@bitesbybytes: A chart can be technically correct and still be misleading. Good data visualisation isn’t just about making charts look nice — it’s about making information easier to understand. In this series, we explore 4 common chart mistakes and how to fix them: 1. Choosing the wrong chart type 2. Using misleading axes 3. Overloading charts with information 4. Hiding the key insight 💡 The goal isn’t just to show data. It’s to make the story behind the numbers clear. #DataAnalytics #DataVisualization #DataAnalyst #DataStorytelling #data

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Thursday 15 October 2026 04:00:00 GMT