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w2_assign_streamlit.py
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Update w2_assign_streamlit.py
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import streamlit as st
import seaborn as sns
import pandas as pd
# Load data
data = sns.load_dataset("tips")
# Page config
st.set_page_config(page_title='Tips Data Analysis', layout='wide')
# Title and description
st.title('Tips Data Analysis with Streamlit')
st.write('Tips rise with total bill, but the tip/total_bill ratio goes down as total bill increases.')
st.write('---')
# Sidebar widgets
with st.sidebar:
st.subheader('Filter Options')
threshold = st.slider('Threshold for Total Bill', min_value=0, max_value=100, value=10, step=1)
day_selector = st.multiselect('Select Day(s)', options=data['day'].unique(), default=data['day'].unique())
# Filter data
filtered_data = data[data['total_bill'] > threshold]
filtered_data = filtered_data[filtered_data['day'].isin(day_selector)]
# Main content
st.subheader('Total Bill vs Tip Scatter Plot')
if not filtered_data.empty:
current_selected_day = ', '.join(filtered_data['day'].unique())
st.write(f"Scatter plot for total bill vs tip for {current_selected_day} with total bill above {threshold}.")
st.write(
f"You can see current average tip {filtered_data['tip'].mean():.2f} for selected days. "
f"But tip/total_bill ratio is {(filtered_data['tip']/filtered_data['total_bill']).mean():.2%}"
)
st.scatter_chart(data=filtered_data, x='total_bill', y='tip', color='day')
st.dataframe(filtered_data)
else:
st.warning("No data available for the selected filters.")
st.write('---')
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