Code Editor for app.py

import streamlit as st
import pandas as pd
import seaborn as sns

# Cache data loading (prevent reloading)
@st.cache_data
def load_data(url):
   return pd.read_csv(url)

# Title of the app

# Data URL input with default value
url = st.text_input('CSV file URL', value='https://raw.githubusercontent.com/mwaskom/seaborn-data/refs/heads/master/titanic.csv')

try:
   # Load the data
   df = load_data(url)

   # Table Display - changing number of rows
   n_rows = st.number_input("Number of rows to display",
                               min_value=1,
                               max_value=len(df),
                               value=min(10, len(df)))
  
   # Display the table
   st.subheader("Data Preview")
   st.dataframe(df.head(n_rows))
  
   ### Data Visualization
   st.subheader("Visualization")
  
   # Variable selection from table columns
   var = st.selectbox("Select first variable", options=df.columns)

   # Let's keep a constant variable of interest - in case of Titanic dataset, it's the survival rate!
  
   # Make a histogram (distribution chart) if it is numeric variable
   if df[var].dtype in ['float64', 'int64']:
       st.subheader(f"Distribution of {var}")
       fig = sns.histplot(data=df, x=var, hue='survived')
       st.pyplot(fig.figure)

   # Make a barchart if it is categorical variable
   else:
       st.subheader(f"Count plot of {var}")
       fig = sns.countplot(data=df, x=var, hue='survived')
       st.pyplot(fig.figure)

except Exception as e:
   st.error(f"Error: {str(e)}")
   st.write("Please check if the URL is valid and points to a CSV file.")