📚 Comic Archive

Catch up on your favorite data dramas!

Silent Failures

Cron job failed. No alerts. No logs. No clue.
Team Lead: “Everything seems stable!”
Meanwhile, systems melt in silence. 🔥

Manager: “So… you tweak numbers?”
Data Scientist: “No, we Google which numbers to tweak.”
ML or modern luck? You decide. 🎯

Three segments. Each labeled 33%.
Total? 110%. Accuracy is a suggestion, aesthetics the goal. 📊🍕

Dev: “It’s just a test.”
Script: *deletes prod tables*
Test complete. So is production. ⚠️🧨

File: final_v12_latest_REAL_final.py 🙃 The only true source of truth is chaos.

Dev changed the schema. Nobody told the data team. Chaos ensued. 🧨

Model accuracy: 100%. Real-world accuracy: oops. When overfitting strikes. 🎯

“We migrated everything!” – “Why are all totals in Cyrillic?” UTF-8 says hi. 🌀

“Can I test this in prod?” – said no senior analyst ever. 🧨

17 million users? That’s what happens when someone forgets the JOIN condition. 💥

Prompted GenAI for a data summary.
It wrote a Shakespearean sonnet. Still better than last quarter’s report. 🎭📊

Client: “Can we predict churn?”
Data Team: “Only if you give us behavior data.”
Client: “We’ve got names and numbers.” 🤷‍♂️

Stakeholder: “Can the model explain itself?”
Data Scientist: “It speaks… but only in SHAP.” 🤯📊

“We hardcoded the date.”
The three most terrifying words in analytics. 💀

“Write a SQL query.” – SELECT * FROM table; 🙃 Prompting matters.

Stakeholders want transparency... until you show them SHAP plots. 😵