Effective data visualization hinges on good design, surpassing merely selecting the appropriate chart type.
Data visualization serves as a potent tool for conveying intricate information in a captivating manner. Through visualization, our brains can better comprehend and retain the content, heightening its influence. However, when data is improperly visualized, it can have adverse effects. A misguided presentation may diminish the data’s intended message or, even worse, misrepresent it entirely. Hence, it is crucial to ensure accurate and effective data visualization to optimize its impact.

Effective data visualization hinges on good design, surpassing merely selecting the appropriate chart type. It entails presenting information in an effortlessly comprehensible and instinctive way, ensuring minimal viewer effort. However, not all designers possess expertise in data visualization, leading to subpar visual content. To address this, we have identified 10 common data visualization mistakes you might be making and provided quick fixes to rectify them.