AI Insights
Browse published AI data analysis notebook examples with full conversational workflow. Each page includes prompts, generated Python code, and notebook outputs from a real AI Data Analyst run.
Antibiotic Resistance Genes Analysis in Python using CARD Database
Explore 6,445 antibiotic resistance genes from the CARD database using AI-assisted Python analysis. Discover which drug classes, resistance mechanisms, and gene families dominate the global resistome.
Written by Piotr Płoński · Published on April 15, 2026
Open insight →F1 Race Wins by Starting Grid Position: Historical Analysis in Python
Analyze Formula 1 race results in Python to measure win rates by starting grid position, compare eras, and identify top drivers who won from grid position 4 or worse.
Written by Piotr Płoński · Published on April 17, 2026
Open insight →Reading EMBL and .plot.gz Files in Python: A Minimal Bioinformatics Example
Learn how to load EMBL files and compressed .plot.gz signal tracks in Python. A simple AI-assisted example showing how to extract genes and visualize genomic signal data.
Written by Piotr Płoński · Published on April 16, 2026
Open insight →Customer Churn Drivers Analysis in Python on Telco Data
Analyze 7,043 telco customers in Python to identify the main churn drivers, segment high-risk groups, and estimate the business impact of a retention campaign.
Written by Piotr Płoński · Published on April 24, 2026
Open insight →What Happens After the Worst Days in the Market?
Analyze what happens after the largest daily drops in the S&P 500. This AI-assisted notebook explores mean reversion, return distributions, and how market behavior changes after extreme events.
Written by Piotr Płoński · Published on April 16, 2026
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