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Update pages/4_Data and types of data.py
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pages/4_Data and types of data.py
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| 1 |
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import streamlit as st
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import pandas as pd
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st.markdown("""
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<style>
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| 6 |
+
/* General body styling */
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| 7 |
+
body {
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| 8 |
+
background-color: #1e1e2f; /* Soft dark background */
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| 9 |
+
color: #d4d4dc; /* Light gray text for readability */
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| 10 |
+
font-family: 'Arial', sans-serif;
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| 11 |
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}
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| 12 |
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/* Main title styling */
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| 14 |
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h1 {
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color: #ff6f61; /* Vibrant coral for attention */
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| 16 |
+
font-family: 'Roboto', sans-serif;
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| 17 |
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font-size: 2.5em;
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font-weight: bold;
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text-align: center;
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margin: 20px 0;
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}
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+
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/* Subheading styling */
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| 24 |
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h2, h3 {
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font-family: 'Roboto', sans-serif;
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color: #61dafb; /* Soft blue for headers */
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margin-top: 20px;
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margin-bottom: 15px;
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}
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h2 {
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font-size: 2em;
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font-weight: 600;
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}
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h3 {
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font-size: 1.6em;
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font-weight: 500;
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}
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/* Paragraph styling */
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p {
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font-family: 'Georgia', serif;
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line-height: 1.8;
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font-size: 1.1em;
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color: #e6e6fa; /* Soft lavender for readability */
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margin-bottom: 20px;
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}
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/* List styling */
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ul.icon-bullet {
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list-style-type: none;
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padding-left: 20px;
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}
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ul.icon-bullet li {
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font-size: 1.1em;
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margin-bottom: 10px;
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color: #dcdcdc; /* Neutral gray for subtlety */
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}
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ul.icon-bullet li::before {
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content: "\2714"; /* Checkmark */
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padding-right: 10px;
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color: #32cd32; /* Bright green for positivity */
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}
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/* Sidebar styling */
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.sidebar .sidebar-content {
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background-color: #282c34; /* Dark slate for sidebar */
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border-radius: 10px;
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padding: 15px;
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color: #ffffff; /* Light text for contrast */
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}
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.sidebar h2 {
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color: #ffa500; /* Warm orange for headings */
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font-family: 'Roboto', sans-serif;
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}
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/* Button styling */
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button {
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background-color: #ff6f61; /* Vibrant coral */
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color: #ffffff; /* White text */
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font-size: 1em;
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border: none;
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padding: 10px 20px;
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border-radius: 5px;
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cursor: pointer;
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transition: background-color 0.3s;
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}
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button:hover {
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background-color: #ff4500; /* Slightly darker coral */
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}
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/* Mobile responsive styling */
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@media only screen and (max-width: 600px) {
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h1 {
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font-size: 1.8em;
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}
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h2, h3 {
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font-size: 1.5em;
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}
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p {
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font-size: 1em;
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}
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}
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</style>
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""", unsafe_allow_html=True)
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st.title("DATA")
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st.subheader("What is data?...")
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st.markdown("""
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Data refers to a collection of information gathered from various sources
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""", unsafe_allow_html=True)
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st.header("Data Classification")
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st.subheader("Structured Data")
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st.markdown("""
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Structured data is organized and formatted data stored in a defined schema, such as rows and columns in tables, making it easily searchable and analyzable.Examples:
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<ul class="icon-bullet">
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<li>Excel</li>
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<li>SQL</li>
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</ul>
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""", unsafe_allow_html=True)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/uZB2ExnzTIiWGNSL8Eiro.png",width=300)
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st.subheader("Unstructured Data")
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st.markdown("""
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Unstructured data is information that lacks a predefined format or organization. Examples :
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<ul class="icon-bullet">
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<li>Images</li>
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<li>Videos</li>
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<li>Text</li>
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<li>Audio</li>
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</ul>
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""", unsafe_allow_html=True)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/xzk_q2DIqS3Bgy6PoUrpU.png",width=300)
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st.subheader("Semi-Structured Data")
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st.markdown("""
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Semi-structured data is a type of data that doesn't conform to a strict schema but has organizational properties, such as tags or markers, to separate elements. Examples :
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<ul class="icon-bullet">
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<li>CSV /li>
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<li>JSON </li>
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<li>HTML </li>
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<li>XML</li>
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</ul>
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""", unsafe_allow_html=True)
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st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/qtBtX6rKojcNx8Z_h9SRS.png",width=300)
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