2023: Week 24 - Solution



Solution by Tom Prowse and you can download the workflow here.


This is the second part to the challenge from Andreea Scintei from last week. We are taking it a further and doing some more analysis on the students.

Step 1 - Group Grades

We want to input the Results table and then we can transform the shape by using a pivot step to pivot the subjects from columns to rows:


Once we have the subjects in a single column, we can use the Tile function to make the groups based on subject and grade


The table should now look like this: 



We can then join the Tiles input table to our workflow so that we can then replace the group numbers with the associated label.

Join the tables with an inner join where Group = Number: 



We can then tidy the table so that it looks like this: 


Step 2 - Combine Student Info

We can now combine our final table, but first we need to ensure that our current workflow is in the correct shape. Although we pivoted our table previous, we can now pivot it back the other way by using a rows to columns pivot on the subject and Max Range: 


We can then prepare the Student Info table by ensuring that there are no leading or trailing spaces in the Class field by using the Trim Spaces function



Now we can join the tables with an inner join on Student ID: 


After the join the table should look like this: 



Step 3 - Lower Quartile Flag

Finally we want to create a flag that highlights any student that is in class 9A or 9B and is in the lower quartile for 2 or more subjects. We can calculate the flag with this calculation: 

Flag 
IF 
([Class] = '9A' OR [Class] = '9B')
AND
(
(CONTAINS([English],'25') AND CONTAINS([Economics],'25'))
OR
(CONTAINS([English],'25') AND CONTAINS([Psychology],'25'))
OR
(CONTAINS([Economics],'25') AND CONTAINS([Psychology],'25'))
)
THEN 'Yes' 
ELSE 'No' END

Then we can filter the results based on the Yes values so that the final table looks like this: 


After you finish the challenge make sure to fill in the participation tracker, then share your solution on Twitter using #PreppinData and tagging @Datajedininja@JennyMartinDS14 & @TomProwse1

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