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This chapter focuses on the practical aspects of working with data, including data quality, common problems encountered when working with data, and data pre-processing techniques. It provides an example in R using principal components analysis (PCA) on firm performance data. The chapter emphasizes the importance of data cleaning and preparation in the data science workflow.

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Working with Data

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  • 发表日期：

    2025年

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  • Alex Coad

摘要

This chapter focuses on the practical aspects of working with data, including data quality, common problems encountered when working with data, and data pre-processing techniques. It provides an example in R using principal components analysis (PCA) on firm performance data. The chapter emphasizes the importance of data cleaning and preparation in the data science workflow.