Data misinterpretation comes from deliberate or unintentional false data interpretation. Often different data users will interpret data differently. It depends on the level of data literacy and what exactly users need for the data to show. Various influences determine how we see and use data, and wrong representation can lead to incorrect insights and metrics. […]
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