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What is Data Transformation

Advancing Educational Research With Emerging Technology
The process of transforming the qualitative data into quantitative data.
Published in Chapter:
Social Media-Based Data Collection and Analysis in Educational Research
Liuli Huang (Louisiana State University, USA)
Copyright: © 2020 |Pages: 24
DOI: 10.4018/978-1-7998-1173-2.ch004
Abstract
The past decades have brought many changes to education, including the role of social media in education. Social media data offer educational researchers first-hand insights into educational processes. This is different from most traditional and often obtrusive data collection methods (e.g., interviews and surveys). Many researchers have explored the role of social media in education, such as the value of social media in the classroom, the relationship between academic achievement and social media. However, the role of social media in educational research, including data collection and analysis from social media, has been examined to a far lesser degree. This study seeks to discuss the potential of social media for educational research. The purpose of this chapter is to illustrate the process of collecting and analyzing social media data through a pilot study of current math educational conditions.
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More Results
Business Case Evaluation and Data Identification
A series of actions on data is what is referred to as a data transformation , which includes the discovery and removal of abnormalities.
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Big Data Preprocessing, Techniques, Integration, Transformation, Normalisation, Cleaning, Discretization, and Binning
Data Transformation includes applying techniques to convert data into a suitable format for analysis, such as scaling numerical data, normalizing values, encoding categorical variables, or deriving new features through mathematical or statistical operations. This standardization simplifies subsequent analysis tasks.
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