tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 812814d1673390535-cumulative-formula-i-cant-get-something-right-see-file-excel-how-to-formula-cumulative
Sheet: Sheet1

Date | Type | ITEM | UNITS BOUGHT | Price (per unit) | Previous Units | Cumulative Units | Transacted Value | Previous Cost | Cost of Transaction | [NAME] | Cumulative Cost | Gains/Losses from Sale
2018-10-01 00:00:00 | Buy | START | 1 | 1
2018-10-01 00:00:00 | Sell | START | 1 | 2
2018-10-02 00:00:00 | Buy | End | 3 | 2
2018-10-02 00:00:00 | Sell | End | 1 | 3
2018-10-02 00:00:00 | Sell | End | 2 | 2
2018-10-02 00:00:00 | Buy | Test | 2 | 1
2018-10-02 00:00:00 | Buy | Test | 2 | 1
2018-10-03 00:00:00 | Buy | Box | 1 | 1
2018-10-04 00:00:00 | Buy | Box | 2 | 2
2018-10-05 00:00:00 | Sell | Test | 4 | 2
2018-10-06 00:00:00 | Sell | Box | 3 | 2
Spreadsheet: 12ddeeaa-731a-49a1-954f-22d09350db8f
Sheet: PACE Budget Revision

PACE BUDGET REVISION REQUEST
PLEASE FILL IN YELLOW CELLS ONLY
College Name:
 | Original Budget Amount | Enter Amount to be subtracted from line item | Enter Amount to be added to line item | [NAME]
A.  PERSONNEL - List Position
Salary
Project Coordinator | 92727 | -19526.48
Nursing Lead | 23600 |  | 10000
[NAME]. - 2 Course | 18000 |  | 9526.48
Subtotal
Fringe Benefits
Project Coordinator | 20400 | -5054.79
Nursing Lead | 4400 |  | 4000
[NAME]. - 2 Course | 2640 |  | 1054.79
Subtotal
[NAME] COSTS
Travel | 14600 |  | 5000
Advertising | 15000 | -5000
Strategy 2 Supplies |  |  |  | 0
Strategy 2 Computers
Strategy 3 Advisement Tech.
Strategy 3 Supplies
SUBTOTAL
[NAME]
SUBTOTAL
GRAND TOTAL |  |  |  |  | Subtotals & Grand Totals in Cells B & E should match
 |  |  |  |  | Subtotals & Grand Totals in Cells C & D should zero out
This request is consistent with the scope and objectives of the project as approved by the agency. The action requested will result in more effective utilization of institutional resources. This request has been reviewed for consistency with the granting agency & college policies.
Finance Officer Signature & Date |  | PACE Coordinator Signature & Date
Spreadsheet: 0b3b5af0-4cdd-4d67-ae9f-6c36d0382567
Sheet: Sheet1

Table 3--U.S. monthly average farm prices and marketings | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 |  |  | 2011/12 |  |  |  | 2010/11 |  |  |  | 2009/10
Month |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt
August |  | 13.6 |  | 11384 |  | 11.7 |  | 10691 |  | 14.9 |  | 10503
September |  | 14.4 |  | 12507 |  | 11 |  | 15095 |  | 14.8 |  | 11061
October |  | 14.5 |  | 11454 |  | 11.5 |  | 17131 |  | 14.5 |  | 14148
November |  | 14.5 |  | 10928 |  | 12.6 |  | 16929 |  | 14.5 |  | 13854
December |  | 14.2 |  | 14177 |  | 13.9 |  | 19137 |  | 14.9 |  | 15902
January |  | 14.2 |  | 14422 |  | 14 |  | 21806 |  | 15 |  | 19351
February |  | 13.9 | 1/ |  |  | 13.4 |  | 14847 |  | 14.8 |  | 13991
March |  |  |  |  |  | 13 |  | 15844 |  | 14.3 |  | 16292
April |  |  |  |  |  | 13.1 |  | 12727 |  | 14.3 |  | 12525
May |  |  |  |  |  | 12.7 |  | 14227 |  | 13.8 |  | 13145
June |  |  |  |  |  | 12.1 |  | 11317 |  | 13.2 |  | 11019
July |  |  |  |  |  | 12.9 |  | 13369 |  | 12.6 |  | 11952
Average price to date |  | 14.18571428571429 | 2/
Season average farm price |  | 14.2 | 3/ |  |  | 12.7 |  |  |  | 14.4
Average Marketings |  |  |  | 12478.66666666667 |  |  |  | 12893 |  |  |  | 10782
Total volume marketed |  |  |  | 74872 |  |  |  | 183120 |  |  |  | 163743
N/A = Not available.
1/ Mid-month only.  2/ Simple average.  3/ Mid-point of season-average farm price projection.
Source: Monthly cash price and marketings, Agricultural Prices, National Agricultural Statistics Service, USDA.
Last updated March 9, 2012.
Spreadsheet: 155455d1336849040-deleting-multiple-duplicates-with-criteria-lukey2606_example_12may12_02
Sheet: Sheet1

Article Number | version | Status |  | Uniques | Version | Status
11122233 | 1 | NOK |  | 11122233
11122233 | 2 | NOK |  | 44455566
11122233 | 3 | NOK |  | 55588844
11122233 | 4 | OK |  | 11100055
44455566 | 1 | NOK |  | 77799955
44455566 | 2 | OK |  | 11122255
44455566 | 3 | OK |  | 77799911
55588844 | 1 | OK |  | 88811177
11100055 | 1 | OK |  | 88899955
77799955 | 1 | OK
11122255 | 1 | OK
77799911 | 1 | NOK
77799911 | 2 | OK
88811177 | 1 | OK
88899955 | 1 | OK
Spreadsheet: 717467d1612683189-return-a-value-in-a-range-with-multiple-criteria-date-range-and-name-criteria-lookup-example
Sheet: Sheet1

Data Set - Schedule |  |  |  |  | Desired Report - Able to make a view by months within a year as below as well as an annual view over the years
Evening Coverage | Holiday Coverage | Employee |  |  |  | Jan/Feb | Mar/Apr | May/Jun | July/Aug
2021-01-01 00:00:00 | New Years | Smith |  |  | Abels |  |  |  | July 4th
2021-01-08 00:00:00 |  | Jones |  |  | Jones
2021-01-18 00:00:00 | MLK | [NAME] |  |  | Smith | New Years
2021-01-29 00:00:00 |  | Abels |  |  | Wilson |  |  | Memorial Day
2021-02-05 00:00:00 |  | Jones |  |  | [NAME] | MLK
2021-02-12 00:00:00 |  | [NAME]
2021-02-19 00:00:00 |  | Abels
2021-02-26 00:00:00 |  | Jones
2021-03-05 00:00:00 |  | Wilson
2021-03-12 00:00:00 |  | [NAME]
2021-03-19 00:00:00 |  | Abels
2021-03-26 00:00:00 |  | Jones
2021-04-02 00:00:00 |  | Smith
2021-04-09 00:00:00 |  | Wilson
2021-04-16 00:00:00 |  | Abels
2021-04-23 00:00:00 |  | Jones
2021-04-30 00:00:00 |  | [NAME]
2021-05-07 00:00:00 |  | Wilson
2021-05-14 00:00:00 |  | Jones
2021-05-21 00:00:00 |  | Abels
2021-05-28 00:00:00 | Memorial Day | Wilson
2021-06-04 00:00:00 |  | [NAME]
2021-06-11 00:00:00 |  | Abels
2021-06-18 00:00:00 |  | Wilson
2021-06-25 00:00:00 |  | Jones
2021-07-02 00:00:00 | July 4th | Abels
2021-07-09 00:00:00 |  | [NAME]
2021-07-16 00:00:00 |  | Smith
2021-07-23 00:00:00 |  | Jones
2021-07-30 00:00:00 |  | Wilson
Spreadsheet: 216159d1361623783-calculate-sum-for-a-year-sum-months
Sheet: Sheet1

 | 1
 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10
DESIRED RESULT
So every 12 months, it sums row 3
Spreadsheet: 156647d1337368785-lookup-or-sumproduct-or-if-condition-with-sumproduct-and-vlookup-sample-bonus
Sheet: Bonus Calculation

2012-06 (Jun)
1000 |  |  |  |  |  |  |  |  |  |  | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
Name | Date | Day | Unexcused Absence | Unexcused Absence (NO CONTACT) | Unexcused Absence following PTO | Unexcused Absence following PTO (NO CONTACT) | Bonus Lost |  |  | Unexcused Absence | 2 | 1 | 1 | 1 | 2 | 1
[NAME] | 2012-06-04 00:00:00 |  | Y |  |  |  | 95.23809523809524 |  |  | Unexcused Absence (NO CONTACT) | 4 | 2 | 2 | 2 | 4 | 2
Blaise Moriarty | 2012-06-05 00:00:00 |  | Y |  |  |  | 47.61904761904762 |  |  | Unexcused Absence following PTO | 4 | 2 | 2 | 2 | 4 | 2
[NAME] | 2012-06-06 00:00:00 |  |  | Y |  |  | 95.23809523809524 |  |  | Unexcused Absence following PTO (NO CONTACT) | 4 | 2 | 2 | 2 | 4 | 2
Cassie French | 2012-06-08 00:00:00 |  |  | Y |  |  | 190.4761904761905
[NAME] | 2012-06-07 00:00:00 |  |  |  |  | Y
Cassie French | 2012-06-08 00:00:00 |  |  |  | Y
[NAME] | 2012-06-11 00:00:00 |  |  |  |  | Y
[NAME] | 2012-06-12 00:00:00
[NAME] | 2012-06-13 00:00:00
Biz Days | 21
Spreadsheet: 295818d1391807428-cell-referencing-help-budget-project-again
Sheet: Monthly Budget Overview

 |  | Budget overview
 |  |  |  |  | Income
 |  | Source 1 | 5520 |  |  |  | Source 1 | 5700
 |  | Source 2 | 3700 |  |  |  | Source 2 | 4500
 |  | Extra | 1200 |  |  |  | Extra | 1000
 |  | Total |  |  |  |  | Total
 |  | Actual |  |  |  |  | Projected
 | Balance | Projected |  |  |  | Projected |  |  | Expenses
 |  | Actual |  |  |  | Actual
 |  | Difference |  |  |  | Difference
 |  | Average |  |  |  | Average
 |  | Year |  |  |  | Year
 |  |  |  | Net cash flow
 |  | Expenses Overview
 |  | Item Category |  |  |  |  | Total
 |  | Housing
 |  | Entertainment
 |  | Food
 |  | Insurance
 |  | Loands
 |  | Personal
 |  | Children
 |  | Pets
 |  | Transportation
 |  | Gifts/Charity
 |  | Savings
 |  | Taxes
Spreadsheet: 814216d1674228135-longevity-percentages-incorrect-longevity-test-tiers
Sheet: Sheet1

 |  |  | Date | 2023-01-01 00:00:00
 |  |  | Performance Increase | 0.02
Employee Number | Employee | Position Title | Seniority Date | [NAME] | Rate - Annual | FTE - Total | LGERS Years | LGERS / LONG Percentage | Longevity AMT | Performance and Step Increase | Current Salary w/o Longevity | New World Round | Monthly | Total As Is with Long
1 | [NAME] | 5100-072-02 - Social Worker II - MCC  (69) | 2018-01-01 00:00:00 | GRADE 69 | 59880 | 1 | 9
87 | [NAME] | 4308-050-07 - Deputy Sheriff I Fike  (69) | 1998-04-01 | GRADE 69 | 69204 | 1 | 14
6 | West North | 5310-078-47 - IMC Caseworker II  (65) | 1999-09-01 | GRADE 65 | 63084 | 1
What I want the outcome to be
Years | Percentage
0 | 0
5 | 0.025
10 | 0.04
15 | 0.05
20 | 0.06
25 | 0.065
Spreadsheet: 02d1dae1-973a-43a7-8632-adf467bd0460
Sheet: Contents

Country Statistical Tables for Latin America and the Caribbean (LAC)
This contents sheet provides an explanation of each worksheet in the file.
Users are encouraged to read International Food Security Assessment, 2011-21 (FSA), which discusses global food
security issues and estimates food gaps for 77 lower income countries. The report was published in
July 2011 and is available at http://www.ers.usda.gov/Publications/GFA22/ .
The report estimates the number of hungry people in 2011 and 2021 as well as food gaps arising
from shortages in food availability as well as lack of access due to insufficient purchasing power.
A special article explores urbanization trends and issues in developing countries.
The tables and charts provided in this file are not found in the report.
This file contains:
- 11 country statistical tables and charts
The tab for each country table is identified by its two-letter country code (the country code key is listed
below.) The table contains 9 years of historical data and estimates/projections for 2011, 2016, and 2021.
Grain production data through 2010 are from United Nations, Food and Agriculture Organization (FAO).
Root production data are from FAOSTAT, available through 2009, then converted into grain equivalent.
Commercial grain imports are also from FAOSTAT and food aid data are from World Food Program,
converted into grain equivalent based on calorie content. Aggregate availability of all food is a calculated
amount of all food available, converted into grain equivalent. For information on the definitions and method
of calculation of food gaps please see [NAME] in the FSA report.
Each country sheet also contains two charts. The top chart graphs grain production and commercial
imports between 2002 and 2010. The second chart graphs food gap estimates/projections for 2011, 2016,
and 2021. Except for Jamaica, the second chart in this sheet graphs grain production and imports
estimates/projections for 2011, 2016, and 2021.
Country code key:
BO = Bolivia
CO = Colombia
DO = Dominican Republic
EC = Ecuador
SV = El Salvador
GT = Guatemala
HT = Haiti
HN = Honduras
JM = Jamaica
NI = Nicaragua
PE = Peru
Spreadsheet: 714242d1611150369-sort-out-the-trades-in-sequence-test50
Sheet: Sheet2

Trade Number | Date Iniated | Date Terminated | Buy Price | Sell Price | Profit/loss | Period Held in days
1 | 2012-10-09 00:00:00 | 2012-10-16 00:00:00 | 15 | 20 |  | 8
2 | 2012-10-22 00:00:00 | 2012-10-23 00:00:00 | 24 | 23 |  | 1
3 | 2012-10-31 00:00:00 | 2012-11-08 00:00:00 | 27 | 33 |  | 9
Number of Trades Won |  | 2
Number of Trades Lost |  | 1
Spreadsheet: 79498d1279745772-eliminating-un-necessary-spacings-exampledoc4
Sheet: Sheet1

STORE A COLUMN | STORE B COLUMN | COMMON STORES | DESIRED COLUMN!!
15 | 12 | 15 | 15
20 | 15 |  | 25
25 | 200 | 25 | 40
30 | 122
35 | 40
40 | 25 | 40
Spreadsheet: 543189d1508261738-use-conditional-formatting-to-identify-teams-copy-of-cf_1
Sheet: Sheet1

UID | League | Cat | Type | Home | Away | Date |  |  |  |  |  |  |  | Cloud | Brass | Monte
39422 | 2017 Fall-Winter | Dbls | SUPER A | GETSOMPZ | BULLSDEP | 2017-10-12 19:48:11 |  |  |  |  |  |  |  | DOMINANT | BULLSDEP | GETDRUNK
39427 | 2017 Fall-Winter | Dbls | SUPER A | BULLSHTR | NICEGUYS | 2017-10-12 19:34:25 |  |  |  |  |  |  |  | 1MORGRND | GETSOMPZ
39424 | 2017 Fall-Winter | Dbls | SUPER A | 1MORGRND | [NAME] | 2017-10-12 19:20:14 |  |  |  |  |  |  |  | REDBULLS
39407 | 2017 Fall-Winter | Dbls | SUPER A | REDBULLS | DOMINANT | 2017-10-12 19:17:07 |  |  |  |  |  |  |  | GETMONEY
39425 | 2017 Fall-Winter | Dbls | SUPER A | LASTCALL | TRYAGAIN | 2017-10-12 19:16:44 |  |  |  |  |  |  |  | TRYAGAIN
39412 | 2017 Fall-Winter | Dbls | SUPER A | NO-MERCY | LCKYDRTS | 2017-10-12 19:12:04
39411 | 2017 Fall-Winter | Dbls | SUPER A | OLDSKOOL | CHKNWING | 2017-10-12 18:56:02
39400 | 2017 Fall-Winter | Dbls | SUPER A | GETMONEY | GETDRUNK | 2017-10-12 18:48:27
39137 | 2017 Fall-Winter | Dbls | SUPER A | GETMONEY | DOMINANT | 2017-10-05 19:46:11
39140 | 2017 Fall-Winter | Dbls | SUPER A | LAMECAT | BULLSHTR | 2017-10-05 19:38:23
39141 | 2017 Fall-Winter | Dbls | SUPER A | [NAME] | LASTCALL | 2017-10-05 19:25:30
39131 | 2017 Fall-Winter | Dbls | SUPER A | TRYAGAIN | 1MORGRND | 2017-10-05 19:25:22
39130 | 2017 Fall-Winter | Dbls | SUPER A | CHKNWING | GETSOMPZ | 2017-10-05 19:13:09
39136 | 2017 Fall-Winter | Dbls | SUPER A | NICEGUYS | BULLIES | 2017-10-05 19:12:01
39124 | 2017 Fall-Winter | Dbls | SUPER A | NO-MERCY | BEARJUAN | 2017-10-05 19:11:20
39126 | 2017 Fall-Winter | Dbls | SUPER A | BULLSDEP | DIRTY | 2017-10-05 19:06:56
39113 | 2017 Fall-Winter | Dbls | SUPER A | GETDRUNK | REDBULLS | 2017-10-05 18:58:47
Spreadsheet: 672070d1586711268-looking-for-reference-built-up-function-reference-formula
Sheet: Acoun-2

MAIN | Account-2
Date | Description | Debit | Credit | Balance
2020-04-01 00:00:00 | Opening Balance |  | 1181 | 1181
2020-04-03 00:00:00 | Commission Credited |  | 14 | 1195
2020-04-04 00:00:00 | Commission Credited |  | 3 | 1198
2020-04-05 00:00:00 | Commission Credited |  | 48 | 1246
2020-04-05 00:00:00 | Commission Credited |  | 28 | 1274
2020-04-06 00:00:00 | NEP00215 ROLD BACK |  | 5000 | 6274
2020-04-06 00:00:00 | Prakesh | 5000 |  | 1274
2020-04-06 00:00:00 | Commission Credited |  | 77 | 1351
2020-04-06 00:00:00 | Commission Debited | 63 |  | 1288
2020-04-07 00:00:00 | Commission Credited |  | 17 | 1305
2020-04-08 00:00:00 | Commission Credited |  | 8 | 1313
 |  |  | 100000 | 101313
2020-04-13 00:00:00 | Prakesh | 50000 |  | 51313
2020-04-09 00:00:00 | Rajesh | 5000 |  | 46313
2020-04-10 00:00:00 | Rajesh | 2500
2020-04-12 00:00:00 | Prakesh | 4000
2020-04-12 00:00:00 | Prakesh | 5000
2020-04-12 00:00:00 | Prakesh | 5000
Spreadsheet: 84176d1284154024-excel-2007-selecting-cells-from-find-box-sample
Sheet: Sheet1

 |  |  |  | Person 1 |  |  | Person 2 |  |  | Person 3 |  |  | Person 4 |  | Person 5 | Person 6
Question | 2008 Mean | 2009 Mean | 2010 Mean | 2008 | 2009 | 2010 | 2008 | 2009 | 2010 | 2008 | 2009 | 2010 | 2008 | 2009 | 2009 | 2008 | 2009 | 2010
Group 1
Question 1
Question 2
Group 2
Question 1
Question 2
Question 3
Group 3
question 1
[NAME]
Question 3
Question 4
Question 5
Group 4
Question 1
Question 2
Question 3
Spreadsheet: 0aaf25eb-8796-401f-aa82-6aa6a39f0b03
Sheet: CDPH_Form

LOCATION AND SCOPE OF OUTBREAK
Population at risk: |  |  | #  investigated epidemiologically: |  |  | # of persons ill: |  |  | # of lab-confirmed cases: |  |  | # hospitalized: |  |  | # deaths:
Date of onset
First onset: |  |  | Last onset: |  |  | Number of persons ill by age group:
 |  |  |  |  |  | <1 yr
 |  |  |  |  |  | 1-4 yrs
 |  |  |  |  |  | 5-9 yrs
 |  |  |  |  |  | 10-19 yrs
 |  |  |  |  |  | 20-39 yrs
 |  |  |  |  |  | 40-59 yrs
 |  |  |  |  |  | 60+ yrs
Spreadsheet: 693528d1599014661-excel-equation-that-can-be-applied-to-installing-acoustic-panels-take-off-sheet-example
Sheet: Sheet1

Drawing # | Elevation | Room Name | Code | Product | Colour | [NAME] ([NAME]) | Height ([NAME]) | Square / m | Panels required | Offcuts | Lineal / m |  |  |  | Panel [NAME]: | 1200 | [NAME] | Wide
A.150 | 5 | Admin Room | PIN1 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600 |  | ? | ? |  |  |  |  |  | 2400 | [NAME] | Height
A.151 | 6 | Admin Room | PIN2 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 1445
A.152 | 7 | Admin Room | PIN3 | Autex 12mm Composition - Direct Stick | [NAME] | 1600 | 3600
A.153 | 8 | Admin Room | [NAME] | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600
A.154 | 9 | Admin Room | PIN5 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600
A.155 | 10 | Admin Room | [NAME] | Autex 12mm Composition - Direct Stick | [NAME] | 1780 | 4000
A.156 | 11 | Admin Room | PIN7 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600
A.157 | 12 | Admin Room | PIN8 | Autex 12mm Composition - Direct Stick | [NAME] | 2110 | 3600
A.158 | 13 | Admin Room | PIN9 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600
A.159 | 14 | Admin Room | PIN10 | Autex 12mm Composition - Direct Stick | [NAME] | 600 | 3600
A.160 | 15 | Admin Room | PIN11 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600
A.161 | 16 | Admin Room | PIN12 | Autex 12mm Composition - Direct Stick | [NAME] | 200 | 6000
[NAME] | 17 | Admin Room | PIN13 | Autex 12mm Composition - Direct Stick | [NAME] | 1450 | 3600
[NAME] | 18 | Admin Room | PIN14 | Autex 12mm Composition - Direct Stick | [NAME] | 150 | 2550
A.164 | 19 | Admin Room | PIN15 | Autex 12mm Composition - Direct Stick | [NAME] | 1500 | 3600
Spreadsheet: 7d40b3c0-fc8c-48fc-8cf2-5ad5dd3a14f2
Sheet: sentaku

4 | 選択死因分類と死因簡単分類及び死因基本分類との対照表
 | Selected list of causes of death for Japan
選択死因 | 分類名 | Causes of death | 死因簡単 | 死因基本分類コード
分類コード |  |  | 分類コード
Se01 | 結核 | Tuberculosis | 01200 | A15～A19
Se02 | 悪性新生物 | Malignant neoplasms | 02100 | C00～C97
 | （再掲） | (Regrouped)
Se03 | 食道の悪性新生物 | Oesophagus | 02102 | C15
Se04 | 胃の悪性新生物 | Stomach | 02103 | C16
Se05 | 結腸の悪性新生物 | Colon | 02104 | C18
Se06 | 直腸Ｓ状結腸移行部及び直腸の悪性新生物 | Rectosigmoid junction and rectum | 02105 | C19～C20
Se07 | 肝及び肝内胆管の悪性新生物 | Liver and intrahepatic bile ducts | 02106 | C22
Se08 | [NAME] | Gallbladder and other biliary tract | 02107 | C23～C24
Se09 | 膵の悪性新生物 | Pancreas | 02108 | C25
Se10 | 気管、気管支及び肺の悪性新生物 | [NAME]， bronchus and lung | 02110 | C33～C34
Se11 | 乳房の悪性新生物 | Breast | 02112 | C50
Se12 | 子宮の悪性新生物 | Uterus | 02113 | C53～C55
Se13 | 白血病 | Leukaemia | 02119 | C91～C95
Se14 | 糖尿病 | Diabetes mellitus | 04100 | E10～E14
Se15 | 高血圧性疾患 | Hypertensive diseases | 09100 | I10～I13
Se16 | 心疾患　（高血圧性を除く） | Heart diseases(excluding hypertensive heart diseases) | 09200 | I01～I02.0、I05～I09、I20～I25、I27、I30～I51
 | （再掲） | (Regrouped)
Se17 | 急性心筋梗塞 | Acute myocardial infarction | 09202 | I21～I22
Se18 | その他の虚血性心疾患 | Other acute ischaemic heart diseases | 09203 | I20、I24～I25
Se19 | 不整脈及び伝導障害 | Cardiac arrhythmias and conduction disorders | 09206 | I44～I49
Se20 | 心不全 | Heart failure | 09207 | [NAME]
Se21 | 脳血管疾患 | Cerebrovascular diseases | 09300 | I60～I69
 | （再掲） | (Regrouped)
Se22 | くも膜下出血 | [NAME] haemorrhage | 09301 | I60、I69.0
Se23 | 脳内出血 | lntracerebral haemorrhage | 09302 | I61、I69.1
Se24 | 脳梗塞 | Cerebral infarction | 09303 | I63、I69.3
Se25 | 大動脈瘤及び解離 | Aortic aneurysm and dissection | 09400 | I71
Se26 | 肺炎 | Pneumonia | 10200 | J12～J18
Se27 | 慢性閉塞性肺疾患 | Chronic obstructive pulmonary disease | 10400 | J41～J44
Se28 | 喘息 | Asthma | 10500 | J45～J46
Se29 | 肝疾患 | Diseases of liver | 11300 | K70～K76
Se30 | 腎不全 | Renal failure | 14200 | N17～N19
Se31 | 老衰 | Senility without mention of psychosis | 18100 | R54
Se32 | 不慮の事故 | Accidents | 20100 | V01～X59
 | （再掲） | (Regrouped)
Se33 | 交通事故 | Transport accidents | 20101 | V01～V98
Se34 | 自殺 | Suicide | 20200 | X60～X84
注：選択死因分類コードのSeはＳｅｌｅｃｔｉｏｎの略である。
Spreadsheet: 0331b5fc-2b2f-40cc-9919-845e3e5b7766
Sheet: Sheet1

Appendix table 6--Regional shares of milk cows, selected years | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Region | 1975 | 1980 | 1985 | 1990 | 1995 | 1997 | 1998 | 1999 | 2000 1
 | Percent
Northeast | 19.90897012352772 | 20.09056729576056 | 19.94355169117312 | 18.6411847108265 | 18.39218791237793 | 18.62877519044789 | 18.79069259340179 | 18.63259065093927 | 18.25190010857763
Lake States | 27.89248779086469 | 28.44813216528068 | 28.9798333864433 | 27.82669601761057 | 25.42095539720243 | 24.50699659625047 | 24.24076906270483 | 24.12625600698995 | 23.64820846905537
Corn Belt | 14.01357368572249 | 13.27949919434 | 12.50967360131106 | 11.72703622173304 | 10.82079704407495 | 10.2328596898806 | 10.05025125628141 | 9.775010921799913 | 9.728555917481
Northern Plains | 5.233769031887388 | 4.59318800585261 | 4.379296217052852 | 4.212527516509906 | 3.568223805753497 | 3.360527311037873 | 3.331876775180249 | 3.396679772826562 | 3.463626492942454
Appalachian | 7.729459925308819 | 7.389846831996739 | 6.974097509901216 | 6.423854312587553 | 5.542359461599366 | 5.219082608460749 | 5.046974000436967 | 4.827435561380516 | 4.723127035830619
Southeast | 4.25524274633726 | 3.981997666364158 | 3.514362452770064 | 3.682209325595357 | 3.409870678279229 | 3.392943973202226 | 3.342800961328381 | 3.254696373962429 | 3.170466883821933
Delta States | 3.106147658718759 | 2.648491471116627 | 2.358082578413074 | 2.121272763658195 | 2.016363156505674 | 1.79372197309417 | 1.638627922219795 | 1.53997378768021 | 1.476655808903366
Southern Plains | 4.05774202815283 | 3.96347674698572 | 3.869440524422998 | 4.872923754252551 | 5.236210081815782 | 5.078610405748555 | 4.850338649770592 | 4.772826561817388 | 4.766558089033659
Mountain | 4.046969261706406 | 4.435760191135888 | 4.938316565757727 | 5.653392035221132 | 8.00844550013196 | 8.94267653573937 | 9.427572645837886 | 9.916994320664045 | 10.53203040173724
Pacific | 9.755637747773628 | 11.169040431167 | 12.53334547275459 | 14.8389033420052 | 17.58458696225917 | 18.8438057161381 | 19.30085208651955 | 19.79030144167759 | 20.29315960912052
United States | 100 | 100 | 100 | 100 | 100 | 100 | 100.0207559536814 | 100.0327653997379 | 99.9542888165038
1 Preliminary data.
Source:  Compiled by Economic Research Service from U.S. Department of Agriculture, National Agricultural Statistics Service, Final Estimates,
various years, except for 1998, 1999, and 2000.   Data for 1998, 1999, and 2000 are from Milk Production, February 2000 and 2001.
Spreadsheet: 220116d1363071055-drop-down-box-return-multiple-rows-with-multiple-columns-no-vba-small-sample
Sheet: MasterList

Material Name | Material No | [NAME] | Test | Target Value | Min Value | [NAME]
stinky stuff | 101 | junk | pH | 7 | 6 | 8
stinky stuff | 101 | junk | viscosity | 300 | 200 | 400
stinky stuff | 101 | junk | specific gravity | 1.05 | 1.04 | 1.06
yucky stuff | 202 | goo | pH | 7 | 6 | 8
yucky stuff | 202 | goo | viscosity | 300 | 200 | 400
yucky stuff | 202 | goo | specific gravity | 1.06 | 1.04 | 1.08
yucky stuff | 202 | goo | water content | 6 | 5 | 7
green slime | 303 | gak | Color | Colorless | [NAME]
green slime | 303 | gak | viscosity | 300 | 200 | 400
green slime | 303 | gak | specific gravity | 1.06 | 1.04 | 1.08
green slime | 303 | gak | water content | 6 | 5 | 7
green slime | 303 | gak | particle size | 4.5 | 4 | 5
green slime | 303 | gak | Appearance | Clear Liquid | [NAME]
purple ooze | 404 | slurple | Color | Purple | Red | Blue
purple ooze | 404 | slurple | sodium content | In Range | 0 | 30
Spreadsheet: 215846d1361513014-find-a-value-in-the-first-column-return-first-non-zero-value-in-another-column-solution
Sheet: Sheet1

person | year1 | year2 | year3 | year4 | year5 | year6 | year7 | year8 | year9 | year10 | year11 | year12 | year13 | year14 | year15 | year16 | year17 |  | Check
1 | 0 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 0 | 0 | 0 | 0
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 0 | 0 | 0
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 3 | 3 | 0
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3
2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 0 | 0 | 0
2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0
2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0