Data Visualization

Data Visualisation Best Practices

Ddebwashis
·Apr 18, 2024·6 min read

Principles and tips that have stuck with me for making charts that actually inform.

Less is more

Remove every pixel that does not earn its place. Labels, gridlines, legends — all should serve the data, not decorate it.

This is paragraph 1. Data science work is part craft and part discipline — the best models are simple, well-validated, and easy to explain. In this post we walk through the intuition, the math just enough to be useful, and a clean implementation you can drop into your own pipeline.

This is paragraph 2. Data science work is part craft and part discipline — the best models are simple, well-validated, and easy to explain. In this post we walk through the intuition, the math just enough to be useful, and a clean implementation you can drop into your own pipeline.

This is paragraph 3. Data science work is part craft and part discipline — the best models are simple, well-validated, and easy to explain. In this post we walk through the intuition, the math just enough to be useful, and a clean implementation you can drop into your own pipeline.

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