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# Chapter 6: Cleaning Traffic Metrics and Building Flask Dashboards

**[Medium](https://daily.dev/sources/medium_js)** · 2 min read · 0 upvotes · 0 comments

## Summary

A walkthrough of building a traffic analytics pipeline using an AI coding agent (Antigravity CLI). The process covers cleaning raw visitor CSV logs with Python, deduplicating entries and adding channel classification, uploading the cleaned data to Google Cloud BigQuery for querying, and scaffolding a branded Flask dashboard to visualize referrer breakdowns and visitor counts.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@manojagulahe/chapter-6-cleaning-traffic-metrics-and-building-flask-dashboards-a0a4f2b06ab8>

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---

Tags: [#python](https://daily.dev/tags/python), [#data-engineering](https://daily.dev/tags/data-engineering), [#data-visualization](https://daily.dev/tags/data-visualization), [#flask](https://daily.dev/tags/flask), [#google-bigquery](https://daily.dev/tags/google-bigquery)

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