Code Editor for app.py

import streamlit as st
import pandas as pd
import seaborn as sns

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

# Read and cache the CSV data
@st.cache_data
def load_data(url):
    return pd.read_csv(url)

data = load_data(url)

# Display DataFrame controls
num_rows = st.slider('Select number of rows to display', 1, min(10, len(data)), 5)
shuffle = st.checkbox('Shuffle DataFrame')

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

# Display the DataFrame
st.write(data.head(num_rows))

# Plotting options
st.subheader('Plotting Options')

# Select variables for plotting
columns = data.select_dtypes(include=['float64', 'int64', 'object']).columns.tolist()
variable_x = st.selectbox('Select variable for X-axis:', columns)

# Check if the selected variable is categorical or numerical
if data[variable_x].dtype in ['float64', 'int64']:
    variable_y = st.selectbox('Select variable for Y-axis:', columns)
else:
    variable_y = None

# Create a scatter plot or count plot based on selection
if variable_y:
    st.subheader('Scatter Plot')
    st.scatter_chart(data[[variable_x, variable_y]])
else:
    st.subheader('Count Plot')
    sns.countplot(x=variable_x, data=data)
    st.pyplot()