tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 783271d1654700183-itemized-sum-of-data-by-a-specific-date-excel-query
Sheet: Data

 | Item Code | Order Quantity | Promise date
 | Item 2 | 5802 | 2022-09-19 00:00:00
 | Item 2 | 12594 | 2022-09-19 00:00:00
 | Item 2 | 12594 | 2022-09-19 00:00:00
 | Item 1 | 8736 | 2022-08-29 00:00:00
 | Item 1 | 10944 | 2022-08-29 00:00:00
 | Item 1 | 10944 | 2022-08-29 00:00:00
 | Item 3 | 2730 | 2022-10-24 00:00:00
 | Item 3 | 6222 | 2022-10-24 00:00:00
 | Item 3 | 6216 | 2022-10-24 00:00:00
 | Item 4 | 3645 | 2022-08-29 00:00:00
 | Item 4 | 8211 | 2022-08-22 00:00:00
 | Item 4 | 8214 | 2022-08-29 00:00:00
 | Item 5 | 3426 | 2022-09-05 00:00:00
 | Item 5 | 6036 | 2022-09-05 00:00:00
 | Item 5 | 6036 | 2022-09-05 00:00:00
 | Item 6 | 20216 | 2022-08-15 00:00:00
 | Item 6 | 20216 | 2022-09-19 00:00:00
 | Item 7 | 3126 | 2022-09-05 00:00:00
 | Item 7 | 3450 | 2022-09-05 00:00:00
 | Item 7 | 3456 | 2022-09-05 00:00:00
 | Item 8 | 3735 | 2022-08-15 00:00:00
 | Item 8 | 21478 | 2022-09-26 00:00:00
 | Item 8 | 21479 | 2022-09-19 00:00:00
Spreadsheet: 199914d1355352728-combining-column-chart-with-line-chart-that-has-more-datapoints-stackedcolumnline2
Sheet: Sheet1

 | Stacked1 | Stacked2 | Line
2012-01-01 00:00:00 | 50 | 93 | 154
2012-02-01 00:00:00 |  |  | 108
2012-03-01 00:00:00 |  |  | 116
2012-04-01 00:00:00 |  |  | 160
2012-05-01 00:00:00 |  |  | 245
2012-06-01 00:00:00 |  |  | 227
2012-07-01 00:00:00 |  |  | 193
2012-08-01 00:00:00 |  |  | 225
2012-09-01 00:00:00 |  |  | 169
2012-10-01 00:00:00 |  |  | 68
2012-11-01 00:00:00 |  |  | 227
2012-12-01 00:00:00 |  |  | 59
2013-01-01 00:00:00 | 72 | 66 | 143
2013-02-01 00:00:00 |  |  | 157
2013-03-01 00:00:00 |  |  | 134
2013-04-01 00:00:00 |  |  | 53
2013-05-01 00:00:00 |  |  | 121
2013-06-01 00:00:00 |  |  | 75
2013-07-01 00:00:00 |  |  | 152
2013-08-01 00:00:00 |  |  | 228
2013-09-01 00:00:00 |  |  | 223
2013-10-01 00:00:00 |  |  | 106
2013-11-01 00:00:00 |  |  | 87
2013-12-01 00:00:00 |  |  | 152
2014-01-01 00:00:00 | 68 | 94 | 117
2014-02-01 00:00:00 |  |  | 65
2014-03-01 00:00:00 |  |  | 59
2014-04-01 00:00:00 |  |  | 156
2014-05-01 00:00:00 |  |  | 55
2014-06-01 00:00:00 |  |  | 186
2014-07-01 00:00:00 |  |  | 160
2014-08-01 00:00:00 |  |  | 191
2014-09-01 00:00:00 |  |  | 225
2014-10-01 00:00:00 |  |  | 154
2014-11-01 00:00:00 |  |  | 86
2014-12-01 00:00:00 |  |  | 72
2015-01-01 00:00:00 | 62 | 92 | 54
2015-02-01 00:00:00 |  |  | 146
2015-03-01 00:00:00 |  |  | 133
2015-04-01 00:00:00 |  |  | 60
2015-05-01 00:00:00 |  |  | 203
2015-06-01 00:00:00 |  |  | 183
2015-07-01 00:00:00 |  |  | 62
2015-08-01 00:00:00 |  |  | 147
2015-09-01 00:00:00 |  |  | 156
2015-10-01 00:00:00 |  |  | 153
2015-11-01 00:00:00 |  |  | 191
2015-12-01 00:00:00 |  |  | 164
2016-01-01 00:00:00 | 88 | 80 | 136
2016-02-01 00:00:00 |  |  | 194
2016-03-01 00:00:00 |  |  | 80
2016-04-01 00:00:00 |  |  | 51
2016-05-01 00:00:00 |  |  | 120
2016-06-01 00:00:00 |  |  | 62
2016-07-01 00:00:00 |  |  | 79
2016-08-01 00:00:00 |  |  | 62
2016-09-01 00:00:00 |  |  | 53
2016-10-01 00:00:00 |  |  | 180
2016-11-01 00:00:00 |  |  | 166
2016-12-01 00:00:00 |  |  | 155
2017-01-01 00:00:00 | 57 | 82 | 155
2017-02-01 00:00:00 |  |  | 102
2017-03-01 00:00:00 |  |  | 133
2017-04-01 00:00:00 |  |  | 160
2017-05-01 00:00:00 |  |  | 184
2017-06-01 00:00:00 |  |  | 112
2017-07-01 00:00:00 |  |  | 155
2017-08-01 00:00:00 |  |  | 143
2017-09-01 00:00:00 |  |  | 245
2017-10-01 00:00:00 |  |  | 221
2017-11-01 00:00:00 |  |  | 73
2017-12-01 00:00:00 |  |  | 153
2018-01-01 00:00:00 | 86 | 66 | 97
2018-02-01 00:00:00 |  |  | 214
2018-03-01 00:00:00 |  |  | 65
2018-04-01 00:00:00 |  |  | 162
2018-05-01 00:00:00 |  |  | 202
2018-06-01 00:00:00 |  |  | 51
2018-07-01 00:00:00 |  |  | 63
2018-08-01 00:00:00 |  |  | 168
2018-09-01 00:00:00 |  |  | 205
2018-10-01 00:00:00 |  |  | 156
2018-11-01 00:00:00 |  |  | 176
2018-12-01 00:00:00 |  |  | 98
Spreadsheet: 874559d1721143658-counting-values-in-a-column-expert-session-attendance
Sheet: Sheet1

Expert Meeting Attendance
 | Week of
 | 2024-04-08 00:00:00
[NAME] | [NAME], [NAME]
[NAME]
Debbie | [NAME], [NAME]
Watson | Francisco
Shawn | [NAME], [NAME]
[NAME] | no meeting
ATTENDEES
Vince
[NAME]
Francisco
Spreadsheet: monika_causholli__28131__Annual compound capacity growth
Sheet: Sheet1

Source: PPPC
 | Capacity in 000s tons
 | 1990 | 2000 | Growth
North America | 15850 | 20025
Europe | 10330 | 11000
Latin America | 1545 | 4245
Asia | 2715 | 6190
World | 31590 | 43030
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: Anne Lamy Mook

[NAME]
Fair Share Fee: Those Who Don't Pay Their Fair Share
Agree
Explain your fair share position, if you choose.
No response
Teachers' Retirement: Support in the State Budget
Agree
Explain your teachers' retirement position, if you choose.
No response
Health Care: Continuing System Reform
I'd like to explain my position
Explain your health care reform position, if you choose
VT-NEA and VEHI have done a superb job in addressing health care for its members and costs to our communities.  VT NEA should be
applauded for its leadership.  Health Care should continue to be an integral part of the negotiating process.
Teaching Career: Retaining New Teachers
I'd like to explain my position
Explain your teaching career position, if you choose
Certainly there is and will continue to be a need to attract high-caliber individuals to be educational professionals-teachers and
administrators.  While mentoring is an excellent part of retention , forgiving partial debt loan and other incentives could be considered.
The most important part of retention should be addressing the curriculum at in-state higher [NAME] teaching programs. Are the teachers ready
to meet the needs of the current student? Traditional teacher curriculum should include/require classroom management, special needs
training and experience, ie in emotional behaviors and autism, so that one is well-prepared for the classroom experience.  The curriculum
of the special needs educator also needs to be addressed in a similar manner.  Perhaps, [NAME] could take a role in looking at the quality
of in-state curriculum.
Teaching Profession: Simplifying Professional Relicensing
I'd like to explain my position
Explain your relicensing position, if you choose
Not sure of current process for licensure, in order to comment.    However,  I feel strongly that qualifications for licensure ( issued by
the State) must be separate from performance, which is performed by a supervisor within local school districts/SU.
Name | email address | Address | Office sought | Are you an incumbent? |  | County
[NAME] | [NAME] | 228 Washington, Ave.  Bennington, VT 05201 | State Representative Bennington #2-2 | Yes |  | Bennington
Spreadsheet: 190898d1351835651-multiple-formulas-needed-in-one-cell-to-create-a-value-in-a-new-cell-media-tracking-sheet-excel-help-forum-v1
Sheet: Tables - Store Rating

Store Rating Tables (Avg)
Medium
 | TV | Radio
Brisbane
Adelaide
Perth
Sydney
Melbourne
Newcastle
Gold Coast
ACT
TV Station
 | Seven Network | Nine Network | Network Ten | Prime7 | NBN | SCA | WIN
Brisbane
Adelaide
Perth
Sydney
Melbourne
Newcastle
Gold Coast
ACT
Radio Station
 | ATN | 97.3 | Triple M | Beat 105 | Nova | Sea FM | Gold FM | Hot Tomato | 2DAY | Mix | WSFM | FOX FM | 92.9 | 96FM | NXFM | KOFM | SAFM | 104.7
Brisbane
Adelaide
Perth
Sydney
Melbourne
Newcastle
Gold Coast
ACT
TV Reach % |  |  |  |  |  |  | TV Frequency %
 | 0-50% | 50-60% | 60-70% | 70-80% | 80-100% |  |  | 0-40% | 40-50% | 50-60% | 60-70% | 70-100%
Brisbane |  |  |  |  |  |  | Brisbane
Adelaide |  |  |  |  |  |  | Adelaide
Perth |  |  |  |  |  |  | Perth
Sydney |  |  |  |  |  |  | Sydney
Melbourne |  |  |  |  |  |  | Melbourne
Newcastle |  |  |  |  |  |  | Newcastle
Gold Coast |  |  |  |  |  |  | Gold Coast
ACT |  |  |  |  |  |  | ACT
Radio Reach % |  |  |  |  |  |  | Radio Frequency %
 | 0-50% | 50-60% | 60-70% | 70-80% | 80-100% |  |  | 0-40% | 40-50% | 50-60% | 60-70% | 70-100%
Brisbane |  |  |  |  |  |  | Brisbane
Adelaide |  |  |  |  |  |  | Adelaide
Perth |  |  |  |  |  |  | Perth
Sydney |  |  |  |  |  |  | Sydney
Melbourne |  |  |  |  |  |  | Melbourne
Newcastle |  |  |  |  |  |  | Newcastle
Gold Coast |  |  |  |  |  |  | Gold Coast
ACT |  |  |  |  |  |  | ACT
Spreadsheet: 03a084a6-2459-45c8-b49d-161dacb7fcf7
Sheet: Figures 1,2,4-Weighted

Figure 1 |  |  |  |  |  |  |  |  |  | Figure 2 |  |  |  |  |  |  |  |  |  | TEMPLATE
South Carolina 2006-2007 | Statewide |  | Statewide Weighted for Charter Enrollment |  | Greenville |  | N/A
Per-Pupil Revenue
District |  |  | 10104
Charter |  |  | 8396
Difference |  |  | 1708
 |  |  | 0.169
Per-Pupil Revenue by Source | District | Charter | District | Charter | District | Charter (3) |  |  |  |  |  |  |  |  |  |  |  |  | PROOF
Federal |  | * | 998
State |  | * | 4279
Local |  | * | 3887
Other |  | * | 939
Indeterminate | 0 | * | 0 |  |  | 0
Total |  | $8,396**
Enrollment
District |  |  | n/a
 |  |  | n/a |  |  |  |  |  |  |  | District | Charter | Difference
Charter |  |  | n/a |  |  |  |  |  |  | South Carolina
 |  |  | n/a |  |  |  |  |  |  | South Carolina Weighted
Number of Charters |  |  | n/a |  | 6 |  |  |  |  | Greenville
Total Revenue
District |  |  | n/a
 |  |  | n/a
Charter | $ | 42,012,678** | n/a
 |  |  | n/a
Total | 6921162935 |  | n/a
Percentage of Revenue by Source | District | Charter | District | Charter | District | Charter |  |  |  | Figure 4
Federal |  | *
State |  | *
Local |  | *
Other |  | *
Indeterminate |  | *
Change in district school funding if subjected to charter funding structure
 | ($1.2 billion) |  |  |  | ($122.1 million)
42012678.33881668
PROOF
See other NOTES on tab #5-Charters.
 |  |  |  |  |  |  |  |  |  |  | Federal | State | Local | Other | Indeterminate |  |  |  | PROOF
 |  |  |  |  |  |  |  |  |  | Statewide     District
 |  |  |  |  |  |  |  |  |  | Statewide Weighted
 |  |  |  |  |  |  |  |  |  | Statewide     Charter
 |  |  |  |  |  |  |  |  |  | Greenville     District
 |  |  |  |  |  |  |  |  |  | Greenville     Charter
 |  |  |  |  |  |  |  |  |  | PROOF
Spreadsheet: 150786d1334679645-excel-2007-sorting-a-list-that-changes-changing-list
Sheet: Tabelle1

Inverter type# | Total Inverters | Total Inverters divided by per station | Round Down / Inverter Pad 1 with 2 Inv. | Double Pad Inverter Modifier | Inverters Leftover / Inverter Pad 2 with 1 Inverter | Single Pad Inverter Modifier | Total Stations | Double [NAME] | Single [NAME] kWp | Double Inverter Setup Trafo Type | Single Inverter Setup Trafo Type
1 | 3 | 1.5 | 1 | 2 | 1 | 1 | 2 | 1600 | 800 | 1600 | 800
Double Pad |  | 1600 | 1 | Amount
Single Pad |  | 800 | 1 | Amount
2 | 1 | 0.5 | 0 | 2 | 1 | 1 | 1 | 1520 | 760 | 1600 | 800
Double Pad |  | 1600 | 0 | Amount
Single Pad |  | 800 | 1 | Amount
3 | 2 | 1 | 1 | 2 | 0 | 1 | 1 | 630 | 630 | 630 | 630
Double Pad |  | 630 | 1 | Amount
Single Pad |  | 630 | 0 | Amount
1600
1250
1000
800
630
500
Spreadsheet: 218841d1362592441-ghost-content-affecting-results-ghost-cells
Sheet: Sheet1

-20
180
-10
-135
180
15
55
-300
20
281
66
-200
15
-5
-230
390
50
40
Spreadsheet: 120059d1314961408-count-of-duplicate-on-month-basis-duplicate-month-on-month
Sheet: Sheet1

Date | Partner Name | Example | [NAME]
2011-08-28 00:00:00 | a | no duplicate |  |  |  | count duplicate if partner name twice or more than twice in same month
2011-08-29 00:00:00 | b | no duplicate |  |  |  | Do not count duplicate if partner name twice or more than twice for in month.
2011-08-30 00:00:00 | c | no duplicate
2011-08-31 00:00:00 | d | no duplicate
2011-08-30 00:00:00 | d | duplicate1
2011-09-02 00:00:00 | a | no duplicate
2011-09-03 00:00:00 | c | no duplicate
2011-09-04 00:00:00 | b | no duplicate
2011-09-05 00:00:00 | a | duplicate1
2011-10-01 00:00:00 | a | no duplicate
2011-10-02 00:00:00 | b | no duplicate
2011-10-03 00:00:00 | c | no duplicate
2011-10-04 00:00:00 | a | duplicate1
2011-10-05 00:00:00 | a | duplicate2
Spreadsheet: ae2f1701-84cc-4dcc-8588-72aec1266295
Sheet: 3.3 Table

3.3  Wages and profits share
Quarter | 2010–11 | 2011–12 | 2012-13 | 2013-14 | 2014-15
Wage share (a) (b) – per cent
September | 52.2 | 52.3 | 53.7 | 53.1 | 53.3
December | 52.4 | 52.7 | 53.6 | 52.9
March | 52.6 | 53.3 | 53.5 | 52.9
June | 52.4 | 53.7 | 53.3 | 53
Annual average (c) | 52.4 | 53 | 53.52500000000001 | 52.975
Profit share (a) (d) – per cent
September | 28.5 | 28.6 | 26.4 | 26.8 | 26.4
December | 28.1 | 28.3 | 26.3 | 27.1
March | 28.1 | 27.6 | 26.3 | 27
June | 28.4 | 26.9 | 26.4 | 26.7
Annual average (c) | 28.275 | 27.85 | 26.35 | 26.9
(a) Calculated on the trend series using current prices.
(b) Compensation of employees as a proportion of total factor income.
(c ) Year ending June.
(d) Gross operating surplus of corporations as a proportion of total factor income.
Source: ABS, Australian National Accounts: National Income, Expenditure and Product, Cat. no. 5206.0
 |  |  |  |  |  |  |  | Update
 |  |  |  |  |  |  |  | 2015-03-04 00:00:00
Spreadsheet: 745771d1630178218-compare-two-columns-in-two-sheets-to-remove-duplicates-and-return-one-copy-only-book1-4-
Sheet: Sheet3

Column3, Master |  | Column3,Master
Spreadsheet: 876684d1723406681-how-to-link-or-import-data-between-two-excel-workbooks-with-very-different-formats-daily-sheets
Sheet: 06.16.24

 | AM SHIFT REPORT
 |  |  |  | 2024-06-16 00:00:00
 | UNIT | Bed Capacity | [NAME] | Census | Census Pending | RN | RN PD | TRVL | RN OT | RN Sick | Tech | NA | Comments
 | 3RD FL | 13 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0
 | 4TH FL | 38 | 22 | 24 | 3 | 4 | 1 | 1 | 0 | 2 | 2 | 0
 | 5TH FL | 34 | 20 | 19 | 0 | 3 | 1 | 0 | 0 | 0 | 2 | 0
 | ABC | 27 | 18 | 14 | 1 | 4 | 0 | 0 | 0 | 1 | 2 | 0
 | MNO | 12 | 6 | 4 | 0 | 2 |  | 0 |  | 0 | 1 | 0
 | Total MED
 | JKL | 26 | 4 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0
 | DEF | 10 | 4 | 6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0
 | GHI | N/A | N/A | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 1 | 0
 | Total MAT
 | Total Holds AM | N/A | N/A | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 0
 | Total Holds MID |  |  | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0
 | Total House Census
 | PM SHIFT REPORT
 |  |  |  | 2024-06-16 00:00:00
 | UNIT | Bed Capacity | Bud. Beds | Census | Census Pending | RN | RN PD | TRVL | RN OT | RN Sick | Tech | NA | Comments
 | 3RD FL | 13 | 7 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0
 | 4TH FL | 38 | 22 | 24 | 0 | 4 | 0 | 1 | 0 | 1 | 2 | 0
 | 5TH FL | 34 | 20 | 18 | 0 | 3 | 1 | 1 | 0 | 0 | 1 | 0
 | ABC | 27 | 18 | 15 | 0 | 4 | 0 | 2 | 0 | 0 | 1 | 0
 | MNO | 12 | 6 | 4 | 0 | 2 |  | 0 |  | 0 | 1 | 0
 | Total MED
 | JKL | 26 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0
 | DEF | 10 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0
 | GHI | N/A | N/A | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 1 | 0
 | Total MAT
 | Total Holds PM | N/A | N/A | 5 | 0 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 3 4tf fl/2 MED
 | Total House Census
Spreadsheet: 3c618d78-71f9-4ab9-b540-2a37cb8a5ff4
Sheet: Sheet1

Bayer AG Konzern-Kennzahlen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
 |  | 1999 | 1998
Umsatz | € Mio | 27320 | 28062
Operatives Ergebnis | € Mio | 3357 | 3155
Gewinn vor Ertragssteuern | € Mio | 2836 | 2728
[NAME] | € Mio | 2002 | 1614
Brutto-Cashflow | € Mio | 3252 | 3394
Investitionswert | € Mio | 31997 | 32143
CFRoI | % | 9.8 | 10.8
Eigenkapital | € Mio | 15182 | 12779
Bilanzsumme | € Mio | 31279 | 29377
Investitionen | € Mio | 2632 | 2703
Mitarbeiter | Jahresende | 120400 | 145100
[NAME] | € Mio | 7549 | 8106
Forschungskosten | € Mio | 2252 | 2045
Spreadsheet: 145605d1331661154-rank-by-state-sample
Sheet: Sheet7

State | Selected | Contractor | Total Cost | Rank
AL | X | Company 1 | 6294.57 | 2
AL | X | Company 2 | 6200.57 | 1
AL | X | Company 3 | 6528.2 | 3
AR | X | Company 1 | 6285.73 | 1
AR | X | Company 2 | 6441.8 | 2
AR | X | Company 3 | 6991.860000000001 | 3
Spreadsheet: 117690d1312967476-parentheses-and-stars-not-recognized-in-excel-test-test
Sheet: Sheet1

_Main Activity ! | _Purchasing ! | Account Unique ID | # of Stars | Account Parent ID | Account Name | Shipping Address 1 | Shipping City | Shipping Address 2 | Shipping Post Code | [NAME] | Main Fax | Website | # of Hotel Rooms | Employee Segmentation ! | Market Segment ! | Channel ! | Coffee Free/Paid ! | Owner ! | # of stars
76 | 78 | 1 | 2 | 3 | 5 | 6 | 8 | 9 | 10 | 11 | 12 | 13 | 20 | 36 | 74 | 75 | 77 | 79
Hotel Chains | Compra centralizada | HOTE00001 | HOTEL (****) | PHOTE00001 | 1898 | RAMBLA, 109 |  | BARCELONA | 08002 | 935529552 | 935529550 | www.nnhotels.es | 169 | 0 | Commercial | Hotel Accommodation and Meet | De Pago | npro-ib/BENOIN.PATRICK
Hotel Chains | Compra centralizada | HOTE00002 | HOTEL (**) | 0 | 21 | Autovía ALMERÍA-MURCIA,  SALIDA 471 |  | ALMERIA | 04100 | 950209100 |  |  | 49 | 0 | Commercial | Hotel Accommodation and Meet | De Pago | npro-ib/BENOIN.PATRICK
Hotel Chains | Compra centralizada | HOTE00003 | APARTHOTEL (***) | 0 | 40 FLATS | Avda. INSTITUTO OBRERO, 20 |  | VALENCIA | 46013 | 963356793 | 963356692 | www.40flats.com | 40 | 0 | Commercial | Hotel Accommodation and Meet | De Pago | npro-ib/BENOIN.PATRICK
Hotel Chains | Compra centralizada | HOTE00004 | HOTEL (***) | 0 | 44 | Avda. DE GALICIA, 42 |  | ASTURIAS | 33212 | 985309303 | 985324949 | www.hotel44.es | 33 | 0 | Commercial | Hotel Accommodation and Meet | De Pago | npro-ib/BENOIN.PATRICK
Hotel Chains | Compra centralizada | HOTE00005 | HOTEL (**) | PHOTE00003 | 4C BRAVO MURILLO | BRAVO MURILLO, 180 |  | MADRID | 28020 | 915670882 |  |  | 92 | 0 | Commercial | Hotel Accommodation and Meet | De Pago | npro-ib/BENOIN.PATRICK
Spreadsheet: darrell_schoolcraft__7531__TW Recap UAF Jan 2002-MMBtu only
Sheet: TW 2001 & 2002 DTH COMPARISON

[NAME]
Calculation of System Gain or (Loss) - in Dth
12 Month History
 | JANAURY | FEBRUARY | [NAME] | APRIL | MAY | [NAME] | JULY | AUGUST | SEPTEMBER | OCTOBER | NOVEMBER | DECEMBER
 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | 2002 | TOTAL
Measured Rec.
Measured Del.
Del. Subtotal
Measured Imbal.
%
Measured Adj. Imbal
%
[NAME] | 55561689
Pipeline Deliveries | 55740249
Pipeline Company Use | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Shrinkage | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Del. Subtotal
Starting Imbalance Dth
%
 | JANAURY | FEBRUARY | [NAME] | APRIL | MAY | [NAME] | JULY | AUGUST | SEPTEMBER | OCTOBER | NOVEMBER | DECEMBER
 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | 2001 | TOTAL
Measured Rec. | 103863226 | 94543519 | 101491769
Measured Del. | 103317284 | 93929128 | 100893159
Del. Subtotal
Measured Imbal.
%
Measured Adj. Imbal
%
[NAME] | 56357459 | 50983916 | 56484047 | 55269884 | 57033458 | 57524028 | 58769535 | 60167358 | 54918872 | 57465244 | 53537114 | 53276035
Pipeline Deliveries | 55811517 | 50369525 | 55885437 | 55433633 | 57229431 | 57797568 | 58805612 | 60237555 | 54912793 | 57539595 | 53555769 | 53309276
Pipeline Company Use | 635520 | 570076 | 638720 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] | -17746 | 33996 | 107280 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Shrinkage | 8437 | 3678 | 29417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Del. Subtotal
Starting Imbalance Dth
%
Spreadsheet: bf1fda19-961c-482d-b9e9-ed8476a81099
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
[NAME], Stadt - Variante 2
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 20 | 2892 | 3034 | 3078 | 2920
20 - 25 | 977 | 512 | 550 | 607
25 - 35 | 2094 | 1979 | 1518 | 1183
35 - 55 | 5251 | 5004 | 4617 | 4374
55 - 67 | 2711 | 2924 | 3243 | 3241
67 und mehr | 4449 | 4266 | 4236 | 4278
Insgesamt | 18374 | 17719 | 17242 | 16603
%
unter 20 | 15.73963208882116 | 17.12286246402167 | 17.85175733673588 | 17.58718303920978
20 - 25 | 5.317296179383912 | 2.889553586545516 | 3.189885164134091 | 3.655965789315184
25 - 35 | 11.39653858713399 | 11.16880185112027 | 8.804083053010093 | 7.125218334036018
35 - 55 | 28.57842603679111 | 28.24087138100344 | 26.77763600510382 | 26.34463651147383
55 - 67 | 14.7545444650049 | 16.50205993566228 | 18.8087228859761 | 19.52056857194483
67 und mehr | 24.21356264286491 | 24.07585078164682 | 24.56791555504002 | 25.76642775402036
Insgesamt | 100 | 100 | 100 | 100
Gebietsstand: | 1. Januar 2012
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: 220959d1363327683-please-help-max-function-with-multiple-criteria-mortgage-ans
Sheet: Sheet2

Years
Mortgage 15 20 25 30 35 | 15 | 20 | 25 | 30 | 35
250000 | 1830.48 | 1495.26 | 1298.97 | 1172.02 | 1084.56
260000 | 1903.7 | 1555.07 | 1350.93 | 1218.9 | 1127.94
270000 | 1976.92 | 1614.89 | 1402.89 | 1265.78 | 1171.32
280000 | 2050.14 | 1674.7 | 1454.85 | 1312.66 | 1214.7
290000 | 2123.36 | 1734.51 | 1506.81 | 1359.54 | 1258.09
300000 | 2196.58 | 1794.32 | 1558.77 | 1406.42 | 1301.47
310000 | 2269.8 | 1854.13 | 1610.73 | 1453.31 | 1344.85
320000 | 2343.02 | 1913.94 | 1662.69 | 1500.19 | 1388.23
330000 | 2416.24 | 1973.75 | 1714.65 | 1547.07 | 1431.61
340000 | 2489.46 | 2033.56 | 1766.61 | 1593.95 | 1475
350000 | 2562.68 | 2093.37 | 1818.56 | 1640.83 | 1518.38
Maximum Affordable Monthly Payment $1,500
# years Max. Mortgage |  |  | 1500 | 1500
15
20 | 250000
25 | 280000 |  |  |  |  | [NAME] here
30 | 310000
35 | 340000
Spreadsheet: f5232282-db82-4fd6-a6c2-f58806bd476b
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
LEPD | Test | LEPD | Lepidoglyphus destructor, IgE | Lepidoglyphus Destructor, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday, 9 a.m.-8 p.m., Saturday 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
LEPD | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
LEPD | Result | LEPD | Lepidoglyphus Destructor, IgE | Lepidoglyphus Destructor, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6160-6
Spreadsheet: 857294d1706297939-conditional-formatting-excel-help-conditional-formatting-template
Sheet: Sheet1

Follow Up | State | Client Name | CAR
 | WY | [NAME], [NAME] | 2023-01-22 00:00:00
 | WY | Jordan, [NAME] | 2021-11-12 00:00:00
 | WY | [NAME], [NAME] | 2023-02-12 00:00:00
 | WY | [NAME], [NAME]
 | WY | Doe, [NAME] | 2024-01-10 00:00:00
 | WY | [NAME], [NAME]
 | WY | Gump, Forest | 2022-10-11 00:00:00
Follow Up | State | Client Name | CAR
 | WY | [NAME], [NAME] | 2023-01-22 00:00:00
 | WY | Jordan, [NAME] | 2021-11-12 00:00:00
 | WY | [NAME], [NAME] | 2023-02-12 00:00:00
 | WY | [NAME], [NAME]
 | WY | Doe, [NAME] | 2024-01-10 00:00:00
 | WY | [NAME], [NAME]
 | WY | Gump, Forest | 2022-10-11 00:00:00