I am fetching results from Google Analytics web api. I am accessing results giving different dimensions like hour, day, week, yearMonth etc dynamically based on the time gap between start-date and end-date.
Here the problem I am facing is with sort-metric parameter. For dimension = day, sort-metric = date works fine but for other dimensions like week, month and year it sorts in ascending order based on the given dimension.
Say for months, I select start-date = june, 2013 and end-date = june, 2014, the results are sorted as jan, 2014;feb, 2014;mar, 2014;apr, 2014;may, 2014;june, 2013;june, 2014;july, 2013;july, 2014....etc
But the desired sort order should be june, 2013;july, 2013...dec, 2013;jan, 2014.....jun, 2014
I need correct sort-metric parameter values for above mentioned dimensions(hour, day, week, yearMonth).
Thanks in advance!
You can use an array in the sort parameter.
In this example you would have to use array('month', 'year')
Related
I am trying to create a report that shows total sales for the previous financial year (March-April), the current financial ytd, and the previous month in powerbi. I do not want to include any date attributes in the report or place any date filters on the report.
The 2 measures below are working as expected, but I am running into issues when trying to calculate for the previous month.
This Year = CALCULATE('Fact InvoiceLine'[Total Fare Currency],
DATESYTD(ENDOFYEAR(dateadd('Date'[Date], -2,Year),"3/31"),"3/31"))
Previous Year = CALCULATE('Fact InvoiceLine'[Total Fare Currency],
DATESYTD(ENDOFYEAR(dateadd('Date'[Date], -3,Year),"3/31"),"3/31"))
The closest I have been able to get, though it's still far from what I need.... is this,
Last Month = CALCULATE('Fact InvoiceLine'[Total Fare Currency],
DATESMTD(ENDOFMONTH(dateadd('Date'[Date], -2,YEAR))))
which goes back 11 calendar months, but what I need is to see the total for 1 calendar month. Using PREVIOUSMONTH does not work either, as that requires either a date filter or date value in the report.
Last Month =
CALCULATE([Total Fare Currency],
FILTER(ALL('Date'),'Date'[Date] >= EOMONTH(TODAY(),-2)+1),
FILTER(ALL('Date'),'Date'[Date] <= EOMONTH(TODAY(),-1))
)
I want to create a graph line in tableau with a count distinct id per month.
I use an excel spreadsheet that is updated a few times per month but never on the same date, so I have different dates registered as months go by.
I want to use the last date registered per month so I can use that date to show month's trend through the years. Each id represent a different construction building, so it is expected that the same id can be found on different months.
This is what I tried: Tableau Fixed (LOD) formula the get last date registered per each month:
{ FIXED [id_constructionbuilding], MONTH([date_registered]): MAX([date_registered])}
Then I use rows and columns in tableau but I get more than one max date (my excel has 2020 and 2021 dates, so it's picking dates from October 2020 and October 2021 for example). Dates are order according to Spanish so you will see month and days shifted:
I would suggest updating your calculated field to:
{ FIXED [id_constructionbuilding],DATETRUNC('month', [date_registered]), DATETRUNC('year', [date_registered]):MAX([date_registered])}
This will keep the level of detail (LOD) to the id_constru..., month and year.
I am trying to compare yesterday's data to the same day the year before. For example, yesterday is 11 November 2018. I want to compare to 12 November 2017 (same day but the year before). I am wanting this to be applied automatically on the filter so all I need to do is open the file and verify the numbers are correct before sending off the report.
Any help would be appreciated.
Thanks
There are many Tableau functions that manipulate dates. A couple in particular are relevant to your problem:
Today() - returns the current date
DateAdd() - adds or subtracts an interval from a date. For instance, DateAdd('year', Today(), -1) gives the date one year prior to today. The first argument to DateAdd is the level of granularity or date part.
DateDiff() - determines the difference of the interval between two dates. DateDiff('day', [Start Date], [End Date]) returns the number of days separating the two date arguments.
The functions are well documented in the online help. Construct the formulas you need and filter accordingly.
Isolate yesterday's date as its own field. For instance if that is the max date in your data, then {max([Date])} would create an LOD of the maximum date.
Then make a calculation that will display the same date last year:
year([Date]) = year([max_date])-1
and datepart('week',[Date]) = datepart('week',[max_date])
and datepart('weekday',[Date]) = datepart('weekday',[max_date])
I have a date column which I am trying to query to return only the largest date per month.
What I currently have, albeit very simple, returns 99% of what I am looking for. For example, If I list the column in ascending order the first entry is 2016-10-17 and ranges up to 2017-10-06.
A point to note is that the last day of every month may not be present in the data, so I'm really just looking to pull back whatever is the "largest" date present for any existing month.
The query I'm running at the moment looks like
SELECT MAX(date_col)
FROM schema_name.table_name
WHERE <condition1>
AND <condition2>
GROUP BY EXTRACT (MONTH FROM date_col)
ORDER BY max;
This does actually return most of what I'm looking for - what I'm actually getting back is
"2016-11-30"
"2016-12-30"
"2017-01-31"
"2017-02-28"
"2017-03-31"
"2017-04-28"
"2017-05-31"
"2017-06-30"
"2017-07-31"
"2017-08-31"
"2017-09-29"
"2017-10-06"
which are indeed the maximal values present for every month in the column. However, the result set doesn't seem to include the maximum date value from October 2016 (The first months worth of data in the column). There are multiple values in the column for that month, ranging up to 2016-10-31.
If anyone could point out why the max value for this month isn't being returned, I'd much appreciate it.
You are grouping by month (1 to 12) rather than by month and year. Since 2017-10-06 is greater than any day in October 2016, that's what you get for the "October" group.
You should
GROUP BY date_trunc('month', date_col)
I have a variable called sentDate which stores the month and day from Nov 27th - Dec 6th.Each day has a number of sentiment ratings that it represents therefore I need to assign unique day codes to each day so I can perform...
allSents(dayCodes==1)
So far I have managed to assign day codes using...
[a,b,dayCodes]=unique(sentDate);
[d,e,allSents]=unique(sentiment);
However the day codes take the last digit on the date e.g 27th becomes 7, 28th becomes 8, etc. I need it so the day codes start from 1 and increase for each day until the 6th of December, therefore 1-11.
Any idea on how I may do this ?
have you tried the datenum function? then subtract off whatever offset to give the appropriate start day number.
For those who may have a similar problem, by specifying stable in as a parameter e.g
[a,b,dayCodes]=unique(sentDate,'stable');
Will specify the daycodes in the same order as in sentDate.