Data_Analysis / app.py
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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: #d63384;
font-family: 'Roboto', sans-serif;
font-weight: 700;
text-align: center;
margin-bottom: 25px;
}
/* Style for headers */
h2 {
color: #1f77b4;
font-family: 'Roboto', sans-serif;
font-weight: 600;
margin-top: 30px;
}
/* Style for subheaders */
.custom-subheader {
color: #2ca02c;
font-family: 'Roboto', sans-serif;
font-weight: 600;
margin-bottom: 15px;
}
/* Paragraph styling */
p {
font-family: 'Georgia', serif;
line-height: 1.8;
color: #F0FFF0; /* 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;
}
</style>
""", unsafe_allow_html=True)
st.title("INTRODUCTION TO DATA ANALYSIS")
st.header("What does the term data refers to?",unsafe_allow_html=True)
st.subheader("Data",unsafe_allow_html=True)