1: Using functions to cleanse and enrich data
- Use date functions
- Use conversion functions
- Use string functions
- Use statistical functions
- Use missing value functions
2: Using additional field transformations
- Replace values with the Filler node
- Recode continuous fields with the Binning node
- Change a fields distribution with the Transform node
3: Working with sequence data
- Use sequence functions
- Count an event across records
- Expand a continuous field into a series of continuous fields with the Restructure node
- Use geospatial and time data with the Space-Time-Boxes node
4: Sampling, partitioning and balancing data
- Draw simple and complex samples with the Sample node
- Create a training set and testing set with the Partition node
- Reduce or boost the number of records with the Balance node
5: Improving efficiency
- Use database scalability by SQL pushback
- Process outliers and missing values with the Data Audit node
- Use the Set Globals node
- Use parameters
- Use looping and conditional execution