I have created a visualization that gives me the percentage change in the number of sales from one year to the next.
This visualization varies according to a date filter.
I have data since March 1st 2021.
Here is my problem: If I filter on the period "January 1, 2022 to October 1, 2022" I have a problem with my visualization, it will be false because it will compare this period of 9 months with the same period in 2021, except that in 2021 I am missing 2 months (January and February 2021).
Do you know if it is possible to display nothing on this visualization if the filtered period starts before March 1st 2022?
I prefer to display nothing rather than a false value.
i think a solution here would be adding a parameter to the visual instead of a slicer.
With the formula if & else.
Related
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 have downloaded a dataset called Real estate valuation data set from https://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set?source=post_page . But I am not able to understand in which format the transaction date is given. They have given some examples like 2013.250=2013 March, 2013.500=2013 June, etc.
I encountered this same problem and I figured that the months were represented as a fraction of a year. So, for instance, June is the 6th month of the year, hence it is 6/12 = 0.5; that's why we had June 2013 as 2013.500, etc.
I am trying to get week numbers ( resetting at 1 for each month) as per ISO format for each month in 2019.For example I am interested in getting
All dates in July 2019: week 1 to 4,
All dates in Aug 2019 : week 1 to 4 and so on.
I first created the calculated field (Week_Number_ISO) to get the overall week number in year 2019.I used the following formula;
DATEPART('iso-week',[ Date]) which works as intended.
To get the monthly week number I used the following formula
INT((DATEPART('day',[Created Date])-DATEPART('iso-weekday',[Created Date])+7)/7)+1.
(Idea was to calculate the date of the first day of each week & then divide by 7 and take the integer part)
As per the ISO format, shouldn't July 29 to 31st be a part of week 4 for July?But the formula is showing it as week 5 for July 2019.I feel I am missing something in the formula or am missing something about ISO week number resetting at 1 for each month.
Can someone help me?
Here is an example of the dates in July 2019 and the associated week numbers.
Why would July 28th-July 31st 2019 be considered week 4?
I have a requirement in which I have to show the data of last month of each year. So I used a max_month LOD expression which is working fine for all the years except rolling year. My rolling year ranges from Aug 2017 to July 2018. Now when I am using max_month filter for rolling year it is showing me the data of december 2017, but in actual I want to show july 2018. What will be the right approach to fix this?
I am not sure even if your formula worked, its missing basic syntax, and based on your explanation table calculation is missing the Computation logic.
Implemented the same at my end and below is the logic.
Formula to be used:
If MAX(MONTH([Order Date]))=WINDOW_MAX(MAX(MONTH([Order Date])))
THEN 'TRUE'
ELSE 'FALSE'
END
For this table calculation you need to compute along year and corresponding dimension and reset at every year (I guess you are missing this in your current logic).
Let me know how it goes
I need to modify some Tableau dashboards so that they show from the previous month going back 12 months.
For example, it is August 2017 now, so the company wants to see the 12 months ending at July 2017. In other words: Aug 2016, Sept 2016, Oct 2016...June 2017, July 2017.
Using Tableau's relative date filter, users can easily select "previous month" (July 2017) or "previous 12 months" (Sept 2016-Aug 2017) on the relative date filter. But they can't choose previous month going back 12 months (Aug 2016-July 2017).
I was thinking of writing a formula that sets current month as 0, previous month as 1, month before that as 2 etc and that way I can filter to only show months 1, 2, ...12. And not show month 0, the current month.
Is this the best approach? I thought Tableau would have an option for this - surely a lot of companies want to see a year worth of data ending at the previous month? (Since the current month is not yet complete so they don't want to see a partial month's data).
Thanks for your ideas!
You are right about this being a common requirement. I do 'Last 12 months' filter too which excludes current month since it is not a full month.
In my case I have defined a True/False type calculated field which I use to filter records which show in the dashboards.
Here is the formula that I use:
DATEDIFF('month',[My Timestamp Field],Today()) < 13 and DATEDIFF('month',[My Timestamp Field],Today()) > 0