Utilize over 60 commands and functions to transform, manipulate, normalize, correlate, and filter data.
Filter data using time modifiers and time commands and use formatting functions to accommodate various time formats.
Calculate statistics using transforming commands and mathematical and statistical eval functions.
Compare, manipulate, and normalize data using several commands including the all-powerful eval command and an array of statistical, comparison, conditional, and formatting functions.
Calculate co-occurrence between fields and analyze data from multiple datasets.
Create, curate, manage and share knowledge objects.