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Hello everyone,
first thing first, sorry for my English.
I have an SQL table (direct query) with manufacturing batches, states (pre-production administrations, production, packing, etc.), time stamps (since, to) , planed terms (how long the batch can be in the state - for example every batch has 3 workdays to done packing) and others. SQL table autoaticly refreshes once a day.
I need to visualise all batches in delay, in timeline (day by day). I did this before when delays were exported every day, but you can imagine the size of data, which were multiplying every day.
This is how the visualisation should look like:
In report, there must be possibility to switch between SUM of days in delay and SUM of batches in delay.
Columns in SQL table:
In the SQL table, there are batches with states without delays as well.
Could you please help me, how to make this happen?
a) day of interest (day on timeline - X axis)
b) delays of each batch in this day
Thank you very much.
Hi @Fishtron,
Here I made a sample as below. You can refer to the following steps.
1. Enter the sample data and create the calculated columns as below.
state = IF(DATEDIFF(Table1[state since],Table1[state to],DAY)>Table1[plan],"delay","on time")
delay days = IF(Table1[state]="delay",DATEDIFF(Table1[state since],Table1[state to],DAY)-Table1[plan],BLANK())
2. Create the measure as below.
count = CALCULATE(COUNT(Table1[batch]),FILTER(Table1,Table1[state]="delay"))
sumdays = CALCULATE(SUM(Table1[delay days]))
Then we can get the result as below.
For more details, please check the pbix as attached. If it doesn't meet your requirement, kindly share your pbix to me.
https://www.dropbox.com/s/fqedpla3mwffdkp/Floating%20date.pbix?dl=0
Regards,
Frank
Thank you very much for your respond Frank,
unfortunately I didn't explained my problem clearly.
I need to see amount of delays (count of days and count of delayed batches) in two separeted graphs day by day (days are X axis).
I hope images below will explain that.
This is how my SQL direct query looks like:
There are about 30 states but not all of them are interesting for this report so I will filter them.
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