I have an issue in obiee11g.The function week_of_year() would retrieve week number as 2 for the date '04-01-2016' but should be the first week in 2016.How can i calculate it as first week of 2016 as the requirement is to display this weeknumber.and also all the other week numbers should work fine.Is it abug in obiee11g?
Thanks
You need to create a Time dimension which will calculate and load a Time (or Date) dimension. In Oracle Fusion applications, this is called "Date Leveling". I'm not sure what it's called in the BI Admin tool.
Either that, or add the appropriate logic in BI Answers to offset the Week number appropriately.
Related
I am trying to create a measure which calculates the average daily revenue per customer, but only using days in a 6 months period prior to a specific date (where some type of conversion happens).
This specific date can be different for each customer.
The intention is to use the measure as a baseline for indexing daily average in the days/months/years after said conversion date.
If I put my current version of the measure in a card it works just fine (circled in green). But I will eventually have to visualize this over time as well. Thus I need the value to stay the same regardless of the row/date context in a table or timeline (circled in orange).
I suspect I need to use one of the ALL/ALLSELECTED/ALLEXCEPT filter modifiers but I can't really get anything to work.
The measure looks like this for now:
Average daily rev before conversion = CALCULATE (
AVERAGEX(
VALUES('Date'[Date]),
[HI & Acc Rev]
),
FILTER('poc vFact_SalesLine','poc vFact_SalesLine'[OrderDate_ID] IN DATESINPERIOD('Date'[Date],FIRSTNONBLANK('poc vDim_Customer'[DSE first conversion date],1),-6,MONTH)))
I've tried adding REMOVEFILTERS('Date'[Date]) just before the filtering of order dates, but that doesn't work. Gives me the exact same values as shown below.
All help is very welcome? Is my approach all wrong?
I have got a table that only contains two column Legend (for Dates) and EOD Volume (for volume) as shown below.
I need to calculate the difference between the previous date volume. For example to calculate the difference between Feb 29 to March 2nd, it will be ((1469-1877) / 1469) * 100%. How to do create this measure in power BI. And the data also contains weekends and weekdays and i will need the analysis for all dates regardless of weekends and/or weekdays. Could someone please help me on this. Thank you in advance.
My propose solution works in a table at day granularity. Additionally, to handle working day the best-practice is to manage it as a binary attribute in the back-end because working days differ country by country so there is no standard dynamic way to handle them.
Possible Solution:=
VAR _YESTERDAY = CALCULATE(MAX('Fact'[EOD Volume]), PREVIOUSDAY('Calendar'[CalendarKey]))
VAR _TODAY = CALCULATE(MAX('Fact'[EOD Volume]))
RETURN
DIVIDE(_TODAY - _YESTERDAY, ABS(_YESTERDAY))
I have a google sheet that gets filled via a google form.
Time stamps are created every time a bar code (work order number) is scanned.
The work order number is in the first column.
The 4 unique time stamp fields below are populated in the 2nd column from the google form.
Setup start
Setup finish
Production start
Production finish
The time stamp is created in the 3rd column.
I am trying to do conditional formatting
where the total setup time and production time are calculated but they are tied to their respective work order number.
time stamp functionality
The difficulty is that the timestamp values all fall into one vertical column.
I don't want a mix up of timestamp values with different work order numbers.
The work order numbers along with the 4 unique time stamp values may be input at various times so the formula can't be order specific.
Is there a way to do this? Thanks!
Below is an example link of the spreadsheet I have:
https://drive.google.com/open?id=1YA86jGq_jMsx-wKe19TnZZyf9F4aW6_kUIbrz8hkLJI
Make a pivot table of the data from the form, then use simple formulas adjacent to the new pivot to get the results you are trying to get. Example Image
I have a report that takes sales data from a few tables. I want to add a field that will divide the total sales for the given month by the total number of business days in that same month. Is there a way I can calculate that in an expression? Do I need to create a new table in the database specifically for months and their number of business days? How should I go about this?
Thank you
Intuitively, I would say that you need a simple function and a table.
The table is to host the exceptions like Independence day, labor day, etc.
The function will get two parameters: Month and Year (I'm not providing any sample code since you haven't specified which language you are using).
It will then build a date as yyyy-mm-01 (meaning, first day of the month). If will then loop from 2 to 31 and:
Create a new date by adding the index of the loop to the initial date,
Check if the resulting date is still within the month,
Check if it is a working or not working day (e.g. Sunday),
Check if it is found within the table of exceptions.
If the created date passes all the above tests, you add 1 to the counter.
Though it might look complex, it is not and it will provide you the correct answer regardless of the month (e.g. Feb.) and the year (leap or not).
I am creating an SSRS Report based on a Stored Procedure; the procedure calls in the last six months of data based on the month the user enters into a parameter (ex. 201604). Currently I have this data going into a matrix, and along with those six months the report needs to have a variance column for the latest vs. directly prior month (ex. 201604 vs. 201603)
Right now I have a formula that works using a column that I created within the stored procedure to designate whether the month a row is in is CURRENT, PRIOR, or NONE if it is not being used in the calculation.
=SUM(IIF(Fields!VarHelper.Value = "CURRENT",1,0) * Fields!stock_value.Value
-
IIF(Fields!VarHelper.Value = "PRIOR",1,0) * Fields!stock_value.Value)
I am using this formula in three areas/cells on the report, and for some reason it is causing the report to run very slowly (around 45 seconds to run). Without these variance formulas in the report it runs almost instantaneously.
Would someone be able to either a).suggest a better method of calculating the variance between the latest two months in a matrix, or b).be able to at least shed some light on why this may be impacting report performance?
Thank you in advance!
Try to report the calculations on the query.
Two ways possible : if you made a sql query : make it in the select.
Or, add calculted field in the dataset.
And make sum on these fields.
May be you will win time : because the database server will make the job instead of the report server.