Update pages/Data Collection.py

pages/Data Collection.py

@@ -269,14 +269,175 @@ if st.session_state.current_page == "main":
 
 # Pages for Each Format
 elif st.session_state.current_page == "explore_excel":
+    # Section about Excel
     st.markdown("""
-        <h3 style="color: #e25822;">Exploring Excel</h3>
+        <h2 style="color: #BB3385;">Excel</h2>
     """, unsafe_allow_html=True)
+    
     st.write("""
-    Excel is a structured data format used to store and analyze data in tabular form. It supports features like formulas, charts, and pivot tables.
+    - **Excel** is a powerful spreadsheet software developed by Microsoft.
+    - It is widely used for:
+        - Data organization
+        - Analysis
+        - Visualization
+    - Key features include:
+        - Storing data in tabular format
+        - Performing complex calculations
+        - Creating charts
+        - Applying various data manipulation techniques
+    - Excel is an essential tool for managing and analyzing structured data in various industries.
     """)
-    if st.button("Go Back"):
-        navigate_to("main")
+
+    st.markdown("""
+    <h3 style="color: #5b2c6f;">Reading Excel Files in Python</h3>
+    """, unsafe_allow_html=True)
+    
+    # Code example
+    st.code("""
+    import pandas as pd
+    
+    # Read the Excel file
+    data = pd.read_excel('path_to_file.xlsx')
+
+    print(data.head()) # displays first 5 rows in excel file
+    """, language="python") 
+
+    st.write("### Working with Sheets in Excel")
+    
+    # Importing a Single Sheet
+    st.write("#### Importing a Single Excel Sheet")
+    st.code("""
+    df = pd.read_excel('path_to_file.xlsx', sheet_name=0)
+    print(df)
+    """, language="python")
+    
+    # Importing Multiple Sheets
+    st.write("#### Importing Multiple Sheets from Excel")
+    st.code("""
+    df_dict = pd.read_excel('path_to_file.xlsx', sheet_name=[0, 1, 2])
+    for sheet, data in df_dict.items():
+        print(f"Sheet: {sheet}")
+        print(data.head())
+    """, language="python")
+
+    st.write("### Exporting Data to Excel Files")
+    
+    # Exporting a Single DataFrame to Excel
+    st.write("#### Exporting a Single DataFrame")
+    st.code("""
+    data = pd.DataFrame({
+        'name': ['a', 'b', 'c', 'd'],
+        'age': [12, 23, 44, 43]
+    })
+    
+    # Export the DataFrame to an Excel file
+    data.to_excel('single_sheet_output.xlsx', index=False)
+    """, language="python")
+    
+    # Exporting Multiple DataFrames to Multiple Sheets
+    st.write("#### Exporting Multiple DataFrames to Different Sheets")
+    st.code("""
+    data1 = pd.DataFrame({
+        'name': ['a', 'b', 'c', 'd'],
+        'age': [12, 23, 44, 43]
+    })
+    
+    data2 = pd.DataFrame({
+        'maths': [43, 32, 45, 45],
+        'science': [32, 54, 45, 13]
+    })
+    
+    data3 = pd.DataFrame({
+        'hindi': [32, 45, 53, 53],
+        'english': [53, 32, 24, 65]
+    })
+    
+    # Export multiple DataFrames to an Excel file with multiple sheets
+    with pd.ExcelWriter('multi_sheet_output.xlsx') as writer:
+        data1.to_excel(writer, sheet_name='Personal Info', index=False)
+        data2.to_excel(writer, sheet_name='Academic Scores', index=False)
+        data3.to_excel(writer, sheet_name='Language Scores', index=False)
+    """, language="python")
+
+    st.write("### Common Issues with Excel Files")
+
+    # 1. File Format Compatibility
+    st.write("#### 1. File Format Compatibility")
+    st.write("Excel files may come in different formats like `.xls` and `.xlsx`, which can lead to compatibility issues.")
+    st.code("""
+    data = pd.read_excel('file.xls', engine='xlrd')  # For .xls files
+    data = pd.read_excel('file.xlsx', engine='openpyxl')  # For .xlsx files
+    print(data.head())
+    """, language="python")
+    
+    # 2. Encoding Issues
+    st.write("#### 2. Encoding Issues")
+    st.write("Sometimes Excel files might have special characters that cause encoding problems.")
+    st.code("""
+    data = pd.read_excel('file.xlsx', encoding='utf-8')  # Replace with the correct encoding
+    print(data.head())
+    """, language="python")
+    
+    # 3. Missing or Incomplete Data
+    st.write("#### 3. Missing or Incomplete Data")
+    st.write("Missing values can lead to errors during data processing.")
+    st.code("""
+    data = pd.read_excel('file.xlsx')
+    data.fillna(0, inplace=True)  # Replace NaN values with 0 or other defaults
+    print(data.head())
+    """, language="python")
+    
+    # 4. Large File Sizes
+    st.write("#### 4. Large File Sizes")
+    st.write("Large Excel files may cause performance issues or run out of memory.")
+    st.code("""
+    chunk_size = 1000
+    for chunk in pd.read_excel('large_file.xlsx', chunksize=chunk_size):
+        print(chunk.head())
+    """, language="python")
+    
+    # 5. Sheet Name Selection
+    st.write("#### 5. Sheet Name Selection")
+    st.write("Excel files may have multiple sheets, and reading the wrong one can lead to incorrect analysis.")
+    st.code("""
+    data = pd.read_excel('file.xlsx', sheet_name='Sheet1')
+    print(data.head())
+    """, language="python")
+    
+    # 6. Data Type Conversion
+    st.write("#### 6. Data Type Conversion")
+    st.write("Excel files may have columns with inconsistent or incorrect data types.")
+    st.code("""
+    data = pd.read_excel('file.xlsx')
+    data['column_name'] = data['column_name'].astype(int)
+    print(data.dtypes)
+    """, language="python")
+
+    
+    # 8. Merged Cells
+    st.write("#### 7. Merged Cells")
+    st.write("Merged cells in Excel can lead to missing or misaligned data.")
+    st.code("""
+    data = pd.read_excel('file.xlsx', merge_cells=False)
+    print(data.head())
+    """, language="python")
+
+    
+    # 10. Date Parsing
+    st.write("#### 8. Date Parsing")
+    st.write("Dates in Excel files may not be interpreted correctly.")
+    st.code("""
+    data = pd.read_excel('file.xlsx', parse_dates=['date_column'])
+    print(data.dtypes)
+    """, language="python")
+
+    col1 = st.columns(1)
+    
+    with col1:
+        if st.button("⬅️ Back to Previous Page"):
+            navigate_to("main")
+
+    
 
 elif st.session_state.current_page == "explore_images_video":
     st.markdown("""