Update pages/5_Structured_data.py

pages/5_Structured_data.py

@@ -71,15 +71,52 @@ st.markdown(
     """, unsafe_allow_html=True)
 
 st.title("📂Handling Excel files📂")
-st.markdown("Excel is a powerful spreadsheet application used for data analysis, visualization, and performing calculations with a grid of cells organized in rows and columns.")
-st.subheader("How to read excel files?..📃")
-rcode = '''
-df = pd.read_excel(r"C:\Users\Harika\Downloads\f12.xlsx")
-'''
-st.code(rcode, language="python")
+st.markdown(''' - Excel is a widely used software application for organizing, 
+                storing, and analyzing data in tabular format. 
+            
+- It is a spreadsheet tool that allows users to work with rows, columns, and cells to manage numerical or textual data. 
+- Excel files are typically saved with extensions like .xls or .xlsx.''')
 
-st.subheader("📑How to read an excel files with multiple sheets?...")
-mcode = '''
-df = pd.read_excel(r"C:\Users\Harika\Downloads\hari.xlsx",sheet_name=[0, 1, 2])
-'''
-st.code(mcode, language="python")
+st.header('**How to Read These Files:**')
+st.subheader('''**Using Python Libraries:**''')
+st.code('''                
+            import pandas as pd
+            # Reading an Excel file
+            df = pd.read_excel('file.xlsx')
+            print(df.head())''')
+st.header('**Issues in Excel:**')
+st.markdown('''
+1. **File Format Issues:**
+- `.xls` and `.xlsx` are different formats.
+2. **Corrupted Files:**
+- Files may get corrupted during transfer or storage, making them unreadable.
+3. **Encoding Issues:**
+- Data with special characters or non-`UTF-8` encoding can cause errors.''')
+st.write('**Solution:**')
+st.code('''
+    df = pd.read_excel('file.xlsx', encoding='utf-8')
+        ''')
+st.markdown('''
+4. **Missing Values:**
+- Cells with missing or `NaN values` may disrupt data processing.''')
+st.write('**Solution:**')
+st.code('''
+    df.fillna(0, inplace=True)  
+    df.dropna(inplace=True) 
+        ''')
+st.markdown('''
+5. **Large File Size:**
+- Handling very large Excel files can result in memory issues.''')
+st.write('**Solution:**')
+st.code('''
+    chunks = pd.read_excel('large_file.xlsx', chunksize=10000)
+    for chunk in chunks:
+        print(chunk)
+        ''')
+st.markdown('''
+6. **Multiple Sheets:**
+- Huge files may have multiple sheets, making it harder to extract relevant data.''')
+st.write('**Solution:**')
+st.code('''
+    df = pd.read_excel('file.xlsx', sheet_name=[0,1,2])
+         ''')