I would like my expression to return the max value of a column where another column equals "0".
example :
0 12
0 11
0 7
1 3
1 40
1 1
This should return 12.
I tried several things but can't make it work.
Any ideas?
Try something like.
=MAX(IIF(Fields!ColumnA.Value = 0, Fields!ColumnB.Value, -99999))
Column A and B refer to your unnamed columns in your sample data. The -99999 should be a value lower than the lowest Columb B value you will ever get. If Column B is always positive then any negative value or even 0 will suffice here.
The expression reads:
"for each row, look in Column A. If Column A is zero then return Column B's value, if Column A is not zero, return -99999. Now get the MAX value from these values"
Related
I am relatively new to this and would appreciate some help.
What I am trying to do is take the current value of a field and multiply it by some factor based on the value of a different field.
For example, if I have one column (Column A) that has three different values (Z, X, and Y) and another column (Column B) with a variety of numbers, I want to calculate a third field (Column C) based on these two associated values. So if the value of column A is equal to 'Z' the value in Column C would be equal to Column B multiplied by 2. If the value in column A is equal to 'X' the value in Column C would be equal to the value in Column B multiplied by 1.5. Finally, if the value in column A is equal to 'Y' then the value in Column C would just be equal to the value in Column B.
Example of Question
Is there a way of doing this just as a calculated field?
Thanks in advance for any help!
Set the expression of the column to something like
= Fields!ColumnB.Value *
SWITCH(
Fields!ColumnA.Value = "X", 1.5,
Fields!ColumnA.Value = "Y", 1,
Fields!ColumnA.Value = "Z", 2,
True, 0
)
The True line acts like an ELSE so anything that does not match X, Y or Z will get multiplied by 0 (resulting in zero)
I understand that the following will produce an alternate row colour on a row in a table: =IIF(ROWNUMBER(NOTHING) MOD 2, "LIGHTBLUE", "SILVER")
What I am looking for is to change colour based on set values, for example I have the following result:
RecId Seq
28292952799 0
28292952799 1
28292952799 2
28292970802 0
28292970802 1
28292980070 0
28292980070 1
28292980070 2
Based on the above, I would want it to colour based on each incrementation of the RecId Value.
My reason behind this is they do not want it grouped and it makes it more readable per ID.
Any help or advice is appreciated!
=IIF(RUNNINGVALUE(Fields!RecId.Value, COUNTDISTINCT,"MainDataSet") MOD 2 = 0,
"LightBlue",
"Silver")
This worked for me when i wanted to do something similar.
The expression is giving every distinct name a row number and using the modulo operation. If the row number divided by 2 has a remainder (odd numbers) then the color will be Silver
What SQLite statement do I need to get the column name WHERE there is a value?
COLUMN NAME: ALPHA BRAVO CHARLIE DELTA ECHO
ROW VALUE: 0 1 0 1 1
All I want in my return is: Bravo, Delta, Echo.
Your request is not entirely clear, but you appear to be asking for a SELECT statement that will return not data but rather columns names, and not a predictable number of values but rather a number values that depend on the data in the table.
For instance,
A B C D E
0 1 0 1 1
would return (B,D,E) whereas
A B C D E
1 0 1 0 0
would return (A, C).
If that's what you're asking, this is not something that SQL does. SQL retrieves data from the table and an SQL result set always has the same number of columns per row.
To accomplish your goal, you would have to retrieve all columns that might have a value in the table and then, in your program code, check for the value in each column and accrue a list of column names that had values.
Also, consider what happens when there is more than one row to examine and the distribution of values differ. In other words, what's the expected result if the data looks like this:
A B C D E
- - - - -
0 1 0 1 1
1 0 1 0 0
[Also, note that all the columns in your example have values, some 0, some 1. What you really want is a list of column names where the column contains a value of 1.]
Finally, consider that your inability to easily get the results you need from your data might indicate a flaw in the data model you're using. For instance, if you were to structure your data like this:
TagName TagValue
------- --------
Alpha 0
Bravo 1
Charlie 0
Delta 1
Echo 1
you could then obtain your results with SELECT TagName FROM Tags WHERE TagValue = 1.
Furthermore, if 0 and 1 are really the only two possible values (indicating boolean "presence" or "absence" of the tag) then you could remove the TagValue column and the rows for Alpha and Charlie entirely (you'd INSERT a row into the table to add tag and DELETE a row to remove it).
A design along these lines seems to model your data more accurately and allows you to entire new tags to the system without having to issue an ALTER TABLE command.
http://sqlfiddle.com/#!9/1407e/1
SELECT CONCAT(IF(ALPHA,'ALPHA,',''),
IF(BRAVO,'BRAVO,',''),
IF(CHARLIE,'CHARLIE,',''),
IF(DELTA,'DELTA,',''),
IF(ECHO,'ECHO',''))
FROM table1
I want to eliminate duplicates from a database, based on an identifier, an order and a condition.
More precisely, I have data with several observations. I have sometimes a condition that makes me want to keep that observation anyway (let fix it condition=1), but then also keep the observation with the same identifier even if this condition does not hold (condition=0).
But if I have for one identifier several observations where condition=0 then I want to elminate duplicates, with criterion being having the greatest order.
Without the condition I can do that
proc sort data=have;
by identifier descending order;
run;
proc sort nudopkey data=have;
by identifier;
run;
But how to incorporate my condition in this ?
Edit 1 : add a database example :
data Test;
input identifier $ order condition;
datalines;
1023 1 0
1023 2 0
1064 2 0
1064 1 0
1098 1 0
1098 1 1
;
Then I want to keep
1023 2 0
1064 2 0
1098 1 0
1098 1 1
Edit 2 : tried to precise my conditions
I presume you want to eliminate duplicates only when the condition for all records for an identifier is set to 0. In that case you want to keep the record with the maximum order and eliminate all other records with the same identifier.
Proc sql;
create table want as
select *
from test
group by identifier
having max (condition) ne 0
or order eq max (order)
;
Quit;
This will keep all rows for an Identifier where the maximum condition = 1,
or in the case of those where maximum condition = 0, select the row with the maximum order.
Is that what you want?
Some of this depends on how you define 'condition'. Is your condition easily verifiable on every record for that identifier? Then you can do something like this.
Evaluate the condition.
For records where it is true (you want to remove the duplicate), set flag=0. For records where it is not true, increment the condition flag by one.
If the condition is true for all records in that ID, all will have the same value (flag=0) and nodupkey on by identifier flag; will remove extras. If the condition is false for all records, those will not be removed. If it's true for some and false for some, and you want to remove only some of the records with that identifier (only the duplicates where it is true), then you have to make sure that either it's sorted to have all of the condition=true records at top, or have a separate flag counter that determines what value the flag will be (since it sometimes will go to 0 in the middle, so 0 0 0 1 2 3 0 4 5 6 is what you want, not 0 0 0 1 2 3 0 0 1 2 ).
Perhaps easier to see is to do it within a datastep. After sorting by identifier descending order:
data want;
set have;
by identifier descending order;
if (condition=true) and not (first.identifier) then delete;
run;
This will, again, work if either condition=true is always at the top, or if it's always consistent within one ID group. If it's inconsistent and mixed, then you need to keep track of whether you've kept one where it was true (assuming you want to), or it might delete all records where it is true; use a separate variable to keep track of how many you've kept. first.identifier will be 1/TRUE for the first record for that identifier only, not taking into account the condition. You could also create the flag, then sort by identifier flag descending order; and guarantee the condition=true are at the top (either by making flag=0 for true, or sorting by descending flag.)
Picture a table with fields (Id, Valid, Value)
Valid = boolean
Value = number from 0 to 100
What I want is a report that counts the number of records where (valid = 0), and then gives me the total number of cases where (value < 70) and the number of cases where (value >= 70).
The problem is that the "value" field could be empty on some of the records and I only want the records where the value field is not empty.
I know that the second value (value>=70) is going to be calculated, but the problem is that I can't simply do (total number of records - number of records where value < 70), because there's the problem with the records where "value" is null...
And then I want to create graphic with these values, to see the percentage of records below and above 70.
"The problem is that the "value" field could be empty on some of the records and I only want the records where the value field is not empty."
Use a WHERE clause to exclude rows whose "value" field is Null.
Here is sample data for tblMetraton.
Id Valid Valu
1 -1 2
2 0 4
3 -1 6
4 0
5 0 90
I used Valu for the field name because Value is a reserved word.
You can use the Count() function in a query and take advantage of the fact it only counts non-Null values. So use Count() with an IIf() expression which returns a non-Null value (I used 1) for the condition you want to match and Null otherwise.
SELECT
Count(IIf(Valid=0,1,Null)) AS valid_false,
Count(IIf(Valu<70,1,Null)) AS below_70,
Count(IIf([Valu]>=70,1,Null)) AS at_least70
FROM tblMetraton AS m
WHERE (((m.[Valu]) Is Not Null));
Based on my sample data in tblMetraton, that query gives me this result set.
valid_false below_70 at_least70
2 3 1
If my sample data does not address the variability you're dealing with, and/or if my query results don't match your requirements, please show us you own sample data and the results you want based on that sample.