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Data mashups in R /
"This book is a case study of how you can push R into new territory to analyze online real-world data."
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, Calif. :
O'Reilly Media,
©2011.
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| Edición: | 1st ed. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Table of Contents; Introduction; Chapter 1. Mapping Foreclosures; Messy Address Parsing; Exploring "streets"; Obtaining Latitude and Longitude Using Yahoo; Shaking the XML Tree; The Many Ways to Philly (Latitude); Using Data Structures; Using Helper Methods; Using Internal Class Methods; Exceptional Circumstances; The Unmappable Fake Street; No Connection; Taking Shape; Finding a Usable Map; PBSmapping; Developing the Plot; Preparing to Add Points to Our Map; Exploring R Data Structures: geoTable; Making Events of Our Foreclosures; Turning Up the Heat; Factors When You Need Them.
- Filling with Color GradientsChapter 2. Statistics of Foreclosure; Importing Census Data; Descriptive Statistics; Descriptive Plots; Correlation; Final Thoughts; Appendix. Getting Started; Obtaining R; Quick and Dirty Essentials of R; O'Reilly Resources.