count_distinct | An extension with alternative to COUNT
kandi X-RAY | count_distinct Summary
kandi X-RAY | count_distinct Summary
An extension with alternative to COUNT(DISTINCT ...) aggregate in PostgreSQL.
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QUESTION
I am looking for a way to take the number of [Closed Time] records as a total count and subtract from the number of [Open Time] records as a total count to be able to find the percentage of closed tickets.
To explain a little more, every ticket has a [Open Time] that is in a DateTime format. When a ticket is closed, a [Closed Time] is entered in the data source in a DateTime format. So I am looking to find out the percentage of tickets that were opened that are now closed.
Tried to use
...ANSWER
Answered 2022-Mar-14 at 18:29This was resolved by using the following calculated field setup for the data source:
QUESTION
I have browsed the other answers relating to grouping aliased columns but I believe what I am attempting to do is very common and I am super confused as to why this would create such a complex query that would require a ton of subqueries or CTEs. My goal is to look at different columns that are currently in use and determine the percentage of null or distinct values in each column. To do this, I am simply trying to apply the same logic to all of the for multiple different fields (400) in a new column for each column/variable. I would like my result table to look like this:
...ANSWER
Answered 2022-Jan-24 at 19:10It is actually quite simple :-)
No need for GROUP BY.
QUESTION
Let's imagine that I have the following data on a QuestDB table:
...ANSWER
Answered 2021-Dec-10 at 21:14You can do with left join
QUESTION
We have a list of tasks on the website that all users need to perform before they are able to apply for a job. Tracked by Events
I'm able to create a table by userid
that shows all the task that were completed by that user and then I'm able to create a table that shows distinct count of all tasks they've finished.
To count the task events, I've created a new metric
...ANSWER
Answered 2021-Nov-01 at 21:24Took a while, but I finally figured this one out.
First you have to create three new metrics, one to count distinct events and one to count distinct user IDs You need a third to convert the distinct event counts into a usable metric for calculating a completion % and is based on the distinct event counts.
Then I created filters to isolate the specific events I'm interested in.
Since you can't re-aggregate data or apply filters based on a custom metrics in a data source, I created two separate tables with the necessary filters in order to blend the data.
I then blended the data and created the necessary additional filter based on the event count and applied to desired blended source. In this case, I want to see all users with an ID that finished 11 tasks.
Blended table
Blended data source
The final step is divide the total number of desired events / total users to get a completion rate.
And here's the custom metric for that.
This is pretty controverted and took taking several technics from several blog sources and combining them into one work flow.
QUESTION
I have a dataset in Google Sheets that records updates to projects over time:
...ANSWER
Answered 2021-Sep-21 at 13:42This was solved by converting each combination of values to a number in a separate field x
:
QUESTION
I'm using a tidyquery library in R to run SQL queries on my dataframe.
I'd like to keep the existing condition for Category but add a BETWEEN for end date i.e.
Actual date
is BETWEEN '2021-01-01' AND '2021-01-31'
How can I do this? Thanks. Edit: Original query
...ANSWER
Answered 2021-Aug-26 at 13:53The SQL BETWEEN clause is implemented through a call to the between function of dplyr, which unfortunately doesn't work with strings and the date litterals you pass in your call are intrepreted as strings. You must convert them into date explicitely in the SQL query:
An example with a simple dataset of mines
QUESTION
I am trying to count_distinct
the invoice number from a table (using Google Sheets as data source). The invoice numbers may be numeric or alphanumeric. The problem is the count_distinct
only counts numeric invoice numbers, while alphanumeric ones are not included in the count.
How can I fix this problem?
...ANSWER
Answered 2021-Aug-13 at 07:56The issue is presumably that the column in formated as numbers in Google Sheets and therefore all alphanumeric fields are transmitted as null
to Data Studio. Changing the column to text-formation in Data Studio does not solve the issue.
The only way is to format this column in Sheets as text.
QUESTION
I am trying to implement the method that counts the number of distinct values in a queue. For example, if the queue looks like this: [1, 2, 2, 4, 4, 4, 8, 8, 10], then the method should return 5.
So I create the function like this:
...ANSWER
Answered 2021-Jul-25 at 06:45Use Counter
from itertools:
QUESTION
I have a long column header that I would like to display on 2 lines instead of 1 in SQL SERVER.
Instead of the column header reading COUNT_DISTINCT_TRUCK_VIN, I would like to see
COUNT_DISTINCT
TRUCK_VIN
Another way to put it is that I would like to be able to wrap the text within the column header as one would in excel.
Is there any way to do this?
Thanks
...ANSWER
Answered 2021-May-19 at 13:22I could do it using SQL string variable. But I am not sure how successful it is because I cannot expand the column height to see the full column header in SQL server result pane. Char(13)+Char(10) will be able to use in this scenario. They are as bellow added:
QUESTION
I have a tasks in BigQuery with created date and last modified date. I would like to be able to report the number of task open and task close events by date in the same table if possible.
...ANSWER
Answered 2021-Jan-19 at 09:16A colleague has suggested a solution. Stacking the tasks table on itself creates (up to) two rows per task.
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