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What is Data Manipulation

Applied Guide for Event Study Research in Supply Chain Management
The process of modifying the data structure and data types to make sure we can use it effectively in the event study analysis.
Published in Chapter:
Data and Data Management
Copyright: © 2022 |Pages: 12
DOI: 10.4018/978-1-7998-8969-4.ch008
This chapter introduces some challenges and opportunities of working with data in the event study method. There are some similarities and differences in collecting, managing, and analyzing the data. The author also looks at some of the best practices in some issues that researchers may need to be aware of if they are not used to working with the types of data used in the event study method. First, he briefly looks at issues relating to identifying the company at a point in time as required to access the historical financial data. Next, the management of data from several sources is addressed. Finally, the chapter examines the data management lifecycle issues, focusing on the archiving processes at the end of a study. This chapter is not intended to be a comprehensive examination of data management issues, but to provide researchers with enough insight to understand when to get additional help and what sort of support they may need.
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More Results
Role of Blockchain Technology in Protecting a Cloud Architecture
Data manipulation refers to the process of altering or modifying data to achieve a desired outcome. This can include actions such as sorting, filtering, transforming, or cleaning data to make it more useful or suitable for analysis, reporting, or other purposes.
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Understanding Customer Behavior through Collaboration RFM Analysis and Data Mining Using Health Life Center Data
It is a step in datamining process with the aim of data cleaning, data transformation and finding missing values etc. in database.
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