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005 20141212053210.0;

006 m o d ;

007 cr cnu---unuuu;

008 120118s2011 caua ob 001 0 eng d;

020 a| 9781449396657 (electronic bk.);

020 a| 1449396658 (electronic bk.);

020 a| 9781449301859 (electronic bk.);

020 a| 1449301851 (electronic bk.);

020 z| 9780596802356;

020 z| 0596802358;

035 a| (Sirsi) o773211340;

035 a| (OCoLC)773211340;

049 a| EREE;

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072 7 a| COMx| 0210302| bisacsh;

082 04 a| 006.3122| 22;

100 1 a| Janert, Philipp K.=| ^A1143566;

245 10 a| Data analysis with open source tools /c| Philipp K. Janert.;

300 a| 1 online resource (xviii, 509 pages) :b| illustrations;

336 a| text2| rdacontent;

337 a| computer2| rdamedia;

338 a| online resource2| rdacarrier;

500 a| "A hands-on guide for programmers and data scientists"--Cover.;

504 a| Includes bibliographical references and index.;

520 a| Provides information on the techniques of data analysis using a variety of open source tools.;

505 0 a| Pt. 1. Graphics: looking at data. A single variable: shape and distribution -- Two variables: establishing relationships -- Time as a variable: time-series analysis -- More than two variables: graphical multivariate analysis -- Intermezzo: a data analysis session -- Analytics: modeling data. Guesstimation and the back of the envelope -- Models from scaling arguments -- Arguments from probability models -- What you really need to know about classical statistics -- Intermezzo: mythbusting - bigfoot, least squares, and all that -- Computation: mining data. Simulations -- Finding clusters -- Seeing the forest fro the trees: finding important attributes -- Intermezzo: when more is different -- Applications: using data. Reporting, business intelligence, and dashboards -- Financial calculations and modeling -- Predictive analytics -- Epilogue: facts are not reality.;

588 a| Description based on print version record.;

650 0 a| Data miningx| Computer programs.=| ^A408868;

650 0 a| Open source software.=| ^A519523;

650 7 a| Databases.2| sears;

650 7 a| Open source software.2| sears;

650 7 a| COMPUTERS / Database Management / Data Mining.2| bisacsh;

655 7 a| Electronic books.2| local;

655 4 a| Electronic books.;

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Data analysis with open source tools / Philipp K. Janert.

Author/creator	Janert, Philipp K.
Format	Electronic
Publication Info	Sebastopol, CA : O'Reilly, ©2011.
Description	1 online resource (xviii, 509 pages) : illustrations
Supplemental Content	EBSCOhost
Subjects	Data mining--Computer programs. Open source software.

Contents	Pt. 1. Graphics: looking at data. A single variable: shape and distribution -- Two variables: establishing relationships -- Time as a variable: time-series analysis -- More than two variables: graphical multivariate analysis -- Intermezzo: a data analysis session -- Analytics: modeling data. Guesstimation and the back of the envelope -- Models from scaling arguments -- Arguments from probability models -- What you really need to know about classical statistics -- Intermezzo: mythbusting - bigfoot, least squares, and all that -- Computation: mining data. Simulations -- Finding clusters -- Seeing the forest fro the trees: finding important attributes -- Intermezzo: when more is different -- Applications: using data. Reporting, business intelligence, and dashboards -- Financial calculations and modeling -- Predictive analytics -- Epilogue: facts are not reality.
Abstract	Provides information on the techniques of data analysis using a variety of open source tools.
General note	"A hands-on guide for programmers and data scientists"--Cover.
Bibliography note	Includes bibliographical references and index.
Source of description	Description based on print version record.
Issued in other form	Print version: Janert, Philipp K. Data analysis with open source tools. Sebastopol, CA : O'Reilly, c2011 9780596802356
Genre/form	Electronic books.
Genre/form	Electronic books.
ISBN	9781449396657 (electronic bk.)
ISBN	1449396658 (electronic bk.)
ISBN	9781449301859 (electronic bk.)
ISBN	1449301851 (electronic bk.)

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Data analysis with open source tools / Philipp K. Janert.

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