Code Editor for app.py

import streamlit as st
import pandas as pd
import numpy as np

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

st.title('Penguins Data Viewer')

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

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

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

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

# Show selected number of rows
st.write(df.head(num_rows))

# Variable selection
variables = df.select_dtypes(include=[np.number]).columns.tolist()
var1 = st.selectbox('Select first variable:', variables)
var2 = st.selectbox('Select second variable (optional):', ['None'] + variables)

# Visualization based on variable selection
if var2 == 'None':  # Univariate visualization
    st.bar_chart(df[var1].value_counts())
else:  # Bivariate visualization
    st.write(f'Scatter plot of {var1} vs {var2}:')
    st.scatter_chart(df, x=var1, y=var2)