<jupyter_start><jupyter_text>Análise Gráfica<jupyter_code>#Gráfico de Distribuição dos anos
plt.figure(figsize=(8,6))
sns.distplot(df['age'])
#Gráfico boxplot das idades de homens e mulheres
sns.boxplot(data = df, y = 'age', x = 'gender')
df.head()
plt.figure(figsize=(8,6))
sns.lmplot(data = df, x='weight', y='height', hue = 'gender', palette = 'inferno')
plt.title('Relação Peso X Altura')
plt.figure(figsize=(8,6))
sns.distplot(df['ap_hi'])
plt.figure(figsize=(8,6))
sns.distplot(df['ap_lo'])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1920152091254753, 'fraction_numerical': 0.015209125475285171, 'mean_word_length': 8.24561403508772, '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': '611745', 'license': 'MIT', 'n_tokens_mistral': 233, 'n_tokens_neox': 226, 'n_words': 40, 'path': 'Codigos/Cardiovascular Disease Dataset.ipynb', 'repo_name': 'andre-pjmariano/Projetos', 'size': '526'}