Uses of Interface
tech.tablesaw.api.CategoricalColumn

Packages that use CategoricalColumn

Package	Description
tech.tablesaw.aggregate
tech.tablesaw.api
tech.tablesaw.table

Uses of CategoricalColumn in tech.tablesaw.aggregate

Methods in tech.tablesaw.aggregate with parameters of type CategoricalColumn

Modifier and Type	Method	Description
Table	Summarizer.by(CategoricalColumn<?>... columns)	Similar in intent to the SQL "group by" statement, it produces a table with one row for each subgroup of the output data containing the result of applying the summary functions to the subgroup
static Table	CrossTab.columnPercents(Table table, CategoricalColumn<?> column1, CategoricalColumn<?> column2)	Returns a table containing the column percents made from a source table, after first calculating the counts cross-tabulated from the given columns
static Table	CrossTab.counts(Table table, CategoricalColumn<?> column1, CategoricalColumn<?> column2)	Returns a table containing two-dimensional cross-tabulated counts for each combination of values in column1 and column2
Summarizer	Summarizer.groupBy(CategoricalColumn<?>... columns)	TODO: research how the groupBy() methods differ from the by() methods? Are they synonyms?
static Table	PivotTable.pivot(Table table, CategoricalColumn<?> column1, CategoricalColumn<?> column2, NumericColumn<?> values, AggregateFunction<?,?> aggregateFunction)	Returns a table that is a rotation of the given table pivoted around the key columns, and filling the output cells using the values calculated by the aggregateFunction when applied to the values column grouping by the key columns
static Table	CrossTab.rowPercents(Table table, CategoricalColumn<?> column1, CategoricalColumn<?> column2)	Returns a table containing the row percents made from a source table, after first calculating the counts cross-tabulated from the given columns
static Table	CrossTab.tablePercents(Table table, CategoricalColumn<?> column1, CategoricalColumn<?> column2)	Returns a table containing the table percents made from a source table, after first calculating the counts cross-tabulated from the given columns

Uses of CategoricalColumn in tech.tablesaw.api

Classes in tech.tablesaw.api that implement CategoricalColumn

Modifier and Type	Class	Description
class	BooleanColumn	A column that contains boolean values
class	DateColumn	A column that contains int-encoded local date values
class	DateTimeColumn	A column that contains long-integer encoded (packed) local date-time values
class	InstantColumn	A column that contains long-integer encoded (packed) instant values.
class	IntColumn	A column that contains int values
class	LongColumn	A column that contains long values
class	ShortColumn	A column that contains short values
class	StringColumn	A column that contains String values.
class	TimeColumn	A column that contains int-encoded local time values

Methods in tech.tablesaw.api that return types with arguments of type CategoricalColumn

Modifier and Type	Method	Description
List<CategoricalColumn<?>>	Table.categoricalColumns(String... columnNames)	Returns only the columns whose names are given in the input array

Methods in tech.tablesaw.api with parameters of type CategoricalColumn

Modifier and Type	Method	Description
Table	Table.countBy(CategoricalColumn<?>... groupingColumns)	Returns a table containing two columns, the grouping column, and a column named "Count" that contains the counts for each grouping column value
Table	Table.pivot(CategoricalColumn<?> column1, CategoricalColumn<?> column2, NumericColumn<?> column3, AggregateFunction<?,?> aggregateFunction)	Returns a pivot on this table, where: The first column contains unique values from the index column1 There are n additional columns, one for each unique value in column2 The values in each of the cells in these new columns are the result of applying the given AggregateFunction to the data in column3, grouped by the values of column1 and column2
TableSliceGroup	Table.splitOn(CategoricalColumn<?>... columns)	Returns a non-overlapping and exhaustive collection of "slices" over this table.
Table[]	Table.stratifiedSampleSplit(CategoricalColumn<?> column, double table1Proportion)	Splits the table into two stratified samples, this uses the specified column to divide the table into groups, randomly assigning records to each according to the proportion given in trainingProportion.

Uses of CategoricalColumn in tech.tablesaw.table

Methods in tech.tablesaw.table that return CategoricalColumn

Modifier and Type	Method	Description
CategoricalColumn<?>	Relation.categoricalColumn(int columnNumber)	Returns the CategoricalColumn at the given 0-based index if present.
CategoricalColumn<?>	Relation.categoricalColumn(String columnName)	Returns a CategoricalColumn with the given name if it is present in this Relation.

Methods in tech.tablesaw.table that return types with arguments of type CategoricalColumn

Modifier and Type	Method	Description
List<CategoricalColumn<?>>	Relation.categoricalColumns(String... columnName)	Returns the columns whose names are given in the input array

Methods in tech.tablesaw.table with parameters of type CategoricalColumn

Modifier and Type	Method	Description
static StandardTableSliceGroup	StandardTableSliceGroup.create(Table original, CategoricalColumn<?>... columns)	Returns a viewGroup splitting the original table on the given columns.