Cleaning Data for Effective Data Science : Doing the other 80% of the work with Python, R, and command-line tools /: Doing the other 80% of the work with Python, R, and command-line tools. (2021)

Record Type:
Book
Title:
Cleaning Data for Effective Data Science : Doing the other 80% of the work with Python, R, and command-line tools /: Doing the other 80% of the work with Python, R, and command-line tools. (2021)
Main Title:
Cleaning Data for Effective Data Science : Doing the other 80% of the work with Python, R, and command-line tools
Further Information:
Note: David Mertz.
Authors:
Mertz, David
Contents:
Table of ContentsData Ingestion – Tabular FormatsData Ingestion - Hierarchical FormatsData Ingestion - Repurposing Data SourcesThe Vicissitudes of Error - Anomaly DetectionThe Vicissitudes of Error - Data QualityRectification and Creation - Value ImputationRectification and Creation - Feature EngineeringAncillary Matters - Closure/Glossary.
Publisher Details:
Birmingham : Packt Publishing
Publication Date:
2021
Extent:
1 online resource (498 pages)
Subjects:
Computers -- Data Processing
Computers -- Machine Theory
Computers -- Data Modeling & Design
Database design & theory
Data capture & analysis
Mathematical theory of computation
Machine learning
Information architecture
Languages:
English
ISBNs:
9781801074407
1801074402
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library HMNTS - ELD.DS.604499
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