| Description |
xviii, 509 pages : illustrations ; 24 cm |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
Provides information on the techniques of data analysis using a variety of open source tools. |
| 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. |
| Subject |
Data mining -- Computer programs.
|
|
Open source software.
|
| ISBN |
9780596802356 paperback |
|
0596802358 paperback |
|
