Table

Table Tools handle tabular and geospatial file data within the modeling environment. The tools are divided into three categories: File I/O, for importing and exporting CSV, XLS, and GeoJSON data; Data Preview and Manipulation, for inspecting, cleaning, and transforming datasets; and Data Classification, for organizing numeric data into meaningful groups.

File I/O

Tool	Function	Input			Output
		Initial	Name	Description	Initial	Name	Description
CSV Import	Import CSV File	File	File Path	Path to the CSV file	Head	Headers	Headers as a list
					Data	Data Tree	CSV data organized as a tree (columns as branches)
CSV Export	Export as CSV File	Head	Headers	Column headers for CSV	Stat	Status	Export status message
		Data	Data Tree	Data to export as a tree
		Path	File Path	File path to export
XLS Import	Import XLS File	File	File Path	Path to the CSV file	Head	Headers	Headers as a list
					Data	Data Tree	CSV data organized as a tree (columns as branches)
XLS Export	Export as XLS File	Head	Headers	Column headers for CSV	Stat	Status	Export status message
		Data	Data Tree	Data to export as a tree
		Path	File Path	File path to export
GEOJSON Import	Import GeoJSON files and convert to Rhino geometry	File	File Path	Path to the GeoJSON file	Crv	Curves	LineStrings and MultiLineStrings
		Scale	Scale	Scale multiplier	Pts	Points	Points and MultiPoints
		EPSG	EPSG Code	Input EPSG code (default 4326 = WGS84), auto-detected from the file's CRS when present	Poly	Polygons	Polygons as Breps
					Prop	Properties	Feature properties as JSON
GEOJSON Export	Convert Rhino geometry and export as a GeoJSON file	Pts	Points	Points to export as Point features	GJ	GeoJSON String	Exported GeoJSON as string
		Crv	Curves	Curves to export as LineString features	Path	File Path	Path to exported file
		Poly	Polygons	Polygons to export as Polygon features	Count	Feature Count	Number of features exported
		File	Output File	Full path to output GeoJSON file
		EPSG	CRS/EPSG	EPSG code (e.g., 4326 for WGS84, 3857 for Web Mercator)
		Props	Properties	JSON properties for each feature (optional, one per feature)

Data Preview & Manipulation

Tool	Function	Input			Output
		Initial	Name	Description	Initial	Name	Description
Table Preview	Preview CSV or XLS File	Head	Headers	Column headers for CSV	Prev	Formatted Preview	Formatted CSV preview with padding
		Data	Data Tree	Data to export as a tree
Column Add	Add new column in data tree	Bh	Base Headers	Headers of the base CSV	Uh	Updated Headers	Combined headers of the updated CSV
		Bd	Base Data Tree	Data tree of the base CSV	Ud	Updated Data Tree	Updated CSV data as a tree
		Nh	New Headers	Headers of the new columns
		Nd	New Data Tree	Data tree of the new columns
Column Remove	Remove column in data tree	Head	Headers	List of CSV headers	Uh	Updated Headers	Updated headers
		Data	Data Tree	CSV data organized as a tree (columns as branches)	Ud	Updated Data Tree	Updated CSV data as a tree
		Rh	Header to Remove	Header of the column to remove
Pivot by Header	Pivot data by a specific column header	Data	Data Tree	Data as tree	Group	Grouped Data	Grouped data as a tree
		Key	Group Key	Name of the header to use for grouping key
		Val	Value Column	Name of the header to extract values from
		Head	Remove Header	Remove header values in each group
		Dups	Dremove Duplicates	Remove duplicate values in each group

Data Classification

Tool	Function	Input			Output
		Initial	Name	Description	Initial	Name	Description
Interval Classifier	Divides numeric data into equal-width interval	N	Numbers	List of values to classify	Max	Max	Maximum value in list
		n	Interval Segments	Number of interval division	Min	Min	Minimum value in list
					I	Intervals	List of numeric interval strings

Important Tips

• Ensure all input files follow the required format, structure, and encoding (e.g., consistent delimiters, headers, and data types).
• Verify coordinate systems, units, and scale before importing to avoid misalignment or incorrect calculations.
• Clean and validate datasets in advance by removing null values, duplicates, or inconsistent entries.
• When exporting data, clearly define attribute fields and naming conventions to maintain compatibility with GIS, CAD, or external analysis tools.
• Use incremental exports during iterative workflows to track changes and simplify troubleshooting.
• Always cross-check imported and exported data against the source files to confirm accuracy and completeness.