User Guide
This User Guide consists of three distinct sections.
In Data Manipulation and Aggregation you can find the basics of crandas DataFrame, 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.
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Learn how to interact with tables and perform operations like joins and group-by.
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Discover what you can do with strings, integers and even missing values.
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Run regressions and other machine learning algorithms.
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Protect your data by ensuring only the correct computations can be executed.