feat(bokeh): implement scatter-color-groups

Add scatter plot with color groups implementation using iris dataset.
Uses bokeh's scatter glyph with categorical color mapping.

Author: github-actions[bot]

plots/bokeh/scatter/scatter-color-groups/default.py

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+"""
+scatter-color-groups: Scatter Plot with Color Groups
+Library: bokeh
+"""
+
+import seaborn as sns
+from bokeh.io import export_png
+from bokeh.models import ColumnDataSource
+from bokeh.plotting import figure
+
+
+# Data
+data = sns.load_dataset("iris")
+
+# Color palette (from style guide)
+colors = ["#306998", "#FFD43B", "#DC2626", "#059669", "#8B5CF6", "#F97316"]
+species_list = data["species"].unique().tolist()
+color_map = {species: colors[i] for i, species in enumerate(species_list)}
+data["color"] = data["species"].map(color_map)
+
+# Create figure
+p = figure(
+    width=4800,
+    height=2700,
+    title="Scatter Plot with Color Groups",
+    x_axis_label="Sepal Length (cm)",
+    y_axis_label="Sepal Width (cm)",
+)
+
+# Plot each group separately for legend
+for species in species_list:
+    species_data = data[data["species"] == species]
+    source = ColumnDataSource(data={"x": species_data["sepal_length"], "y": species_data["sepal_width"]})
+    p.scatter(
+        x="x", y="y", source=source, size=12, alpha=0.7, color=color_map[species], legend_label=species.capitalize()
+    )
+
+# Styling
+p.title.text_font_size = "20pt"
+p.xaxis.axis_label_text_font_size = "20pt"
+p.yaxis.axis_label_text_font_size = "20pt"
+p.xaxis.major_label_text_font_size = "16pt"
+p.yaxis.major_label_text_font_size = "16pt"
+p.legend.label_text_font_size = "16pt"
+p.legend.location = "top_right"
+p.grid.grid_line_alpha = 0.3
+
+# Save
+export_png(p, filename="plot.png")