Data mashups in R
How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use ca...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Beijing ; Sebastopol, California :
O'Reilly Media
2011.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628322506719 |
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
