knitr::opts_chunk$set(echo = FALSE, warning = FALSE,message = FALSE)
library(tidyverse) library(lubridate) library(xts)
theme_set(theme_bw())
df = read_csv(paste0(file.path(Sys.getenv("USERPROFILE"), fsep = "\\"), "\\OneDrive - Bank Of Israel\\Data\\BIS\\", "WEBSTATS_CBPOL_D_DATAFLOW_csv_row.csv"),skip = 1) df = df %>% rename_all(.funs = ~str_remove(.,"^[A-Z]{2}:")) %>% rename_all(.funs = ~str_replace_all(.,"\\s","_")) %>% rename_all(tolower) %>% rename(date = reference_area) df = df %>% slice(-1) %>% pivot_longer(-date, names_to = "country",values_to = "rate") %>% filter(complete.cases(.)) %>% mutate(rate = as.numeric(rate)) avg_df = df %>% group_by(date = as.yearmon(date), country) %>% summarise(avg_rate = mean(rate, na.rm = TRUE),.groups = "drop")
avg_df %>% filter(country == "israel") %>% ggplot(aes(x = date, y = avg_rate)) + geom_line() + scale_y_continuous(labels = scales::percent_format(scale = 1, accuracy = 1)) + labs(x = "", y = "", title = "Israel average policy rate") + theme(plot.title = element_text(hjust = 0.5))
avg_df %>% filter(country %in% c("israel","united_states")) %>% ggplot(aes(x = date, y = avg_rate, color = country)) + geom_line() + scale_color_manual(values = c("israel" = "black", "united_states" = "lightblue")) + labs(x = "", y = "", title = "Israel vs USA average policy rate") + theme(plot.title = element_text(hjust = 0.5), legend.position = "bottom", legend.title = element_blank())
avg_df %>% filter(date >= as.yearmon("Jan 2000")) %>% filter(country %in% c("israel","united_states", "united_kingdom","canada", "japan","switzerland")) %>% ggplot(aes(x = date, y = avg_rate, color = country)) + geom_line() + labs(x = "", y = "", title = "Average policy rates") + theme(plot.title = element_text(hjust = 0.5), legend.position = "bottom", legend.title = element_blank())
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