wordcloud

03_quant_report.py

@@ -1,7 +1,7 @@
 import marimo
 
 __generated_with = "0.19.2"
-app = marimo.App(width="medium")
+app = marimo.App(width="full")
 
 with app.setup:
     import marimo as mo
@@ -166,7 +166,7 @@ def _(data_all):
     return
 
 
-@app.cell(hide_code=True)
+@app.cell
 def _():
     mo.md(r"""
     ## Demographic Distributions
@@ -204,6 +204,124 @@ def _(S, demo_plot_cols, demographics):
     return
 
 
+@app.cell
+def _():
+    mo.md(r"""
+    ---
+
+    # Brand Character Results
+    """)
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ## Best performing: Original vs Refined frankenstein
+    """)
+    return
+
+
+@app.cell
+def _(S, data):
+    char_refine_rank = S.get_character_refine(data)[0]
+    # print(char_rank.collect().head())
+    # print(char_refine_rank.collect().head())
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ## Character ranking points
+    """)
+    return
+
+
+@app.cell
+def _(S, char_rank):
+    char_rank_weighted = calculate_weighted_ranking_scores(char_rank)
+    S.plot_weighted_ranking_score(char_rank_weighted, title="Most Popular Character - Weighted Popularity Score<br>(1st=3pts, 2nd=2pts, 3rd=1pt)", x_label='Voice')
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ## Character ranking 1-2-3
+    """)
+    return
+
+
+@app.cell
+def _(S, data):
+    char_rank = S.get_character_ranking(data)[0]
+    return (char_rank,)
+
+
+@app.cell
+def _(S, char_rank):
+    S.plot_top3_ranking_distribution(char_rank, x_label='Character Personality', title='Character Personality: Rankings Top 3')
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ## Character Ranking: times 1st place
+    """)
+    return
+
+
+@app.cell
+def _(S, char_rank):
+    S.plot_most_ranked_1(char_rank, title="Most Popular Character<br>(Number of Times Ranked 1st)", x_label='Character Personality')
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ## Prominent predefined personality traits wordcloud
+    """)
+    return
+
+
+@app.cell
+def _(S, data):
+    top8_traits = S.get_top_8_traits(data)[0]
+    S.plot_traits_wordcloud(
+        data=top8_traits,
+        column='Top_8_Traits',
+        title="Most Prominent Personality Traits",
+    )
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ## Trait frequency per brand character
+    """)
+    return
+
+
+@app.cell
+def _():
+    # Join respondent 
+    return
+
+
+@app.cell
+def _():
+    mo.md(r"""
+    ---
+
+    # Spoken Voice Results
+    """)
+    return
+
+
 @app.cell(hide_code=True)
 def _():
     mo.md(r"""