You can use your favourite Jupyter Notebooks on Sprinkle. Through the navigation panel
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click on Notebooks.
The Jupyter Notebook
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is an open-source web application that allows you to create and share documents that contain live code, narrative text, equations, and visualizations
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Use notebooks for data cleaning, transformations, numerical simulation, statistical modelling, data visualization & machine learning.
Feature Walkthrough
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Import data from sprinkleβs explore and segment reports to the notebook
Sprinkle created a library named βsprinkleSdkβ to import data from the reports. The below script imports the library and imports data into the data frame.
Import sprinkle SDK
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from sprinkleSdk import SprinkleSdk as sp
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Read Segment
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df = sp.read_segment('<segment_id>')
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Read Explore
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df = sp.read_explore('<explore_id>')
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Once data is imported, you can run all kinds of analyses like descriptive, predictive, prescriptive, diagnostic analysis using these data.
Create a table and update an existing table in Sprinkle post-analysis?
Create a table or update existing table in the warehouse using a data frame