Qumo/JPMC-quant
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drop voice46 from scales 1-10. fix plots breakline in title

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This commit is contained in:
Luigi Maiorano
2026-01-29 21:10:56 +01:00
parent 8aee09f968
commit becc435d3c
3 changed files with 75 additions and 50 deletions
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41
02_quant_analysis.py
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@@ -1,7 +1,7 @@
import marimo
__generated_with = "0.19.2"
app = marimo.App(width="medium")
app = marimo.App(width="full")
@app.cell
@@ -167,17 +167,19 @@ def _(S, mo):
''')
return (filter_form,)
return
@app.cell
def _(S, data_validated, filter_form, mo):
mo.stop(filter_form.value is None, mo.md("**Please submit filter above to proceed**"))
_d = S.filter_data(data_validated, age=filter_form.value['age'], gender=filter_form.value['gender'], income=filter_form.value['income'], ethnicity=filter_form.value['ethnicity'], consumer=filter_form.value['consumer'])
def _(data_validated):
# mo.stop(filter_form.value is None, mo.md("**Please submit filter above to proceed**"))
# _d = S.filter_data(data_validated, age=filter_form.value['age'], gender=filter_form.value['gender'], income=filter_form.value['income'], ethnicity=filter_form.value['ethnicity'], consumer=filter_form.value['consumer'])
# Stop execution and prevent other cells from running if no data is selected
mo.stop(len(_d.collect()) == 0, mo.md("**No Data available for current filter combination**"))
data = _d
# # Stop execution and prevent other cells from running if no data is selected
# mo.stop(len(_d.collect()) == 0, mo.md("**No Data available for current filter combination**"))
# data = _d
data = data_validated
data.collect()
return (data,)
@@ -391,28 +393,25 @@ def _(S, mo, vscales):
mo.md(f"""
### How does each voice score on a scale from 1-10?
{mo.ui.altair_chart(S.plot_average_scores_with_counts(vscales, x_label='Voice', width=1000))}
{mo.ui.altair_chart(S.plot_average_scores_with_counts(vscales, x_label='Voice', width=1000, domain=[1,10]))}
""")
return
@app.cell
def _(vscales):
target_cols=[c for c in vscales.columns if c not in ['_recordId']]
target_cols
return (target_cols,)
def _(utils, vscales):
_target_cols=[c for c in vscales.collect().columns if c not in ['_recordId']]
vscales_row_norm = utils.normalize_row_values(vscales.collect(), target_cols=_target_cols)
vscales_row_norm
return (vscales_row_norm,)
@app.cell
def _(target_cols, utils, vscales):
vscales_row_norm = utils.normalize_row_values(vscales.collect(), target_cols=target_cols)
return
def _(S, mo, vscales_row_norm):
mo.md(f"""
### Voice scale 1-10 normalized per respondent?
@app.cell
def _(mo):
mo.md(r"""
{mo.ui.altair_chart(S.plot_average_scores_with_counts(vscales_row_norm, x_label='Voice', width=1000))}
""")
return