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It's accurate to say this. Practices related to data wrangling include data extraction and data munging.
What is included in data wrangling?
To make complicated data sets more accessible and understandable, data wrangling is the act of cleaning up errors and merging different complex data sets. Large amounts of data need to be stored and organized for analysis because the amount of data and data sources available today are expanding quickly.
What in data science is meant by data munging?
Data munging is the broad process for converting data from inaccurate or useless forms into ones that are appropriate for a given use case. Data cannot be prepared for any type of downstream consumption without some degree of munging, whether carried out by automated systems or specialist users.
Data extraction: What is it?
The act or process of extracting data from data sources for additional data processing or data storage is known as data extraction. Data transformation and perhaps metadata addition occur after the import into the intermediate extracting system in order to prepare the data for export to the next stage of the data workflow.
Learn more about data processing: https://brainly.com/question/28275651
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