Tabular Data Structure

A Tabular Data Structure is a two-dimensional data structure with named columns/named attributes.

• AKA: Tabular Data Object.
• Context:
  • It can (typically) contain a Tabular Data Record.
  • It can (typically) represent Tabular Data Item.
  • It can represent a Tabular Record Set.
  • It can range from being an Unindexed Tabular Data Structure to being an Indexed Tabular Data Structure.
  • It can range from being an Homogeneous Tabular Data Structure to being an Heterogeneous Tabular Data Structure.
  • It can support a Tabular Data Structure Operation.
• Example(s):
  • a pandas.DataFrame Table, such as pandas.DataFrame([2,7]) (instance of a pandas.DataFrame data structure)
  • a Postgres Table, such as .... (instance of a SQL table data structure)
  • an Array Data Structure.
  • a Scala Tabular Data Structure, such as mutable.Map[TupleN[A1, A2, ..., AN], R]
• Counter-Example(s):
  • a Associative Array Data Structure.
  • a One-Dimensional Data Structure.
  • a Linked List Data Structure.
• See: Tuple, pandas.Series.

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References

2013

• http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.html
  • … Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns).

2009

• http://www.extension.umn.edu/distribution/naturalresources/components/DD6097sz.html
  • Data (usually attribute) organized into logical tables. Tables contain items and records or rows and columns.
• http://dcgis.dc.gov/dcgis/cwp/view,A,1191,Q,494483.asp
  • Descriptive data stored in rows and columns in a database that can be linked to spatial data.
• http://www.umich.edu/~ipcaa/GIS/General%20GIS%20Concepts.htm
  • Tabular data consists of attribute tables that define the parameters of the map features. There is really no limit to what the tables can contain ...

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