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vignettes/epidatr.Rmd

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---
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title: "Delphi Epidata R API Client"
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title: "Get started with `epidatr`"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Delphi Epidata R API Client}
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%\VignetteIndexEntry{Get started with `epidatr`}
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%\VignetteEngine{knitr::rmarkdown}
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%\VignetteDepends{ggplot2}
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\usepackage[utf8]{inputenc}
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## Finding data sources and signals of interest
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Above we used data from [Delphi’s symptom surveys](https://delphi.cmu.edu/covid19/ctis/), but the Epidata API includes numerous data streams: medical claims data, cases and deaths, mobility, and many others. This can make it a challenge to find the data stream that you are most interested in.
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Above we used data from [Delphi’s symptom surveys](https://delphi.cmu.edu/covid19/ctis/),
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but the Epidata API includes numerous data streams: medical claims data, cases
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and deaths, mobility, and many others. This can make it a challenge to find
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the data stream that you are most interested in.
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The Epidata documentation lists all the data sources and signals available through the API for [COVID-19](https://cmu-delphi.github.io/delphi-epidata/api/covidcast_signals.html) and for [other diseases](https://cmu-delphi.github.io/delphi-epidata/api/README.html#source-specific-parameters).
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The Epidata documentation lists all the data sources and signals available
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through the API for [COVID-19](https://cmu-delphi.github.io/delphi-epidata/api/covidcast_signals.html)
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and for [other diseases](https://cmu-delphi.github.io/delphi-epidata/api/README.html#source-specific-parameters).
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You can also use the `avail_endpoints()` function to get a table of endpoint functions:
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