file.apiKey.enc <- system.file("apiKey.R.gpg", package = "nsoApi")
nsoApi::nsoApiGPG(file = file.apiKey.enc,
                  gpg = NULL,
                  passphrase = Sys.getenv("NSOAPIGPG"),
                  keep = FALSE
                  )

## [1] TRUE

BEA Bureau of Economic Analysis

api.param <- list(
  DATASETNAME = "NIPA",
  FREQUENCY = "A",
  METHOD = "GETDATA",
  RESULTFORMAT = "JSON",
  USERID = apiKey$BEA$userid,
  TABLEID = "272",                  # Table 7.2.5B. Motor Vehicle Output (A) (Q)
  YEAR = "X"                        # restrict time period to 1970 onwards
)
datalist <- beaAPI(api.param = api.param, curl = curl)
## knitr::kable(datalist$BEAAPI$Results$Data)
df <- datalist$BEAAPI$Results$Data
## head(df)

## unique(df$LineDescription)

library(ggplot2)
library(hrbrthemes)

p <-
  df %>%
  filter(LineDescription %in% c("Domestic output of new autos",
                                "Sales of imported new autos") &
         TimePeriod %in% seq(1970, 2015, 1)) %>%
  mutate(DataValue = as.numeric(DataValue),
         TimePeriod = as.Date(paste0(TimePeriod, "-01-01"))) %>%
  ggplot(aes(x = TimePeriod, y = DataValue, fill = LineDescription)) +
  geom_bar(stat = "identity", position = "dodge"
         ## , alpha = 0.8
           ) +
  scale_x_date(expand=c(0,0)) +
  scale_y_comma(name = "Nominal USD",
                     expand=c(0,0)) +
  ## theme_bw() +
  theme_ipsum_rc(grid="XY") +
  ## rgb(249, 38, 114, maxColorValue = 255)
  scale_fill_manual(values = c("black", "#F92672")) +
  guides(fill = guide_legend(title = NULL)) +
  theme(legend.position=c(0.25, 0.95),
        legend.direction = "horizontal") # +
  ## theme(legend.position = "top")
p

## bea_xts <- beaDFtoXTS(df)
## head(bea_xts)