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Copy file name to clipboardExpand all lines: docs/api/covidcast.md
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| --- | --- | --- |
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|`data_source`| name of upstream data source (e.g., `doctor-visits` or `fb-survey`; [see full list](covidcast_signals.md)) | string |
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|`signal`| name of signal derived from upstream data (see notes below) | string |
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|`time_type`| temporal resolution of the signal (e.g., `day`, `week`) | string |
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|`time_type`| temporal resolution of the signal (e.g., `day`, `week`; see [date coding details](covidcast_times.md)) | string |
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|`geo_type`| spatial resolution of the signal (e.g., `county`, `hrr`, `msa`, `dma`, `state`) | string |
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|`time_values`| time unit (e.g., date) over which underlying events happened |`list` of time values (e.g., 20200401) |
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|`geo_value`| unique code for each location, depending on `geo_type` (see [geographic coding details](covidcast_geography.md)), or `*` for all | string |
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|`result`| result code: 1 = success, 2 = too many results, -2 = no results | integer |
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|`epidata`| list of results, 1 per geo/time pair | array of objects |
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|`epidata[].geo_value`| location code, depending on `geo_type`| string |
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|`epidata[].time_value`| time unit (e.g. date) over which underlying events happened | integer |
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|`epidata[].time_value`| time unit (e.g. date) over which underlying events happened (see [date coding details](covidcast_times.md)) | integer |
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|`epidata[].direction`| trend classifier (+1 -> increasing, 0 -> steady or not determined, -1 -> decreasing) | integer |
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|`epidata[].value`| value (statistic) derived from the underlying data source | float |
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|`epidata[].stderr`| approximate standard error of the statistic with respect to its sampling distribution, `null` when not applicable | float |
Copy file name to clipboardExpand all lines: docs/api/covidcast_geography.md
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available
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[here](https://hub.arcgis.com/datasets/fedmaps::hospital-referral-regions). We
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report HRRs by their number (non-consecutive, between 1 and 457).
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*`hhs`: values that are accepted are the numbers 1-10, corresponding to the US [Department of Health & Human Services Regional Offices](https://www.hhs.gov/about/agencies/iea/regional-offices/index.html)
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*`msa`: Metropolitan Statistical Area, as defined by the Office of Management
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and Budget. The Census Bureau provides [detailed definitions of these
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regions](https://www.census.gov/programs-surveys/metro-micro/about.html). We
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*`state`: The 50 states, identified by their two-digit postal abbreviation (in
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lower case). Estimates for Puerto Rico are available as state `pr`;
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Washington, D.C. is available as state `dc`.
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*`nation`: accepted values are the ISO 3166-1 alpha-2 [country codes](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2). Currently the only nation we have data on is `us`.
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Some signals are not available for all `geo_type`s, since they may be reported
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by their original sources with different levels of aggregation.
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