Upload tips.py

tips.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('---')
+