feature/dim_student_surveys

[jordan-springer]

Description

Adding two models to represent student survey data in Hydrone:

1. dim_student_surveys - design model of surveys and their dimensions
2. dim_student_survey_responses - dimensional model which includes student responses and related demographics data

Outstanding Questions:

1. can we resolve questions using the contained levels? or do we need to capture all the levels for these values?

select  
	questions,
	count(*)
from analysis.user_surveys
group by 1 
order by 2 desc 
limit 5 ;

select contained_level_text, count(*)
from dashboard_production.contained_levels 
group by 1 order by 2 desc 
limit 5 ;

Links

Spec: Student Surveys
Jira ticket(s): 1075

Testing story

• Does your change include appropriate tests on key columns?
  eg.
  - not_null
  - unique
  - `dbt_utils.unique_combination_of_columns: , ["value","value","value"...]

Note: when submitting a new model for review please make sure the following have been tested:

1. The model compiles (dbt build -m 'your_model')
   or: has the dbt Cloud job succeeded?
2. The model runs (dbt run -m 'your_model')
3. The model produces accessible data in the DW (select 1 from 'your_model')

Privacy

• 1. Does this change involve the collection, use, or sharing of new Personal Data?
• 2. Do these data exist in the appropriate schema(s)?
• 3. Does this change involve a new or changed use or sharing of existing Personal Data?
• 4. Consider: will this data be visible on Tableau? will this data be surfaced in a report exported from Trevor?
• 5. If yes to any of the above, please list the models, columns, and justification below:
  i.
  ii.
  iii.

PR Checklist:

--> Note: if these are not all checked, the PR will be sent back.

• Tests provide adequate coverage
• Privacy and Security impacts have been assessed
• Code adheres to style guide👀 and is DRY
• Code is well-commented (**please do not leave extraneous commentary in model code, if it is for the purpose of documentation, please relocate accordingly)
• Appropriate documentation has been provided (see .yml., did dbt docs generate succeed?)
• New features are translatable or updates will not break up/downstream models
• Relevant documentation has been added or updated (i.e. dbt docs has been updated successfully on Github Pages
• Pull Request is labeled appropriately (eg. chore/, feature/, fix/)
• Follow-up work items (including potential tech debt) are tracked and linked (if applicable)