Features

This chapter covers the core features and capabilities of Data Visualizer.

Features

• Four chart types — Bar, line, pie, and scatter plots
• Pure SVG output — Scalable vector graphics, works in any browser or image viewer
• Auto-detection — Picks sensible column defaults from your data
• Nice axis ticks — Automatically rounds tick values for clean labels (100, 200, 300 not 97, 194, 291)
• Dark theme — Designed for dark backgrounds with high-contrast colors
• Multi-series line charts — Compare multiple data series on one chart
• Smart number formatting — 1,500,000 becomes 1.5M, 2,300 becomes 2.3K
• 10-color palette — Accessibility-tested colors with enough contrast
• CLI-friendly — One command to generate a chart

Requirements

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

Quick Start

Follow this guide to get Data Visualizer up and running in your environment.

Quick Start

# Bar chart from CSV
python src/data_visualizer.py --data examples/sample_chart_data.csv --chart bar --x month --y revenue

# Line chart
python src/data_visualizer.py --data examples/sample_chart_data.csv --chart line --x month --y revenue

# Pie chart
python src/data_visualizer.py --data examples/sample_chart_data.csv --chart pie --label month --value revenue

# Scatter plot
python src/data_visualizer.py --data data.csv --chart scatter --x users --y revenue --title "Users vs Revenue"

# Custom output and color
python src/data_visualizer.py --data data.json --chart bar --output dashboard_chart.svg --color "#FF3366"

Chart Types