tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 837871d1690471560-margin-calculator-help-please-test-2023-hd
Sheet: Sheet1

 |  |  | Input here |  |  |  |  |  |  | Input here
 |  | Sheet Price | sheet length | sheet width | thickness of sheet | sheet volume | sheet weight g | sheet area | Material Cost | Qty of sheets | Material Cost of sheets | Suggesteed Sell Price | Fees | Total selling fees with Material cost | Postage Cost | Total shipped Cost | Profit | Margin
 | 0.5mm | 15 | 300 | 200 | 0.5 |  |  |  |  | 1 |  |  |  |  | 1.1 |  |  | 0.7346
 | 1mm | 20 | 300 | 200 | 1 |  |  |  |  | 1 |  |  |  |  | 1.6 |  |  | 0.6972
 | 1.5mm |  | 300 | 200 | 1.5 |  |  |  |  | 1 |  |  |  |  | 2.25 |  |  | 0.1
 | 2mm |  | 300 | 200 | 2 |  |  |  |  | 1 |  |  |  |  | 2.25 |  |  | 0.15
 | 3mm |  | 300 | 200 | 3 |  |  |  |  | 1 |  |  |  |  | 2.95 |  |  | 0.2
 | 4mm |  | 300 | 200 | 4 |  |  |  |  | 1 |  |  |  |  | 2.95 |  |  | 0.15
 | 6mm |  | 300 | 200 | 6 |  |  |  |  | 1 |  |  |  |  | 3.3 |  |  | 0.3
 | 8mm |  | 300 | 200 | 8 |  |  |  |  | 1 |  |  |  |  | 3.3 |  |  | 0.4
 | 10mm |  | 300 | 200 | 10 |  |  |  |  | 1 |  |  |  |  | 3.69 |  |  | 0.5
 | 1.1 | upto 100g sml letter | 24 x 16.5 x 0.5 |  |  |  |  |  |  |  | 1
 | 1.6 | upto 100g lrg letter | 35.3 x 25 x 2.5
 | 2.25 | upto250g | 35.3 x 25 x 2.5
 | 2.95 | upto 500g | 35.3 x 25 x 2.5
 | 3.3 | upto 750g | 35.3 x 25 x 2.5
 | 3.69 | sml parcel 2kg | 45 x 35 x 16
 | 5.29 | med parcel 2kg | 61 x 46 x 46
 | 6.99 | med parcel 10kg | 61 x 46 x 46
 | 10.99 | med parcel 20kg | 61 x 46 x 46
 | 4.44 | 48 hour courier upto 2kg | upto 120cm long combined lgth & circum of 245cm.
 | 5.96 | 48 hour courier upto 5kg | upto 120cm long combined lgth & circum of 245cm.
0.85
Spreadsheet: 789090d1658904379-can-we-use-multiple-cells-in-averageif-function-qa_ex-aligw
Sheet: Sheet1

ABC | 1 |  |  | ABC | 1
 | 10 |  |  |  | 10
XYZ | 5 |  |  | XYZ | 5
 | 12 |  |  |  | 0
YZB | 2 |  |  | YZB | 2
 | 10 |  |  |  | 10
GZB | 7 |  |  | GZB | 7
 | 15 |  |  |  | 15
Spreadsheet: 87183d1287045961-wierd-date-format-sample
Sheet: Sheet1

Agent Name | AHT
Prabha Panicker | 01:07:20
[NAME] | 01:12:24
Tanuja Parab | 02:27:00
[NAME] | 03:01:00
Deepali More | 03:35:20
[NAME] | 04:09:00
[NAME] | 06:01:00
[NAME] | 06:15:00
Abhijeet Mathure | 07:09:00
Aadil Dhanani | 06:19:55
VrejMohan Nair | 06:39:30
[NAME] | 06:51:00
Rohan Naik | 07:16:09
Sumit Nazare | 07:20:19
[NAME] | 07:43:10
Shaziya Qureshi | 08:53:44
Nikita Gudhka | 09:34:30
[NAME] | 09:57:44
Spreadsheet: kevin_ruscitti__20327__NGPL_StorageE_Test
Sheet: Contract Discrep

 |  | Contract |  |  |  |  |  | Actual
 |  | # 114786 |  | #114846 |  | Total |  | # 114786 |  | #114846 |  | Total
In Ground:
STX: |  | 429201 |  | 333276 |  |  |  | 429201 |  | 333276 |  |  |  |  | Confirm w/ [NAME] on 12/6.
LA: |  | 708691 |  | 452328 |  |  |  | 488691 |  | 672328
M/L: |  | 0 |  | 0 |  | 0 |  | 13333 |  | -13333
Total Storage:
Hole |  | 1371225 |  | 999975 |  |  |  | 1371225 |  | 999975
Availibility
Inj Rate |  | 6020 |  | 4400 |  |  |  | 6020 |  | 4400
Days in Dec |  | 31 |  | 31 |  | 31 |  | 31 |  | 31 |  | 31
Dec Inj Capability
Dec 31 Storage Level
[NAME]
Gas Inj Discrepancy: |  |  | - |  | =
Dec - Jan Spread: |  |  |  |  |  | 0.15 |  |  |  | Ties w/ Schweiger's #.
Lost Profit:
Spreadsheet: a70a448d-2216-4ede-b8af-c4e05094778c
Sheet: Page 1

Permit No.: |  |  | WQ0002708 |  |  | Facility Name: |  | [NAME] |  |  |  |  |  | County: | Wake |  | Month: |  |  | Year:
Did irrigation occur    at this facility? |  |  |  |  |  | Field Name: |  | 01A |  | Field Name: |  | 01B |  | Field Name: |  | 02A |  | Field Name: |  | 02B
 |  |  |  |  |  | Area (acres): |  | 19.6 |  | Area (acres): |  | 16.18 |  | Area (acres): |  | 20.24 |  | Area (acres): |  | 20.15
 |  |  |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop:
 |  |  |  |  |  | [NAME] (in): |  | 0.11 |  | [NAME] (in): |  | 0.13 |  | [NAME] (in): |  | 0.15 |  | [NAME] (in): |  | 0.13
 |  |  |  |  |  | Annual Rate (in): |  | 26 |  | Annual Rate (in): |  | 26.9 |  | Annual Rate (in): |  | 36.7 |  | Annual Rate (in): |  | 28.9
Day | Weather |  |  | Freeboard |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated?
 | Weather Code | Temperature | Precipitation | Storage | 5-Day Upset (if applicable) | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time    Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading
 |  | ºF | in | ft | ft | gal | min | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Monthly Loading:
12 Month Floating Total (in):
Spreadsheet: 865102d1712166403-complex-index-match-to-calculate-weight-progression-from-a-data-table-with-two-variables-rpe-chart-with-new-formulas
Sheet: Ark1

 |  |  |  |  |  |  |  |  |  | RPE range 1-10
 |  |  |  |  |  |  |  |  |  | [NAME] range = 1-12
 |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12
 |  |  |  |  |  |  | 10 | 1 | 0.955 | 0.922 | 0.892 | 0.863 | 0.837 | 0.811 | 0.786 | 0.762 | 0.739 | 0.707 | 0.68
 |  |  |  |  |  |  | 9.5 | 0.978 | 0.939 | 0.907 | 0.878 | 0.85 | 0.824 | 0.799 | 0.774 | 0.751 | 0.723 | 0.694 | 0.667
 |  |  |  |  |  |  | 9 | 0.955 | 0.922 | 0.892 | 0.863 | 0.837 | 0.811 | 0.786 | 0.762 | 0.739 | 0.707 | 0.68 | 0.653
 |  |  |  |  |  |  | 8.5 | 0.939 | 0.907 | 0.878 | 0.85 | 0.824 | 0.799 | 0.774 | 0.751 | 0.723 | 0.694 | 0.667 | 0.64
 |  |  |  |  |  |  | 8 | 0.922 | 0.892 | 0.863 | 0.837 | 0.811 | 0.786 | 0.762 | 0.739 | 0.707 | 0.68 | 0.653 | 0.626
 |  |  |  |  |  |  | 7.5 | 0.907 | 0.878 | 0.85 | 0.824 | 0.799 | 0.774 | 0.751 | 0.723 | 0.694 | 0.667 | 0.64 | 0.613
 |  |  |  |  |  |  | 7 | 0.892 | 0.863 | 0.837 | 0.811 | 0.786 | 0.762 | 0.739 | 0.707 | 0.68 | 0.653 | 0.626 | 0.599
 |  |  |  |  |  |  | 6.5 | 0.878 | 0.85 | 0.824 | 0.799 | 0.774 | 0.751 | 0.723 | 0.694 | 0.667 | 0.64 | 0.613 | 0.586
 |  |  |  |  |  |  | 6 | 0.863 | 0.833142857142857 | 0.808571428571429 | 0.784464285714286 | 0.760678571428571 | 0.7375 | 0.712785714285714 | 0.682642857142857 | 0.652642857142857 | 0.624821428571429 | 0.599357142857143 | 0.572357142857143
 |  |  |  |  |  |  | 5.5 | 0.842166666666667 | 0.818119047619047 | 0.794559523809524 | 0.771178571428571 | 0.747940476190476 | 0.725166666666667 | 0.700488095238095 | 0.669452380952381 | 0.63870238095238 | 0.610809523809524 | 0.585880952380953 | 0.558880952380953
 |  |  |  |  |  |  | 5 | 0.825166666666667 | 0.803119047619047 | 0.781559523809524 | 0.758178571428571 | 0.735940476190476 | 0.713166666666667 | 0.688488095238095 | 0.656452380952381 | 0.62570238095238 | 0.597809523809524 | 0.572880952380953 | 0.545880952380953
 | Example
 |  | Weight | [NAME] | RPE | Corresponding percentage | E1RM
 | Week 1 | 200 | 5 | 7
 | Week 2 |  | 5 | 8
Spreadsheet: 1b65d9f7-9201-4d4a-9e72-d4be7f99fb13
Sheet: Sheet1

2012 Minnesota Comprehensive Assessments-Modified | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14
Grade 5 Reading |  |  | Grade 6 Reading |  |  | Grade 7 Reading |  |  | [NAME] |  |  | Grade 10 Reading
Raw Score | Scale Score | Level | Raw Score | Scale Score | Level | Raw Score | Scale Score | Level | Raw Score | Scale Score | Level | Raw Score | Scale Score | Level
0 | 130 | D | 0 | 108 | D | 0 | 112 | D | 0 | 138 | D | 0 | 137 | D
1 | 146 | D | 1 | 127 | D | 1 | 130 | D | 1 | 151 | D | 1 | 150 | D
2 | 155 | D | 2 | 139 | D | 2 | 141 | D | 2 | 159 | D | 2 | 158 | D
3 | 160 | D | 3 | 146 | D | 3 | 147 | D | 3 | 164 | D | 3 | 163 | D
4 | 164 | D | 4 | 151 | D | 4 | 152 | D | 4 | 168 | D | 4 | 167 | D
5 | 168 | D | 5 | 155 | D | 5 | 156 | D | 5 | 171 | D | 5 | 170 | D
6 | 170 | D | 6 | 159 | D | 6 | 159 | D | 6 | 173 | D | 6 | 172 | D
7 | 173 | D | 7 | 162 | D | 7 | 162 | D | 7 | 176 | D | 7 | 175 | D
8 | 175 | D | 8 | 165 | D | 8 | 165 | D | 8 | 178 | D | 8 | 177 | D
9 | 177 | D | 9 | 167 | D | 9 | 167 | D | 9 | 179 | D | 9 | 179 | D
10 | 179 | D | 10 | 170 | D | 10 | 170 | D | 10 | 181 | D | 10 | 180 | D
11 | 181 | D | 11 | 172 | D | 11 | 172 | D | 11 | 183 | D | 11 | 182 | D
12 | 183 | D | 12 | 174 | D | 12 | 174 | D | 12 | 184 | D | 12 | 184 | D
13 | 184 | D | 13 | 177 | D | 13 | 176 | D | 13 | 186 | D | 13 | 185 | D
14 | 186 | D | 14 | 179 | D | 14 | 178 | D | 14 | 187 | D | 14 | 187 | D
15 | 187 | D | 15 | 181 | D | 15 | 179 | D | 15 | 189 | D | 15 | 188 | D
16 | 189 | D | 16 | 183 | D | 16 | 181 | D | 16 | 190 | P | 16 | 190 | P
17 | 190 | P | 17 | 185 | D | 17 | 183 | D | 17 | 192 | P | 17 | 191 | P
18 | 192 | P | 18 | 187 | D | 18 | 185 | D | 18 | 193 | P | 18 | 192 | P
19 | 194 | P | 19 | 189 | D | 19 | 187 | D | 19 | 194 | P | 19 | 194 | P
20 | 195 | P | 20 | 190 | P | 20 | 188 | D | 20 | 196 | P | 20 | 195 | P
21 | 197 | P | 21 | 193 | P | 21 | 190 | P | 21 | 197 | P | 21 | 197 | P
22 | 198 | P | 22 | 195 | P | 22 | 192 | P | 22 | 199 | P | 22 | 198 | P
23 | 200 | M | 23 | 197 | P | 23 | 194 | P | 23 | 200 | M | 23 | 200 | M
24 | 202 | M | 24 | 200 | M | 24 | 196 | P | 24 | 202 | M | 24 | 201 | M
25 | 203 | M | 25 | 202 | M | 25 | 198 | P | 25 | 203 | M | 25 | 203 | M
26 | 206 | E | 26 | 204 | M | 26 | 200 | M | 26 | 205 | E | 26 | 205 | M
27 | 207 | E | 27 | 207 | E | 27 | 203 | M | 27 | 207 | E | 27 | 207 | M
28 | 210 | E | 28 | 210 | E | 28 | 206 | M | 28 | 209 | E | 28 | 209 | E
29 | 212 | E | 29 | 213 | E | 29 | 207 | E | 29 | 211 | E | 29 | 211 | E
30 | 215 | E | 30 | 216 | E | 30 | 212 | E | 30 | 213 | E | 30 | 213 | E
31 | 218 | E | 31 | 221 | E | 31 | 216 | E | 31 | 216 | E | 31 | 216 | E
32 | 222 | E | 32 | 226 | E | 32 | 221 | E | 32 | 220 | E | 32 | 220 | E
33 | 228 | E | 33 | 233 | E | 33 | 227 | E | 33 | 225 | E | 33 | 225 | E
34 | 237 | E | 34 | 244 | E | 34 | 238 | E | 34 | 233 | E | 34 | 233 | E
35 | 252 | E | 35 | 264 | E | 35 | 256 | E | 35 | 246 | E | 35 | 247 | E
Spreadsheet: 481482d1474481631-certain-data-pulling-up-in-a-range-of-data-sets-and-wanting-any-info-to-pull-up-along-it-example-to-pull-up-data
Sheet: Sheet2

 |  |  |  |  | I want this to only pull up the only the digits starting from "1000……"
 |  |  |  |  | also I want the other coloumn's data to align when it pulls out the "1000….."
 |  |  |  |  | so for example when "[PHONE] is pulled up so is the data info and des detail fancy black
 |  |  | Search |  | Data set 1 | data info | des detail
 |  |  | 1000
Spreadsheet: 811828d1672824168-identify-last-entry-and-display-data-staff-work-allocations-2023-v2-1-1-
Sheet: 2023

 |  |  | WRAPPING (R) |  | Wrapping (%) |  | AUTOCLAVE (A) | AUTOCLAVE (%) |  | BOOKING ON (B) | BOOKING ON (%) |  | WASH EMPTY (E) | WASH EMPTY (%) |  | PORTERING (P) | PORTERING (%) |  | WASH (W) | WASH (%) |  | JANUARY
SURNAME | FIRST NAME |  |  | Last Date |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023-01-01 00:00:00 |  | 2023-01-02 00:00:00 |  | 2023-01-03 00:00:00 |  | 2023-01-04 00:00:00 |  | 2023-01-05 00:00:00 |  | 2023-01-06 00:00:00 |  | 2023-01-07 00:00:00 |  | 2023-01-08 00:00:00 |  | 2023-01-09 00:00:00 |  | 2023-01-10 00:00:00
aaaa | aaaaa
aaaaa | aaaaa
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | r |  | a |  | b |  | w |  | e |  |  | r |  |  | r
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | r |  | a |  | b |  | w |  | e |  |  | r |  |  | r
Spreadsheet: 2f8fed94-fab4-4264-9e0f-ae6e4e67e2bf
Sheet: Supplementary_Table_S8

Supplementary Table S8. Raw sequence reads generated from adult Fasciola gigantica re-mapped to known F. gigantica cathepsinsa
Description | [NAME] | Mapped reads | Length (bp) | RPKMc
Cathepsin L
gb|AF510856.1| Fasciola gigantica cathepsin L2 mRNA, complete cds | Cathepsin L clade 1 (FgCL1C_id) | 429811 | 1068 | 214634.3417044077
gb|AF112566.1|AF112566 Fasciola gigantica cathepsin (cat-L1) mRNA, complete cds | Cathepsin L clade 1 (FgCL1C_thA) | 360709 | 981 | 196101.4967642769
gb|AF239264.1|AF239264 Fasciola gigantica cathepsin L (cat-L1B) mRNA, complete cds | Cathepsin L clade 1 (FgCL1C_thB) | 342034 | 981 | 185948.7269357645
gb|AF239267.1|AF239267 Fasciola gigantica cathepsin L (cat-L1E) mRNA, partial cds | Cathepsin L clade 1 (FgCL1) | 191632 | 660 | 154852.0767197851
[NAME] gigantica cathepsin (cat-L1) mRNA, complete cds | Cathepsin L clade 1 (FgCL1) | 220132 | 981 | 119676.0122029498
gb|AF239266.1|AF239266 Fasciola gigantica cathepsin L (cat-L1D) mRNA, complete cds | Cathepsin L clade 2 (FgCL2_thD) | 212037 | 981 | 115275.1194713938
gb|EU156180.1| Fasciola gigantica cathepsin L (cat-L4) mRNA, partial cds | not classified | 41992 | 907 | 24691.76926961077
gb|EU156179.1| Fasciola gigantica cathepsin L (cat-L1F) mRNA, partial cds | not classified | 32374 | 805 | 21448.32685874747
gb|AF239265.1|AF239265 Fasciola gigantica cathepsin L (cat-L1C) mRNA, complete cds | Cathepsin L clade 5 (FgCL5_thC) | 16540 | 981 | 8992.064951196506
gb|EU156178.1| Fasciola gigantica cathepsin L (cat-L3) mRNA, partial cds | not classified | 3933 | 825 | 2542.511554391396
gb|AF419329.1| Fasciola gigantica cathepsin L mRNA, complete cds | Cathepsin L clade 3 (FgCL3_thG) | 42 | 1091 | 20.53134861348809
gb|AY428949.1| Fasciola gigantica cathepsin L (cat-L1H) mRNA, complete cds | Cathepsin L clade 4 (FgCL4_thH) | 28 | 1097 | 13.61270211930447
Cathepsin B
gb|AY227673.1| Fasciola gigantica cathepsin B (cat-B1) mRNA, complete cds | Cathepsin B clade 1 | 567 | 1008 | 299.9960000533326
gb|AY227675.1| Fasciola gigantica cathepsin B (cat-B3) mRNA, complete cds | Cathepsin B clade 2 | 2 | 1159 | 0.9203213499862567
a Transcriptomic sequences (generated by Illumina sequencing) from the adult stage of Fasciola gigantica, re-mapped to sequences for cathepsins B and L from F. gigantica available in the NCBI non-redundant database (http://ncbi.nlm.nih.gov/)
b Cathepsins were classified into families and clades based on exisiting nomenclature (see [NAME] et al. 2008 and [NAME] et al. 2004)
c Sequences ranked based on their relative level of transcription inferred from the number of mapped raw sequence reads per kilobase per million reads (RPKM).
Spreadsheet: 761752d1641203154-dynamic-dropdown-in-excel-dnamic-dropdown-1-
Sheet: JE

 |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  | ERP
 |  |  |  |  |  |  |  |  |  | DS
 |  |  |  |  |  | 4 |  |  | 2 |  | 3
Line Items: | Code | key | Account | Currency | Amount | SrcAcct | CC | PC | CoCode | Text | [NAME]
 |  |  |  |  |  | 6211 |  |  | 5024
Spreadsheet: 50314d1249675800-sales-sheet-advanced-if-sumif-question-sample-sales
Sheet: Sales

SALES
Last | First | [NAME] | Item | Qty. | Cost
[NAME] | [NAME] | rn6 | Product X | 3 | 12
[NAME] | [NAME] | tj3 | Product Y | 3 | 367
Lincoln | [NAME] | al8 | Product A | 4 | 52
[NAME] | [NAME] | rn6 | Product B | 7 | 43
[NAME] | [NAME] | rn6 | Product T | 4 | 86
Lincoln | [NAME] | al8 | Product Y | 3 | 220
Roosevelt | Teddy | tr9 | Product A | 2 | 98
Roosevelt | Franklin | fr4 | [NAME] | 2 | 68
[NAME] | [NAME] | tj3 | Product M | 6 | 104
Spreadsheet: 136357d1326567001-line-graph-question-line-graph
Sheet: 12_Double Moving Average

 |  | Moving | Dbl Moving
Year | Sales | Average | Average | Level | Trend | Forecast
1 | 114400 | -- | -- | -- | -- | --
2 | 115300 |  | -- | -- | -- | --
3 | 124700 |  |  |  |  | -- |  |  |  |  |  |  |  |  | this is what I would like to make
4 | 126600
5 | 129300
6 | 133500
7 | 135800
8 | 141800
9 | 150500
10 | 159100
11 | 168300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | this is my attempt
12 | 176200 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | even if I hide the first few segements
13 | 185300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | you will notice that the y axis
14 | -- | -- | -- | -- | -- |  |  | MSE = |  |  |  |  |  |  |  | starts at $0 instead of $100,000 (better)
15 | -- | -- | -- | -- | --
 | 12. Student file:  FamilyHomePrices.xls
 | Create a double moving average model (with k = 2) for the data set.
 | [NAME] a line graph comparing the double moving average predictions against the original data.
 | [NAME]What are the forecasts for the next two years using this technique?
 | 12 | a. | See file: Prb11_12.xlsx.
 |  | b. | Forecast for year 14 = 172250 + 1×8500 = 180750
 |  |  | Forecast for year 15 = 172250 + 2×8500 = 189250
Spreadsheet: 377558d1424056728-autocomplete-and-autolookup-as-i-type-plus-copy-data-full-kids-ministry-roll-test
Sheet: Child Info

Children's Ministry Complete List
Name | D.O.B | Current Age | Year | Kids Program | [NAME] | Dad | Siblings | T/T | Allergies | Photo Auth. |  |  | [NAME] | Other
[NAME] | 2015-01-05 00:00:00 |  |  | Too Young
[NAME] | 2014-08-19 00:00:00 |  |  | Too Young
Nadine Barry | 2014-05-07 00:00:00 |  |  | Too Young
Eugenia Boone |  |  |  | Too Young
[NAME] | 2014-01-04 00:00:00 |  |  | Creche
[NAME] | 2013-11-01 00:00:00 |  |  | Creche
Ivy Cameron | 2013-09-15 00:00:00 |  |  | Creche
[NAME] | 2013-05-19 00:00:00 |  |  | Creche
[NAME] | 2013-05-08 00:00:00 |  |  | Creche
[NAME] | 2013-03-02 00:00:00 |  |  | Creche
[NAME] | 2013-01-06 00:00:00 |  |  | Creche
Leah Cline | 2012-12-17 00:00:00 |  |  | Creche
[NAME] | 2012-02-02 00:00:00 |  |  | Creche
[NAME] |  |  |  | Creche
Upton Wise | 2011-12-02 00:00:00 |  |  | Explorers
[NAME] | 2011-11-29 00:00:00 |  |  | Explorers
Alika Quinn | 2011-07-29 00:00:00 |  |  | Explorers
Yen Peck | 2011-04-02 00:00:00 |  | Preschool | Explorers
[NAME] | 2010-11-14 00:00:00 |  | Preschool | Explorers
[NAME] | 2010-05-27 00:00:00 |  | Preschool | Explorers
[NAME] | 2010-08-31 00:00:00 |  | Preschool | Kids Church
[NAME] | 2010-08-05 00:00:00 |  | Preschool | Kids Church
[NAME] | 2010-05-21 00:00:00 |  | K | Kids Church
[NAME] | 2010-02-22 00:00:00 |  | K | Kids Church
Faith Guerra | 2010-02-22 00:00:00 |  | K | Kids Church
[NAME] | 2009-08-09 00:00:00 |  | 1 | Kids Church
[NAME] | 2009-07-23 00:00:00 |  | K | Kids Church
Steel Frost | 2009-03-04 00:00:00 |  | 1 | Kids Church
[NAME] | 2009-01-25 00:00:00 |  | 1 | Kids Church
[NAME] | 2008-11-18 00:00:00 |  | 1 | Kids Church
[NAME] [NAME] | 2008-09-18 00:00:00 |  | 1 | Kids Church
Mikayla Hutchinson | 2008-03-12 00:00:00 |  | 2 | Kids Church
[NAME] | 2007-07-31 00:00:00 |  | 2 | Kids Church
Emery Nicholson | 2007-07-26 00:00:00 |  | 2 | Kids Church
[NAME] | 2007-07-10 00:00:00 |  | 2 | Kids Church
[NAME] | 2007-05-02 00:00:00 |  | 2 | Kids Church
Jamal Camacho | 2007-02-09 00:00:00 |  |  | Kids Church
[NAME] |  |  | 2 | Kids Church
Chastity Durham |  |  | 6 | [NAME]
[NAME] |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
Daquan Hull |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
Buffy Knowles |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
Yen Scott |  |  | 7 | Older
[NAME] |  |  | 7 | Older
[NAME] |  |  | 7 | Older
[NAME] |  |  | 7 | Older
[NAME] |  |  | 7 | Older
[NAME] |  |  | 9 | Older
Kimberly Rhodes | 2013-09-14 00:00:00 |  |  | Left
Marny Fleming | 2010-07-27 00:00:00 |  | Preschool | Left
[NAME] | 2010-07-15 00:00:00 |  |  | Left
[NAME] | 2010-02-08 00:00:00 |  |  | Left
Kirestin Delaney | 2009-09-29 00:00:00 |  |  | Left
[NAME] | 2008-10-19 00:00:00 |  |  | Left
Lillith Ellis | 2008-09-26 00:00:00 |  | 1 | Left
[NAME] | 2008-06-29 00:00:00 |  |  | Left
[NAME] | 2008-05-16 00:00:00 |  |  | Left
[NAME] | 2007-09-18 00:00:00 |  |  | Left
 |  |  |  | Left
 |  |  |  | Left
Spreadsheet: 21837d1209917714-need-help-with-formulas-buy-7-get-1-free
Sheet: Sheet1

This Order | Free | Fractional | Total Orderd YTD
6 | 0 | 0.8571428571428571 | 6
7 | 1 | 1.857142857142857 | 13
3 | 1 | 2.285714285714286 | 16
16 | 2 | 4.571428571428571 | 32
Spreadsheet: 858388d1707109269-copying-data-from-daily-time-break-sheet-test-42-ans
Sheet: Tue

 | 2024-01-02 00:00:00 | 2024-01-09 00:00:00 | 2024-01-16 00:00:00 | 2024-01-23 00:00:00 | 2024-01-30 00:00:00
TimeSlice | Tuesday | Tuesday | Tuesday | Tuesday | Tuesday
08:15:00
08:30:00
08:45:00
09:00:00
09:15:00
09:30:00
09:45:00
10:00:00
10:15:00
10:30:00
10:45:00
11:00:00
11:15:00
11:30:00
11:45:00
12:00:00
12:15:00
12:30:00
12:45:00
13:00:00
13:15:00
13:30:00
13:45:00
14:00:00
14:15:00
14:30:00
14:45:00
15:00:00
15:15:00
15:30:00
15:45:00
16:00:00
16:15:00
16:30:00
16:45:00
17:00:00
17:15:00
17:30:00
17:45:00
18:00:00
18:15:00
18:30:00
18:45:00
19:00:00
19:15:00
19:30:00
19:45:00
20:00:00
20:15:00
20:30:00
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21:00:00
21:15:00
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21:45:00
22:00:00
22:15:00
22:30:00
22:45:00
23:00:00
23:15:00
23:30:00
23:45:00
00:00:00
00:15:00
00:30:00
00:45:00
01:00:00
01:15:00
Spreadsheet: 146114d1331904951-extract-from-1-sheet-to-many-sum-total-not-working-extract-from-1-sheet-to-many-sheets
Sheet: DAVE BELL

SAMPLE CYCLE TEST RUNS
[NAME] | TECHNICIAN | CYCLE A |  | CYCLE B |  | CYCLE C |  | CYCLE D |  | CYCLE E |  | CYCLE F
 |  | P | Chart | P | Chart | P | Chart | P | Chart | P | Chart | P | Chart
RUN 2 | [NAME] | 3 | 14.A | 20 | 9.A | 17 | 4.DA | 19 | 11.AC | 21 | 7.ZA | 22 | 12.AE
TOTALS |  | 3 |  | 20 |  | 17 |  | 19 |  | 21 |  | 22
Spreadsheet: 268392d1380618318-yet-another-count-question-data
Sheet: Ark1

Country | zip codes (examples) | # country | # unique zipcodes
Germany | 10050 | 3 | 2
Germany | 10054
Germany | 10050
Norway | 598 | 2 | 2
Norway | 596
Denmark | 8000 | 2 | 2
Denmark | 7000
Norway | 568 | 1 | 1
Denmark | 7000 | 2 | 1
Denmark | 7000
Germany | 10050 | 1 | 1
Norway | 598 | 3 | 2
Norway | 596
Norway | 598
Spreadsheet: 803811d1667722370-sorting-problem-based-on-column-a-month-forumhelp116
Sheet: Sheet1

MONTH |  | SORT
Nov |  | Jan
September |  | January
January |  | Feb
Apr |  | Feb
May |  | February
March |  | Mar
Oct |  | March
May |  | March
Jan |  | March
April |  | Apr
July |  | Apr
October |  | April
August |  | May
March |  | May
March |  | Jul
Sep |  | Jul
Sep |  | July
Mar |  | Aug
Nov |  | August
Jul |  | Sep
February |  | Sep
Aug |  | September
Feb |  | September
September |  | September
Apr |  | Oct
Nov |  | October
October |  | October
September |  | Nov
Feb |  | Nov
Jul |  | Nov
November |  | Nov
December |  | November
Nov |  | November
Dec |  | Dec
December |  | December
November |  | December
Spreadsheet: 358633d1415900080-average-stock-price-after-buying-and-selling-only-for-specific-ticker-example
Sheet: Sheet1

 | Action | Ticker | Shares | Price |  |  |  | Ticker | Shares held | Average Price
 | BUY | AAPL | 100 | 102 |  |  |  | AAPL | ? | ?
 | BUY | AAPL | 50 | 104
 | BUY | GOOGL | 10 | 500
 | Sell | AAPL | 70 | 103