Data visualization helps us comprehend what data means by putting it in a visual context, such as maps or graphs. This makes the data easier for the human mind to comprehend, making it easier to see trends, patterns, and outliers in large data sets. Data visualization is an important assessment criterion for deep learning since the ultimate goal of artificial intelligence is to create a machine that can grasp and respond to data even better than a person. Data visualization has shown to be important in AI development since it may help both AI engineers and others concerned about AI adoption understand and explain these systems.