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
Related
I a routine to take a string and make it into an array of numbers. This is in VBA running in Excel as part of Office Professional 2019.
The code below is a demo version to illustrate the problem, which encapsulates the original code.
I need to display the numberical equivalent of each char in the string, so am using Cstr(by) elsewhere in code.
Public Sub TestByteFromString()
'### vars
Dim ss As String, i As Integer
Dim arrBytes() As Byte
Dim by As Byte
'###
ss = ""
For i = 0 To 127 Step 1
ss = ss & Chr(Val(i + 126))
Next i
arrBytes = ss
'###
For i = LBound(arrBytes) To UBound(arrBytes) Step 2
by = arrBytes(i)
Debug.Print "Index " & CStr(i) & " Byte " & CStr(by) & " Original " & CStr((i / 2 + 126)) & " Difference = " & CStr(((i / 2 + 126)) - CInt(by))
Next i
'###
End Sub
`
It seems to work fine except for certain values greater than 126, some of which are shown by the demo above.
I am getting these results and cannot see an explanation or a consistant pattern. Does this make sense to anyone what is wrong?
Index 0 Byte 126 Original 126 Difference = 0
Index 2 Byte 127 Original 127 Difference = 0
Index 4 Byte 172 Original 128 Difference = -44
Index 6 Byte 129 Original 129 Difference = 0
Index 8 Byte 26 Original 130 Difference = 104
Index 10 Byte 146 Original 131 Difference = -15
Index 12 Byte 30 Original 132 Difference = 102
Index 14 Byte 38 Original 133 Difference = 95
Index 16 Byte 32 Original 134 Difference = 102
Index 18 Byte 33 Original 135 Difference = 102
Index 20 Byte 198 Original 136 Difference = -62
Index 22 Byte 48 Original 137 Difference = 89
Index 24 Byte 96 Original 138 Difference = 42
Index 26 Byte 57 Original 139 Difference = 82
Index 28 Byte 82 Original 140 Difference = 58
Index 30 Byte 141 Original 141 Difference = 0
Index 32 Byte 125 Original 142 Difference = 17
Index 34 Byte 143 Original 143 Difference = 0
Index 36 Byte 144 Original 144 Difference = 0
Index 38 Byte 24 Original 145 Difference = 121
Index 40 Byte 25 Original 146 Difference = 121
Index 42 Byte 28 Original 147 Difference = 119
Index 44 Byte 29 Original 148 Difference = 119
Index 46 Byte 34 Original 149 Difference = 115
Index 48 Byte 19 Original 150 Difference = 131
Index 50 Byte 20 Original 151 Difference = 131
Index 52 Byte 220 Original 152 Difference = -68
Index 54 Byte 34 Original 153 Difference = 119
Index 56 Byte 97 Original 154 Difference = 57
Index 58 Byte 58 Original 155 Difference = 97
Index 60 Byte 83 Original 156 Difference = 73
Index 62 Byte 157 Original 157 Difference = 0
Index 64 Byte 126 Original 158 Difference = 32
Index 66 Byte 120 Original 159 Difference = 39
Index 68 Byte 160 Original 160 Difference = 0
It seems fine for everything beyond 160 and below 126.
I don't think it is the Cstr() function. If I multiply the byte value by 2 and use Cstr() I get this kind of result, suggesting the byte numerical value is the problem.
Index 66 Byte 120 Original 159 Difference = 39
Index 66 2*Byte 240
Other causes investigated but cannot see an explanation-
-two byte storage in strings for chars.
-ASCII char set
-bytes being decoded as negative numbers if MSB set, but unlikley as 160 onwards is correct.
There may be much better ways to get the array, and they would be very useful, but if possible I would like to also know what has gone wrong so I, and anyone reading, would not make the same mistake again.
Thanks for any assistance, R.
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?
I have a DAX formula for my Powerpivot I cannot get to solve and was hoping for help.
I have two pivot tables connected already
Showing a cohort of actions taken within Month 1,….X on the sign up month
Total Sign Ups on monthly basis
I have tried to attached the sheet here but somehow I cant so I have add a screenshot of the sheet.1
What I have so far is:
=DIVIDE(
SUM(Range[conversion to KYC completed]),
SUM('Range 1'[Sum of signups]))
But this does not give me what I want as I think I’m missing the monthly grouping somehow.
Question 1:
What I want is to get the share of actions completed within 1,...,X months out of the total sign up that given month (e.g. Jan) (so the data from Table 2)
Question 2:
In best case I would also like to show total sign ups in the beginning of the cohort to make the cohort easier to understand, so having the monthly total sign up (which the cohort is calculated based on). But now I cannot get just the totals month by month. Is there anyways just to add in a monthly total column in the pivot without applying these number as a value across all columns?
Something like this is the ultimate outcome for me 2
UPDATED WITH SAMPLE DATA
Signup month, KYC completed month, Age by month, signups, conversion to KYC completed
Jan-17 Jul-18 18 97 75
Jan-17 Jul-18 18 99 79
Jan-17 Dec-18 23 95 80
Feb-17 May-18 15 99 74
Feb-17 Jul-18 17 90 75
Feb-17 Jul-18 17 95 76
Feb-17 Aug-18 18 92 71
Mar-17 May-18 14 94 73
Apr-17 Jul-18 15 93 75
May-17 Sep-18 16 94 70
May-17 Oct-18 17 98 72
Jun-17 May-18 11 95 79
Jul-17 Oct-18 15 97 74
Jul-17 Jul-18 12 94 78
Aug-17 Sep-18 13 96 74
Sep-17 Nov-18 14 95 80
Sep-17 Oct-18 13 94 79
DESIRED OUTCOME
The % for Month 1....X is calculated KYC Completed / Monthly Sign up
OUTPUT WITH THIS CODE
=VAR SignUpMonth = IF(HASONEVALUE('Range 1'[Row Labels]), BLANK())
RETURN
DIVIDE(CALCULATE(SUM([conversion to KYC completed])),
CALCULATE(SUM('Range 1'[Sum of signups]),
FILTER(ALL(Range), Range[Signup month (Month Index)] = SignUpMonth)))
[
Thanks for the sample data Franzi. Still not too clear what you're asking for, but perhaps this will help a little.
Signed Up to Signed In Ratio =
VAR SignUpMonth = SELECTEDVALUE(Table1[Signup month], BLANK())
RETURN
DIVIDE(CALCULATE(SUM([conversion to KYC completed])),
CALCULATE(SUM(Table1[ signups]),
FILTER(ALL(Table1), Table1[Signup month] = SignUpMonth)))
So. Let's break it down.
If I understand correct, you want to see the cross section of number of signins for a given month ( x axis ) signup combo ( y axis ) and divide that number by the total signups ( y axis ) per signup month.
number of signins for a given month ( x axis ) signup combo ( y axis ):
CALCULATE(SUM([conversion to KYC completed]))
TOTAL signups ( y axis ) per signup month
CALCULATE(SUM(Table1[ signups]),
FILTER(ALL(Table1), Table1[Signup month] = SignUpMonth))
I have a text file like this small example:
chr10:103909786-103910082 147 148 24 BA
chr10:103909786-103910082 149 150 11 BA
chr10:103909786-103910082 150 151 2 BA
chr10:103909786-103910082 152 153 1 BA
chr10:103909786-103910082 274 275 5 CA
chr10:103909786-103910082 288 289 15 CA
chr10:103909786-103910082 294 295 4 CA
chr10:103909786-103910082 295 296 15 CA
chr10:104573088-104576021 2925 2926 134 CA
chr10:104573088-104576021 2926 2927 10 CA
chr10:104573088-104576021 2932 2933 2 CA
chr10:104573088-104576021 58 59 1 BA
chr10:104573088-104576021 689 690 12 BA
chr10:104573088-104576021 819 820 33 BA
in this file there are 5 tab separated columns. the first column is considered as ID. for example in the first row the whole "chr10:103909786-103910082" is ID.
1- in the 1st step I would like to filter out the rows based on the 4th column.
if the number in the 4th column is less than 10 and the same row but in the 5th column the group is BA, that row will be filtered out. also if the number in the 4th column is less than 5 and the same row but in the 5th column the group is CA, that row will be filtered out.
3- 3rd step:
I want to get the ratio of number in 4th column. in fact in the 1st column there are repeated values which represent the same ID. I want to get one ratio per ID, so in the output every ID will be repeated only once. each ID has both BA and CA in the 5th column. for each ID I should get 2 values for CA and BA separately and get the ration of CA/BA as the final value for each ID. to get one value as CA, I should add up all values in the 4th column which belong the same ID and classified as CA and to get one value as BA, I should add up all values in the 4th column which belong the same ID and classified as BA. the last step is to get the ration of CA/BA per ID. the expected output for the small example would look like this:
1- after filtration:
chr10:103909786-103910082 147 148 24 BA
chr10:103909786-103910082 149 150 11 BA
chr10:103909786-103910082 274 275 5 CA
chr10:103909786-103910082 288 289 15 CA
chr10:103909786-103910082 295 296 15 CA
chr10:104573088-104576021 2925 2926 134 CA
chr10:104573088-104576021 2926 2927 10 CA
chr10:104573088-104576021 689 690 12 BA
chr10:104573088-104576021 819 820 33 BA
2- after summarizing each group (CA and BA):
chr10:103909786-103910082 147 148 35 BA
chr10:103909786-103910082 274 275 35 CA
chr10:104573088-104576021 2925 2926 144 CA
chr10:104573088-104576021 819 820 45 BA
3- the final output(this ratio is made using the values in 4th column):
chr10:103909786-103910082 1
chr10:104573088-104576021 3.2
in the above lines, 1 = 35/35 and 3.2 = 144/45.
I am trying to do that in awk
awk -F "\t" '{ (if($4 < -10 & $5==BA)), (if($4 < -5 & $5==CA)) ; print $2 = BA/CA} file.txt > out.txt
I tried to follow the steps that mentioned in the code but did not succeed. do you know how to solve the problem?
If the records with the same ID are always consecutive, you can do that:
awk 'ID!=$1 {
if (ID) {
print ID, a["CA"]/a["BA"]; a["CA"]=a["BA"]=0;
}
ID=$1
}
$5=="BA" && $4>=10 || $5=="CA" && $4>=5 { a[$5]+=$4 }
END{ print ID, a["CA"]/a["BA"] }' file.txt
The first block tests if the ID has changed, in this case, it displays the previous ID and the ratio.
The second block filter unwanted records.
The END block displays the result for the last ID.
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