Monitoring 101: Collecting the right data

The article "Metric graphs 101: Graphing anti-patterns" details common mistakes made when visualizing data with graphs, specifically focusing on how poor choices can distort understanding. It highlights issues like using misleading scales, inappropriate chart types (like pie charts for comparisons), and cluttered visuals that obscure key insights. Ultimately, the piece advocates for clarity and honesty in data presentation to ensure graphs effectively communicate information instead of misrepresenting it.