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Originally shared on Hacker News

Practical Data

An open-source Chrome extension that highlights and shades data tables on the web. Because a simple rule like 'big numbers = green, small numbers = red' breaks down when the data is inverted or ambiguous, it uses Jev and other small decision models to judge the cardinality and ordinality of each column's data before applying color shading.

Last shared
01 / The problem

What it addresses

Determining which direction is 'good' in a table's data is not trivial: many datasets invert the intuition (e.g. earthquake casualties, batter strikeouts) or are ambiguous (e.g. a 'cost' column header), so naive shading rules fail.

02 / Source history

Shared over time

Each entry reflects what was shared on that date. Details may have changed since then.

  1. Practical Data

    An open-source Chrome extension that highlights and shades data tables on the web. Because a simple rule like 'big numbers = green, small numbers = red' breaks down when the data is inverted or ambiguous, it uses Jev and other small decision models to judge the cardinality and ordinality of each column's data before applying color shading.

    Problem: Determining which direction is 'good' in a table's data is not trivial: many datasets invert the intuition (e.g. earthquake casualties, batter strikeouts) or are ambiguous (e.g. a 'cost' column header), so naive shading rules fail.

    Posted by @philrenaud · Original comment ↗

    “I've been building a Chrome extension[0] that highlights and shades data tables on the web. It's a fun little problem because you'd think there's an easy rule to apply, like "big numbers = green, small numbers = red, scale accordingly" but 1. a ton of data is just the opposite (like Earthquake casualties, or Batter strikeouts) or even ambiguous (like "cost" as a column header) So I've been using Jev (and other small decision models) to make decisions about cardinality and ordinality of the data before I shade it.”