Contents

Chapter 1

Features

This chapter covers the core features and capabilities of Report Generator.

Features

  • Three built-in templates — Summary, Detailed, and Table-Only for different needs
  • Auto-detection — Identifies numeric columns and calculates summary stats automatically
  • KPI extraction — Surfaces revenue totals, rate averages, and row counts as headline cards
  • Dark theme — Professional dark UI matching the Analytics Hub brand
  • Responsive tables — Data tables that work on desktop and mobile
  • Column statistics — Count, total, mean, median, min, max, std dev for every numeric column
  • Self-contained HTML — Single file output with embedded CSS
  • CLI-friendly — Pipe into cron for scheduled reporting

Requirements

  • Python 3.10+
  • No external dependencies (stdlib only)
Chapter 2

Quick Start

Follow this guide to get Report Generator up and running in your environment.

Quick Start

bash
# Generate a detailed report from CSV data
python src/report_generator.py --data examples/sample_revenue.csv --template detailed --title "Monthly Revenue"

# Summary report (KPIs + stats, no raw data table)
python src/report_generator.py --data examples/sample_revenue.csv --template summary

# Table-only report (just the data)
python src/report_generator.py --data data.json --template table-only --output /tmp/report.html

# Custom title and subtitle
python src/report_generator.py --data data.csv --title "Q1 2026 Report" --subtitle "Acme Corp Analytics"

Templates

TemplateContentsBest For
summaryKPI cards + column statisticsExecutive summaries, dashboards
detailedKPIs + stats + full data tableComplete reports, audits
table-onlyJust the data tableQuick data exports, embedding
Chapter 3
🔒 Available in full product

Input Format

Chapter 4
🔒 Available in full product

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