| Document Type
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BL
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| Record Number
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601534
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| Doc. No
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b430753
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| Main Entry
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McCallum, Q. Ethan
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| Title & Author
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Bad data handbook /\ Q. Ethan McCallum
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| Edition Statement
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First edition
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| Page. NO
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xvi, 245 pages :: illustrations ;; 24 cm
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| ISBN
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9781449321888 (softcover) :
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: 1449321887 (softcover)
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| Notes
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"Mapping the world of data problems"--Cover
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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Setting the pace : what is bad data? -- Is it just me, or does this data smell funny? -- Data intended for human consumption, not machine consumption -- Bad data lurking in plain text -- (Re)organizing the web's data -- Detecting liars and the confused in contradictory online reviews -- Will the bad data please stand up? -- Blood, sweat, and urine -- When data and reality don't match -- Subtle sources of bias and error -- Don't let the perfect be the enemy of the good : is bad data really bad? -- When databases attack : a guide for when to stick to files -- Crouching table, hidden network -- Myths of cloud computing -- The dark side of data science -- How to feed and care for your machine-learning experts -- Data traceability -- Social media : erasable ink? -- Data quality analysis demystified : knowing when your data is good enough
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| Abstract
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This practical handbook takes the reader through several real-world examples to demonstrate the theory and practice behind working with and cleaning up dirty data. As no single tool solves all of the problems well a polyglot approach is taken, with most examples involving R and Python, but sed/awk utilities also appearing
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| Subject
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Database management, Handbooks, manuals, etc
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| Subject
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Electronic data processing, Handbooks, manuals, etc
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| Subject
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Data editing
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| Subject
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Databases-- Quality control
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| Dewey Classification
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005.72
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| LC Classification
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QA76.9.D3M33 2012
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