I want to summarize sql query result week wise and month wise at the same time in a grid view. Is this even possible or I am just dreaming?
Requirement:
Show last one month data and next two month's data week wise in the grid.
Example-
If the current month is September then I want to show data from 1st August to 31st October categorized in weeks.
Show the data after the next month of current month in month wise view in the same grid.
Example-
data for month November and December will be shown categorized in month not in weeks.
grid or result should look something like below -
Please suggest something to achieve this
If you want a maintainable solution, use two independent queries, one for weekly aggregation other for monthly. Depending on the input run corresponding query.
I think you must work with group by or group by ... cube
SELECT x , y from <tabel> GROUP BY date_feld( to_char( 'MM' ))
but i don't now your DBMS so i can't give you a exact example for the date handling.
Related
I have a dataset with the structure below.
I want to calculate a monthly average of the views.
I attempted to calculate the yearly frequency with the following code and I believe it is correct
SELECT
EXTRACT (YEAR FROM TO_DATE("date",'Month YYYY') ) AS "year",
AVG("views")
FROM talks
GROUP BY EXTRACT (YEAR FROM TO_DATE("date",'Month YYYY') )
ORDER BY "year" DESC
When it comes to the monthly analysis I have the problem that there several records for the same month in a year and there several years with the same months (in reality the dataset has information for many years - this a reduced version).
How can I go to implement this?
If you want the average per month then just group by your current date field.
If you want the average per month regardless of year then you would have to extract the month part of the current date field and group by that.
But your date field now appears to be having string data type; it would be better to use proper date data type. Then your analysis would be much easier, more flexible, better performing.
I am trying to dynamically get the dates, starting from begging of month to current date using SSAS Tabular - DAX, I have tried many date functions but I couldn't end up with solution, so is there any idea to share pls ?
The following DAX function will return a table of DATES for each day from the start of the current month through today:
DatesMTD = CALENDAR(DATE(YEAR(TODAY()), MONTH(TODAY()), 1), TODAY())
To be able to filter the dates for the first 10 days, create a calculated column that identifies as a date in this range
1st to 10th Date = If(Day([Date]) <11,1,0)
This can then be used to either filter out the dates past the 10th of each month
I have a table in a data model that has forecast figures for the next 3 months. What I want to do is to show what the forecast number for the current month to date is.
When I use the DATESMTD function like this:
=CALCULATE(SUM(InternetSales_USD[SalesAmount_USD]),DATESMTD(DateTime[DateKey]))
I get the last month of my data summarised as a total. I assume that is because the DATESMTD function takes the last date in the column and that is 3 months away.
How do I make sure I get this current month MTD total rather then the end of the calendar? The formula should be clever enough to realise I am in May and want the May MTD not the August MTD.
Any ideas?
The way to do this is to do this:
Forecast_Transaction_MTD:=CALCULATE(sum('ATO Online'[2017 Transaction Forecast]), DATESINPERIOD('ATO Online'[Current Year],TODAY(),-day(TODAY()),day))
the last -day(TODAY()) gets the day number for the current day and subtract it from today's date. So, today is the 25 May. the -day(TODAY())),day)) extracts the day (25) and subtracts it from the current date to get me to the 1 May.
The rest of the formula just adds the total for the dates.
I have an SQL query I need to run once a month.
The data set the query produces always has to be from the 11th of the month before to the 10th of the current month.
I now manualy run the query in the fews days after the 11th day of the month manually adjusting the date range in my where statement:
for example...
Where Column A is greater than 10/10/2015 and less than 12/11/15
I was hoping there would be a statement I could add to my query to automatically find the 11th day of the last month and the 10th of the current month. This way I could schedule the query and automatically email the results.
You should be able to use the following within your query: -
CONVERT(date,FORMAT(GETDATE(),'yyyy-MM')+'-10')
(for the 10th of this month)
and
CONVERT(date,FORMAT(DATEADD(m,-1,GETDATE()),'yyyy-MM')+'-11')
(for the 11th of last month).
Try to look out the MONTH() function in your working DBMS. In MySQL and MSSQL it returns a number (1 been january) corresponding to the current month that your system is (you may check if it's date is updated).
With this function you can subtract 1 to get the last month, having to do some logic when the current one is January, hence 1. Since now you should get 12 (december) intead of 0 (an error).
Cheers, mate!
I have a situation where the metric calculation(Month to Date Sales) is based on the month from the report date filter.
We want the month to date filter to be for the report month and not the current month - in other words, if the user selects 03/10/2015 for the report date, we want the month sales to be the sales for March,
and not the sales for June.
Is there a way to parse the report date to extract the report month into a variable that can be used in the ‘where' clause of the metrics in order to generate the desired results.
Thanks in advance.
I am not entirely sure if this answers your question, but achieving something like this may be possible when using disconnected timeline date filter. Your metric should look like this:
SELECT Sales_metric BY Month/Year (Date) ALL OTHER WHERE Month/Year (Date) = (SELECT MAX(Month/Year (Timeline)) BY ALL OTHER EXCEPT Date (Timeline))
I hope this helps, in case if it doesn't feel free to log a ticket to GoodData Support at support#gooddata.com.