Delete pages/viz2.py

pages/viz2.py

@@ -1,44 +0,0 @@
-import pandas as pd
-
-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()
-
-filtered_yer = yer[yer["year"] <= 2024]
-
-# Visualization
-
-import streamlit as st
-import altair as alt
-
-scatter_plot = alt.Chart(filtered_yer).mark_circle(size=60).encode(
-    x=alt.X(
-        'income',
-        title='Daily Income (USD)',
-        scale=alt.Scale(type='log', domain=[0.1, 10], base=10),
-        axis=alt.Axis(tickCount=10, grid=True, format='.1f') 
-    ),
-    y=alt.Y(
-        'mortality',
-        title='Child Mortality (per 1,000)',
-        axis=alt.Axis(tickCount=10, grid=True)
-    ),
-    color='country',
-    tooltip=['country', 'year', 'income', 'mortality']
-).properties(
-    width=700,
-    height=500,
-    title=f"Child Mortality vs Daily Income in {selected_year}"
-)
-
-
-st.altair_chart(scatter_plot, use_container_width=True)