<jupyter_start><jupyter_text>codo para dataframe valores<jupyter_code>import time
import pandas as pd
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt



%matplotlib inline
pd.set_option('display.max_columns', 250)
pd.set_option('display.max_rows', 200)
pd.options.display.float_format = '{:20,.1f}'.format
ruta = "./../data/"
ssd = pd.read_csv(ruta + "ssdValores.csv")
ssd.sample(5)
sns.lineplot(ssd)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13043478260869565, 'fraction_numerical': 0.021739130434782608, 'mean_word_length': 6.203125, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '638230', 'license': 'MIT', 'n_tokens_mistral': 187, 'n_tokens_neox': 176, 'n_words': 38, 'path': 'analysis/elbow.ipynb', 'repo_name': 'Jofemago/K-MEANS', 'size': '460'}