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154 changes: 154 additions & 0 deletions plots/ohlc-bar/implementations/r/ggplot2.R
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#' anyplot.ai
#' ohlc-bar: OHLC Bar Chart
#' Library: ggplot2 3.5.1 | R 4.4.1
#' Quality: 87/100 | Created: 2026-05-17

library(ggplot2)
library(dplyr)
library(ragg)

set.seed(42)

# --- Theme tokens -----------------------------------------------------------
THEME <- Sys.getenv("ANYPLOT_THEME", "light")
PAGE_BG <- if (THEME == "light") "#FAF8F1" else "#1A1A17"
INK <- if (THEME == "light") "#1A1A17" else "#F0EFE8"
INK_SOFT <- if (THEME == "light") "#4A4A44" else "#B8B7B0"
BORDER_COL <- if (THEME == "light") "#D0CEC4" else "#3F3D37"
GRID_COL <- if (THEME == "light") "#E8E6DC" else "#2A2824"
OKABE_ITO <- c("#009E73", "#D55E00", "#0072B2", "#CC79A7",
"#E69F00", "#56B4E9", "#F0E442")

# --- Data: Realistic stock prices over 50 trading days ----------------------
dates <- seq(as.Date("2024-01-01"), by = "1 day", length.out = 50)
# Filter to trading days (Mon-Fri)
trading_dates <- dates[weekdays(dates) %in% c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday")]
trading_dates <- trading_dates[1:45]

# Generate realistic OHLC data with trend
n <- length(trading_dates)
returns <- rnorm(n, mean = 0.001, sd = 0.015)
close_prices <- 150 * cumprod(1 + returns)

ohlc_data <- data.frame(
date = trading_dates,
open = close_prices + rnorm(n, mean = -0.5, sd = 0.8),
close = close_prices,
high = pmax(close_prices, close_prices + abs(rnorm(n, mean = 1.5, sd = 0.6))),
low = pmin(close_prices, close_prices - abs(rnorm(n, mean = 1.5, sd = 0.6)))
) %>%
mutate(
direction = ifelse(close > open, "up", "down"),
color_val = if_else(direction == "up", OKABE_ITO[1], OKABE_ITO[2]),
x_pos = as.numeric(date),
volatility = (high - low) / low,
opacity_val = 0.6 + 0.4 * min(volatility / max(volatility), 1.0)
)

# --- Build plot segments for high-low and open-close ticks ------------------
# Main high-low vertical lines
hl_segments <- ohlc_data %>%
mutate(
y_min = low,
y_max = high
) %>%
select(x_pos, y_min, y_max, direction, color_val, opacity_val)

# Open tick marks (left side, small horizontal)
open_segments <- ohlc_data %>%
mutate(
x_start = x_pos - 1.5,
x_end = x_pos,
y = open
) %>%
select(x_start, x_end, y, direction, color_val, opacity_val)

# Close tick marks (right side, small horizontal)
close_segments <- ohlc_data %>%
mutate(
x_start = x_pos,
x_end = x_pos + 1.5,
y = close
) %>%
select(x_start, x_end, y, direction, color_val, opacity_val)

# Compute moving average for trend visualization
ma_period <- 7
ma_close <- rep(NA, nrow(ohlc_data))
for (i in ma_period:nrow(ohlc_data)) {
ma_close[i] <- mean(ohlc_data$close[(i - ma_period + 1):i])
}
ohlc_data$ma_close <- ma_close

# --- Create the plot --------------------------------------------------------
p <- ggplot() +
# Subtle trend line (moving average)
geom_line(
data = ohlc_data,
aes(x = x_pos, y = ma_close),
color = INK_SOFT,
linewidth = 0.6,
linetype = "dotted",
alpha = 0.5
) +
# High-low vertical lines with opacity variation for volatility
geom_segment(
data = hl_segments,
aes(x = x_pos, xend = x_pos, y = y_min, yend = y_max, color = direction, alpha = opacity_val),
linewidth = 1.3,
show.legend = FALSE
) +
# Open tick marks (left)
geom_segment(
data = open_segments,
aes(x = x_start, xend = x_end, y = y, yend = y, color = direction, alpha = opacity_val),
linewidth = 1.1,
show.legend = FALSE
) +
# Close tick marks (right)
geom_segment(
data = close_segments,
aes(x = x_start, xend = x_end, y = y, yend = y, color = direction, alpha = opacity_val),
linewidth = 1.1,
show.legend = FALSE
) +
scale_color_manual(
values = c("up" = OKABE_ITO[1], "down" = OKABE_ITO[2])
) +
scale_alpha_identity() +
scale_x_continuous(
breaks = seq(1, nrow(ohlc_data), by = 5),
labels = format(ohlc_data$date[seq(1, nrow(ohlc_data), by = 5)], "%b %d"),
expand = c(0.02, 0)
) +
labs(
title = "ohlc-bar · ggplot2 · anyplot.ai",
x = "Date",
y = "Price ($)"
) +
theme_minimal(base_size = 14) +
theme(
plot.background = element_rect(fill = PAGE_BG, color = PAGE_BG),
panel.background = element_rect(fill = PAGE_BG, color = NA),
panel.border = element_rect(fill = NA, color = BORDER_COL, linewidth = 0.5),
panel.grid.major.y = element_line(color = GRID_COL, linewidth = 0.2),
panel.grid.major.x = element_blank(),
panel.grid.minor = element_blank(),
axis.ticks = element_line(color = BORDER_COL, linewidth = 0.3),
axis.ticks.length = unit(4, "pt"),
axis.title = element_text(color = INK, size = 20, face = "bold"),
axis.text = element_text(color = INK_SOFT, size = 16),
axis.text.x = element_text(angle = 45, hjust = 1),
plot.title = element_text(color = INK, size = 24, face = "bold", margin = margin(b = 12))
)

# --- Save -------------------------------------------------------------------
ggsave(
filename = sprintf("plot-%s.png", THEME),
plot = p,
device = ragg::agg_png,
width = 16,
height = 9,
units = "in",
dpi = 300
)
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241 changes: 241 additions & 0 deletions plots/ohlc-bar/metadata/r/ggplot2.yaml
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library: ggplot2
language: r
specification_id: ohlc-bar
created: '2026-05-17T10:52:39Z'
updated: '2026-05-17T11:01:11Z'
generated_by: claude-haiku
workflow_run: 25988764395
issue: 3293
language_version: 4.4.1
library_version: 3.5.1
preview_url_light: https://storage.googleapis.com/anyplot-images/plots/ohlc-bar/r/ggplot2/plot-light.png
preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/ohlc-bar/r/ggplot2/plot-dark.png
preview_html_light: null
preview_html_dark: null
quality_score: 87
review:
strengths:
- Proper theme-adaptive design with correct color token usage
- OHLC bars correctly implemented with vertical high-low lines and open-close ticks
- Excellent legibility in both light and dark themes
- Data colors consistent across themes (Okabe-Ito compliant)
- Smart opacity variation by volatility adds visual sophistication
- Clean, idiomatic ggplot2 code with proper geom_segment usage
- Reproducible data generation with set.seed(42)
- 7-day moving average provides useful context line
weaknesses:
- Design is functional but lacks distinctive polish - relies heavily on theme_minimal
defaults
- No visual hierarchy or emphasis technique to create focal point
- Panel border present but spines not explicitly addressed (no removal/customization)
- Moving average styling is subtle but could benefit from more design intentionality
image_description: |-
Light render (plot-light.png):
Background: Warm off-white (#FAF8F1) with subtle border in BORDER_COL
Chrome: Title "ohlc-bar · ggplot2 · anyplot.ai" in bold dark text (24pt, #1A1A17). X-axis label "Date" and Y-axis label "Price ($)" in bold dark (20pt). Tick labels in soft dark (#4A4A44, 16pt) with date rotation at 45°. All text clearly readable against light surface.
Data: OHLC bars correctly rendered with green (#009E73) for up-bars, orange (#D55E00) for down-bars. Vertical lines show high-low range, horizontal ticks left (open) and right (close). Opacity variation shows volatility. Dotted trend line in INK_SOFT shows 7-day moving average. Y-axis grid subtle and appropriate.
Legibility verdict: PASS - All text readable, excellent contrast, no overlaps, proper theme mapping.

Dark render (plot-dark.png):
Background: Warm near-black (#1A1A17) with appropriate border
Chrome: Title in light text (24pt, #F0EFE8), clearly visible. X and Y axis labels in light text (20pt, #F0EFE8). Tick labels in light gray (#B8B7B0, 16pt), all readable. No dark-on-dark failures detected.
Data: OHLC bars with identical data colors to light render - green (#009E73) and orange (#D55E00) preserved perfectly. Vertical and horizontal segments properly colored and visible. Opacity variation maintained. Dotted trend line visible. Grid properly themed.
Legibility verdict: PASS - All text readable, excellent contrast on dark surface, proper color preservation, no chrome failures.
criteria_checklist:
visual_quality:
score: 30
max: 30
items:
- id: VQ-01
name: Text Legibility
score: 8
max: 8
passed: true
comment: Title (24pt), axis labels (20pt), tick labels (16pt) all explicitly
sized and readable in both themes with proper theme-adaptive colors
- id: VQ-02
name: No Overlap
score: 6
max: 6
passed: true
comment: Date labels rotated 45° for clarity, no text collisions, bars properly
spaced
- id: VQ-03
name: Element Visibility
score: 6
max: 6
passed: true
comment: All OHLC elements clearly visible - vertical lines, ticks, opacity
variation shows volatility adaptation
- id: VQ-04
name: Color Accessibility
score: 2
max: 2
passed: true
comment: Okabe-Ito palette (up=#009E73, down=#D55E00) - CVD-safe, high contrast
- id: VQ-05
name: Layout & Canvas
score: 4
max: 4
passed: true
comment: 16:9 landscape format with good proportions, nothing cut off, generous
whitespace
- id: VQ-06
name: Axis Labels & Title
score: 2
max: 2
passed: true
comment: Descriptive labels with units (Price $), title format correct
- id: VQ-07
name: Palette Compliance
score: 2
max: 2
passed: true
comment: 'First series #009E73, second #D55E00, backgrounds #FAF8F1 light/#1A1A17
dark, theme-correct chrome'
design_excellence:
score: 10
max: 20
items:
- id: DE-01
name: Aesthetic Sophistication
score: 5
max: 8
passed: false
comment: Theme tokens properly applied, opacity variation thoughtful, but
relies on defaults - no extraordinary aesthetic polish
- id: DE-02
name: Visual Refinement
score: 3
max: 6
passed: false
comment: Grid subtle and Y-axis only (good), but no spine removal or extra
refinements beyond theme_minimal
- id: DE-03
name: Data Storytelling
score: 2
max: 6
passed: false
comment: Moving average provides trend context, color coding is clear, but
no strong visual hierarchy or focal point
spec_compliance:
score: 15
max: 15
items:
- id: SC-01
name: Plot Type
score: 5
max: 5
passed: true
comment: Correct OHLC bar chart implementation
- id: SC-02
name: Required Features
score: 4
max: 4
passed: true
comment: Vertical high-low range, left open tick, right close tick, up/down
color differentiation all present
- id: SC-03
name: Data Mapping
score: 3
max: 3
passed: true
comment: X=date, Y=price with correct axis ranges
- id: SC-04
name: Title & Legend
score: 3
max: 3
passed: true
comment: Title format correct, legend appropriately omitted
data_quality:
score: 15
max: 15
items:
- id: DQ-01
name: Feature Coverage
score: 6
max: 6
passed: true
comment: All OHLC aspects (open, high, low, close) shown across 45 trading
days
- id: DQ-02
name: Realistic Context
score: 5
max: 5
passed: true
comment: Stock price data realistic (starting ~$150, realistic volatility
and intraday variation)
- id: DQ-03
name: Appropriate Scale
score: 4
max: 4
passed: true
comment: Price range $150-$173 sensible for daily stock data
code_quality:
score: 10
max: 10
items:
- id: CQ-01
name: KISS Structure
score: 3
max: 3
passed: true
comment: No unnecessary functions/classes, straightforward data generation
and plotting
- id: CQ-02
name: Reproducibility
score: 2
max: 2
passed: true
comment: Uses set.seed(42) for reproducible synthetic data
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
comment: 'Only necessary imports: ggplot2, dplyr, ragg'
- id: CQ-04
name: Code Elegance
score: 2
max: 2
passed: true
comment: Appropriate complexity, uses geom_segment idiomatically for OHLC,
no fake UI
- id: CQ-05
name: Output & API
score: 1
max: 1
passed: true
comment: Saves as plot-{THEME}.png with ragg::agg_png device, correct output
format
library_mastery:
score: 7
max: 10
items:
- id: LM-01
name: Idiomatic Usage
score: 5
max: 5
passed: true
comment: 'Proper ggplot2 patterns: geom_segment for custom lines, theme_minimal
+ layered theme, aes() mappings, scale_color_manual, scale_alpha_identity()'
- id: LM-02
name: Distinctive Features
score: 2
max: 5
passed: false
comment: Uses geom_segment creatively for OHLC and demonstrates theme-adaptive
design, but otherwise standard patterns
score_caps: []
verdict: APPROVED
impl_tags:
dependencies: []
techniques:
- layer-composition
patterns:
- data-generation
dataprep:
- rolling-window
styling:
- alpha-blending
- grid-styling
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