Description: Categorical data is a type of data that can be divided into groups or categories, allowing for effective classification and organization of information. This data is qualitative and non-numeric, meaning it represents characteristics or attributes that cannot be measured in terms of quantity. For example, categorical data can include variables such as car color, pet type, or user preference for a product. The visualization of categorical data is fundamental in data analysis, as it enables analysts and decision-makers to identify patterns, trends, and distributions within the data. Graphical representations, such as bar charts, pie charts, and frequency distribution plots, are common tools used to visualize categorical data, facilitating the understanding of information and the communication of findings. The ability to group data into categories also allows for meaningful comparisons between different groups, which is essential in fields such as market research, sociology, and biology. In summary, categorical data is an integral part of data visualization, providing a framework for effectively organizing and analyzing qualitative information.
