<jupyter_start><jupyter_text><jupyter_code>import sklearn.datasets as ds
import sklearn as skl
import pandas as pd

diabetesDS = ds.load_diabetes(as_frame=True)
for i in diabetesDS:
    print(i)
print(diabetesDS.DESCR)
df = pd.DataFrame(diabetesDS.data, columns=diabetesDS.feature_names)
df['target'] = diabetesDS.target
df<jupyter_output><empty_output>
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '198201', 'license': 'MIT', 'n_tokens_mistral': 139, 'n_tokens_neox': 132, 'n_words': 26, 'path': 'DataManagementBootcamp/DataManagementBootcamp.ipynb', 'repo_name': 'Fuenfgeld/DataManagement', 'size': '353'}