Each item is a data science notebook cell execution traces example providing Notebook cells, Required libraries, Expected artifacts, Dataset fixture reference. Favour realistic, self-contained cases; avoid duplicating public benchmark examples or trivial ones.
Secured after final acceptance. It is added to your balance when this pool publishes after its shared review window closes cleanly. Rejected items do not qualify.
Platform-authored spec, open on delivery.
Measured pipeline stats for this dataset. A dash means the platform does not publish that measure for this pool.
Illustrative samples authored for the Notebook / Data Science Pipeline dataset type.
import pandas as pd
df = pd.DataFrame({'ad_spend': [10,20,30,40,50], 'revenue': [15,35,45,60,80]})
df.to_csv('sales.csv', index=False)Approved public samples for this Notebook / Data Science Pipeline dataset. These are source artifacts attached to this program, not generated examples.