Data Manipulation

Kurt Y. Liu

doi:10.1007/978-3-030-92224-5_3

Data Manipulation

Kurt Y. Liu

Engineering Systems & Supply Chain Management

Research output: Chapter in Book/Published conference output › Chapter

Abstract

In this chapter, we introduce data manipulation, its procedures and methods in Python. In particular, we explore several methods for data loading and writing, data indexing and selection, data merging and combination, data cleaning and preparation, and data computation and aggregation. In the final section of this chapter, we introduce some basic ways of working with text and datetime data.

Original language	English
Title of host publication	Supply Chain Analytics Concepts, Techniques and Applications
Publisher	Palgrave Macmillan
Chapter	3
Pages	45-81
Edition	1st
ISBN (Electronic)	9783030922245
ISBN (Print)	9783030922238
DOIs	https://doi.org/10.1007/978-3-030-92224-5_3
Publication status	Published - 8 Apr 2022

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10.1007/978-3-030-92224-5_3

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title = "Data Manipulation",

abstract = "In this chapter, we introduce data manipulation, its procedures and methods in Python. In particular, we explore several methods for data loading and writing, data indexing and selection, data merging and combination, data cleaning and preparation, and data computation and aggregation. In the final section of this chapter, we introduce some basic ways of working with text and datetime data.",

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AB - In this chapter, we introduce data manipulation, its procedures and methods in Python. In particular, we explore several methods for data loading and writing, data indexing and selection, data merging and combination, data cleaning and preparation, and data computation and aggregation. In the final section of this chapter, we introduce some basic ways of working with text and datetime data.

UR - https://link.springer.com/chapter/10.1007/978-3-030-92224-5_3

U2 - 10.1007/978-3-030-92224-5_3

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M3 - Chapter

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SP - 45

EP - 81

BT - Supply Chain Analytics Concepts, Techniques and Applications

PB - Palgrave Macmillan

ER -

Data Manipulation

Abstract

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Supply Chain Analytics: Concepts, Techniques and Applications

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