Handbook of Data Visualization

Handbook of Data Visualization
Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics. Specialists from all over the world have contributed papers on their areas of expertise.

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C++Builder 2009 Enterprise 5 Pack – Upgrade

C++Builder 2009 Enterprise 5 Pack - Upgrade

5 User Licenses – Upgrade LicenseC++Builder 2009 Enterprise gives software developers the best of both worlds – the power of the C and C++ languages and libraries with the productivity of visual rapid application development. C++Builder Enterprise includes an advanced IDE, powerful compiler, visual designer and components for creating user interfaces, and high-performance heterogeneous server database connectivity.Enterprise Edition includes Professional Edition plus:Database server connectivity to InterBase,Blackfish SQL, MySQL, Microsoft SQL Server,Oracle, DB2, Informix, and SybaseDataSnap multi-tier database applicationdevelopmentBlackfish SQL deployment on systems withfive users, 2GB database sizeVCL for the Web with no connection limitAdditional UML modeling capabilitiesWhat’s New in C++ Builder 2009 Give your user interfaces a fresh, updated look with new and enhanced VCL controls Build applications that handle global data with ease using new Unicode support throughout the IDE and VCL Move your code into the future with early support for upcoming C++0x language standards Build powerful, efficient and secure database applications by separating data and business logic with new DataSnap Get new insight into your database structures with data modeling and visualization in the all new C++Builder Architect edition

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Advances in Social Science Research Using R

Advances in Social Science Research Using R

This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues–all providing practical tools using the free R software. McCullough: R can be used for reliable statistical computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime. Koenker: Additive models provide a clever compromise between parametric and non-parametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections. Vinod: New solutions to the old problem of efficient estimation despite autocorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and unemployment. Markus and Gu: New R tools for exploratory data analysis including bubble plots. Vinod, Hsu and Tian: New R tools for portfolio selection borrowed from computer scientists and data-mining experts; relevant to anyone with an investment portfolio. Foster and Kecojevic: Extends the usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the age-old scientific problem of assessing the direction and strength of causation. Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the choice of functional form for an unknown, potentially nonlinear relationship, explaining a set of new R tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance (ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools for Bayesian posterior distributions to study increased disease risk in proximity to a hazardous waste site. Numatsi and Rengifo: Explain

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Diferentiate btw d flwn:Database and Data Warehouse, Data Mining and OLAP,Multidimensional data model and OLAP

1)Compare and contrast OLTP and OLAP
2)What are the differences between the following main types of data warehouse usage
(i) Information processing
(ii) Analytical processing
(iii) Data Mining
B)What is the role of information visualization in data mining?
C)Describe two challenges to data mining regarding performance issues.
D)Present an example where data mining is crucial to the success of a business.
E)Discuss the current trends in data mining
3)Design a data warehouse for a regional weather bureau.The weather bureau has about 1000 probes, which are scattered throughout various land and ocean locations in the region to collect basic weather data including air pressure, temperature and precipitation at each hour. AlI data are sent to the central station, which has collected such data for over
10 years. Your design should facilitate querying and online analytical processing.

huh

C++Builder 2009 Enterprise 10 Pack

C++Builder 2009 Enterprise 10 Pack

10 User LicensesC++Builder 2009 Enterprise gives software developers the best of both worlds – the power of the C and C++ languages and libraries with the productivity of visual rapid application development. C++Builder Enterprise includes an advanced IDE, powerful compiler, visual designer and components for creating user interfaces, and high-performance heterogeneous server database connectivity.Enterprise Edition includes Professional Edition plus:Database server connectivity to InterBase,Blackfish SQL, MySQL, Microsoft SQL Server,Oracle, DB2, Informix, and SybaseDataSnap multi-tier database applicationdevelopmentBlackfish SQL deployment on systems withfive users, 2GB database sizeVCL for the Web with no connection limitAdditional UML modeling capabilitiesWhat’s New in C++ Builder 2009 Give your user interfaces a fresh, updated look with new and enhanced VCL controls Build applications that handle global data with ease using new Unicode support throughout the IDE and VCL Move your code into the future with early support for upcoming C++0x language standards Build powerful, efficient and secure database applications by separating data and business logic with new DataSnap Get new insight into your database structures with data modeling and visualization in the all new C++Builder Architect edition

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