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.
Related
]Difference and percent Difference must be calculated.
I cannot do Apr20-MAy20 because it is not always the same. I need to show the current month and previous month
So I did a relative filter to just show the current month and previous month.
So the difference of two columns should automatically change when the month changes.
Now how do I get the same month of prior year, how do I filter ?
I also need to calculate the difference of current year same month and previous year same month.
Thank you in advance for any help!
When I do table across difference, the difference value is overwriting the existing May and Apr month values as the below screen shot, how to show the difference in another column
Currently:
Below is Expected:
Sounds like you should create a custom filter for the dates. You want:
This month this year
This month last year
Last month this year
There are a number of ways you could do this. I'll give one example and will assume there aren't any future dates in your data set.
[DateFilter]: DATETRUNC('month',[YourDateField])>=DATETRUNC('month',DATEADD('month',-1,TODAY())) OR DATETRUNC('month',[YourDateField])=DATETRUNC('month',DATEADD('year',-1,TODAY()))
Put the to the filters shelf, set to True, and it should keep the months you want.
Then you can just use the standard table calculations to calculate Difference and Percent Difference.
Note, the formula isn't tested, just typed directly into here, let me know if it doesn't work
Based on your comments look at creating separate calculations for to YoY / MoM / etc calculation. That also means creating calculated fields to isolate the Current Month, Previous Month, etc.
For example, the current month:
[isCM]: DATETRUNC('month',[YourDateField]) = DATETRUNC('month',TODAY())
The previous month:
[isPM]: DATETRUNC('month',[YourDateField]) = DATETRUNC('month',DATEADD('month',-1,TODAY()))
Then month on month, something like:
[MoM]: (SUM([Measure])*INT([isCM]))/(SUM([Measure])*INT([isPM]))
To make your table check this article about using the placeholder technique to create tables in Tableau
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 would like a spreadsheet row to contain the date of today, but only on every other Thursday, changing at 9:30 am.
To give you an example:
Next thursday the 21.07.16 it shell contain "21.07.16".
Until in exactly 14 days on thursday the 4.08.16 it shell contain this date and than change to 4.08.16.
Also I would like this change to happen at 9:30 am.
I can not think of a way how to do this. Can you point me into a direction?
One has to set a starting datetime somewhere in the past, such as July 7, 2016, at 9:30am.
Then find the difference between the current and the starting datetime. Truncate this difference down to a multiple of 14, and add this value to the starting datetime.
The datetimes are represented in Sheets numerically as the number of days since December 30, 1899. In this system, 2016-07-07 9:30 is about 42558.4 So the formula would be
=42558.4 + 14*floor((now()-42558.4)/14)
The output should be formatted as a date.
A less cryptic version is
=value("2016-07-07 09:30") + 14*floor((now() - value("2016-07-07 09:30"))/14)
(value follows the local convention for parsing dates, but I hope the format I used will be understood universally.)
I need to set a validation rule in Access so that the DateOfArrival is always after the DateOfTheOrder.
I also have to make sure that the DateOfArrival is not set too far away in the future...so it shouldn't be greater than the current year or the following at max (for cases such: order 31 dec 2015, arrival 1 jan 2016).
I've put:
[DateOfArrival]>[DateofOrder] AND [DateOfArrival]<=Year(Date())+1
in the validation rules but if I enter DateofOrder=31/12/2015 and DateOfArrival=01/01/2016 it gives me an error. Can you help me?
The error must be in the second part of the rule.
[dateOfArrival] is a Date, while YEAR(Date()) is an Integer ...
When comparing them, [dateOfArrival] will be considered as a number, being the number of days since the 31/12/1899, and YEAR(date()) will be definitely and always lower than this number.
You should compare YEAR(dateOfArrival) with YEAR(date()))!
What date time format is this : 735715:37344280
<ExecDateTOD Friendly="Monday April 27, 2015 10:23:00am">735715:37344280</ExecDateTOD>
It's found in C:\Windows\Performance\WinSAT\DataStore\file_name.xml, and is the date time when the Windows Experience Index Assessment test was run.
Any idea how it's structured and can be edited? I need to change it to a previous years Date.
It seems that this format is called VariantTime, in MSDN the call to convert time is called VariantTimeToSystemTime. So it may be number of days, with decimal part after the :.
For the timestamp 735715:37344280
The first number (the one before the colon) is the number of days since the year 0:
735715 / 365 = 2015.66
The second number (the one after the colon) is the number of milliseconds that have passed within the current day.
37344280 / (1000*60*60) = 10.37 hours since start of day
So you can just subtract 365 days from the first number to obtain the previous year like this:
<ExecDateTOD Friendly="Monday April 27, 2014 10:23:00am">735350:37344280</ExecDateTOD>
Note that there were no leap years in either 2015 or 2014, so these year are exactly 365 days long.
Here is a link to a page with another <ExecDateTOD> tag where you can compare: http://www.scribd.com/doc/82935159/2012-01-30-16-00-49-986-Formal-assessment-Recent-WinSAT#scribd
I think that if you subtract 365 from that number, you'll be in previous year.
That number seems to be days since the year 0. The first part might be the number of days, taking into account leap years, etc). The second part the time coded in some way.