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: Pro data visualization using R and JavaScript
    sub title: analyze and visualize key data on the web
  name:
    name part: Barker, Tom
    name part: 1977-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Westfall, Jon
    role:
      role term: author.
  type of resource: text
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: cau
    date issued: 2022
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces. You will: Carry out data visualization using R and JavaScript Use RStudio for data visualization Harness Tidyverse data pipelines Apply D3 and R Notebooks towards your data Work with the R Plumber API generator, Shiny, and more.
  table of contents: 1. Background -- 2. R Language Primer -- 3. A Deeper Dive into R -- 4. Data Visualization with D3 -- 5. Visualizing Spatial Data from Access Logs -- 6. Visualizing Data Over Time -- 7. Bar Charts -- 8. Correlation Analysis with Scatter Plots -- 9. Visualizing the Balance of Delivery and Quality with Parallel Coordinates.
  note: Tom Barker, Jon Westfall.
  note: Includes index.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  subject:
    topic: Information visualization
  subject:
    topic: R (Computer program language)
  subject:
    topic: JavaScript (Computer program language)
  related item:
    title info:
      title: Pro data visualization using R and JavaScript
    name:
      name part: Barker, Tom, 1977-
    origin info:
      publisher: [Berkeley] : Apress, [2022]
      edition: Second edition.
    identifier: (OCoLC)1255463209
  identifier: 9781484272022
  identifier: 1484272021
  identifier: 9781484272015
  identifier: 1484272013
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: YDX
    record creation date: 211010
    record change date: 20240717213016.0
    record identifier: kn-on1274058959
    language of cataloging:
      language term: eng