Update pages/2Simple_EDA.py

pages/2Simple_EDA.py

@@ -19,21 +19,24 @@ if "df" in st.session_state and st.session_state.df is not None:
     st.dataframe(df.head())
     
     # Shape of the Data
-    st.markdown("<h3 style='color: #843f5b;'>Dataset Shape📏</h3>", unsafe_allow_html=True)
+    st.markdown("<h3 style='color: #843f5b;'>Dataset Shape</h3>", unsafe_allow_html=True)
     st.write(f"🔹 The dataset contains **{df.shape[0]} rows** and **{df.shape[1]} columns**.")
     
     # Column Names & Data Types
-    st.markdown("<h3 style='color: #e25822;'>Column Names & Data Types🛠</h3>", unsafe_allow_html=True)
+    st.markdown("<h3 style='color: #e25822;'>Column Names & Data Types</h3>", unsafe_allow_html=True)
     st.write(df.dtypes)
 
     # 📝 Dataset Information (Equivalent to df.info())
-    st.markdown("<h2 style='color: #9400d3;'>📝 Dataset Information</h2>", unsafe_allow_html=True)
+    st.markdown("<h3 style='color: #9400d3;'>Dataset Information📝</h3>", unsafe_allow_html=True)
     
     buffer = io.StringIO()
     df.info(buf=buffer)
     info_str = buffer.getvalue()
     st.text(info_str)
 
+    st.markdown(f"<pre style='background-color: #f8f8f8; padding: 10px; border-radius: 5px; font-size: 14px; font-family: monospace;'>{info_str}</pre>", unsafe_allow_html=True)
+
+
     # Numerical and categorical Columns
     st.markdown("<h3 style='color: #9400d3;'>Numerical and Categorical Columns</h3>", unsafe_allow_html=True)
     
@@ -84,6 +87,7 @@ if "df" in st.session_state and st.session_state.df is not None:
     if missing_values.sum() == 0:
         st.success("No missing values found!")
     else:
+        st.warning(f"Found missing values in the dataset.")
         st.write("🔹 **Columns with Missing Values:**")
         st.write(missing_values[missing_values > 0])
 
@@ -99,7 +103,7 @@ if "df" in st.session_state and st.session_state.df is not None:
         st.dataframe(df[df.duplicated()].head())
 
     # 📊 Outlier Detection
-    st.markdown("<h3 style='color: #e25822;'>📉 Outlier Detection in Numerical Columns</h3>", unsafe_allow_html=True)
+    st.markdown("<h3 style='color: #e25822;'>Outlier Detection</h3>", unsafe_allow_html=True)
     
     if numerical_cols:
         outlier_info = {}
@@ -116,13 +120,13 @@ if "df" in st.session_state and st.session_state.df is not None:
                 outlier_info[col] = outliers
     
         if outlier_info:
-            st.warning("⚠️ Outliers detected in the following numerical columns:")
+            st.warning("Outliers detected:")
             for col, count in outlier_info.items():
                 st.write(f"🔹 **{col}:** {count} outliers")
         else:
-            st.success("✅ No significant outliers detected!")
+            st.success("No significant outliers detected!")
     else:
-        st.info("ℹ️ No numerical columns detected.")
+        st.info("No numerical columns detectedℹ️.")
 
 
 else: