Ploomber AI Editor | penguins-data-visualization-2166

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 random

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

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

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

# Control for number of rows displayed
num_rows = st.number_input('Number of rows to display:', min_value=1, max_value=len(df), value=5)

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

# Display selected rows
st.write(df.head(num_rows))

# Selecting variables
variables = df.select_dtypes(include='number').columns.tolist()  # Get numeric columns
selected_var1 = st.selectbox('Select first variable to visualize:', variables)
selected_var2 = st.selectbox('Select second variable to visualize (or None):', ['None'] + variables)

# Visualization
if selected_var2 != 'None':
    st.line_chart(df[[selected_var1, selected_var2]])
else:
    st.bar_chart(df[selected_var1])

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Terminal

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app.py