 | 100
Danish | 1Overview
Danish | DH2 | 2021-07-01 00:00:00 |  | 30 | 100
Danish | CALIBURN | 2021-04-05 00:00:00 |  | 34 | 100
[NAME] | 1Overview
[NAME] | [NAME] | 2021-12-01 00:00:00 |  | 34 | 100
Gamp | 1Overview
Gamp | Dairy Milk | 2021-04-05 00:00:00 |  | 35 | 100
Gamp | Dairy Milk | 2022-01-01 00:00:00 |  | 13 | 100
Gamp | Dairy Milk | 2021-04-05 00:00:00 |  | 51 | 100