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Update pages/Data_Collection.py
Browse files- pages/Data_Collection.py +13 -30
pages/Data_Collection.py
CHANGED
@@ -90,37 +90,20 @@ st.markdown(
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# Add buttons for each data type
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st.markdown("<h3 style='text-align: left; color: Black;'>Structured Data Formats</h3>", unsafe_allow_html=True)
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if st.button("Excel"):
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st.
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st.switch_page("excel_Files.py")
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if st.button("CSV"):
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"
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unsafe_allow_html=True
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if st.button("SQL
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"
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)
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if st.button("Learn More About Unstructured Data"):
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st.markdown(
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"<p style='font-size: 16px; color: White;'>Unstructured data includes multimedia files, text documents, and other formats that lack a predefined schema. Examples are images, videos, and free-text files.</p>",
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unsafe_allow_html=True
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)
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if st.button("Learn More About Semi-Structured Data"):
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st.markdown(
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"<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>",
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unsafe_allow_html=True
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)
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# Add buttons for each data type
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# Buttons for each stage
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st.markdown("### Types of structured data:")
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col1 = st.columns(2)
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with col1:
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if st.button("Excel"):
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st.switch_page("pages/excel_Files.py")
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display_lifecycle_stage(
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"Excel is a spreadsheet format used to organize data into rows and columns. It supports formulas, charts, and more"
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)
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if st.button("CSV"):
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display_lifecycle_stage(
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"(Comma-Separated Values) is a plain text format where each row represents a record, and fields are separated by commas".
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if st.button("SQL"):
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display_lifecycle_stage(
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"SQL Databases store structured data in tables and allow querying using SQL (Structured Query Language)"
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)
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