Update pages/4_Levels of Measurement.py

pages/4_Levels of Measurement.py

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+import streamlit as st
+st.title(":blue[LEVELS OF MEASUREMENT]")
+st.caption("***The Foundation of Statistical Analysis***")
+st.markdown('''It is also known as scales of measurement which refers to the ways in data is categorized.
+Levels of measurement refer to the classification of data based on the nature of the information they represent and the types of operations that can be performed.
+Levels of measurement basically tells us how precisely you can record and collect the data''')
+st.markdown('''There are mainly four types of levels of measurements based on the variable these are categorized.They are:
+    
+    :green[1. Nominal]
+    
+    :green[2. Ordinal]
+    
+    :green[3. Interval]
+    
+    :green[4. Ratio]''')
+st.markdown(multi)
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/W91oswY8u0lS-BE0kkk-V.png")
+st.subheader("1.Nominal Data",divider="red")
+multi = '''Nominal data is categorical and represent distinct categories . Data don't have any quantitative value or order or ranking
+Data at this level is qualitative and lack any inherent order or ranking.
+It is only categorized data.
+Ex- types of animals (dog, cat, bird) and Gender (male and female)
+Measures of central tendency performed are frequency and mode
+Mathematical operations performed are ** ==, != ** '''
+st.markdown(multi)  
+st.subheader("2.Ordinal Data",divider="red")
+multi = '''Ordinal data is categorical data and represent distinct categories which have an inherent order or ranking among the categories.
+The intervals between the categories are not necessarily equal as the order matters, but the difference between values is not consistent or meaningful.
+It is categorized and ordered data.
+Ex- Economic Status - (poor, middle, high) here you can compare the relative order of categories but you cannot assume that the differences between them are equal or meaningful
+Measures of central tendency performed are  Frequency, mode, median(only for odd no.of elements), percentiles
+Mathematical operations performed are ** ==, !=, >, < **'''
+st.markdown(multi)
+st.subheader("3.Interval",divider="red")
+multi = '''Interval data is numeric and have equal intervals between values.
+They do not have a true zero point - zero doesn't indicate the absence of the measured quantity.
+It is categorized, ordered and have equal intervals.
+Ex- Temperature in Celsius or Fahrenheit - In interval data you can perform addition and subtraction operations but you cannot meaningfully calculate ratios (e.g., 20°C is not twice as hot as 10°C)
+Measures of central tendency performed are Mean(Arithmetic mean), mode, median
+Mathematical operations performed are ** ==, !=, >, <, +, - **'''
+st.markdown(multi)
+st.subheader("4.Ratio",divider="red")
+multi = '''Ratio data is numeric and have all the properties of interval data and a meaningful and absolute zero point.
+Zero in ratio data represents the complete absence of the measured quantity.
+It is categorized, ordered, have equal intervals and have true zero point.
+Ex- heught, age, income etc..,we can calculate meaningful ratios (e.g., someone with a height of 180 cm is twice as tall as someone with a height of 90 cm).
+Measures of central tendency performed are Mean(Arithmetic mean, Geometric mean, Harmonic mean), mode, median
+All mathematical operations are performed'''
+st.markdown(multi)
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/hlUBcfEK2beldv8OzLQUM.webp")