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|a 1800564597
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|a 9781800564596
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4 |
|a QA279
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1 |
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|a Walker, Michael
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| 245 |
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|a Python Data Cleaning Cookbook
|h [electronic resource]
|b Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights
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| 260 |
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|a Birmingham
|b Packt Publishing, Limited
|c 2020
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| 300 |
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|a 437 p.
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| 653 |
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|a Data mining / fast
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| 653 |
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|a Data Mining
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| 653 |
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|a Python (Computer program language) / fast
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| 653 |
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|a Bases de données / Gestion
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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| 653 |
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|a Analysis of variance / fast
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| 653 |
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|a Database management / http://id.loc.gov/authorities/subjects/sh85035848
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| 653 |
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|a Analysis of variance / http://id.loc.gov/authorities/subjects/sh85004782
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| 653 |
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|a Analyse de variance
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| 653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Python (Langage de programmation)
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| 653 |
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|a Exploration de données (Informatique)
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| 653 |
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|a Database management / fast
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| 653 |
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|a Analysis of Variance
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Description based upon print version of record
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| 015 |
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|a GBC0K3187
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| 776 |
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|z 9781800564596
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| 776 |
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|z 9781800565661
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781800565661/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 658
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| 082 |
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|a 005.7565
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| 520 |
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|a The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be useful for making the right decisions
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