Several terms are used to describe the structure of instances of a dataset. For example, an instance can be 'univariate' if it depends on only one variable or 'multivariate' if it depends on 2 or more variables. I wonder if there are technical terms to distinguish the structure of a, let's call it a 'tuple', and a 'time series' or 'sequence'. Here are two examples that I am trying to describe or distinguish structurally:
The left example is a time series, where all 11 samples belong to one instance. The right example is a collection of 'tuples' (if that is the correct term), where each row represents a separate instance.
I always refer to the term 'tuple' here, because the concept seems similar to me with the record in a database or the representation of points from mathematics. I am not sure if 'time series' and 'tuple' are the correct terms to describe how many samples an instance consists of. The terms should be analogous to uni/multivariate to describe the number of features in an instance.
Hence my question:
If univariate/multivariate describes an instance in the horizontal, what terms are used to describe an instance vertically?