Symbolic Data Analysis (SDA) is a branch of statistical data analysis that focuses on the interpretation and analysis of data that can be represented symbolically, rather than just numerically. Unlike traditional data analysis methods that typically work with single values (like means and variances), symbolic data analysis helps to handle more complex data structures, such as intervals, distributions, and other forms of summary statistics.
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