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Update pages/Data Collection.py
Browse files- pages/Data Collection.py +24 -27
pages/Data Collection.py
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@@ -6,6 +6,7 @@ st.set_page_config(
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page_icon="🚀",
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layout="wide"
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)
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# Global CSS for consistent styling across all pages
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st.markdown("""
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<style>
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@@ -38,6 +39,7 @@ st.markdown(
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""",
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unsafe_allow_html=True
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)
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# Page Title
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st.markdown("""
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<div style="text-align: left; margin-top: 20px;">
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@@ -99,18 +101,26 @@ if data_type == "Structured Data":
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"Gender": ["Female", "Female", "Male", "Female"]
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}
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df = pd.DataFrame(student_data)
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st.
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# Data Formats in Structured Data
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st.write("""
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**Data Formats
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- **Excel**: Widely used for tabular data, calculations, and data visualization.
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""")
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# Button to Explore Excel
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if st.button("Explore Excel"):
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st.write("
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# Add functionality to redirect or display additional details here
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# Unstructured Data Section
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elif data_type == "Unstructured Data":
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@@ -143,32 +153,19 @@ elif data_type == "Unstructured Data":
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- **Text**: Emails, social media posts, and blog articles.
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""")
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st.write("""
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**Data Formats
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- **Images**: Formats like JPEG, PNG, BMP, and TIFF.
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- **Audio**: Formats like MP3, WAV, and FLAC.
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- **Videos**: Formats like MP4, AVI, and MKV.
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- **Text**: Formats like TXT, LOG, and DOCX.
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""")
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# Explore Formats
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if st.button("Explore Unstructured Data"):
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st.write("
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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if st.button("Images"):
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st.write("Images are often used in computer vision tasks. Common formats: JPEG, PNG.")
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-
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with col2:
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if st.button("Audio"):
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st.write("Audio files represent sound data. Common formats: MP3, WAV.")
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with col3:
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if st.button("Video"):
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st.write("Video files combine visual and audio data. Common formats: MP4, AVI.")
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-
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with col4:
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if st.button("Text"):
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st.write("Text data includes raw documents like emails or logs. Common formats: TXT, DOCX.")
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page_icon="🚀",
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layout="wide"
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)
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+
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# Global CSS for consistent styling across all pages
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st.markdown("""
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<style>
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""",
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unsafe_allow_html=True
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)
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# Page Title
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st.markdown("""
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<div style="text-align: left; margin-top: 20px;">
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"Gender": ["Female", "Female", "Male", "Female"]
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}
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df = pd.DataFrame(student_data)
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st.markdown(df.style.set_table_styles(
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[{
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'selector': 'thead th',
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'props': 'font-weight: bold;'
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}]
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).hide(axis="index").to_html(), unsafe_allow_html=True)
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st.markdown("""
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<div style="text-align: left; margin-top: 20px;">
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<h4 style="color: #5b2c6f;">Data Formats in Structured Data:</h4>
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</div>
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""", unsafe_allow_html=True)
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st.write("""
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**Data Formats:**
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- **Excel**: Widely used for tabular data, calculations, and data visualization.
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""")
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if st.button("Explore Excel"):
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st.write("You clicked the Excel button!")
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# Unstructured Data Section
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elif data_type == "Unstructured Data":
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- **Text**: Emails, social media posts, and blog articles.
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""")
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st.markdown("""
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<div style="text-align: left; margin-top: 20px;">
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<h4 style="color: #5b2c6f;">Data Formats in Unstructured Data:</h4>
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</div>
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""", unsafe_allow_html=True)
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st.write("""
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**Data Formats:**
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- **Images**: Formats like JPEG, PNG, BMP, and TIFF.
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- **Audio**: Formats like MP3, WAV, and FLAC.
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- **Videos**: Formats like MP4, AVI, and MKV.
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- **Text**: Formats like TXT, LOG, and DOCX.
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""")
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if st.button("Explore Unstructured Data"):
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st.write("You clicked the Unstructured Data button!")
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