Data-science

The article delves into the world of two-sample proportion tests, offering insights into comparing proportions between distinct populations. It explores both manual calculation and a more streamlined approach using Python's statsmodels library. From understanding the theoretical foundation of two-sample proportion tests to implementing them practically, readers gain a comprehensive understanding of how to assess significant differences in proportions within categorical data.

Data engineering is a crucial field that enables organizations to derive value from their data. It involves the design, construction, and maintenance of systems for collecting, storing, and processing data, with the aim of making it available for use in business intelligence, analytics, and machine learning.