Update app.py

app.py

@@ -72,6 +72,9 @@ if st.sidebar.button("Model Report"):
 if st.sidebar.button("Hands-on Model"):
     switch_page("Hands-on Model")
 
+## Importing Data
+data = pd.read_csv(" Life Expectancy Data.csv")    
+
 # Model Report Page
 if st.session_state.current_page == "Model Report":
     st.markdown("<h1 class='title'>Model Report</h1>", unsafe_allow_html=True)
@@ -183,7 +186,40 @@ elif st.session_state.current_page == "Data Collection":
 
     if st.button("🔙 Go Back to Model Report"):
         switch_page("Model Report")
+
+       
+        
+elif st.session_state.current_page == "Simple EDA":
+    st.markdown("<h1 class='title'>Simple Exploratory Data Analysis</h1>", unsafe_allow_html=True)
+
+    st.markdown("""
+        <h5 style="text-align: center; margin-top: 20px;">
+            Exploratory Data Analysis (EDA) helps in understanding the structure, patterns, and missing values in the dataset.
+            Below is an initial preview of the data, followed by a missing values summary.
+        </h5>
+    """, unsafe_allow_html=True)
+
+    st.markdown("<br>", unsafe_allow_html=True)
+
+    # Display dataset sample
+    st.markdown("<h3 class='subtitle' style='text-align: center;'>Sample Dataset</h3>", unsafe_allow_html=True)
+    st.dataframe(data.head()) 
+
+    st.markdown("<br>", unsafe_allow_html=True)
+
+    # Display missing values count
+    st.markdown("<h3 class='subtitle' style='text-align: center;'>Missing Values Summary</h3>", unsafe_allow_html=True)
+    
+    missing_values = data.isna().sum().reset_index()
+    missing_values.columns = ["Column Name", "Missing Values"]
     
+    st.dataframe(missing_values) 
+
+    st.markdown("<br>", unsafe_allow_html=True)
+
+
+    if st.button("🔙 Go Back to Model Report"):
+        switch_page("Model Report")    
 
 # Hands-on Model Page
 elif st.session_state.current_page == "Hands-on Model":