Faster data exploration in Jupyter through Lux
Domino Data Lab
DECEMBER 8, 2020
They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Saving visualizations in Lux. df = pd.read_csv("/mnt/data/wine_red.csv",sep=';') df.
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