File size: 4,503 Bytes
fb7da38
0958aee
fb7da38
 
0958aee
fb7da38
282e4c6
fb7da38
 
 
af5af82
fb7da38
 
 
 
 
 
 
275b05e
fb7da38
 
 
 
0958aee
fb7da38
0958aee
275b05e
7506a03
 
 
 
0958aee
 
 
 
 
 
fb7da38
 
 
 
0958aee
fb7da38
 
 
 
 
 
 
 
 
 
 
94a062d
fb7da38
 
 
 
cdea477
fb7da38
0958aee
 
 
 
 
 
 
 
80a429d
 
 
 
 
 
 
 
 
0958aee
fb7da38
0958aee
ce16415
83e2e4f
0958aee
02b1adb
 
 
a896432
 
 
b6b8585
 
 
 
a896432
0958aee
33d548d
0958aee
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
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)