2 datasets found
  1. f

    This file contains the R code to produce the simulations used in this study....

    • figshare.com
    • plos.figshare.com
    txt
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jacob Anhøj (2023). This file contains the R code to produce the simulations used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0121349.s001
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jacob Anhøj
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The code will run on an installation of R with the add on packages lattice, dplyr, lattice, and latticeExtra. The output is a graph (Fig. 2) and a table showing likelihood ratios of run chart rules for identification of non-random variation in simulated run charts of different length with or without a shift in process mean. (R)

  2. Brisbane Library Checkout Data

    • zenodo.org
    • data.niaid.nih.gov
    application/gzip, bin
    Updated Jan 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nicholas Tierney; Nicholas Tierney (2020). Brisbane Library Checkout Data [Dataset]. http://doi.org/10.5281/zenodo.2437860
    Explore at:
    bin, application/gzipAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nicholas Tierney; Nicholas Tierney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This has been copied from the README.md file

    bris-lib-checkout

    This provides tidied up data from the Brisbane library checkouts

    Retrieving and cleaning the data

    The script for retrieving and cleaning the data is made available in scrape-library.R.

    The data

    • The data/ folder contains the tidy data
    • The data-raw/ folder contains the raw data

    data/

    This contains four tidied up dataframes:

    • tidy-brisbane-library-checkout.csv
    • metadata_branch.csv
    • metadata_heading.csv
    • metadata_item_type.csv

    tidy-brisbane-library-checkout.csv contains the following columns, with the metadata file metadata_heading containing the description of these columns.

    knitr::kable(readr::read_csv("data/metadata_heading.csv"))
    #> Parsed with column specification:
    #> cols(
    #> heading = col_character(),
    #> heading_explanation = col_character()
    #> )

    heading

    heading_explanation

    Title

    Title of Item

    Author

    Author of Item

    Call Number

    Call Number of Item

    Item id

    Unique Item Identifier

    Item Type

    Type of Item (see next column)

    Status

    Current Status of Item

    Language

    Published language of item (if not English)

    Age

    Suggested audience

    Checkout Library

    Checkout branch

    Date

    Checkout date

    We also added year, month, and day columns.

    The remaining data are all metadata files that contain meta information on the columns in the checkout data:

    library(tidyverse)
    #> ── Attaching packages ────────────── tidyverse 1.2.1 ──
    #> ✔ ggplot2 3.1.0 ✔ purrr 0.2.5
    #> ✔ tibble 1.4.99.9006 ✔ dplyr 0.7.8
    #> ✔ tidyr 0.8.2 ✔ stringr 1.3.1
    #> ✔ readr 1.3.0 ✔ forcats 0.3.0
    #> ── Conflicts ───────────────── tidyverse_conflicts() ──
    #> ✖ dplyr::filter() masks stats::filter()
    #> ✖ dplyr::lag() masks stats::lag()
    knitr::kable(readr::read_csv("data/metadata_branch.csv"))
    #> Parsed with column specification:
    #> cols(
    #> branch_code = col_character(),
    #> branch_heading = col_character()
    #> )

    branch_code

    branch_heading

    ANN

    Annerley

    ASH

    Ashgrove

    BNO

    Banyo

    BRR

    BrackenRidge

    BSQ

    Brisbane Square Library

    BUL

    Bulimba

    CDA

    Corinda

    CDE

    Chermside

    CNL

    Carindale

    CPL

    Coopers Plains

    CRA

    Carina

    EPK

    Everton Park

    FAI

    Fairfield

    GCY

    Garden City

    GNG

    Grange

    HAM

    Hamilton

    HPK

    Holland Park

    INA

    Inala

    IPY

    Indooroopilly

    MBG

    Mt. Coot-tha

    MIT

    Mitchelton

    MTG

    Mt. Gravatt

    MTO

    Mt. Ommaney

    NDH

    Nundah

    NFM

    New Farm

    SBK

    Sunnybank Hills

    SCR

    Stones Corner

    SGT

    Sandgate

    VAN

    Mobile Library

    TWG

    Toowong

    WND

    West End

    WYN

    Wynnum

    ZIL

    Zillmere

    knitr::kable(readr::read_csv("data/metadata_item_type.csv"))
    #> Parsed with column specification:
    #> cols(
    #> item_type_code = col_character(),
    #> item_type_explanation = col_character()
    #> )

    item_type_code

    item_type_explanation

    AD-FICTION

    Adult Fiction

    AD-MAGS

    Adult Magazines

    AD-PBK

    Adult Paperback

    BIOGRAPHY

    Biography

    BSQCDMUSIC

    Brisbane Square CD Music

    BSQCD-ROM

    Brisbane Square CD Rom

    BSQ-DVD

    Brisbane Square DVD

    CD-BOOK

    Compact Disc Book

    CD-MUSIC

    Compact Disc Music

    CD-ROM

    CD Rom

    DVD

    DVD

    DVD_R18+

    DVD Restricted - 18+

    FASTBACK

    Fastback

    GAYLESBIAN

    Gay and Lesbian Collection

    GRAPHICNOV

    Graphic Novel

    ILL

    InterLibrary Loan

    JU-FICTION

    Junior Fiction

    JU-MAGS

    Junior Magazines

    JU-PBK

    Junior Paperback

    KITS

    Kits

    LARGEPRINT

    Large Print

    LGPRINTMAG

    Large Print Magazine

    LITERACY

    Literacy

    LITERACYAV

    Literacy Audio Visual

    LOCSTUDIES

    Local Studies

    LOTE-BIO

    Languages Other than English Biography

    LOTE-BOOK

    Languages Other than English Book

    LOTE-CDMUS

    Languages Other than English CD Music

    LOTE-DVD

    Languages Other than English DVD

    LOTE-MAG

    Languages Other than English Magazine

    LOTE-TB

    Languages Other than English Taped Book

    MBG-DVD

    Mt Coot-tha Botanical Gardens DVD

    MBG-MAG

    Mt Coot-tha Botanical Gardens Magazine

    MBG-NF

    Mt Coot-tha Botanical Gardens Non Fiction

    MP3-BOOK

    MP3 Audio Book

    NONFIC-SET

    Non Fiction Set

    NONFICTION

    Non Fiction

    PICTURE-BK

    Picture Book

    PICTURE-NF

    Picture Book Non Fiction

    PLD-BOOK

    Public Libraries Division Book

    YA-FICTION

    Young Adult Fiction

    YA-MAGS

    Young Adult Magazine

    YA-PBK

    Young Adult Paperback

    Example usage

    Let’s explore the data

    bris_libs <- readr::read_csv("data/bris-lib-checkout.csv")
    #> Parsed with column specification:
    #> cols(
    #> title = col_character(),
    #> author = col_character(),
    #> call_number = col_character(),
    #> item_id = col_double(),
    #> item_type = col_character(),
    #> status = col_character(),
    #> language = col_character(),
    #> age = col_character(),
    #> library = col_character(),
    #> date = col_double(),
    #> datetime = col_datetime(format = ""),
    #> year = col_double(),
    #> month = col_double(),
    #> day = col_character()
    #> )
    #> Warning: 20 parsing failures.
    #> row col expected actual file
    #> 587795 item_id a double REFRESH 'data/bris-lib-checkout.csv'
    #> 590579 item_id a double REFRESH 'data/bris-lib-checkout.csv'
    #> 590597 item_id a double REFRESH 'data/bris-lib-checkout.csv'
    #> 595774 item_id a double REFRESH 'data/bris-lib-checkout.csv'
    #> 597567 item_id a double REFRESH 'data/bris-lib-checkout.csv'
    #> ...... ....... ........ ....... ............................
    #> See problems(...) for more details.

    We can count the number of titles, item types, suggested age, and the library given:

    library(dplyr)
    count(bris_libs, title, sort = TRUE)
    #> # A tibble: 121,046 x 2
    #> title n
    #>

    License

    This data is provided under a CC BY 4.0 license

    It has been downloaded from Brisbane library checkouts, and tidied up using the code in data-raw.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Jacob Anhøj (2023). This file contains the R code to produce the simulations used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0121349.s001

This file contains the R code to produce the simulations used in this study.

Related Article
Explore at:
txtAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
PLOS ONE
Authors
Jacob Anhøj
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The code will run on an installation of R with the add on packages lattice, dplyr, lattice, and latticeExtra. The output is a graph (Fig. 2) and a table showing likelihood ratios of run chart rules for identification of non-random variation in simulated run charts of different length with or without a shift in process mean. (R)

Search
Clear search
Close search
Google apps
Main menu