Cummulative Count by Date with Dates

[Bostox]

hi power bi community

I've searched the forum looking for an answer but couldn't find any.
so i have to ask you

I have a Timestamp Database with date and time HH:MM:SS making requests that are difficult to repeat

I can do a pretty easy daily/monthly/yearly count with just this table, but I don't know how to do a cumulative count

Medida = CALCULATE(

COUNT(

Documentos[Fecha Salida Planta]),

FILTER(ALLSELECTED(Documentos),

MAX([Fecha Salida Planta]) >= [Fecha Salida Planta]))

[Bostox · Accepted solution]

Found Solution

Work with Filters and Delete Blank Data

Responsive Cummulative =

CALCULATE(

    COUNTROWS('Table'),

    FILTER(

        ALLSELECTED('Table'),

        'Table'[Date] <= MAX('Table'[Date]) && NOT(ISBLANK('Table'[Date]))

    )

)

In case you dont need delete blank data

Responsive Cummulative =

CALCULATE(

    COUNTROWS('Table'),

    FILTER(

        ALLSELECTED('Table'),

        'Table'[Date] <= MAX('Table'[Date])

    )

)

[Bostox]

Numero Camion	Codigo	Fecha Salida Planta
9729	2009256240	13-04-2023 13:30

Sorry didnt read those post, only looked for some others asking related questions

So i want to go from Count to Cummulative count as shown in the pic above, all of this for looking the producction levels on different years.

tried with sum but im not looking for profits so i changed to count by data entrace

sorry if this is not enought info

[Greg_Deckler]

@Bostox Sorry, what does your base data look like? Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882

Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490

The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.