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ata is clean and formatted correctly before creating a bar chart race. This can be achieved by removing any outliers, inconsistencies, or missing values. Once the data is clean, you can then use software or programming tools to create the bar chart race visualizations. This process involves sorting the data, setting the parameters for the race (such as duration and speed), and finally exporting the visualization. By following these steps, you can easily create engaging bar chart races to visualize change over time using your own data sets.
