May 2024
Beginner to intermediate
264 pages
8h 9m
English
Content preview from Everyday Data VisualizationBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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6 Creating a good chart
This chapter covers
- Making a “good” chart
- Bar chart alternatives that are a bit more interesting
- Map visualizations that don’t secretly tell a different story without your consent
Let’s look at the tools in our tool belt, the hammers and power drills of making a viz, if you will. We have the preattentive attributes of color, form, and spatial position (also movement, but we’ll leave that one out for now). This means we can encode data using color, shape, size, and position, and then we can encode relationships between our data points using the gestalt principles of enclosure, proximity, similarity, symmetry, connection, closure, and continuity. We have all different types and categorizations of data, and we have the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.