feat(letsplot): implement scatter-basic (#1326)

## Implementation: `scatter-basic` - letsplot

Implements the **letsplot** version of `scatter-basic`.

**File:** `plots/scatter-basic/implementations/letsplot.py`

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20446960716)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/scatter-basic/implementations/letsplot.py

@@ -1,7 +1,7 @@
 """ pyplots.ai
 scatter-basic: Basic Scatter Plot
-Library: letsplot 4.8.1 | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-13
+Library: letsplot unknown | Python 3.13.11
+Quality: 90/100 | Created: 2025-12-22
 """
 
 import numpy as np
@@ -12,20 +12,27 @@
 
 LetsPlot.setup_html()  # noqa: F405
 
-# Data
+# Data - Simulating study hours vs exam scores relationship
 np.random.seed(42)
-n = 150
-x = np.random.randn(n) * 2 + 10
-y = x * 0.8 + np.random.randn(n) * 2
+n = 120
+study_hours = np.random.uniform(1, 10, n)
+exam_scores = study_hours * 8 + 20 + np.random.randn(n) * 5
 
-df = pd.DataFrame({"x": x, "y": y})
+df = pd.DataFrame({"study_hours": study_hours, "exam_scores": exam_scores})
 
-# Plot
+# Plot with interactive tooltips
 plot = (
-    ggplot(df, aes(x="x", y="y"))  # noqa: F405
-    + geom_point(color="#306998", size=5, alpha=0.7)  # noqa: F405
+    ggplot(df, aes(x="study_hours", y="exam_scores"))  # noqa: F405
+    + geom_point(  # noqa: F405
+        color="#306998",
+        size=6,
+        alpha=0.7,
+        tooltips=layer_tooltips()  # noqa: F405
+        .line("Study Hours|@study_hours")
+        .line("Exam Score|@exam_scores"),
+    )
     + labs(  # noqa: F405
-        x="X Value", y="Y Value", title="scatter-basic · lets-plot · pyplots.ai"
+        x="Study Hours (hrs)", y="Exam Score (points)", title="scatter-basic · letsplot · pyplots.ai"
     )
     + ggsize(1600, 900)  # noqa: F405
     + theme_minimal()  # noqa: F405
@@ -37,7 +44,7 @@
     )
 )
 
-# Save PNG (scale 3x to get 4800 × 2700 px)
+# Save PNG (scale 3x to get 4800 x 2700 px)
 export_ggsave(plot, filename="plot.png", path=".", scale=3)
 
 # Save HTML for interactive version

plots/scatter-basic/metadata/letsplot.yaml

@@ -1,17 +1,25 @@
 library: letsplot
 specification_id: scatter-basic
-created: 2025-12-13 23:13:54+00:00
-updated: 2025-12-13 23:13:54+00:00
+created: '2025-12-22T23:43:07Z'
+updated: '2025-12-23T00:06:42Z'
 generated_by: claude-opus-4-5-20251101
-workflow_run: 20199223509
-issue: 611
+workflow_run: 20446960716
+issue: 0
 python_version: 3.13.11
-library_version: 4.8.1
+library_version: unknown
 preview_url: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/letsplot/plot.png
 preview_thumb: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/letsplot/plot_thumb.png
 preview_html: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/letsplot/plot.html
-quality_score: 92
+quality_score: 90
 review:
-  strengths: []
-  weaknesses: []
-  improvements: []
+  strengths:
+  - Clean ggplot2-style grammar of graphics implementation
+  - Proper use of theme_minimal() with customized text sizes for readability
+  - Correct 16:9 aspect ratio with 3x scale export for high-resolution output
+  - Exports both PNG and interactive HTML versions
+  - Good transparency (alpha=0.7) for revealing overlapping points
+  - Subtle dashed grid lines that do not overwhelm the data
+  weaknesses:
+  - Data labels use generic X Value/Y Value instead of a realistic scenario (e.g.,
+    Study Hours vs Exam Score)
+  - Title text could be slightly larger for better visibility at full resolution