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| 001 | 1227387302 | ||
| 003 | JO-AjAnu | ||
| 005 | 20241022093400.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 201219s2020 xx o ||| 0 eng d | ||
| 015 |
_aGBC0K3187 _2bnb |
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| 020 | _a1800564597 | ||
| 020 |
_a9781800564596 _q(electronic bk.) |
||
| 020 | _z9781800565661 (pbk.) | ||
| 035 | _a(OCoLC)1227387302 | ||
| 037 |
_a9781800564596 _bPackt Publishing |
||
| 037 |
_aAFF1226E-BF19-48BB-A80A-76B3F8B38CCC _bOverDrive, Inc. _nhttp://www.overdrive.com |
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| 050 | 4 |
_aQA279 _b2020 |
|
| 082 | 0 | 4 |
_a005.7565 _223 |
| 100 | 1 | _aWalker, Michael | |
| 245 | 1 | 0 |
_aPython Data Cleaning Cookbook _h[electronic resource] : _b Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights / _cMichael Walker |
| 260 |
_aBirmingham : _bPackt Publishing, Limited, _c2020 |
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| 300 | _a415 pag | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 500 | _aDescription based upon print version of record | ||
| 506 | _aAvailable to OhioLINK libraries | ||
| 520 | _aThe 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 | ||
| 650 | 0 | _aAnalysis of variance | |
| 650 | 0 | _aDatabase management | |
| 650 | 0 | _aData mining | |
| 650 | 0 | _aPython (Computer program language) | |
| 655 | 4 | _aElectronic books | |
| 710 | 2 | _aOhio Library and Information Network | |
| 776 | 0 | 8 |
_iPrint version: _aWalker, Michael _tPython Data Cleaning Cookbook : Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights _dBirmingham : Packt Publishing, Limited,c2020 _z9781800565661 |
| 856 | 4 | 0 |
_3O'Reilly _zConnect to resource _uhttps://learning.oreilly.com/library/view/~/9781800565661/?ar |
| 942 |
_2lcc _cBK _n0 |
||
| 999 |
_c33809 _d33809 |
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