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Update app.py
Browse files
app.py
CHANGED
@@ -51,16 +51,10 @@ st.title("📊 ESG & 董事席次數據分析儀表板")
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data_option = st.sidebar.radio("📂 選擇數據類型", ["ESG 數據", "董事席次數據"])
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if data_option == "ESG 數據" and df_esg is not None:
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st.subheader("📌 ESG 數據總覽")
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st.write(df_esg.describe())
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st.subheader("📌 ESG 數據預覽")
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st.write(df_esg.head(10))
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elif data_option == "董事席次數據" and df_board is not None:
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st.subheader("📌 董事席次數據總覽")
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st.write(df_board.describe())
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st.subheader("📌 董事席次數據預覽")
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st.write(df_board.head(10))
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@@ -90,4 +84,5 @@ if 'filtered_df' in locals() and filtered_df is not None:
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fig_pie = px.pie(filtered_df.head(10), names=filtered_df.index[:10], values=col_choice,
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title=f"{col_choice} 圓餅圖")
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st.plotly_chart(fig_pie, use_container_width=True)
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data_option = st.sidebar.radio("📂 選擇數據類型", ["ESG 數據", "董事席次數據"])
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if data_option == "ESG 數據" and df_esg is not None:
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st.subheader("📌 ESG 數據預覽")
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st.write(df_esg.head(10))
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elif data_option == "董事席次數據" and df_board is not None:
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st.subheader("📌 董事席次數據預覽")
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st.write(df_board.head(10))
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fig_pie = px.pie(filtered_df.head(10), names=filtered_df.index[:10], values=col_choice,
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title=f"{col_choice} 圓餅圖")
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st.plotly_chart(fig_pie, use_container_width=True)
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