Chart specifications for ACF (Autocorrelation Function) plots.

Provides:
- Vega-Lite point charts for graphical viewers (:portal, :kindly)
- ASCII bar chart rendering for text viewers (:print, :pprint)

Both chart types show autocorrelation coefficients for all lags,
with severity-based coloring and threshold visualization.

Comparison chart functions for Vega-Lite charts.

Provides single-point bar/box charts and multi-point line charts for
comparing implementations across benchmarks. Used by both domain extracts
and comparison data structures.

Distribution overlay functions for Vega-Lite charts.

Provides KDE, PDF, and CDF visualization layers and complete chart specs
for displaying distribution fits and comparing empirical vs theoretical
distributions.

ASCII chart rendering for distribution analysis visualization.

Provides ASCII chart functions for:
- PDF (probability density function) line charts
- CDF (cumulative distribution function) step charts
- Q-Q (quantile-quantile) scatter plots

These functions are used by :print and :pprint viewers for terminal-based
visualization of distribution fit results.

Profile visualization for call trees, treemaps, and most-called methods.

Provides Vega and Vega-Lite specs for: - Allocation treemaps showing memory
usage by type - Call tree visualizations (hierarchical tree and flame chart) -
Most-called method bar charts

Q-Q plot visualization functions for Vega-Lite charts.

Provides Q-Q (quantile-quantile) plot generation for comparing sample
distributions against fitted theoretical distributions. Q-Q plots show
sample quantiles vs theoretical quantiles - points lying on the y=x
diagonal indicate good fit.

Regression chart functions for Vega-Lite visualizations.

Provides scatter plots with fit lines, residual plots, and log-log regression
charts for complexity analysis. Supports both single-implementation and
multi-implementation comparison modes.

Sample visualization functions for Vega-Lite charts.

Provides scatter plots, histograms, event markers, and sample difference
visualizations for criterium benchmark data.

Tail analysis visualization functions for Vega-Lite charts.

Provides chart generation for extreme value analysis including:
- Tail ratios table showing percentile ratios
- Hill plot showing tail index estimates across k values
- Mean residual life plot for threshold selection
- Zipf plot (complementary CDF on log-log scale)
- Q-Q plots comparing exceedances to exponential and GPD distributions

ASCII chart rendering for tail analysis visualization.

Provides ASCII chart functions for:
- Tail ratios bar chart
- Hill plot (tail index estimates vs k)
- MRL plot (mean residual life vs threshold)
- Zipf plot (complementary CDF on log-log scale)
- Exponential Q-Q plot
- GPD Q-Q plot

These functions are used by :print and :pprint viewers for terminal-based
visualization of tail analysis results.

Shared helpers for common-charts sub-namespaces.

Provides utility functions used across multiple chart generation namespaces
to avoid circular dependencies.

Allocation view helpers for formatting and rendering allocation data.

Provides functions for formatting call sites and object types, as well as
ASCII treemap rendering for allocation visualization.

ASCII chart rendering for terminal-based visualization.

Provides LTTB (Largest Triangle Three Buckets) downsampling and
ASCII line/scatter plot rendering for use in :print and :pprint viewers.

Main entry points:
- `lttb-downsample` - reduce points while preserving visual shape
- `render-chart` - render points as ASCII chart, returns vector of strings

Autocorrelation view helpers.

Provides functions for formatting autocorrelation data and iterating over
metrics for display. Used by print and pprint viewers.

Bootstrap statistics view helpers.

Provides functions for formatting bootstrap estimates and building
bootstrap statistics table rows.

Core utility functions for viewer data preparation.

This namespace provides foundational functions used across multiple viewer
namespaces for formatting metrics, computing SI scaling, and preparing
basic statistical data for display.

Common distribution formatting utilities for viewer implementations.

This namespace provides shared functions used by all viewers
for formatting distribution fit results in tables and text output.

Domain comparison data preparation functions.

Provides functions to prepare domain-comparison data for various chart types
including box plots, bar charts, and line charts, as well as table rendering.

Domain shape detection predicates for visualization strategy selection.

Provides functions to analyze the structure of domain extract and
comparison data to determine the appropriate visualization
strategy (box plot, line chart, or table).

Domain extract table preparation functions.

Provides functions to prepare domain-extract data for table rendering,
including transposed tables for single-point multi-impl scenarios and
grouped data tables.

Modal analysis view helpers.

Provides functions for formatting mode locations and iterating over
multimodal metrics for display.

Domain regression data preparation functions.

Provides functions to prepare regression model data for table and chart
rendering, including model fit data, log-log analysis, and an orchestration
function for rendering regression views.

Shape statistics view helpers.

Provides functions for formatting and classifying shape statistics
(skewness, kurtosis, CV) from bootstrap results.

Common tail analysis context extraction for portal and kindly viewers.

Provides shared data extraction that both graphical viewers need for
tail analysis views including samples access for charts.