Say I have a list of hours per week one is allowed to work (40, 32, 40, 40.. etc) and a large list of actual worked hours for each employee, it might look something like that:
Hours allowed 40 40 32 40 28 40 40
Worked Emp1 40 40 32 40 28 40 40 (false)
Emp2 40 40 32 42 28 40 40 (true)
I would like a single-cell formula for each employee which compares each element of the worked hour list with the corresponding element of the hours allowed list returning TRUE if there is one or more instance of worked hours being over hours allowed. So for the table above it would return FALSE for the first line and TRUE for the second one (there is one instance of worked hours being more than weekly allowed hours).
Any help would be appreciated.
Found it. Almost as soon as I posted the question I remembered the answer :)
In case if anyone is interested, the formula is:
{=SUM(--(list1>list2))}
Related
Here is my problem. I want to use =SLOPE formula with a cell range that refers to another sheet with criteria: Date period between Oct-21 until Apr-22, the known_ys = Emiten Name and known_xs = IHSG.
I use this formula:
=SLOPE(IF(AND(Emiten!B:B>=Risk!$A$2;Emiten!B:B<=Risk!$B$2;Emiten!A:A=Risk!D17);Emiten!D:D);IF(AND(Indeks!B:B>=Risk!$A$2;Indeks!B:B<=Risk!$B$2;Indeks!A:A=Risk!$D$2);Indeks!D:D))
But it shows the result #VALUE!, can anyone please tell me where's the problem?
Thanks
AND only ever returns a single value. To simulate 'and' conditions within array constructions, use nested IF statements.
Also, you should not be using entire column references for such a construction, since it will be forced to process several million rows unnecessarily.
Try:
=SLOPE(IF(Emiten!B1:B10>=Risk!A2,IF(Emiten!B1:B10<=Risk!B2,IF(Emiten!A1:A10=Risk!D17,Emiten!D1:D10))),IF(Indeks!B1:B10>=Risk!A2,IF(Indeks!B1:B10<=Risk!B2,IF(Indeks!A1:A10=Risk!D2,Indeks!D1:D10))))
adjusting the last row referenced (10 here) to a suitably low, though sufficient, upper bound.
Also, I take it you are aware that the SLOPE function will only consider rows for which both the known_ys and the known_xs are numeric? For example, assuming that the above resolved to:
known_ys
known_xs
14
FALSE
53
FALSE
FALSE
27
FALSE
FALSE
16
63
58
90
FALSE
FALSE
3
FALSE
80
85
25
40
then SLOPE would ignore everything apart from the the 5th, 6th, 9th and 10th pairs, effectively calculating over the following reduced array:
known_ys
known_xs
16
63
58
90
80
85
25
40
I have a column with ordinal values. I want to have another column that ranks them in equal groups (relatively to their value).
Example: If I have a score and I want to divide to 5 equal groups:
Score
100
90
80
70
60
50
40
30
20
10
What function do I use in the new column to get this eventually:
Score Group
100 5
90 5
80 4
70 4
60 3
50 3
40 2
30 2
20 1
10 1
Thanks! (I'm guessing the solution is somewhere in mod, row and count - but I couldn't find any good solution for this specific problem)
If you don't care about how the groups are split for groups that aren't evenly divisible, you can use this formula and drag down as far as necessary:
= FLOOR(5*(COUNTA(A:A)-COUNTA(INDEX(A:A,1):INDEX(A:A,ROW())))/COUNTA(A:A),1)+1
Possibly a more efficient solution exists, but this is the first way I thought to do it.
Obviously you'll have to change the references to the A column if you want it in a different column.
See below for working example.
i have some data like below in one column.
Value
-----
A#show
20
20
B#show
20
25
30
C#show
10
10
10
10
D#show
10
E#show
10
20
I want to compare the values between the cell where the last string is "show" and if there is only one then no comparison.
Value Comparison
----------------------
A#show Same
20
20
B#show different
20
25
30
C#show same
10
10
10
10
D#show only one
10
E#show different
10
20
I think it's can be possible using a VBA script
It's a bit unclear what you're trying to compare between values. However, there is a way to do this without VBA.
1) In the Second Column, create a "Header" column which names which header each value belongs to. The first entry would just be A#show, but then the following would be:
=IFERROR(IF(A2*1>0,B1),B2)
2) In the third column, you can utilize countif to see if the header has more than 2 entries (indicating it has a comparison). Here is where you can apply whatever comparative metric you'd like. If it's something unformulaic, just use a pivot table with the 3 columns.
I have two columns:
Column A: Time (seconds from midnight)
Column B: Value (arbitrary value I've created)
How would I find the average value (column B) at any instance in time(row) looking back over the previous x seconds (column A)?
Lets assume A1 = Seconds after midnight
Seconds after midnight Value
0 27
2 29
6 2
16 29
20 19
24 4
34 2
40 1
44 4
54 12
64 12
71 3
81 30
91 21
92 1
93 27
97 12
104 30
112 25
Note that time deltas are variable so I can't just look at the last x rows.
A specific question would be:
In a new column (column C) return the average Value of the last 10 seconds of data.
I have no idea how to do this. Can anyone help? It'd be greatly appreciated.
EDIT:
The output in the first 4 rows of column C would be:
Seconds after midnight Value Result
0 27 No values prior to this one
2 29 27 Average(B2)
6 2 28 Average(B2:B3)
16 29 2 Average(B4)
For each row, I'm taking the current time (16 in the last case)...going back x seconds (10 seconds in this case) and then averaging the values from all the cells in that time range (not including the current value).
My main issue is the time calculation. I don't know how to calculate it as I roll forward in time and I continue to get more instances as we move forward. If we go 10 seconds without any new data point then there would be no output since. If we got one instance in the previous 10 seconds then the output would be that value. If we got 100 instances in the previous 10 seconds, I need to return the average of that 100 instances.
Again, I'd appreciate any help, hints, links. This is driving me crazy.
Try the following formula in cell C3:
=IFERROR(SUMIFS(B:B,A:A,"<"&A3,A:A,">="&A3-10)/COUNTIFS(A:A,"<"&A3,A:A,">="&A3-10),0)
SUMIFS will get the sum of all values for which the seconds are:
less than A3 (i.e. less than 2 in this case)
more or equal to A3-10 (i.e. above -8 in this case)
And this sum is divided by the number of lines found with the same criteria.
If now there is an error (more specifically when the COUNTIFS returns 0, you would get #DIV/0!) you simply get 0 instead of the error.
Here’s a challenge for someone. I’m trying to round session times up to the nearest quarter hour (I report my total client hours for license credentialing)
8 minutes or above: round up to 15
23 minutes or above: round up to 30
38 minutes or above: round up to 45
53 minutes or above: round up to 60
Ex: in the first quarter hour, minutes below 8 will be their exact value: 1=1, 2=2, 3=3.
When 8 is entered, it is automatically rounded up to 15 (the same holds true for the rest of the hour: ex: 16=16, 17=17, 18=18, 19=19, 20=20, 21=21, 22=22. But 23 through 29 are all rounded up to 30.
Ideally, I could enter both hours and minutes in a single column, ex: 1.54
However, I realize that it may be necessary to create a separate column for hours and minutes in order to make this work (i.e., so that my formula is only concerned with rounding up minutes. I can add my hours and minutes together after the minutes are rounded.) Thus:
Column A = Hours (3 hours maximum)
Column B = Minutes
Column C = Minutes Rounded up to nearest ¼ hour
Column D = Col A + Col C
In column B I would like to enter minutes as 1 through 60 (no decimal- i.e., in General, not Time format)
38 minutes in column B would automatically be rounded up to 45 minutes in column C
Does anyone have any ideas? How can I do this using the fewest number of columns?
[A Previously posted question - "Round up to nearest quarter" - introduces the concept of Math.Ceiling. Is this something I should use? I couldn't wrap my head around the answer).
With Grateful Thanks,
~ Jay
How's this go?
DECLARE #time DATETIME = '2014-03-19T09:59:00'
SELECT CASE
WHEN DATEPART(mi, #time) BETWEEN 8 AND 15 THEN DATEADD(mi, 15-DATEPART(mi, #time), #time)
WHEN DATEPART(mi, #time) BETWEEN 23 AND 30 THEN DATEADD(mi, 30-DATEPART(mi, #time), #time)
WHEN DATEPART(mi, #time) BETWEEN 38 AND 45 THEN DATEADD(mi, 45-DATEPART(mi, #time), #time)
WHEN DATEPART(mi, #time) BETWEEN 53 AND 59 THEN DATEADD(mi, 60-DATEPART(mi, #time), #time)
ELSE #time
END
Assume "sessions" is your table (CTE below contains 2 sample records), with session start time & end time stored (as noted in comments above, just store these data points, don't store the calculated values). You might be able to do the rounding as below. (not sure if this is what you want, since it either rounds up or down... do you not want to round down?)
;WITH sessions AS (
SELECT CAST('20140317 12:00' AS DATETIME) AS session_start, CAST('20140317 12:38' AS DATETIME) AS session_end
UNION ALL
SELECT CAST('20140317 12:00' AS DATETIME), CAST('20140317 12:37:59' AS DATETIME) AS session_end
)
SELECT *, DATEDIFF(MINUTE, session_start, session_end) AS session_time
, ROUND(DATEDIFF(MINUTE, session_start, session_end)/15.0, 0) * 15.0 AS bill_time
FROM sessions;
EDIT:
Hi Jay, I don't think you mentioned it is an Excel problem! I was assuming SQL. As Stuart suggested in a comment above, it would be helpful if you modified your question to indicate it is for Excel, so that others can possibly get help from this dialog in the future.
With Excel, you can do it with two columns that contain the session start date and time (column A) and session end date and time (column B), plus two formulas:
Column C (Actual Minutes) = ROUND((B1-A1) * 1440,0)
Column D (Billing Minutes) = (FLOOR(C1/15, 1) * 15) + IF(MOD(C1,15) >= 8, 15, MOD(C1,15))
This is what my table looks like:
3/18/2014 12:00 3/18/2014 12:38 38 45
3/18/2014 14:00 3/18/2014 14:37 37 37