Character personality ranking complete

02_quant_analysis.py

@@ -11,15 +11,20 @@ def _():
     from pathlib import Path
 
     from validation import check_progress, duration_validation
-    from utils import JPMCSurvey, combine_exclusive_columns
-    from plots import plot_average_scores_with_counts, plot_top3_ranking_distribution
+    from utils import JPMCSurvey, combine_exclusive_columns, calculate_weighted_ranking_scores
+    from plots import plot_average_scores_with_counts, plot_top3_ranking_distribution, plot_character_ranking_distribution, plot_most_ranked_1_character, plot_weighted_ranking_score
     return (
         JPMCSurvey,
         Path,
+        calculate_weighted_ranking_scores,
         check_progress,
         duration_validation,
         mo,
         plot_average_scores_with_counts,
+        plot_character_ranking_distribution,
+        plot_most_ranked_1_character,
+        plot_top3_ranking_distribution,
+        plot_weighted_ranking_score,
     )
 
 
@@ -108,12 +113,49 @@ def _(mo):
     mo.md(r"""
     ## Character personality ranking
 
-    1. Which character personality is ranked best?
-    2. Which character personality is ranked number 1 the most?
+    ### 1. Which character personality is ranked best?
     """)
     return
 
 
+@app.cell
+def _(data, survey):
+    char_rank = survey.get_character_ranking(data)[0].collect()
+
+    return (char_rank,)
+
+
+@app.cell
+def _(char_rank, plot_character_ranking_distribution):
+    plot_character_ranking_distribution(char_rank, x_label='Character Personality', width=1000)
+    return
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""
+    ### 2. Which character personality is ranked number 1 the most?
+    """)
+    return
+
+
+@app.cell
+def _(
+    calculate_weighted_ranking_scores,
+    char_rank,
+    plot_weighted_ranking_score,
+):
+    char_rank_weighted = calculate_weighted_ranking_scores(char_rank)
+    plot_weighted_ranking_score(char_rank_weighted, x_label='Voice', width=1000)
+    return
+
+
+@app.cell
+def _(char_rank, plot_most_ranked_1_character):
+    plot_most_ranked_1_character(char_rank, x_label='Character Personality', width=1000)
+    return
+
+
 @app.cell(hide_code=True)
 def _(mo):
     mo.md(r"""
@@ -122,6 +164,13 @@ def _(mo):
     return
 
 
+@app.cell
+def _(data, survey):
+    v_18_8_3 = survey.get_18_8_3(data)[0].collect()
+    print(v_18_8_3.head())
+    return
+
+
 @app.cell(hide_code=True)
 def _(mo):
     mo.md(r"""
@@ -147,6 +196,12 @@ def _(mo):
     return
 
 
+@app.cell
+def _(plot_top3_ranking_distribution, top3_voices):
+    plot_top3_ranking_distribution(top3_voices, x_label='Voice', width=1000)
+    return
+
+
 @app.cell(hide_code=True)
 def _(mo):
     mo.md(r"""