November 2018
Intermediate to advanced
322 pages
7h 54m
English
Let's load the dataset and explore it to learn more about the data.
dsroot = os.path.join(os.path.expanduser('~'), 'datasets', 'kaggle-retailrocket')os.listdir(dsroot)
events = pd.read_csv(os.path.join(dsroot,'events.csv'))print('Event data\n',events.head())
The events data has the five columns of timestamp, visitorid, event, itemid, and transactionid, as shown here:
Event data timestamp visitorid event itemid transactionid 0 1433221332117 257597 view 355908 NaN 1 1433224214164 992329 view 248676 NaN 2 1433221999827 111016 view 318965 NaN 3 1433221955914 483717 view 253185 NaN 4 1433221337106 951259 view ...
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