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"""Data display utilities"""
import streamlit as st
import pandas as pd
def display_data_preview(data: list, columns: list):
"""Display data preview"""
if not data:
st.warning("No data to display")
return
st.subheader("📋 Data Preview")
# Convert to DataFrame for better display
df = pd.DataFrame(data)
# Display summary
col1, col2, col3 = st.columns(3)
with col1:
st.metric("Total Rows", len(df))
with col2:
st.metric("Total Columns", len(df.columns))
with col3:
st.metric("Memory Usage", f"{df.memory_usage().sum() / 1024:.2f} KB")
st.divider()
# Display data table
st.dataframe(df, use_container_width=True)
st.divider()
# Display statistics
st.subheader("📊 Data Statistics")
st.dataframe(df.describe(), use_container_width=True)
def display_analysis_results(results: dict):
"""Display analysis results"""
st.subheader("📈 Analysis Results")
if "error" in results:
st.error(f"Analysis failed: {results['error']}")
return
# Display results based on type
if "results" in results:
st.write(results["results"])
if "summary" in results:
st.info(f"**Summary:** {results['summary']}")
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