Overview

These tutorials walk you through the main features of svy’s API. By the end, you will have a solid understanding of how to use the package to analyze complex survey data. A basic familiarity with Python syntax and survey sampling concepts is assumed.

Note

This tutorial focuses on the practical application of survey sampling, not the underlying statistical theory. For a comprehensive understanding of survey sampling methods, we highly recommend the following resources:

• Sampling: Design and Analysis (3rd ed.). Cengage Learning.
• Applied Survey Data Analysis, Third Edition
• Statistics in Survey Sampling
• UNStats Handbook 2005 - Revision under development
• Designing Household Survey Samples: Practical Guidelines
• All other reference material mentioned throughout this tutorial

The tutorials are organized into the following sections:

• Section 1: Installation
• Section 1: Sample Quick Tour
• Section 1: Wrangling
• Section 2: Survey Planning
• Section 3: Sample Selection
• Section 4: Sample Weighting
• Section 5: Parameters Estimation
• Section 6: Generalized Linear Models