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 Visualization')

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

# Load Data
try:
    df = load_data(url)
except Exception as e:
    st.error(f'Error loading data: {e}')
    df = pd.DataFrame()  # Empty DataFrame in case of error

# Controls to control number of displayed rows and shuffling
num_rows = st.slider('Select number of rows to display:', min_value=1, max_value=len(df), value=10)
shuffle = st.checkbox('Shuffle DataFrame')

if shuffle:
    df = df.sample(frac=1).reset_index(drop=True)

# Display DataFrame
st.write(f'Displaying {num_rows} rows:')
st.dataframe(df.head(num_rows))

# User selects columns to visualize
columns = df.select_dtypes(include=[np.number]).columns.tolist()
if len(columns) < 2:
    st.warning('Not enough numeric columns to visualize.')
else:
    x_variable = st.selectbox('Select the X variable:', columns)
    y_variable = st.selectbox('Select the Y variable:', columns)

    # Create scatter plot if both variables are selected
    if x_variable and y_variable:
        st.subheader(f'Scatter Plot of {y_variable} vs {x_variable}')
        st.line_chart(df[[x_variable, y_variable]].dropna())