This is the Windows app named Sweetviz whose latest release can be downloaded as Sweetviz2.2.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Sweetviz
DESCRIPTION
Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application. The system is built around quickly visualizing target values and comparing datasets. Its 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) relates to other features. Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness.
Features
- Target analysis
- Visualize and compare
- Mixed-type associations
- Type inference
- Summary information
- Intra-set characteristics (e.g. male versus female)
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/sweetviz.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
