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wine_mc_example

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Aadiamaan92
Last edited Jan 27, 2019
Created on Jan 27, 2019

This example visualizes a filtered subset of wine data, highlighting wines with high alcohol content (above 14), intense color (color intensity over 7), and a hue greater than 1. The display focuses on three attributes—alcohol, color intensity, and hue—sorted in descending order of alcohol. Built with Python using pandas, the code renames the `color_intensity` column to `ci`, creates a binary `color_filter` column via `np.where`, applies queries to filter rows, and finally selects and sorts the relevant columns. The data originates from a gist by adiamaan92, and the visualization is rendered as a tabular or plotted output from the resulting DataFrame.

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Gist 740405b6405a6644fd16d3a50588de51

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