rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Using R to analyze Yelp data
  name:
    name part: Shah, Chirag
    role:
      role term: speaker.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:32:12)) : sound, colour.
  abstract: With social media data from Yelp, Dr. Chirag Shah, PhD, explains how to use R to visualize and review data, establish correlations, analyze data using linear regression, and determine the organization of data using the unsupervised learning k-means algorithm for cluster detection.
  target audience: specialized
  note: Academic, Chirag Shah PhD.
  note: Closed-captions in English.
  subject:
    topic: R (Computer program language)
  subject:
    topic: Online social networks
  subject:
    topic: Social media
    topic: Economic aspects
  subject:
    topic: Location-based services
  subject:
    topic: R (Langage de programmation)
  subject:
    topic: Réseaux sociaux (Internet)
  subject:
    topic: Médias sociaux
    topic: Aspect économique
  subject:
    topic: Services basés sur la localisation
  subject:
    topic: Location-based services
  subject:
    topic: Online social networks
  subject:
    topic: R (Computer program language)
  subject:
    topic: Social media
    topic: Economic aspects
  classification: QA276.45.R3 U85 2018
  classification: 519.502855133
  related item:
    title info:
      title: Intermediate Data Problems and Techniques ; 1
  identifier: 9781526468970
  identifier: 1526468972
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190122
    record change date: 20241105203108.2
    record identifier: in00005514737
    language of cataloging:
      language term: eng