Get policy actions and stringency data from JSON
Arguments
- json
A JSON string, URL or file created using
get_json_time()
orget_json_actions()
.
Value
A tibble of time series stringency index data if json
is a time
series endpoint or a named list of two tibbles (the first tibble is
named policyActions
and the second tibble is named stringencyData
) if
json
is a policy actions endpoint.
Examples
## Get time series JSON endpoint
x <- get_json_time(from = "2020-10-29", to = "2020-10-31")
## Get time series stringency index data
get_data(x)
#> # A tibble: 552 × 8
#> date_value country_code confirmed deaths stringency_actual stringency
#> <date> <chr> <int> <int> <dbl> <dbl>
#> 1 2020-10-29 ABW 4472 37 47.2 47.2
#> 2 2020-10-29 AFG 41145 1529 9.26 9.26
#> 3 2020-10-29 AGO 10269 275 65.7 65.7
#> 4 2020-10-29 ALB 20315 499 54.6 54.6
#> 5 2020-10-29 AND 4567 73 55.6 55.6
#> 6 2020-10-29 ARE 130336 488 54.6 54.6
#> 7 2020-10-29 ARG 1143800 30442 81.9 81.9
#> 8 2020-10-29 AUS 27579 907 60.6 60.6
#> 9 2020-10-29 AUT 91951 1353 64.8 64.8
#> 10 2020-10-29 AZE 53152 708 64.4 64.4
#> # ℹ 542 more rows
#> # ℹ 2 more variables: stringency_legacy <dbl>, stringency_legacy_disp <dbl>
## Get policy actions JSON endpoint
x <- get_json_actions(ccode = "AFG", from = NULL, to = "2020-07-16")
## Get data on policy actions and stringency index
get_data(x)
#> $policyActions
#> # A tibble: 23 × 9
#> policy_type_code policy_type_display policyvalue policyvalue_actual flagged
#> <chr> <chr> <int> <int> <lgl>
#> 1 C1 School closing 3 3 TRUE
#> 2 C2 Workplace closing 3 3 FALSE
#> 3 C3 Cancel public events 2 2 TRUE
#> 4 C4 Restrictions on gath… 4 4 TRUE
#> 5 C5 Close public transpo… 2 2 FALSE
#> 6 C6 Stay at home require… 2 2 FALSE
#> 7 C7 Restrictions on inte… 2 2 FALSE
#> 8 C8 International travel… 1 1 NA
#> 9 E1 Income support 0 0 NA
#> 10 E2 Debt/contract relief 0 0 NA
#> # ℹ 13 more rows
#> # ℹ 4 more variables: is_general <lgl>, notes <chr>,
#> # flag_value_display_field <chr>, policy_value_display_field <chr>
#>
#> $stringencyData
#> # A tibble: 1 × 6
#> date_value country_code confirmed deaths stringency_actual stringency
#> <chr> <chr> <int> <int> <dbl> <dbl>
#> 1 2020-07-16 AFG 35156 1117 78.7 78.7
#>