View Source PlausibleWeb.Api.StatsController (Plausible v0.0.1)

Summary

Functions

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all_custom_prop_values(conn, params)

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all_props_breakdown(conn, params)

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browser_versions(conn, params)

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conversions(conn, params)

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current_visitors(conn, _)

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custom_prop_values(conn, params)

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entry_pages(conn, params)

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exit_pages(conn, params)

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filter_suggestions(conn, params)

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main_graph(conn, params)

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Returns a time-series based on given parameters.

Parameters

This API accepts the following parameters:

  • period - x-axis of the graph, e.g. 12mo, day, custom.

  • metric - y-axis of the graph, e.g. visits, visitors, pageviews. See the Stats API "Metrics" section for more details. Defaults to visitors.

  • interval - granularity of the time-series data. You can think of it as a GROUP BY clause. Possible values are minute, hour, date, week, and month. The default depends on the period parameter. Check Plausible.Query.from/2 for each default.

  • filters - optional filters to drill down data. See the Stats API "Filtering" section for more details.

  • with_imported - boolean indicating whether to include Google Analytics imported data or not. Defaults to false.

Full example:

%{
  "from" => "2021-09-06",
  "interval" => "month",
  "metric" => "visitors",
  "period" => "custom",
  "to" => "2021-12-13"
}

Response

Returns a map with the following keys:

  • plot - list of values for the requested metric representing the y-axis of the graph.

  • labels - list of date times representing the x-axis of the graph.

  • present_index - index of the element representing the current date in labels and plot lists.

  • interval - the interval used for querying.

  • with_imported - boolean indicating whether the Google Analytics data was queried or not.

  • imported_source - the source of the imported data, when applicable. Currently only Google Analytics is supported.

  • full_intervals - map of dates indicating whether the interval has been cut off by the requested date range or not. For example, if looking at a month week-by-week, some weeks may be cut off by the month boundaries. It's useful to adjust the graph display slightly in case the interval is not 'full' so that the user understands why the numbers might be lower for those partial periods.

Full example:

%{
  "full_intervals" => %{
    "2021-09-01" => false,
    "2021-10-01" => true,
    "2021-11-01" => true,
    "2021-12-01" => false
  },
  "imported_source" => nil,
  "interval" => "month",
  "labels" => ["2021-09-01", "2021-10-01", "2021-11-01", "2021-12-01"],
  "plot" => [0, 0, 0, 0],
  "present_index" => nil,
  "with_imported" => false
}
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operating_system_versions(conn, params)

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operating_systems(conn, params)

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prop_breakdown(conn, params)

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referrer_drilldown(conn, params)

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screen_sizes(conn, params)

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utm_campaigns(conn, params)

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utm_contents(conn, params)

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utm_mediums(conn, params)

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utm_sources(conn, params)

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