How can you integrate data across different formats for Statistics?
Data integration is the process of combining data from different sources and formats into a unified view that can be used for statistical analysis. Data integration can help you gain insights from diverse and complex data sets, improve data quality and consistency, and reduce data redundancy and complexity. However, data integration also poses some challenges, such as data heterogeneity, data inconsistency, data security, and data scalability. In this article, you will learn how to integrate data across different formats for statistics using some common methods and tools.