## Summary
Implements `scatter-color-groups` for **pygal** library.

**Parent Issue:** #208
**Sub-Issue:** #274
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/pygal/xy/scatter-color-groups/default.py`

Uses pygal's `XY` chart type with `stroke=False` to create a scatter
plot. Data points are grouped by category (simulating iris species data)
and each group is rendered in a distinct color from the PyPlots.ai
palette.

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **plotly** library.

**Parent Issue:** #208
**Sub-Issue:** #254
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/plotly/scatter/scatter-color-groups/default.py`

## Details
- Uses plotly express for clean, declarative scatter plot creation
- Generates iris-like sample data with three distinct species groups
- Applies color palette from style guide (#306998, #FFD43B, #DC2626)
- Output: 4800x2700 PNG (16:9 aspect ratio via scale=3)
- Includes proper axis labels, legend, and title styling

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **altair** library.

**Parent Issue:** #208
**Sub-Issue:** #267
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/altair/point/scatter-color-groups/default.py`

## Details
- Creates iris-like dataset with three species groups (setosa,
versicolor, virginica)
- Uses colorblind-safe palette from the style guide (#306998, #FFD43B,
#059669)
- Outputs 4800 × 2700 px PNG (1600 × 900 with scale_factor=3.0)
- Includes tooltips for interactive exploration

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **letsplot** library.

**Parent Issue:** #208
**Sub-Issue:** #280
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/letsplot/point/scatter-color-groups/default.py`

## Details
- Generates iris-like sample data with 3 species groups
- Uses colorblind-safe palette: Python Blue (#306998), Yellow (#FFD43B),
Teal (#059669)
- Follows style guide dimensions: 4800 x 2700 px (1600x900 base, 3x
scale)
- Uses minimal theme with readable font sizes

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **highcharts** library.

**Parent Issue:** #208
**Sub-Issue:** #277
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/highcharts/scatter/scatter-color-groups/default.py`

## Features
- Scatter plot showing iris dataset sepal dimensions grouped by species
- Three distinct color groups (Setosa, Versicolor, Virginica) using the
style guide palette
- Proper axis labels and title
- Legend positioned on the right side
- Target output size: 4800 x 2700 px

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **bokeh** library.

**Parent Issue:** #208
**Sub-Issue:** #261
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/bokeh/scatter/scatter-color-groups/default.py`

## Features
- Uses iris dataset as example data
- Color-coded by species (3 groups)
- Uses style guide color palette
- 4800x2700px output size
- Proper legend with capitalized species names
- Styled font sizes for title, axes, and legend

---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **matplotlib** library.

**Parent Issue:** #208
**Sub-Issue:** #238
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/matplotlib/scatter/scatter-color-groups/default.py`

## Details
- Uses iris dataset to demonstrate categorical color groups (species)
- Colorblind-safe palette from style guide (#306998, #FFD43B, #DC2626)
- Proper axis labels, title, legend with appropriate font sizes
- Simple KISS-style script (no functions/classes)

---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>

## Summary
Implements `scatter-color-groups` for **plotnine** library.

**Parent Issue:** #208
**Sub-Issue:** #271
**Base Branch:** `plot/scatter-color-groups`
**Attempt:** 1/3

## Implementation
- `plots/plotnine/point/scatter-color-groups/default.py`

## Details
- Uses the iris dataset as specified in the spec
- Categorical color grouping by species using `scale_color_brewer` with
qualitative palette
- Follows plotnine grammar of graphics approach with `geom_point`
- Figure size: 16 x 9 (4800 x 2700 px at 300 dpi)

---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>