Can somebody help me with this? In the first column I have a serial number, and in the second column - start number of the interval (which are less than in the third column), and in the third column - the end number. Now, I need to summarize the start number and end number according to their serial number which come are in sequence. Thank You in advance!
301 1 15
301 16 25
301 26 50
301 51 60
300 71 80
300 81 90
300 91 100
303 200 250
303 251 300
303 301 350
303 351 370
301 500 520
301 521 550
301 551 600
e.g.
301 1-60
300 71-100
303 200-370
301 500-600
I would do the following (I assume your data is in A1:C100, and your results start in E1):
=UNIQUE($A$1:$A$100) to get all the unique serial numbers
=MIN(FILTER($B$1:$B$100, $A$1:$A$100=$E1)) to get the minimums for each serial number
=MAX(FILTER($C$1:$C$100, $A$1:$A$100=$E1)) to get the maximums for each serial number
Related
I was following this question to address a similar situation:
How to Calculate Area Under the Curve in Spotfire?
My data is in the following format:
PLANT
OBS_DATE_RECORDED
TRAIT_VALUE
period
A
3/16/2021
225
A3/16/2021
A
3/23/2021
227
A3/23/2021
A
3/30/2021
220
A3/30/2021
A
4/7/2021
240
A4/7/2021
A
4/13/2021
197
A4/13/2021
A
4/20/2021
197
A4/20/2021
A
4/27/2021
218
A4/27/2021
B
3/16/2021
253
B3/16/2021
B
3/23/2021
274
B3/23/2021
B
3/30/2021
271
B3/30/2021
B
4/7/2021
257
B4/7/2021
B
4/13/2021
250
B4/13/2021
A
4/20/2021
241
A4/20/2021
B
4/27/2021
255
B4/27/2021
Following the answer's formula as a calculated column:
([TRAIT_VALUE] + Avg([TRAIT_VALUE]) over (Intersect(NextPeriod([period]),[PLANT]))) / 2 * (Avg([OBS_DATE_RECORDED]) over (Intersect(NextPeriod([period]),[PLANT])) - [OBS_DATE_RECORDED])
However, the results don't appear correct.
AUDPC
1603.19:59:59.928
1608.17:59:59.956
2924.20:0:0.100
7732.21:0:0.000
1395.14:41:44.404
1461.23:30:0.050
-4393.7:59:59.712
I think the problem might be the date format but don't understand the formula well enough to troubleshoot. In Excel I usually compute the AUDPC by using the SUMPRODUCTS multiplying the days between two dates by the average TRAIT_VALUE between those two dates.
I'm trying to make a cohort in Excel Pivot with a dataset having:
aggregated number of monthly sign ups (month by month), aggregated number user of completed next step, number of months between sign up and the next action taken.
What I can't figure out when i do the pivot to have the cohort, is what to put into the value field in the pivot? Normally I would take the Customer IDs as value, but since I only have the data on aggregated monthly level I'm not sure if i put the number of sign ups or the number of next step completed?
Also how do I get the sum of each cohort so i can calculated the retention rate?
I hope this make sense.
Signup month Action completed month Months between sign up and action completed signups conversion to Action completed
Jan-17 Sep-18 20 95 71
Jan-17 Jan-18 12 95 77
Jan-17 Jun-18 17 96 72
Jan-17 Jan-18 12 92 78
Jan-17 Dec-18 23 91 78
Jan-17 Jul-18 18 100 73
Jan-17 Oct-18 21 92 79
Jan-17 Feb-18 13 95 70
Jan-17 Jan-18 12 91 79
Jan-17 May-18 16 93 71
Jan-17 Jun-18 17 95 72
Is this what you are looking to achieve?
REVISION #1
This layout shows the total number of signups, by the month in which the signup occurred, distributed by the number of months btwn the signup and action completed. The action completed month may be omitted and will still achieve the same result; it is there FYI only.
REVISION #2
This is an example of the average months between the signup and action. Is this what you are looking for?
When extracting and moving data, the first column of the criteria is working but the second criteria is not engaging. It is returning the movement for all stores if they had sold that item.
List of column headers.
R2=Left Len,
S2=Store
A2=Left Len,
B2=UPC,
C2=Store,
D2=Movement,
The file is just short of 900k rows of data in total.
I believe it to be an issue with Current Region.
Also need for this to return zero if there is no movement for that store. This will be repeated 39 more times to the right in order to get results for each location.
Ultimate goal is to find the Zero Movers that need to be addressed. So the rows of upc's would need to stay aligned with the criteria.
Any help would be greatly appreciated.
Using Windows 7,
Office 2016
Sub Find_Fill_Data()
Range("u2:x" & Range("x" & Rows.Count).End(xlUp).Row).ClearContents
Range("a2:D" & Range("D" & Rows.Count).End(xlUp).Row).AdvancedFilter Action:=xlFilterCopy, criteriarange:=Range("r2").CurrentRegion, copytorange:=Range("u2"), unique:=False
Range("q4").Select
End Sub
**Left Len Item 5 7 8 9**
1070002152 MILK DUDS THEATER BOX 123 254 181 196
1070002385 WHOPPERS MALT BALLS 19 0 28 42
1070002440 WHOPPERS MALT BALLS 92 188 79 133
1070002660 WHOPPERS MALT BALLS 22 21 11 22
1070006080 CANDY BAR 575 463 446 303
1070006611 WHOPPER ROBIN EGGS 22 28 25 0
1070008807 CANDY 132 57 59 0
1070008813 THEATER BOX 331 127 101 171
1070013272 J/RANCHER CRNCH CHEW ASST 61 0 0 0
1070050180 WHOPPERS MALT BALLS CARTN 119 24 99 99
I have two data sets.
Week IN US FR UK MX
1 200 550 0 1 0
2 70 257 309 33 0
3 49 306 293 49 8
4 77 308 408 53 65
5 117 341 343 59 81
.....
Week IN US FR UK MX
1 0 0 0 0 0
2 36 129 194 24 0
3 51 322 287 57 0
4 75 292 373 50 56
5 80 249 296 56 76
....
Against each week,
I have number of orders requested in the first table
I have number of orders delivered in the second table.
I want a pivot chart which shows the same
If you are using Excel 2010 or newer you could use PowerQuery, a free add-in provided by Microsoft, to unpivot and combine your two datasets. I believe in Excel 2016 PowerQuery is already included as Get & Transform.
Create a new query with PowerQuery and open the Advanced Editor. Remove any text already appearing in the editor and use the below code to get an unpivoted and combined table.
let
Requested = Table.AddColumn(Table.UnpivotOtherColumns(Excel.CurrentWorkbook(){[Name="Requested"]}[Content], {"Week"}, "Country", "Value"), "Type", each "Requested"),
Delivered = Table.AddColumn(Table.UnpivotOtherColumns(Excel.CurrentWorkbook(){[Name="Delivered"]}[Content], {"Week"}, "Country", "Value"), "Type", each "Delivered"),
Combined = Table.Combine({Requested, Delivered})
in
Combined
The first two lines after let are getting the data from your tables (assuming your two datasets are in tables named Requested and Delivered), using Table.UnpivotOtherColumns to unpivot them and then adding a column Type to indicate if the line is for a request or a delivery.
Table.Combine simply appends one table to the other (putting all the lines from the deliveries below the requests).
Close the Advanced Editor and click Close & Load in the query editor to add the query results to an Excel sheet. Using the resulting table you can easily create a pivot table that shows the combined data.
Since the query is still connected to the source tables, anytime your data changes / gets updated you can refresh the query (similar to a pivot table) to get the new data.
Column A "Sales Dates", Column B "=A2-A1" for "Date Diff", Column C "Customer Name", Column D "Item", Column E "Items Ordered Count"
My issue is I have to do a running 30 day total for each customer to see that specific items are not being ordered above "x" number within any 30-day period.
Does anyone have any ideas?
I may not be fully understanding your question, but I don't think you can do what you ask in excel. This might be a situation where a database that can do SQL might come in handy.
The best I can come up with in excel is a Pivot Table, with the customers as rows, dates as columns (group by month), and sum of Items Ordered in the data area. Then conditional format the data area to highlight values > your limit.
Perhaps if you provide some sample data & output I can come up with something more like what you need.
The formula would look something like this:
{=SUM(IF((A$2:A2>=A2-29)*(D$2:D2=D2),E$2:E2,0))}
It should be entered into cell F2 and copied down to the last row of your data. I pasted in a test spreadsheet below so you can see where things go (sorry for the formatting--hopefully it will look better if you paste it into Excel).
IMPORTANT: This is an array formula, so after you type in the formula (and don't type in the braces {} when you do), you must press Ctrl-Shift-Enter instead of just Enter (see this link for more details).
What does the formula do? It does two loops:
First, it loops through all the Sales Dates from the beginning of the log to the current row and checks if each date is between the date of the current row and 29 days earlier (which makes a 30-day window). (By "current row" I mean the row where the formula is located.)
Second, it loops through all the Items from the beginning of the log to the current row and checks if there is a match with the Item of the current row.
For any row where both checks are true (the "*" in the formula does an "and" operation), Items Ordered Count is added to the sum, otherwise zero is added to the sum. So, when it's finished, you have a count for each row of how many orders there were in the past 30 days for that item.
HTH,
-Dan
Sales Dates Date Diff Customer Name Item Items Ordered Count 30-Day Count
1/1/2009 0 dfsadf 11336 70 70
1/2/2009 1 asdfd 10218 121 121
1/3/2009 1 fsdfjkfl 10942 101 101
1/6/2009 3 slkdjflsk 13710 80 80
1/7/2009 1 slkdjls 10480 127 127
1/9/2009 2 sdjjf 11336 143 213
1/11/2009 2 woieuriwe 11501 84 84
1/14/2009 3 owqieyurtn 10191 78 78
1/15/2009 1 weisd 10480 113 240
1/16/2009 1 woieuriwe 12024 133 133
1/17/2009 1 vkcjl 13818 125 125
1/20/2009 3 sdflkj 11336 128 341
1/23/2009 3 jnbkdl 10480 141 381
1/25/2009 2 pqcvnlz 10480 137 518
1/27/2009 2 hwodkjgfh 12878 80 80
1/28/2009 1 zjdnfg;pwlkd 10942 123 224
1/31/2009 3 zlkdjnf;psod 13173 93 93
2/2/2009 2 zlknpdodfg 11336 119 390
2/4/2009 2 zjhdfpwskjh 12004 57 57
2/5/2009 1 asdfd 10218 121 121
2/8/2009 3 fsdfjkfl 10942 101 224
2/11/2009 3 slkdjflsk 13710 80 80
2/14/2009 3 slkdjls 10480 127 405
2/16/2009 2 sdjjf 11336 143 390
2/18/2009 2 woieuriwe 11501 84 84
2/21/2009 3 owqieyurtn 10191 78 78
2/24/2009 3 weisd 10480 113 240
2/25/2009 1 woieuriwe 12024 133 133
2/27/2009 2 vkcjl 13818 125 125
2/28/2009 1 sdflkj 11336 128 390