Tabular Data Structure
(Redirected from 2-dimensional DS with named rows and named columns)
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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]
- a pandas.DataFrame Table, such as
- Counter-Example(s):
- See: Tuple, pandas.Series.
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 ...