tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 221bd6c5-271c-47d1-a3de-65e4783ef87c
Sheet: Sheet1

1AWQ | 1IHG | 1Z81 | Unnamed: 3 | Unnamed: 4
- | - | M | 1AWQ | H. sapiens
- | - | G | 1IHG | B. taurus
- | - | S | 1Z81 | P. yoelli
- | - | S
- | - | H
- | - | H
- | - | H
- | - | H
- | - | H
- | - | H
- | - | S
- | - | S
- | - | G
- | - | L
- | - | V
- | - | P
- | - | R
- | - | G
- | - | S
- | M | M
- | S | K
- | H | S
- | P | N
- | S | S
- | P | K
- | Q | D
- | A | S
- | K | E
- | P | N
- | - | K
- | - | K
- | - | V
- | - | E
- | - | N
- | - | L
- | - | V
- | - | L
- | - | D
- | - | D
- | - | N
- | - | D
- | - | E
- | - | N
- | - | T
- | - | I
- | - | I
- | - | P
- | - | Y
- | - | Y
- | - | L
- | - | S
- | - | N
- | - | L
- | - | L
- | S | T
- | N | N
- | P | P
V | S | S
N | N | N
P | P | P
T | R | V
V | V | V
F | F | F
F | F | M
D | D | D
I | V | I
A | D | N
V | I | L
D | G | G
G | G | N
E | E | N
P | R | F
L | V | L
G | G | G
R | R | K
V | I | F
S | V | K
F | L | F
E | E | E
L | L | L
F | F | F
A | A | Q
D | D | N
K | I | I
V | V | V
P | P | P
K | K | K
T | T | T
A | A | S
E | E | E
N | N | N
F | F | F
R | R | R
A | A | Q
L | L | F
S | C | C
T | T | T
G | G | G
E | E | E
K | K | Y
G | G | K
F | I | V
G | G | N
- | P | -
- | T | -
- | T | -
- | G | N
- | K | L
- | P | P
- | L | V
- | H | G
Y | F | Y
K | K | K
G | G | N
S | C | T
C | P | I
F | F | F
H | H | H
R | R | R
I | I | V
I | I | I
P | K | K
G | K | E
F | F | F
M | M | M
C | I | I
Q | Q | Q
G | G | G
G | G | G
D | D | D
F | F | F
T | S | I
R | N | N
H | Q | H
N | N | N
G | G | G
T | T | S
G | G | G
G | G | S
K | E | L
S | S | S
I | I | I
Y | Y | Y
G | G | G
E | E | E
K | K | K
F | F | F
E | E | D
D | D | D
E | E | E
N | N | N
F | F | F
I | H | D
L | Y | I
K | K | K
H | H | H
T | D | D
G | K | K
P | E | E
G | G | G
I | L | L
L | L | L
S | S | S
M | M | M
A | A | A
N | N | N
A | A | S
G | G | G
P | S | P
N | N | N
T | T | T
N | N | N
G | G | G
S | S | C
Q | Q | Q
F | F | F
F | F | F
I | I | I
C | T | T
T | T | T
A | V | K
K | P | K
T | T | C
E | P | E
W | H | W
L | L | L
D | D | D
G | G | G
K | K | K
H | H | N
V | V | V
V | V | V
F | F | F
G | G | G
K | Q | R
V | V | I
K | I | I
E | K | D
G | G | N
- | - | D
- | - | S
M | M | L
N | G | L
I | V | L
V | A | L
E | K | K
A | I | K
M | L | I
E | E | E
R | N | N
F | V | V
G | E | S
S | V | V
R | K | T
N | G | P
- | - | Y
- | - | I
G | E | Y
K | K | K
T | P | P
S | A | K
K | K | I
K | L | P
I | C | I
T | V | N
I | I | V
A | A | V
D | E | E
C | C | C
G | G | G
Q | E | E
L | L | L
E | K | -
Spreadsheet: 863119d1710685895-please-help-me-calculate-the-maximum-consecutive-negative-value-in-a-column-example
Sheet: Sheet1

5 | -1024
10
-2
-5
5
2
5
-10
6
4
-11
-2
-5
-3
-7
54
61
-1023
-1
57
33
4
Spreadsheet: 750408d1633441827-automating-color-coding-and-trend-help-needed-data-color-coding-request
Sheet: 11-4-2016

 | ServiceNow Data Accuracy
 | Computers
 |  | Assigned to | Asset Function | [NAME] | Model | Acquisition Method | Computers not reporting Inventory | Cost
 | Total Records | 49398 | 49398 | 49398 | 49398 | 49398 | 49398 | 49398
 | Missing Records | 823 | 0 | 4071 | 528 | 1100 | 1350 | 1000
 | Percentage of Missing Data
 | Server-(ESX, HPUX, Windows, Storage, Zone)
 |  | Serial Number | State | [NAME] | Model | Acquisition Method | Cost
 | Total Records | 2125 | 2125 | 2125 | 2125 | 2125 | 2125
 | Missing Records | 114 | 0 | 1613 | 236 | 907 | 1848
 | Percentage of Missing Data
 | Network Gear
 |  | Serial Number | State | [NAME] | Model | Acquisition Method | Cost
 | Total Records | 4407 | 4407 | 4407 | 4407 | 4407 | 4407
 | Missing Records | 188 | 100 | 4187 | 7 | 2762 | 4131
 | Percentage of Missing Data
 | US Cycle Count 9-23-2016
 | State | In transit available | In stock available | In stock used | Pending repair | Data Retention
 | Total Records | 328 | 282 | 1067 | 52 | 284
 | Matching Records | 328 | 282 | 1067 | 52 | 284
 | [NAME]
 | Asset Reconciliation 2016 |  | Remediated Records
 | 30+ Day Audits/Site Asset Reconciliation |  | 7104
 | VMware
 | Network Gear |  | 2997
 | WebServer, AppServer, Disk, ETC |  | 5812
 | Total Infrastructure Asset Record Clean up
 | Duplicates based on Serial Number | 2016-06-22 00:00:00 | 2016-10-07 00:00:00
 | Computers | 187 | 0
 | Servers | 7225 | 212
 | Network Gear | 600 | 407
Spreadsheet: 5647fc83-2d84-4012-9c27-921e95592040
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
TURKF | Test | TURKF | Turkey Feathers, IgE | Turkey Feathers, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube: Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday, 9 a.m.-8 p.m., Saturday 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
TURKF | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
TURKF | Result | TURKF | Turkey Feathers, IgE | Turkey Feathers, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 7753-7
Spreadsheet: 472913d1469837367-import-specific-cells-in-multiple-sheets-from-hundreds-of-identical-workbooks-imp_ds_templatefordb
Sheet: Coat Thickness cont.

Section 7.0 - Coating Thickness Table
The zero (0) foot axial reference is located at Station Number/Mile Post:
Footage increasing toward downstream side.
Data in mils = thousands of an inch
Distance Looking Downstream | 22 ft. | 23 ft. | 24 ft. | 25 ft. | 26 ft. | 27 ft. | 28 ft. | 29 ft. | 30 ft. | 31 ft. | 32 ft.
12 o'clock
3 o'clock
6 o'clock
9 o'clock
Distance Looking Downstream | 33 ft. | 34 ft. | 35 ft. | 36 ft. | 37 ft. | 38 ft. | 39 ft. | 40 ft. | 41 ft. | 42 ft. | 43 ft.
12 o'clock
3 o'clock
6 o'clock
9 o'clock
Comments:
comments additional
* Data Required
Spreadsheet: 454652d1459935407-organizing-data-from-one-sheet-to-others-organize_data-1-
Sheet: RENAULT

 | Color | Shift | Date | Brand | Cars | Liters
JANUARY | Orange | W | 2015-01-09 00:00:00 | RENAULT | 8 | 10
FEBRUARY
[NAME]
APRIL | Yellow | W | 2015-04-17 00:00:00 | RENAULT | 10 | 10
MAY
[NAME] | Blue | B | 2015-06-09 00:00:00 | RENAULT | 9 | 9
JULY | ? | ? | ? | RENAULT
AUGUST
SEPTEMBER | Red | B | 2015-09-30 00:00:00 | RENAULT | 8 | 10
OCTOBER | Yellow | A | 2015-10-29 00:00:00 | RENAULT | 10 | 10
NOVEMBER | Green | A | 2015-11-26 00:00:00 | RENAULT | 8 | 8
DECEMBER
Spreadsheet: 148782d1333552635-make-unique-list-from-a-cells-in-one-row-example-table
Sheet: Sheet1

radni nalog |  |  |  | 21666 | 21666 |  |  | 21555 | 21555 | 21555 | 21555 | 21555 |  |  | 21444 | 21444 | 21444 | 21444 | 21444 |  |  | 21666 | 21666 | 21666 | 21666 | 21666 |  |  | 21444 | 21444 | 21444 | 21444 | 21444 |  |  |  |  |  |  |  |  |  | 21555 | 21444
prevoz
teren-(tr) ili sluzb. (sl)
[NAME]
Spreadsheet: 165396d1341217111-excel-2007-find-and-return-the-cross-reference-between-a-row-and-column-looking-up-a-cross-reference
Sheet: Find the price here

Price Code ¯   /  Type® | Room1 | Room2 | Room3 | Room4 | Room5
Minimum Standard | 2500 | 1500
Minimum Inhouse | 2000 | 1000
Standard | 250 | 150 | 100 | 100 | 100
Inhouse | 200 | 100 | 75 | 50 | 50
SpeIn | 50 | 50 | 50 | 50 | 50
Eksamen |  | 1000
Samtaler |  | 1000
Gratis aktivitet | 0 | 0 | 0 | 0 | 0
VENSI | 0 | 0 | 0 | 0 | 0
Slettet | 0 | 0 | 0 | 0 | 0
Grp.rum |  | 500
Spreadsheet: 740023d1626149532-calculate-the-total-of-two-different-background-colour-figure-cells-in-same-column-test
Sheet: Example

Agent | Alias | Profile ID | Contact Details | Item | Sold By | Cost | Paid | Received | Review Conditions | Review After | Review text | Review Submitted | Review Published | Refund Conditions | Refund Issued | Refund Received | Refund Email
 |  |  |  |  |  | 6.29 | 5.81
 |  |  |  |  |  | 9.98 | 9.39
 |  |  |  |  |  | 16.99 | 16.2
 |  |  |  |  |  |  | 35
 |  |  |  |  |  |  | 5
 |  |  |  |  |  |  | 70
 |  |  |  |  |  | 149.9
 |  |  |  |  |  | 26.99
 |  |  |  |  |  | 99.99
 |  |  |  |  |  | 19.99
 |  |  |  |  |  | 29.99
 |  |  |  |  |  | 52.99
 |  |  |  |  |  | 199.99
 |  |  |  |  |  | 10.99
 |  |  |  |  |  | 19.99
 |  |  |  |  |  | 21.9
 |  |  |  |  |  | 2.99
 |  |  |  |  |  | 7.99
 |  |  |  |  |  | 6.47
 |  |  |  |  |  | 33.26 | 141.4
 |  |  |  |  |  | 650.17
Spreadsheet: 784515d1655805755-mmult-function-in-365-77
Sheet: 00

 | Table 1 |  |  |  |  |  | Array 1: |  | 0 | 0 | 0
 | A | B | C | D
A1 |  | 4 | 1
A2 |  | 5 | 1 |  |  |  |  |  |  | result:
A3 | 3 |  |  |  |  |  | Array 2:
A4 |  |  | 2 |  |  |  |  | 0
A5 | 2 |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
 | Table 2
 | 1 | 2 | 3 | 4 | 5
A | 2 |  |  |  | 4
B | 3 |  | 5 | 3
C | 1 | 2 | 5 |  | 2
D |  | 2 |  |  | 3
 | Expeted results
 | 1 | 2 | 3 | 4 | 5
A1
A2
A3
A4
A5
Spreadsheet: 839083d1691650655-sumif-formula-help-financial-report-2023-season-financial-report-2-
Sheet: Report

 | Debit | Credit
INT | 0 | 0.52
PLAYHQ | 0 | 2715.85
OTH- | 433.9299999999999 | 0
SPO | 0 | 1500
KID | 0 | 805
REIMB | 4316.620000000001 | 0
UNI | 3959.8 | 0
SQ | 0 | 5486.360000000001
WAFC | 836 | 0
WDL | 640 | 0
OTH+ | 0 | 657
GRNT | 0 | 1608.25
TRO | 1901 | 0
Spreadsheet: 175689d1345617908-pastespecial-multiple-worksheet-into-a-single-workbook-master
Sheet: My_Stats from Wb "XYZ"

School | XYZ
Report Date | 2012-08-22 00:00:00
[NAME] | [NAME] | [NAME] | [NAME] | [NAME] | Students |  |  | Reason
 |  |  |  |  | Students 1 | Students 2 | Students 3 | Reason 1 | Reason 2 | Reason 3 | Reason 4 | Reason 5 | Outcome
11253 | 13 | ENGO ARM SPEC | 0 | Yes | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0
125487 | 23 | ADF EOD | 0 | Yes | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0
121458 | 15 | SENIOR EOM | 0 | Yes | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0
123354 | 19 | EO INTRODUCTION | 0 | Yes | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0
178456.5 | 20 | ENGO ARM SPEC | 0 | Yes | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0
211683.9 | 21 | ADF EOD | 0 | Yes | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0
244911.3 | 22 | SENIOR EOM | 0 | Yes | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0
278138.7 | 23 | EO INTRODUCTION | 0 | Yes | 0 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0
311366.1 | 24 | ENGO ARM SPEC | 0 | Yes | 0 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0
344593.5 | 25 | ADF EOD | 0 | Yes | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0
377820.9 | 26 | SENIOR EOM | 0 | Yes | 0 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0
411048.3 | 27 | EO INTRODUCTION | 0 | Yes | 0 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0
444275.7 | 28 | ENGO ARM SPEC | 0 | Yes | 0 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0
477503.1 | 29 | ADF EOD | 0 | Yes | 0 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0
510730.5 | 30 | SENIOR EOM | 0 | Yes | 0 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0
543957.9 | 31 | EO INTRODUCTION | 0 | Yes | 0 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0
577185.3 | 32 | ENGO ARM SPEC | 0 | Yes | 0 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 0
610412.7 | 33 | ADF EOD | 0 | Yes | 0 | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0
643640.1 | 34 | SENIOR EOM | 0 | Yes | 0 | 32 | 0 | 0 | 0 | 0 | 0 | 0 | 0
676867.5 | 35 | EO INTRODUCTION | 0 | Yes | 0 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 0
710094.9 | 36 | ENGO ARM SPEC | 0 | Yes | 0 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0
743322.3 | 37 | ADF EOD | 0 | Yes | 0 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0
776549.7 | 38 | SENIOR EOM | 0 | Yes | 0 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 0
809777.1 | 39 | EO INTRODUCTION | 0 | Yes | 0 | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0
843004.5 | 40 | ENGO ARM SPEC | 0 | Yes | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 0
876231.9 | 41 | ADF EOD | 0 | Yes | 0 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0
909459.3 | 42 | SENIOR EOM | 0 | Yes | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0
942686.7 | 43 | EO INTRODUCTION | 0 | Yes | 0 | 43 | 0 | 0 | 0 | 0 | 0 | 0 | 0
975914.1 | 44 | ENGO ARM SPEC | 0 | Yes | 0 | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 0
1009141.5 | 45 | ADF EOD | 0 | Yes | 0 | 46 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 812694d1673327482-sum-if-array-formula-updating-to-return-also-text-excelforum-return-also-text
Sheet: DATA ENTRY

 | Source for Names FOR Page1
 | NAMES |  | Names | TEST1 |  | Names | TEST2 |  | Names | TEST3 | ->>>>>>>
 | name 1 |  | name 1 | 2 | 1 | name 3 | OTHER TEXT |  | name 4 | 2
 | name 2 |  | name 2 | TEXT | 2 | name 2 | 2 |  | name 6 | 3
 | name 3 |  | name 3 | 1.25 | 3 | name 1 | TEXT SAMPLE |  | name 1 | TEXT SAMPLE
 |  |  | Names above this  are not arrange
Spreadsheet: 770202d1645889091-sorting-multiple-columns-by-matching-values-in-rows-sample-workbook
Sheet: Sheet1

Name | ID | 2020 Sales | 2020 Units | 2021 Sales | 2021 Units | [NAME] | Units Difference
 | 8910 | 300 | 6 | 100 | 2 | -200 | -4
Julie | 1599 | 0 | 0 | 1000 | 20 | 1000 | 20
[NAME] | 1011 | 150 | 3 | 850 | 17 | 700 | 14
Mark | 1234 | 100 | 2 | 600 | 12 | 500 | 10
[NAME] | 9999 | 50 | 1 | 0 | 0 | -50 | -1
[NAME] | 2044 | 900 | 18 | 200 | 4 | -700 | -14
[NAME] | 1555 | 400 | 8 | 350 | 7 | -50 | -1
[NAME] | 5678 | 700 | 14 | 750 | 15 | 50 | 1
Spreadsheet: 679221d1590262133-display-unique-customer-formula-box-data-excel-forum
Sheet: Sample data set

 |  | Sample Data Set
 |  | All Files/1. [NAME]'s loans with [NAME].  [NAME]
 |  | All Files/1. [NAME]'s loans with [NAME].  Approved Loans/Todd & Tina Smith loan file/
 |  | All Files/1. [NAME]'s loans with [NAME].  Approved Loans/Todd & Tina Smith loan file/1. Submission/
 |  | All Files/1. [NAME]'s loans with [NAME].  Approved Loans/Todd & Tina Smith loan file/1. Submission/Credit Report.pdf
 |  | All Files/1. [NAME]'s loans with [NAME].  Approved Loans/Todd & Tina Smith loan file/1. Submission/ID Todd.pdf
 |  | All Files/1. [NAME]'s loans with [NAME].  Approved Loans/Alice & Frank Jones loan file/
 |  | All Files/1. [NAME]'s loans with [NAME].  Approved Loans/Alice & Frank Jones loan file/1. Submission/
 |  | …and so on
 |  | Goal
 |  | I want to identify one record for Todd & Tina Smith, and one record for Alice & Frank Jones; although I have several sub-folders/files for each of those customers.
 |  | I don't want to list the sub-folders/files.
 |  | I believe if I had a formula that looked for a string that ended in "loan file/" I could achieve my goal.
 |  | In words, I'd want this formula to say… look for unique records that end in "loan file/" and have nothing after that string.
 |  | Thanks for any help!!
Spreadsheet: 91d77068-f60e-42e1-9d97-7721f82fa146
Sheet: Sheet1

TILDESLEY SHIELD PLAYER ENTRIES 2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Due: | 3rd February 2012 |  |  |  | [NAME] to: |  | [NAME]
SCHOOL NAME:
To assist with the preparation of the Tildesley Shield draw, please submit your top seeded players separately in the table below. All singles players and doubles combinations must be ranked in order of ability.
Please indicate which grade in the IGSSA Saturday morning comp that these players are playing.
SINGLES |  |  |  |  |  | DOUBLES
Singles Seeded Players |  |  |  |  |  | [NAME] Players
in order of ability |  |  |  |  |  | in order of ability
 | FIRST NAME | SURNAME | IGSSA Grade | Aust Ranking |  |  | Player 1 | Player 2 | IGSSA Grade | Aust Ranking | *** Please make sure that you use the most recent Australian Rankings
Example | [NAME] | Smith |  | 253 |  | Example | [NAME] | [NAME] | 1A / 1B | N/A / 157
1 |  |  |  |  |  | 1
2 |  |  |  |  |  | 2
3 |  |  |  |  |  | 3
4 |  |  |  |  |  | 4
Other team entries in order of ability |  |  |  |  |  | Other team entries in order of ability
 | FIRST NAME | SURNAME | IGSSA Grade | Aust Ranking |  |  | Player 1 | Player 2 | IGSSA Grade | Aust Ranking
1 |  |  |  |  |  | 1
2 |  |  |  |  |  | 2
3 |  |  |  |  |  | 3
4 |  |  |  |  |  | 4
5 |  |  |  |  |  | 5
6 |  |  |  |  |  | 6
7 |  |  |  |  |  | 7
8 |  |  |  |  |  | 8
9 |  |  |  |  |  | 9
10 |  |  |  |  |  | 10
11 |  |  |  |  |  | 11
12 |  |  |  |  |  | 12
13 |  |  |  |  |  | 13
14 |  |  |  |  |  | 14
15 |  |  |  |  |  | 15
16
17
18
19
20
Spreadsheet: 2fb9bf84-8db7-4f14-91a3-9535734a7b73
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 Residential Construction
 |  | Housing Units Completed: United States
 |  | Seasonally Adjusted Single-family Units [Thousands of Units]
 |  | Period: 2008 to 2012
 |  | Data Extracted on: October 1, 2014 (4:20 pm)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2008
2009
2010
2011
2012
Spreadsheet: 08babb8d-994a-4112-9f6f-29a20435a2af
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
 | 6202.0 Labour Force, Australia
 | Article data on Aggregate monthly hours worked by State - Trend and Seasonally adjusted
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Aggregate Monthly Hours Worked ;  NEW SOUTH WALES ; |  |  | Trend | A3591553W | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  VICTORIA ; |  |  | Trend | A3591554X | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  [NAME] ; |  |  | Trend | A3591555A | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  SOUTH AUSTRALIA ; |  |  | Trend | A3591556C | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  WESTERN AUSTRALIA ; |  |  | Trend | A3591557F | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  TASMANIA ; |  |  | Trend | A3591558J | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  NORTHERN TERRITORY ; |  |  | Trend | A3591559K | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  AUSTRALIAN CAPITAL TERRITORY ; |  |  | Trend | A3591560V | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  NEW SOUTH WALES ; |  |  | Seasonally Adjusted | A3591544V | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  VICTORIA ; |  |  | Seasonally Adjusted | A3591545W | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  [NAME] ; |  |  | Seasonally Adjusted | A3591546X | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  SOUTH AUSTRALIA ; |  |  | Seasonally Adjusted | A3591547A | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  WESTERN AUSTRALIA ; |  |  | Seasonally Adjusted | A3591548C | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
Aggregate Monthly Hours Worked ;  TASMANIA ; |  |  | Seasonally Adjusted | A3591549F | 1978-07-01 00:00:00 | 2010-11-01 00:00:00 | 389 | 000 Hours | FLOW | Month | 1
© Commonwealth of Australia  2010
Spreadsheet: 843296d1695192128-a-doosy-complex-logic-for-filtering-can-you-figure-it-out-copy-of-test-formulas
Sheet: Report

 | Instruction: | - Select in the filter lists from the available values.
 |  | - To clear a filter cell, click in the cell and press 'Delete' key.
 |  | - You can also search by text via the text boxes.
 |  |  | Filters....
 | Vendor | Instrument Type | Application/Use | [NAME] Type
 | Number of matches: |  | Text Search....
 |  | Keyword search in library name: | Keyword search in library subgroup: | Keyword search in patch name:
 |  | Keyword search - Match any field: | Keywords to omit from results:
 |  | piano | Legacy
 | Results....
 | Vendor | Library | Library Group Name | Patch Name
 |  | 8Dio 1985 Passionate [NAME] v1 | Presets | 8Dio 1985 Passionate [NAME] - Delayed Bass CC1.nki
 | 8Dio | 8Dio 1985 Passionate [NAME] v1 | Presets | 8Dio 1985 Passionate Piano - Driven Spots.nki
 | 8Dio | 8Dio 1985 Passionate [NAME] v1 | Presets | 8Dio 1985 Passionate [NAME]
 | 8Dio | 8Dio 1985 Passionate [NAME] v1 | Presets | 8Dio 1985 Passionate [NAME] CC1.nki
 | 8Dio | 8Dio 1985 Passionate [NAME] v1 | Presets | 8Dio 1985 Passionate [NAME] - Late Night Scoring Piano.nki
Spreadsheet: michelle_cash__26540__Document R-4 051001 UK
Sheet: Summary

[NAME]: VR PAYMENT CALCULATION
Basic UK Severance Data
Name
Date of Birth                      (dd/mm/yy)
Date of Hire                       (dd/mm/yy)
Date of Termination            (dd/mm/yy)
Age at Date of Hire
Age at Date of Termination
Actual Years of Service
Complete Years of Service
Complete Years of Service over age 41
Months of Notice Period
Base Salary
[NAME] (1) | 0.1
Annual Benefit Value
Car Allowance
UK Severance Calculation for Voluntary Redundancy
Payment in respect of foregone notice (2)
Additional Severance payment
Total amount due (3)
Additional Severance Calculation
Amount due for 3 weeks per year
Minimum Amount offered
Maximum Amount offered
Actual Amount Per Formula
Statutory Redundancy
[NAME]
Voluntary | Compulsory
3 wks/yr svc | 2 wks/yr svc
if < 1yr, min 4 wks | if < 1yr, min 0 wks
if > 1yr, min 8 wks | if > 1yr, min 4 wks
20 wks [NAME] | 10 wks [NAME]