Baraah A.

[thebaraah]

Metabase Dashboard

The link is in Readme.md file
The screenshot proof is metabase_dashboard_baraah.png

Streamlit Dashboard

The screenshot proof is Streamlit_dashboard_baraah.png

Presentation Recording
Recording: the URL is in the Readme.md file
What I built

1. A Metabase dashboard with three SQL-based questions :
   • Trip Count by Payment Type
   • Average Fare per Mile by Dropoff Borough
   • Average Trip Duration by Hour of Day
2. A Streamlit metrics dashboard connected to my dbt mart (fct_trips) that includes:
   • Headline KPIs (Total Trips, Average Trip Distance, Average Fare per Mile)
   • Trips by Hour of Day line chart
   • Data Freshness panel (row count and latest pickup datetime)
   • Sidebar filter for payment_type_label
3. Metric documentation for both dashboards.

Notes
The application connects to my Week 10 dbt mart (fct_trips) in PostgreSQL. Database credentials are stored in environment variables and are not committed to the repository.

cd week11-streamlit
uv sync
cp .env.example .env      # set your own POSTGRES_URL (with ?sslmode=require) + DB_SCHEMA
uv run streamlit run app.py

Prerequisite: your own fct_trips mart populated in your dev_<name> schema (from Week 10).

Data dependency: these run steps need your own Week 10 mart. A reviewer who does not have that data cannot rebuild your numbers, so the committed screenshots / PDF export are the canonical evidence of a working submission.

What reviewers should see (expected results)

Fill in the numbers your dashboard and app actually show, so a reviewer can tell at a glance whether the result looks correct:

• Total trips (fct_trips row count): <e.g. ~57k>
• Busiest hour of day: <e.g. 18:00>
• Top payment type by share: <e.g. credit card, ~70%>
• Data freshness (latest trip date shown): <e.g. 2023-01-31>

Known limitations / out of scope

• <e.g. auto-refresh not implemented; dashboard covers January 2023 only; one Metabase filter still hardcoded>
• Write "none" if everything in the assignment is done and working.

Extra completed

• Metabase date filter on >=2 Questions
• Streamlit auto-refresh

Self-check

• bash .hyf/test.sh passes
• No credentials committed (no password in app.py, .env is gitignored)
• Screenshots of the Metabase dashboard and the running Streamlit app are committed

[jrnhofman]

Nice write-up in the PR description!

[jrnhofman]

as you can see the PR body check fails, you wrote a good PR description but please follow the outline required so the check passes!

[jrnhofman]

I think something went wrong with your last graph, both axis have the same label and there is a linear line (probably plotting pickup hour vs pickup hour)

[github-actions]

📝 HackYourFuture auto grade

Assignment Score: 100 / 100 ✅

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

Test Details

=== Week 11 Autograder ===
  ✓ PASS  found README.md
  ✓ PASS  found AI_ASSIST.md
  ✓ PASS  found week11-streamlit/app.py
  ✓ PASS  found week11-streamlit/pyproject.toml
  ✓ PASS  found week11-streamlit/uv.lock
  ✓ PASS  found week11-streamlit/metric_definitions.md
  ✓ PASS  Level 1: required files (20/20 pts)
  ✓ PASS  root .gitignore excludes .env
  ✓ PASS  week11-streamlit/.env not committed
  ✓ PASS  app.py: no hardcoded Postgres credentials found
  ✓ PASS  Level 2: secrets hygiene (15/15 pts)
  ✓ PASS  app.py: imports sqlalchemy
  ✓ PASS  app.py: reads credentials from the environment
  ✓ PASS  app.py: uses .metric() (st.metric or a st.columns() cell)
  ✓ PASS  app.py: queries fct_trips
  ✓ PASS  app.py: uses @st.cache_data
  ✓ PASS  Level 3: Streamlit app content (25/25 pts)
  ✓ PASS  metric_definitions.md: all five fields present
  ✓ PASS  metric_definitions.md: 6 panels documented (>=4 expected: 3 Metabase + 1 Streamlit)
  ✓ PASS  Level 4: metric definitions (20/20 pts)
  ✓ PASS  README.md: dashboard link present under 'My submission'
  ✓ PASS  Level 5: Metabase dashboard documented (10/10 pts)
  ✓ PASS  AI_ASSIST.md: filled (1997 chars, no leftover TODO lines)
  ✓ PASS  Level 6: AI assistance log (10/10 pts)

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