tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 169987d1343133986-sum-of-multiple-tables-data-acgtn
Sheet: Sheet1

DNA molecule: Contig1 |  |  |  |  | A | 7727
Length = 10221 base pairs |  |  |  |  | C | 6270
Molecular Weight = 3117106.00 Daltons, single stranded |  |  |  |  | G | 6365
Molecular Weight = 6206947.00 Daltons, double stranded |  |  |  |  | T | 7187
G+C content = 45.48 |  |  |  |  | N | 926
A+T content = 52.90
Nucleotide  Number   Mol
A        3044    29.78 | A 3044 29.78 | A | 3044
C        2452    23.99 | C 2452 23.99 | C | 2452
G        2196    21.49 | G 2196 21.49 | G | 2196
T        2363    23.12 | T 2363 23.12 | T | 2363
N        166     1.62 | N 166 1.62 | N | 166
DNA molecule: Contig2
Length = 6218 base pairs
Molecular Weight = 1883258.00 Daltons, single stranded
Molecular Weight = 3774966.00 Daltons, double stranded
G+C content = 43.42
A+T content = 52.91
Nucleotide  Number   Mol
A        1652    26.57 | A 1652 26.57 | A | 1652
C        1240    19.94 | C 1240 19.94 | C | 1240
G        1460    23.48 | G 1460 23.48 | G | 1460
T        1638    26.34 | T 1638 26.34 | T | 1638
N        228     3.67 | N 228 3.67 | N | 228
DNA molecule: Contig3
Length = 6626 base pairs
Molecular Weight = 2009275.00 Daltons, single stranded
Molecular Weight = 4020750.00 Daltons, double stranded
G+C content = 40.79
A+T content = 53.70
Nucleotide  Number   Mol
A        1651    24.92 | A 1651 24.92 | A | 1651
C        1404    21.19 | C 1404 21.19 | C | 1404
G        1299    19.60 | G 1299 19.60 | G | 1299
T        1907    28.78 | T 1907 28.78 | T | 1907
N        365     5.51 | N 365 5.51 | N | 365
DNA molecule: Contig4
Length = 5410 base pairs
Molecular Weight = 1640620.00 Daltons, single stranded
Molecular Weight = 3288155.00 Daltons, double stranded
G+C content = 47.76
A+T content = 49.15
Nucleotide  Number   Mol
A        1380    25.51 | A 1380 25.51 | A | 1380
C        1174    21.70 | C 1174 21.70 | C | 1174
G        1410    26.06 | G 1410 26.06 | G | 1410
T        1279    23.64 | T 1279 23.64 | T | 1279
N        167     3.09 | N 167 3.09 | N | 167
Spreadsheet: 9acc838a-bb6a-4aff-b957-aae1c23d7b4e
Sheet: Sheet1

[NAME] | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Quelle: http://ergebnisse.vimentis.ch/
Frage:
[NAME] müssen gleich behandelt werden wie private [NAME] (sie erhalten keine [NAME] öffentlichen Hand und können [NAME] gehen).
 | Alter:
Antwort | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | [NAME] 65
[NAME] | 0.2 | 0.2 | 0.27 | 0.26 | 0.29 | 0.29
[NAME] | 0.67 | 0.68 | 0.63 | 0.66 | 0.63 | 0.59
Neutral / Weiss nicht | 0.14 | 0.13 | 0.1 | 0.08 | 0.08 | 0.12
Angaben zu den [NAME]
Erhebungsjahr | 2010
Stichprobengrösse | 29292
Erhebungszeitraum | 02.10.2010 bis: 06.12.2010
[NAME] | [NAME]
Methodik / Repräsentativität
Um soziodemographische Verzerrungen [NAME], wurden sämtliche [NAME] nach [NAME], Alter, Bildung und Region gemäss der wahren [NAME] älter als 15 Jahre gewichtet. Es bleibt eine psychographische Verzerrung wegen
der [NAME] über das Internet, welche nicht korrigiert [NAME]. Diese Verzerrung wird anhand einzelner [NAME] für jede [NAME] abgeschätzt. Demnach sind [NAME] auf dieser Seite angegebenen [NAME] mit einer
Präzision von &plusmn;2% [NAME].
[NAME] und [NAME] auf dieser Seite dürfen unter Angabe der Quelle weiterverwendet werden.
Spreadsheet: 841133d1693386145-identifying-data-entries-based-on-multiple-criteria-and-ignoring-duplicates-earlier-entries-preppy_prince-identifying-data-entries-based-on-multiple-criteria-and-ignoring-duplicates-earli
Sheet: Sheet1

CUSTOMER ID | STORE | PURCHASE ITEM | PURCHASE DATE (DD/MM/YYYY) |  | STORE | NEW CUSTOMERS
A12348 | North | Fruit | 2023-06-07 00:00:00 |  | East
A12346 | South | Vegetables | 2023-06-05 00:00:00 |  | North
A12347 | East | Meat | 2023-08-18 00:00:00 |  | South
A12346 | South | Fruit | 2023-07-12 00:00:00
A12348 | North | Fruit | 2023-08-21 00:00:00
A12349 | North | Vegetables | 2023-08-09 00:00:00
A12345 | North | Meat | 2023-08-08 00:00:00
A12346 | South | Meat | 2023-08-15 00:00:00
A12347 | East | Vegetables | 2023-08-29 00:00:00
A12348 | East | Vegetables | 2023-08-29 00:00:00
A12349 | East | Vegetables | 2023-08-29 00:00:00
A12349 | East | Vegetables | 2023-09-29 00:00:00
Spreadsheet: 47ccbca5-498a-483d-a10d-72500bf2faf6
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
PCLLM | Test | PCLLM | CLL Monitoring, MRD Detection FLIP, see CLLM | CLL Monitoring, MRD Detection, BM | Immunophenotyping |  |  |  | 6 | mL | [NAME] marrow Container/Tube: Yellow top (ACD solution B)  [NAME]: 1-5 mL  Collection Instructions:  1. Submission of bilateral specimens is not required.  2. Include 5- to 10-unstained bone marrow aspirate smears, if possible. 3. Label specimen appropriately (bone marrow). Specimen Stability Information: Ambient <96 hours/Refrigerated < or =96 hours Additional Information: If cytogenetic tests are also desired when collecting CLLM / CLL Monitoring, MRD Detection, Blood an additional specimen should be submitted. It is important that the specimen be obtained, processed, and transported according to instructions for the other required test. | 1 mL | Hemolysis	Mild OK; Gross reject Thawing	NA Lipemia	OK Icterus	NA Other	NA | An interpretive report will be provided. This test will be processed as a laboratory consultation. An interpretation of the immunophenotypic findings and correlation with the morphologic features will be provided by a hematopathologist for every case. | Specimens are processed and reported Monday through Saturday | 1 day | 4 days |  | Profile |  |  |  |  | Rochester
PCLLM | [NAME] | BNMARW | Bone Marrow |  |  |  | Ambient
PCLLM | Result | 32602 | Final Diagnosis: | Final Diagnosis: | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
PCLLM | Result | 32603 | Microscopic Description | Microscopic Description | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
PCLLM | Result | 32604 | Special Studies: | Special Studies: | Alphanumeric
PCLLM | Billing Component | PCLLM |  | FLOWCYTOMETRY/TC ADD-ON |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 88185
PCLLM | Billing Component | PCLLM |  | FLOWCYTOMETRY/ TC 1 MARKER |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 88184
PCLLM | [NAME] | 88465 | Flow Cytometry Interpretation, 2 to 8 Markers ([NAME] Only) | Flow Cytometry Interp, 2-8 Markers |  |  |  |  |  |  | Only to be ordered by pathology consultant. This test is for billing purposes only. |  |  |  |  |  |  | 1 | 88187 |  |  | Yes | No ([NAME] Only)
88465 | Result | 88465 | Flow Cytometry Interp, 2-8 Markers | Flow Cytometry Interp, 2-8 Markers
Spreadsheet: a14f8747-1195-4ffb-9959-81a99de4c653
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SNOWSHOE | T1 | SKATE | T2 | SKI | POSITION | TOTAL TIME
5407 | 28468 | Andras | Szabo | HUN | 102 | 00:17:14 | [NAME] | 00:23:27 | 00:01:20 | [NAME] | 1 | 01:08:56
Spreadsheet: 3d5a7747-8ae4-4cbb-a9b7-1f954c36c019
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 8501.0 Retail Trade, Australia
 | TABLE 14. Retail Turnover; Completely Enumerated (large) and Sample (small), By Industry Group
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Turnover ;  Total Sample Sector ;  Total (State) ;  Food retailing ; |  |  | Original | [NAME] | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  Food retailing ; |  |  | Original | A3350086L | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total Sample Sector ;  Total (State) ;  Household goods retailing ; |  |  | Original | A3350186W | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  Household goods retailing ; |  |  | Original | A3350102A | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total Sample Sector ;  Total (State) ;  [NAME], footwear and personal accessory retailing ; |  |  | Original | A3350182L | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  [NAME], footwear and personal accessory retailing ; |  |  | Original | A3350190L | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  Department stores ; |  |  | Original | A3350104F | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total Sample Sector ;  Total (State) ;  Other retailing ; |  |  | Original | A3350187X | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  Other retailing ; |  |  | Original | A3350128X | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total Sample Sector ;  Total (State) ;  Cafes, restaurants and takeaway food services ; |  |  | Original | A3350074C | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  Cafes, restaurants and takeaway food services ; |  |  | Original | A3350097V | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total Sample Sector ;  Total (State) ;  Total (Industry) ; |  |  | Original | A3350099X | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ;  Total (State) ;  Total (Industry) ; |  |  | Original | A3350113J | 1994-04-01 00:00:00 | 2010-11-01 00:00:00 | 200 | $ Millions | FLOW | Month | 1
© Commonwealth of Australia  2011
Spreadsheet: 731384d1620315252-collate-data-from-different-worksheets-sample-workbook_1
Sheet: D

Category | Activity Name | AU | Trainee | India TM | Trainer | Training Date | Time Spent | Training Time | Due Date
Other | EFG | 120 | abc | def | afasf | 2021-04-30 00:00:00 | 1 | 04:30 PM - 05:30 PM | 2021-05-01 00:00:00
MJE | GHI | 120 | abc | def | afasf | 2021-04-30 00:00:00 | 1 | 04:30 PM - 05:30 PM | 2021-05-01 00:00:00
Spreadsheet: 727306d1617824727-calculating-fv-of-a-loan-that-has-an-interest-only-period-balloon-payment-simple-post
Sheet: var IOP

Date | 2009-03-01 00:00:00
Loan | 24300000 |  | 30/360 rate |  |  |  | actl/360 rate |  |  |  | actl/365 rate
Rate | 0.0616
[NAME] | 120
Int-only term | 24
Amort term | 360
[NAME] pmt |  | unrounded!
Last pmt (est)
Last pmt (actl)
diff / [NAME]
 |  | Pmt | Int | End Bal |  | Pmt | Int | End Bal |  | Pmt | Int | End Bal
Spreadsheet: 27117d1219973991-summing-a-range-of-cells-based-on-lookup-value-asha
Sheet: Sheet1

 | Priority | Low | High | Medium | Medium | Low | Medium | Low | Medium
 | SUM
 |  | x |  |  |  | x
 |  | x |  |  |  | x | x
 |  | x |  |  |  | x
 |  | x |  |  |  | x
 | SUM
 |  | x | x | x |  |  |  | x
 | SUM
 |  | x |  | x
 |  |  |  | x | x | x
 |  |  |  | x
 |  |  |  | x | x | x
 | Priority
 | High | 100
 | Medium | 10
 | Low | 1
Spreadsheet: 471545d1469074160-add-new-row-in-another-excel-sheet-add-new-row-in-another-excel-sheet
Sheet: 07 Computer

07 Computer
Asset |  |  |  | Quantity | Date | Price per Unit | Total Price in Purchased Date | Depreciation Percentage | Depreciation Expense | Total Price
Asset | Brand | Gen. | Code
Spreadsheet: 1b5d4c8e-8581-4a38-9388-eb1884a708d4
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 5671.0 Lending Finance, Australia
 | TABLE 12. LEASE FINANCE COMMITMENTS, For Plant and Equipment: Australia, Original ($000)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Transport equipment ; |  |  | Original | A2413515K | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Construction and earthmoving equipment ; |  |  | Original | A2413516L | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Agricultural machinery and equipment ; |  |  | Original | A2413517R | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Manufacturing equipment ; |  |  | Original | A2413518T | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Electronic data processing equipment ; |  |  | Original | A2413519V | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Office machines ; |  |  | Original | A2413520C | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Shop and office furniture, fittings and equipment ; |  |  | Original | A2413521F | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Other goods ; |  |  | Original | A2413522J | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | FLOW | Month | 1
Lease Finance - Total ; |  |  | Original | A2413523K | 1985-01-01 00:00:00 | 2012-10-01 00:00:00 | 334 | $'000 | DERIVED | Month | 1
© Commonwealth of Australia  2012
Spreadsheet: 712815d1610428977-need-formula-to-match-each-weeks-target-to-forward-volumes-restarting-each-week-stock-management-issue
Sheet: LEAD TIME CALCS

[NAME] | Week | SKU | Projected Opening stock | Projected receipts that week | Unfilled orders | Weeks before stock available |  | OP Stock | Inbound |  | OP Stock | Inbound |  | OP Stock | Inbound
Week 1 - Inbound projections made |  |  |  |  |  |  |  | Make 400 |  |  | Make 500 |  |  | Make 600
1 | 21-01 | SKU 1 | 0 | 90 | 400 |  |  | 0 | 90
2 | 21-02 | SKU 1 | 30 | 168 | 500 |  |  |  | 168 |  | 30
3 | 21-03 | SKU 1 | 119 | 170 | 600 |  |  |  | 170 |  |  |  |  | 119
4 | 21-04 | SKU 1 | 198 | 144 |  |  |  |  | 144
5 | 21-05 | SKU 1 | 236 | 46 |  |  |  |  | 46
6 | 21-06 | SKU 1 | 229 | 31 |  |  |  |  | 31 |  | 500 |  |  | 600
7 | 21-07 | SKU 1 | 224 | 31 |  |  |  |  | 31
8 | 21-08 | SKU 1 | 245 | 160 |  |  |  |  | 160
9 | 21-09 | SKU 1 | 266 | 0 |  |  |  |  | 0
10 | 21-10 | SKU 1 | 89 | 221 |  |  |  |  | 221
11 | 21-11 | SKU 1 | 199 | 136 |  |  |  |  | 136
Week 2 - Week 1 inbound adjusted
 |  |  |  |  |  |  |  | Make 400 |  |  | Make 538 |  |  | Make 600
1 | 21-01 | SKU 1 | 0 |  | 400 | 3 |  |  | 90
2 | 21-02 | SKU 1 | 52 | 168 | 538 | 4 |  |  | 130
3 | 21-03 | SKU 1 |  | 170 | 600 | 5 |  |  | 170
4 | 21-04 | SKU 1 |  | 144 |  |  |  |  | 144
5 | 21-05 | SKU 1 |  | 46 |  |  |  |  | 46
6 | 21-06 | SKU 1 |  | 31 |  |  |  |  | 31
7 | 21-07 | SKU 1 |  | 31 |  |  |  |  | 31
8 | 21-08 | SKU 1 |  | 160 |  |  |  |  | 160
9 | 21-09 | SKU 1 |  | 0 |  |  |  |  | 0
10 | 21-10 | SKU 1 |  | 221 |  |  |  |  | 221
11 | 21-11 | SKU 1 |  | 136 |  |  |  |  | 136
 |  |  | Need a "rolling" formula that calculates when sufficient stock will be available to meet any week's unfilled orders.
Spreadsheet: 125145d1318906006-automatically-update-chart-over-column-testing
Sheet: List

Brand | Market Geo | Market Region | Country
MOBILE | MEA | EMAT AFRICA | ABU DHABI
DESKTOP | EET | EMAT CEE | AFGHANISTAN
* | * | EMAT MEEP | ALBANIA
 |  | EMAT PRM | ALGERIA
 |  | EMAT TCG | ANGOLA
 |  | * | BAHRAIN
 |  |  | BENIN
 |  |  | BOSINA/HERZEGOVINA
 |  |  | BOTSWANA
 |  |  | BULGARIA
 |  |  | CROATIA
 |  |  | CYPRUS
 |  |  | CZECH
 |  |  | DUBAI (WT MIDDLE EAST)
 |  |  | EGYPT
 |  |  | ERITREA
 |  |  | ETHIOPIA
 |  |  | GABON
 |  |  | GHANA
 |  |  | GREECE
 |  |  | HUNGARY
 |  |  | IRAN
 |  |  | JORDANIAN
 |  |  | KENYA
 |  |  | KUWAIT
 |  |  | LEBANON
 |  |  | MACEDONIA
 |  |  | MALAWI
 |  |  | MALTA
 |  |  | MAURITIUS
 |  |  | [NAME]
 |  |  | MOROCCO
 |  |  | MOZAMBIQUE
 |  |  | NIGERIA
 |  |  | OMAN
 |  |  | PAKISTAN
 |  |  | POLAND
 |  |  | QATAR
 |  |  | ROMANIA
 |  |  | RWANDA
 |  |  | [NAME]
 |  |  | SAO THOME IS.
 |  |  | SAUDI ARABIA
 |  |  | SERBIA/MONTENEGRO
 |  |  | SLOVAKIA
 |  |  | SLOVENIA
 |  |  | SOMALIA
 |  |  | SOUTH AFRICA
 |  |  | [NAME]
 |  |  | TANZANIA
 |  |  | TUNISIA
 |  |  | TURKEY
 |  |  | UGANDA
 |  |  | UNITED ARAB EMIRATES
 |  |  | WESTERN SAHARA
 |  |  | YEMEN
 |  |  | YUGOSLAVIA
 |  |  | ZAMBIA
 |  |  | ZIMBABWE
 |  |  | CAPE VERDE IS
 |  |  | NAMIBIA
 |  |  | *
Spreadsheet: a14c7327-2e7c-4e9d-93f6-c88ee393e990
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
Vogtlandkreis - Variante 2
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 20 | 24135 | 23214 | 21220 | 18675
20 - 25 | 8469 | 4779 | 5107 | 4960
25 - 35 | 17831 | 16584 | 12215 | 9302
35 - 55 | 49756 | 44082 | 37054 | 32349
55 - 67 | 31855 | 34972 | 33875 | 31096
67 und mehr | 43859 | 43145 | 46388 | 48501
Insgesamt | 175905 | 166776 | 155859 | 144883
%
unter 20 | 13.72047411955317 | 13.91926895956253 | 13.61486985031342 | 12.88971100819282
20 - 25 | 4.814530570478383 | 2.865520218736509 | 3.276679562938297 | 3.423452026807838
25 - 35 | 10.1367215258236 | 9.943876816808174 | 7.837211838905677 | 6.420352974469054
35 - 55 | 28.28572240698104 | 26.4318606993812 | 23.77405218819574 | 22.32767129338846
55 - 67 | 18.10920667405702 | 20.96944404470667 | 21.73438813286368 | 21.46283552935817
67 und mehr | 24.93334470310679 | 25.87002926080491 | 29.76279842678318 | 33.47597716778366
Insgesamt | 100 | 100 | 100 | 100
Gebietsstand: | 31. [NAME] 2008
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: 723450d1615710458-removing-characters-from-different-cells-based-on-contents-in-a-separate-cell-example-2
Sheet: Sheet1

 |  | Reference table - will remain static as a reference with no formulas
 |  |  |  |  |  |  | example scenario 1 (red = not visible) |  |  |  |  | example scenario 2 (red = not visible) |  |  |  |  | example scenario 3 (red = not visible)
 |  | YJL | AC |  |  |  | YJL | AC |  |  |  | YJL | AC |  |  |  | YJL | AC
 |  | IP, AC | NK, PS, IM |  |  |  | IP, AC | NK, PS, IM |  |  |  | IP, AC | NK, PS, IM |  |  |  | IP, AC | NK, PS, IM
 |  | AM | AM |  |  |  | AM | AM |  |  |  | AM | AM |  |  |  | AM | AM
 |  | CD, BD, MA, IM | RPe (1-2pm), MA, IP (until 3pm) |  |  |  | CD, BD, MA, IM | RPe (1-2pm), MA, IP (until 3pm) |  |  |  | CD, BD, MA, IM | RPe (1-2pm), MA, IP (until 3pm) |  |  |  | CD, BD, MA, IM | RPe (1-2pm), MA, IP (until 3pm)
 |  | NK | BD |  |  |  | NK | BD |  |  |  | NK | BD |  |  |  | NK | BD
 |  | CD |  |  |  |  | CD |  |  |  |  | CD |  |  |  |  | CD
 |  | PS | RPe |  |  |  | PS | RPe |  |  |  | PS | RPe |  |  |  | PS | RPe
 |  | US MSK - PS |  |  |  |  | US MSK - PS |  |  |  |  | US MSK - PS |  |  |  |  | US MSK - PS
 |  |  | JHi |  |  |  |  | JHi |  |  |  |  | JHi |  |  |  |  | JHi
 |  | NKa | NKa |  |  |  | NKa | NKa |  |  |  | NKa | NKa |  |  |  | Nka | NKa
 |  | NA, JMcC, RP, JB | JB |  |  |  | NA, JMcC, RP, JB | JB |  |  |  | NA, JMcC, RP, JB | JB |  |  |  | NA, JMcC, RP, JB | JB
 |  |  |  |  |  | input --> | CD, BD, PS |  |  |  | input --> | YJL, MA |  |  |  | input --> | PS, Nka
Spreadsheet: 753848d1635785809-attendance-roster-suggestion-attendance-report-test
Sheet: Roster

# | Club Name | Role | Last Name | First Name | [NAME] | 9/1/2021 | 9/15/2021 | Count
1 | XYZ | President | Hampton | [NAME] | [EMAIL]
2 | XYZ | VPE | Paulson | [NAME] | [EMAIL]
3 | XYZ | VPM | Cortez | Maria | [EMAIL]
4 | XYZ | VPPR | [NAME] | [NAME] | [EMAIL]
5 | XYZ | Secretary | [NAME] | Nicole | [EMAIL]
6 | XYZ | Treasurer | Pusateri | Nicole | [EMAIL]
7 | XYZ | SAA | Banda | Ana | [EMAIL]
8 | XYZ | Member | Beechey | [NAME] | [EMAIL]
9 | XYZ | Member | Bell | [NAME] | [EMAIL]
Spreadsheet: 800574d1665745207-listing-the-top-10-values-of-a-range-and-their-matching-titles-cant-get-rid-of-duplicates-sample-for-excel-forum
Sheet: Sheet1

Site | MON | TUE | WED | THU | FRI | SAT | SUN | TOTAL |  | top 5
Daventry | 3 | 20 | 10 | 10 | 5 | 2 | 1 | 51
Widnes | 14 | 11 | 6 | 14 | 2 | 0 | 3 | 50
Crawley | 8 | 1 | 2 | 8 | 1 | 2 | 2 | 24
Nursling One | 6 | 6 | 2 | 4 | 2 | 1 | 0 | 21
Snodland | 1 | 5 | 2 | 5 | 2 | 0 | 3 | 18
Wakefield | 3 | 1 | 5 | 3 | 3 | 0 | 0 | 15
Apex | 2 | 2 | 0 | 4 | 3 | 0 | 1 | 12
Enfield | 0 | 1 | 3 | 5 | 1 | 1 | 1 | 12
Doncaster | 2 | 3 | 2 | 3 | 1 | 0 | 0 | 11
Aylesford | 2 | 2 | 1 | 2 | 1 | 2 | 1 | 11
Spreadsheet: 774709d1648631746-letter-position-copy-pasted-letter-interchange
Sheet: Sheet1

STRONGLY |  |  | 17843 | GLNORSTY | Y
STRONGYL |  | ES | 17844 | GLNORSTY | Y
HYDRANTS |  |  | 20480 | ADHNRSTY
TRYSTING |  |  | 22724 | GINRSTTY
ENCRYPTS |  |  | 24390 | CENPRSTY
BERGYLTS |  |  | 24815 | BEGLRSTY
THRAWNLY |  |  | 27569 | AHLNRTWY
KLYSTRON |  | S | 27696 | KLNORSTY
FLYTINGS |  |  | 28023 | FGILNSTY
DECRYPTS |  |  | 28503 | CDEPRSTY
Spreadsheet: 297809d1392600514-i-need-a-very-specific-loan-calculator-loantable
Sheet: Hoja1

The loan amounts ocuur in 3 different times: 150.000,00 today, 50.000,00 in one month, 50.000,00 in 2 months and last 50.000,00 in 3 months, so total loan amount is 300.000,00.
Interest has to be paid every quarter, at a fixed rate of 3,477%;
The loan must be paid at 12/31/2014.
How would I go about creating the loan table?
 | 0.03477 |  |  | 2014-03-31 00:00:00 | 2014-06-30 00:00:00 | 2014-09-30 00:00:00 | 2014-12-31 00:00:00
 |  |  | 150000
 | 30 |  | 50000
 | 30 |  | 50000
 | 30 |  | 50000
 |  | Interest
Spreadsheet: 50099d1249491625-excel-2007-count-blank-cells-in-one-column-that-also-meet-a-date-condition-in-another-column-illustrative-worksheet
Sheet: Sheet1

Date recvd | Acct Balance | Transfer Date
2009-01-02 00:00:00 | 99537.02 | 2009-02-02 00:00:00
2009-02-02 00:00:00 | 99529.5 | 2009-02-02 00:00:00 |  | See Sheet two for analytical resultings needed!!
2009-03-03 00:00:00 | 99259.03 | 2009-03-03 00:00:00
2009-04-04 00:00:00 | 99494.33 | 2009-03-03 00:00:00
2009-05-05 00:00:00 | 99480.69
2009-06-06 00:00:00 | 99146 | 2009-04-04 00:00:00
2009-07-07 00:00:00 | 77785.69
2009-08-01 00:00:00 | 89313.17 | 2009-05-05 00:00:00
2009-08-05 00:00:00 | 99847.76
 | 99730.07
 | 77728.03 | 2009-06-26 00:00:00
Spreadsheet: daren_farmer__5954__EI305reveff061200
Sheet: Sheet1

To:   [NAME]          (Enron)
From: [NAME] ([NAME])
Date:  6/09/00
Subject:  Revised Availabilities Effective 6/12/00
Effective Date | CTP NAME | Gross Vol. (MMBtu/d) | PVR % | PVR Volume | Avail. After PVR (MMBtu/d) | DBQ | Excess
2000-06-12 00:00:00 | EI 305 | 3800 | 0 |  |  | 3280
1st of month DBQ = 3280/d
The Sea Robin Plant will shut down Monday, June 12, 2000 at 9:00 a.m. for repairs and maintenance.
The plant should be back up on Thursday, June 15, 2000.
Spreadsheet: 164621d1340820969-combining-linked-cells-while-retaining-formatting-example
Sheet: Sheet1

Date | Description | Charge | Euro | Space |  |  |  | Food |  |  | Concantenated
 |  |  |  |  |  |  |  | Laundry
 |  |  |  |  |  |  |  | Room
 |  |  |  |  |  |  |  | Other