Feat: return empty fig
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581b0f4f2f
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d9e95f2186
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@ -240,7 +240,7 @@ def update_final_scores_hist(data):
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assessment_scores = pd.DataFrame.from_records(data)
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assessment_scores = pd.DataFrame.from_records(data)
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if assessment_scores.empty:
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if assessment_scores.empty:
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return [{"data": [], "layout": []}]
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return [go.Figure(data=[go.Scatter(x=[], y=[])])]
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ranges = np.linspace(
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ranges = np.linspace(
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-0.5,
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-0.5,
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@ -287,7 +287,7 @@ def update_competence_fig(data):
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scores = flat_df_students(scores).dropna(subset=["Score"])
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scores = flat_df_students(scores).dropna(subset=["Score"])
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if scores.empty:
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if scores.empty:
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return [{"data": [], "layout": []}]
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return [go.Figure(data=[go.Scatter(x=[], y=[])])]
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scores = pp_q_scores(scores)
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scores = pp_q_scores(scores)
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pt = pd.pivot_table(
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pt = pd.pivot_table(
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