chore(data-track): flip weeks 11/12 — dashboarding becomes week 11 (Airflow-free)

data-track/week-11/README.md

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+# Week 11: Dashboarding with Metabase and Streamlit
+
+Practice exercises for [Week 11](https://www.notion.so/hackyourfuture/Data-track) of the Data Track.
+<!-- TODO: point this link at the renamed Week 11 Notion chapter once the chapter is moved. -->
+
+The Week 11 practice no longer lives here as loose exercise folders. Like the Week 10 dbt drills, it
+now lives as **branches in dedicated reference repos**, each starting from a complete, runnable
+project so you can actually run the app / test the SQL instead of grafting snippets into your own
+setup.
+
+Both tools read the **dbt mart you built in Week 10** (`fct_trips`) straight from Azure Postgres —
+no orchestration required. Clone a repo once, `git switch` to an exercise branch, follow its
+`EXERCISE.md`, then compare against the matching `-solution` branch.
+
+## Streamlit — [`nyc-taxi-streamlit-reference`](https://github.com/lassebenni/nyc-taxi-streamlit-reference)
+
+A runnable metrics app (KPI tiles, daily-trend chart, freshness panel) that queries `fct_trips`.
+
+| Exercise | Start branch | Solution branch |
+| --- | --- | --- |
+| KPI tiles from `fct_trips` | [`exercise-kpi-metrics`](https://github.com/lassebenni/nyc-taxi-streamlit-reference/tree/exercise-kpi-metrics) | [`exercise-kpi-metrics-solution`](https://github.com/lassebenni/nyc-taxi-streamlit-reference/tree/exercise-kpi-metrics-solution) |
+| Daily trip-volume chart | [`exercise-daily-trend`](https://github.com/lassebenni/nyc-taxi-streamlit-reference/tree/exercise-daily-trend) | [`exercise-daily-trend-solution`](https://github.com/lassebenni/nyc-taxi-streamlit-reference/tree/exercise-daily-trend-solution) |
+
+```bash
+git clone https://github.com/lassebenni/nyc-taxi-streamlit-reference.git
+cd nyc-taxi-streamlit-reference
+git switch exercise-kpi-metrics
+python -m venv .venv && source .venv/bin/activate
+pip install -r requirements.txt
+cp .env.example .env      # set your Week 9/10 PG_URL + PG_SCHEMA
+streamlit run app.py
+```
+
+## Metabase — [`nyc-taxi-metabase-reference`](https://github.com/lassebenni/nyc-taxi-metabase-reference)
+
+Each Metabase Question is driven by a SQL query. Those queries live as runnable `.sql` (your
+checkable source of truth); the dashboard assembly stays in the Metabase UI.
+
+| Exercise | Start branch | Solution branch |
+| --- | --- | --- |
+| Write a Metabase SQL Question | [`exercise-sql-question`](https://github.com/lassebenni/nyc-taxi-metabase-reference/tree/exercise-sql-question) | [`exercise-sql-question-solution`](https://github.com/lassebenni/nyc-taxi-metabase-reference/tree/exercise-sql-question-solution) |
+| Build a dashboard with a date filter | [`exercise-dashboard-filter`](https://github.com/lassebenni/nyc-taxi-metabase-reference/tree/exercise-dashboard-filter) | [`exercise-dashboard-filter-solution`](https://github.com/lassebenni/nyc-taxi-metabase-reference/tree/exercise-dashboard-filter-solution) |
+
+```bash
+git clone https://github.com/lassebenni/nyc-taxi-metabase-reference.git
+cd nyc-taxi-metabase-reference
+git switch exercise-sql-question      # then read EXERCISE.md and log in to Metabase
+```
+
+## Prerequisites
+
+- Your Week 10 `fct_trips` table populated in `dev_<name>` on the shared Azure Postgres.
+- For Streamlit: your Postgres connection string (`PG_URL`) and schema name (`PG_SCHEMA`).
+- For Metabase: logged in to HYF Metabase (URL in the Week 11 chapter).