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This chapter introduces the concept of data frames in R and demonstrates their practical application through the exploration of the Museum of Modern Art (MoMA) dataset. Readers will learn how to import CSV files, analyze datasets using R functions, and handle missing values effectively. Additionally, this chapter covers basic data manipulation techniques, including sorting, filtering, and summarizing data, as well as visualizing distributions using histograms. These foundational skills equip readers with the tools to work with real-world datasets and perform data-driven analyses in R.

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  • 发表日期：

    2025年

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  • Harald Klinke

摘要

This chapter introduces the concept of data frames in R and demonstrates their practical application through the exploration of the Museum of Modern Art (MoMA) dataset. Readers will learn how to import CSV files, analyze datasets using R functions, and handle missing values effectively. Additionally, this chapter covers basic data manipulation techniques, including sorting, filtering, and summarizing data, as well as visualizing distributions using histograms. These foundational skills equip readers with the tools to work with real-world datasets and perform data-driven analyses in R.