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What is Data Wrangling

Chapter 4
Technological Advancements in Library Service Innovation
It refers to the processes of converting messy data into clean data (also known as data remediation, data cleaning, or data munging). The steps and processes of data wrangling may vary from project to project, but it centres around a set of four basic activities - cleaning, enriching, integration, and transforming of raw data into value-added datasets.
Published in Chapter:
Developing Geodetic Search Interface Through Auto-Generation of Geographic Name Authority Datasets
Parthasarathi Mukhopadhyay (University of Kalyani, India) and Mondrita Mukhopadhyay (University of Kalyani, India)
Copyright: © 2022 |Pages: 23
DOI: 10.4018/978-1-7998-8942-7.ch004
Abstract
This research study is an attempt to develop a MARC-formatted authority dataset for Indian geo-administrative units given the inadequate coverage of Indian place names in global authority datasets. It starts with an authenticated place names file in CSV format and applies data wrangling tools and techniques to fetch geospatial data and other related datasets from open access data sources to develop a geographic name authority file for Indian place names with geocoordinate data values. Later, this research also demonstrates how that authority dataset can be implemented in an open-source ILS and how retrieval features of a library discovery system can be enhanced through a geodetic search interface by utilizing that authority dataset. The entire methodologies are based on open data, open-source software, and open standards.
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Chapter 3
Analyzing Big Data Using Recent Machine Learning Techniques to Assist Consumers in Online Purchase Decision
It is mainly used in data analysis where gathering the data, processing and transforming it from one form to another form takes place. Output of the data wrangling is ready to use meaningful data.
Published in Chapter: Analyzing Big Data Using Recent Machine Learning Techniques to Assist Consumers in Online Purchase Decision; From: Social Media and Online Consumer Decision Making in the Fashion Industry
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Chapter 69
Data Science in the Database: Using SQL for Data Preparation
Another term for Data Cleaning, sometimes it is used in a wider sense to include activities that are not properly Data Cleaning, like getting the data in the format required by some analysis tool or algorithm, changing the structure of the data (by pivoting or getting the data in a certain pre-defined structure, like a graph or a matrix), creating new attributes from existing ones, etc.
Published in Chapter: Data Science in the Database: Using SQL for Data Preparation; From: Encyclopedia of Data Science and Machine Learning
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