GitHub / MadhukarSaiBabu / Interactive-Visualization-of-the-Wine-Dataset-Using-Bokeh-and-Principal-Component-Analysis
This project uses Bokeh to create interactive visualizations of the Wine dataset, revealing relationships among chemical features and cultivar clustering through scatter plots, PCA, and pairwise comparisons for intuitive, real-time data exploration.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MadhukarSaiBabu%2FInteractive-Visualization-of-the-Wine-Dataset-Using-Bokeh-and-Principal-Component-Analysis
PURL: pkg:github/MadhukarSaiBabu/Interactive-Visualization-of-the-Wine-Dataset-Using-Bokeh-and-Principal-Component-Analysis
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Size: 530 KB
Dependencies parsed at: Pending
Created at: 5 days ago
Updated at: 5 days ago
Pushed at: 5 days ago
Last synced at: 5 days ago
Topics: bokeh, dashboard-application, data-visualization, exploratory-data-analysis, feature-correlation-and-comparison, interactive-data-exploration, multivariate-data-visualization, principal-component-analysis