Wikipedia webpage counts by article

This endpoint was previously deprecated and remains available for historical reference. The underlying data source is no longer updated and no new data is being ingested. For more details, refer to the "Endpoints kept for historical reference" section of vignette("migration-guide"), and visit the V5 signals documentation.

API docs: https://cmu-delphi.github.io/delphi-epidata/api/wiki.html Number of page visits for selected English, Influenza-related wikipedia articles.

Source: Wikimedia
Temporal Resolution: Hourly, daily, and weekly from 2007-12-09 (2007w50)
Spatial Resolution: N/A
Other resolution: By article (54)
Open access

Usage

pub_wiki(
  articles,
  ...,
  time_type = c("day", "week"),
  time_values = "*",
  hours = NULL,
  language = "en",
  fetch_args = fetch_args_list()
)

Arguments

articles: character. Articles to fetch. See available articles for details.
...: not used for values, forces later arguments to bind by name
time_type: string. The temporal resolution of the data (either "day" or "week", depending on signal).
time_values: timeset. Dates or epiweeks to fetch. Supports epirange() and defaults to all ("*") dates.
hours: integer. Optionally, the hours to fetch.
language: string. Language to fetch.
fetch_args: fetch_args_list(). Additional arguments to pass to fetch(). See fetch_args_list() for details.

Value

tibble::tibble

Examples


pub_wiki(
  articles = "avian_influenza",
  time_type = "week",
  time_values = epirange(201501, 201601)
)
#> `pub_wiki()` covers a data source that is no longer updated.
#> ℹ Historical data remains available, but no new data is being ingested.
#> ℹ See the "Endpoints kept for historical reference" section of
#>   `vignette("migration-guide")` (or
#>   <https://cmu-delphi.github.io/epidatr/articles/migration-guide.html#endpoints-kept-for-historical-reference>)
#>   for details.
#> This message is displayed once per session.
#> # A tibble: 53 × 6
#>    article         count      total  hour epiweek    value
#>    <chr>           <dbl>      <dbl> <dbl> <date>     <dbl>
#>  1 avian_influenza  4687 1422164068    -1 2015-01-04  3.30
#>  2 avian_influenza  5467 1348289071    -1 2015-01-11  4.05
#>  3 avian_influenza  7090 1402471472    -1 2015-01-18  5.06
#>  4 avian_influenza  6088 1401781736    -1 2015-01-25  4.34
#>  5 avian_influenza  5325 1390433062    -1 2015-02-01  3.83
#>  6 avian_influenza  4501 1396774810    -1 2015-02-08  3.22
#>  7 avian_influenza  4671 1373094504    -1 2015-02-15  3.40
#>  8 avian_influenza  5108 1443965380    -1 2015-02-22  3.54
#>  9 avian_influenza  4298 1466819824    -1 2015-03-01  2.93
#> 10 avian_influenza  4889 1424146607    -1 2015-03-08  3.43
#> # ℹ 43 more rows

Usage

Arguments

Value

See also

Examples