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| import streamlit as st | |
| import pandas as pd | |
| st.markdown(""" | |
| <style> | |
| /* Set a soft background color */ | |
| body { | |
| background-color: #eef2f7; | |
| } | |
| /* Style for main title */ | |
| h1 { | |
| color: #00FFFF; | |
| font-family: 'Roboto', sans-serif; | |
| font-weight: 700; | |
| text-align: center; | |
| margin-bottom: 25px; | |
| } | |
| /* Style for headers */ | |
| h2 { | |
| color: #FFFACD; | |
| font-family: 'Roboto', sans-serif; | |
| font-weight: 600; | |
| margin-top: 30px; | |
| } | |
| /* Style for subheaders */ | |
| h3 { | |
| color: #ba95b0; | |
| font-family: 'Roboto', sans-serif; | |
| font-weight: 500; | |
| margin-top: 20px; | |
| } | |
| .custom-subheader { | |
| color: #00FFFF; | |
| font-family: 'Roboto', sans-serif; | |
| font-weight: 600; | |
| margin-bottom: 15px; | |
| } | |
| /* Paragraph styling */ | |
| p { | |
| font-family: 'Georgia', serif; | |
| line-height: 1.8; | |
| color: #FFFFFF; /* Darker text color for better visibility */ | |
| margin-bottom: 20px; | |
| } | |
| /* List styling with checkmark bullets */ | |
| .icon-bullet { | |
| list-style-type: none; | |
| padding-left: 20px; | |
| } | |
| .icon-bullet li { | |
| font-family: 'Georgia', serif; | |
| font-size: 1.1em; | |
| margin-bottom: 10px; | |
| color: #FFFFF0; /* Darker text color for better visibility */ | |
| } | |
| .icon-bullet li::before { | |
| content: "✔️"; | |
| padding-right: 10px; | |
| color: #17a2b8; | |
| } | |
| /* Sidebar styling */ | |
| .sidebar .sidebar-content { | |
| background-color: #ffffff; | |
| border-radius: 10px; | |
| padding: 15px; | |
| } | |
| .sidebar h2 { | |
| color: #495057; | |
| } | |
| /* Mobile specific styles */ | |
| @media only screen and (max-width: 600px) { | |
| .stApp { | |
| background-color: #070109; | |
| } | |
| h1, h2 { | |
| font-size: 18px; /* Adjust font size for mobile devices */ | |
| } | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| st.latex(r''' | |
| \textbf{\Huge Levels of Measurement} \\[15pt] | |
| \text{\huge \(\downarrow\)} \\[10pt] | |
| \begin{array}{l} | |
| \textbf{\Huge Measurement Levels} \\ | |
| \quad \text{\huge \(\Downarrow\)} \\[10pt] | |
| \quad \textbf{\underline{1. \Large Nominal Level}} \\ | |
| \quad \quad \text{\huge \(\downarrow\)} \\[5pt] | |
| \quad \quad \textbf{Categories} \quad \text{\small (e.g., Gender, Color)} \\[10pt] | |
| \quad \text{\huge \(\Downarrow\)} \\[10pt] | |
| \quad \textbf{\underline{2. \Large Ordinal Level}} \\ | |
| \quad \quad \text{\huge \(\downarrow\)} \\[5pt] | |
| \quad \quad \textbf{Rank Order} \quad \text{\small (e.g., Customer Satisfaction, Rankings)} \\[10pt] | |
| \quad \text{\huge \(\Downarrow\)} \\[10pt] | |
| \quad \textbf{\underline{3. \Large Interval Level}} \\ | |
| \quad \quad \text{\huge \(\downarrow\)} \\[5pt] | |
| \quad \quad \textbf{Equal Intervals} \quad \text{\small (e.g., Temperature, IQ Scores)} \\[10pt] | |
| \quad \text{\huge \(\Downarrow\)} \\[10pt] | |
| \quad \textbf{\underline{4. \Large Ratio Level}} \\ | |
| \quad \quad \text{\huge \(\downarrow\)} \\[5pt] | |
| \quad \quad \textbf{Absolute Zero} \quad \text{\small (e.g., Height, Weight, Age)} \\[5pt] | |
| \end{array} | |
| ''') | |
| st.subheader("Nominal Level") | |
| st.markdown("""The **nominal level** of measurement categorizes data without any order or ranking, such as gender or colors. | |
| """,unsafe_allow_html=True) | |
| st.markdown(""" | |
| For **nominal data**, only **equality operators** (e.g., `=`, `!=`) can be used. | |
| This is because nominal data categorizes items without any inherent order or numerical value, | |
| so you can only check if two values are the same or different. | |
| """,unsafe_allow_html=True) | |
| st.subheader("Ordinal Level") | |
| st.markdown(""" | |
| **Ordinal level** represents categories with a meaningful order, but the intervals between values are not consistent or meaningful. | |
| """,unsafe_allow_html=True) | |
| st.markdown(""" | |
| **Ordinal data** supports the use of comparison operators (e.g., greater than, less than) to determine the relative ranking or order of categories. | |
| """,unsafe_allow_html=True) | |
| st.subheader("Interval Level") | |
| st.markdown(""" | |
| **Interval level** data has ordered categories with equal intervals between values, but lacks a true zero point (e.g., temperature in Celsius). | |
| """,unsafe_allow_html=True) | |
| st.markdown(""" | |
| **Interval data** supports arithmetic operators (e.g., addition, subtraction) and comparison operators (e.g., greater than, less than) since it has equal intervals between values but no true zero point. | |
| """,unsafe_allow_html=True) | |
| st.subheader("Ratio Level") | |
| st.markdown(""" | |
| **Ratio level** data has ordered categories with equal intervals and a true zero point, allowing for meaningful ratios between values (e.g., height, weight). | |
| """,unsafe_allow_html=True) | |
| st.markdown(""" | |
| **Ratio data** supports all arithmetic operators (e.g., addition, subtraction, multiplication, division) and comparison operators (e.g., greater than, less than) due to its true zero point and meaningful ratios. | |
| """,unsafe_allow_html=True) |