"""Streamlit App 1: Data Explorer - Interactive data visualization."""

import numpy as np
import streamlit as st

st.set_page_config(page_title="App 1: Data Explorer", layout="wide")

st.title("🚀 Data Explorer")
st.write("Generate and visualize random data interactively!")

# Sidebar controls
st.sidebar.header("Configuration")
num_points = st.sidebar.slider(
    "Number of data points:",
    min_value=50,
    max_value=500,
    value=100,
    step=50,
)

dimensions = st.sidebar.radio("Dimensions:", ["2D", "3D"], index=0)

# Generate data
if dimensions == "2D":
    data = np.random.randn(num_points, 2)
    st.subheader("2D Scatter Plot")
    st.scatter_chart(data)
else:
    data = np.random.randn(num_points, 3)
    st.subheader("3D Data")
    st.write("Showing first 10 rows:")
    st.dataframe(data[:10])

# Statistics
st.subheader("Statistics")
col1, col2, col3 = st.columns(3)
with col1:
    st.metric("Mean", f"{data.mean():.2f}")
with col2:
    st.metric("Std Dev", f"{data.std():.2f}")
with col3:
    st.metric("Data Points", num_points)