<jupyter_start><jupyter_text>Iris DatasetExplorando vizualizações do conjunto de dados da iris. Importando bibliotecas<jupyter_code>import pandas as pd
import seaborn as sns

from sklearn.datasets import load_iris

iris_dataset = load_iris()

irisDF = pd.DataFrame(data=iris_dataset.data, columns=iris_dataset.feature_names)
irisDF
irisDF.describe()
irisDF.boxplot()
irisDF['target'] = iris_dataset.target
irisDF.groupby('target').describe().transpose()
irisDF.query('target == 0').boxplot()
irisDF.query('target == 1').boxplot()
irisDF.query('target == 2').boxplot()
sns.pairplot(
    data=irisDF,
    hue='target'
)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13137557959814528, 'fraction_numerical': 0.00463678516228748, 'mean_word_length': 7.3076923076923075, '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': '132430', 'license': 'MIT', 'n_tokens_mistral': 253, 'n_tokens_neox': 242, 'n_words': 43, 'path': 'ML/f00-sklearn_explore/00-datasets/00-iris.ipynb', 'repo_name': 'newtmagalhaes/Machine-Learning', 'size': '647'}