Code Editor for app.py

import streamlit as st
import pandas as pd

@st.cache_data
def load_data(url):
    return pd.read_csv(url)

# Default URL
url = st.text_input('Enter CSV URL:', 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')

# Load data
try:
    df = load_data(url)
    st.write(df)
except Exception as e:
    st.error(f'Error loading data: {e}')
    df = pd.DataFrame()  # Create an empty DataFrame if failed

# Control for number of rows displayed
num_rows = st.slider('Select number of rows to display:', min_value=1, max_value=len(df), value=5)
show_df = df.sample(n=num_rows) if st.checkbox('Shuffle data randomly?') else df.head(num_rows)

# Display the DataFrame
st.write(show_df)

# Variable selection for visualization
variables = df.select_dtypes(include=['number', 'object']).columns.tolist()
selected_vars = st.multiselect('Select variables to visualize:', variables, default=variables[:2])

if len(selected_vars) == 2:
    st.subheader('Scatter Plot')
    st.altair_chart(
        alt.Chart(df).mark_circle().encode(
            x=selected_vars[0],
            y=selected_vars[1],
            tooltip=selected_vars
        )
    )
elif len(selected_vars) == 1:
    st.subheader('Histogram')
    st.altair_chart(
        alt.Chart(df).mark_bar().encode(
            x=selected_vars[0],
            y='count()'
        )
    )
else:
    st.warning('Please select one or two variables to visualize.')