Update app.py

app.py

@@ -216,10 +216,20 @@ elif st.session_state.current_page == "Simple EDA":
     missing_values = data.isna().sum().reset_index()
     missing_values.columns = ["Column Name", "Missing Values"]
     
-    st.dataframe(missing_values) 
+    col1, col2, col3 = st.columns([1, 2, 1])
+
+    with col2:  
+        st.dataframe(missing_values)
 
     st.markdown("<br>", unsafe_allow_html=True)
 
+    # Display missing values count
+    st.markdown("<h3 class='subtitle' style='text-align: center;'>Data Description</h3>", unsafe_allow_html=True)
+    
+    st.dataframe(data.describe()) 
+
+    st.markdown("<br>", unsafe_allow_html=True)
+    
 
     if st.button("🔙 Go Back to Model Report"):
         switch_page("Model Report")    
@@ -274,103 +284,3 @@ elif st.session_state.current_page == "Hands-on Model":
 
     if st.button("⬅ **Back to Model Report**"):
         switch_page("Model Report")
-
-
-
-
-# import streamlit as st
-# import numpy as np
-# import pickle
-
-# model = pickle.load(open("life_expectancy_model.pkl", "rb"))
-
-# st.set_page_config(
-#     page_title="Life Expectancy Prediction",
-#     page_icon="📊",
-#     layout="centered",
-# )
-
-# st.markdown("""
-#     <style>
-#         .stApp {
-#             background-color: #E3F2FD;  /* Soft blue background */
-#         }
-#         .title {
-#             text-align: center;
-#             font-size: 32px;
-#             font-weight: bold;
-#             color: #2C3E50;
-#         }
-#         .stButton > button {
-#             width: 100%;
-#             background-color: #1E88E5;
-#             color: white;
-#             font-size: 16px;
-#             border-radius: 6px;
-#         }
-#         .result-box {
-#             text-align: center;
-#             font-size: 22px;
-#             font-weight: bold;
-#             color: white;
-#             padding: 15px;
-#             border-radius: 8px;
-#             margin-top: 20px;
-#             background-color: #388E3C; /* Green */
-#         }
-#         .section-title {
-#             font-size: 20px;
-#             font-weight: bold;
-#             color: #1E88E5;
-#             margin-top: 20px;
-#         }
-#     </style>
-# """, unsafe_allow_html=True)
-
-# st.markdown("<h1 class='title'>Life Expectancy Prediction</h1>", unsafe_allow_html=True)
-
-# col1, col2 = st.columns(2)
-
-# with col1:
-#     year = st.slider("Year", 2000, 2015, 2008)
-#     status = st.radio("Status", ["Developing", "Developed"], horizontal=True)
-#     status = 1 if status == "Developed" else 0
-#     adult_mortality = st.slider("Adult Mortality Rate", 1, 723, 144)
-#     infant_deaths = st.slider("Infant Deaths", 0, 1800, 3)
-#     alcohol = st.slider("Alcohol Consumption", 0.01, 17.87, 4.55)
-#     percentage_expenditure = st.slider("Percentage Expenditure", 0.0, 19479.91, 738.25)
-#     hepatitis_b = st.slider("Hepatitis B Immunization (%)", 1, 99, 83)
-#     measles = st.slider("Measles Cases", 0, 212183, 2419)
-#     bmi = st.slider("BMI", 1.0, 87.3, 38.3)
-#     polio = st.slider("Polio Immunization (%)", 3, 99, 82)
-
-# with col2:
-#     under_five_deaths = st.slider("Under-Five Deaths", 0, 2500, 4)
-#     total_expenditure = st.slider("Total Healthcare Expenditure (%)", 0.37, 17.6, 5.92)
-#     diphtheria = st.slider("Diphtheria Immunization (%)", 2, 99, 82)
-#     hiv_aids = st.slider("HIV/AIDS Prevalence Rate", 0.1, 50.6, 1.74)
-#     gdp = st.slider("GDP per Capita", 1.68, 119172.7, 6611.52)
-#     population = st.slider("Population", 34, 1293859000, 10230850)
-#     thinness_1_19 = st.slider("Thinness 1-19 years (%)", 0.1, 27.7, 4.83)
-#     thinness_5_9 = st.slider("Thinness 5-9 years (%)", 0.1, 28.6, 4.86)
-#     income_composition = st.slider("Income Composition of Resources", 0.0, 0.948, 0.63)
-#     schooling = st.slider("Schooling (Years)", 0.0, 20.7, 11.99)
-
-# if st.button("Predict Life Expectancy"):
-#     features = np.array([[year, status, adult_mortality, infant_deaths, alcohol, percentage_expenditure,
-#                           hepatitis_b, measles, bmi, under_five_deaths, polio, total_expenditure,
-#                           diphtheria, hiv_aids, gdp, population, thinness_1_19, thinness_5_9,
-#                           income_composition, schooling]])
-    
-#     prediction = model.predict(features)[0]
-
-#     st.markdown(
-#         f"""
-#         <div class="result-box">
-#             Predicted Life Expectancy: <b>{prediction:.2f} years</b>
-#         </div>
-#         """,
-#         unsafe_allow_html=True,
-#     )
-
-