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2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
Package: forecast-eval
Title: Forecast Evaluation Dashboard
Version: 3
Version: 3.1
Authors@R: person("Kate", "Harwood",
role = c("cre")),
person("Chris", "Scott",
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28 changes: 27 additions & 1 deletion dashboard/about.md
Original file line number Diff line number Diff line change
Expand Up @@ -87,7 +87,9 @@ Though hospitalizations are forecasted on a daily basis, in keeping with the cas
The forecasts and scores are available as RDS files and are uploaded weekly to a publicly accessible AWS bucket.

You can use the url https://forecast-eval.s3.us-east-2.amazonaws.com/ + filename to download
any of the files from the bucket. For instance: https://forecast-eval.s3.us-east-2.amazonaws.com/score_cards_nation_cases.rds to download scores for nation level case predictions.
any of the files from the bucket.

For instance: https://forecast-eval.s3.us-east-2.amazonaws.com/score_cards_nation_cases.rds to download scores for nation level case predictions.

The available files are:
* predictions_cards.rds (forecasts)
Expand All @@ -97,5 +99,29 @@ The available files are:
* score_cards_state_deaths.rds
* score_cards_state_hospitalizations.rds
* score_cards_nation_hospitalizations.rds

You can also connect to AWS and retrieve the data in R. Example of retrieving state cases file:

```
library(aws.s3)
Sys.setenv("AWS_DEFAULT_REGION" = "us-east-2")
s3bucket = tryCatch(
{
get_bucket(bucket = 'forecast-eval')
},
error = function(e) {
e
}
)

stateCases = tryCatch(
{
s3readRDS(object = "score_cards_state_cases.rds", bucket = s3bucket)
},
error = function(e) {
e
}
)
```


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