Create income.py (#8)

- Create income.py (1cd09d9f7236942fedbb7be76523a689a16c6f8f)


Co-authored-by: Ji Eun Kim <jieunk3@users.noreply.huggingface.co>

pages/income.py

@@ -0,0 +1,36 @@
+import streamlit as st
+import pandas as pd
+import altair as alt
+
+income_df = pd.read_csv('https://huggingface.co/spaces/jiyachachan/fp2/resolve/main/mincpcap_cppp.csv')
+mortality_df = pd.read_csv('https://huggingface.co/spaces/jiyachachan/fp2/resolve/main/child_mortality_0_5_year_olds_dying_per_1000_born.csv')
+
+income_long = pd.melt(income_df, id_vars=['country'], var_name='year', value_name='income')
+mortality_long = pd.melt(mortality_df, id_vars=['country'], var_name='year', value_name='mortality')
+
+income_long['year'] = income_long['year'].astype(int)
+mortality_long['year'] = mortality_long['year'].astype(int)
+
+yay = pd.merge(income_long, mortality_long, on=['country', 'year'])
+
+yer = yay.dropna()
+yer = yer[yer["year"] <= 2024]
+
+st.title("Child Mortality vs Daily Income Visualization")
+
+yeyear = st.slider("Select a Year", min_value=yer["year"].min(), max_value=2024, value=2024)
+
+filtered_yer = yer[yer["year"] == yeyear]
+
+scatter_plot = alt.Chart(filtered_yer).mark_circle(size=60).encode(
+    x=alt.X('income', title='Daily Income (USD)', scale=alt.Scale(type='log')),
+    y=alt.Y('mortality', title='Child Mortality (per 1,000)'),
+    color='country',
+    tooltip=['country', 'year', 'income', 'mortality']
+).properties(
+    width=700,
+    height=500,
+    title=f"Child Mortality vs Daily Income in {yeyear}"
+)
+
+st.altair_chart(scatter_plot, use_container_width=True)