Time For Pie (charts)

Like a hungry junior data viz designer, this PieChartGPT skates to one song and one song only: Pie charts.

How to use

  1. Enter the data or topic you’d like visualized (wait for the full reply to load)
  2. Refresh this page (sry there is a bunch of JS that needs to run)
  3. Smile, you have pie now. (right-click to save & eat later)

Try: “give me a 70/30 people that like doughnuts vs pie”

What is this?

This proof-of-concept combines Anthropic and amCharts in a way that lets the AI use a JS library to visualize data.

Platforms like Anthropic and OpenAI are constrained by their scale and rights-of-use for rendering charts, while custom-built solutions like CauseWriter.ai can just build with these libraries for our users.

Anthropic made pie

OpenAI made pie

Pie from CauseWriter + AmCharts

Why Pie is for eating not charting

Avinash Kaushik, a prominent digital marketing and analytics expert, is famously critical of pie charts for several reasons:

  1. Hard to Compare Sections: Humans struggle to compare the sizes of pie chart slices, especially when they are close in size. This makes it difficult to accurately interpret the data.
  2. Limited Data Representation: Pie charts can only display one data series and a limited number of categories, making them unsuitable for complex data sets.
  3. No Context for Absolute Values: Pie charts often lack clarity about the actual data values behind the proportions. Bar charts, in contrast, provide both relative size and actual values, which are easier to interpret.
  4. Inefficient Use of Space: Pie charts take up more space than other visualizations like bar charts, while conveying less information. A bar chart can show the same data more effectively in less space.

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