Data Visualization vs Lieflat Charts — Which AI Skill Should You Use?

The short version

By JR Brugger (Design Workflow)

Design clear charts and graphs that communicate insights without confusion.

By Lieflat

Turn your data into polished, publication-ready charts, slide decks, and reports.

Recommends the right chart type based on what you're trying to show (trends, comparisons, distributions, relationships)
Applies design principles that make charts clear and easy to read (proper labels, colors, and minimal decoration)
Ensures visualizations are accessible to all audiences including colorblind users
Guides responsive design so charts work on mobile and desktop
Provides best practices for direct labeling, context, and interactive exploration

Picks the right chart type from the shape of your data, so you never have to name one
Builds charts from a library of tested templates in a clean black-and-white style, with optional color themes or your brand colors
Creates full one-page reports such as monthly reviews, annual reports, and research briefs
Produces animated slide presentations as HTML or PDF
Checks every chart for honest scales, readable labels, and clear conclusion-style titles

You're building a presentation deck and need to show quarterly sales trends or market data
You're writing a report and want to visualize survey results or customer metrics
You need to create a dashboard that communicates KPIs to your team
You're designing charts for an article, proposal, or investor update

You have a spreadsheet of numbers and want a chart good enough to post or publish
You're writing a long-form article or annual report that needs a set of consistent visuals
You need a data-driven presentation or report page without opening a design tool