Components to prepare your data for downstream analysis, this can include altering a table structure, re-ordering data, subsampling data, etc.
Description
This component generates column values that depend on a set of specified conditions.
Inputs
Source table [Table]
Conditional expressions: The UI of this component helps creating a conditional expression involving multiple columns and SQL operators. Each expression will produce a different result, as set on the component.
Result Column [Column]: Select a column that will contain the specified resulting value.
Description
This component casts the content of a column to a given type
Inputs
Source table [Table]
Column [Column]
New type [Selection]
Outputs
Result table [Table]
Description
This component adds a new column with an array containing the values in a set of selected columns.
Inputs
Source table [Table]
Columns
Array column name
Outputs
Result table [Table]
Description
This component creates a new table with an additional column computed using an expression.
Inputs
Source table [Table]
Name for new column [String]
Expression [String]
Outputs
Result table [Table]
External links
Description
This component generates a new table with the same content as the input one, except one of its columns.
The component will fail if the column to remove is the only one in the input table.
Inputs
Source table [Table]
Column [Column]
Outputs
Result table [Table]
External links
Description
This component simplifies the process of modifying table schemas. It allows to select specific columns, with the option to adjust their names and data types as required.
Inputs
Source table [Table]
Columns: The component's UI allows selecting a column, giving a new name and selecting a data type to cast the column.
Outputs
Result table [Table]
Description
This component creates a new column with values extracted from the JSON strings in another column. It uses the Data Warehouse syntax to specify the path to the key that needs to be extracted. See the documentation links below for more information.
Inputs
Source table [Table]
JSON column [Column]
JSON path [expression]
Output
Result table
External links
Description
This component finds a string in one column of a table and replaces it with the specified value from another table.
As an alternative, columns from the lookup table can be added to the original table in those rows where the searched string is found. This is regulated by the Mode parameter.
Inputs
Source table [Table]
Find within column [Column]
Lookup table [Table]
Outputs
Result table [Table]
Description
This component creates a new table with an additional UUID column named id.
Inputs
Source table [Table]
Outputs
Result table [Table]
Description
This component converts a column from geography to geometry data type.
Inputs
Source table [Table]
geography column [Column]
Outputs
Result table [Table]
Description
This component converts a column from geometry to geography data type.
Inputs
Source table [Table]
Geometry column [Column]
Outputs
Result table [Table]
Description
This component create hex color for each distinct value of an input string column. Column values as NULL will be associated to grey value. The component generates a copy of the source with a new string column called: [name_of_input_col] + '_hex_color'.
Inputs
Source table [Table]
Column with category values
Outputs
Result table [Table]
Description
This component filters an input table using the presence or absence of null values in a given column.
Inputs
Source table [Table]
Column [Column]
Outputs
Not null values table [Table]
Null values table [Table]
Description
This component creates a new table with only the N first rows of the input table.
Inputs
Source table [Table]
Number of rows [Number]
Outputs
Result table [Table]
External links
Description
This component computes new values based on a given expression and a set of fields to apply the expression to. Use $a to refer to the value of the current column.
Inputs
Source table[Table]
Expression [String]. The expression to apply
Mode [Selection]. The mode used to put new values in the table
Outputs
Result table [Table]
Description
This component creates a new table containing a new column computed using a multi-row formula based on one or several input columns.
To refer to a value in the previous row, use {colname - 1} and to refer to a value in the next row, use {colname + 1}.
Inputs
Table[Table]
New column name [String]
New column type [Selection]
Outputs
Result table [Table]
Description
This component normalizes the values of a given column.
It adds a new column named '[column_name]_norm'.
Normalization can be computed as 0-1 values or as z-scores
Inputs
Source table [Table]
Column to normalize [Column]
Use z-scores [Boolean].
Outputs
Result table [Table]
Description
This component generates a new table containing the rows of an input one sorted according to the values in one of its columns, and an optional second column.
Columns to use cannot be of type geometry.
Inputs
Table to order [Table]
Column to order by [Column]
Use descending order [Boolean]
Outputs
Result table [Table]
External links
Description
This component creates new columns with values extracted from the JSON string in other columns. It uses the data warehouse syntax to specify the path to the key that needs to be extracted.
Input
Source table. This components expects an input table containing at least one column with a JSON object.
Settings
Select JSON column: This allows selecting a string column that contains a JSON object
Add column name: Type a name for a new column that will be added with the content of a specific JSON key.
Add JSON path: Type a JSON path expression, in the syntax of your data warehouse to identify the key to be extracted
Output
Output table: this component generates a table with the same schema as the input source table, plus an additional column per JSON key specified in the Settings.
External links
Description
This component takes a group of spatial point objects and draws a polygon or polyline in a specific sort order to represent that group of points.
This component can also be used for spatial layer development by translating a collection of GPS data into polygon or polyline objects, where a polygon is a simple bounded region, such as a state boundary, and a polyline contains multiple line segments with any number of points between its start and endpoints, such as a river or road.
Inputs
Build Method [Selection]
Source table [Table]
Source Field [Column]
Outputs
Result table [Table]
Description
This component splits polygon or polyline objects into their component point, line, or region objects.
This is a very specialized component used for spatial layer development. A typical use of this component is to disaggregate complex regions that may contain more than one polygon or to separate a polyline into its individual nodes.
Inputs
Source table [Table]
Spatial Field [Column]
Split To [Selection]
Outputs
Result table [Table]
Description
This component takes an input table and generates a new one in which duplicates rows from the input table have been removed.
Inputs
Source table [Table]
Outputs
Result table [Table]
Description
This component generates a new table with the same content as the input one, renaming one or multiple of its columns.
Inputs
Source table [Table]
Column to rename [Column]
New column name [String]
Outputs
Result table [Table]
External links
Description
This component creates a new table with an additional column containing row numbers.
Inputs
Source table [Table]
Outputs
Result table [Table]
Description
This component generates a new table with a random sample of N rows from an input table.
Inputs
Source table [Table]
Number of rows to sample [Number]
Outputs
Result table [Table]
Description
This component runs an arbitrary SELECT statement.
It generates a new table from a SELECT statement applied on the input table.
Inputs
Source table [Table]
SELECT statement [String]
Outputs
Result table [Table]
External links
Description
This component generates a new table with the unique values that appear in a given column of an input table.
Inputs
Source table [Table]
Column [Column]
Outputs
Result table [Table]
External links
Description
This component filters an input table according to a filter expression based on a single column.
It generates a new table with only the rows of the input table that meet the filter criteria and another one with those that do not meet it.
Inputs
Source table [Table]
Column [Column]
Operator [Selection]
Outputs
Table with rows that pass the filter [Table]
Table with rows that do not pass the filter [Table]
Description
This component filters an input table using a spatial predicate and a filter table.
It generates a new table with only the rows of the input table that meet the filter criteria and another one with those that do not meet it.
Inputs
Source table [Table]
Filter table [Table]
Geo column in source table [Column]
Outputs
Table with rows that pass the filter [Table]
Table with rows that do not pass the filter [Table]
Description
This component sets the SRID of a geo column
Inputs
Source table [Table]
Geo column [Column]
SRID [String]
Outputs
Result table [Table]
Description
This component adds new columns based on splitting the text string in a text column.
Inputs
Table [Table]
Column to split [Column]
Delimiters [String]
Outputs
Result table [Table]
Description
This component rotates table columns into rows.
Inputs
Table to unpivot [Table]
Key columns [Column][Multiple]:The columns to use for identifying rows
Data columns [Column][Multiple]: The columns to use for key-value pairs
Outputs
Result table [Table]
Description
This component separates unique rows and duplicated rows. Unique rows are defined using the values in one or several columns of the input table, as defined by the user.
Inputs
Tables [Table]
Columns to find unique values [Column][Multiple]
Outputs
Table with unique rows [Table]
Table with duplicated rows [Table]
Description
This component filters an input table according to a filter expression.
It generates a new table with only the rows of the input table that meet the filter criteria and another one with those that do not meet it.
Inputs
Source table [Table]
Filter expression [String]
Outputs
Table with rows that pass the filter [Table]
Table with rows that do not pass the filter [Table]
External links
Result table [Table]
New column [Column]Find value column [Column]
Replacement column [Column]
Find mode [Selection]
Case insensitive [Boolean]
Match whole word [Boolean]
Mode [Selection]
Columns to append [Column] [Multiple]: only used if Append field(s) to record mode is selected
Prefix [String]. Only for the case of mode='Create new columns'
Columns [Column][Multiple]. The columns to apply the formula to
Expression [String]
Value for missing row values [Selection]
Column to sort by [Column]
Column to group by [Column]
Disabled (default): When disabled, the resulting normalized values will range between 0 an 1.
Enabled: The normalized value will be calcuated as a z-score or standard score: the number of standard deviations that the value is above or below the mean of the whole column. See reference.
Optional secondary column to order by [Column]
Use descending order in secondary column [Boolean]
Source Field [Column]
Sequence Field [Column]
Value [String]
Geo column in filter table [Column]
Spatial predicate [Selection]
Mode [Selection]. Whether to add new columns or new rows with splitted strings
Number of new columns: Only used if mode = 'Split to columns'
Prefix for new column names [String]: Only used if mode = 'Split to columns'
Extra characters: What to do with extra characters if there are more tokens after dividing the string according to the delimiters than the ones defined in the 'Number of new columns' parameter