SAP ABAP Data Element - Index R, page 46
- R-1 R-2 R-3 R-4 R-5 R-6 R-7 R-8 R-9 R-10 R-11 R-12 R-13 R-14 R-15 R-16 R-17 R-18 R-19 R-20 R-21 R-22 R-23 R-24 R-25 R-26 R-27 R-28 R-29 R-30 R-31 R-32 R-33 R-34 R-35 R-36 R-37 R-38 R-39 R-40 R-41 R-42 R-43 R-44 R-45 R-46 R-47 R-48 R-49 R-50 R-51 R-52 R-53 R-54 R-55 R-56 R-57 R-58 R-59 R-60 R-61 R-62 R-63
Data Element - R
| # | Data Element | Short Description | Domain | Data Type |
|---|---|---|---|---|
| 1 | ABC Analysis: Cumulated Key Figure Value in Percent | DEC | ||
| 2 | ABC Analysis: Cumulated Number of Objects in Percent | DEC | ||
| 3 | ABC Analysis: Line Color in ALV | CHAR | ||
| 4 | ABC Analysis: Maximum Number of Classes | INT4 | ||
| 5 | ABC Analysis: Package Number for Cumulated Distribution | INT4 | ||
| 6 | ABC Analysis: Ranking Position of Data Record in Result | NUMC | ||
| 7 | ABC Analysis: Ranking Position of Data Record in Its Class | NUMC | ||
| 8 | ABC Analysis: No. of Records Classified Successfully | INT4 | ||
| 9 | ABC Analysis: Number of Nonclassified Records | INT4 | ||
| 10 | Remaining Class | SSTR | ||
| 11 | Number of Top Rankings | INT4 | ||
| 12 | Number of Top Rankings within a Class | INT4 | ||
| 13 | ABC Analysis: Number of Classes Used | INT4 | ||
| 14 | Maintenance of master data is relevant for authorization | CHAR | ||
| 15 | Materialize CHAVL-Based Queries | CHAR | ||
| 16 | Materialization of Read Data | CHAR | ||
| 17 | Create as New Index (BWA Index) | CHAR | ||
| 18 | Internal number of the request containing the request | NUMC | ||
| 19 | Diagram title | CHAR | ||
| 20 | Flag: Check referential integrity of navigation attributes | CHAR | ||
| 21 | Status Number for MD Clustering | NUMC | ||
| 22 | Activate Master Data | CHAR | ||
| 23 | Flag: DataSources poss. return duplicate data records | CHAR | ||
| 24 | Flag: Handling of duplicate data records | CHAR | ||
| 25 | Text of MD Usage Type for Where-Used-Check | CHAR | ||
| 26 | New MD Deletion - Simulation Mode | CHAR | ||
| 27 | Name of a Data Mining Connection | CHAR | ||
| 28 | Name of Factory Class | CHAR | ||
| 29 | Instance ID - (Data Mining Vendor) | CHAR | ||
| 30 | Indicator: Duplicated Data Record Handling | CHAR | ||
| 31 | Insert Only Flag | CHAR | ||
| 32 | Change Mode of an Attribute | CHAR | ||
| 33 | Deletion Defaults | CHAR | ||
| 34 | Display Only | CHAR | ||
| 35 | Attribute may be used for the Filter | CHAR | ||
| 36 | Display Order | INT4 | ||
| 37 | Initial value for random number generator | DEC | ||
| 38 | Rounding Unit | DEC | ||
| 39 | Reference to model | REF | ||
| 40 | Reference to Source | REF | ||
| 41 | XVALUE Summary | STRG | ||
| 42 | Indicator: Reorganization of P Table (Non-Time-Depndt Attr.) | CHAR | ||
| 43 | Indicator: Reorganization of Q Table (Time-Dependent Attr.) | CHAR | ||
| 44 | Indicator: Reorganization of T-Table (Texts) | CHAR | ||
| 45 | Table class of the master table | CHAR | ||
| 46 | Display Technical Master Data Records | CHAR | ||
| 47 | Title of a screen | CHAR | ||
| 48 | RSDMD_R_MDMT | REF | ||
| 49 | Batch (first, last, prev,next) | CHAR | ||
| 50 | Cardinality of the itemset | INT2 | ||
| 51 | Cardinality | CHAR | ||
| 52 | Confidence of the association rule | DEC | ||
| 53 | Confidence of the association rule | CHAR | ||
| 54 | Source | CHAR | ||
| 55 | Creation Date of Condition | DATS | ||
| 56 | Maximum no. of depending items | INT2 | ||
| 57 | Depending Items | CHAR | ||
| 58 | Enumerated ID | NUMC | ||
| 59 | Itemset | CHAR | ||
| 60 | Item guid | CHAR | ||
| 61 | Item ID | CHAR | ||
| 62 | Item ID | NUMC | ||
| 63 | Item ID | NUMC | ||
| 64 | Maximum no. of leading items | INT2 | ||
| 65 | Leading items | CHAR | ||
| 66 | Lift of the association rule | DEC | ||
| 67 | Lift of the association rule | CHAR | ||
| 68 | Large itemset ID | NUMC | ||
| 69 | Logical system | CHAR | ||
| 70 | Maximum no. of large item sets / rules to be retrieved | INT4 | ||
| 71 | Maximum order of item sets | INT2 | ||
| 72 | Association rule ID | NUMC | ||
| 73 | Association rule ID | RAW | ||
| 74 | Support of the Itemset | DEC | ||
| 75 | Support of the Itemset | DEC | ||
| 76 | Support of the Itemset | FLTP | ||
| 77 | Support of the Itemset | CHAR | ||
| 78 | Target group reference | CHAR | ||
| 79 | Target group reference | CHAR | ||
| 80 | Top N | INT4 | ||
| 81 | Transaction ID | CHAR | ||
| 82 | Transaction ID | NUMC | ||
| 83 | Transaction count | NUMC | ||
| 84 | User name | CHAR | ||
| 85 | Clustering Algorithms | CHAR | ||
| 86 | Attribute Value | DEC | ||
| 87 | Number of Binning Intervals for the Continuous Mod Fields | DEC | ||
| 88 | For weight distribution in continuous type attribute | CHAR | ||
| 89 | Min. Fraction of Change in Cluster Location | DEC | ||
| 90 | Cluster Description | CHAR | ||
| 91 | Min. Fraction of Inter Cluster Hops | DEC | ||
| 92 | Cluster Identification | NUMC | ||
| 93 | Model field weight | DEC | ||
| 94 | Default Value | CHAR | ||
| 95 | Distance measures | DEC | ||
| 96 | Unique ID for each Input record | NUMC | ||
| 97 | Index | DEC | ||
| 98 | Absolute Index | DEC | ||
| 99 | Max Distinct Values allowed for attributes | DEC | ||
| 100 | Missing Range Handling | CHAR | ||
| 101 | Number of Clusters | DEC | ||
| 102 | Number of Iterations | DEC | ||
| 103 | Percentage in Distribution | DEC | ||
| 104 | Probability of the predicted result | DEC | ||
| 105 | Random number | FLTP | ||
| 106 | Sample Identification | NUMC | ||
| 107 | Second Best Proposed Cluster ID | NUMC | ||
| 108 | Threshold for mean differences | DEC | ||
| 109 | Threshold for mean differences | DEC | ||
| 110 | Transformation Type | CHAR | ||
| 111 | Value ID for Attr_name & Value combination | NUMC | ||
| 112 | Weight Calculation for Unspecified Ranges | CHAR | ||
| 113 | Accuracy of Tree/Rule | DEC | ||
| 114 | Attribute Values | CHAR | ||
| 115 | Type Of Decision Tree Algorithm | CHAR | ||
| 116 | Attribute ID (Internal) | NUMC | ||
| 117 | Attribute Position in DDIC Table | INT2 | ||
| 118 | Attribute Values | CHAR | ||
| 119 | Prediction Attribute Identifier | NUMC | ||
| 120 | Value of the prediction field in the data | CHAR | ||
| 121 | Probability of the prediction | DEC | ||
| 122 | Long Width Attribute to hold Continuous Values | DEC | ||
| 123 | Long Width Attribute to hold Continuous Values | DEC | ||
| 124 | Default Attribute Value | CHAR | ||
| 125 | Enumerated Value | NUMC | ||
| 126 | Perform Extended Pruning | CHAR | ||
| 127 | Fraction | DEC | ||
| 128 | Fraction | DEC | ||
| 129 | Frequency Calculation Methods | CHAR | ||
| 130 | Information Gain Threshold | DEC | ||
| 131 | Generate Summary Result? | CHAR | ||
| 132 | Index (for DB Field Positions etc) | INT4 | ||
| 133 | Information Gains | DEC | ||
| 134 | Maximum Sample Size (in %) | DEC | ||
| 135 | Minimum Leaf Node Accuracy (in %) | DEC | ||
| 136 | Minimum Leaf Node Cases | DEC | ||
| 137 | Node Identifier | NUMC | ||
| 138 | Node Type | CHAR | ||
| 139 | Node Operator | CHAR | ||
| 140 | Consider blank values | CHAR | ||
| 141 | Perform Pruning | CHAR | ||
| 142 | Class Values | CHAR | ||
| 143 | Support in Training Data for Predicted Case | DEC | ||
| 144 | Support in Training Data for Predicted Case | DEC | ||
| 145 | Unique Record ID | NUMC | ||
| 146 | Perform Relevance Check on Model Fields | CHAR | ||
| 147 | Relevance Type - TOPN / Threshold | CHAR | ||
| 148 | Use TOPN Relevant Attributes | DEC | ||
| 149 | Rule ID (Applicable for Ruleset & Rules) | NUMC | ||
| 150 | Pruner Type for Rules | CHAR | ||
| 151 | Run as Evaluation | CHAR | ||
| 152 | Status of Rule or Node | CHAR | ||
| 153 | Unique Record ID - Specific Only for Decision Tree | NUMC | ||
| 154 | Get the Next ID for creating the Table | NUMC | ||
| 155 | ID for Tree Related IDs | NUMC | ||
| 156 | Pruner Type for Trees | CHAR | ||
| 157 | Use Sampling | CHAR | ||
| 158 | Attribute Values | CHAR | ||
| 159 | Where Command | CHAR | ||
| 160 | Initial Sample Size (in %) | DEC | ||
| 161 | ABC Output | CHAR | ||
| 162 | Input data field | CHAR | ||
| 163 | Field Type - Model Signature field / Prediction Output Field | CHAR | ||
| 164 | Transform Data using Data Mining Prediction | CHAR | ||
| 165 | Transform Data using ABC Classification | CHAR | ||
| 166 | Transform Data using Clustering Prediction | CHAR | ||
| 167 | Transform Data using Decision Tree Prediction | CHAR | ||
| 168 | Transform Data using Scoring Prediction | CHAR | ||
| 169 | Transform Data using Weighted Table Score Prediction | CHAR | ||
| 170 | Output field has ranks? | CHAR | ||
| 171 | Mapped by Rank ? | CHAR | ||
| 172 | Is Mapping Mandatory | CHAR | ||
| 173 | New data field | CHAR | ||
| 174 | Is a primary prediciton field | CHAR | ||
| 175 | Prediction Parameter - Name | CHAR | ||
| 176 | Generic Parameter - Value | STRG | ||
| 177 | Param Value (RFC) | CHAR | ||
| 178 | Rank | INT2 | ||
| 179 | Rank or Value | CHAR | ||
| 180 | Target Value | STRG | ||
| 181 | Target Value (RFC) | CHAR | ||
| 182 | Analytical Method | CHAR | ||
| 183 | Analytical Method Name | CHAR | ||
| 184 | Analytical Method Type | NUMC | ||
| 185 | ANSO Object | CHAR | ||
| 186 | Attribute DBName | CHAR | ||
| 187 | Attribute Values | CHAR | ||
| 188 | Attribute Values | CHAR | ||
| 189 | Batch Job ID | CHAR | ||
| 190 | Batch Job GUID | RAW | ||
| 191 | Process Type | CHAR | ||
| 192 | Content Type Description | CHAR | ||
| 193 | Boolean ( 'X' or ' ' ) | CHAR | ||
| 194 | Data Element for Character Boolean | CHAR | ||
| 195 | Changes Flag | CHAR | ||
| 196 | Maximum length of the char field | NUMC | ||
| 197 | Model Field Value (High) | CHAR | ||
| 198 | Higher value of an interval | STRG | ||
| 199 | Model Field ID | CHAR | ||
| 200 | Model Field Name | CHAR | ||
| 201 | Model Field Value (low) | CHAR | ||
| 202 | Model Field Value GUID | CHAR | ||
| 203 | Mapped value | CHAR | ||
| 204 | Mapped Value | STRG | ||
| 205 | Operator for Model Field Value | CHAR | ||
| 206 | Model Field Value SIGN | CHAR | ||
| 207 | Column Value | STRG | ||
| 208 | Individual Weights | DEC | ||
| 209 | Value processing type | CHAR | ||
| 210 | Name of Data Mining Vendor specific connection parameter | CHAR | ||
| 211 | Value of a Data Mining Vendor specific connection parameter | CHAR | ||
| 212 | Content Type ID | CHAR | ||
| 213 | Content Type Description | CHAR | ||
| 214 | Counts (Occurences, Frequency Distributions etc) | DEC | ||
| 215 | Small Counts | DEC | ||
| 216 | RFC Engines - Data access type - via File or DB | CHAR | ||
| 217 | Type of Object in the Source | CHAR | ||
| 218 | Date Precision | NUMC | ||
| 219 | Source GUID | CHAR | ||
| 220 | Source Name | CHAR | ||
| 221 | Source Parameter GUID | CHAR | ||
| 222 | Data Store | CHAR | ||
| 223 | Data Type | CHAR | ||
| 224 | Distribution Type ID | CHAR | ||
| 225 | Distribution Type Description | CHAR | ||
| 226 | DataMining Object Type | CHAR | ||
| 227 | Display name for elements in Source | CHAR | ||
| 228 | Allow Duplicate Key | CHAR | ||
| 229 | Engine Short Code | CHAR | ||
| 230 | Expected Quality of Model | CHAR | ||
| 231 | Fields of the local store | CHAR | ||
| 232 | Type of Object in the Source | CHAR | ||
| 233 | Field Seperator | CHAR | ||
| 234 | File Type (ASCII/BIN) | CHAR | ||
| 235 | Function Name | CHAR | ||
| 236 | Function Parameters | CHAR | ||
| 237 | True if additional inserts are allowed after training | CHAR | ||
| 238 | Flag Indicating Input Variable | CHAR | ||
| 239 | Instance ID | INT4 | ||
| 240 | IOBJ Type for BW Upload | CHAR | ||
| 241 | Relation between Info-objects used | CHAR | ||
| 242 | Language ID | LANG | ||
| 243 | Description | CHAR | ||
| 244 | Model Field Description | CHAR | ||
| 245 | Language Description GUID | CHAR | ||
| 246 | Logical system from which message originates | CHAR | ||
| 247 | Field in log parameter | CHAR | ||
| 248 | Message Log GUID | RAW | ||
| 249 | Message Types | CHAR | ||
| 250 | Max. Number of Trials | DEC | ||
| 251 | Message Text | CHAR | ||
| 252 | ABC Analysis Source available for Extraction | CHAR | ||
| 253 | Association Discovery Source available for Extraction | CHAR | ||
| 254 | Association Discovery Source available for Extraction | CHAR | ||
| 255 | Clustering Source available for Extraction | CHAR | ||
| 256 | Decision Tree Source available for Extraction | CHAR | ||
| 257 | Scoring Source available for Extraction | CHAR | ||
| 258 | Mining Model ID | RAW | ||
| 259 | Mining Source ID | CHAR | ||
| 260 | Analytical Model | CHAR | ||
| 261 | User who has created the model | CHAR | ||
| 262 | Time Stamp of model creation | CHAR | ||
| 263 | User who has modified the model | CHAR | ||
| 264 | Time Stamp of model modification | CHAR | ||
| 265 | Model Name | CHAR | ||
| 266 | Model Type | CHAR | ||
| 267 | Message Parameter Name | CHAR | ||
| 268 | Total Length of Numeric Field | NUMC | ||
| 269 | Number of digits to the right of the decimal point | NUMC | ||
| 270 | Information for shipment of models | CHAR | ||
| 271 | Filter options for DT | CHAR | ||
| 272 | Flag Indicating Output Variable | CHAR | ||
| 273 | Parameter Name | CHAR | ||
| 274 | Parameter Type (Column or Model) | CHAR | ||
| 275 | Parameter Value GUID | CHAR | ||
| 276 | Data Type | CHAR | ||
| 277 | Default value of the parameter | CHAR | ||
| 278 | Parameter Value as String | STRG | ||
| 279 | Domain Name | CHAR | ||
| 280 | Field Length | NUMC | ||
| 281 | Parameter has Intervals | CHAR | ||
| 282 | Parameter Value ( High) | CHAR | ||
| 283 | Is the parameter a table type | CHAR | ||
| 284 | Parameter Mandatory | CHAR | ||
| 285 | Operator for Parameter Value | CHAR | ||
| 286 | Parameter Value SIGN | CHAR | ||
| 287 | Parameter type ( Trainin, Prediction, Evaluation or All ) | CHAR | ||
| 288 | Parameter Value ( low ) | CHAR | ||
| 289 | Percentage | DEC | ||
| 290 | True if creation of a model based on XML string is allowed | CHAR | ||
| 291 | Model field is predictable | CHAR | ||
| 292 | Indicates Expected time for Prediction | CHAR | ||
| 293 | PREDICTION DATA TYPE | CHAR | ||
| 294 | Number of Prediction the service can provide | NUMC | ||
| 295 | Measure of Prediction Accuracy | DEC | ||
| 296 | Prediction Output Field | CHAR | ||
| 297 | Profile Set Text | CHAR | ||
| 298 | Processes supported by each service | CHAR | ||
| 299 | If Range for the values is allowed | CHAR | ||
| 300 | Border Range | CHAR | ||
| 301 | Target CRM System | CHAR | ||
| 302 | Reference to Model Field Object | REF | ||
| 303 | Indicates the level of scalability of the service | CHAR | ||
| 304 | Search Stirng | CHAR | ||
| 305 | Service Parameter GUID | CHAR | ||
| 306 | Set ID - Unique Record Identifier | INT4 | ||
| 307 | Search in which field | CHAR | ||
| 308 | Indicates what search has to be done | CHAR | ||
| 309 | Source Field Name | CHAR | ||
| 310 | Rounding Type | CHAR | ||
| 311 | Service Type (related to Table Namespace) | CHAR | ||
| 312 | Service Type GUID | CHAR | ||
| 313 | Analytical service type Name | CHAR | ||
| 314 | Status of Model and Source | CHAR | ||
| 315 | Status of Model and Source | CHAR | ||
| 316 | Short text | CHAR | ||
| 317 | Support Check Type - for General | CHAR | ||
| 318 | Support Check Type - for General | CHAR | ||
| 319 | Support Check Type - for Prediction | CHAR | ||
| 320 | Support Check Type - for Training | CHAR | ||
| 321 | Task Type | CHAR | ||
| 322 | Text | CHAR | ||
| 323 | Total | NUMC | ||
| 324 | Indicates Expected time for Training | CHAR | ||
| 325 | Indicating Training, Prediction or Evaluation | CHAR | ||
| 326 | Uploadable Field | CHAR | ||
| 327 | Use of the Model Field Values | CHAR | ||
| 328 | Individual Weights | DEC | ||
| 329 | Cumulative Weights | DEC | ||
| 330 | Cumulative Weights | FLTP | ||
| 331 | Coordinate | INT4 | ||
| 332 | Score | FLTP | ||
| 333 | Data Record Number | INT4 | ||
| 334 | Status of ABC Analysis | CHAR | ||
| 335 | ABC: Cumulated Total | FLTP | ||
| 336 | ABC: MAX Value in the Package | FLTP | ||
| 337 | ABC: MIN Value in the Package | FLTP | ||
| 338 | Package Number | NUMC | ||
| 339 | ABC: Mean Value for Package | FLTP | ||
| 340 | ABC: Number of Values per Package | INT4 | ||
| 341 | ABC: Total of Values in the Package | FLTP | ||
| 342 | Percentage Value (ABC) | DEC | ||
| 343 | Column Coordinate | NUMC | ||
| 344 | Status Number of the Model Column | NUMC | ||
| 345 | Data Category | CHAR | ||
| 346 | D&B Scoring: Analysis Date | DATS | ||
| 347 | D-U-N-S Number | NUMC | ||
| 348 | Key Figure (Guid) | CHAR | ||
| 349 | Record ID | NUMC | ||
| 350 | (Partial) Score | CHAR | ||
| 351 | (Partial) Score | DEC | ||
| 352 | Query (Cube/Compid) or View ID (30 Characters) | CHAR | ||
| 353 | DEC Field for Values | DEC | ||
| 354 | Inclusion of Interval Borders | CHAR | ||
| 355 | Selection of Nominal Values | CHAR | ||
| 356 | Function continuously contant or piecewise constant | CHAR | ||
| 357 | Default Score | DEC | ||
| 358 | Default Partial Score | DEC | ||
| 359 | Model Field Weighting | DEC | ||
| 360 | Discretize Score Values | CHAR | ||
| 361 | Parameter: Identical Interval Length | CHAR | ||
| 362 | Score = Value | CHAR | ||
| 363 | Inclusion of Left or Right Border | CHAR | ||
| 364 | Parameter: Key for the Data Record? | CHAR | ||
| 365 | Prediction Variable | CHAR | ||
| 366 | Smallest Value in the Area of Definition | DEC | ||
| 367 | Borders for Score Values: Maximum Value | FLTP | ||
| 368 | Minimum Number of Data Records | INT4 | ||
| 369 | Borders for Score Values: Minimum Value | FLTP | ||
| 370 | Treatment of Missing Values | CHAR | ||
| 371 | Number of Values | NUMC | ||
| 372 | Number of Intervals | NUMC | ||
| 373 | Numeric Model Field | CHAR | ||
| 374 | Outliers | CHAR | ||
| 375 | Parameter: Ranking Upwards or Downwards? | CHAR | ||
| 376 | Ranking of Lowest Score | NUMC | ||
| 377 | Function Type | CHAR | ||
| 378 | Parameter: Replace Value | CHAR | ||
| 379 | Replace Missing Value with | CHAR | ||
| 380 | Parameter: Replace Value with Attribute | CHAR | ||
| 381 | Parameter: Replace Value from Hierarchy | CHAR | ||
| 382 | Parameter: Replace Value from Hierarchy | NUMC | ||
| 383 | Parameter: Value for Missing Data | CHAR | ||
| 384 | Parameter: Highest Value of Area of Definition | DEC | ||
| 385 | Prediction Only in Trained Domain | CHAR | ||
| 386 | Smoothing Factor | INT4 | ||
| 387 | Value processing type- Decision Tree | CHAR | ||
| 388 | create model manually | CHAR | ||
| 389 | Icons in the Data Mining Workbench | CHAR | ||
| 390 | Icons in the Data Mining Workbench | CHAR | ||
| 391 | Model field selection | CHAR | ||
| 392 | Use model as template | CHAR | ||
| 393 | Message Text | CHAR | ||
| 394 | Node name | CHAR | ||
| 395 | Id of the node | NUMC | ||
| 396 | Profile Set | CHAR | ||
| 397 | Screen ID | CHAR | ||
| 398 | Node Type | CHAR | ||
| 399 | Created By | CHAR | ||
| 400 | Created On | CHAR | ||
| 401 | Date for Extractors | DATS | ||
| 402 | Extract Structure of Associated to the Data Source. | CHAR | ||
| 403 | User who last changed | CHAR | ||
| 404 | TimeStamp of Last Modification. | CHAR | ||
| 405 | Table Name Space for extractors | CHAR | ||
| 406 | Sequence ID for Datasource - Key Relation | NUMC | ||
| 407 | Analytical service codes for Extraction | CHAR | ||
| 408 | The Validity tiime Options for Extractors. | CHAR | ||
| 409 | Extraction Date to user defined date | CHAR | ||
| 410 | Analysis Date to user defined date | CHAR | ||
| 411 | Prediction data extraction date to 9999-12-31 | CHAR | ||
| 412 | User defined dates during extraction in infopackage | CHAR | ||
| 413 | Fixed dates | CHAR | ||
| 414 | Other dates - Date of Extraction or Date of Analysis | CHAR | ||
| 415 | Help Information for Analytical Workbench | CHAR | ||
| 416 | Help for Mining Application | CHAR | ||
| 417 | Help Association Discovery | CHAR | ||
| 418 | Help Clustering | CHAR | ||
| 419 | Help Decision Tree Service | CHAR | ||
| 420 | Name of an IM Algorithm | CHAR | ||
| 421 | Confindence of a Classification | FLTP | ||
| 422 | Confidence of a Cluster | FLTP | ||
| 423 | Identification Number of a Cluster | INT4 | ||
| 424 | Score Value of a Cluster | FLTP | ||
| 425 | Column Name | CHAR | ||
| 426 | Database Alias of IM Scoring | CHAR | ||
| 427 | dummy | CHAR | ||
| 428 | Model Field Name | CHAR | ||
| 429 | Data Type of a Model Field | CHAR | ||
| 430 | Function Name | CHAR | ||
| 431 | Key Value of a Model Table | CHAR | ||
| 432 | GUID of the PMML Model | CHAR | ||
| 433 | PMML Data | STRG | ||
| 434 | Predicted Class | CHAR | ||
| 435 | Predicted Value | FLTP | ||
| 436 | Region of an RBF Prediction | INT4 | ||
| 437 | Table Name | CHAR | ||
| 438 | Value Represented as Character String | CHAR | ||
| 439 | Help Regression | CHAR | ||
| 440 | Upper limit for data mart delta request | INT4 | ||
| 441 | BW: Cluster Table Key | CHAR | ||
| 442 | Lower limit for data mart delta request | INT4 | ||
| 443 | Request ID | INT4 | ||
| 444 | Request ID (display format) | NUMC | ||
| 445 | Key for a node (RSDM_RFC) | CHAR | ||
| 446 | Importance of a data mart delta update | CHAR | ||
| 447 | BW: Displaying the external characteristic value | CHAR | ||
| 448 | Variable for Test Mode | CHAR | ||
| 449 | TESTCASE Object Name | CHAR | ||
| 450 | Test Case Object Type | CHAR | ||
| 451 | Parameter Connection | CHAR | ||
| 452 | Parameter Name | CHAR | ||
| 453 | Ref. to Reader | REF | ||
| 454 | Test Case Status | CHAR | ||
| 455 | Return Value when Converting Selection Options | CHAR | ||
| 456 | Test Case Number | NUMC | ||
| 457 | Name of BW Object for Select Options | CHAR | ||
| 458 | Parallel Reading of Provider Not Permitted | CHAR | ||
| 459 | Navigation attribute description | CHAR | ||
| 460 | Navigation attribute short text | CHAR | ||
| 461 | Test data element NUMC | NUMC | ||
| 462 | Testdtel NUMC | NUMC | ||
| 463 | Business Object | CHAR | ||
| 464 | Data Type for DataStore Tables of Active Records | CHAR | ||
| 465 | Size Category for DS Tables of Active Records | CHAR | ||
| 466 | InfoObject is an ODS InfoObject (Flag) | CHAR | ||
| 467 | Data Class for DS Activation Queue | CHAR | ||
| 468 | Size Category for DS Activation Queue | CHAR | ||
| 469 | DataStore Object | CHAR | ||
| 470 | Flag: InfoObject is in Data Store Only | CHAR | ||
| 471 | Type of DataStore Object | CHAR | ||
| 472 | DataStore Object: Activation Process (MPP, Standard) | INT1 | ||
| 473 | DataStore Object: Active Table Database View to be Generated | CHAR | ||
| 474 | DataStore Object: Metadata Data Model | CHAR | ||
| 475 | DataStore Object: Name of Data Type Assignment | CHAR | ||
| 476 | DataStore Object: Type of Data Type Assignment | CHAR | ||
| 477 | DataStore Object: SAP HANA-Optimized | CHAR | ||
| 478 | DataStore Object: Internal Key for IMO Activation | INT4 | ||
| 479 | DataStore Object: InfoObject Binding | CHAR | ||
| 480 | DataStore Object: Key Field Type | CHAR | ||
| 481 | Allow Duplicate Data Records | CHAR | ||
| 482 | DataStore Object: Flag for Massively Parallel Processing | CHAR | ||
| 483 | Flag: Do Not Generate Export DataSource | CHAR | ||
| 484 | DataStore Object: Fields Defined Without InfoObjects | CHAR | ||
| 485 | DataStore Object: Mode for Use as Planning DSO | CHAR | ||
| 486 | DataStore Object: Modification Rule for Field | INT4 | ||
| 487 | DS Table | CHAR | ||
| 488 | Table type of ODS table | NUMC | ||
| 489 | Domain | CHAR | ||
| 490 | Origin of Object | CHAR | ||
| 491 | Reference to Adjoint InfoProvider | REF | ||
| 492 | Reference to InfoCube | REF | ||
| 493 | Reference to dimension class | REF | ||
| 494 | Reference to InfoProvider | REF | ||
| 495 | Reference to General GUI Object | REF | ||
| 496 | Reference to HybridProvider | REF | ||
| 497 | Referenz to interface IF_RSD_DTA | REF | ||
| 498 | Reference to InfoObjectCatalog | REF | ||
| 499 | Reference to InfoObject | REF | ||
| 500 | Reference to InfoObject (str.gen.) | REF |