tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 696226d1600708920-three-letter-combination-into-1-to-10-characters-combinabcfx
Sheet: Sheet1

N |  | 1 |  | N |  | Count
A |  | A |  | 5
B |  | B
C |  | C
D |  | D
AA
AB
AC
AD
BB
BC
BD
CC
CD
DD
AAA
AAB
AAC
AAD
ABB
ABC
ABD
ACC
ACD
ADD
BBB
BBC
BBD
BCC
BCD
BDD
CCC
CCD
CDD
DDD
AAAA
AAAB
AAAC
AAAD
AABB
AABC
AABD
AACC
AACD
AADD
ABBB
ABBC
ABBD
ABCC
ABCD
ABDD
[NAME]
ACCD
ACDD
ADDD
BBBB
BBBC
BBBD
BBCC
BBCD
BBDD
BCCC
BCCD
BCDD
[NAME]
CCCC
CCCD
CCDD
[NAME]
DDDD
AAAAA
AAAAB
AAAAC
AAAAD
AAABB
AAABC
AAABD
AAACC
AAACD
AAADD
AABBB
AABBC
AABBD
AABCC
AABCD
AABDD
AACCC
AACCD
AACDD
[NAME]
[NAME]
ABBBC
[NAME]
ABBCC
ABBCD
ABBDD
ABCCC
ABCCD
ABCDD
ABDDD
ACCCC
ACCCD
ACCDD
[NAME]
ADDDD
BBBBB
BBBBC
BBBBD
BBBCC
BBBCD
BBBDD
BBCCC
BBCCD
BBCDD
BBDDD
BCCCC
BCCCD
BCCDD
[NAME]
BDDDD
CCCCC
CCCCD
CCCDD
[NAME]
CDDDD
DDDDD
Spreadsheet: 686237d1594445566-how-to-return-first-date-value-in-a-list-that-equals-the-current-month-copy-of-sample-aligw
Sheet: Year Template

 | Pay Date | Amount
Enter first paydate in B7: |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
 |  | 0
Spreadsheet: 482283d1474990391-extracting-the-statistics-from-spreadsheet-nightmare-trainingattendancestats
Sheet: Training Stats

Clinical Training Stats
Number of people who have attended atleast 1 training session per month (If a person has attended  2 only counted once)
 | [NAME] | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
Form 1
Red
Green
Blue
Yellow
Number of people across the Form who have attended at least 1 training session (as above buy Seniority Column A)
Form 1 |  | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
12
11
10
9
8
7
6
5
4
3
2
1
Number of people across the teams who have attended at least 1 training session (as above buy Seniority Column A)
Red |  | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
12
11
10
9
8
7
6
5
4
3
2
1
Number of people across the teams who have attended at least 1 training session (as above buy Seniority Column A)
Green |  | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
12
11
10
9
8
7
6
5
4
3
2
1
Number of people across the teams who have attended at least 1 training session (as above buy Seniority Column A)
Blue |  | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
12
11
10
9
8
7
6
5
4
3
2
1
Number of people across the teams who have attended at least 1 training session (as above buy Seniority Column A)
Yellow |  | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan | Feb | Mar
12
11
10
9
8
7
6
5
4
3
2
1
Number of people across the teams who have attended at least 1 training session (as above buy trade (Column D)
 | Apr | May | Jul | Sep | Nov | Jan | Mar
Red
EMT
GP
RN
PHYSIO
HCA
ENP
Support Staff
Dental Nurse
Dentist
Green
EMT
GP
RN
HCA
Blue
EMT
GP
HCA
Support Staff
Yellow
EMT
GP
RN
HCA
ENP
Support Staff
Spreadsheet: 214963d1361212760-how-to-create-a-packing-list-from-a-distribution-list-blist_layout
Sheet: Sheet1

Books List
College ID: | 102
College: | [NAME]
Address:
Books | Quantity
A guide to walking | 5
Running in the Park | 3
Night and Day | 3
[NAME] | 3
School Days | 3
Final Warning | 2
Culture and Society | 2
Spreadsheet: 877086d1723757128-logical-function-help-assignment-template-2
Sheet: Sheet1

 | Request Number | Witness | Assistant(s)
 | 001 | [NAME] | w/[NAME], [NAME]
 | 002 | [NAME] | w/Elaine Benes
 | 003 | [NAME] | w/Cosmo Kramer
 | 004 | [NAME], [NAME] | w/[NAME], [NAME], [NAME]
 | 005 | [NAME], [NAME] | w/Elaine Benes, [NAME]
 | 006
 | 007 | I will be entering witness names | I'm wanting the assistants' names
 | 008 | in this column. The number of witnesses | to be added in this column
 | 009 | is variable. | automatically if possible.
Spreadsheet: 754677d1636437253-how-do-i-fill-the-cells-between-2-numbers-with-a-linear-series-of-values-bo_ry_fillwithlinearseries-i-
Sheet: Sheet1

entry-d | exit-d | lng-entry-$ | shrt-entry-$ | lng-exit-$ | shrt-exit-$ | longs | shorts
2021-11-05 00:00:00 | 2021-11-05 00:00:00 |  | 304.0435654779216 | 304.0435654779216 |  | 304.0435654779216 | 304.0435654779216 |  | columns g & h - how do I fill the cells between 2 numbers with a linear series of values - not knowing where the next non-empty cell might be?
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Gn-Ls per day
2021-09-15 00:00:00 |  | 219.9969647836373 |  |  |  | 219.9969647836373
 | 2021-09-13 00:00:00 |  |  |  | 222.3247736950884 |  | 222.3247736950884
2021-09-10 00:00:00 | 2021-09-10 00:00:00 |  | 226.2599963626679 | 226.2599963626679 |  | 226.2599963626679 | 226.2599963626679
2021-07-19 00:00:00 |  | 179.7140342990358 |  |  |  | 179.7140342990358
 |  |  |  |  |  |  |  |  | these (cells g82-g85) should not contain values, no lng-pos - e.g. the series should only be between lng entry/exit
 | 2021-07-13 00:00:00 |  |  |  | 202.8934874427218 |  | 202.8934874427218
2021-07-12 00:00:00 | 2021-07-12 00:00:00 |  | 204.5185501684647 | 204.5185501684647 |  | 204.5185501684647 | 204.5185501684647
2021-06-21 00:00:00 | 2021-06-21 00:00:00 | 184.4288337044324 |  |  | 184.4288337044324 | 184.4288337044324 | 184.4288337044324
 |  |  |  |  |  |  |  |  | formula doesn't easily travel to shrt-pos, dunno why
2021-06-17 00:00:00 | 2021-06-17 00:00:00 |  | 181.6752380948743 | 181.6752380948743 |  | 181.6752380948743 | 181.6752380948743
2021-05-27 00:00:00 | 2021-05-27 00:00:00 | 155.4002674908716 |  |  | 155.4002674908716 | 155.4002674908716 | 155.4002674908716
2021-05-20 00:00:00 | 2021-05-20 00:00:00 |  | 144.1910953900825 | 144.1910953900825 |  | 144.1910953900825 | 144.1910953900825
2021-05-17 00:00:00 | 2021-05-17 00:00:00 | 141.0388701388687 |  |  | 141.0388701388687 | 141.0388701388687 | 141.0388701388687
2021-05-14 00:00:00 | 2021-05-14 00:00:00 |  | 139.3656288187782 | 139.3656288187782 |  | 139.3656288187782 | 139.3656288187782
 |  |  |  |  |  |  |  |  | why is this #N/A?, assume because the time interval to the earlier date is longer - how to adjust the formula?
2020-12-15 00:00:00 |  | 131.7868160755591 |  |  |  | 131.7868160755591
entry-d | exit-d | lng-entry-$ | shrt-entry-$ | lng-exit-$ | shrt-exit-$
Spreadsheet: 841383d1693566271-automated-table-using-form-results-book1
Sheet: Sheet1

 | TEA BAR SUBS 2023
 | Name | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
 | Louis | Y | Y | Y | Y | Y | Y | Y | Y
 | [NAME] | Y | Y | Y | Y | Y | Y | Y | N
Spreadsheet: 7164ee27-502f-411e-ba1f-8f642633968a
Sheet: Sheet1

Adresseliste fra www.proff.no | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Bransje:Regnskapstjenester
FIRMANAVN | ADRESSE | POSTNR. | POSTSTED | TELEFON | TELEFAKS
Abaci AS | Grini Næringspark 1 | 1361 | Østerås | 67 14 10 30 | 67 14 32 33
[NAME] | Bogstadv. 30 | 0355 | Oslo | 22 20 04 00 | 22 20 04 10
[NAME] | Kongsv. 91 | 1177 | Oslo | 23 03 11 40 | 22 42 09 52
[NAME] | Rådhusg. 23B | 0158 | Oslo | 22 47 76 70 | 22 42 09 52
Vardens Revisjonskontor AS | Skipperg. 33 | 0154 | Oslo | 24 14 12 00 | 22 42 67 72
[NAME] AS | Rådyrv. 2A | 3370 | Vikersund | 32 78 86 03 | 32 78 89 40
Aurskog Regnskapskontor AS | [NAME] | 1930 | [NAME] | 63 85 38 50
[NAME] avd Trondheim | Fjordg. 43 | 7010 | Trondheim | 73 10 24 10 | 852 33 083
Steen & Jensen Økonomi AS | [NAME] 59 | 3036 | Drammen | 32 88 90 10
Consis AS | [NAME]. 107 | 0663 | Oslo | 21 99 22 40
TomCon AS | [NAME]. 15 | 3117 | [NAME] | 33 00 48 80 | 33 31 02 77
[NAME] | Ant H Mysens g 13 | 1850 | Mysen | 69 84 60 90 | 69 84 60 99
Hallingdal Økonomiservice AS | Elvevegen 4 | 3550 | Gol | 32 02 93 20 | 32 07 32 30
Kollektor AS | [NAME] | 7898 | Limingen | 74 33 64 00 | 74 33 64 01
Sjølyst Regnskap ANS | Drammensv. 126A | 0277 | Oslo | 22 55 59 78 | 22 55 66 96
Proaktiv Regnskap AS | Langflåtv. 29 | 4017 | Stavanger | 51 88 98 50 | 51 88 98 59
Pedersen & Skogholt | Idrettsv. 9 | 1400 | Ski | 64 85 15 00
Spjelkavik Regnskap AS | Langelandsv. 17 | 6010 | Ålesund | 70 15 20 10 | 70 15 20 20
Erøy Regnskap AS | Idrettsv. 9 | 1400 | Ski | 64 91 14 00 | 64 87 57 01
[NAME] | Mundal | 6848 | Fjærland | 57 69 12 03 | 57 69 12 78
Andersen Regnskap AS | Østerøya 202 | 4625 | Flekkerøy | 38 10 00 11 | 38 10 00 10
Regnskapsbyrået Sandnes AS | Erling Skjalgsons g 10 | 4307 | Sandnes | 51 68 14 20 | 51 68 14 29
Økonor Toten (Skreia Regnskapskontor AS) | [NAME]. 4 | 2848 | Skreia | 61 16 86 80 | 61 16 86 99
Revisor Cirkelen Stokke AS | Storg. 1 | 3160 | Stokke | 33 33 65 40 | 33 33 64 04
Lofoten Økonomiservice AS | Hellandsg. 65 | 8312 | Henningsvær | 76 07 59 00 | 76 07 59 09
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: e343b036-26c5-4f37-a91f-666cf7d444e3
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
FMIL | Test | FMIL | [NAME], IgE | [NAME], 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
FMIL | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
FMIL | Result | FMIL | [NAME], IgE | [NAME], IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 11186-4 | Setaria [NAME].IgE:ACnc:Pt:Ser:Qn:
Spreadsheet: 706517d1606753922-how-to-convert-price-in-eur-from-a-column-with-many-currencies-values-and-n-a-values-clean-data
Sheet: Converter

#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
#[NAME]!
Spreadsheet: 727118d1617722445-if-then-forumla-sample
Sheet: FY22 - Q1 and Q2

24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51
Quality Metric 1 | FY21 Baseline | Reporting Owner | Raw Data Q1 | Score Q1 | Raw Data Q2 | Score Q2 | Quality/Quality of Life Metric 2 | FY21 Baseline | Reporting Owner | Raw Data Q1 | Score Q1 | Raw Data Q2 | Score Q2 | Quality Metric 3 | FY21 Baseline | Reporting Owner | Raw Data Q1 | Score Q1 | Raw Data Q2 | Score Q2 | Experience Metric | FY21 Baseline | Reporting Owner | Raw Data Q1 | Score Q1 | Raw Data Q2 | Score Q2
SSI | 0.022 |  | 0.12 |  | 0.05 | 1 | Surgery 1st Case | 0.67 |  | 0.51 | 2 | 0.77 | 3 | Access to Clinic | 20 days |  |  |  | 19 days |  | NPS | TBD by SLT
Spreadsheet: dutch_quigley__9240__011204 Nemak
Sheet: Deal Sheet for Printing

 |  |  |  |  |  |  |  |  |  |  |  |  |  | PURCHASE BEHIND  PLANT |  |  |  |  |  | DEDICATED RESERVES
 |  |  |  |  |  |  |  |  |  |  |  |  |  | NAME PLANT:________________ |  |  |  |  |  | FIRST PURCHASER
Enron Captial & Trade Resources Corp.
 |  |  |  |  |  |  |  | Executed Deal Ticket |  |  |  |  |  | DEAL NUMBER |  |  |  |  | Deal | #________________
COUNTERPARTY/CUSTOMER |  |  | CONTACT |  |  |  |  | ORIGINATOR |  |  | DEAL DATE |  |  | TRANSACTION TYPE(SWAP, CAP, INDEX, ETC.)
Nemak |  |  | [NAME] |  |  |  |  | [NAME] |  |  | 2001-12-04 00:00:00 |  |  | Swap
ECTR COUNTERPARTY |  |  |  |  |  |  |  |  |  |  |  |  |  |  | PHYSICAL DELIVERY POINT/PIPELINE |  |  |  |  | COMMODITY
ENA |  |  |  |  |  |  |  |  |  |  | HPL/SHPCHAN |  |  |  | --- |  |  |  |  | NG
UNIT OF MEASURE |  |  | MW |  |  |  | CURRENCY |  | BROKER |  | FEE |  |  | DEAL STATUS |  |  |  | SETTLEMENT
 |  |  |  | --- |  |  |  |  | --- |  | ---
 |  |  | RISK MANAGER INITIALS:
PHYSICAL  NOTIONAL DEL  START DATE | PHYSICAL  NOTIONAL DEL  END DATE | REFERENCE  CODE (e.g. NX3) | FINANCIAL  REFERENCE  START DATE |  | FINANCIAL REFERENCE END  DATE |  | FIRM  QUANTITY  (A) | OPTION/OMICRON  QUANTITY (B) |  | TOTAL MAXIMUM  QUANTITY (A+B) | FIXED  PRICE | BASIS | C PHYSICAL  PREMIUM | C ADMIN/ OTHER | C TRANSPORT  PRICE |  | C OMICRON  PRICE | CONTRACT  PRICE/ STRIKE | C OPTION  PREMIUM |  | ORIGINATION
 |  |  |  |  |  |  |  |  |  |  |  | EFP
 |  | NX1 | 2002-04-01 00:00:00 |  | 2003-12-01 00:00:00 |  | 234000 |  |  |  | 3.1075 | 0.0175 |  |  |  |  |  | 3.125 |  |  | 0.0225
 |  | NX2 | 2002-01-01 00:00:00 |  | 2002-03-01 00:00:00 |  | 234000 |  |  |  | 2.685 | -0.015 |  |  |  |  |  | 2.67 |  |  | 0.025
[NAME]:
Spreadsheet: 66425d1267086995-create-list-from-pivot-table-testlistfrompivot
Sheet: Pivot

PIVOT DATA COMES FROM AN EXTERNAL SOURCE
 |  |  |  |  |  | [NAME] to be added to create Validation List
 |  | 1product
operator | Data | blue | red | yellow | Grand Total
[NAME] | quote (not converted) | 5 |  | 2 | 7 | 5
 | sale (converted) | 1 | 2 | 1 | 4
 | total customers | 6 | 2 | 3 | 11
 | payment | 100 | 50 | 50 | 200
Jake | quote (not converted) | 2 | 3 | 4 | 9 | 9
 | sale (converted) | 4 | 3 |  | 7
 | total customers | 6 | 6 |  | 12
 | payment | 400 | 75 |  | 475
[NAME] | quote (not converted) | 6 | 3 | 2 | 11 | 13
 | sale (converted) | 1 | 1 | 4 | 6
 | total customers |  | 4 |  | 4
 | payment | 100 | 25 | 200 | 325
Total quote (not converted) |  | 13 | 6 | 8 | 27
Total sale (converted) |  | 6 | 6 | 5 | 17
Total total customers |  | 12 | 12 | 3 | 27
Total payment |  | 600 | 150 | 250 | 1000
Spreadsheet: 71224d1271924006-change-between-columns-test
Sheet: Sheet1

WAS | NOW | New Column
5 | 6 | 1
5 | 7 | 2
5 | 4 | 1
5 | 5 | 0
5 | 5 | 0
5 | 3 | 2
3 | 3 | 0
3 | 3 | 0
3 | 3 | 0
3 | 2 | 1
3 | 5 | -2
2 | 1 | 1
2 | 5 | -3
2 | 2 | 0
 | *Ranking- so an increase from 3 to 5 is a negative  (fall by -2 in rank)
Spreadsheet: 856103d1705483176-find-value-return-sheet-colum-and-row-name-searchexample_excelforum_v3
Sheet: Sheet3

 |  | [NAME]
reference | product | SHEET | ROW | COLUMN | SHEET | ROW | COLUMN
1 | A1_F | 1 | A | 1
2 | A2_F | 1 | A | 2 | 2 | G | 5
3 | A3_F
4 | A4_F
5 | A5_F
6 | A6_F
7 | A1_R
8 | A2_R
9 | A3_R
10 | [NAME]
11 | A5_R
12 | A6_R
13 | B1_F
14 | B2_F
15 | B3_F
16 | B4_F
17 | B5_F
18 | B6_F
19 | B1_R
20 | B2_R
21 | B3_R
22 | B4_R
23 | [NAME]
24 | B6_R
25 | C1_F
26 | C2_F
27 | C3_F
28 | C4_F
29 | C5_F
30 | C6_F
31 | C1_R
32 | C2_R
33 | C3_R
34 | C4_R
35 | C5_R
36 | [NAME]
37 | D1_F
38 | D2_F
39 | D3_F
40 | D4_F
41 | D5_F
42 | D6_F
43 | D1_R
44 | [NAME]
45 | D3_R
46 | D4_R
47 | D5_R
48 | D6_R
49 | E1_F
50 | E2_F
51 | [NAME]
52 | E4_F
53 | E5_F
54 | E6_F
55 | E1_R
56 | E2_R
57 | E3_R
58 | E4_R
59 | E5_R
60 | [NAME]
61 | F1_F
62 | [NAME]
63 | F3_F
64 | F4_F
65 | F5_F
66 | F6_F
67 | F1_R
68 | F2_R
69 | F3_R
70 | F4_R
71 | F5_R
72 | [NAME]
73 | G1_F
74 | [NAME]
75 | [NAME]
76 | G4_F
77 | [NAME]
78 | G6_F
79 | G1_R
80 | G2_R
81 | G3_R
82 | G4_R
83 | [NAME]
84 | G6_R
85 | [NAME]
86 | H2_F
87 | [NAME]
88 | H4_F
89 | H5_F
90 | H6_F
91 | H1_R
92 | H2_R
93 | H3_R
94 | [NAME]
95 | H5_R
96 | H6_R
97 | I1_F
98 | I2_F
99 | I3_F
100 | I4_F
101 | I5_F
102 | I6_F
103 | I1_R
104 | I2_R
105 | I3_R
106 | I4_R
107 | I5_R
108 | I6_R
109 | J1_F
110 | J2_F
111 | [NAME]
112 | J4_F
113 | [NAME]
114 | [NAME]
115 | J1_R
116 | J2_R
117 | [NAME]
118 | [NAME]
119 | [NAME]
120 | [NAME]
121 | [NAME]
122 | K2_F
123 | K3_F
124 | K4_F
125 | [NAME]
126 | K6_F
127 | K1_R
128 | K2_R
129 | K3_R
130 | [NAME]
131 | K5_R
132 | K6_R
133 | [NAME]
134 | L2_F
135 | L3_F
136 | L4_F
137 | [NAME]
138 | L6_F
139 | L1_R
140 | [NAME]
141 | L3_R
142 | L4_R
143 | [NAME]
144 | L6_R
145 | M1_F
146 | M2_F
147 | M3_F
148 | M4_F
149 | M5_F
150 | M6_F
151 | M1_R
152 | M2_R
153 | M3_R
154 | M4_R
155 | M5_R
156 | M6_R
157 | N1_F
158 | N2_F
159 | N3_F
160 | N4_F
161 | [NAME]
162 | [NAME]
163 | N1_R
164 | N2_R
165 | N3_R
166 | N4_R
167 | N5_R
168 | [NAME]
169 | O1_F
170 | O2_F
171 | O3_F
172 | O4_F
173 | O5_F
174 | O6_F
175 | [NAME]
176 | O2_R
177 | O3_R
178 | O4_R
179 | O5_R
180 | O6_R
181 | P1_F
182 | P2_F
183 | P3_F
184 | P4_F
185 | [NAME]
186 | P6_F
187 | P1_R
188 | P2_R
189 | P3_R
190 | P4_R
191 | P5_R
192 | P6_R
193 | Q1_F
194 | Q2_F
195 | Q3_F
196 | Q4_F
197 | Q5_F
198 | Q6_F
199 | Q1_R
200 | Q2_R
201 | [NAME]
202 | Q4_R
203 | [NAME]
204 | [NAME]
205 | R1_F
206 | R2_F
207 | [NAME]
208 | R4_F
209 | R5_F
210 | R6_F
211 | R1_Q
212 | R2_Q
213 | [NAME]
214 | R4_Q
215 | R5_Q
216 | R6_Q
217 | S1_F
218 | S2_F
219 | [NAME]
220 | S4_F
221 | S5_F
222 | S6_F
223 | S1_R
224 | S2_R
225 | S3_R
226 | S4_R
227 | [NAME]
228 | S6_R
229 | T1_F
230 | T2_F
231 | T3_F
232 | T4_F
233 | T5_F
234 | T6_F
235 | T1_R
236 | T2_R
237 | T3_R
238 | T4_R
239 | [NAME]
240 | [NAME]
241 | U1_F
242 | [NAME]
243 | U3_F
244 | U4_F
245 | U5_F
246 | U6_F
247 | U1_R
248 | U2_R
249 | U3_R
250 | U4_R
251 | [NAME]
252 | U6_R
253 | V1_F
254 | V2_F
255 | [NAME]
256 | V4_F
257 | V5_F
258 | [NAME]
259 | V1_R
260 | V2_R
261 | V3_R
262 | V4_R
263 | [NAME]
264 | V6_R
Spreadsheet: 121b66e9-db4f-4a3c-aeee-2152db8d79f2
Sheet: 4

 | Jan 4 |  | Jan 11 |  | Jan 18 |  | Jan 25
 | Long | Short | Long | Short | Long | Short | Long | Short
Total Interest Rate* | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs** | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Credit | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Equity | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Weekly snapshot, net notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, cleared and uncleared.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: mary_fischer__25822__Analysis of Changes
Sheet: Equity Earnings

Enron Corp & Subs
2nd Current Estimate
Equity Earnings
 |  | 2nd CE |  | 1st CE |  | Difference |  | Contact |  | Explanation
CE & Plan Reclasses |  | 0 |  | 0
Corp & Other* |  | 105 |  | 34199 |  |  |  | [NAME] |  | Project Tammy Incorrectly Booked Here @ 1CE
EBS |  | 0 |  | 0
ECM - Wholesale |  | -198 |  | -131
EE&CC |  | 0 |  | 0
EES** |  | 0 |  | 0
EGA |  | -48614 |  | 0 |  |  |  | [NAME]
EGM |  | 576 |  | -658
EGEP |  | 0 |  | 0
EIM |  | 0 |  | -923
Enron Americas |  | 5949 |  | 8924
Enron Networks |  | 0 |  | 0
ETS |  | -13125 |  | -13304
Europe*** |  | -1370 |  | 2391
PGE |  | -60 |  | 0
Wholesale Other |  | 0 |  | 0
Grand Total
*For comparison purposes, includes EREC, Finance, Overview, & Clean Fuels
**For comparison purposes, includes EES-Retail & EES-Wholesale
***For comparison purposes, includes CATS/Margaux & Middle East
Spreadsheet: 220458d1363173726-find-text-within-column-example2
Sheet: Sheet1

 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | Drema Stumpf
 |  | Blair Mosqueda
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | Gustavo Henricks
 |  | Annamae Sciacca
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | Erika Fortune
 |  | [NAME]
 |  | [NAME]
 |  | [NAME]
 |  | Claudia Culver
 |  | [NAME]
 |  | Dixie Mallory
 |  | Bethel Fulop
 |  | [NAME]
Spreadsheet: 454930d1460034696-comparing-multiple-sets-of-data-and-returning-appropriate-cell-ets3
Sheet: PCA Time Sheet

 | 2016-05-01 00:00:00 | 2016-05-02 00:00:00 | 2016-05-03 00:00:00 | 2016-05-04 00:00:00 | 2016-05-05 00:00:00 | 2016-05-06 00:00:00 | 2016-05-07 00:00:00 | 2016-05-08 00:00:00 | 2016-05-09 00:00:00 | 2016-05-10 00:00:00 | 2016-05-11 00:00:00 | 2016-05-12 00:00:00 | 2016-05-13 00:00:00 | 2016-05-14 00:00:00 | 2016-05-15 00:00:00 | 2016-05-16 00:00:00 | 2016-05-17 00:00:00 | 2016-05-18 00:00:00 | 2016-05-19 00:00:00 | 2016-05-20 00:00:00 | 2016-05-21 00:00:00 | 2016-05-22 00:00:00 | 2016-05-23 00:00:00 | 2016-05-24 00:00:00 | 2016-05-25 00:00:00 | 2016-05-26 00:00:00 | 2016-05-27 00:00:00 | 2016-05-28 00:00:00
[NAME]
Carol
[NAME]
Dale
[NAME]
Dennis
Dwan
[NAME]
George
[NAME]
[NAME]
[NAME]
Rashida
[NAME]
[NAME]
[NAME]
Shift Count Per Day
3A-7A
7A-11A
11A-3P
3P-7P
7P-11P
11P-3A
Spreadsheet: 52947d1252847961-formula-for-add-numbers-in-cell-game
Sheet: Sheet1

Very intelligent game
 |  |  |  |  |  | a | 1
word |  |  | total Numbers |  |  | b | 2
hand |  | 8+1+14+4 | 27 |  |  | c | 3
 |  |  |  |  |  | d | 4
 |  |  |  |  |  | e | 5
 |  |  |  |  |  | f | 6
 |  |  |  |  |  | g | 7
Note…. For every Alphabet you assign a number as in row G and H, need formula for sum of those numbers in D5 |  |  |  |  |  | h | 8
 |  |  |  |  |  | j | 9
 |  |  |  |  |  | i | 10
 |  |  |  |  |  | k | 11
 |  |  |  |  |  | l | 12
 |  |  |  |  |  | m | 13
 |  |  |  |  |  | n | 14
 |  |  |  |  |  | o | 15
 |  |  |  |  |  | p | 16
 |  |  |  |  |  | q | 17
 |  |  |  |  |  | r | 18
 |  |  |  |  |  | s | 19
 |  |  |  |  |  | t | 20
 |  |  |  |  |  | u | 21
 |  |  |  |  |  | v | 22
 |  |  |  |  |  | w | 23
 |  |  |  |  |  | x | 24
 |  |  |  |  |  | y | 25
 |  |  |  |  |  | z | 26
Spreadsheet: 867072d1713966393-averaging-the-last-4-weeks-average_4weeks-etaf
Sheet: Sheet1

2024-01-01 00:00:00 | 1
2024-02-02 00:00:00 | 2
2024-03-05 00:00:00 | 3
2024-04-06 00:00:00 | 4
2024-05-08 00:00:00 | 5
2024-06-09 00:00:00 | 6
2024-07-11 00:00:00 | 7
2024-08-12 00:00:00 | 8
2024-09-13 00:00:00 | 9
2024-10-15 00:00:00 | 10
2024-11-16 00:00:00 | 11
2024-12-18 00:00:00 | 12
Spreadsheet: 86577d1286525343-inventory-stock1
Sheet: TV's

S.NO | DESCRIPTION | MODEL NO | SERIAL NO | QTY | FINISH
1 | Panasonic  42" Viera Plasma TV | TH-P42C10D | YTOBGA01091 | 1 | BLACK
2 | Adnotum Mirror TV |  |  | 2
3 | Sony  LCD TV | 26BX300 |  | 9
 | BACK