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Update app.py
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app.py
CHANGED
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@@ -1642,10 +1642,10 @@ st.markdown("<div class='predictive-header'>1. Which Reporters Are Predicted to
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if not df_creator.empty:
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cols = ['Creator', 'Avg Reports/Month', 'Coverage (%)', 'Trend Slope', 'Trend']
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html = df_display.to_html(escape=False, index=False, table_id="tbl-creators")
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st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
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@@ -1679,9 +1679,9 @@ if not df_location.empty:
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cols = ['Location', 'Avg Reports/Month', 'Coverage (%)', 'Trend Slope', 'Trend']
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# # 🔥 Rename hanya untuk DISPLAY, bukan data asli
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html = df_display.to_html(escape=False, index=False, table_id="tbl-locations")
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st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
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@@ -1715,9 +1715,9 @@ if not df_division.empty:
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cols = ['Division', 'Avg Reports/Month', 'Coverage (%)', 'Trend Slope', 'Trend']
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# # 🔥 Rename hanya untuk DISPLAY, bukan data asli
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html = df_display.to_html(escape=False, index=False, table_id="tbl-divisions")
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st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
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if not df_creator.empty:
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cols = ['Creator', 'Avg Reports/Month', 'Coverage (%)', 'Trend Slope', 'Trend']
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🔥 Rename hanya untuk DISPLAY, bukan data asli
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df_display = df_creator[cols].rename(columns={
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"Reason": "Reason Forecast"
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})
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html = df_display.to_html(escape=False, index=False, table_id="tbl-creators")
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st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
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cols = ['Location', 'Avg Reports/Month', 'Coverage (%)', 'Trend Slope', 'Trend']
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# # 🔥 Rename hanya untuk DISPLAY, bukan data asli
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df_display = df_location[cols].rename(columns={
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"Reason": "Reason Forecast"
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})
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html = df_display.to_html(escape=False, index=False, table_id="tbl-locations")
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st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
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cols = ['Division', 'Avg Reports/Month', 'Coverage (%)', 'Trend Slope', 'Trend']
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# # 🔥 Rename hanya untuk DISPLAY, bukan data asli
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df_display = df_division[cols].rename(columns={
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"Reason": "Reason Forecast"
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})
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html = df_display.to_html(escape=False, index=False, table_id="tbl-divisions")
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st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
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