Code Editor for app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt

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

st.title("CSV Data Visualizer")

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

# Load the data
try:
    data = load_data(url)
    st.write("Data Loaded Successfully.")
    st.dataframe(data)
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:", min_value=1, max_value=len(data), value=10)
shuffe_data = st.checkbox("Shuffle Data")

# Shuffle the data if the checkbox is checked
if shuffe_data:
    data = data.sample(frac=1).reset_index(drop=True)

# Display the requested number of rows
st.dataframe(data.head(num_rows))

# Visualization controls
st.header("Data Visualization")
variables = data.columns.tolist()

# Select one or two variables for visualization
x_var = st.selectbox("Select X Variable:", variables)

num_y = st.radio("Select number of Y Variables:", [1, 2])

if num_y == 1:
    y_var = st.selectbox("Select Y Variable:", variables)
    # Create a scatter plot or line chart
    fig, ax = plt.subplots()
    ax.scatter(data[x_var], data[y_var])
    ax.set_xlabel(x_var)
    ax.set_ylabel(y_var)
    ax.set_title(f'Scatter Plot: {x_var} vs {y_var}')
    st.pyplot(fig)
else:
    y_var1 = st.selectbox("Select First Y Variable:", variables)
    y_var2 = st.selectbox("Select Second Y Variable:", variables)
    
    # Create a scatter plot for two variables
    fig, ax = plt.subplots()
    ax.scatter(data[y_var1], data[y_var2])
    ax.set_xlabel(y_var1)
    ax.set_ylabel(y_var2)
    ax.set_title(f'Scatter Plot: {y_var1} vs {y_var2}')
    st.pyplot(fig)