Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+import plotly.graph_objects as go
+
+# Load the dataset
+@st.cache_data
+def load_data():
+    df = pd.read_csv('Human Development Index - Full.csv')
+    # ... (data preprocessing steps)
+    return df_hdi_sorted, df_years, df_rank, df_hdi_groups
+
+df_hdi_sorted, df_years, df_rank, df_hdi_groups = load_data()
+
+# Streamlit app
+st.title('Human Development Index Analysis')
+
+# Sidebar
+st.sidebar.header('Visualization Options')
+chart_type = st.sidebar.selectbox('Select Chart Type', 
+    ['Top 10 Countries', 'HDI Groups Distribution', 'HDI Trends', 'Bottom 10 Countries', 
+     'HDI Improvement', 'HDI Distribution', 'World Map', 'HDI Comparison', 
+     'HDI by Development Groups', 'HDI Sunburst'])
+
+# Main content
+if chart_type == 'Top 10 Countries':
+    st.subheader('Top 10 Countries by HDI (2021)')
+    fig = px.bar(df_years.head(10), x='Country', y='Human Development Index (2021)', 
+                 color='Human Development Index (2021)', color_continuous_scale='Viridis')
+    st.plotly_chart(fig)
+
+elif chart_type == 'HDI Groups Distribution':
+    st.subheader('Distribution of Countries by HDI Groups')
+    fig = px.pie(df_hdi_groups, names='Human Development Groups')
+    st.plotly_chart(fig)
+
+# ... (add other chart options)
+
+elif chart_type == 'HDI Sunburst':
+    st.subheader('HDI Distribution by Groups and Top Countries (2021)')
+    df_sunburst = df_hdi_sorted.copy()
+    df_sunburst['HDI_2021'] = pd.cut(df_sunburst['Human Development Index (2021)'], 
+                                     bins=[0, 0.55, 0.7, 0.8, 1], 
+                                     labels=['Low', 'Medium', 'High', 'Very High'])
+    fig = px.sunburst(df_sunburst, 
+                      path=['HDI_2021', 'Human Development Groups', 'Country'], 
+                      values='Human Development Index (2021)',
+                      color='HDI_2021',
+                      color_discrete_map={'Low': 'red', 'Medium': 'orange', 
+                                          'High': 'lightgreen', 'Very High': 'darkgreen'})
+    fig.update_traces(textinfo="label+percent entry")
+    st.plotly_chart(fig)
+
+# Add more information or text as needed
+st.markdown("""
+This app provides various visualizations of the Human Development Index (HDI) data.
+Use the sidebar to select different chart types and explore the data.
+""")