Create a Streamlit 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 The app should also allow plotting the entire CSV. Users select one or two variables and you must determine the best way to visualize them.
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import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
st.title("Penguins Data Viewer")
url = st.text_input("Enter URL to CSV:",
"https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv")
@st.cache_data
def load_data(url):
data = pd.read_csv(url)
return data
# Load data
try:
df = load_data(url)
st.write("Data Loaded Successfully!")
st.dataframe(df)
except Exception as e:
st.error(f"Error loading data: {e}")
# Control for number of rows to display
num_rows = st.slider("Select number of rows to display:", 1, len(df), 10)
shuffled = st.checkbox("Shuffle DataFrame")
if shuffled:
df = df.sample(frac=1).reset_index(drop=True)
st.write(df.head(num_rows))
# Plotting
variables = df.select_dtypes(include='number').columns.tolist()
var_x = st.selectbox("Select variable for x-axis:", variables)
var_y = st.selectbox("Select variable for y-axis:", ["None"] + variables)
if var_y != "None":
plt.figure(figsize=(10, 6))
sns.scatterplot(data=df, x=var_x, y=var_y)
plt.title(f"Scatter Plot of {var_x} vs {var_y}")
st.pyplot(plt)
else:
st.warning("Please select a second variable for the y-axis to plot.")
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