Update pages/2_Data_CLeaning_and_Preprocessing.py

pages/2_Data_CLeaning_and_Preprocessing.py

@@ -26,7 +26,7 @@ if uploaded_file is not None:
             data = pd.read_csv(uploaded_file)
             st.session_state['df'] = data  # Store the data for use in other pages
             st.success("Dataset uploaded successfully!")
-            
+
             # Show Data Preview
             st.write("### Preview of Dataset")
             st.dataframe(data.head())
@@ -49,14 +49,14 @@ if uploaded_file is not None:
                 st.write("### Histograms for Numeric Columns")
                 for col in numeric_columns:
                     fig, ax = plt.subplots()
-                    sns.histplot(data[col], kde=True, ax=ax)
+                    sns.histplot(data[col], kde=True, palette="crest", ax=ax)
                     ax.set_title(f'Histogram of {col}')
                     st.pyplot(fig)
 
                 st.write("### Boxplots for Numeric Columns")
                 for col in numeric_columns:
                     fig, ax = plt.subplots()
-                    sns.boxplot(x=data[col], ax=ax)
+                    sns.boxplot(x=data[col], palette="mako", ax=ax)
                     ax.set_title(f'Boxplot of {col}')
                     st.pyplot(fig)
             else:
@@ -72,7 +72,7 @@ if uploaded_file is not None:
                 st.write(data[selected_cat_col].value_counts())
                 
                 fig, ax = plt.subplots()
-                sns.countplot(x=selected_cat_col, data=data, ax=ax)
+                sns.countplot(x=selected_cat_col, data=data, palette="viridis", ax=ax)
                 ax.set_title(f'Bar Plot of {selected_cat_col}')
                 st.pyplot(fig)
             else:
@@ -103,11 +103,11 @@ if uploaded_file is not None:
             if 'Category' in data.columns:
                 st.write("### Bar Plot for Category")
                 fig, ax = plt.subplots()
-                sns.countplot(x='Category', data=data, palette='viridis', ax=ax)
+                sns.countplot(x='Category', data=data, palette='plasma', ax=ax)
                 st.pyplot(fig)
             else:
                 st.warning("'Category' column not found for plotting.")
-            
+
             # Binning of age column
             bins = [0, 18, 35, 50, 65, 100]
             labels = ['Child', 'Young Adult', 'Adult', 'Middle Aged', 'Senior']