Update app.py

app.py

@@ -1,15 +1,14 @@
+```python
 import streamlit as st
 import pandas as pd
 import altair as alt
 
-# Load the datasets
-child_mortality_path = "child_mortality.csv"
+child_mortality_path = "child_mortality_0_5_year_olds_dying_per_1000_born.csv"
 population_path = "pop.csv"
 
 child_mortality = pd.read_csv(child_mortality_path)
 population = pd.read_csv(population_path)
 
-# Clean population data (handle k, M, B suffixes)
 def convert_population(value):
     if isinstance(value, str):
         if 'B' in value:
@@ -24,16 +23,13 @@ def convert_population(value):
 
 population.iloc[:, 1:] = population.iloc[:, 1:].applymap(convert_population)
 
-# Streamlit app title
 st.title("Child Mortality Rate vs Population")
 
-# Dropdown: Country selection
 st.subheader("Select a Country")
 countries = sorted(child_mortality['country'].unique())
 selected_country = st.selectbox("Country", countries, index=0)
 
 if selected_country:
-    # Filter datasets for the selected country
     mortality_country = child_mortality[child_mortality['country'] == selected_country].melt(
         id_vars='country', var_name='year', value_name='child_mortality'
     )
@@ -41,19 +37,13 @@ if selected_country:
         id_vars='country', var_name='year', value_name='population'
     )
 
-    # Merge datasets
     merged_country_data = pd.merge(mortality_country, population_country, on=['country', 'year'], how='inner')
     merged_country_data['year'] = merged_country_data['year'].astype(int)
-
-    # Filter for 20-year intervals
     merged_country_data = merged_country_data[merged_country_data['year'] % 20 == 0]
-
-    # Calculate Child Mortality Rate
     merged_country_data['child_mortality_rate'] = (
         merged_country_data['child_mortality'] * merged_country_data['population'] / 1_000
     )
 
-    # Explanation of the visualization
     st.subheader("About the Visualization")
     st.write("""
         This visualization explores the trends in child mortality and population over time for a selected country. 
@@ -69,7 +59,6 @@ if selected_country:
         - Data is shown in 20-year intervals for better clarity and simplicity.
     """)
 
-    # Create chart
     chart = alt.Chart(merged_country_data).transform_fold(
         ['child_mortality_rate', 'population'],
         as_=['Metric', 'Value']
@@ -84,11 +73,7 @@ if selected_country:
         title=f"Child Mortality Rate and Population Trends in {selected_country} (Every 20 Years)"
     )
 
-    # Display the chart
     st.altair_chart(chart, use_container_width=True)
-
-    # Data preview
-    st.subheader("Data Preview")
-    st.write(merged_country_data)
 else:
     st.warning("Please select a country to view the trends.")
+```