Update pages/Data_Collection.py

pages/Data_Collection.py

@@ -97,11 +97,11 @@ if st.button("Learn More About Structured Data"):
     )
     st.markdown("<h3 style='text-align: left; color: Black;'>Structured Data Formats</h3>", unsafe_allow_html=True)
     if st.button("Excel"):
-        st.switch_page("pages/Info_of_excel_Files.py")
         st.markdown(
             "<p style='font-size: 16px; color: White;'>Excel is a spreadsheet format used to organize data into rows and columns. It supports formulas, charts, and more.</p>",
             unsafe_allow_html=True
         )
+        st.switch_page("excel_page")
     if st.button("CSV"):
         st.markdown(
             "<p style='font-size: 16px; color: White;'>CSV (Comma-Separated Values) is a plain text format where each row represents a record, and fields are separated by commas.</p>",
@@ -122,5 +122,5 @@ if st.button("Learn More About Unstructured Data"):
 if st.button("Learn More About Semi-Structured Data"):
     st.markdown(
         "<p style='font-size: 16px; color: White;'>Semi-structured data lies between structured and unstructured data. Formats like JSON, XML, and YAML are common examples of semi-structured data.</p>", 
-         unsafe_allow_html=True
-    )
+        unsafe_allow_html=True
+    )