Workflow
- Creating new custom variables in a Workflow
- Workflow: Importing data from Microsoft Excel
- Workflow: Importing data from a text file
- Workflow: Importing data from a permanent dataset
- Workflow: Creating dataset statistics using the Aggregate block
- Workflow: Grouping observations using the Binning block
- Workflow: Reducing the size of a dataset using the Filter block
- Workflow: Replacing missing values with the Impute block
- Workflow: Creating a single dataset from multiple datasets with the Join block
- Workflow: Combining multiple datasets together with the Merge block
- Workflow: Creating new variables in a dataset with the Mutate block
- Workflow: Dividing a dataset using the Partition block
- Workflow: Selecting rows in a dataset using the Query block
- Workflow: Ranking values in a variable with the Rank block
- Workflow: Taking a subset of a dataset using the Sampling block
- Workflow: Restricting columns with the Select block
- Workflow: Ordering data with the Sort block
- Workflow: Picking predictive variables with the Top Select block
- Workflow: Swapping rows and columns with the Transpose block
- Workflow: Sorting a dataset using the Python block
- Workflow: Selecting dataset variables using the R block
- Workflow: Extending Workflow functionality using the SAS Language block
- Workflow: Selecting observations from a dataset using the SQL block
- Workflow: Predicting a binary variable with the Decision Forest block
- Workflow: Predicting a binary variable with the Decision Tree block
- Workflow: Clustering data with the Hierarchical Clustering block
- Workflow: Clustering data with the K-Means Clustering block
- Workflow: Predicting a numeric variable with the Linear Regression block
- Workflow: Predicting a binary variable with the Logistic Regression block
- Workflow: Predicting a binary variable with the MLP block