In kvasilopoulos/econdata: Curated List of Economic Datasets

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width = 12
)

library(econdata)
library(ggplot2)
library(dplyr)
library(tidyr)

bbe2005 %>%
  select(Date, 2:22) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Real output and income") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 24:49) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Employment and hours") +
  theme_bw() +
    theme(
      axis.title = element_blank()
    )

bbe2005 %>%
  select(Date, 50:54) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Consumption") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 55:61) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Housing starts ") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 62:66) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Real inventories, orders, and unfilled orders") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 67:73) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Stock prices") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 74:77) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Exchange rates") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 78:92) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Interest rates") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 93:102) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Money and credit quantity aggregates") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 103:118) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Price indexes") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 119:120) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Average hourly earnings ") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )

bbe2005 %>%
  select(Date, 121) %>% 
  gather(type, value, -Date) %>% 
  ggplot(aes(Date, value)) +
  geom_line() +
  facet_wrap(~type, ncol = 3, scales = "free_y") + 
  ggtitle("Miscellaneous ") +
  theme_bw() +
  theme(
    axis.title = element_blank()
  )