Mohammed A

[mohammedalfakih-dev]

Summary

Completed the Week 9 NYC Taxi analytics assignment.

Changes

• Added validation queries for duplicates, nulls, fare ranges, and orphaned pickup zones.
• Created vw_fact_trips and vw_dim_zones.
• Added verification queries for volume, revenue, geospatial, and time patterns.
• Added data_dictionary.md, AI_ASSIST.md, and the borough-count screenshot.

[danlaudk]

this is dangerous doign group by two things when you only want one , even though you hope/expect the same thing. maybe you can still put both in the select, and if not there must be a cleaner alternative (even to use FIRST would be better)

[mohammedalfakih-dev]

Thanks for the feedback. I updated the query to group only by the weekday number and use a representative date to display the weekday name.

[github-actions]

📝 HackYourFuture auto grade

Assignment Score: 95 / 100 ✅

Status: ✅ Passed
Minimum score to pass: 60
🧪 The auto grade is experimental and still being improved

Test Details

=== Week 9 Autograder ===
  ✓ PASS  found validation_queries.sql
  ✓ PASS  found schema_setup.sql
  ✓ PASS  found data_dictionary.md
  ✓ PASS  found verification_results.sql
  ✓ PASS  found AI_ASSIST.md
  ✓ PASS  Level 1: required files (10/10 pts)
  ✓ PASS  validation_queries.sql: file filled (no stub TODOs)
  ✓ PASS  validation_queries.sql: HAVING COUNT pattern found (duplicate check)
  ✓ PASS  validation_queries.sql: IS NULL check found (null integrity)
  ✓ PASS  validation_queries.sql: range check found (MIN/MAX or negative-fare count)
  ✓ PASS  validation_queries.sql: LEFT JOIN … IS NULL / NOT EXISTS orphan check (Task 1.4)
  ✓ PASS  Level 2: Task 1 validation queries (20/20 pts)
  ✓ PASS  schema_setup.sql: file filled (no stub TODOs)
  ✓ PASS  schema_setup.sql: vw_dim_zones view defined
  ✓ PASS  schema_setup.sql: vw_fact_trips view defined
  ✓ PASS  schema_setup.sql: negative fare filter (fare_amount >= 0) present in vw_fact_trips
  ✓ PASS  schema_setup.sql: pickup_datetime::TIMESTAMP cast present in vw_fact_trips
  ✓ PASS  Level 3: Task 2 star schema views (30/30 pts)
  ✓ PASS  data_dictionary.md: file filled (no stub TODOs)
  ✓ PASS  data_dictionary.md: 'Grain' heading/label present
  ✓ PASS  data_dictionary.md: primary key documented
  ✓ PASS  data_dictionary.md: measures list includes at least one aggregatable column
  ✓ PASS  Level 4: Task 3 data dictionary (15/15 pts)
  ✓ PASS  verification_results.sql: file filled (no stub TODOs)
  ✓ PASS  verification_results.sql: borough-level query found (Task 4.1)
  ✓ PASS  verification_results.sql: fare_amount revenue query found (Task 4.2)
  ✓ PASS  verification_results.sql: time-pattern query found (DOW or HOUR extraction) (Task 4.4)
  ✓ PASS  Level 5: Task 4 verification queries (15/15 pts)
  ✗ FAIL  screenshot missing: /home/runner/work/c55-data-week-9/c55-data-week-9/assignment/assets/borough_count.png not found
  ✓ PASS  Level 6: borough screenshot (0/5 pts)
  ✓ PASS  AI_ASSIST.md: all 4 sections present and filled in (2950 chars)
  ✓ PASS  Level 7: Task 5 AI log (5/5 pts)

Score: 95 / 100  (passing: 60)  pass=true