User Guide

This User Guide consists of three distinct sections. In Data Manipulation and Aggregation you can find the basics of crandas DataFrames, the main units of crandas. In this section you can find everything from the basics of uploading and manipulating a DataFrame, the different types of encoding data as well as more complex operations like table joins and group-by. In Machine Learning and Statistics we present our ever growing suite of machine learning algorithms. This section will show you how to perform a logistic regression on encrypted data as well as the statistical tools that help you understand the data. Finally, in Authorization we present the process that prevents unauthorized computations from being executed over sensitive data.