Setting up AGENT sessions for statistical analysis with pandas.
Statistical Analysis
Overview
This tutorial takes you through the process of conducting statistical analysis using pandas within the AGENT platform. You'll get acquainted with the similarities and differences between running regular Python and AGENT, ensuring you understand how to operate within a privacy-preserving framework.
Starting with configuration and API key authentication, we proceed to demonstrate how to work with datasets—like the Titanic dataset from Seaborn—within AGENT. We address tasks like adding metadata, managing null values, and obtaining descriptive statistics, all while keeping the privacy budget in check.
Included in this video
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Working with datasets in AGENT and adding necessary metadata.
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Managing null values and computing descriptive statistics in a privacy-preserving manner.
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Utilising AGENT's group by functionality for parallel statistics.