in my table one of column is Status and Date
if suppose i want to get max(date) for each state then i can use group by of date
But here my problem is i want to get max(date) for each transaction
NOT FOR EACH STATUS
that means, my status values like ,create / modify / modify / submit / reject / modify / submit / reject / modify / submit
now i want to get each transaction along with max date like
- create /(only one) modify / submit / reject / (again) modify /submit
/ reject / modify / Submit...
Can any one please suggest me to find solution for the above.
Thanks in advance
Joe
I would select all the rows sorted by create date:
SELECT status, created
FROM t
WHERE tid = 1
ORDER BY created
Then filter (in the language of your choice) dropping any row that has a row after it of the same status.
However this will not quite work for you.
Your data only contains a date column and as there are many status on a given date so there will be no order for a several statuses on a single day, you can solve this by storing the date/time created.
Depending on your database it may also be possible to produce the data using an analytic query.
Related
I want to find the number of customers per subscription plan at the end of the acquisition month.
As you can see in the workbook, customers can change their subscription plan on any date, but I only want to find the subscription plan at the end of the acquisition month.
I created a field, called EOM Acquisition, but need to find the desired output below for any given month of acquisition. (in sample dataset only October).
How can I do that? Thanks in advance!
Please proceed like this. Create a new calculated field say calculation1 as follows-
IF [Date] = [EOM Acquisition] then [Subscription Plan] END
drag this field instead of subs plan in view and filter out null values, you'll get what you want
Another way add a calc field as follows
IF [Date] = [EOM Acquisition] then 1 ELSE 0 END
And thereafter add sum on this field as measure alongwith EOM and subscription fields.
I have a table of users and another table of transactions.
The transactions all have a date against them. What I am trying to ascertain for each user is the average time between transactions.
User | Transaction Date
-----+-----------------
A | 2001-01-01
A | 2001-01-10
A | 2001-01-12
Consider the above transactions for user A. I am basically looking for the distance from one transaction to the next chronologically to determine the distances.
There are 9 days between transactions one and two; and there are 2 days between transactions three and four. The average of these is obviously 4.5, so I would want to identify the average time between user A's transactions to be 4.5 days.
Any idea of how to achieve this in Tableau?
I am trying to create a calculated field for each transaction to identify the date of the "next" transaction but I am struggling.
{ FIXED [user id] : MIN(IF [Transaction Date] > **this transaction date** THEN [Transaction Date]) }
I am not sure what to replace this transaction date with or whether this is the right approach at all.
Any advice would be greatly appreciated.
LODs dont have access to previous values directly, so you need to create a self join in your data connection. Follow below steps to achieve what you want.
Create a self join with your data with following criteria
Create an LOD calculation as below
{FIXED [User],[Transaction Date]:
MIN(DATEDIFF('day',[Transaction Date],[Transaction Date (Data1)]))
}
Build the View
PS: If you want to improve the performance, Custom SQL might be the way.
The only type of calculation that can take order sequence into account (e.g., when the value for a calculated field depends on the value of the immediately preceding row) is a table calc. You can't use an LOD calc for this kind of problem.
You'll need to understand how partitioning and addressing works with table calcs, along with specifying your sort order criteria. See the online help. You can then do something like, for example, define days_since_last_transaction as:
if first() > 0 then min([Transaction Date]) -
lookup(min([Transaction Date]), -1) end
If you have very large data or for other reasons want to do your calculations at the database instead of in Tableau by a table calc, then you use SQL windowing (aka analytical) queries instead via Tableau's custom SQL.
Please attach an example workbook and anything you tried along with the error you have.
This might not be useful if you cannot set User ID Field as a filter.
So, you can set
User ID
as a filter. Then following the steps mentioned in here will lead you to calculating difference between any two dates. Ideally if you select any one value in the filter, the calculated field from the link should give you the difference in the dates that you have in the transaction dates column.
I have a query from another thread which goes through a list of different events and pulls out the most recent event and puts it into a list. The code I'm using is:
SELECT Cleaning1, Max(Date1) AS most_recent
FROM CleaningLog
GROUP BY Cleaning1;
Cleaning1 is the column that has the different cleanings, and Date1 is the column that has the date the cleaning occurred, and CleaningLog is the name of the table. I currently have a macro in Access which is an OpenQuery, query. I am having it open the above query, and then having it view as a data sheet and it's in edit mode.
What I am stuck on, is getting a subsequent macro/query/vba code to take the datasheet the query produces and going through each item and determining if they're over due to be cleaned. I tried having a Make Table query, but the problem is, there is no user friendly way to refresh that table without having to delete it (I am having unskilled workers use this Access sheet).
I am wondering if there's a way to look at the most recent cleaning's date, what the query produces, and filter the dates out that are over due for a cleaning, specified by a parameter. I have been looking at this webpage to start playing with the notation, but I haven't been able to come up with much that is useful.
https://support.office.com/en-us/article/Examples-of-query-criteria-3197228C-8684-4552-AC03-ABA746FB29D8
Another problem that I am encountering is that each cleaning doesn't have the same time frame in which is needs to be cleaned.
Thank you in advance for any help!!
You should just be able to modify the query above to show entries with a max date lower than they should be. Below shows entries that haven't been cleaned in 30 days, for instance.
SELECT Cleaning1, Max(Date1) AS most_recent
FROM CleaningLog
GROUP BY Cleaning1
HAVING Max(Date1) < Now() - 30;
Wondering the best SQL to handle below situation: Client only wants to see invoices that have been declined. I started with only show me when STATUS_ID = 2, but then realized that it was paid as it was resubmitted and accepted so that didn't work. What is the best way to handle 2 records like below where I don't want the SQL to return any records if manifest + order code have a 1. Would you do a Min on Status ID or something of that nature?
VENDOR NAME manifest ORDER_CODE STATUS_ID
VENDOR 12345 BHGSDKJF1234 RU07 2 (invoice decline)
VENDOR 12345 BHGSDKJF1234 RU07 1 (paid)
This trick can be work for you in this case, but it's not solve the general case (what happens if the STATUS_ID for paid is 3, and all possible values are 0-5?)
you can use in general SWICH-CASE clause, that gives you some 1 (true) if the client has STATUS_ID = 1, and 0 otherwise. Then, pick the MAX() for each invoice.
You can also consider another design that might work for you:
Add time\time-stamp column (Maybe, for your purpose, you can use SYSDATE time for insertion time of the record to db).
After you have a time column, you probably can choose the columns with the last time STATUS_ID for each invoice (get the STATUS_ID in the row with the max time).
I want to set the default range on a date filter to show me the last 10 days - so basically looking at the lastDate (max date) in the data and default filtering only on the last 10 days (maxDate - 10)
How it looks now:
I still would want to the see the entire range bar on the dashboard and give the user the ability to modify the selected range if he wants to. The maxDate changes after every data refresh so it has to be some sort of a condition that is applied to the filter.
How I want it to look (by default after every refresh of data - new dates coming in):
Any suggestions on how this can be done? I know I can use the relative date and show the data for last 10 days but that would modify the filter and create a drop down which I don't want.
Any suggestions are welcome!
One simple approach that does most of what you want is the following:
Create an integer valued parameter with a range from 1 to some max
you choose, say 100. Call it say num_days.
Show the parameter control on your dashboard as a slider, and give
it a nice title like "Number of days to display"
Create a boolean calculated field called Within_Day_Range defined as:
datediff('minute', [My_Date_Field], now()) < [num_days] * 24 * 60
Put Within_Day_Range on the filter shelf and select the value true.
This lets the user easily select how many days in the past to include, and works to the granularity of minutes (i.e. the last two days really means the last 48 hours, not starting at midnight yesterday). Adjust the calculated field if you want different behavior.
The main drawback of this approach as described so far is that it doesn't display the earliest date possible in the database because that is filtered out. Quick filters do an initial query to get the bounds, which has a performance cost -- so using the approach described here can avoid that query and thus load faster.
If you really need that information on your dashboard, you could create a different worksheet to get just the min([My_Date_Field]) and display that near your parameter control.