Ploomber AI Editor | penguin-data-visualization-75e9

App Description

Create an application that has a text field to enter a URL (default value: https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv). The app should read the CSV file (and cache it) from the URL and display a DataFrame. Add controls to do the following: - Control how many rows are displayed - A checkbox to determine to randomly shuffle the DataFrame Users select one or two variables and you must determine the best way to visualize them.

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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 Visualization')

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

rows_display = st.number_input('Number of rows to display:', min_value=1, value=10)  
shuffle_data = st.checkbox('Shuffle DataFrame?')

# Load data
try:
    df = load_data(url)
    if shuffle_data:
        df = df.sample(frac=1).reset_index(drop=True)
    st.write(df.head(rows_display))

    # Select variables for visualization
    x_axis = st.selectbox('Select X-axis variable:', df.columns)
    y_axis = st.selectbox('Select Y-axis variable:', df.columns)
    
    if st.button('Generate Visualization'):
        chart = alt.Chart(df).mark_circle(size=60).encode(
            x=x_axis,
            y=y_axis,
            tooltip=df.columns.tolist()
        ).interactive()
        st.altair_chart(chart, use_container_width=True)
except Exception as e:
    st.error(f'Error loading data: {e}')

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Terminal

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app.py