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Representation, intuition and feedback →

What becomes visible when you change representation?

An average, a spectrum and a geometric diagram each foreground a different structure. Before asking which view is intuitive, ask which comparison you need it to support.

Questions in this reading · 6
  1. What disappears inside a national average?
  2. What does a visualization let you notice?
  3. Can changing representation reveal a solution?
  4. Which frequencies are present, and how was the signal recorded?
  5. Where does an error in precision matter?
  6. Can you reconstruct the area formula?

What disappears inside a national average?

Countries can improve on average while wealth remains concentrated within one country. Compare the unit of observation before comparing the trends. Wealth shares and life expectancy measure different things.

Compare original passages and timestamps · 2
1% of America has 40% of all the nation's wealth
Wealth Inequality in America · ▶ 4:40–4:57
Inequalities within countries these bubbles show country averages, but I can split them
Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC · ▶ 3:25–3:41

What does a visualization let you notice?

A color map controls how differences reach the eye. Moving bubbles can expose patterns over time. In both cases the encoding influences what viewers can detect.

Compare original passages and timestamps · 2
an interface between your data and your brain
A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt · ▶ 0:40–0:47
having the data is not enough
Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC · ▶ 0:10–0:17

Can changing representation reveal a solution?

A different representation makes certain relationships directly visible. Compare which calculation each representation makes easier and which information it preserves.

Compare original passages and timestamps · 2
choose the appropriate data structure before you start tinkering around with the algorithm.
Alan Kay: Doing with Images Makes Symbols (Full Version) · ▶ 71:12–71:16
that right-hand side that I'm trying to get is actually one of these columns.
Lec 1 | MIT 18.06 Linear Algebra, Spring 2005 · ▶ 24:38–24:45

Which frequencies are present, and how was the signal recorded?

A Fourier transform describes a signal by frequency. Sampling and quantization describe how a signal is measured and encoded. They answer different questions.

Compare original passages and timestamps · 2
It pulls out the original frequencies from their jumbled up sums
But what is the Fourier Transform? A visual introduction. · ▶ 10:29–10:33
the sampling step is perfect it loses nothing
D/A and A/D | Digital Show and Tell (Monty Montgomery @ xiph.org) · ▶ 9:38–9:47

Where does an error in precision matter?

An approximation has to be judged at the output where it will be used. Compare how the two demonstrations distinguish useful accuracy from unnecessary precision.

Compare original passages and timestamps · 2
neural networks don't need the precision of digital computers.
Future Computers Will Be Radically Different (Analog Computing) · ▶ 14:41–14:57
dither is specially constructed noise that substitutes for the noise produced by simple quantization
D/A and A/D | Digital Show and Tell (Monty Montgomery @ xiph.org) · ▶ 12:09–12:28

Can you reconstruct the area formula?

A formula is easier to transfer when a learner can rebuild the reasoning that produced it. Compare a memorized answer with a representation that makes the derivation visible.

Compare original passages and timestamps · 2
build mental models that you can use in other contexts
Confessions of a Converted Lecturer: Eric Mazur · ▶ 27:08–27:19
the sum, thought of as the aggregate area of those rectangles, approaches the area under the graph.
The essence of calculus · ▶ 8:07–8:18

Try it on your own example

Represent the same data twice. Which question can each view answer, and which question can it hide?