Data frame analytics

Using data frame analytics requires source data to be structured as a two dimensional "tabular" data structure, in other words a data frame. Transforms enable you to create data frames which can be used as the source for data frame analytics.

Data frame analytics enable you to perform different analyses of your data and annotate it with the results. Consult Setup and security to learn more about the license and the security privileges that are required to use data frame analytics.

Overview
Finding outliers
Predicting numerical values with regression
Predicting classes with classification
Language identification
Advanced concepts
API quick reference
Resources

« Appendix P: Time functions Data frame analytics overview »