In my scenario I need to calculate Total Distance Covered, but in the data i get there is only the Total Distance Accumulated , so if i want to know what is total distance covered say in year 2012 i need to get :
Total Distance Accumulated at END of Year 2012 - Total Distance Accumulated at END of Year 2012
And I want this calculation to work on any level of the Date Dimension(which in this case is down to Day level), so a user can place it in a pivot table and just play with it as he sees fit.
I am not sure how or if i can do such a calculation member using MDX on the cube level.
Also, I'm working with SQL 2008 Standard addition, so no semi additive functions available.
WITH MEMBER [Measures].[Total Distance Travelled] as
(
SUM(CurrentDateMember([<hierarchy>],'["<hierarchy>"]\.[<DATE Level>]\.[yyyy-mm-dd]').lag(x):CurrentDateMember([Dates.Time],'["Dates.Time"]\.[Date]\.[yyyy-mm-dd]'),[Measures].[Total Distance Accumulated]))
Select {[Measures].[Total Distance Travelled]} On 1
from [<cube name>]
'x' here is number of days, If you are viewing across month level x would be no.of months
This would basically sum the distance right from specified date
Related
I am needing to Calculate the start/end Balances by day for each Site/Department.
I have a source table call it “Source” that has the following fields:
Site
Department
Date
Full_Income
Income_To_Allocate
Payments_To_Allocate
There are 4 Sites (SiteA/SiteB/SiteC/SiteD), Sites B-D have only 1 department and Site A has 10 departments.
This table is “mostly” a daily summary. I say “mostly” as the daily detail from 2018 was lost and instead we just have the monthly summary inputted as one entry on the last day of the month. For 2018 there is only data going back to September. From 1/1/2019 the summary is actually daily.
Any Income in the Full_Income field will be given to that Site/Department at 100% value.
Any Income in the Income_To_Allocate field will be spread among all the Site/Departments using the below logic:
(
(Prior_Month_Site_Department_ Balance+ This_Month_Site_Department_Full_Income)
/
(Prior_Month_All_Department_Balance + This_Month_All_Department_Full_Income)
)
*
(This_Month_All_Department_Income_to_Allocate)
Any Payments in the Payments_to Allocate) field will be spread among all the Site/Departments using the below logic:
(
(Prior_Month_Site_Department_ Balance+ This_Month_Site_Department_Full_Income)
/
(Prior_Month_All_Department_Balance + This_Month_All_Department_Full_Income)
)
*
(This_Month_All_Department_Payments_to_Allocate)
The idea behind these pieces of logic is to spread the allocated pieces based on the % of business each Site/Department did when looking at the Full_Income data.
The Balance would be calculated with this logic:
Start Balance:
Prior day Ending Balance
Ending Balance:
Prior day Ending Balance + (Site_Department_Full_Income) + (Site_Department_Allocated_Income)- (SiteDepartment_Allocated_Income)
I have tried to do things using the lag function to grab the prior info that I am needing for these calculations. I always get real close but I always wind up stuck on the fact the Ending Balance is calculated using the post spread values for the allocated income and reseeds while the calculation for the spread is using the prior month balance info. This ends up being almost circular logic but with a finite start point. I am at a loss for how to make this work.
I am using SQL Server 2012. Let me know if you need any more details.
I've a question about a rolling distinct count. I'm trying to calculate the latest 30 weeks (210 days) from a specific date (eg. Specific date = 18-02-2019 distinct count from 23-07-2018).
I've found a website/blog where this is explained, https://radacad.com/datesinperiod-vs-datesbetween-dax-time-intelligence-for-power-bi. But in some weird way, my calculation is not working.
My DAX expression:
Aantal mutaties afgelopen 30 weken:=
CALCULATE(
DISTINCTCOUNT(FCT_KlantReis_Mutatie[Mutatie]);
DATESINPERIOD(
FCT_KlantReis_Mutatie[Mutatiedatum];
LASTDATE(FCT_KlantReis_Mutatie[Mutatiedatum]) ;-210;DAY)
)
But in Excel (and PowerBI) I get the following result:
The table is linked to a date dimension. My guess is that it must be posible, but how...
Thanks in advance for the help.
This is similar to another question I made (MDX - Running Sum over months limited to an interval) but I feel that I was going off track there.
Let me start again.
I have a calculated measure
MEMBER [Measures].[m_active] AS ([Measures].[CardCount], [Operation].[Code].[ACTIVATION])
That I want to filter on a short interval (let's say from 10 January 2016 to 20 August 2017, those are parametrized)
and another calculated measure that i want to filter since the beginning of date dimension (1st January 2010) to the end of last filter (20 August 2017 in this case), this measure is running sum of all the precedent
MEMBER [Measures].[tot_active] AS (
SUM({[Calendar.YMD].[2010].Children}.Item(0):[Calendar.YMD].CurrentMember, ([Measures].[CardCount], [Operation].[Code].[ACTIVATION]))
On the columns I have this calculated dimensions and on the rows I have months (in the small interval range) and another dimension crossjoined
SELECT
{[Measures].[m_active], [Measures].[tot_attive]} ON COLUMNS,
NonEmptyCrossJoin(
{Descendants([Calendar.YMD].[2016].[Gennaio]:[Calendar.YMD].[2017].[Agosto], [Calendar.YMD].[Month])},
{Descendants([CardStatus.Description].[All CardStatus.Descriptions], [CardStatus.Description].[Description])}
) on ROWS
If I put a date range in the WHERE clause the first member is perfect but i ruin the second, how can I make the second member ignore the WHERE clause? Or is there another solution?
Without testing I'm a little bit unsure of the behaviour, but did you try moving the filter from a WHERE clause into a subselect?
Subselects are formed like this:
...
FROM (
SELECT
<date range for filter> ON 0
FROM cubeName
)
I have a table that is used to calculate a daily completion score by individuals at various locations. Example: on day 1, 9/10 people completed the task, so the location score is 90%. The dimension is "ReferenceDate." The expression is a calculation of count(distinct if(taskcompleted=yes, AccountNumber)) / count(distinct AccountNumber).
Now, I want to report on the average scores per month. I DO NOT want to aggregate all the data and then divide; I want the daily average. Example:
day 1: 9/10 = 90%
day 2: 90/100 = 90% (many more people showed up a the same location)
average of two days is 90%.
it's not 99/110
and it also not distinct(99) / distinct(110). It is the more simple (.9 + .9) /2
Does this make sense?
What I have now is a line graph showing the daily trend across many months. I need to roll that up into bar charts by month and then compare multiple locations so we can see what locations are having the lower average completion scores.
You need to use the aggr() function to tell QlikView to do the sum day by day and then average the answers.
It should look something like this. (I just split the lines to show which terms are working together.
avg(
aggr(
count(distinct if(taskcompleted=yes, AccountNumber))
/ count(distinct AccountNumber)
,ReferenceDate)
)
I have a table named "Historical_Stock_Prices" in a MS Access database. This table has the columns: Ticker, Date1, Open1, High, Low, Close1, Volume, Adj_Close. The rows consist of the data for each ticker for every business day.
I need to run a query from inside my VB.net program that will return a table in my program that displays the growth rates for each quarter of every year for each ticker symbol listed. So for this example I would need to find the growth rate for GOOG in the 4th quarter of 2012.
To calculate this manually I would need to take the Close Price on the last BUSINESS day of the 4th quarter (12/31/2012) divided by the Open Price of the first BUSINESS day of the 4th quarter (10/1/2012). Then I need to subtract by 1 and multiply by 100 in order to get a percentage.
The actual calculation would look like this: ((707.38/759.05)-1)*100 = -6.807%
The first and last days of each quarter may vary due to weekend days.
I cannot come up with the correct syntax for the SQL statement to create a table of Growth Rates from a table of raw Historical Prices. Can anyone help me with the SQL statment?
Here's how I would approach the problem:
I'd start by creating a saved query Access named [Stock_Price_with_qtr] that calculates the year and quarter for each row:
SELECT
Historical_Stock_Prices.*,
Year([Date1]) AS Yr,
Switch(Month([Date1])<4,1,Month([Date1])<7,2,Month([Date1])<10,3,True,4) AS Qtr
FROM Historical_Stock_Prices
Then I'd create another saved query in Access named [Qtr_Dates] that finds the first and last business days for each ticker and quarter:
SELECT
Stock_Price_with_qtr.Ticker,
Stock_Price_with_qtr.Yr,
Stock_Price_with_qtr.Qtr,
Min(Stock_Price_with_qtr.Date1) AS Qtr_Start,
Max(Stock_Price_with_qtr.Date1) AS Qtr_End
FROM Stock_Price_with_qtr
GROUP BY
Stock_Price_with_qtr.Ticker,
Stock_Price_with_qtr.Yr,
Stock_Price_with_qtr.Qtr
That would allow me to use the following query in VB.NET (or C#, or Access itself) to calculate the quarterly growth rates:
SELECT
Qtr_Dates.Ticker,
Qtr_Dates.Yr,
Qtr_Dates.Qtr,
(([Close_Prices]![Close1]/[Open_Prices]![Open1])-1)*100 AS Qtr_Growth
FROM
(
Historical_Stock_Prices AS Open_Prices
INNER JOIN Qtr_Dates
ON (Open_Prices.Ticker = Qtr_Dates.Ticker)
AND (Open_Prices.Date1 = Qtr_Dates.Qtr_Start)
)
INNER JOIN
Historical_Stock_Prices AS Close_Prices
ON (Qtr_Dates.Ticker = Close_Prices.Ticker)
AND (Qtr_Dates.Qtr_End = Close_Prices.Date1)