I am making a dashboard with data that looks like the following
ID, Name, Relationship, C1, C1, C2, C2, C3, C3, C4, C4, C1, C1, C2, C2, C3, C3, C4, C4, C1, C1, C2, C2, C3, C3, C4, C4
1 JJ Crew 1 2 5 5 6 6 5 3
2 JJ Crew 3 3 2 6 2 2 3 4
3 JJ Self 2 2 3 4 5 6 1 1
4 JJ Super 4 4 5 6 5 6 6 2
5 JJ Super 5 2 1 2 3 4 5 2
6 KK Super 3 2 3 6 1 2 5 4
7 KK Self 3 4 2 1 5 3 2 4
8 KK Crew 2 3 4 1 3 5 3 2
What I am looking to do is display the average score of the selected Name for each "C" category so for example when I click "JJ" selected QV should display the average of all of JJs C1, C2, C3, C4 scores - So it would be like a bar graph that has a bar for the average total C1 score, another bar for the average total C2 score ect.
Is this possible and can someone please help.
I'm trying to understand the data, so a quick question.
Why is it that the ID, Name, Relationship fields have the C1, C2 etc fields in them.... that doesn't make sense to me?
OK now i see. The last row was carried over.
Well, the main problem I see is that you have a lot of the C1, C2 fields that are duplicates. Are these all the same four fields? If so, it would be best if they were combined into just the 4 fields. Then all you would need to do is load the table and it would work correctly.
Thank you for your response, yes the last row carried over.
The C1, C2, C3, C4 are all survey questions that are worded differently to tailor to the audience. That is why when the relationship is supervisor there is a certain set of questions they answer, the crew answer another, and the self answer another that is why they are seperated like that.
The numbers are not duplicates, each row is a response from a different individual evaluating JJ or KK. C1 are character questions, C2 communication, C3 competence and C4 connection and even though there are two C1, C2, C3, C4 all the questions are different but I want to get the average for each C
Hope You can Help
That is how I want it to look, but is there a way to do it without creating a crosstable?
Also keep in mind that in this example the column names appear the same but in reality the columns are different more like C1.1, C1.2, C2.1, C2,2, C3.1, C3.2, C4.1, C4.2, C1.3, C1.4, C2.3, C2.4, C3.3, C3.4, C4.3, C4.4, C1.5, C1.6, C2.5 ect. and i want to find the average off all C1, C2, C3, C4
Yes, if you just combine the C1, C2, C3, C4 fields, and carry over their corresponding fields for ID, Name, Relationship, then you will get a data model that you can create the tables and charts like Digvijay Singh posted above.
Maybe you could add a new field, or title. Have them labeled as both C1.1 and C1. The C1 field would be the main group, and the C1.1 would be the secondary definition of the group. That way you could select either or both.
Now it looks easier as we can have diff field names, now we can do it without cross table , check below -
model and draft design is ready but you need to check/verify/correct if avg func is applied as needed or not, need to verify the calculation.
Script is like below -
Load ID, Name, Relationship,
RangeAvg(C1.1,C1.2,C1.3,C1.4,C1.5,C1.6) as C1Avg,
RangeAvg(C2.1,C2.2,C2.3,C2.4,C2.5,C2.6) as C2Avg,
RangeAvg(C3.1,C3.2,C3.3,C3.4,C3.5,C3.6) as C3Avg,
RangeAvg(C4.1,C4.2,C4.3,C4.4,C4.5,C4.6) as C4Avg;
Load * Inline [
ID, Name, Relationship, C1.1, C1.2, C2.1, C2.2, C3.1, C3.2, C4.1, C4.2, C1.3, C1.4, C2.3, C2.4, C3.3, C3.4, C4.3, C4.4, C1.5, C1.6, C2.5, C2.6, C3.5, C3.6, C4.5, C4.6
1, JJ, Crew, 1, 2, 5, 5, 6, 6, 5, 3,
2, JJ, Crew, 3, 3, 2, 6, 2, 2, 3, 4,
3, JJ, Self,,,,,,,,, 2, 2, 3, 4, 5, 6, 1, 1,
4, JJ, Super,,,,,,,,,,,,,,,,, 4, 4, 5, 6, 5 , 6, 6, 2
5, JJ, Super,,,,,,,,,,,,,,,,, 5, 2, 1, 2, 3, 4, 5, 2
6, KK, Super,,,,,,,,,,,,,,,,, 3, 2, 3, 6, 1, 2, 5, 4
7, KK, Self, ,,,,,,,, 3, 4, 2, 1, 5, 3, 2, 4
8, KK, Crew, 2, 3, 4, 1, 3, 5, 3, 2