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Update pages/4_Levels of Measurement.py

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  1. pages/4_Levels of Measurement.py +5 -5
pages/4_Levels of Measurement.py CHANGED
@@ -20,12 +20,12 @@ st.markdown('''
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  st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/W91oswY8u0lS-BE0kkk-V.png")
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  st.subheader("1.Nominal Data",divider="red")
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  multi = '''Nominal data is categorical and represent distinct categories . Data don't have any quantitative value or order or ranking
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- Data at this level is qualitative and lack any inherent order or ranking.
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- It is only categorized data.
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- Ex- types of animals (dog, cat, bird) and Gender (male and female).
 
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  Measures of central tendency performed are frequency and mode
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- Mathematical operations performed are ** ==, != ** '''
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- st.markdown(multi)
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  st.subheader("2.Ordinal Data",divider="red")
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  multi = '''Ordinal data is categorical data and represent distinct categories which have an inherent order or ranking among the categories.
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  The intervals between the categories are not necessarily equal as the order matters, but the difference between values is not consistent or meaningful.
 
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  st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/W91oswY8u0lS-BE0kkk-V.png")
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  st.subheader("1.Nominal Data",divider="red")
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  multi = '''Nominal data is categorical and represent distinct categories . Data don't have any quantitative value or order or ranking
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+ Data at this level is qualitative and lack any inherent order or ranking..
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+ Ex- types of animals (dog, cat, bird) and Gender (male and female).'''
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+ st.markdown(multi)
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+ st.columns(It is only categorized data.
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  Measures of central tendency performed are frequency and mode
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+ Mathematical operations performed are ** ==, != ** )
 
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  st.subheader("2.Ordinal Data",divider="red")
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  multi = '''Ordinal data is categorical data and represent distinct categories which have an inherent order or ranking among the categories.
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  The intervals between the categories are not necessarily equal as the order matters, but the difference between values is not consistent or meaningful.