feat(letsplot): implement box-basic

plots/letsplot/boxplot/box-basic/default.py

@@ -0,0 +1,62 @@
+"""
+box-basic: Basic Box Plot
+Library: letsplot
+"""
+
+import numpy as np
+import pandas as pd
+from lets_plot import (
+    LetsPlot,
+    aes,
+    element_text,
+    geom_boxplot,
+    ggplot,
+    ggsave,
+    ggsize,
+    labs,
+    scale_fill_manual,
+    theme,
+    theme_minimal,
+)
+
+
+LetsPlot.setup_html()
+
+# Data
+np.random.seed(42)
+data = pd.DataFrame(
+    {
+        "group": ["A"] * 50 + ["B"] * 50 + ["C"] * 50 + ["D"] * 50,
+        "value": np.concatenate(
+            [
+                np.random.normal(50, 10, 50),
+                np.random.normal(60, 15, 50),
+                np.random.normal(45, 8, 50),
+                np.random.normal(70, 20, 50),
+            ]
+        ),
+    }
+)
+
+# Color palette from style guide
+colors = ["#306998", "#FFD43B", "#DC2626", "#059669"]
+
+# Create plot
+plot = (
+    ggplot(data, aes(x="group", y="value", fill="group"))
+    + geom_boxplot(alpha=0.8, outlier_size=3)
+    + scale_fill_manual(values=colors)
+    + labs(x="Group", y="Value", title="Basic Box Plot")
+    + theme_minimal()
+    + theme(
+        plot_title=element_text(size=20),
+        axis_title=element_text(size=20),
+        axis_text=element_text(size=16),
+        legend_title=element_text(size=16),
+        legend_text=element_text(size=16),
+    )
+    + ggsize(1600, 900)
+)
+
+# Save as PNG (scale 3x to get 4800 x 2700 px)
+ggsave(plot, "plot.png", path=".", scale=3)