tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: e74bb09d-6824-4000-8335-5862372a8f1e
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
7769 | 57002 | Lothar | Bathe | GER | 0 | [NAME] | 00:01:23 | 02:00:31 | 00:01:36 | 00:39:45 | 1 | 03:54:47
Spreadsheet: 153375d1335887319-populating-info-from-pivot-table-copy-of-example1-2
Sheet: Pivot

City | Issue | Sum of Balance |  | City | Issue | Sum of Balance
[NAME] | 1 | 143 |  | [NAME] | 1 | 143
[NAME] | 2 | 149 |  | [NAME] | 2 | 149
[NAME] | 3 | 193 |  | [NAME] | 3 | 193
Boston | 1 | 168 |  | Boston | 1 | 168
Boston | 2 | 179 |  | Boston | 2 | 179
Boston | 3 | 227 |  | Boston | 3 | 227
Dallas | 1 | 170 |  | Dallas | 1 | 170
Dallas | 2 | 146 |  | Dallas | 2 | 146
Dallas | 3 | 143 |  | Dallas | 3 | 143
Miami | 1 | 197 |  | Miami | 1 | 197
Miami | 2 | 157 |  | Miami | 2 | 157
Miami | 3 | 144 |  | Miami | 3 | 144
New York | 1 | 168 |  | New York | 1 | 168
New York | 2 | 152 |  | New York | 2 | 152
New York | 3 | 175 |  | New York | 3 | 175
San Francisco | 1 | 202 |  | San Francisco | 1 | 202
San Francisco | 2 | 227 |  | San Francisco | 2 | 227
San Francisco | 3 | 200 |  | San Francisco | 3 | 200
(blank)
Spreadsheet: 864566d1711692358-condition-formula-severance-pay
Sheet: Sheet1

STAFF NAME | APPOINTMENT DATE | Termination Date | Monthly Salary | Service Time(Years) | Answer | All in One String
Stephen | 2012-08-09 00:00:00 | 2024-06-30 00:00:00 | 10000
Agnes | 2017-05-01 00:00:00 | 2024-06-30 00:00:00 | 8000
[NAME] | 2021-04-01 00:00:00 | 2024-06-30 00:00:00 | 7000
Innocent | 2023-12-18 00:00:00 | 2024-06-30 00:00:00 | 2000
 | Condition | Entitlement
 | more than 6 months but less than 1 year | 2 Weeks pay | 0.5 |  | < 2wks are not = 1/2 month. If half a month change to 0.5
 | more than 12 months but less than 5 years | 1 Months pay | 1 | 1
 | more than 5 years but less than 10 years | 2 Months pay | 5 | 2
 | 10 years or more | 3 Months Pay | 10 | 3
Spreadsheet: 154935d1336611061-dynamic-format-copying-payments_v6-1-
Sheet: Sheet1

 | Due Now | Due Next Month | Due In Two Months |  | Current Month
 |  |  |  | 2012
 |  |  | Total
Item | Project Ref. | Project Name | Lease Signed | 2012-01-01 00:00:00 | 2012-02-01 00:00:00 | 2012-03-01 00:00:00 | 2012-04-01 00:00:00 | 2012-05-01 00:00:00 | 2012-06-01 00:00:00 | 2012-07-01 00:00:00 | 2012-08-01 00:00:00 | 2012-09-01 00:00:00 | 2012-10-01 00:00:00 | 2012-11-01 00:00:00 | 2012-12-01 00:00:00
1 |  |  |  |  |  |  | 475 |  |  |  |  |  | 475
2
3
4
5
6 |  |  |  |  |  |  |  |  |  | 12000 |  |  |  | 12000
7
8 |  |  |  | 3850 |  |  |  |  |  | 3850
9 |  |  |  | 3325 |  |  |  |  |  | 3325
10 |  |  |  | 3950 |  |  |  |  |  | 3950
11 |  |  |  |  |  | 4571.252 |  |  |  |  |  | 4571.252
12 |  |  |  |  |  | 3382.75 |  |  |  |  |  | 3382.75
13 |  |  |  |  |  | 21273 |  |  |  |  |  | 21273
14 |  |  |  |  |  | 4711 |  |  |  |  |  | 4711
15 |  |  |  |  |  |  |  |  | 2900 |  |  |  |  |  | 2900
16
17 |  |  |  | 2000 |  |  |  |  |  | 2000
18 |  |  |  |  |  | 2975 |  |  |  |  |  | 2975
19
20 |  |  |  |  |  |  |  |  |  | 2000 |  |  |  | 2000
21
22 |  |  |  | 1450 |  |  |  |  |  | 1450
23
24 |  |  |  |  | 3000 |  |  |  |  |  | 3000
25 |  |  |  | 475 |  |  |  |  |  | 475
27
28
29
30
33
34
35
36
37
38 |  |  |  |  |  | 10000 |  |  |  |  |  | 10000
39
40
41
42
43
44
45 |  |  |  |  | 3700 |  |  |  |  |  | 3700
47 |  |  |  |  |  |  |  | 5000 |  |  |  |  |  | 5000
Spreadsheet: 859248d1707716874-multiple-choice-data-stack-up-under-specific-column-along-multiple-box-expected-outcome
Sheet: Sheet0

Recipient Last Name | Recipient First Name | Recipient Email | User Language | 1- What department are you in? - Selected Choice | 1- What department are you in? - Other - Text | 2- Are you responsible for submitting CCTs? | 3- What is your job title/role? - Selected Choice | 3- What is your job title/role? - Other - Text | 4- List the study ID(s) that require modification | 5- Is there anything else you would like to share with us? | Test - Selected Choice | Test - Please enter study ID1 - Text | Test - Please enter study ID2 - Text | Test - Please enter study [NAME]
Mac | Nina | [EMAIL] | EN | Dermatology - Research |  | Yes | Pharmacist |  | 20121-09586
Mac | Nina | [EMAIL] | EN | Dermatology - Research |  | Yes | Pharmacist |  | 2024-00010
Mac | Nina | [EMAIL] | EN | Dermatology - Research |  | Yes | Pharmacist |  | 2025-0989
Mac | Nina | [EMAIL] | EN | Dermatology - Research |  | Yes | Pharmacist |  | 10234-0987
Spreadsheet: 42402d1240984175-excel-enquiry-over-multiple-sheets-sample-1
Sheet: Texas

 |  |  |  |  |  | Qtr 1 | Qtr 2 | Qtr 3 | Qtr 4 | Total |  | Operation | Project | Process | Category | Object | Component | Code
 | Data group 1
 |  | Data group 1 sub 1
 |  |  | Data line 1 |  |  | 157 | 60 | 86 | 125 | 428 |  | 16 | 47 | 11 | 11 | 10 | 11 | [PHONE]
 |  |  | Data line 2 |  |  | 95 | 75 | 48 | 98 | 316 |  | 16 | 47 | 11 | 11 | 47 | 12 | [PHONE]
 |  |  | Data line 3 |  |  | 41 | 44 | 127 | 126 | 338 |  | 16 | 47 | 11 | 11 | 10 | 12 | [PHONE]
 |  | Data group 1 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 36 | 77 | 16 | 142 | 271 |  | 16 | 47 | 12 | 11 | 47 | 12 | [PHONE]
 |  |  | Data line 2 |  |  | 3 | 80 | 14 | 15 | 112 |  | 16 | 47 | 12 | 11 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 39 | 7 | 40 | 51 | 137 |  | 16 | 47 | 12 | 13 | 15 | 16 | [PHONE]
 | Data group 2 |  |  |  |  |  |  |  |  | 0
 |  | Data group 2 sub 1 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 131 | 76 | 25 | 22 | 254 |  | 16 | 47 | 11 | 12 | 47 | 12 | [PHONE]
 |  |  | Data line 2 |  |  | 10 | 53 | 147 | 30 | 240 |  | 16 | 47 | 12 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 42 | 32 | 100 | 116 | 290 |  | 16 | 47 | 13 | 12 | 15 | 16 | [PHONE]
 |  | Data group 2 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 84 | 140 | 54 | 151 | 429 |  | 16 | 47 | 15 | 11 | 13 | 14 | [PHONE]
 |  |  | Data line 2 |  |  | 65 | 158 | 94 | 43 | 360 |  | 16 | 47 | 16 | 12 | 15 | 16 | [PHONE]
 |  |  | Data line 3 |  |  | 37 | 118 | 5 | 117 | 277 |  | 16 | 47 | 16 | 13 | 47 | 12 | [PHONE]
 | Data group 3 |  |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 38 | 162 | 50 | 141 | 391 |  | 16 | 13 | 12 | 13 | 15 | 16 | [PHONE]
 |  |  | Data line 2 |  |  | 156 | 49 | 90 | 29 | 324 |  | 16 | 13 | 12 | 12 | 47 | 12 | [PHONE]
 |  |  | Data line 3 |  |  | 55 | 149 | 128 | 120 | 452 |  | 16 | 13 | 12 | 11 | 13 | 14 | [PHONE]
 | Data group 4 |  |  |  |  |  |  |  |  | 0
 |  | Data group 4 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 23 | 74 | 19 | 107 | 223 |  | 16 | 15 | 13 | 14 | 47 | 12 | [PHONE]
 |  |  | Data line 2 |  |  | 59 | 72 | 56 | 27 | 214 |  | 16 | 15 | 13 | 16 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 115 | 82 | 73 | 66 | 336 |  | 16 | 15 | 13 | 16 | 15 | 16 | [PHONE]
 |  |  | Data line 4 |  |  | 47 | 135 | 143 | 146 | 471 |  | 16 | 15 | 13 | 11 | 47 | 12 | [PHONE]
 |  |  | Data line 5 |  |  | 35 | 112 | 17 | 113 | 277 |  | 16 | 15 | 13 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 6 |  |  | 92 | 64 | 163 | 160 | 479 |  | 16 | 15 | 13 | 15 | 15 | 14 | [PHONE]
Spreadsheet: 116481d1311862863-how-to-match-a-value-appearing-several-times-in-the-rang-with-multiple-combination-price-list
Sheet: Sheet1

type | part no | class | Unit Price | Key |  |  | type | NJ | NJ
NJ | 202 |  |  | NJ-202- |  |  | PART NO | G4 TO G8 | G4 TO G8
NJ | 202 | E | 3.8868 | NJ-202-E |  |  | CLASS | E
NJ | 202 | EM | 4.5264 | [NAME] |  | PART NO
NU | 202 | E | 3.6408 | NU-202-E |  | 202 |  | 3.8868 | 0
NU | 202 | EM | 4.231199999999999 | NU-202-EM |  | 203 |  | #N/A | 4.1205
NU | 202 | EMA | 4.231199999999999 | NU-202-EMA |  | 204 |  | 4.686299999999999 | 4.255799999999999
NU | 202 | ETN | 3.6408 | NU-202-ETN |  | 205 |  | 5.018399999999999 | 4.563299999999999
NJ | 203 |  | 4.1205 | NJ-203- |  | 206 |  | 5.793299999999999 | 5.264399999999999
NJ | 203 | EM | 5.276699999999999 | NJ-203-EM
NJ | 203 | EMA | 5.276699999999999 | NJ-203-EMA
NU | 203 |  | 3.8007 | NU-203-
NU | 203 | EM | 4.870799999999999 | NU-203-EM
NU | 203 | EMA | 4.870799999999999 | NU-203-EMA
NU | 203 | ETN | 4.181999999999999 | NU-203-ETN
NUP | 203 |  | 4.723199999999999 | NUP-203-
NUP | 203 | ETN | 5.190599999999999 | NUP-203-ETN
NJ | 204 |  | 4.255799999999999 | NJ-204-
NJ | 204 | E | 4.686299999999999 | NJ-204-E
NJ | 204 | EM | 5.448899999999999 | NJ-204-EM
NJ | 204 | EMA | 5.448899999999999 | NJ-204-EMA
NJ | 204 | ETN | 4.686299999999999 | NJ-204-ETN
NU | 204 |  | 3.8007 | NU-204-
NU | 204 | E | 4.181999999999999 | NU-204-E
NU | 204 | EM | 4.8585 | [NAME]
NU | 204 | EMA | 4.8585 | NU-204-EMA
NU | 204 | ETN | 4.181999999999999 | NU-204-ETN
NUB | 204 | E | 5.092199999999999 | NUB-204-E
NUP | 204 | E | 5.707199999999999 | NUP-204-E
NUP | 204 | EMA | 6.642 | NUP-204-EMA
NUP | 204 | ETN | 5.707199999999999 | NUP-204-ETN
NJ | 205 |  | 4.563299999999999 | [NAME]
NJ | 205 | E | 5.018399999999999 | NJ-205-E
NJ | 205 | EM | 5.842499999999999 | NJ-205-EM
NJ | 205 | EMA | 5.842499999999999 | NJ-205-EMA
NJ | 205 | ETN | 5.018399999999999 | NJ-205-ETN
NU | 205 |  | 4.058999999999999 | NU-205-
NU | 205 | E | 4.464899999999999 | NU-205-E
NU | 205 | EM | 5.2029 | NU-205-EM
NU | 205 | EMA | 5.2029 | NU-205-EMA
NU | 205 | ETN | 4.464899999999999 | NU-205-ETN
NUB | 205 | E | 5.3628 | NUB-205-E
NUP | 205 | E | 6.027 | NUP-205-E
NUP | 205 | EM | 7.023299999999999 | NUP-205-EM
NUP | 205 | EMA | 7.023299999999999 | NUP-205-EMA
NUP | 205 | ETN | 6.027 | NUP-205-ETN
NJ | 206 |  | 5.264399999999999 | NJ-206-
NJ | 206 | E | 5.793299999999999 | NJ-206-E
NJ | 206 | EM | 6.7404 | NJ-206-EM
NJ | 206 | EMA | 6.7404 | NJ-206-EMA
NJ | 206 | ETN | 5.793299999999999 | NJ-206-ETN
NU | 206 |  | 4.7601 | NU-206-
NU | 206 | E | 5.239799999999999 | NU-206-E
NU | 206 | EK | 5.239799999999999 | NU-206-EK
NU | 206 | EM | 6.1008 | NU-206-EM
NU | 206 | EMA | 6.1008 | NU-206-EMA
NU | 206 | ETN | 5.239799999999999 | NU-206-ETN
NU | 206 | ETNK | 5.239799999999999 | NU-206-ETNK
NUB | 206 | E | 5.9655 | NUB-206-E
NUP | 206 |  | 6.1254 | NUP-206-
NUP | 206 | E | 6.7404 | NUP-206-E
NUP | 206 | M | 7.650599999999998 | NUP-206-M
NUP | 206 | EM | 7.835099999999999 | NUP-206-EM
NUP | 206 | EMA | 7.835099999999999 | NUP-206-EMA
NUP | 206 | ETN | 6.7404 | NUP-206-ETN
Spreadsheet: 117125d1312467004-selective-columns-farthingstone-updated-old-format-
Sheet: hb

Huckstepp. [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAPPING
hole | par | stroke index | adjusted par | pts calc | [NAME] | strokes | points | PAR 3 | INDEX 1 | INDEX 2 | INDEX 3 | adjusted par | pts calc | [NAME] | points | handicap | handicap | handicap | catergory | Buffer Zone | css | Nett Differential | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nett | Nett
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | points | points
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 18 | 36
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
total
Spreadsheet: 779603d1651893786-lookup-function-with-4-different-parameters-milestone-calculator
Sheet: Calculation

 | 1 | 2 | 3 | 4
 | Duration Small, low prio | Duration Small, high prio | Duration large, low prio | Duration large, high prio
Milestone 1 | 2 | 3 | 4 | 5
Milestone 2 | 1 | 2 | 4 | 5
Milestone 3 | 3 | 3 | 5 | 6
Milestone 4 | 4 | 4 | 6 | 6
Milestone 5 | 5 | 6 | 8 | 9
Milestone 6 | 5 | 7 | 9 | 9
Milestone 7 | 6 | 7 | 9 | 10
Milestone 8 | 5 | 5 | 8 | 11
Milestone 9 | 3 | 4 | 6 | 7
Milestone 10 | 2 | 3 | 5 | 5
How many time before end does it start
 | Duration Small, low prio | Duration Small, high prio | Duration large, low prio | Duration large, high prio
Milestone 1
Milestone 2
Milestone 3
Milestone 4
Milestone 5
Milestone 6
Milestone 7
Milestone 8
Milestone 9
Milestone 10
Spreadsheet: 142712d1329983160-need-help-with-a-complex-graph-in-excel-with-filter-interest-development-graph
Sheet: Sheet1

Bank | Product | Interest rate | Effective date
A | Personal loan | 0.07 | 2011-06-12 00:00:00
A | Personal loan | 0.07 | 2012-02-21 00:00:00
A | Personal loan | 0.0725 | 2012-02-21 00:00:00
A | Personal loan | 0.0725 | 2012-06-30 00:00:00
A | Time deposit | 0.04 | 2011-06-12 00:00:00
A | Time deposit | 0.04 | 2012-02-21 00:00:00
A | Time deposit | 0.0375 | 2012-02-21 00:00:00
A | Time deposit | 0.0375 | 2012-06-30 00:00:00
B | Personal loan | 0.075 | 2011-06-12 00:00:00
B | Personal loan | 0.075 | 2011-12-30 00:00:00
B | Personal loan | 0.0735 | 2011-12-30 00:00:00
B | Personal loan | 0.0735 | 2012-06-30 00:00:00
B | Time deposit | 0.0275 | 2011-06-12 00:00:00
B | Time deposit | 0.0275 | 2012-01-14 00:00:00
B | Time deposit | 0.0295 | 2012-01-14 00:00:00
B | Time deposit | 0.0295 | 2012-06-30 00:00:00
Spreadsheet: 50121d1249510764-data-transfer-what-i-would-like-to-be-able-to-do-formletter
Sheet: HelpSheet

 |  | I n s t r u c t i o n s
 | ü | Overview
 |  | This application makes it easy to print form letters for
 |  | Elephants R Us.
 | ü | Specifying What to Print
 |  | Enter the first record to be printed in cell C4, and the last record to be
 |  | printed in cell C5. To print only one record, enter the same number in
 |  | cells C4 and C5.
 | ü | Printing Form Letters
 |  | To print form letters, first make sure that you've specifed the first and
 |  | last records to be printed. Then click the button labeled Print the Form
 |  | Letters.
 | ü | Viewing or Editing Data
 |  | Viewing or Editing Data: Click the button labeled View or Edit Data.
 |  | This will activate the Data worksheet where you can view or edit the
 |  | records.
 | ü | Viewing a Specific Record in the Form
 |  | Viewing a Specific Record in the Form: The data displayed in the form
 |  | letter corresponds to the record specified in cell [NAME]. If you would like to
 |  | view a particular record, enter the record number in cell [NAME].
 |  | End of Help
Spreadsheet: 860255d1708427323-formula-that-gives-different-results-according-to-the-selected-client-profile-formula
Sheet: Dashboard

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Profile A
 |  | Type | Profile A |  |  |  |  |  |  |  |  |  |  |  |  | Profile B
 |  | Result
 |  |  |  | 0.07 |  |  |  |  | 0.25 |  |  |  | Low
 |  |  |  | 0.07 |  |  |  |  | 0.25 |  |  |  | Low
 |  |  |  | 0.07 |  |  |  |  | 0.25 |  |  |  | Low
 |  |  |  | 0.07 |  |  |  |  | 0.25 |  |  |  | Low
 |  |  |  | 0.05 |  |  |  |  | 0.25 |  |  |  | 0 | to escalate to CAC
 |  |  |  | 0.1 |  |  |  |  | 0.25 |  |  |  | Low | to escalate to CAC
 |  |  |  | 0.05 |  |  |  |  | 0.25 |  |  |  | Low
 |  |  |  | 0.08 |  |  |  |  | 0.1
 |  |  |  | 0.05 |  |  |  |  | 0.25
 |  |  |  | 0.03 |  |  |  |  | 0
 |  |  |  | 0.03 |  |  |  |  | 0
 |  |  |  | 0.05 |  |  |  |  | 0.25
 |  |  |  | 0.07 |  |  |  |  | 1
 |  |  |  | 0.1 |  |  |  |  | 0.25
 |  |  |  | 0.11 |  |  |  |  | 0.25
 |  |  |  |  |  |  |  |  |  |  | Profile A
 |  |  |  |  |  |  |  | Total Score |  |  |  | Risk Score (Range) | LB (Parameter) | UB (Parameter) |  | Classification | score adjustment
 |  |  |  |  |  |  | Score: |  |  |  | Extreme | 80.01-100 | 80.01 | 100 |  | Prohibited | 2
 |  |  |  |  |  |  | Risk Rating : |  |  |  | High Risk | 60.01 - 80.00 | 60.01 | 80 |  | Very High | 2
 |  |  |  |  |  |  |  |  |  |  | Medium Risk | 45.01 - 60.00 | 45.01 | 60 |  | High | 1
 |  |  |  |  |  |  |  |  |  |  | Low Risk | 25.85 - 45.00 | 25.85 | 45 |  | Medium | -1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Low | -2
 |  |  |  |  |  |  | Action |  |  |  | Profile B |  |  |  |  | N/A | 0
 |  |  |  |  |  |  |  |  |  |  |  | Risk Score (Range) | LB (Parameter) | UB (Parameter)
 |  |  |  |  |  |  |  |  |  |  | Extreme | 80.01-100 | 80.01 | 100
 |  |  |  |  |  |  |  |  |  |  | High Risk | 65.01 - 80.00 | 65.01 | 80
 |  |  |  |  |  |  |  |  |  |  | Medium Risk | 50.01 - 65.00 | 50.01 | 65
 |  |  |  |  |  |  |  |  |  |  | Low Risk | 25.85 -50.00 | 25.85 | 50
 | Andorra
 | Andorra
 | Andorra
 | Andorra
 | Andorra
 | Andorra
 | Andorra
Spreadsheet: 858844d1707366649-automating-analysis-of-survey-results-test-book-1-
Sheet: Sheet1

Type of [NAME] |  |  |  |  |  |  | Responses |  |  |  |  |  | Analysis
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Theme: Fruit | Theme: Vegetable | Theme: Sweets
Pilot | Dr | Chef |  |  |  |  | Response | Theme: Fruit | Theme: Vegatable | Theme: Sweets |  |  | Pilots
Pilot |  |  |  |  |  |  | I like apples | 1 |  |  |  |  | Drs
 | Dr | Chef |  |  |  |  | Please eat oranges. | 1 |  |  |  |  | Chefs
 | Dr |  |  |  |  |  | I like fruit | 1 |  |  |  |  | Other
 |  | Chef |  |  |  |  | I use potatoes |  | 1
Pilot |  |  |  |  |  |  | I have a dog.
 |  |  |  |  |  |  | I eat candy and I dislike fruit | 1 |  | 1
Pilot
Pilot | Dr | Chef |  |  |  |  | I dislike chocolate |  |  | 1
 |  |  |  |  |  |  | Carrots improve my eyesight |  | 1
 | Dr |  |  |  |  |  | Please eat vegetables and fruit | 1 | 1
 |  | Chef |  |  |  |  | I cook apple and toffee pie | 1 |  | 1
Spreadsheet: jason_wolfe__13349__Matrix032701
Sheet: CENTRAL REGION

Pipeline | Logistics/Primary | Ext. | Logistics/Secondary | Ext. | Deal Validation/EOL | Ext. | Deal Validation/Telephonic | Ext. | Vol. Control/Primary | Ext.
ANR Field Services | [NAME] | 37028 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 53226
[NAME] | [NAME] | 37028 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 53226
Consumer's Energy Co. | [NAME] | 34572 | [NAME] | 53218 | [NAME] | 33818 | [NAME] | 33048 | N/A
Empire | [NAME] | 37587 | [NAME] | 37028 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 53226
Enogex | [NAME] | 37164 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 31582
Enron Gas Gathering | Teresa [NAME] | 31848 | Teresa [NAME] | 31848 | [NAME] | 33818 | [NAME] | 33048 | N/A
GPM Gas/GPM | Teresa [NAME] | 31848 | Teresa [NAME] | 31848 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 33965
Great Lakes Gas Transmission | [NAME] | 37028 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 33965
Michcon | Margie Straight | 37837 | [NAME] | 39138 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 33965
Mississippi River | [NAME] | 34572 | [NAME] | 34572 | [NAME] | 33818 | [NAME] | 33048 | N/A
Natural Gas Pipeline | [NAME] | 53218 | [NAME] | 37580 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34668
NorAm Field Services | [NAME] | 34572 | Margie Straight | 37837 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 53226
NorAm (ARKLA) | [NAME] | 34572 | Margie Straight | 37837 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 53226
Northern Border | Teresa [NAME] | 31848 | [NAME] | 31520 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 37516
Northern Natural Gas | Teresa [NAME] | 31848 | [NAME] | 31520 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34780
Northern Illinois Gas Company | [NAME] | 53218 | Margie Straight | 37837 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34707
Northern Indiana Public Service Co. | [NAME] | 37164 | [NAME] | 39138 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34707
Oklahoma Natural Gas | [NAME] | 37164 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34780
Panhandle Eastern Pipeline | [NAME] | 37164 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34707
Panhandle Field Services | [NAME] | 37164 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34707
TCPL | [NAME] | 36958 | [NAME] | 31520 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 37516
The People's Gas Light & Coke | [NAME] | 39138 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 54668
Transok | [NAME] | 37164 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34707
Trunkline | [NAME] | 34572 | [NAME] | 37164 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 37516
Union | [NAME] | 36958 | [NAME] | 31520 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 37516
Williams Natural Gas | [NAME] | 37164 | [NAME] | 37587 | [NAME] | 33818 | [NAME] | 33048 | [NAME] | 34780
Spreadsheet: 161304d1339487930-index-match-jump-to-next-column-if-value-already-used-book1
Sheet: Sheet1

Ranking List | Result
Data 1 | Data 2 | Tie Breaker
128 | [NAME]
102 | [NAME]
47 | [NAME]
30 | Klaus
28 | Fritz
25 | Roland
22 | Sepp
18 | Pascal
18 | [NAME]
15 | Marina
18 | FixandFoxi
Spreadsheet: 02e04638-9972-4f03-adce-14bdb7aefcd9
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
TIRU | Test | TIRU | Titanium, Random, [NAME] | Titanium, Random, U | Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) | [NAME]: NO Metal cap or glued insert |  |  | 2 | mL | Collection Container/Tube: Clean, plastic urine collection container Submission Container/Tube: Plastic, 6-mL tube (Supply T465) or clean, plastic aliquot container with no metal cap or glued insert  [NAME]: 2 mL Collection Instructions:  1. Collect a random urine specimen. 2. See Metals Analysis-Collection and Transport in Special Instructions for complete instructions. Additional Information: High concentrations of gadolinium and iodine are known to interfere with most metals tests. If either gadolinium- or iodine-containing contrast media has been administered, a specimen should not be collected for 96 hours. | 1 mL | Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icterus	NA Other	NA | 0-2 mcg/L | Thursday; 5 p.m. | Same day/1 day | 7 days | 1 | 83789 |  |  |  |  | Rochester
TIRU | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 28 days
TIRU | Result | 89529 | Titanium, Random, U | Titanium, Random, U | Numeric |  |  |  |  | mcg/L |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 41597d1240126346-how-to-re-divide-the-data-at-the-same-time-interval-680261_wetlander
Sheet: Sheet1

4 | 2008-04-02 07:00:00 | 1.999999999941792 |  | 4 | 2008-04-02 07:00:00
12 | 2008-04-02 11:00:00 | -3 |  | 5.999999999941792 | 2008-04-02 08:00:00
3 | 2008-04-02 14:00:00 | 4.000000000232831 |  | 7.999999999883585 | 2008-04-02 09:00:00
11 | 2008-04-02 16:00:00 | 1.159144172244609e-05 |  | 9.999999999825377 | 2008-04-02 10:00:00
 |  |  |  | 12 | 2008-04-02 11:00:00
 |  |  |  | 9 | 2008-04-02 12:00:00
 |  |  |  | 6 | 2008-04-02 13:00:00
 |  |  |  | 3 | 2008-04-02 14:00:00
 |  |  |  | 7.000000000232831 | 2008-04-02 15:00:00
 |  |  |  | 11 | 2008-04-02 16:00:00
Spreadsheet: 469278d1467841955-need-true-vlookup-to-be-more-specific-help
Sheet: Report

 |  | Example outcome |  |  |  |  |  | Example Source
 |  |  |  |  |  |  |  |  | 2015 | 2016
 |  | BLOOMBERG/GLOBAL/GP | 2016 |  |  |  |  | Blackrock/Gp  (#340965) | 100 | 52
 |  |  | 2015 |  |  |  |  | Bloomberg Financial Markets/Global/Gp  (#266027) | 3500 | 3000
 |  | DELOITTE/GLOBAL/GP | 2016 |  |  |  |  | [NAME]  (#91481) | 20 | 25
 |  |  | 2015 |  |  |  |  | Deloitte/Global/Gp  (#7770781) | 4500 | 3500
 |  | ROPES AND GRAY/SP | 2016 |  |  |  |  | Rolls Royce/Sp  (#298022) | 15 | 30
 |  |  | 2015 |  |  |  |  | Ropes And Gray/Sp  (#279328) | 600 | 500
Spreadsheet: 292915d1390833801-combine-two-tables-to-one-jan27-excel-forum-example
Sheet: Sheet1

 |  |  |  |  |  |  | 2013-11-30 00:00:00 |  |  | 5 | 5 | 123.88 |  | 2013-11-23 00:00:00 |  |  |  | 5 | 111.66
 |  |  |  |  |  |  | 2013-12-01 00:00:00 |  |  |  |  | 212 |  | 2013-12-15 00:00:00 |  |  |  |  | 351
 |  |  |  |  |  |  | 2013-12-06 00:00:00 |  |  | 15 |  | 324.66 |  | 2014-01-02 00:00:00 |  |  | 7 |  | 209.34
 |  |  |  |  |  |  | 2013-12-23 00:00:00 |  |  |  |  | 205 |  | 2014-01-13 00:00:00 |  |  |  |  | 108.05
 |  |  |  |  |  |  | 2013-12-30 00:00:00 |  |  |  |  | 145.22
 |  |  |  |  |  |  | 2014-01-02 00:00:00 |  |  | 5 |  | 211.33