Cleaning Data
Definition
Cleaning data is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in a dataset. It involves tasks like removing duplicate entries, handling missing values, and standardizing formats to ensure data quality.
Related terms
Data Validation: The process of ensuring that data meets certain criteria or rules defined by the user or system.
Data Preprocessing: A set of techniques used to prepare raw data for analysis by transforming it into a consistent format suitable for further processing.
Outliers: Data points that significantly deviate from the normal pattern or distribution within a dataset. Identifying outliers is an important step in cleaning data as they can affect statistical analyses.
"Cleaning Data" appears in:
Study guides (2)
AP Computer Science Principles - Big Idea 2 Overview: Data
AP Computer Science Principles - 2.3 Extracting Information from Data
Practice Questions (1)
How can cleaning data help in dealing with non-uniformity?
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About Us
About Fiveable
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Privacy Policy
CCPA Privacy Policy
Resources
Cram Mode
AP Score Calculators
Study Guides
Practice Quizzes
Glossary
Cram Events
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Crisis Text Line
Help Center
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.