[count-basic] count-basic: Count Plot

[MarkusNeusinger]

Plot Request

Bar chart showing count of observations per category.

Use Cases

• Frequency analysis
• Survey responses
• Category distribution

Expected Features

• Automatic counting
• Sorted or original order
• Optional percentage labels

[claude]

✅ Spec ID: count-basic

Rationale: This is a distinct plot type from bar-basic (which requires pre-computed values) and histogram-basic (which bins continuous data). A count plot automatically counts categorical occurrences from raw data.

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: count-basic

PR: #2042

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specification.md

count-basic: Basic Count Plot

Description

A count plot displays the frequency of observations in each category of a categorical variable using vertical bars. Unlike a basic bar chart that requires pre-computed values, a count plot automatically counts occurrences from raw data. This makes it ideal for quick exploratory analysis of categorical distributions without manual aggregation.

Applications

• Analyzing survey response distributions across multiple choice answers
• Visualizing the frequency of product categories in sales data
• Exploring class distributions in machine learning datasets before training

Data

• category (categorical) - The categorical variable whose values will be counted
• Size: 3-20 unique categories recommended for readability
• Example: Survey responses (A/B/C/D), product types, customer segments, or any discrete categorical data

Notes

• Bars should be sorted by frequency (descending) or kept in original/alphabetical order based on context
• Consider adding count labels on or above bars for precise reading
• Optional percentage annotations can show relative proportions
• Use consistent bar width and adequate spacing between categories

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Next: Add approved label to merge this specification to main.

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