Find count of consecutive data

deep_215

Hi,

I need to find the occurrence of a value. Here i need to count the absent days for each employee. The counter rests if there is any present in between. For example, for 101 employee, counter starts once he is absent, but it is reset to 0 if he is present. and counter again start for absent days.

Thanks in advance. Below is the sample dataset. Here COUNT is desired output column.

EMP_ID	ATTENDANCE	COUNT
101	Present	0
101	Absent	1
101	Absent	2
101	Absent	3
101	Present	0
101	Absent	1
101	Absent	2
102	Present	0
102	Present	0
102	Absent	1
102	Absent	2
102	Present	0

Turribeach

On what technology is the dataset stored? You would normaly use a Window Recipe for this kind of aggregate calculation but I don't see a way to reset the count when the same employee is present/absent multiple times. So assuming you are in SQL you can use analytical functions to calculate your table as shown in this SO post.

LouisDHulst

I think its possible actually! I implemented the solution in this SO post using two window recipes.

You need to have a column to sort the Absent/Present days however. @deep_215
I assume you have a column with the day the employee is Absent/Present?

• The first Window recipe implements the CTE. The window settings and custom aggregation code are:
  

• The second Window recipe is just a ROW_NUMBER - 1 so that the count starts at 1 and not 2:
  
  
  
  
  
  
  
  
  
  
  These are the results I get:
  

Turribeach

This is a good try but I don't think it's correct. I couldn't use custom aggregations on my tests since I didn't have SQL on my environment, now I do. I think the logic doesn't work when first employee record is an absense:

Turribeach

So I got it working in all cases but I needed 3 recipes. The first window recipe is the same as yours. The second window recipe I partitioned it as follows:

Finally in a prepare recipe I fix the count for Present with a formula:

Final results:

Turribeach

But I would personally use a SQL recipe since it will be done in a single step much faster.