Last week I introduced mini-projects as one pillar of my graduate visualization course. A interesting outgrow of that activity is a set if data visualization clarity and aesthetics guidelines we developed over time while reviewing the solutions our students submitted for these exercises.
Hello, thanks for this work on a list. As a cartography teacher, I encourage my students to change the defaults parameters of the representation to subdue the grids, borders and other secondary information, too often using 100% black fine lines. Also, I'm sensible to the colors harmony, some colors are too harsh or too often seen in the same palettes, a bit of creativity is encouraged.
Great post. I'm curious, what's your position on clarity vs. aesthetics with line charts? Specifically, I'm wondering about straight lines vs. curved lines. I'd love to see some do's and don'ts around that can of worms.
Hello, thanks for this work on a list. As a cartography teacher, I encourage my students to change the defaults parameters of the representation to subdue the grids, borders and other secondary information, too often using 100% black fine lines. Also, I'm sensible to the colors harmony, some colors are too harsh or too often seen in the same palettes, a bit of creativity is encouraged.
Great post. I'm curious, what's your position on clarity vs. aesthetics with line charts? Specifically, I'm wondering about straight lines vs. curved lines. I'd love to see some do's and don'ts around that can of worms.