I'm trying to figure out how to calculate my compliance % measures based on if statements.
If [alias]=company A, then the percentage should equal 100%. If it does not, then it should calculate the total complying spend/total overall spend.
However, when I tried to set up the if statement it gives me an error and says that the single value for "alias" column cannot be determined.
I have tried If(Values) statements, but I need it to return more than one value.
Measures always aggregate. The question is what you want the compliance calculation to be when you're looking at 2 companies? 3 companies? Right now, neither your question nor your formula accounts for this possibility at all, hence the error.
If you're thinking "Compliance % doesn't make sense if you're looking at more than one company", then you can write your formula to show BLANK() if there's more than one company:
IF (
HASONEVALUE ( 'Waste Hauling Extract'[Alias] ),
IF (
VALUES ( 'Waste Hauling Extract'[Alias] ) = "company A",
[PCT-Compliant],
[PCT Non-compliant]
),
BLANK ()
)
If you want something else to happen when there's more than one company, then DAX functions like CALCULATE, SUMX or AVERAGEX would allow you to do what you want to do.
The trick with DAX generally is that the formula has to make sense not just on individual rows of a table (where Alias has a unique value), but also on subtotals and grand totals (where Alias does not have a unique value).
Based on your comment that any inclusion of company A results in 100%, you could do something such as:
IF (
ISBLANK (
CALCULATE (
COUNTROWS ( 'Waste Hauling Extract' ),
FILTER ( 'Waste Hauling Extract', 'Waste Hauling Extract'[Alias] = "company A" )
)
),
[PCT Non-compliant],
[PCT-Compliant]
)
The new CALCULATE statement filters the Waste Hauling Extract table to just company A rows, and then counts those rows. If there are no company A rows, then after the filter it will be an empty table and the row count will be blank (rather than 0). I check for this with ISBLANK() and then display either the Non-Compliant or Compliant number accordingly.
Note: the FILTER to just company A only applies to the CALCULATE statement; it doesn't impact the PCT measures at all.
Related
I downloaded the entire FDIC bank call reports dataset, and uploaded it to BigQuery.
The table I currently have looks like this:
What I am trying to accomplish is adding a column showing the deposit growth rate since the last quarter for each bank:
Note:The first reporting date for each bank (e.g. 19921231) will not have a "Quarterly Deposit Growth". Hence the two empty cells for the two banks.
I would like to know if a bank is increasing or decreasing its deposits each quarter/call report (viewed as a percentage).
e.g. "On their last call report (19921231)First National Bank had deposits of 456789 (in 1000's). In their next call report (19930331)First National bank had deposits of 567890 (in 1000's). What is the percentage increase (or decrease) in deposits"?
This "_%_Change_in_Deposits" column would be displayed as a new column.
This is the code I have written so far:
select
SFRNLL.repdte, SFRNLL.cert, SFRNLL.name, SFRNLL.city, SFRNLL.county, SFRNLL.stalp, SFRNLL.specgrp AS `Loan_Specialization`, SFRNLL.lnreres as `_1_to_4_Residential_Loans`, AL.dep as `Deposits`, AL.lnlsnet as `loans_and_leases`,
IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) as SFR2TotalLoanRatio
FROM usa_fdic_call_reports_1992.All_Reports_19921231_1_4_Family_Residential_Net_Loans_and_Leases as SFRNLL
JOIN usa_fdic_call_reports_1992.All_Reports_19921231_Assets_and_Liabilities as AL
ON SFRNLL.cert = AL.cert
where SFRNLL.specgrp = 4 and IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) <= 0.10
UNION ALL
select
SFRNLL.repdte, SFRNLL.cert, SFRNLL.name, SFRNLL.city, SFRNLL.county, SFRNLL.stalp, SFRNLL.specgrp AS `Loan_Specialization`, SFRNLL.lnreres as `_1_to_4_Residential_Loans`, AL.dep as `Deposits`, AL.lnlsnet as `loans_and_leases`,
IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) as SFR2TotalLoanRatio
FROM usa_fdic_call_reports_1993.All_Reports_19930331_1_4_Family_Residential_Net_Loans_and_Leases as SFRNLL
JOIN usa_fdic_call_reports_1993.All_Reports_19930331_Assets_and_Liabilities as AL
ON SFRNLL.cert = AL.cert
where SFRNLL.specgrp = 4 and IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) <= 0.10
The table looks like this:
Additional notes:
I would also like to view the last column (SFR2TotalLoansRatio) as a percentage.
This code runs correctly, however, previously I was getting a "division by zero" error when attempting to run 50,000 rows (1992 to the present).
Addressing each of your question individually.
First) Retrieving SFR2TotalLoanRatio as percentage, I assume you want to see 9.988% instead of 0.0988 in your results. Currently, in BigQuery you can achieve this by casting the field into a STRING then, concatenating the % sign. Below there is an example with sample data:
WITH data as (
SELECT 0.0123 as percentage UNION ALL
SELECT 0.0999 as percentage UNION ALL
SELECT 0.3456 as percentage
)
SELECT CONCAT(CAST(percentage*100 as String),"%") as formatted_percentage FROM data
And the output,
Row formatted_percentage
1 1.23%
2 9.99%
3 34.56%
Second) Regarding your question about the division by zero error. I am assuming IEEE_DIVIDE(arg1,arg2) is a function to perform the division, in which arg1 is the divisor and arg2 is the dividend. Therefore, I would adivse your to explore your data in order to figured out which records have divisor equals to zero. After gathering these results, you can determine what to do with them. In case you decide to discard them you can simply add within your WHERE statement in each of your JOINs: AL.lnlsnet = 0. On the other hand, you can also modify the records where lnlsnet = 0 using a CASE WHEN or IF statements.
UPDATE:
In order to add this piece of code your query, you u have to wrap your code within a temporary table. Then, I will make two adjustments, first a temporary function in order to calculate the percentage and format it with the % sign. Second, retrieving the previous number of deposits to calculate the desired percentage. I am also assuming that cert is the individual id for each of the bank's clients. The modifications will be as follows:
#the following function MUST be the first thing within your query
CREATE TEMP FUNCTION percent(dep INT64, prev_dep INT64) AS (
Concat(Cast((dep-prev_dep)/prev_dep*100 AS STRING), "%")
);
#followed by the query you have created so far as a temporary table, notice the the comma I added after the last parentheses
WITH data AS(
#your query
),
#within this second part you need to select all the columns from data, and LAG function will be used to retrieve the previous number of deposits for each client
data_2 as (
SELECT repdte, cert, name, city, county, stalp, Loan_Specialization, _1_to_4_Residential_Loans,Deposits, loans_and_leases, SFR2TotalLoanRatio,
CASE WHEN cert = lag(cert) OVER (PARTITION BY id ORDER BY d) THEN lag(Deposits) OVER (PARTITION BY id ORDER BY id) ELSE NULL END AS prev_dep FROM data
)
SELECT repdte, cert, name, city, county, stalp, Loan_Specialization, _1_to_4_Residential_Loans,Deposits, loans_and_leases, SFR2TotalLoanRatio, percent(Deposits,prev_dep) as dept_growth_rate FROM data_2
Note that the built-in function LAG is used together with CASE WHEN in order to retrieve the previous amount of deposits per client.
Is it possible to have a grand total row in a pivot table that is independent of selections? The table I am currently working with has region & branch dimensions and then several columns of data. I would like the company total to display at the bottom row regardless of what regions and/or branches are selected.
You can use Dimensionality() function.
As you can see from the picture below the rows have Dimensionality() = 2 and the total row have Dimensionality() = 0
So in your case the expression will be something like this:
if( Dimensionality() = 0,
sum( {< Region=, Branch= >} Value),
sum( Value )
)
(Don't forget to remove/disable the Dimensionality() column to test it. If not removed the chart will not behave as normal)
Using the above expression the total row will show the sum( Value ) ignoring the selections in Region and Branch fields:
Also you can see that Dimensionality() is changing depends on the table aggregation. For example when collapse the Region the Dimensionality() function is returning 1 for the rows:
No need to tell you that if you have decent amount of data such expressions will decrease the performance!
There is also and SecondaryDimensionality() function which is basically the same as Dimensionality() but for the horizontal pivot dimensions.
An easier way of accomplishing this would be to have a straight table directly below your pivot table using set analysis to exclude selections.
I have the below dataset:
using the measure:
BalanceCount := COUNT(Balances[Balance])
which gives me the result:
However, I want the Grand Total to show the maximum amount of the BalanceCount, which is 2.
NewMeasure:=
MAXX(
SUMMARIZE(
FactTable
,FactTable[Account]
,FactTable[MonthEnd]
)
,[BalanceCount]
)
SUMMARIZE() groups by the columns specified, and MAXX() iterates through the table specified, returning the maximum of the expression in the second argument evaluated for each row in its input table.
Since the filter context will limit the rows of the fact table, we'll only have the appropriate subsets in each column/row grand total.
I found a solution that works for this particular case. It will not work if columns other than Account and MonthEnd are included in the filter context.
MaxBalanceCount:=
MAXX ( SUMMARIZE (
Balances,
Balances[Account],
Balances[MonthEnd]
),
CALCULATE ( COUNTROWS ( Balances ) )
)
I found it hard to describe what I wanted to do in the title, but I will be more specific here.
I have a reasonably long query:
SELECT
/*Amount earned with validation to remove outlying figures*/
Case When SUM(t2.[ActualSalesValue])>=0.01 OR SUM(t2.[ActualSalesValue])<0 Then SUM(t2.[ActualSalesValue]) ELSE 0 END AS 'Amount',
/*Profit earned (is already calculated then input into db, this just pulls that figure*/
SUM(t2.[Profit]) AS 'Profit',
/*Product Type - pulls the product type so that we can sort by product*/
t1.[ucIIProductType] AS 'Product Type',
/*Profit Percentage - This is to calculate the percentage of profit based on the sales price which uses 2 different columns - Case ensures that there are no wild values appearing in the reports as previously experienced*/
Case When SUM(t2.[ActualSalesValue])>=0.01 OR SUM(t2.[ActualSalesValue])<0 THEN (SUM(t2.[Profit])/SUM(t2.[ActualSalesValue])) ELSE 0 END AS 'Profit Percentage',
/*Percentage of Turnover*/
*SUM(t2.[ActualSalesValue])/(Select SUM(t2.[ActualSalesValue]) OVER() FROM [_bvSTTransactionsFull]) AS 'PoT'
/*The join is connect the product type with the profit and the amount*/
FROM [dbo].[StkItem] AS t1
INNER JOIN [dbo].[_bvSTTransactionsFull] AS t2
/*There attirbutes are the links between the tables*/
ON t1.[StockLink]=t2.[AccountLink]
WHERE t2.[TxDate] BETWEEN '1/Aug/2014' AND '31/Aug/2014' AND ISNUMERIC(t2.[Account]) = 1
Group By t1.[ucIIProductType]
The 'Percentage of Turnover' part I am having trouble with - I am trying to calculate the percentage of the Amount based on the total amount - using the same column. So eg: I want to take the Amount value in row 1, then divide it by the total amount of the entire column and then have that value listed in a new column. But I keep getting errors or I Keep getting 1 (because it wants to divide the value by the same value. CAN anyone please advise me on proper syntax for solving this:
/*Percentage of Turnover*/
*SUM(t2.[ActualSalesValue])/(Select SUM(t2.[ActualSalesValue]) OVER() FROM [_bvSTTransactionsFull]) AS 'PoT'
I think you want one of the following:
SUM(t2.[ActualSalesValue])/(Select SUM(t.[ActualSalesValue]) FROM [_bvSTTransactionsFull] t) AS PoT
or:
SUM(t2.[ActualSalesValue])/(SUM(SUM(t2.[ActualSalesValue])) OVER() ) AS PoT
Note: you should use single quotes only for string and date constants, not for column and table names. If you need to escape names, use square braces.
Say I have a measure, foo, in a cube, and I have a reporting requirement that users want to see the following measures in a report:
total foo
total foo excluding instances where foo > 10
total foo excluding instances where foo > 30
What is the best way to handle this?
In the past, I have added Named Calculations which return NULL if foo > 10 or just foo otherwise.
I feel like there has to be a way to accomplish this in MDX (something like Filter([Measures].[foo], [Measures].[foo] > 10)), but I can't for the life of me figure anything out.
Any ideas?
The trick is that you need to apply the filter on your set, not on your measure.
For example, using the usual Microsoft 'warehouse and sales' demo cube, the following MDX will display the sales for all the stores where sales were greater than $2000.
SELECT Filter([Store].[Stores].[Store].members, [Unit Sales] > 2000) ON COLUMNS,
[Unit Sales] ON ROWS
FROM [Warehouse and Sales]
I met similar problem when use saiku (backend with Mondrain), as I haven't found any clear solution of "add filter on measure", I added it here, and that may be useful for other guy.
In Saiku3.8, you could add filter on UI: "column"->"filter"->"custom", then you may see a Filter MDX Expression.
Let's suppose we want clicks in Ad greater than 1000, then add the following line there:
[Measures].[clicks] > 1000
Save and close, then that filter will be valid for find elem with clicks greater than 1000.
The MDX likes below (suppose dt as dimension and clicks as measure, we want to find dt with clicks more than 1000)
WITH
SET [~ROWS] AS
Filter({[Dt].[dt].[dt].Members}, ([Measures].[clicks] > 1000))
SELECT
NON EMPTY {[Measures].[clicks]} ON COLUMNS,
NON EMPTY [~ROWS] ON ROWS
FROM [OfflineData]
i think you have two choices:
1- Add column to your fact(or view on data source view that is based on fact table)like:
case when unit_Price>2000 then 1
else 0
end as Unit_Price_Uper_Or_Under_10
and add a fictitious Dimension based on this columns value.
and add named query for New Dimension(say Range_Dimension in datasourceview :
select 1 as range
union all
select 0 as range
and after taht you cant used this filter like other dimension and attribute.
SELECT [Store].[Stores].[Store].members ON COLUMNS,
[Unit Sales] ON ROWS
FROM [Warehouse and Sales]
WHERE [Test_Dimension].[Range].&[1]
the problem is for every range you must add When condition and only if the range is static this solution is a good solution.
and for dynamic range it's better to formulate the range (based on disceretizing method )
2- add dimension with granularity near fact table based on fact table
for example if we have fact table with primary key Sale_id.we can add
dimension based on fact table with only one column sale_Id and in dimension Usage tab
we can relate this new dimension and measure group with relation type Fact and
after that in mdx we can use something like :
filter([dim Sale].[Sale Id].[Sale Id].members,[Measures].[Unit Price]>2000)