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Update app.py
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app.py
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@@ -19,7 +19,7 @@ st.markdown("""This type of data will be having a effective or well organized
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format.\nThis type of data is aligned in terms of row’s and column’s. Some of the best example’s of
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structured data are given below.\n * EXCEL DOCUMENT \n * STRUCTURED QUERY LANGUAGE DATABASE
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""")
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st.subheader("**Unstructured Data**")
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st.markdown("""This type of data will not be having any effective or well
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organized format. This type of data doesn’t have any row’s and column’s. Some of the best
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@@ -29,4 +29,4 @@ st.subheader("**Semi Structured Data**")
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st.markdown("""This type of data can be called as combination of
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structured data as well as unstructured data. Some of the best examples of semi structured
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data are given below.\n * COMMA SEPERATED VARIABLE\n *JSON FILES\n * E-MAILS\n * HTML
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""")
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format.\nThis type of data is aligned in terms of row’s and column’s. Some of the best example’s of
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structured data are given below.\n * EXCEL DOCUMENT \n * STRUCTURED QUERY LANGUAGE DATABASE
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""")
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+

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st.subheader("**Unstructured Data**")
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st.markdown("""This type of data will not be having any effective or well
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organized format. This type of data doesn’t have any row’s and column’s. Some of the best
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st.markdown("""This type of data can be called as combination of
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structured data as well as unstructured data. Some of the best examples of semi structured
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data are given below.\n * COMMA SEPERATED VARIABLE\n *JSON FILES\n * E-MAILS\n * HTML
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""")e
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