This document discusses using Sweetviz for exploratory data analysis within the Incorta notebook. It provides code to analyze a single data set, compare two data sets, and display the Sweetviz HTML report within the notebook or in a separate browser tab. The code defines a function to load and format the Sweetviz report for display.

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2. The Direct Data Platform™
Exploratory Data
Analysis with Sweetviz
Dylan Wan
Senior Director, Data Science and Machine Learning

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Using Incorta Notebook
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Using Incorta Notebook - show_html extension
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def show_html(sweetviz_report):
sweetviz_report.page_layout = 'widescreen'
sweetviz_report.scale = 1.0
sv_html.load_layout_globals_from_config()
sv_html.set_summary_positions(sweetviz_report)
sv_html.generate_html_detail(sweetviz_report)
if sweetviz_report.associations_html_source:
sweetviz_report.associations_html_source = sv_html.generate_html_associations(sweetviz_report, "source")
if sweetviz_report.associations_html_compare:
sweetviz_report.associations_html_compare = sv_html.generate_html_associations(sweetviz_report, "compare")
_page_html = sv_html.generate_html_dataframe_page(sweetviz_report)
return _page_html
Copy this to your notebook:

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Using Incorta Notebook - Analyze a data set
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my_report = sv.analyze([pdf,'Train'], target_feat='SalePrice')
Pandas DataFrame Label Column Name

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Using Incorta Notebook - Compare two data sets
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my_report = sv.compare([input_pdf1,'Train'], target_feat='Survived', compare= [input_pdf2, 'Test'])

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Using Incorta Notebook - Zeppelin Display System
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print("%angular <h2>sweetviz Report</h2>" + show_html(my_report))
Incorta extension
Copy this to your notebook:
The report is shown
as the output of the
paragraph

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Using Incorta Notebook - Launch the Sweetviz HTML
report in a separate browser tab
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Demo
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