Update app.py
Browse files
app.py
CHANGED
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@@ -336,7 +336,7 @@ elif st.session_state.current_page == "EDA":
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st.image("images/target_column_distribution.png", caption="Life Expectancy Distribution", use_container_width=True)
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st.markdown("""
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<h5 style="text-align: center;">
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-
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</h5>
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""", unsafe_allow_html=True)
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st.markdown("<br>", unsafe_allow_html=True)
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@@ -346,7 +346,7 @@ elif st.session_state.current_page == "EDA":
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st.image("images/Correlation_Heatmap.png", caption="Correlation Heatmap", use_container_width=True)
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st.markdown("""
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<h5 style="text-align: center;">
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-
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<b>Schooling, Income Composition of Resources, GDP, Diphtheria, Polio, BMI, and Percentage Expenditure</b>.
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</h5>
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""", unsafe_allow_html=True)
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@@ -359,7 +359,7 @@ elif st.session_state.current_page == "EDA":
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st.image("images/specific_col_affecting_target.png", caption="GDP vs. Life Expectancy", use_container_width=True)
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st.markdown("""
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<h5>
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-
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1οΈβ£ **GDP vs. Life Expectancy**
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- Positive correlation: As GDP increases, Life Expectancy also increases.
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- Some countries with low GDP still have high Life Expectancy due to good healthcare policies.
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@@ -388,13 +388,8 @@ elif st.session_state.current_page == "EDA":
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st.image("images/target_col vs countries.png", caption="Life Expectancy vs Developed / Undeveloped Countries", use_container_width=True)
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st.markdown("""
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<h5 style="text-align: center;">
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-
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- **Better Nutrition** π
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- **Medical Interventions** π₯
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- Developing countries, on the other hand, struggle with healthcare access, leading to lower Life Expectancy.
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</h5>
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""", unsafe_allow_html=True)
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st.markdown("<br>", unsafe_allow_html=True)
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# Hands-on Model Page
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st.image("images/target_column_distribution.png", caption="Life Expectancy Distribution", use_container_width=True)
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st.markdown("""
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<h5 style="text-align: center;">
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Insight: Mostly Life Expectancy is in <b>range of 50-80</b>.
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</h5>
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""", unsafe_allow_html=True)
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st.markdown("<br>", unsafe_allow_html=True)
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st.image("images/Correlation_Heatmap.png", caption="Correlation Heatmap", use_container_width=True)
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st.markdown("""
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<h5 style="text-align: center;">
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Insight: Our target column <b>Life Expectancy</b> is mostly linearly dependent on
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<b>Schooling, Income Composition of Resources, GDP, Diphtheria, Polio, BMI, and Percentage Expenditure</b>.
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</h5>
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""", unsafe_allow_html=True)
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st.image("images/specific_col_affecting_target.png", caption="GDP vs. Life Expectancy", use_container_width=True)
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st.markdown("""
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<h5>
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Insights:
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1οΈβ£ **GDP vs. Life Expectancy**
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- Positive correlation: As GDP increases, Life Expectancy also increases.
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- Some countries with low GDP still have high Life Expectancy due to good healthcare policies.
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st.image("images/target_col vs countries.png", caption="Life Expectancy vs Developed / Undeveloped Countries", use_container_width=True)
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st.markdown("""
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<h5 style="text-align: center;">
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- Insight: Life Expectancy is <b>higher in Developed Countries</b> due to Advanced Healthcare, Better Nutrition, Medical Interventions.Developing countries, on the other hand, struggle with healthcare access, leading to lower Life Expectancy.
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</h5>""", unsafe_allow_html=True)
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st.markdown("<br>", unsafe_allow_html=True)
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# Hands-on Model Page
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