# Tabular Data Structure

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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 ...