Code Editor for app.py

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

st.title("Penguin Data Visualization")

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

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

# Load the data
try:
    df = load_data(url)
    st.write(f"Data loaded from: {url}")
except Exception as e:
    st.error(f"Error loading data: {e}")
    df = pd.DataFrame()  # Create an empty DataFrame to handle failure

# Control for number of rows displayed
num_rows = st.slider("Select number of rows to display:", 1, 100, 10)
if not df.empty:
    st.write(df.head(num_rows))

# Checkbox to randomly shuffle DataFrame
shuffle = st.checkbox("Shuffle DataFrame")
if shuffle:
    df = df.sample(frac=1).reset_index(drop=True)
    st.write("DataFrame has been shuffled.")

# Allow user to select columns for plotting
if not df.empty:
    variables = df.columns.tolist()
    x_axis = st.selectbox("Select variable for X-axis:", options=variables)
    y_axis = st.selectbox("Select variable for Y-axis:", options=variables, index=1)

    # Determine visualization type
    if df[x_axis].dtype in ["int64", "float64"] and df[y_axis].dtype in ["int64", "float64"]:
        chart = alt.Chart(df).mark_circle(size=60).encode(
            x=x_axis,
            y=y_axis,
            tooltip=list(variables)
        ).interactive()
        st.altair_chart(chart, use_container_width=True)
    else:
        st.warning("Select numeric variables for both axes for scatter plot.")