Name Analysis (#9)

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* feat: implement representative sampling by province (~500k records), extract surnames from the first token of name, build letter transition matrices (frequency and probability), add heatmap visualization for transitions, and integrate a Markov chain–based name generator.

* Implemented letter frequency analysis with histograms, computed bigram and trigram frequencies, and displayed the top results in tabular format. Rebuilt the transition probability matrix, and developed a name generator capable of producing realistic outputs based on surname data.

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Amaury Cansa

2025-09-24 20:23:40 +02:00

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commit 4874b178c9

2 changed files with 2229 additions and 219 deletions

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notebooks/eda.ipynb

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notebooks/provinces_stats.ipynb

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