Exporting Complex Data To CSV

May 12, 2007

I want to export data to CSV that is nested.

eg.Poll 1,val1,val2
Question1,Q1val1,Q1val2
AnswerQ1A1,Q1A1val1,Q1A1val2, TallyQ1A1
AnswerQ1A2,Q1A2val1,Q1A2val2, TallyQ1A2
Question2,Q2val1,Q2val2
AnswerQ2A1,Q2A1val1,Q2A1val2, TallyQ2A1
AnswerQ2A2,Q2A2val1,Q2A2val2, TallyQ2A2
AnswerQ2A3,Q2A3val1,Q2A3val2, TallyQ2A3
 

Best practices-wise, what should my data end up like?

Since it's nested surely it can't be simply a list of identically-formatted rows, one for each answer:

Poll1,val1,val2,Question1,Q1val1,Q1val2, AnswerQ1A1,Q1A1val1,Q1A1val2, TallyQ1A1,
Poll1,val1,val2,Question1,Q1val1,Q1val2, AnswerQ1A2,Q1A2val1,Q1A2val2, TallyQ1A2,
Poll1,val1,val2,Question2,Q2val1,Q2val2, AnswerQ2A1,Q2A1val1,Q2A1val2, TallyQ2A1,
Poll1,val1,val2,Question2,Q2val1,Q2val2, AnswerQ2A2,Q2A2val1,Q2A2val2, TallyQ2A2


Do I end up with three separate tables?

Poll1,val1,val2

Question1,Q1val1,Q1val2,
Question2,Q2val1,Q2val2

AnswerQ1A1,Q1A1val1,Q1A1val2, TallyQ1A1,
AnswerQ1A2,Q1A2val1,Q1A2val2, TallyQ1A2,
AnswerQ2A1,Q2A1val1,Q2A1val2, TallyQ2A1,
AnswerQ2A2,Q2A2val1,Q2A2val2, TallyQ2A2


If that's so, do I simply concatenate them in the final file? Or do I have three separate files? And do I label them uniquely such as Poll1Main, Poll1Questions and Poll1Answers so that I can export several polls side-by-side without overwriting each other?

 

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First. Based on the customer’s table I need to first select all options = to their community, as well as those available to communities everywhere (+).  In some cases the same option is maintained for both at both levels.  In that case the community specific option must be selected. 
 
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The result would look like this:


 

 

 

 

 

 

 

 

 


Option #

Option Name

CommID

Community Name

PlanID

Plan Name

ElevID

Elevation Name

Price


4567

Optional Window

0

+

0

+

0

+

250


1234

Optional Door

7

Hickory Hills

0

+

0

+

0


4567

Optional Brick

0

+

25

Allen

0

+

250


9101

Optinal Dormer

0

+

25

Allen

2

B

50


9125

Optinal Kitchen

0

+

0

Lori

0

+

2500


 

 

 

 

 

 

 

 

 


Second, from this dataset, I need to select all options equal to the plan ID, and those which apply to all plans (+).  So, the Lori Plan data goes away.
 
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Option #

Option Name

CommID

Community Name

PlanID

Plan Name

ElevID

Elevation Name

Price


4567

Optional Window

0

+

0

+

0

+

250


1234

Optional Door

7

Hickory Hills

0

+

0

+

0


4567

Optional Brick

0

+

25

Allen

0

+

250


9101

Optinal Dormer

0

+

25

Allen

2

B

50


 

 

 

 

 

 

 

 

 


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Option #

Option Name

CommID

Community Name

PlanID

Plan Name

ElevID

Elevation Name

Price


4567

Optional Window

0

+

0

+

0

+

250


1234

Optional Door

7

Hickory Hills

0

+

0

+

0


4567

Optional Brick

0

+

25

Allen

0

+

250
 
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