Update pages/Data Collection.py

pages/Data Collection.py

@@ -61,12 +61,7 @@ def excel_details_page():
 def csv_details_page():
     import streamlit as st
 
-# Set the page title
-st.set_page_config(page_title="Semi-Structured Data Handling Guide", page_icon="📄")
-
 # App header
-st.title("Semi-Structured Data Handling Guide")
-st.subheader("Learn how to manage semi-structured data (like CSV files) efficiently in Python")
 
 # Create a button
 if st.button("Semi-Structured Data"):
@@ -115,7 +110,6 @@ print(df.head())
 
     # Code example for handling parse errors
     st.code("""
-import pandas as pd
 
 # Skip bad lines
 df = pd.read_csv("file.csv", on_bad_lines="skip")
@@ -135,7 +129,6 @@ df = pd.read_csv("file.csv", on_bad_lines="warn")
 
     # Code example for trying multiple encodings
     st.code("""
-import pandas as pd
 import encodings
 
 # Get all encodings
@@ -162,7 +155,6 @@ for encoding in encodings_list:
 
     # Code example for handling large files
     st.code("""
-import pandas as pd
 
 chunk_size = 100
 chunks = pd.read_csv("large_file.csv", chunksize=chunk_size)
@@ -180,14 +172,13 @@ for i, chunk in enumerate(chunks):
     </ul>
     """, unsafe_allow_html=True)
 
+ # Button to go back to the main page
+    if st.button("Back to Home"):
+        st.session_state['page'] = "home"
+
 
 # Main page function
 def main_page():
-    st.title("Welcome to the Data Handling Guide")
-
-    # Introduction to data
-    st.write("Explore handling Structured and Semi-Structured Data using Python.")
-
     # Buttons for navigation
     if st.button("Go to Structured Data - Excel"):
         st.session_state['page'] = "excel_details"