Data_Analysis / app.py
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Update 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: #070109;
}
/* 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: #b3b3ff;
}
/* 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.snow()
st.title("INTRODUCTION TO DATA ANALYSIS")
st.header("What does the term data refers to?")
st.subheader("Data")
st.markdown("""
Data refers to a collection of information gathered from various sources. Here are a few examples:
""", unsafe_allow_html=True)
st.markdown("""
<ul class="icon-bullet">
<li>Images</li>
<li>Text</li>
<li>Videos</li>
<li>Audio recordings</li>
</ul>
""",unsafe_allow_html=True)
st.image("https://cdn-uploads.huggingface.co/production/uploads/64c972774515835c4dadd754/qpmLGi47ucDCWYEi8eZhE.png",caption="An Example of Data",width=400)
st.header("What is Data Analysis?")
st.subheader("Data Analysis")
st.markdown("""Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making
based on the problem statement.This applied on various filed like business,science,health care etc""")
st.image("https://cdn-uploads.huggingface.co/production/uploads/64c972774515835c4dadd754/QMUIDv2eboPvohbRe2yua.png",caption="An Example of Data Analysis",width=400)
st.header("Data Classification")
st.subheader("Structured Data")
st.markdown("""
Structured data is organized and formatted, making it easy to search, analyze, and store in databases. Common examples include:
<ul class="icon-bullet">
<li>Excel Documents</li>
<li>SQL Databases</li>
</ul>
""", unsafe_allow_html=True)
st.image('https://cdn-uploads.huggingface.co/production/uploads/64c972774515835c4dadd754/dSbyOXaQ6N_Kg2TLxgEyt.png', width=400)
st.subheader("Unstructured Data")
st.markdown("""
Unstructured data doesn't follow a specific format and is often difficult to organize. Examples include:
<ul class="icon-bullet">
<li>Images</li>
<li>Videos</li>
<li>Text documents</li>
<li>Social Media Feeds</li>
</ul>
""", unsafe_allow_html=True)
st.image("https://cdn-uploads.huggingface.co/production/uploads/64c972774515835c4dadd754/xhaNBRanDaj8esumqo9hl.png", width=400)
st.subheader("Semi-Structured Data")
st.markdown("""
Semi-structured data contains elements of both structured and unstructured data. Examples include:
<ul class="icon-bullet">
<li>CSV Files</li>
<li>JSON Files</li>
<li>Emails</li>
<li>HTML Documents</li>
</ul>
""", unsafe_allow_html=True)
st.image("https://cdn-uploads.huggingface.co/production/uploads/64c972774515835c4dadd754/Nupc6BePInRVo9gJwLfWH.png", width=400)