A lightning quick An Andrew Heiss, Ph PhD Brigham Young - - PowerPoint PPT Presentation

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A lightning quick An Andrew Heiss, Ph PhD Brigham Young - - PowerPoint PPT Presentation

Nov 01, 2023 177 likes •633 views

A lightning quick An Andrew Heiss, Ph PhD Brigham Young University introduction to data West Coast Nonprofit Data Conference visualization April 27, 2018 Plan for today Why visualize data? Types of visualizations Aesthetics and design

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A lightning quick introduction to data visualization

An Andrew Heiss, Ph PhD Brigham Young University West Coast Nonprofit Data Conference April 27, 2018

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Why visualize data?

Plan for today

Aesthetics and design Types of visualizations How do I do all this? Take a sad plot and make it better

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talks.andrewheiss.com/wcnpd18

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Why visualize data?

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Theories are only stories until you have some data. Data alone cannot tell stories or prove theories.

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Never trust summary statistics alone

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Humans are visual creatures

@FacesPics

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The War of 1812 (the European one)

Long distance!

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The War of 1812 (the European one)

Very cold!

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01-Oct 01-Nov 01-Dec

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The War of 1812 (the European one)

Very sad!

Napoleon’s Grande Armée

Died Survived

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Characteristics of graphical excellence

  • 1. “... the well-designed presentation of interesting

data—a matter of substance, statistics, and design.”

  • 2. Complex ideas communicated with

clarity, precision, and efficiency.

  • 3. That which gives the viewer the greatest

number of ideas in the shortest time with the least ink in the smallest space.

  • 4. Nearly always multivariate.
  • 5. Requires telling the truth about the data.
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What makes Minard’s graph so great?

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We forget this!

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Types of visualizations

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Exploratory visualizations

Academic-ish Quick scatterplots, histograms, other charts to help understand your data

Explanatory visualizations

Publishable Consumable by the general public; Vox, NYT, Washington Post, FiveThirtyEight, etc.

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Exploratory Explanatory

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Exploratory data analysis

Visualize every variable individually

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Exploratory data analysis

Visualize relationships between each variable

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Explanatory data analysis

Annotate and tell a story

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Explanatory data analysis

Annotate and tell a story

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Which chart type do I use? datavizcatalogue.com

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Dataviz gotchas: multiple y-axes

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Dataviz gotchas: multiple y-axes

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Dataviz gotchas: multiple y-axes

It’s okay if both axes measure the same thing

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Dataviz gotchas: truncated y-axes

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Truncation is okay sometimes!

…when small movements matter

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Truncation is okay sometimes!

…when zero values are impossible

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Truncation is okay sometimes!

…but never on bar charts!

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Aesthetics and design

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Fonts

Nice sans serif fonts; move away from Arial

Design principles

Co Contrast Re Repeti titi tion Al Alignment Pr Proxi ximity

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Colors

Be aware of colorblind users!

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Choose universally accessible palettes

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How do I do all this?

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Ba Barri rrier er to en entry ry (a (amount of coding req required red) Fl Flexibility an and power

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Take a sad plot and make it better

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talks.andrewheiss.com/wcnpd18