Week 11 Assignment: Build Two Dashboards

HackYourFuture Data Track, Week 11. The full brief (scenario, all three tiers, and submission steps) lives in the curriculum: Week 11 → Assignment in the HackYourFuture learning platform. Read it first; this repo only gets you started.

What you build

Two dashboards reading the same fct_trips / fct_daily_borough_stats marts from Week 10, on Azure PostgreSQL:

• A Metabase analytical dashboard: point-and-click Questions and a shared Dashboard.
• A Streamlit metrics app: a code-first page with KPI, trend, and freshness panels.

Both get documented in metric_definitions.md so nobody argues about what a number means.

What this repo gives you

This repo is a ready-to-run Streamlit project for the code-first dashboard, plus a destination for your Metabase deliverables:

.
├── README.md                       <- TODO: your Metabase dashboard link / screenshots go here
├── AI_ASSIST.md                     <- TODO: template, document one LLM session
├── metric_definitions.template.md   <- copy into week11-streamlit/ (see below)
├── week11-streamlit/                <- ready-to-run: project config wired up, KPI panel is a TODO stub
│   ├── app.py                       <- TODO: implement the headline KPIs panel
│   ├── pyproject.toml
│   ├── uv.lock
│   └── .env.example                 <- copy to .env, fill in your credentials
└── .hyf/                            <- autograder, do not edit

• Metabase: build it directly in the HYF-managed Metabase instance. There is nothing to scaffold here: put the dashboard link (or screenshots, if the public link is unavailable) in this README.md, under "My submission" below.
• Streamlit: week11-streamlit/ is already wired up (same run_query caching pattern taught in "Building a Metrics Dashboard", Week 11 Chapter 5) with page setup done and the headline-KPIs panel stubbed as raise NotImplementedError(...). Your job is the query and the three .metric() tiles, not the project scaffolding:

cd week11-streamlit
uv sync
cp .env.example .env   # fill in your credentials
uv run streamlit run app.py

Once your KPI panel runs, copy the template into place and fill it in:

cp metric_definitions.template.md week11-streamlit/metric_definitions.md

Fill in week11-streamlit/metric_definitions.md: a five-field definition (name, description, calculation, data source, refresh frequency) for every Metabase Question and every Streamlit panel you build.

My submission

TODO

Check your score locally

The autograder runs static checks (required files present, secrets hygiene, Streamlit code patterns, metric-definition coverage):

bash .hyf/test.sh
cat .hyf/score.json

Passing score: 60/100. This covers the Required tier only: it cannot verify your dashboards render real data (that needs a live Azure Postgres connection CI does not have), so a passing score is necessary but not sufficient. Your teacher reviews the actual dashboards and presentation for Required/Extra credit.

Submitting

Follow the Submission section of the assignment chapter: branch week11/your-name, commit, push, open a PR, and note in the PR description whether you also completed any Extra items plus your Metabase dashboard link.