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Latest updates, feature releases, and data visualization tips.

2026-06-11

DataVizForge is Now Live!

We're excited to launch DataVizForge — a free, privacy-first data visualization tool. Extract web data, upload Excel files, and render beautiful charts with 12+ styles.

DataVizForge is Live!

We're thrilled to announce the launch of DataVizForge — your go-to tool for turning raw data into beautiful charts.

What You Can Do

  • Extract URLs — Extract tables and structured data from any webpage with a single click.
  • Upload Excel — Drag and drop .xlsx files to instantly visualize your data.
  • 12+ Chart Styles — Bar, Line, Pie, Doughnut, Radar, Scatter, Stacked Bar, Composed, Funnel, Radial Bar, and more!
  • Export Everywhere — Download charts as PNG, JPG, SVG, or WebP. Copy to clipboard with one click.
  • API Access — Every registered user gets a unique API key for programmatic access.

Privacy First

Your data never leaves your browser. We don't store any files or data — only account information.

Pricing

  • Free: Try each feature once without registration.
  • Registered: 20 free uses after signing up.
  • Subscription: $10/month, $27/quarter, or $100/year for unlimited access.

Get started at datavizforge.com!

2026-06-11

Choosing the Right Chart Style

A quick guide to help you pick the perfect chart for your data — from bars to radars, we've got you covered.

Choosing the Right Chart Style

Not sure which chart to use? Here's a quick guide.

Comparison Data → Bar / Column Charts

Use Vertical Bar or Horizontal Bar when comparing values across categories. Vertical bars work best with fewer categories; horizontal bars handle longer labels well.

Trends → Line / Area Charts

Use Line or Area charts to show changes over time or across a continuous range.

Proportions → Pie / Doughnut

Use Pie or Doughnut charts when showing parts of a whole. Limit to 5–7 slices for readability.

Multi-dimensional → Radar

Radar charts are perfect for comparing multiple variables at once — ideal for skill profiles or product comparisons.

Correlations → Scatter

Use Scatter charts to visualize relationships between two numerical variables.

Funnel Analysis → Funnel

Funnel charts show progressive stages — ideal for conversion rates, sales pipelines, or drop-off analysis.

Composition → Stacked Bar

Stacked Bar charts reveal part-to-whole relationships across categories.

Mixed Metrics → Composed

Composed charts combine bars and lines — great for showing two different scales on one view.

Try them all at DataVizForge Chart Studio!