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data

An analytics pipeline and dashboard

Build a pipeline that ingests messy sales data, cleans it, and answers real questions in a dashboard.

intermediatePython~22h

Why it matters

Data roles screen hard on whether you handle dirty input honestly. Documenting what you dropped and why is the part that separates an analysis someone can trust from a pretty chart.

What you build

  • Ingestion that survives malformed rows
  • Cleaning with every decision documented
  • Aggregate queries answering stated questions
  • A dashboard that makes the answers obvious

If you want more

  • Scheduled refresh
  • Anomaly detection on the series

Build it 5 steps

  • Missing values, duplicates and the wrong dtypes. This is most of the job.

Material for the whole build

Shows the full analytics path — ingestion, honest cleaning, aggregation, and presentation — with the assumptions written down.

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