Spaces:
Running
Running
alperugurcan
commited on
Commit
•
d58613e
1
Parent(s):
8bfd4bf
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
import pandas as pd
|
3 |
+
import plotly.express as px
|
4 |
+
import plotly.graph_objects as go
|
5 |
+
|
6 |
+
# Load the dataset
|
7 |
+
@st.cache_data
|
8 |
+
def load_data():
|
9 |
+
df = pd.read_csv('Human Development Index - Full.csv')
|
10 |
+
# ... (data preprocessing steps)
|
11 |
+
return df_hdi_sorted, df_years, df_rank, df_hdi_groups
|
12 |
+
|
13 |
+
df_hdi_sorted, df_years, df_rank, df_hdi_groups = load_data()
|
14 |
+
|
15 |
+
# Streamlit app
|
16 |
+
st.title('Human Development Index Analysis')
|
17 |
+
|
18 |
+
# Sidebar
|
19 |
+
st.sidebar.header('Visualization Options')
|
20 |
+
chart_type = st.sidebar.selectbox('Select Chart Type',
|
21 |
+
['Top 10 Countries', 'HDI Groups Distribution', 'HDI Trends', 'Bottom 10 Countries',
|
22 |
+
'HDI Improvement', 'HDI Distribution', 'World Map', 'HDI Comparison',
|
23 |
+
'HDI by Development Groups', 'HDI Sunburst'])
|
24 |
+
|
25 |
+
# Main content
|
26 |
+
if chart_type == 'Top 10 Countries':
|
27 |
+
st.subheader('Top 10 Countries by HDI (2021)')
|
28 |
+
fig = px.bar(df_years.head(10), x='Country', y='Human Development Index (2021)',
|
29 |
+
color='Human Development Index (2021)', color_continuous_scale='Viridis')
|
30 |
+
st.plotly_chart(fig)
|
31 |
+
|
32 |
+
elif chart_type == 'HDI Groups Distribution':
|
33 |
+
st.subheader('Distribution of Countries by HDI Groups')
|
34 |
+
fig = px.pie(df_hdi_groups, names='Human Development Groups')
|
35 |
+
st.plotly_chart(fig)
|
36 |
+
|
37 |
+
# ... (add other chart options)
|
38 |
+
|
39 |
+
elif chart_type == 'HDI Sunburst':
|
40 |
+
st.subheader('HDI Distribution by Groups and Top Countries (2021)')
|
41 |
+
df_sunburst = df_hdi_sorted.copy()
|
42 |
+
df_sunburst['HDI_2021'] = pd.cut(df_sunburst['Human Development Index (2021)'],
|
43 |
+
bins=[0, 0.55, 0.7, 0.8, 1],
|
44 |
+
labels=['Low', 'Medium', 'High', 'Very High'])
|
45 |
+
fig = px.sunburst(df_sunburst,
|
46 |
+
path=['HDI_2021', 'Human Development Groups', 'Country'],
|
47 |
+
values='Human Development Index (2021)',
|
48 |
+
color='HDI_2021',
|
49 |
+
color_discrete_map={'Low': 'red', 'Medium': 'orange',
|
50 |
+
'High': 'lightgreen', 'Very High': 'darkgreen'})
|
51 |
+
fig.update_traces(textinfo="label+percent entry")
|
52 |
+
st.plotly_chart(fig)
|
53 |
+
|
54 |
+
# Add more information or text as needed
|
55 |
+
st.markdown("""
|
56 |
+
This app provides various visualizations of the Human Development Index (HDI) data.
|
57 |
+
Use the sidebar to select different chart types and explore the data.
|
58 |
+
""")
|