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)

st.title('Penguins Data Viewer')

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

# Load data from the provided URL
try:
    df = load_data(url)
    st.write('Data loaded successfully!')
except Exception as e:
    st.error(f'Error loading data: {e}')

# Checkbox for shuffling data
shuffle = st.checkbox('Shuffle DataFrame')
if shuffle:
    df = df.sample(frac=1).reset_index(drop=True)

# Control for number of rows displayed
num_rows = st.number_input('Number of rows to display:', min_value=1,
                             max_value=len(df), value=5)

# Display the DataFrame
st.write(df.head(num_rows))

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

if len(selected_vars) == 2:
    st.write('Creating a scatter plot...')
    st.pyplot(df.plot.scatter(x=selected_vars[0], y=selected_vars[1]))
elif len(selected_vars) == 1:
    st.write('Creating a histogram...')
    st.pyplot(df[selected_vars[0]].hist())