Build/Learning standards Models

[AngelicaLastra]

Description & motivation

This PR is linked to edu_edfi_source PR #43 and creates models for learning standard data to be used downstream by student grade tables.

PR Merge Priority:

• Low
• Medium
• High

New files created:

• dim_learning_standards.sql : This table contains attributes and descriptors for unique Learning Standards.
• fct_student_learning_standard_grades.sql : This fact table contains student learning standard grades by grading period within the school year. There is one record per student, school, course section, grading period, and learning standard.
• fct_student_learning_standard_grades.yml and dim_learning_standards.yml : Description for models and columns created.

Tests and QC done:

• Executed a successful dbt run.
• Queried both Boston and Jeffco data warehouses to ensure data was accurately populated in the tables.
• Validated the granularity of the tables by querying each learning standard ID in the learning standard tables and cross-referencing it with a student, course section, school, grading period, and learning standard in the student learning standard grades table.
• Counted rows throughout to ensure there was no fan out of data, and queried distinct values to ensure data was represented properly.

Future ToDos & Questions:

(based on edu_edfi_source PR #43)

• There is a question about the grade range a student can earn through a learning standard (what is the max? the min?). We have not yet been able to come to a solution for this since this data doesn't seem to be coming through from the learning standard source (there is an ongoing conversation between Jordan, Rob, and me about this).
• Academic subject values can sometimes appear cryptic (ex: F1FC8A52-3B53-11E0-B042-495E9DFF4B22 ) however, in other instances, the naming convention is more conventional, such as "Science." We should consider if there's a way to transform them into more readable subject names or if they are helpful as is.
• Some learning_standard_id values have some helpful descriptions (ex: Math-Effort_rbcX200MATH00000010001111000) while some are less helpful (ex: c86bc12e-e6e3-467b-b8a8-bacc46c95b37) for now we don't do anything with this column but it is something to consider for the future.