Code Editor for app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Function to load data
@st.cache_data
def load_data(url):
    return pd.read_csv(url)

st.title("Penguins Data Viewer")

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

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

# Controls for displaying the data
num_rows = st.slider("Select number of rows to display:", 1, len(data), 5)
shuffle = st.checkbox("Shuffle DataFrame")

# Shuffle data if checkbox is selected
if shuffle:
    data = data.sample(frac=1).reset_index(drop=True)

# Display the selected number of rows
st.write(data.head(num_rows))

# Plotting controls
st.subheader("Plotting")
variables = data.columns.tolist()
selected_vars = st.multiselect("Select one or two variables to plot:", variables)

if len(selected_vars) == 1:
    # Scatter plot for single variable
    sns.histplot(data[selected_vars[0]], kde=True)
    plt.title(f'Histogram of {selected_vars[0]}')
    st.pyplot(plt)
elif len(selected_vars) == 2:
    # Scatter plot for two variables
    sns.scatterplot(data=data, x=selected_vars[0], y=selected_vars[1])
    plt.title(f'Scatter plot of {selected_vars[0]} vs {selected_vars[1]}')
    st.pyplot(plt)
else:
    st.info("Please select one or two variables to plot.")