I have a table as stated below,
MEM_ID dateDiff
4522 10
111 1
1112 -1
1232 5
121135 20
145 30
12254 60
I want a Dax formula which will give the output as stated below under measure column as
MEM_ID dateDiff Measure
4522 10 0-15 Days
111 1 0-15 Days
1112 -1 <0 Days
1232 5 0-15 Days
121135 20 15-30 Days
145 30 15-30 Days
12254 60 >60 Days
I have used this formula which didnt worked, any help much appriricated =IF(MAX([DateDiff]) <= 1, "0", IF(MAX([DateDiff])>=1 && MAX([DateDiff])<15,"1-15 Days",IF(MAX([DateDiff])>=15 && MAX([DateDiff])<30,"15-30 Days",IF(MAX([DateDiff])>=30 && MAX([DateDiff])<60,"30-60 Days",IF(MAX([DateDiff])>=60 && MAX([DateDiff])<90,"60-90",BLANK())))))
Using a lookup-table like Ian Ash suggests is better, but if you must use an IF formula, Try the formula you have, but delete the MAX functions.
=IF([DateDiff]< 1, "0",
IF([DateDiff]>=1 && [DateDiff]<15,"1- 15 days",
IF([DateDiff]>=15 && [DateDiff]<30,"15-30 Days",
IF([DateDiff]>=30 && [DateDiff]<60,"30-60 Days",
IF([DateDiff]>=60 && [DateDiff]<90,"60-90",
BLANK())))))
I would solve this problem by creating a look up table as follows.
Create a new worksheet called Lookup, then starting from A1 add the following data:
Min Max Bucket Description
-1000 0 1 <0 Days
1 15 2 0 - 15 Days
16 30 3 16 - 30 Days
You can add additional rows if you need to add more buckets. For example, to create a bucket for 30 to 60, you would add the row:
31 60 4 30 - 60 Days
Once you have the lookup table defined, you can reference into it using the following formula from your main worksheet:
=OFFSET(Lookup!$A$1,SUMPRODUCT((B2>=Lookup!$A$2:$A$4)*(B2<=Lookup!$B$2:$B$4)*(Lookup!$C$2:$C$4)),3)
In the above formula, the value being looked up is in B2.
If you have added rows to your lookup table, you will need to extend the look up range in the formula, i.e. Lookup!$A$2:$A$4 changes to Lookup!$A$2:$A$5 and so on.
Related
I am currently working on grouping/aggregating data based on date range for a weekly plot.
Below is how my dataframe looks like for Daily data:
daily_dates
registered
attended
02/10/2022
0
0
02/09/2022
0
0
02/08/2022
1
0
02/07/2022
1
0
02/06/2022
20
06
02/05/2022
05
03
02/04/2022
15
12
02/03/2022
10
08
02/02/2022
10
05
The first day of the week I'd want is Sunday.
My current code to perform weekly group is:
weekly_df = weekly_df.resample('w').sum().reset_index()
The output I am desiring is:
weekly_dates
registered
attended
02/06/2022
22
06
01/30/2022
40
28
A bit of explanation about desired output - the reason for 02/06/2022 & 01/30/2022 is that both these dates are start date of that respective week which is a sunday. And for the week of 01/30/2022 only 02/05/2022|05|03, 02/04/2022, 02/03/2022, 02/02/2022 dates are considered as those are the one's in the daily dataframe.
My current implementation follows the instructions provided here.
I am looking for any suggestion to achieve my Desired Output
Try:
df.resample('W-SUN', label='left', closed='left').sum().reset_index()
Output:
daily_dates registered attended
0 2022-01-30 40 28
1 2022-02-06 22 6
I have the following table below. I will be referencing a specific number based on other extraneous information. Lets say the specific number is 30. I first need to count 30 numbers down my September list then move to October then November until count has reached 30. Then I need to count all the missing values until the next value would reach the 30th count from the previous task. So for this example the 30th number would be November 19th. The count of the missing should be 55, November 15th (if I counted that right). That value would then be stored in a cell.
I obtained the missed days with the following formula: =IFERROR(SMALL(IF(ISERROR(MATCH(ROW(L$1:INDEX(L:L,N$2)),M$2:INDEX(M:M,COUNT(M:M)+ROW(M$1)),0)),ROW(L$1:INDEX(L:L,N$2))),ROW()-ROW(L$1)),"") (see table 2 for column reference)
The max column value will be blank if there is no data in the month column, therefore the missed column will also have not data. I set that up with the following formula:
=IF(COUNTA(M:M)>1,31,"") (see table 2 for column reference)
Table 1
September max missed October max missed November max missed
1 30 4 1 31 2 2 30 1
2 6 3 6 7 3
3 7 4 7 9 4
5 11 5 8 10 5
8 12 12 9 11 6
9 13 15 10 16 8
10 14 20 11 17 12
15 16 28 13 18 13
22 17 30 14 19 14
23 18 31 16 20 15
24 19 17 22 21
25 20 18 27 23
29 21 19 28 24
26 21 25
27 22 26
28 23 29
30 24 30
25
26
27
29
Table 2
L M N O
(blank) September max missed
I have an idea of how I would write this, but do not know the syntax:
x = Select(Range("G8").Value)
'value that holds specific value (30 for above example)
If x < 31 Then
'30 days in September
y = Count(M2:M32) Until = x
'values in September
z = Count(O2:O32) Until = value of y - 1
'What if the last value is the 30th of September, how would you stop on August 31st?
Range("A1").Value = z
'value of z is stored in cell A1
Elseif x < 62 Then
'61 days in September and October
y2 = Count(M2:M32) & Count(Q2:Q32) Until = x
'Values in September and October
z2 = Count(R2:R32) & (S2:S32) Until =value of -1
'Again, if the last value is the 31st of October how would you stop on September 30th?
Range("A1").Value = z
'Value of z is stored in cell A1
Elseif
'continue for each month (12 times)
End If
There are a couple of things that could cause some problems here with my suggestions (that I just thought of). How would I dictate my starting month? Lets say I wanted to reference a specific cell and that cell contains the number 4. So I would want to start in April, even if I had data in March. Another way of thinking about this is March is in year 2019 and April is in 2018. So then how could I could I get the code to jump from say December back to January? Say column Z is December and column A is January. I wouldn't necessarily want my code to only read left to right. It would need to start in reference to another cell and then jump back to the start if the year changes.
I apologies for the lengthiness, but that's my best effort in explaining. Let me know if you have any questions or if I can provide anyone with more example, pictures, etc.
I think you should reorganize your data table to something like this:
Day Status
01.09.2018 ok
02.09.2018 ok
03.09.2018 ok
04.09.2018 missed
05.09.2018 ok
06.09.2018 missed
07.09.2018 missed
08.09.2018 ok
09.09.2018 ok
10.09.2018 ok
11.09.2018 missed
12.09.2018 missed
13.09.2018 missed
14.09.2018 missed
15.09.2018 ok
16.09.2018 missed
17.09.2018 missed
18.09.2018 missed
19.09.2018 missed
20.09.2018 missed
21.09.2018 missed
22.09.2018 ok
23.09.2018 ok
24.09.2018 ok
25.09.2018 ok
26.09.2018 missed
27.09.2018 missed
28.09.2018 missed
29.09.2018 ok
30.09.2018 missed
01.10.2018 ok
02.10.2018 ok
03.10.2018 ok
04.10.2018 ok
05.10.2018 ok
06.10.2018 ok
07.10.2018 ok
08.10.2018 ok
09.10.2018 ok
10.10.2018 ok
11.10.2018 ok
12.10.2018 ok
13.10.2018 ok
14.10.2018 ok
15.10.2018 ok
16.10.2018 ok
17.10.2018 ok
18.10.2018 ok
19.10.2018 ok
20.10.2018 ok
21.10.2018 ok
22.10.2018 ok
23.10.2018 ok
24.10.2018 ok
25.10.2018 ok
26.10.2018 ok
27.10.2018 ok
28.10.2018 ok
29.10.2018 ok
30.10.2018 ok
31.10.2018 missed
After that, you could easily manage your counts, find anything you want via filtering, specifying date start and so on
I am looking to get the sumproduct but only for specific diagonals in an array. My setup is like below and the yellow highlighting should give an idea of how the formula should calculate
As text:
Years Rates 0 1 2 3
25 0.16 25 24 23 22
26 0.11 26 25 24 23
27 0.12 27 26 25 24
28 0.13 28 27 26 25
29 0.17 29 28 27 26
30 0.16 30 29 28 27
Years Sum of products
25
26
27
28
29
30
Note, the table on the right dictates how many years to include, so if the table were extended to include 4 years then 0.17*4 would need to be included in the sum product for 25
What is the best way to do this? Ideally not a CSE formula/ VBA. The actual table is much bigger, so I might need to be conscious of speed too.
I intend to edit this with what I came up with but I hope to see some different ways of doing this so I hope it's okay that I hold off for now.
Simply:
=MMULT(G4:J4,B7:B10)
Regards
You could give this CSE a try, maybe it's not as bad (even though you don't want one)
=SUMPRODUCT(B7:B10,TRANSPOSE(G4:J4))
I think a 'CSE' formula will be best even though you'd prefer not to.
With the first formula in B11 and the setup as in your image, (with the 0, 1, 2, 3 in D1:G1, the word "Rates" in B1, and the array in D2:G7 etc)
{=SUM(IF($D$2:$G$7=A11, $D$1:$G$1*$B$2:$B$7, 0))}
and drag down
This is the best way I can find, without using a CSE formula
=SUMPRODUCT(--($C$2:$F$7=$A11),$B$2:$B$7*$C$1:$F$1)
The first array is n x m in size and the second array is the product
of a n x 1 and 1 x m array, which is converted to an n x m
array. This provides SUMPRODUCT with two identically sized arrays as required.
Doc. Date Aging (days) Aging class
10/06/2010 1820 121+ Days
09/30/2015 0 0 - 30 Days
09/11/2015 19 0 - 30 Days
09/11/2015 19 0 - 30 Days
09/11/2015 19 0 - 30 Days
09/11/2015 19 0 - 30 Days
I want to add ageing grop in Column without having Ageing Days. So can i have help in calculating it in single column instead of 2 steps.
formula for no of days is
=IF(ISBLANK(H4),"",'Ex. rate'!$G$2-I4)
formula for ageing group is
=IF(J4<=30,"0 - 30 Days",IF(J4<=60,"31 - 60 Days",IF(J4<=90,"61 - 90 Days",IF(J4<=120,"91 - 120 Days","121+ Days"))))
Warning it is long:
=IF(ISBLANK(H4),"",IF('Ex. rate'!$G$2-I4<=30,"0 - 30 Days",IF('Ex. rate'!$G$2-I4<=60,"31 - 60 Days",IF('Ex. rate'!$G$2-I4<=90,"61 - 90 Days",IF('Ex. rate'!$G$2-I4<=120,"91 - 120 Days","121+ Days")))))
alternatively: (without nested if's but need always the same range)
=IF(I4="","",CHOOSE(MIN(MAX(TRUNC(('Ex. rate'!$G$2-I4-1)/30)+1,1),5),"0 - 30 Days","31 - 60 Days","61 - 90 Days","91 - 120 Days","121+ Days"))
(changed H4 to I4) ...still works perfectly for me. Don't know how it can be wrong... sorry :/
I have an Excel 2007 spreadsheet with date entries in this format m/d/yyyy h:mm (one cell). I would like find the hourly and daily average of all the columns of this spreadsheet and save each time aggregation to a new worksheet.
The data is recorded every ~10 minutes, but throughout the dates of data collection there was some time slips. Not every hour has the same number of rows. Also, the ending minute is either 0 or 6 depending on the time correction.
What would be a good way to approach this task within Excel 2007? It seems like this might be possible with a pivot table if I can create a formula that will select the correct range for the timestamps. Thanks.
For example, an date time entry in TIMESTAMP, 10/31/2012 0:06 which is in one cell.
TIMESTAMP Month Day Year Hour Min Rain_mm Rain_mm_2 AirTC AirTC_2 FuelM FuelM_2 VW ... there are ~16 variables (total) after the data time
10/31/2012 0:06 10 31 2012 0 06 0 0 26.11 26.08 2.545 6.4 0.049
10/31/2012 0:16 10 31 2012 0 16 0 0 25.98 25.97 2.624 6.6 0.049
10/31/2012 0:26 10 31 2012 0 26 0 0 24.32 23.33 2.543 6.5 0.048
10/31/2012 0:36 10 31 2012 0 36 0 0 24.32 23.33 2.543 6.5 0.048
10/31/2012 0:46 10 31 2012 0 46 0 0 24.32 23.33 2.543 6.5 0.048
10/31/2012 0:56 10 31 2012 0 56 0 0 25.87 25.87 2.753 7.3 0.049
10/31/2012 1:06 10 31 2012 0 06 0 0 25.74 25.74 2.879 8.1 0.051
## The above is just over one hour of collection on one day ##
...
## Different Day ### Notice Missing Time Stamp
11/30/2012 0:00 11 30 2012 0 06 0 0.1 26.12 26.18 2.535 6.4 0.049
11/30/2012 0:10 11 30 2012 0 16 0 0.1 25.90 25.77 2.424 6.6 0.049
11/30/2012 0:20 11 30 2012 0 26 0.1 0.2 24.12 24.43 2.542 6.4 0.046
11/30/2012 0:30 11 30 2012 0 36 0.1 0 24.22 22.32 2.543 6.5 0.048
11/30/2012 0:50 11 30 2012 0 56 0.1 0.2 26.77 25.87 2.743 6.3 0.049
11/30/2012 1:00 11 30 2012 0 06 0 0 24.34 24.77 2.459 5.1 0.050
## so forth on so on ##
After clarification of the requirement for daily averages edited to cover both daily and hourly averages:
Add a column (here B) for ‘H’ (ie hour) with =HOUR(A2) copied down.
(Note: Though formatted to show only m/d/y content of ColumnA is, in line with title, assumed to be all of mm/dd/yyyy hh:mm. Makes existing columns [with names jumbled] Month, Day, Year, Hour redundant).
Select data range.
Data, Subtotal, At each change in: TIMESTAMP, Use function: Average, Add subtotal to: check only columns G and to the right, OK.
Uncheck Replace current subtotals in Subtotal and apply At each change in: H, Use function: Average, and Add subtotal to: as before, OK.
Replace =SUBTOTAL(1, in Min column with =MIN( .
Delete ‘spare’ Grand Average row.
Reformat as required.
Hopefully this will be achieved and is what is required!:
Note midnight 'tonight' is counted as within first hour of tomorrow.
I had a similar need and worked it out this way:
Add a column for Date (assuming your dd/mm/yyyy hh:mm:ss data is in cell A2)
=DATE(YEAR(A2),MONTH(A2),DAY(A2))
Add a column for Year. If you have weeks from a single year, the year column can be neglected.
=YEAR(A2)
Add a column for Week Number
=WEEKNUM(A2)
Add 2 pivot tables, 1 for daily and 1 for weekly analysis.
Choose fields "Date" and the quantities you want. Put "Date" in the Rows section and sum/average of values in the Values section. You will get a date wise sum/average of the values you need.
In the weekly pivot table, do the same as above, just add "Year" and "Week no" in the Rows section instead of "Dates" as in above.
Hope this helps