Tabular Dataset

A Tabular Dataset is a record set of tabular data records that share the same record schema.

• AKA: Tuple Dataset.
• Context:
  • It can range from being a Tabular File to being a Database Table (such as a tabular data structure instance).
  • It can range from being a Normalized Dataset to being a Denormalized Dataset.
• Example(s):
  • a Relational Database Table.
  • a Joint Probability Table.
  • …
• Counter-Example(s):
  • a Graph Dataset.
  • an Unstructured Record Set.
  • a Vector Record Set.
• See: Relational Table, Graph Dataset, Temporal Dataset, Relational Table.

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References

2013

• http://en.wikipedia.org/wiki/Table_%28database%29
  • In relational databases and flat file databases, a table is a set of data elements (values) that is organized using a model of vertical columns (which are identified by their name) and horizontal rows, the cell being the unit where a row and column intersect. A table has a specified number of columns, but can have any number of rows ^{[citation needed]}. Each row is identified by the values appearing in a particular column subset which has been identified as a unique key index.

2009

• (Johnstone & Lu, 2009) ⇒ Iain M Johnstone, and Arthur Yu Lu. (2009). “On Consistency and Sparsity for Principal Components Analysis in High Dimensions." doi:10.1198/jasa.2009.0121
  • QUOTE: Principal components analysis (PCA) is a classic method for the reduction of dimensionality of data in the form of [math]\displaystyle{ n }[/math] observations (or cases) of a vector with [math]\displaystyle{ n }[/math] variables. Contemporary datasets often have p comparable with or even much larger than n.

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