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For example, categorical data could include information about favorite colors, types of pets, or preferred modes of transportation. For additional educational resources,. To interpret categorical data, you need to understand the distribution of the data and identify any patterns or trends. This may involve calculating frequencies or percentages for each category or creating visual representations […]
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