library(DBI)
library(plutoDbR)
library(plutoR)
library(tidyverse)
options("scipen"=999)
source("../R/config.R")
fred<-Fred()
# get all series with the name 'India ' in it with the first and last dates for which time-series data are available
indianFred <- fred$Meta() %>% inner_join(fred$TimeSeries(), by = 'SERIES_ID') %>%
filter(NAME %like% '%India %') %>%
group_by(SERIES_ID, TICKER, NAME) %>%
summarize(MIN_TS = min(TIME_STAMP), MAX_TS = max(TIME_STAMP)) %>%
select(SERIES_ID, TICKER, NAME, MIN_TS, MAX_TS) %>%
print(n=Inf)
# get a sample of one of the time-series
fred$TimeSeries() %>% filter(SERIES_ID == -2147478748, TIME_STAMP >= as.Date('2019-01-01')) %>%
arrange(desc(TIME_STAMP)) %>%
head(5) %>%
print()
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