While data visualization offers numerous benefits, it also comes with challenges:
Data Quality: Poor quality data can lead to misleading visuals and incorrect insights. Complexity: Creating effective visualizations requires a good understanding of both the data and the visualization tools. Overloading Information: Too much information in one visualization can overwhelm viewers and obscure the main message. Interpretation: Different people may interpret visualizations in different ways, leading to potential misunderstandings.