Hey everyone! 👋 I’ve been diving deeper into data visualization lately and thought it’d be great to open up a discussion on what makes a visualization truly effective. With so many tools out there—Tableau, Power BI, D3.js, Python (Matplotlib, Seaborn, Plotly), R (ggplot2)—the technical side is well-covered. But I’m more interested in the design decisions(Read More)

Hey everyone! 👋

I’ve been diving deeper into data visualization lately and thought it’d be great to open up a discussion on what makes a visualization truly effective.

With so many tools out there—Tableau, Power BI, D3.js, Python (Matplotlib, Seaborn, Plotly), R (ggplot2)—the technical side is well-covered. But I’m more interested in the design decisions that take a chart from “meh” to “wow.”

Here are a few questions to kick things off:

  • What’s your go-to chart type for storytelling, and why?

  • How do you balance aesthetics vs. clarity?

  • Ever seen (or made 😅) a beautiful visualization that ended up being misleading?

  • What’s your favorite example of a well-done dashboard or graphic?

Feel free to share examples, tools, tips, or even common mistakes to avoid.

Looking forward to hearing your thoughts and seeing how others approach this craft!