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male/female voices in separate plots for correlations

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This commit is contained in:
Luigi Maiorano
2026-02-04 12:35:24 +01:00
parent e17646eb70
commit ab78276a97
1 changed files with 126 additions and 0 deletions
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126
03_quant_report.script.py
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@@ -560,6 +560,56 @@ S.plot_speaking_style_color_correlation(
title="Correlation: Speaking Style Colors and Voice Ranking Points"
)
# %%
# Gender-filtered correlation plots (Male vs Female voices)
from reference import VOICE_GENDER_MAPPING
MALE_VOICES = [v for v, g in VOICE_GENDER_MAPPING.items() if g == "Male"]
FEMALE_VOICES = [v for v, g in VOICE_GENDER_MAPPING.items() if g == "Female"]
# Filter joined data by voice gender
joined_scale_male = joined_scale.filter(pl.col("Voice").is_in(MALE_VOICES))
joined_scale_female = joined_scale.filter(pl.col("Voice").is_in(FEMALE_VOICES))
joined_ranking_male = joined_ranking.filter(pl.col("Voice").is_in(MALE_VOICES))
joined_ranking_female = joined_ranking.filter(pl.col("Voice").is_in(FEMALE_VOICES))
# Colors vs Scale 1-10 (Male voices only)
color_corr_scale_male, _ = utils.transform_speaking_style_color_correlation(joined_scale_male, SPEAKING_STYLES)
S.plot_speaking_style_color_correlation(
data=color_corr_scale_male,
title="Correlation: Speaking Style Colors and Voice Scale 1-10 (Male Voices Only)"
)
# Colors vs Scale 1-10 (Female voices only)
color_corr_scale_female, _ = utils.transform_speaking_style_color_correlation(joined_scale_female, SPEAKING_STYLES)
S.plot_speaking_style_color_correlation(
data=color_corr_scale_female,
title="Correlation: Speaking Style Colors and Voice Scale 1-10 (Female Voices Only)"
)
# %%
# Colors vs Ranking Points (Male voices only)
color_corr_ranking_male, _ = utils.transform_speaking_style_color_correlation(
joined_ranking_male,
SPEAKING_STYLES,
target_column="Ranking_Points"
)
S.plot_speaking_style_color_correlation(
data=color_corr_ranking_male,
title="Correlation: Speaking Style Colors and Voice Ranking Points (Male Voices Only)"
)
# Colors vs Ranking Points (Female voices only)
color_corr_ranking_female, _ = utils.transform_speaking_style_color_correlation(
joined_ranking_female,
SPEAKING_STYLES,
target_column="Ranking_Points"
)
S.plot_speaking_style_color_correlation(
data=color_corr_ranking_female,
title="Correlation: Speaking Style Colors and Voice Ranking Points (Female Voices Only)"
)
# %%
mo.md(r"""
### Individual Traits vs Scale 1-10
@@ -608,6 +658,82 @@ for _style, _traits in SPEAKING_STYLES.items():
"""
mo.md(_content)
# %%
# Individual Traits vs Scale 1-10 (Male voices only)
_content = """### Individual Traits vs Scale 1-10 (Male Voices Only)\n\n"""
for _style, _traits in SPEAKING_STYLES.items():
_fig = S.plot_speaking_style_scale_correlation(
data=joined_scale_male,
style_color=_style,
style_traits=_traits,
title=f"Correlation: Speaking Style {_style} and Voice Scale 1-10 (Male Voices Only)",
)
_content += f"""
#### Speaking Style **{_style}**:
{mo.ui.altair_chart(_fig)}
"""
mo.md(_content)
# %%
# Individual Traits vs Scale 1-10 (Female voices only)
_content = """### Individual Traits vs Scale 1-10 (Female Voices Only)\n\n"""
for _style, _traits in SPEAKING_STYLES.items():
_fig = S.plot_speaking_style_scale_correlation(
data=joined_scale_female,
style_color=_style,
style_traits=_traits,
title=f"Correlation: Speaking Style {_style} and Voice Scale 1-10 (Female Voices Only)",
)
_content += f"""
#### Speaking Style **{_style}**:
{mo.ui.altair_chart(_fig)}
"""
mo.md(_content)
# %%
# Individual Traits vs Ranking Points (Male voices only)
_content = """### Individual Traits vs Ranking Points (Male Voices Only)\n\n"""
for _style, _traits in SPEAKING_STYLES.items():
_fig = S.plot_speaking_style_ranking_correlation(
data=joined_ranking_male,
style_color=_style,
style_traits=_traits,
title=f"Correlation: Speaking Style {_style} and Voice Ranking Points (Male Voices Only)",
)
_content += f"""
#### Speaking Style **{_style}**:
{mo.ui.altair_chart(_fig)}
"""
mo.md(_content)
# %%
# Individual Traits vs Ranking Points (Female voices only)
_content = """### Individual Traits vs Ranking Points (Female Voices Only)\n\n"""
for _style, _traits in SPEAKING_STYLES.items():
_fig = S.plot_speaking_style_ranking_correlation(
data=joined_ranking_female,
style_color=_style,
style_traits=_traits,
title=f"Correlation: Speaking Style {_style} and Voice Ranking Points (Female Voices Only)",
)
_content += f"""
#### Speaking Style **{_style}**:
{mo.ui.altair_chart(_fig)}
"""
mo.md(_content)
# %%
# ## Correlations when "Best Brand Character" is chosen
# For each of the 4 brand characters, filter the dataset to only those respondents