A Practical Guide to Characterising Data and Investigating Data Quality

This guide is designed for data scientists to use in their day-to-day work, and describes a comprehensive list of tasks to perform when investigating data quality and profiling data, and a six-step recommended workflow. Each of the 62 tasks is articulated as a question (and sometimes several questio...

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Hauptverfasser:	Ruddle, Roy, Cheshire, James, Johansson Fernstad, Sara
Format:	Dataset
Sprache:	eng
Schlagworte:	FOS: Computer and information sciences
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creator	Ruddle, Roy Cheshire, James Johansson Fernstad, Sara
description	This guide is designed for data scientists to use in their day-to-day work, and describes a comprehensive list of tasks to perform when investigating data quality and profiling data, and a six-step recommended workflow. Each of the 62 tasks is articulated as a question (and sometimes several questions) to answer about your data. The guide also provides pointers to a Python package (vizdataquality) that implements the workflow, a film about visualizing data quality and other useful resources.
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title	A Practical Guide to Characterising Data and Investigating Data Quality
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