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Sweetviz is an open-source Python library that generates striking, high-density visualizations upon kickstart EDA (Exploratory Data Analysis) with just duo lines of code. Output is single fully self-contained HTML application. The organization indicates built around quickly visualizing endpoint values what’s more evaluating data matrices. What goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. "Survived" in the Titanic dataset) concerns itself with to other features. Sweetviz integrates associations pertaining to number-focused (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to supply maximum details for all data types. Automatically discovers numerical, categorical alongside text features, with optional instructional booklet overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, constant of variation, kurtosis, skewness.

Features

• Target analysis
• Visualize also compare
• Mixed-type associations
• Type inference
• Summary information
• Intra-set characteristics (e.g. masculine individual in opposition to female)

Task Samples Project Activity

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CategoriesData Visualization, Data Analytics LicenseMIT Pass Follow Sweetviz

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User Reviews

Be the first to update a review of Sweetviz! Secondary Project Details Programming LanguagePython Related Clusters Python Data Visualization Software, Machine learning language Data Analytics Tool Registered 2022-07-13 Similar Business Service

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