Bokus

Jeremy Leipzig – författare

Visar alla böcker från författaren Jeremy Leipzig. Handla med fri frakt och snabb leverans.

4 produkter

  1. Xiao-Yi Li, Jeremy Leipzig - Data Mashups in R, E-bok. Tillgänglighet: Lägg i varukorg

    Data Mashups in R

    Av Xiao-Yi Li, Jeremy Leipzig

    E-bok, 2009

    56 kr

    Lägg i varukorg

    This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R …

  2. Jeremy Leipzig - Data Mashups in R, Häftad. Tillgänglighet: Lägg i varukorg

    Data Mashups in R

    A Case Study in Real-World Data Analysis

    Av Jeremy Leipzig

    Häftad, 2011

    129 kr

    Lägg i varukorg

    Data analysis is more than means and standard deviations. This ebook is a case study of how you can push R into new territory to analyze online real-world data. The authors scrape public foreclosure records for Philadelphia, geocode them, plot them by county, and analyze the results, using R …

  3. Xiao-Yi Li, Jeremy Leipzig - Data Mashups in R, E-bok. Tillgänglighet: Lägg i varukorg

    Data Mashups in R

    A Case Study in Real-World Data Analysis

    Av Xiao-Yi Li, Jeremy Leipzig

    E-bok, 2011

    161 kr

    Lägg i varukorg

    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 …

  4. Xiao-Yi Li, Jeremy Leipzig - Data Mashups in R, E-bok. Tillgänglighet: Lägg i varukorg

    Data Mashups in R

    A Case Study in Real-World Data Analysis

    Av Xiao-Yi Li, Jeremy Leipzig

    E-bok, 2011

    146 kr

    Lägg i varukorg

    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 …