tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 05f4773a-a1b5-47eb-a9e7-9596fc4daab1
Sheet: Figure 7B data

year | coppererroraug | fbalt0errorcomb
1990 | -3.802698 | 0.6963379
1991 | 9.627796 | -0.2420529
1992 | -3.363514 | -0.7422547
1993 | 31.97433 | -1.110361
1994 | -19.10716 | -0.1944679
1995 | -15.44733 | -1.130906
1996 | 10.70387 | -0.4418205
1997 | -15.23069 | 0.4317812
1998 | 22.63592 | -0.1053034
1999 | 1.056776 | 0.6513158
2000 | -3.997057 | -0.0693719
2001 | 18.86231 | 0.6623793
2002 | -1.370791 | 1.327657
2003 | -14.64055 | 0.0737995
2004 | -47.39717 | -1.802472
2005 | -36.64627 | -3.027666
2006 | -80.63729 | -4.617418
2007 | -1.676367 | -8.341913
2008 | 2.558646 | 0.2286541
2009 | 31.85247 | 8.096022
Spreadsheet: a7bcd593-92df-46ee-97e7-5634e12bf2ee
Sheet: HS

High School Division
TEAM | Championships | Tourny's | Overall | Overall | Overall |  | Bracket | Bracket
2013-06-03 00:00:00 | Won | played | Win | Loss | Ties |  | Won | Lost
Bartow Intimidators | 1 | 2 | 8 | 3 | 1 |  | 1 | 2
[NAME] |  | 1 | 1 | 3 |  |  | 0 | 1
Florida Misfits |  | 1 | 2 | 1 | 1 |  | 3 | 0
Florida Stingrays |  | 1 | 3 | 2 |  |  | 1 | 1
Fusion |  | 2 | 6 | 4 |  |  | 2 | 2
Lady Angels 16U |  | 1 | 1 | 3 |  |  | 0 | 1
[NAME] | 1 | 1 | 5 | 0 | 1 |  | 0 | 1
Makos 97 |  | 1 | 2 | 2 |  |  | 2 | 0
Osceola Overdrive - Keith |  | 1 | 0 | 4 |  |  | 0 | 1
Osceola Overdrive - Jeraldo |  | 2 | 1 | 7 |  |  | 1 | 2
Polk County Crush | 1 | 1 | 4 | 1 |  |  | 2 | 0
Polk County Lady Dawgs |  | 1 | 1 | 4 |  |  | 2 | 0
[NAME] | 1 | 1 | 5 | 0 |  |  | 1 | 1
Taramac Titians |  | 1 | 1 | 3 |  |  | 0 | 1
Team Extatic |  | 1 | 4 | 1 |  |  | 1 | 1
Twilight Twisters |  | 1 | 2 | 3 |  |  | 1 | 1
Young Guns |  | 1 | 0 | 4 |  |  | 0 | 1
Spreadsheet: 839165d1691703199-function-s-to-compare-and-evaluate-cells-in-two-columns-compare-and-evaluate-cells-solution-
Sheet: Hoja3

D | G
D | H | I
E | G | G
F | H | H
D | G | I
E | G | G
F | H | H
Spreadsheet: 123535d1317722114-recall-data-from-sheet1-to-sheet2-sample-1-
Sheet: Repoting

Customer | Shop ID | Shop Name | Report
XXXXX | SH103 |  | 7892
WWW | SH107 |  | 549
RRRR |  |  | 11444
TTTT |  |  | 55221
HHHH |  |  | 212
IIIII |  |  | 212
OOOO |  |  | 8922
So here is the situation.
i got a list with approximately 40 shop IDs and each ID represents a shop.
Now i want to use that data in another sheet. For example
in the field 'shop id' i want to type the id and then the exact shop name appear in the next cell.
Please see the attached files cos from the post i don’t think that makes much sense.
The values on sheet called 'SHOP ID' will be used on the sheet called 'REPORT' The cells B2:Bn will be the fields that I will enter the shop id from 'SHOP ID'. The cells C2:Cn will be used to shop the shop name that will be retrieved from the 'SHOP ID' sheet.
I hope that my explanation is clear!
Spreadsheet: michelle_lokay__26631__imbalsumm0102
Sheet: GPM

 | 23995 |  | 22051
 | 59687 |  | 10703
Day | Measured | Scheduled | Measured | Scheduled
1 | 25933 | 25000 | 24799 | 24000
2 | 26491 | 25000 | 24763 | 24000
3 | 25000 | 25000 | 24413 | 24000
4 | 24998 | 25000 | 24252 | 24000
5 | 29668 | 25000 | 24253 | 13474
6 | 22932 | 30000 | 24265 | 24000
7 | 24959 | 25000 | 24384 | 24000
8 | 24970 | 25000 | 24256 | 24000
9 | 25008 | 25000 | 24261 | 24000
10 | 23961 | 25000 | 24255 | 24000
11 | 29443 | 25000 | 24275 | 24000
12 | 29467 | 25000 | 24269 | 24000
13 | 30468 | 25000 | 24275 | 24000
14 | 28564 | 25000 | 24288 | 24000
15 | 29888 | 25000 | 25003 | 24000
16 | 29953 | 25000 | 25275 | 24000
17 | 29874 | 25000 | 23873 | 24000
18 | 29851 | 25000 | 25273 | 24000
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-01-31 00:00:00 | Balance | -772485 |  | -63719.29
2001-02-18 00:00:00 | Balance
 | Contract #
 | 22864 |  |  |  | -58339.66 | Zia
 | 20379 |  |  |  | -51695.87 | Grayco/Artesia
 | 21459 |  |  |  | 10570.56
 | 26357 |  |  |  | 44144.84 | [NAME]
 | 21544 |  |  |  | 61340.16 | [NAME], [NAME]
 | 24532 |  |  |  | -347283.29 | 500211,500212,500219,500230 - Coburn points
 | Total Duke
Spreadsheet: 78097d1278523726-extracting-values-greater-than-0-extracting-values
Sheet: All States

All States | State | Sales %
 | AL | 0.36 | 1
 | AK | 0.16 | 2
 | AZ | 0.2 | 3
 | AR | 0.04 | 4
 | CA | 0 | 4
 | CO | 0 | 4
 | CT | 0 | 4
 | DE | 0 | 4
 | FL | 0 | 4
 | GA | 0 | 4
 | HI | 0 | 4
 | ID | 0 | 4
 | IL | 0 | 4
 | IN | 0.24 | 5
 | IA | 0 | 5
 | KS | 0 | 5
 | KY | 0 | 5
 | LA | 0 | 5
 | ME | 0 | 5
 | MD | 0 | 5
 | MA | 0 | 5
 | MI | 0 | 5
 | MN | 0 | 5
 | MS | 0 | 5
 | MO | 0 | 5
 | MT | 0 | 5
 | NE | 0 | 5
 | NV | 0 | 5
 | NH | 0 | 5
 | NJ | 0 | 5
 | NM | 0 | 5
 | NY | 0 | 5
 | NC | 0 | 5
 | ND | 0 | 5
 | OH | 0 | 5
 | OK | 0 | 5
 | OR | 0 | 5
 | PA | 0 | 5
 | RI | 0 | 5
 | SC | 0 | 5
 | SD | 0 | 5
 | TN | 0 | 5
 | TX | 0 | 5
 | UT | 0 | 5
 | VT | 0 | 5
 | VA | 0 | 5
 | WA | 0 | 5
 | WV | 0 | 5
 | WI | 0 | 5
 | WY | 0 | 5
Spreadsheet: 7225a5fa-abac-4a9b-9ee7-85e3346cc82b
Sheet: Sheet1

Release: Housing Units Authorized By Building Permits (Seasonally Adjusted) | Unnamed: 1 | Unnamed: 2
Link: http://alfred.stlouisfed.org/release?rid=246
ALFRED (ArchivaL Federal Reserve Economic Data)
Economic Research Division
Federal Reserve Bank of St. Louis
File Created: 2014-08-01 3:36 AM [NAME]
 | Real-Time | Period
Name: | Start | End
Housing Units Authorized By Building Permits (Seasonally Adjusted) | 2011-12-23 00:00:00 | Current
Link:
http://www.census.gov/construction/bps/ | 2011-12-23 00:00:00 | Current
Source:
Federal Reserve Bank of St. Louis | 2011-12-23 00:00:00 | Current
Notes:
Census data seasonally adjusted by the Federal Reserve Bank of Saint | 2011-12-23 00:00:00 | Current
Louis.
Release Dates Notes:
Release dates are determined by the following process:
When available, the actual release date as provided by the source is
entered into the ALFRED database.  If a release date is not available
from the source, the release date given by our data providers is used.
If a release date cannot be determined either from the source or from
our data providers, the date that the series was first available in
the St. Louis Fed's FRED database is used.
The release date list contains the dates when any series from this
release was revised.  Note that all series from a release do not
necessarily revise on every release date.
Release Dates:
2011-12-23 00:00:00
2012-01-27 00:00:00
2012-02-27 00:00:00
2012-03-26 00:00:00
2012-04-25 00:00:00
2012-05-24 00:00:00
2012-06-26 00:00:00
2012-07-26 00:00:00
2012-08-24 00:00:00
2012-09-27 00:00:00
2012-10-25 00:00:00
2012-11-29 00:00:00
2012-12-28 00:00:00
2013-01-28 00:00:00
2013-02-27 00:00:00
2013-03-26 00:00:00
2013-04-24 00:00:00
2013-05-24 00:00:00
2013-06-26 00:00:00
2013-07-25 00:00:00
2013-08-26 00:00:00
2013-09-26 00:00:00
2013-11-27 00:00:00
2013-12-24 00:00:00
2014-01-28 00:00:00
2014-02-27 00:00:00
2014-03-26 00:00:00
2014-04-24 00:00:00
2014-05-27 00:00:00
2014-06-25 00:00:00
2014-07-25 00:00:00
Spreadsheet: 5e689ed9-413c-451d-aef0-ad3d50d27ee4
Sheet: All You January 2012

All You Coupons January 2012 |  | done 5/31
Coupon Name | Value | Expiration date | Page
ALL YOU Health & Fitness Special | 1 | 2012-04-13 00:00:00 | p. 55
AllWhites® 100% Liquid Egg Whites | 1 | 2012-03-04 00:00:00 | p. 53
ARM & HAMMER® Laundry Detergents | $1/2 | 2012-03-01 00:00:00 | p. 42
BIC Multi-Purpose Lighter | $2.00 on any | 2012-02-15 00:00:00 | p. 8
Carnation® Breakfast Essentials™ product | 1 | 2012-04-15 00:00:00 | p. 46
Centrum ProNutrients | 3 | 2012-03-05 00:00:00 | p. 40
Champion Dried Fruit | 0.5 | 2012-03-15 00:00:00 | p. 70
Cream of Wheat | $1.00 off 2 | 2012-03-31 00:00:00 | p. 10
Dulcolax® | 0.99 | 2012-10-31 00:00:00 | p. 68
[NAME] or Refill | 1 | 2012-05-31 00:00:00 | p. 95
Hidden Summit by [NAME] | 1 | 2012-01-20 00:00:00 | p. 111
Kid Cuisine® meals | $1.00 off any 2 | 2012-02-15 00:00:00 | p. 25
L’il Critters® | 1 | 2012-12-31 00:00:00 | p. 32
Nature’s Path Pumpkin Flax Granola | 1 | 2012-04-30 00:00:00 | p. 77
Oscillococcinum® and All You magazine | $1.00 with the purchase of Oscillococcinum® and All You magazine’s February issue | 2012-02-24 00:00:00 | p. 38
SENTRY® SAFE FIRE-SAFE® | 20 | 2012-03-31 00:00:00 | p. 97
SENTRY® SAFE FIRE CHEST | 10 | 2012-03-31 00:00:00 | p. 97
[NAME] and All You magazine | $1.00 with the purchase of [NAME] and All You magazine’s February issue | 2012-02-24 00:00:00 | p. 38
The Summer Garden and All You magazine | $1.00 with the purchase of The Summer Garden and All You magazine’s February issue | 2012-02-24 00:00:00 | p. 38
Tyson® All Natural Chicken Roast | 1 | 2012-02-28 00:00:00 | p. 13
Vitafusion® and [NAME] | 1 | 2012-12-31 00:00:00 | p. 32
Zipfizz energy mix | 1 | 2012-03-31 00:00:00 | p. 108
Spreadsheet: 855375d1704967269-split-table-for-quicker-searching-and-sorting-prep
Sheet: TableX

xxxx | xxxx2 | xxxx3 | xxxx4 | xxxx5 | xxxx6 | xxxx7 | xxxx8 | [NAME] | xxxx10 | xxxx11 | xxxx12 | [NAME] | xxxx14 | xxxx15 | xxxx16 | xxxx17 | xxxx18 | xxxx19 | xxxx20 | [NAME] | xxxx22
xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx | xxxx
Spreadsheet: 236c35d2-757b-409d-bd23-893413fba63c
Sheet: Sheet1

Appendix 2: OSHA 300 Recordkeeping Forms | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Attention:  This form contains information relating to employee health and must be used in a manner that protects the confidentiality of employees to the extent possible while the information is being used for occupational safety and health purposes. | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Year ___________ | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17
OSHA's Form 300 |  |  |  |  |  |  |  |  |  |  | Department of Consumer & Business Services
Log of Work-Related Injuries and Illnesses |  |  |  |  |  |  |  |  |  |  | Oregon Occupational Safety and Health Division (Oregon OSHA)
You must record information about every work-related death and about every work-related injury or illness that involves loss of consciousness, restricted work activity, or job transfer, days away from work, or medical treatment beyond first aid.  You must also record significant work-related injuries and illnesses that are diagnosed by a physician or licensed health care professional.  You must also record work-related injuries and illnesses that meet any of the specific recording criteria listed in OAR [PHONE].  Use two lines for a single case if you need to.  You must complete the Report of  Injury or Illness (Form 801) or equivalent form for each injury or illness recorded on this form.  If you're not sure whether a case is recordable, call your local Oregon OSHA office for help.
 |  |  |  |  |  |  |  | Establishment name
 |  |  |  |  |  |  |  | City |  |  |  | State
Identify the person |  | Describe the case |  |  |  | Classify the case
 |  |  |  |  |  | Using these four categories, check only the most serious result for each case: |  |  |  | Enter the number of days the injured or ill worker was: |  | Check the "injury" column or choose one type of illness:
(A) | (B) | (C) | (D) | (E) | (F)
Case no. | Employee's name | Job title       (e.g., welder) | Date of injury or of illness | Where the event occurred      (e.g., loading dock north end) | Describe injury or illness, parts of body affected, and object/substance that directly injured or made person ill (e.g., second degree burns on right forearm from acetylene torch)
 |  |  |  |  |  |  |  |  |  |  |  | (M) | Skin disorder | Respiratory condition | Poisoning | Hearing loss | All other illnesses
 |  |  |  |  |  | Death | Days away from work | Remained at work |  | Away from work (days) | On job transfer or restriction (days) | Injury
 |  |  | (mo./day)
 |  |  |  |  |  |  |  | Job transfer or restriction | Other record- able cases
 |  |  |  |  |  | (G) | (H) | (I) | (J) | (K) | (L) | (1) | (2) | (3) | (4) | (5) | (6)
 |  |  |  |  | Page totals | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  | Be sure to transfer these totals to the [NAME] page (Form 300A) before you post it. |  |  |  |  |  |  | Injury | Skin disorder | Respiratory condition | Poisoning | Hearing loss | All other illnesses
 |  |  |  |  |  |  |  |  | Page | 1 of 1 |  | (1) | (2) | (3) | (4) | (5) | (6)
Spreadsheet: 763935d1642473916-sorting-students-into-groups-with-preferences-scalable-dependent-drop-downs-apmtz-
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  | Nuisance | GMO | Water | Onions | Pesticide | Immagration | Beef | Animal Welfare
Students | Nuisance | GMO | Water | Onions | Pesticide | Immagration | Beef | Animal Welfare | Column1 |  | Group 1 Nuisance | Group 2 GMO | Group 3 Water | Group 4 Onions | Group 5 Pesticides | Group 6 Immagration | Group 7 Beef | Group 8 Animal Welfare
[NAME] | 2 | 4 | 3 | 8 | 5 | 6 | 1 | 7 | Beef
[NAME] | 4 | 5 | 3 | 7 | 2 | 8 | 1 | 6 | Beef
[NAME] | x | 2 | 4 | 7 | 6 | 1 | 5 | 3 | Immagration
[NAME] | 3 | 8 | 1 | 7 | 6 | 5 | 2 | 4 | Water |  | Group Size: | 2
[NAME] | 7 | 2 | 3 | 8 | 1 | 5 | 4 | 6 | Pesticide |  | Nuisance
[NAME] | 6 | 1 | 5 | 7 | 8 | 4 | 2 | 3 | GMO |  | GMO
[NAME] | 1 | 2 | 4 | 6 | 8 | 7 | 5 | 3 | Nuisance |  | Water
[NAME] | 1 | 5 | 4 | 2 | 7 | 3 | 8 | 6 | Nuisance |  | Onions
[NAME] | 4 | 8 | 2 | 5 | 3 | 6 | 1 | 7 | Water |  | Pesticide
Maggi [NAME] | 3 | 4 | 1 | 5 | 6 | 8 | 2 | 7 | GMO |  | Immagration
Dakota | 3 | 8 | 1 | 6 | 7 | 5 | 2 | 4 | Animal Welfare |  | Beef
[NAME] | 2 | 5 | 1 | 8 | 4 | 7 | 3 | 6 | Pesticide |  | Animal Welfare
[NAME] | 5 | 6 | 1 | 7 | 8 | 3 | 2 | 4 | Immagration
Elijah Baltierrez | 3 | 5 | 2 | 6 | 4 | 7 | 1 | 8 | Onions
[NAME] | 6 | 5 | 2 | 8 | 3 | 4 | 1 | 7 | Animal Welfare
Spreadsheet: 879499d1727084091-fishing-league-table-and-result-spreadsheet-fgpac-2024-league-table
Sheet: 2

Croft Fisheries | Huyton 1 | 18th September 2016
Name | lbs | oz | Oz (total) | Points
 | 2 | 2
 | 1 | 8
 | 10 | 0
 | 8 | 4
 | 10 | 2
 | 0 | 0
 | 63 | 8
 | 0 | 0
 | 2 | 0
 | 0 | 0
 | 16 | 0
 | 6 | 0
 | 0 | 0
 | 0 | 8
 | 0 | 9
 | 4 | 0
 | 0 | 4
 | 0 | 0
 | 0 | 0
Spreadsheet: 804703d1668233257-concatenate-two-words-with-spacing-in-between-excel-example
Sheet: Sheet1

 | Input-1 | Input-2 |  | Output
 | Out of Network | 12345 |  | Out of Network                              12345
 | In Network | ABCDEF |  | In Network                                   ABCDEF
 | Out of Scope | Television |  | Out of Scope                            Television
 | XYZ | 12 |  | XYZ                                                           12
 | Scope | Laptop |  | Scope                                              Laptop
 |  | Courier New
 |  | [NAME]
Spreadsheet: 786973d1657566604-linking-two-excel-tables-mappe4
Sheet: Tabelle1

Table 1 |  |  |  |  |  |  | Table 2
City |  | Number | Number | Number |  |  | Should be
Toronto | Year 1 | 232453 | 34567 | 4542323
 | Year 2 | 343432 | 2323211 | 1221324 |  | Toronto | 1221324
 | Year 3 | 5334211 | 456622 | 9899472 |  | Miami | 1232321
Miami | Year 1 | 89393939 | 2323112 | 2323111 |  | Montreal | 23131
 | Year 2 | 232321 | 2323231 | 1232321 |  | Boston | 232111
 | Year 3 | 232311 | 232311 | 132321 |  | [NAME] | 132312312
Montral | Year 1 | 123131 | 132321 | 2312312 |  | London | 434322
 | Year 2 | 1231231 | 1323131 | 23131
 | Year 3 | 132311 | 1323121 | 232131
Boston | Year 1 | 2323211 | 232321 | 23123122
 | Year 2 | 232311 | 323232 | 232111
 | Year 3 | 2323211 | 2323131 | 232131
[NAME] | Year 1 | 12312312 | 1231231 | 3123131
 | Year 2 | 3132222 | 231311 | 132312312
 | Year 3 | 3123121 | 2313222 | 3231444
London | Year 1 | 44423213 | 1231244 | 5454545
 | Year 2 | 213412312 | 4241312 | 434322
 | Year 3 | 321312 | 1231231 | 123123444
Spreadsheet: 708233d1607684765-create-an-advanced-report-to-show-average-price-per-brand-sorted-by-country-cat-of-item-dashboard
Sheet: RUSSIA

Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Top 5  lowest price | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Top 5  highest price | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Antenna cable | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | [NAME] | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Charger | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Recheargable battery | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Full swim kit | AB | MedEL | Cochlear | OM | Custom label
Spreadsheet: 856ae528-1cff-4e9b-9622-d27b441ef649
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
3729 | 22881 | Francesco | Fiori | ITA | 318 | 00:29:19 | 00:03:26 | 01:25:29 | 00:01:30 | 00:44:45 | 1 | 02:44:29
3729 | 20863 | Klaus | [NAME] | GER | 321 | 00:32:02 | 00:04:09 | 01:24:09 | 00:02:40 | 00:57:43 | 2 | 03:00:42
3729 | 8033 | Arnott | [NAME] | GBR | 319 | 00:40:11 | 00:03:32 | 01:28:43 | 00:01:43 | 00:53:28 | 3 | 03:07:35
3729 | 11132 | Aado | Liblikman | EST | 320 | 00:38:54 | 00:04:33 | 01:58:54 | [NAME] | 01:14:08 | 4 | 04:00:27
Spreadsheet: 847575d1698424663-data-is-by-rows-and-need-to-combine-it-into-one-row-scoring
Sheet: Results

Name | 1 | 2 | 3 | 4 | 5 | Total
 | 161 | 216 | 189 | 200 | 176
Name 2 | 134 | 114 | 146 | 139 | 129
Name 3 | 113 | 191 | 202 | 163 | 214
Name 4 | 138 | 135 | 177 | 147 | 154
Name 5 | 127 | 122 | 101 | 113 | 96
Name 6 | 103 | 179 | 168 | 140 | 199
Spreadsheet: 546223d1509961873-how-to-make-this-infograph-infographic-final
Sheet: DATA for MAtrix

 | Matrix of Bubbles
 | Health |  | 1 |  | Protection |  | 2 |  | Shelter |  | 3
 | Category | Vertical | Radius |  | Category | Vertical | Radius |  | Category | Vertical | Radius
 | IDP | 11 | 0.24 |  | IDP | 9 | 0.24 |  | IDP | 7 | 0.11
 | [NAME] | 11 | 0.36 |  | [NAME] | 9 | 0.36 |  | [NAME] | 7 | 0.06
 | Refugee | 11 | 0.1 |  | Refugee | 9 | 0.1 |  | Refugee | 7 | 0.1
 | Migrant | 11 | 0.2 |  | Migrant | 9 | 0.2 |  | Migrant | 7 | 0.2
 | Non-Displaced | 11 | 0.44 |  | Non-Displaced | 9 | 0.44 |  | Non-Displaced | 7 | 0.08
 | Water |  | 4 |  | Food |  | 5 |  | Education |  | 6
 | Category | Vertical | Radius |  | Category | Vertical | Radius |  | Category | Vertical | Radius
 | IDP | 5 | 0.05 |  | IDP | 3 | 0.06 |  | IDP | 1 | 0.08
 | [NAME] | 5 | 0.18 |  | [NAME] | 3 | 0.09 |  | [NAME] | 1 | 0.04
 | Refugee | 5 | 0.05 |  | Refugee | 3 | 0.04 |  | Refugee | 1 | 0.02
 | Migrant | 5 | 0.1 |  | Migrant | 3 | 0.08 |  | Migrant | 1 | 0.01
 | Non-Displaced | 5 | 0.13 |  | Non-Displaced | 3 | 0.09 |  | Non-Displaced | 1 | 0.15
 |  |  |  |  |  |  |  |  |  |  |  |  | https://www.mrexcel.com/forum/excel-questions/1030029-how-make-infograph.html
Spreadsheet: 90776d1290524690-no-count-for-multiple-pivot-blank-values-pivot
Sheet: Sheet1

Count of I |  | I
BL | AT | A | B | C | (blank) | Grand Total
A | weiblich | 1 |  | 1 |  | 2
 | (blank) | 1 | 1 |  |  | 2
A Total |  | 2 | 1 | 1 |  | 4
B | (blank) | 1 |  |  |  | 1
B Total |  | 1 |  |  |  | 1
(blank) | (blank)
(blank) Total
Grand Total |  | 3 | 1 | 1 |  | 5
Spreadsheet: 544830d1509045585-conditional-formatting-based-on-date-and-time-queue-template
Sheet: Do not use - TEMPLATE

 |  | Total | Oldest | Age of Oldest (HRs)
 | [NAME] |  | 2017-10-24 00:00:00
 | Carrier Claims |  | 2017-10-24 00:00:00
 | Credits |  | 2017-10-23 00:00:00
 | Customer Service |  | 2017-10-12 00:00:00
 | Escalation
 | Escalation Emails |  | 2017-10-22 00:00:00
 | Fraud
 | [NAME]
 | PayPal Issues |  | 2017-10-21 00:00:00
 | Print Return Label
 | Rewards
 | Store Fulfill Issue
 | 6+ Days |  |  |  |  | 255 | 0 | 0
 | 5 Days |  |  |  |  | 255 | 153 | 51
 | 4 Days |  |  |  |  | 255 | 204 | 0
 | 3 Days |  |  |  |  | 255 | 255 | 0
 | 0-2 Days |  |  |  |  | 0 | 176 | 80
Spreadsheet: 470083d1468334521-extracting-embedded-pictures-tim201110-nagar_college_data
Sheet: Report

Admission Form No | Student Photo
NC15001873
NC15000013
NC15001532
NC15000019
NC15001397
NC15001322
NC15000137
NC15003692
NC15000095
NC15000126
NC15000030
NC15000026
NC15002127
NC15001162
NC15001177
NC15001392
NC15000020
NC15001037
NC15001153
NC15001220
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Spreadsheet: kim_ward__20761__epngaward
Sheet: Sheet1

 |  | Summary of El Paso Capacity Award
 | Offer No. | Mmbtu | [NAME] | DP | Recall | Primary R P's. | Block
 | 18789 | 10795 |  | DPG&ETOP | no | Anadarko/Permian | I
 | 18790 | 3975 |  | DSCALTOP | no | Anadarko/Permian | I
 | 18791 | 22836 |  | DSCALEHR | no | Anadarko/Permian | I
 | 18793 | 200000 |  | DPG&ETOP | yes | SJ/Anadarko/Permian | II
 | 18794 | 16450 |  | DPG&ETOP | no | SJ/Anadarko/Permian | III
 | June 1, 2001 start
Spreadsheet: 624148d1557760896-calculate-number-of-employees-working-each-hour-4-tens-schedule-sample
Sheet: Sheet1

Lead
[NAME] | 3:00p-11:30p |  | 3:00p-11:30p |  | 3:00p-11:30p |  | 3:00p-11:30p |  |  |  |  |  | 3:00p-11:30p
[NAME] |  |  | 7:00a-3:30p |  | 7:00a-3:30p |  | PTO |  | 7:00a-3:30p |  | 3:00p-11:30p
Specialist
Column1 | Column2 | Column22 | Column3 | Column32 | Column4 | Column42 | Column5 | Column52 | Column6 | Column62 | Column7 | Column72 | Column8
Christian Macedo |  |  | 12:30p-9:00p |  | 12:30p-9:00p |  | 12:30p-9:00p |  | 12:30p-9:00p |  | 12:30p-9:00p
Tyla Rodriguez | 7:00a-3:30p |  | 7:00a-3:30p |  | 7:00a-3:30p |  | 7:00a-3:30p |  | 7:00a-3:30p
Management
[NAME] | 9:00a-5:30p |  | 9:00a-5:30p |  | 9:00a-5:30p |  | 9:00a-5:30p |  | 9:00a-5:30p
[NAME] | 7:00a-3:30p |  | 7:00a-3:30p |  | 7:00a-3:30p |  | 7:00a-3:30p |  |  |  |  |  | 7:00a-3:30p
Kristy Siegfried |  |  | 3:00p-11:30p |  | 3:00p-11:30p |  | 3:00p-11:30p |  | 3:00p-11:30p |  | 7:00a-3:30p