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Read Data from Statistical Software Files

Explore how to read data from statistical software files using pandas. Learn to import .sas7bdat, .xpt, .sav, and .dta files efficiently and use parameters like chunk size and column selection to handle large or specific datasets.

Introduction

Before the proliferation of open-source software for data science and analytics, most data practitioners relied on commercial software for statistical analysis. These software systems offer proprietary computational methods for different use cases. Furthermore, these systems come with professional customer support and are backed by extensive documentation and literature validated by experts.

However, the issues of expensive commercial licenses, subpar interfaces, and relatively complicated scripting languages have led to a drop in their usage. Nonetheless, ...