| Document Type
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BL
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| Record Number
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598172
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| Doc. No
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b427391
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| Main Entry
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Janert, Philipp K
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| Title & Author
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Data analysis with open source tools /\ Philipp K. Janert
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| Page. NO
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xviii, 509 pages :: illustrations ;; 24 cm
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| ISBN
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9780596802356 (pbk.)
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: 0596802358 (pbk.)
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| Bibliographies/Indexes
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Includes bibliographical references and index
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| Contents
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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
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| Abstract
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Provides information on the techniques of data analysis using a variety of open source tools
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| Subject
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Data mining-- Computer programs
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| Subject
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Open source software
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| Dewey Classification
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006.312
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| LC Classification
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HF5548.38.O64J354 2011
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