Ploomber AI Editor | penguins-data-visualization-cea3

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("Penguins Data Visualization")

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

df = load_data(url)

rows_to_display = st.slider("Select number of rows to display:", min_value=1, max_value=len(df), value=5)
shuffle_data = st.checkbox("Shuffle DataFrame")

if shuffle_data:
    df = df.sample(frac=1).reset_index(drop=True)

st.subheader("DataFrame Preview:")
st.dataframe(df.head(rows_to_display))

st.subheader("Select Variables for Visualization:")
variables = df.columns.tolist()
selected_variables = st.multiselect("Choose one or two variables:", variables)

if len(selected_variables) == 1:
    chart = alt.Chart(df).mark_bar().encode(
        x=selected_variables[0],
        y='count()'
    )
    st.altair_chart(chart, use_container_width=True)
elif len(selected_variables) == 2:
    chart = alt.Chart(df).mark_circle().encode(
        x=selected_variables[0],
        y=selected_variables[1],
        color='species'
    )
    st.altair_chart(chart, use_container_width=True)

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Terminal

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app.py