Update pages/5_Descriptive Statistics.py

pages/5_Descriptive Statistics.py

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+import streamlit as st
+st.title(":blue[DESCRIPTIVE STATISTICS]")
+st.caption("***Elevate Your Insights: The Allure of Descriptive Statistics***")
+
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/U57NME2YT_De7TsnyFPht.png")
+
+multi = '''Descriptive Statistics is a branch of statistics which summarizes or describes the entire collected data. 
+It focuses on presenting data in a meaningful way through measures and visualizations.
+Descriptive statistics are commonly used in many fields including business, economics to summarize large amounts of data and provide a clear and concise understanding of its key characteristics
+'''
+st.markdown(multi)
+st.markdown('''
+    Descriptive statistics are divided into 3 types based on measures:
+    
+    :violet[1. Measures of Central Tendency]
+    
+    :violet[2. Measures of Variability (Dispersion)]
+    
+    :violet[3. Distribution] ''')
+
+st.markdown(multi)
+
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/3yOxh1hYH8zxksyrYo5R7.png")
+
+st.header("1.Measures of Central Tendency",divider="red")
+st.markdown('''It is used for measuring central or average value of the data.
+This measure help to summarize a large data set by providing a single value that represents the "middle" or "central" point of the data distribution''')
+multi='''There are mainly 3 types of Measures of central tendency:'''
+st.markdown(multi)
+multi=''':red[1. Mean]'''
+st.markdown(multi)
+multi=''':red[2. Median]'''
+st.markdown(multi)
+multi=''':red[3. Mode]'''
+st.markdown(multi)
+
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/uFpmO9i5sXkOK4gwl3By-.png")
+
+st.subheader("1.Mean",divider="green")
+multi = '''Mean is one of the best central tendency measure used to find the central value.
+It uses all the observations of the data so that we can get accurate central data point.
+Mean is calculated by summing all the data points and dividing by the number of data points.'''
+st.markdown(multi)
+
+st.latex(r'''
+\text{Mean} = \frac{\sum_{i=1}^{n} x_i}{n}
+''')
+
+multi = '''
+    There are 3 types of :
+    
+    :violet[1. Arithemetic mean]
+    
+    :violet[2. Geometric mean]
+    
+    :violet[3. Harmonic mean]'''
+st.markdown(multi)
+st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/UZDbaPifn2kfsYA5NlSNw.png")
+