Code Editor for app.py

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

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

st.title('Penguins Data Visualizer')

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

# Load data
try:
    data = load_data(url)
    st.write(data)

    # Control to select number of rows displayed
    num_rows = st.slider('Select number of rows to display:', 1, len(data), 5)
    st.write(data.head(num_rows))

    # Checkbox to shuffle the DataFrame
    shuffle = st.checkbox('Shuffle data')
    if shuffle:
        data = data.sample(frac=1).reset_index(drop=True)

    # Selecting variables for plotting
    numeric_columns = data.select_dtypes(include=['float64', 'int64']).columns.tolist()
    x_var = st.selectbox('Select x-axis variable:', numeric_columns)
    y_var = st.selectbox('Select y-axis variable (leave as None for univariate):', ['None'] + numeric_columns)

    # Plotting the data
    if st.button('Plot Data'):
        plt.figure(figsize=(10, 5))
        if y_var == 'None':
            # Univariate plot
data[x_var].plot(kind='hist')
            plt.title(f'Histogram of {x_var}')
        else:
            # Bivariate plot
            data.plot.scatter(x=x_var, y=y_var)
            plt.title(f'Scatter plot of {y_var} vs {x_var}')
        plt.xlabel(x_var)
        plt.ylabel(y_var if y_var != 'None' else 'Frequency')
        st.pyplot()
except Exception as e:
    st.error(f'Error loading data: {e}')