Papers
Topics
Authors
Recent
2000 character limit reached

RWebData: A High-Level Interface to the Programmable Web

Published 1 Mar 2016 in stat.CO, cs.MS, and cs.SE | (1603.00293v2)

Abstract: The rise of the programmable web offers new opportunities for the empirically driven social sciences. The access, compilation and preparation of data from the programmable web for statistical analysis can, however, involve substantial up-front costs for the practical researcher. The R-package RWebData provides a high-level framework that allows data to be easily collected from the programmable web in a format that can directly be used for statistical analysis in R (R Core Team 2013) without bothering about the data's initial format and nesting structure. It was developed specifically for users who have no experience with web technologies and merely use R as a statistical software. The core idea and methodological contribution of the package are the disentangling of parsing web data and mapping them with a generic algorithm (independent of the initial data structure) to a flat table-like representation. This paper provides an overview of the high-level functions for R-users, explains the basic architecture of the package, and illustrates the implemented data mapping algorithm.

Citations (3)

Summary

Paper to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

Collections

Sign up for free to add this paper to one or more collections.