Final answer:
Visual analytics combines data visualization techniques with interactive data analysis. It can be applied to Carvana's data set in Kaggle by creating visualizations to understand patterns, trends, and relationships within the data.
Step-by-step explanation:
Visual analytics is a field that combines data visualization techniques with interactive data analysis. It involves using visual tools such as charts, graphs, and maps to explore, analyze, and communicate complex data sets.In the case of Carvana's data set in Kaggle, visual analytics can be applied by creating visualizations to understand patterns, trends, and relationships within the data. For example, you can create a scatter plot to visualize the relationship between car mileage and price, or a bar chart to compare the sales of different car models.By using visual analytics techniques, Carvana can gain insights from their data set, identify areas of improvement, and make data-driven decisions to optimize their operations.