<jupyter_start><jupyter_text>Proyecto Titanic<jupyter_code>import numpy as np
import pandas as pd<jupyter_output><empty_output><jupyter_text>Carga de archivo de datos para análisis exploratorio<jupyter_code>dataset = pd.read_csv("./data/train.csv")
dataset.head()
dataset.describe()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10897435897435898, 'fraction_numerical': 0.0, 'mean_word_length': 10.592592592592593, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '513423', 'license': 'MIT', 'n_tokens_mistral': 122, 'n_tokens_neox': 119, 'n_words': 19, 'path': 'main_notebook.ipynb', 'repo_name': 'garciagalejandro/titanic_kaggle', 'size': '312'}