tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 728266d1618397793-index-match-not-working-if-lookup-column-contains-formulas-test-sheet
Sheet: Sheet1

Note: I can replace the match type in cell E8 to 0 (exact match), but in the next rows I need the formula with an approximate match (such as in column N) because, in the column E, I need an answer for every month between the dates of the column B.
VERSION 1  NOT WORKING |  |  |  |  |  |  |  |  | VERSION 1  WORKING!
 | HELPER COLUMN WITH FORMULA (FORMAT=DATE) |  |  | NOT WORKING FORMULA |  |  |  |  |  | HELPER COLUMN VALUES (FORMAT= DATE) |  |  | WORKING FORMULA
 | q |  |  | q |  |  |  |  |  | q |  |  | q
DEBTS |  |  | PAYMENTS PER MONTH |  |  |  |  |  | DEBTS |  |  | PAYMENTS PER MONTH |  |  |  |  |  | FORMAT CONTROL (COLUMN A)
READJUSTMENT DATE |  | RENT AMOUNT | RENT PER MONTH |  | PAYMENTS |  | BALANCE |  | READJUSTMENT DATE |  | RENT AMOUNT | RENT PER MONTH |  | PAYMENTS |  | BALANCE
 |  |  | MONTH | AMOUNT | DATE | AMOUNT |  |  |  |  |  | MONTH | AMOUNT | DATE | AMOUNT
42767 |  | 300 | 2017-02-01 00:00:00 |  |  | 300 |  |  | 2017-02-01 00:00:00 | 2017-02-01 00:00:00 | 300 | 2017-02-01 00:00:00 |  | 2017-02-05 00:00:00 | 300
43313 |  | 310 |  |  |  |  |  |  | 2018-08-01 00:00:00 | 2018-08-01 00:00:00 | 310 |  |  | 2017-03-05 00:00:00 | 300
43466 |  | 320 |  |  |  |  |  |  | 2019-01-01 00:00:00 | 2019-01-01 00:00:00 | 320 |  |  | 2017-04-05 00:00:00 | 300
 |  | 300 |  |  | NOT WORKING |  |  |  |  | 2020-01-01 00:00:00 | 300 |  |  | 2017-05-05 00:00:00 | 300
 |  | 310 |  |  | FORMULA |  |  |  |  | 2021-01-01 00:00:00 | 310 |  |  | 2017-08-01 00:00:00 | 900
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2017-09-10 00:00:00 | 600
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2017-12-20 00:00:00 | 2400
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2018-07-10 00:00:00 | 600
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2018-08-05 00:00:00 | 320
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2018-10-05 00:00:00 | 310
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2018-11-05 00:00:00 | 310
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2018-12-05 00:00:00 | 310
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2019-01-10 00:00:00 | 3500
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2020-01-10 00:00:00 | 3500
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2021-01-10 00:00:00 | 1500
Spreadsheet: 6e537e52-4565-4f41-b421-b1893255d7e7
Sheet: Ledger

 | Reconcile your banking account on this sheet.  This ledger feeds directly to the expense report.  Note the bank clearing column (K), enter 1 as you reconcile to your bank statement.  [NAME] number (if applicable), Date, Income or Expense then Category Number, Description, Amount (positive numbers income, negative as expense), and bank clearing as you reconcile to your bank statement. |  |  |  |  |  |  |  |  |  |  |  |  | 1
 | Check Number | Date | Income or Expense | Cateogry Number | Budget Category From Input Sheets                                                       (This captures the Category for Reporting based on Category Number) | Pay to or Received From  Enter Name or [NAME] | Amount | Your Actual Account Balance | Bank Clearing - Enter 1 if Cleared Bank | Bank Balance as Shown on your Bank Statement |  |  |  |  | Lookup Field
 |  |  |  |  |  |  |  |  |  |  |  | Income
Start Here => |  |  |  |  |  |  |  |  |  |  |  | Expense
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  | 0
Spreadsheet: 136901d1326881137-still-struggling-with-splitting-names-into-groups-copy-of-scoredemo-v2
Sheet: Sheet1

 |  |  |  | Group A |  |  | Group B |  |  | Group C
name | score | group |  | name | score |  | name | score |  | name | score
[NAME] | 42 | A
[NAME] | 40 | B
george | 37 | B
ringo | 34 | C
mick | 30 | B
[NAME] | 28 | C
bill | 25 | A |  | Sum of score
ronnie | 22 | B |  | group | name | Total
tiger | 19 | A |  | A | bill | 25
rory | 16 | C |  |  | [NAME] | 42
sergio | 7 | A |  |  | sergio | 7
 |  |  |  |  | tiger | 19
 |  |  |  | A Total |  | 93
 |  |  |  | B | george | 37
 |  |  |  |  | mick | 30
 |  |  |  |  | [NAME] | 40
 |  |  |  |  | ronnie | 22
 |  |  |  | B Total |  | 129
 |  |  |  | C | [NAME] | 28
 |  |  |  |  | ringo | 34
 |  |  |  |  | rory | 16
 |  |  |  | C Total |  | 78
 |  |  |  | Grand Total |  | 300
Spreadsheet: 180039d1347463466-leader-board-lookup-mick-score-sheet
Sheet: Sparing

 | SPARING
 | Teams | S1 | S2 | S3 | [NAME] | S5 | S6 | S7 | S8 | S9 | S10 | S11 | S12 | S13 | S14 | S15 | S16 | S17 | S18 | S19 | S20 | S21 | S22 | S23 | S24 | S25 | S26 | [NAME] | S28 | S29 | S30 | S31 | S32 | S33 | S34 | S35 | S36 | S37 | S38 | S39 | S40 |  | TOTAL
 | IRISH ITF | 10
 | GASSOR TKD WALES | 15
 | EAST COAST TKD
 | BANNER MARTIAL ARTS
Spreadsheet: 5af2d500-54ec-4b2c-b944-d2f9e6eac817
Sheet: PPI 005

Permit No.: |  | WQ0035232 |  | Facility Name: |  | Arlington Place |  |  |  |  | County: | [NAME] |  | Month: |  |  | Year:
PPI: |  | 005 | Flow Measuring Point: |  |  |  |  |  |  | Parameter Monitoring Point:
Parameter Code |  |  | 50050 | 00310 | 00680 | 00940 | 31616 | 00610 | 00620 | 00600 | 00400 | 00665 | 70300
Day | ORC Arrival Time | ORC Time On Site
 | 24-hr | hrs
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
Average:
Daily Maximum:
Daily Minimum:
Sampling Type: |  |  | Recorder | Grab | Grab | Grab | Grab | Grab | Grab | Grab | Grab | Grab | Grab
Monthly Limit: |  |  | 58156 |  |  | 250 |  |  | 10 |  |  |  | 500
Daily Limit: |  |  |  |  |  |  |  |  |  |  | 6.5-8.5
Sample Frequency: |  |  | [NAME] | Monthly | 3 x Year | 3 x Year | Monthly | Monthly | Monthly | Monthly | Monthly | Monthly | 3 x Year
Spreadsheet: 01ed928d-5fe4-486b-ad2f-e95a46266d9b
Sheet: $ endowment

Total Endowment Expenditures by Type and Fund FY10 and FY11
Endowment Expenditures by Type FY10 and FY11
Acquisition Type | FY10 | FY11 | % change | % of total FY11 expend.
Monographs
Firm orders | 3459.51 | 4263.48
Standing orders | 351.17 | 114.39
Serials* | 36582.03 | 39437.93
TOTALS
Endowment Expenditures by Fund FY10 and FY11
Endowment fund | Fund code | FY10 | FY11 | % change
Bouclin (serials / any) |  | 0 | 0 | 0
Serials* | xbcp | 0 | 0 | 0
Black (holocaust books) |  | 0 | 0 | 0
Firm orders | [NAME] | 0 | 0 | 0
[NAME] (German)
Firm orders | [NAME] | 0 | 0 | 0
Standing orders | xbws | 289.17 | 82.69
Serials* | xbwp | 182.02 | 196.43
[NAME] (agriculture)
Firm orders | xcaf | 0 | 0 | 0
Standing orders | [NAME] | 0 | 0 | 0
Serials* | xcap | 8137.84 | 8639.66
Cloudman (math)
Firm orders | [NAME] | -6.21 | 1386.66 | 224.295
Standing orders | xcls | 62 | 31.7
Serials* | xclp | 10052.72 | 10329.4
Crandall (books for HSS) |  | 0 | 0 | 0
Firm orders | xcrf | 0 | 0 | 0
Fritsch (books / any) |  | 0 | 0 | 0
Firm orders | xfrf | 0 | 0 | 0
Galanti (nursing)
Firm orders | xgaf | 1299.94 | 803.66
Standing orders | xgas | 0 | 0 | 0
Serials* | xgap | 3281.15 | 3393.01
Hartford (books / aviation) |  | 0 | 0 | 0
Firm orders | xhaf | 0 | 0 | 0
Hoban (books / PSC & HIS) |  | 0 | 25.16 | 0
Firm orders | xhof | 0 | 25.16 | N/A
Ind. Ins. Agents (business)
Firm orders | xiif | 0 | 0 | 0
Standing orders | xiis | 0 | 0 | 0
Serials* | xiip | 14928.3 | 16879.43
Irmgard (rare books) |  |  |  | N/A
Firm orders | xirf | 0 | 1278 | N/A
[NAME] (books / hum & lit)
Firm orders | xomf | 1250 | 0
Platt (books & serials / any) |  | 0 | 0 | 0
Firm orders | xplf | 0 | 0 | 0
Urish (books lit merit) |  | 0 | 0 | 0
Firm orders | xurf | 0 | 0 | 0
[NAME] (rare books)
Firm orders | xwdf | 915.78 | 770
[NAME] (women's studies) |  | 0 | 0 | 0
Firm orders | xwsf | 0 | 0 | 0
Serials* | [NAME] | 0 | 0 | 0
 | TOTALS
Spreadsheet: 886840d1736945818-need-to-add-a-conditional-component-to-a-formula-for-the-option-to-exclude-data-sample
Sheet: YTD Survey Data

Exclude Survey "Yes or No" | Reason to exclude survey | Estimator | Claim # | Cat Code | [NAME] | Sub Peril | [NAME] | Zip Code | County | City | Survey Month Completed | CSAT Answer | Call back requested | Comments
Yes |  | [NAME] | 1410367-242123 | 2472CO | Wind | [NAME] | MD | 21222-1114 | BALTIMORE | BALTIMORE | 2025-01 | Somewhat satisfied | No
No |  | [NAME] | 1457857-241115 | 2477AL | Wind | Hurricane | GA | 31023-5613 | DODGE | EASTMAN | 2025-01 | Extremely satisfied | No | The entire process was easy.  The inspector was incredibly nice and professional, as well as the customer service rep who handled the claim after the inspection. Thank you!
Spreadsheet: 685407d1593967818-alphabetize-a-unique-list-based-on-criteria-sort-text
Sheet: Sheet1

 | Unsorted Data | Sort Rank | Sorted Data
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | Elijah
 | Lucas
 | Mason
 | Logan
 | Emma
 | Olivia
 | Ava
 | [NAME]
 | Sophia
 | Charlotte
 | [NAME]
 | Amelia
 | Harper
 | [NAME]
Spreadsheet: 0dbb0d50-575d-4a25-abbd-b256470393d8
Sheet: Sheet1

LOT 12 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | LOT 11 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | LOT 10 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | LOT 9 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | LOT 8 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | LOT 7 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | LOT 6 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | LOT 5 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | LOT-4 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | LOT 3 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | LOT 2 | Unnamed: 41 | Unnamed: 42 | Unnamed: 43 | LOT 1 | Unnamed: 45 | Unnamed: 46 | Unnamed: 47
4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1
LOT 34 |  |  |  | LOT 35 |  |  |  | LOT 36 |  |  |  | LOT 37 |  |  |  | LOT 38 |  |  |  | LOT 39 |  |  |  | LOT 40 |  |  |  | LOT 41 |  |  |  | LOT 42 |  |  |  | LOT 43 |  |  |  | LOT 44 |  |  |  | LOT 45
4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1 | 4 | 3 | 2 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 88 | interned
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35 | Street Lot
Spreadsheet: 159439d1338648140-data-validation-option-more-customised-approach-book2-davi-s-oeldere-
Sheet: Sheet1

Category | Details | Yes / No |  |  |  |  |  |  | chemical | computer |  | no | yes
Computer | Acquired | no | no value is required |  |  |  |  |  | Storage | Hardware |  | no value is required | Team A |  |  |  | Chemical
 |  |  |  |  |  |  |  |  | Acquired | Software |  |  | Team B |  |  |  | Systems
 |  |  |  |  |  |  |  |  | Delivery | Processed |  |  | Team  C |  |  |  | Computer
 |  |  |  |  |  |  |  |  |  | Not Processed |  |  | Team D |  |  |  | Information
For Cell A, have list of activities to be selected which I have used “List”, in the Column B basis the selection of Column A, a new list to be listed for Column B. For eg: incase of “Chemicals”selected in A2 then B2 should list (Storage,Acquired,Delivery). Similarly incase “computers” selected then B2 should list (Hardware, software, Processed, Not processed).
a new list to be listed for Column B. For eg: incase of “Chemicals”selected in A2 then B2 should list (Storage,Acquired,Delivery). Similarly incase “computers” selected then B2 should list (Hardware, software, Processed, Not processed).
 | Also, in Column C, basis the selection Yes /no the D column should give a List. If No is selected, no value is required. If “Yes” is selected then it should give list (Team A, team B, team c & Team D). Also, on selection of “Yes”in C column - the D column show alert or some color or a hard stop in case not filled as it’s a mandate field.
Spreadsheet: 23a4efa0-d744-41c7-b6ed-ef0e251d7889
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1
All THH
Gender | Average Salary
Female | 31680.76646706587
Male | 28749.14102564103
Grand Total | 29771.23173277662
THH (excluding Caretakers)
Gender | Average Salary
Female | 32930.25827814569
Male | 35913.34502923977
Grand Total | 34514.44409937888
Job Family
Directors & HOS
Gender | Average Salary
Female | 66833.33333333333
Male | 73400
Grand Total | 70937.5
Managers
Gender | Average Salary
Female | 43913.25
Male | 41921
Grand Total | 42534
Team Leaders
Gender | Average Salary
Female | 35708.8125
Male | 32385.38709677419
Grand Total | 33516.76595744681
Staff
Gender | Average Salary
Female | 30155.55371900827
Male | 32514.02702702703
Grand Total | 31283.96120689655
Caretakers
Gender | Average Salary
Female | 19888.6875
Male | 20055.65492957746
Grand Total | 20038.74683544304
Spreadsheet: 192405d1352397309-need-help-using-and-understanding-if-function-testing
Sheet: FINAL TEAM REPORT (Step 3)

POS | NAME | INJ (?) | OVR | COST |  |  | POS | NAME | INJ (?) | OVR | COST |  |  | POS | NAME | INJ (?) | OVR | COST | [NAME]
QB--1 |  |  |  |  |  |  | LE--1 |  |  |  |  |  |  | K--1
QB--2 |  |  |  |  |  |  | LE--2 |  |  |  |  |  |  | [NAME]
QB--3 |  |  |  |  |  |  | LE--3 |  |  |  |  |  |  | P--1
QB--4 |  |  |  |  |  |  | LE--4 |  |  |  |  |  |  | P--2
HB--1 |  |  |  |  |  |  | RE--1
HB--2 |  |  |  |  |  |  | RE--2
HB--3 |  |  |  |  |  |  | RE--3
HB--4 |  |  |  |  |  |  | RE--4
FB--1 |  |  |  |  |  |  | DT--1
FB--2 |  |  |  |  |  |  | DT--2
WR--1 |  |  |  |  |  |  | DT--3
WR--2 |  |  |  |  |  |  | DT--4
WR--3 |  |  |  |  |  |  | LOLB--1
WR--4 |  |  |  |  |  |  | LOLB--2 |  |  |  |  |  |  | # OF OFFENSIVE PLAYERS
WR--5 |  |  |  |  |  |  | LOLB--3 |  |  |  |  |  |  | # OF DEFENSIVE PLAYERS
WR--6 |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  | # OF SPEACIAL TEAMS PLAYERS
WR--7
TE--1 |  |  |  |  |  |  | MLB--1 |  |  |  |  |  |  | TOTAL
TE--2 |  |  |  |  |  |  | MLB--2 |  |  |  |  |  |  | ROSTER SPOTS LEFT
TE--3 |  |  |  |  |  |  | MLB--3
LT--1 |  |  |  |  |  |  | MLB--4 |  |  |  |  |  |  | OFFENSE TOTAL
LT--2 |  |  |  |  |  |  | ROLB--1 |  |  |  |  |  |  | DEFENSE TOTAL
LT--3 |  |  |  |  |  |  | ROLB--2 |  |  |  |  |  |  | SPC TEAM TOTAL
LG--1 |  |  |  |  |  |  | ROLB--3 |  |  |  |  |  |  | TOTAL
LG--2 |  |  |  |  |  |  | ROLB--4 |  |  |  |  |  |  | Points over/under [NAME]
LG--3 |  |  |  |  |  |  | CB--1
C--1 |  |  |  |  |  |  | CB--2 |  |  |  |  |  |  | "X" in the "INJ (?)" indicates that the player is injured
C--2 |  |  |  |  |  |  | CB--3
C--3 |  |  |  |  |  |  | CB--4 |  |  |  |  |  |  | IF there is a new cap go into cell "S23" and change "1000" to the new cap ONLY
RG--1 |  |  |  |  |  |  | CB--5
[NAME] |  |  |  |  |  |  | CB--6
RG--3 |  |  |  |  |  |  | CB--7
RG--4 |  |  |  |  |  |  | FS--1
RT--1 |  |  |  |  |  |  | FS--2
RT--2 |  |  |  |  |  |  | FS-3
RT--3 |  |  |  |  |  |  | SS--1
 |  |  |  |  |  |  | SS--2
 |  |  |  |  |  |  | SS--3
Spreadsheet: 0ecde88e-afe0-4cad-a9b2-a0018a3d6ca4
Sheet: Minors

 | Fresh. | Soph. | Juniors | Seniors | Sem. Total | SPED | PROF ED | ED | RDG | Coach ED | Trad. <24 yrs. | Non-Trad >24 yrs. | Transfer Admit | FR Admit | Re-entry | Post-bach
Fall 2010 | 14 | 38 | 32 | 40 | 124 | 14 | 98 | 0 | 0 | 12 | 105 | 19
Spring 2011 | 16 | 41 | 36 | 40 | 133 | 16 | 109 | 0 | 0 | 8 | 111 | 22
Fall 2011 | 9 | 38 | 35 | 43 | 125 | 15 | 105 | 0 | 0 | 5 | 104 | 21
Spring 2012 | 6 | 28 | 32 | 52 | 118 | 17 | 98 | 0 | 0 | 3 | 102 | 16
Fall 2012 | 17 | 36 | 35 | 58 | 146 | 12 | 130 | 2 | 0 | 2 | 130 | 16
Spring 2013 | 16 | 35 | 34 | 51 | 136 | 12 | 123 | 0 | 0 | 1 | 118 | 24
Spreadsheet: 63993d1264847549-excel-2007-calculating-number-of-units-without-vlookup-comp-sci-good
Sheet: Sheet4

Econ 1b03 | 3 units
What | My grade | Scheme 1 | Scheme 2 | Earned
Final Exam | 0.9 | 50 | 75 | 67.5
Attendence | 0.3 | 50 | 25 | 7.5
Subtotal |  | 60 | 75
Final Exam | 67.5 | out of | 75 | 0.9
Attendence | 7.5 | out of | 25 | 0.3
 | 0.75
Spreadsheet: 697613d1601447381-using-index-and-match-but-omitting-some-results-report-help
Sheet: Assign

Address | Sign | PATH | DROP
123 Address | [NAME] | [NAME] | Ant
1b basemment | Ant | Ant | Ant
23 flower garden | [NAME] | [NAME] | Ant
12 can place | [NAME] | [NAME] | [NAME]
1 False st | [NAME] | [NAME] | [NAME]
19 fake St | [NAME] | [NAME] | Ant
20 fake St | Ant | - | Ant
21 fake St | [NAME] | - | -
22 fake St | [NAME] | - | [NAME]
23 fake St | - | [NAME] | -
162 Grand Ave
163 Grand Ave | Ant
164 Grand Ave | [NAME] | [NAME] | [NAME]
165 Grand Ave | [NAME] | [NAME] | [NAME]
166 Grand Ave | Ant | - | Ant
167 Grand Ave |  | [NAME]
168 Grand Ave |  | Ant
169 Grand Ave |  | [NAME]
170 Grand Ave |  | [NAME]
3201 Grape  ST | [NAME] | [NAME] | Ant
3202 Grape  ST | [NAME] | [NAME] | [NAME]
3203 Grape  ST | [NAME] | [NAME] | [NAME]
3204 Grape  ST | [NAME] | [NAME] | Ant
3205 Grape  ST | Ant | - | Ant
3206 Grape  ST | [NAME] | - | -
3207 Grape  ST | [NAME] | - | [NAME]
3208 Grape  ST | - | [NAME] | -
3209 Grape  ST
3210 Grape  ST | Ant
3211 Grape  ST | [NAME] | [NAME] | [NAME]
3212 Grape  ST | [NAME] | [NAME] | [NAME]
3213 Grape  ST | Ant | - | Ant
3214 Grape  ST |  | [NAME]
3215 Grape  ST |  | Ant
3216 Grape  ST |  | [NAME]
3217 Grape  ST |  | [NAME]
3218 Grape  ST
3219 Grape  ST
1515  [NAME]
1516  [NAME]
1517  [NAME]
1518  [NAME]
1519  [NAME]
1520  [NAME]
521  Cane Pl
522  Cane Pl
523  Cane Pl
524  Cane Pl
525  Cane Pl
526  Cane Pl
527  Cane Pl
528  Cane Pl
529  Cane Pl
530  Cane Pl
531  Cane Pl
532  Cane Pl
533  Cane Pl
Spreadsheet: 04f6541f-db90-4303-89de-14342fd1961f
Sheet: Sheet1

Adresseliste fra www.proff.no | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
[NAME]:Oppføringer fra [NAME]
FIRMANAVN | ADRESSE | POSTNR. | POSTSTED | TELEFON | TELEFAKS
Alaris AS | Morgedalsvegen 27 | 0378 | Oslo
Yl Kraft & Service Norge Avdeling Av Utenlandsk Foretak | Tollbugata 3 | 0152 | Oslo | 22 42 85 37
[NAME] | Dronning Eufemias Gate 8 | 0191 | Oslo | 02316 | 22 05 10 10
Harry & Henry ANS | Liljeveien 3A | 0586 | Oslo | 22 09 97 71 | 22 09 07 92
[NAME] | Torpavegen 16 | 2607 | Vingrom | 61 27 95 95
MPack AS | Øvermarka 20 | 2320 | Furnes | 62 35 66 66 | 62 35 66 67
Termo Senteret Bergen AS | Lønninghaugen 15 | 5258 | Blomsterdalen | 55 13 82 55 | 55 13 82 56
Gunnar Lauritsen Service | [NAME] | 0982 | Oslo | 22 10 30 55
Liltvedt Consulting | Vikkollveien 10 | 3050 | Mjøndalen | 32 87 49 48
Elektro Kjøl AS | Industriv 4 | 9152 | Sørkjosen | 77 76 55 30 | 77 76 73 75
[NAME] | Birkelundveien 64 | 1481 | Hagan | 67 06 47 50
Alvestad Marin | Maries Gate 6 | 0368 | Oslo | 21 94 17 94
Shannon Engine Support Ltd | C/O Clare Aviation House |  | Shannon
[NAME] | [NAME] | 1414 | Trollåsen
Ormseth Golfservice AS | Sigurd Hoels Vei 100 | 0655 | Oslo
Dain Lab AS | Industrivegen 13 | 2069 | Jessheim
A9 Tekniske Norge AS | 2 . Etasje Jekteviken 6 | 5010 | Bergen | 55 55 88 30 | 55 30 20 89
[NAME] Steine Sikkerhetskonsulent | Strømsveien 320 | 1081 | Oslo | 22 30 71 00 | 22 30 23 34
Visutec AS | [NAME] Vei 11 | 4515 | Mandal | 52 71 72 22
Norstage AS | Møllervegen 22 | 5525 | Haugesund | 52 71 43 10 | 52 71 19 23
Chanson Norge AS | Holmenveien 20 | 0374 | Oslo
Swisslog Evomatic Gmbh | C/O Pwc Skatterådgivere AS Dronning Eufemias Gate 8 | 0191 | Oslo | 02316 | 22 05 10 10
Kieselmann [NAME] | C/O Deinternational AS Drammensveien 111B | 0273 | Oslo |  | 22 12 82 49
Dambach Lagersysteme Gmbh & Co. Gk | C/O Deinternational AS Drammensveien 111B | 0273 | Oslo |  | 22 12 82 49
Screen Factor AS | [NAME] 10 -12 | 0655 | Oslo | 986 73 787
Trenger du oppdaterte adresselister til DM /TM? [NAME] (www.forvalt.no) tilbyr ett segmenterings- og uttekksverktøy hvor du [NAME] frem til din målgruppe og eksportere lister til Excel. Du kan gjøre oppslag så ofte du vil, med en begrensning på 3500 selskap per søk. Våre telefonnummere er hentet fra Telefonkatalogen og [NAME].  Med segmenteringsverktøy kan du: - Hente ut adresseliste før en DM utsendelse - Lage ringelister - Hente ut bransjestatistikker - Oppdatere din kundedatabase  Se http://forvalt.no/segmenteringsverktoy/
Spreadsheet: 340000d3-5928-44d2-b29c-6143814098e3
Sheet: Resumen

Total de Competidores | 493
Total de Acompañantes | 7
[NAME]
Salieron | 491
Llegaron | 437
No Llegaron | 53
No Salieron | 2
Descalificados | 1
Total Competidores
[NAME]
Salieron | 479
Llegaron | 464
No Llegaron | 15
No Salieron | 13
Descalificados | 1
Total Competidores
[NAME]
Salieron | 479
Llegaron | 477
No Llegaron | 2
No Salieron | 13
Descalificados | 1
Total Competidores
Spreadsheet: 9a5a3cf0-a32f-424d-9f66-048161a8d17e
Sheet: Sheet1

Table 5--U.S. and world fiber prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Nov. | Dec. | Jan. |  | Jan.
Item | 2013 | 2013 | 2014 |  | 2013
 | Cents per pound
Domestic cotton prices:
Adjusted world price | 63.85 | 66.24 | 69.1 |  | 64.75
Upland spot 41-34 | 74.43 | 78.75 | 81.43 |  | 73.33
Pima spot 02-46 | 176.13 | 178 | 178 |  | 120
Average price received by
upland producers | 75.3 | 76.9 | 76 |  | 72.9
Far Eastern cotton quotes:
A Index | 84.9 | 87.37 | 91.01 |  | 85.97
Memphis/Eastern | 88.31 | 91.33 | 94.6 |  | 88.15
Memphis/Orleans/Texas | 87.69 | 91 | 94.35 |  | 87.8
California/Arizona | 89.75 | 92.75 | 96.45 |  | 91.4
 |  | Dollars per pound
Wool prices (clean):
U.S. 56s | NQ | NQ | NQ |  | NQ
Australian 56s 1/ | 5.53 | 3.43 | 3.21 |  | 3.99
U.S. 60s | NQ | NQ | NQ |  | NQ |  | `
Australian 60s 1/ | 5.27 | 4.8 | 5.1 |  | 5.79
U.S. 64s | NQ | NQ | NQ |  | NQ
Australian 64s 1/ | 5.37 | 4.89 | 5.18 |  | 5.97
NQ = No quote.
1/  In bond, Charleston, SC.
Sources: USDA, Cotton Price Statistics; Cotlook Ltd., [NAME];
and trade reports.
Last update:  2/12/14.
Spreadsheet: 81180d1281443935-copy-text-from-one-sheet-to-another-using-macro-request-form-template2
Sheet: Total

 |  |  |  | Date | 2010-08-10 12:26:51 | Total Hours Requested
 |  |  |  |  | 248
 |  |  |  |  |  |  |  |  |  |  | Percentage
 | Year | Months | Total Hours | New Hours |  |  | Total Hours |  |  | 3168 | 100
 | 2010 | June | 0 | 0 |  |  | Total Hours Required |  |  | 248 | 7.828282828282829
 | 2010 | July | 32 | 16 |  |  | Hours Not Requested |  |  | 2920 | 92.17171717171718 |  | Key
 | 2010 | August | 232 | 232 |  |  |  |  |  |  |  |  |  | Hours Requested
 | 2010 | September | 0 | 0 |  |  |  |  |  |  |  |  |  | Left Over Hours
 | 2010 | October | 0 | 0
 | 2010 | November | 0 | 0
 | 2010 | December | 0 | 0
 | 2011 | January | 0 | 0
 | 2011 | February | 0 | 0
 | 2011 | March | 0 | 0
 | 2011 | April | 0 | 0
 | 2011 | May | 0 | 0
 |  | Total | 264 | 248
Spreadsheet: 856997d1706108322-sortby-in-filter-sorby-function
Sheet: TR-Vaxo

 | I need to sort firstly by : Reference and then by date
 | Acc.# | NLI_Joined | FSLI_ENG | FSLI_GEO | BS/IS | Date | Month | Reference | Description | Debit | Credit
3502 |  | 2110 3500 | Trade Receivables | 0 | BS | 2023-02-15 00:00:00 | 2 | 3500 | CLOSING FEE 1412 | 3540.42 | 0
3501 | 2110 | 2110 3500 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3500 | PMT CLOSING FEE 1412 | 0 | 3477.5
3503 | 2110 | 2110 3500 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3500 | LEX AT CLOSING FEE 1412 | 0 | 62.92
3500 | 2110 | 2110 3501 | Trade Receivables | 0 | BS | 2023-02-07 00:00:00 | 2 | 3501 | CLOSING FEE 1411 | 1421.6 | 0
 | 2110 | 2110 3501 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3501 | PMT CLOSING FEE 1411 | 0 | 1403.85
 | 2110 | 2110 3501 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3501 | LEX AT CLOSING FEE 1411 | 0 | 17.75
 | 2110 | 2110 3502 | Trade Receivables | 0 | BS | 2023-02-02 00:00:00 | 2 | 3502 | CLOSING FEE 1416 | 8125.26 | 0
 | 2110 | 2110 3502 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3502 | PMT CLOSING FEE 1416 | 0 | 7890.59
 | 2110 | 2110 3502 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3502 | LEX AT CLOSING FEE 1416 | 0 | 234.67
 | 2110 | 2110 3503 | Trade Receivables | 0 | BS | 2023-02-15 00:00:00 | 2 | 3503 | CLOSING FEE 1414 | 1936.69 | 0
 | 2110 | 2110 3503 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3503 | PMT OF CLOSING FEE 1414 | 0 | 1902.27
 | 2110 | 2110 3503 | Trade Receivables | 0 | BS | 2023-02-20 00:00:00 | 2 | 3503 | LEX AT CLOSING FEE 1414 | 0 | 34.42