*DATASET Workers ================ .. _Worker_Family_dataset: .. list-table:: dataset Workers :widths: 50 30 10 10 :header-rows: 1 * - Name - Description - Number of Inputs - Number of Outputs * - :ref:`\*DATASET_ADD_CURVES_TO_COLUMN ` - Add curves to a column - 3 - 1 * - :ref:`\*DATASET_ADD_COLUMN ` - Dataset Add Column - 3 - 1 * - :ref:`\*DATASET_ADD_STATIC_COLUMN ` - Combine datasets based on primary keys - 3 - 1 * - :ref:`\*DATASET_ADD_COLUMN_BY_REGEXP ` - Dataset Add Column By Regexp - 5 - 1 * - :ref:`\*DATASET_ADD_COLUMN_BY_EXPRESSION ` - Add column by expression - 3 - 1 * - :ref:`\*DATASET_ADD_ROW ` - Dataset Add Row - 3 - 1 * - :ref:`\*DATASET_ADD_COLUMN_FROM_CURVE_LOOKUP ` - Dataset Add Column From Curve Lookup - 6 - 1 * - :ref:`\*DATASET_ADD_COLUMN_TRANSFORMING_CURVES ` - Dataset Add Column Transforming Curves - 2 - 1 * - :ref:`\*DATASET_COMBINE_COLUMN ` - Combine datasets based on primary keys - 4 - 1 * - :ref:`\*DATASET_COLUMNS_TO_CURVES ` - Dataset Columns To Curves - 4 - 1 * - :ref:`\*DATASET_CREATE_EMPTY ` - Dataset Create Empty - 4 - 1 * - :ref:`\*DATASET_COMBINE_SCALARS ` - Combine scalars - 4 - 1 * - :ref:`\*DATASET_COMPUTE_STAR_RATING ` - Compute the Occupant injury star-rating based on the dataset with values for HICd and Peak value sof Chest, Femur and Neck values - 10 - 1 * - :ref:`\*DATASET_COMPUTE_DERIVATIVES ` - Dataset Compute Derivatives - 6 - 1 * - :ref:`\*DATASET_CREATE_FROM_KEYVALUES ` - Create dataset based on the key values provided - 1 - 1 * - :ref:`\*DATASET_CURVE_TO_BILINEAR_COLUMNS ` - Dataset Curve To Bilinear Columns - 6 - 1 * - :ref:`\*DATASET_COMPUTE_PARETO_FRONT_SORTER ` - Compute sorted pareto front from provided dataset - 6 - 1 * - :ref:`\*DATASET_CURVE_TO_COLUMNS ` - Dataset Curve To Columns - 8 - 1 * - :ref:`\*DATASET_COMPUTE_PARETO_FRONT_OPTIMAL ` - Compute pareto front optimal from provided dataset - 5 - 1 * - :ref:`\*DATASET_CROSSPLOTCOLUMNS ` - Crossplot two columns from a dataset - 4 - 1 * - :ref:`\*DATASET_DIGITIZE_COLUMN ` - Dataset Digitize Column - 3 - 1 * - :ref:`\*DATASET_DROP_COLUMNS ` - Dataset Drop Columns - 2 - 1 * - :ref:`\*DATASET_EXTEND_ROWS ` - Dataset Extend Rows - 2 - 1 * - :ref:`\*DATASET_ENCODER ` - Dataset Encoder - 4 - 1 * - :ref:`\*DATASET_FORMAT_COLUMN ` - Dataset Format Column - 3 - 1 * - :ref:`\*DATASET_FILTER_BY_COLUMN_DIFF ` - Dataset Filter By Column Diff - 4 - 1 * - :ref:`\*DATASET_FILTER_COLUMNS_BY_CORRELATION ` - Dataset Filter Columns By Correlation - 5 - 1 * - :ref:`\*DATASET_FILTER_CURVE_COLUMN ` - Dataset Filter Curve Column - 6 - 1 * - :ref:`\*DATASET_FILTER ` - Dataset Filter - 2 - 1 * - :ref:`\*DATASET_GET_COLUMN_WITH_NOISE ` - Dataset Get Column With Noise - 3 - 1 * - :ref:`\*DATASET_GET_COLUMN_VALUE_BY_CONDITION ` - Dataset Get Column Value By Condition - 4 - 1 * - :ref:`\*DATASET_GET_DEFINE_TABLE ` - Dataset Get Define Table - 3 - 1 * - :ref:`\*DATASET_GROUP_AND_AGGREGATE_BY ` - Dataset Group And Aggregate By - 4 - 1 * - :ref:`\*DATASET_GET_ROWS_BY_CONDITION ` - Dataset Get Rows By Condition - 4 - 1 * - :ref:`\*DATASET_GET_NUM_COLUMNS ` - Dataset Get Num Columns - 1 - 1 * - :ref:`\*DATASET_GET_COLUMN_RATIO ` - Dataset Get Column Ratio - 3 - 1 * - :ref:`\*DATASET_GET_ROW_NEAR_ORIGIN ` - Dataset Get Row Near Origin - 3 - 1 * - :ref:`\*DATASET_GET_COLUMN_NAMES ` - Dataset Get Column Names - 3 - 1 * - :ref:`\*DATASET_GET_CONTEXT ` - Dataset Get Context - 2 - 1 * - :ref:`\*DATASET_GET_NUM_ROWS_BY_CONDITION ` - Dataset Get Num Rows By Condition - 3 - 1 * - :ref:`\*DATASET_GET_COLUMN_VALUES ` - Dataset Get Column Values - 5 - 1 * - :ref:`\*DATASET_GET_ROW_BY_CONDITION ` - Dataset Get Row By Condition - 4 - 1 * - :ref:`\*DATASET_GET_CELL_VALUE_VECTOR ` - Get the cell value from given dataset - 3 - 1 * - :ref:`\*DATASET_GET_GROUPED_SUMMARY ` - Get dataset summary - 3 - 1 * - :ref:`\*DATASET_GET_CURVES_FROM_COLUMN ` - Get curves from a column - 2 - 1 * - :ref:`\*DATASET_GET_MAX_BIN_RANGE ` - Bin values based on Column and return the bin that has the most number of items - 4 - 1 * - :ref:`\*DATASET_GET_CELL_VALUE_KEYVALUE ` - Get the cell value from given dataset - 3 - 1 * - :ref:`\*DATASET_GET_MIN_SAMPLE_SIZE ` - Compute minimum sample size - 5 - 1 * - :ref:`\*DATASET_GET_CELL_VALUE_DATASET ` - Get the cell value from given dataset - 3 - 1 * - :ref:`\*DATASET_GET_CELL_VALUE ` - Get the cell value from given dataset - 4 - 1 * - :ref:`\*DATASET_GET_CELL_VALUE_IMAGE ` - Get the cell value from given dataset - 3 - 1 * - :ref:`\*DATASET_GET_PROGRESSIVE_CRUSH_FACTOR ` - Dataset Get Progressive Crush Factor - 1 - 1 * - :ref:`\*DATASET_GET_CURVE_FROM_COLUMN ` - Curve from Column - 2 - 1 * - :ref:`\*DATASET_GET_NORM ` - Compute the norm of a dataset - 2 - 1 * - :ref:`\*DATASET_GET_SCHEMA ` - Get schema for the columns - 2 - 1 * - :ref:`\*DATASET_GET_NUMERIC_COLUMN_STATS ` - Get Stats for numeric columns - 2 - 1 * - :ref:`\*DATASET_GET_SUMMARY ` - Get dataset summary - 2 - 1 * - :ref:`\*DATASET_JOIN_ROW ` - Join a row to all rows of the destination dataset - 4 - 1 * - :ref:`\*DATASET_JOIN ` - Combine datasets based on primary keys - 8 - 1 * - :ref:`\*DATASET_KEEP_COLUMNS ` - Dataset Keep Columns - 2 - 1 * - :ref:`\*DATASET_MERGE ` - Dataset Merge - 2 - 1 * - :ref:`\*DATASET_NORMALIZE ` - Normalize columns in the dataset - 3 - 1 * - :ref:`\*DATASET_QUERY ` - Dataset Query - 3 - 1 * - :ref:`\*DATASET_REMOVE_OUTLIERS ` - Dataset Remove Outliers - 3 - 1 * - :ref:`\*DATASET_RECONSTRUCT_CURVE_FROM_PREDICTIONS ` - Dataset Reconstruct Curve From Predictions - 7 - 1 * - :ref:`\*DATASET_RENAME_COLUMNS ` - Dataset Rename Columns - 3 - 1 * - :ref:`\*DATASET_RUN_SENTIMENT_ANALYSIS ` - Run sentiment analysis on a dataset column - 6 - 1 * - :ref:`\*DATASET_RENAME_CURVES_IN_COLUMN ` - Dataset Rename Curves In Column - 3 - 1 * - :ref:`\*DATASET_REGRESSION_PREDICT ` - Dataset Regression Predict - 3 - 1 * - :ref:`\*DATASET_REMOVE_UNIQUE_COLUMNS ` - Dataset Remove Unique Columns - 2 - 1 * - :ref:`\*DATASET_REGRESSION_BUILD ` - Dataset Regression Build - 4 - 1 * - :ref:`\*DATASET_REPLACE_COLUMN_VALUE_BY_CONDITION ` - Dataset Replace Column Value By Condition - 3 - 1 * - :ref:`\*DATASET_RECONSTRUCT_BILINEAR_CURVE ` - Dataset Reconstruct Bilinear Curve - 2 - 1 * - :ref:`\*DATASET_RANDOM_SAMPLER ` - Creates a random dataset - 3 - 1 * - :ref:`\*DATASET_REDUCE ` - Reduce Dataset to single column and unify keys - 1 - 1 * - :ref:`\*DATASET_SORT_BY_COLUMN ` - Dataset Sort By Column - 4 - 1 * - :ref:`\*DATASET_SIMULATED_ANNEALING_OPTIMIZER ` - Find the optimize X based on the simulated annealing - 17 - 1 * - :ref:`\*DATASET_SET_CONSTANT_VALUE_BY_COLUMN ` - Dataset Set Constant Value By Column - 3 - 1 * - :ref:`\*DATASET_SCAN_OUT_OF_RANGE_ROWS ` - Scan the dataset and compare its column values to a reference dataset and flag if they are in or out of range of the reference values - 3 - 1 * - :ref:`\*DATASET_SORT_COLUMN_NAMES ` - Dataset Sort Column Names - 4 - 1 * - :ref:`\*DATASET_SYNC_CURVE_COLUMNS ` - Sync X values for the selected columns - 5 - 1 * - :ref:`\*DATASET_SQL_QUERY ` - Dataset Sql Query - 3 - 1 * - :ref:`\*DATASET_SUBTRACT ` - Subtract two datasets and return the difference - 3 - 1 * - :ref:`\*DATASET_SORT_BY_KEYVALUE ` - Dataset Sort By Keyvalue - 6 - 1 * - :ref:`\*DATASET_SET_CELL_VALUE ` - Set the cell value from given dataset - 4 - 1 * - :ref:`\*DATASET_SORT_BY_ROW ` - Dataset Sort By Row - 8 - 1 * - :ref:`\*DATASET_SORT_BY_DATASET ` - Dataset Sort By Dataset - 7 - 1 * - :ref:`\*DATASET_TRIM_COLUMN_NAMES_AND_VALUES ` - Dataset Trim Column Names And Values - 1 - 1 * - :ref:`\*DATASET_TO_KEYVALUE ` - Dataset To Keyvalue - 1 - 1 * - :ref:`\*DATASET_TO_DOE_PARAMETERS ` - Dataset To Doe Parameters - 3 - 1 * - :ref:`\*DATASET_UNIQUE ` - Checks dataset for unique column name - 2 - 1 * - :ref:`\*DATASET_UNIQUENUM ` - Compute the unique number of occurences in values - 2 - 1 * - :ref:`\*DATASET_UNIFY_KEYS ` - Unify columns in the dataset - 2 - 1 * - :ref:`\*DATASET_WRITE_TO_FILE ` - Write dataset to file - 2 - 1