Code Editor for app.py

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

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

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

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

rows_to_display = st.slider('Select number of rows to display:', min_value=1, max_value=len(df), value=5)
shuffle = st.checkbox('Randomly shuffle the DataFrame')

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

st.write(df.head(rows_to_display))

# Select variables for visualization
x_variable = st.selectbox('Select X-axis variable:', df.columns)
y_variable = st.selectbox('Select Y-axis variable:', df.columns)

# Create a scatter plot for two numeric variables
if df[x_variable].dtype in [np.int64, np.float64] and df[y_variable].dtype in [np.int64, np.float64]:
    chart = alt.Chart(df).mark_circle(size=60).encode(
        x=x_variable,
        y=y_variable,
        tooltip=df.columns.tolist()
    ).interactive()
    st.altair_chart(chart, use_container_width=True)
else:
    st.write('Please select numeric variables for visualization.')