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<v ->All right, so this week we're gonna talk</v>

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about design and visualization best practices.

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And this is gonna be fairly brief,

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because I can't teach you all of design

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in one module, one brief lecture.

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We're gonna be focusing in specifically

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on data viz design techniques.

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And mostly, it's gonna be me walking you

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through some examples.

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So I will say this, design is a skill

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that must be learned by doing.

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And this class, there's a challenge,

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which is that the assignment,

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the final capstone project,

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you're building this data story

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and I've told you from the get-go

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and this, I think it's written

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in some of the written assignment descriptions,

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you don't need to actually create,

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finally produced in the software designs.

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You don't have to,

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your final project doesn't have to be created

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in Photoshop, PowerPoint, et cetera.

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You can do it the entire thing, pen and paper,

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whiteboard, whatever you want to use.

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So a lot of the stuff that we're gonna talk

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about here today includes subtleties in design

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that are hard or maybe even impossible

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to pull off on a whiteboard.

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So if you decide to go that route for your final project,

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do the best you can to apply what we talk

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about here this week in design.

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But if you end up going into software,

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I definitely will hope to see

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that you really are very thoughtful

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about some of the decisions you need to make in design

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so that your pieces look as, put the best foot forward,

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I guess, and do the best job

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to effectively communicate what needs to be communicated.

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All right, so here we go.