Code
%>%
currency_crosses_EUR left_join(name, by = "name") %>%
group_by(name, Name) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Data - Investing
%>%
currency_crosses_EUR left_join(name, by = "name") %>%
group_by(name, Name) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
currency_crosses_EUR filter(Currency %in% c("USD", "CHF", "GBP")) %>%
left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("USD", "CHF", "GBP"),
>= as.Date("2010-01-01")) %>%
date left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("USD", "CHF", "GBP"),
>= as.Date("2018-01-01")) %>%
date left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %y")) +
scale_y_log10(breaks = seq(0, 3, 0.05),
labels = dollar_format(accuracy = 0.01, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.65, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("AUD", "NZD", "CAD")) %>%
left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("AUD", "NZD", "CAD"),
>= as.Date("2010-01-01")) %>%
date left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_log10(breaks = seq(0, 3, 0.2),
labels = dollar_format(accuracy = 0.1, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.85, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("AUD", "NZD", "CAD"),
>= as.Date("2018-01-01")) %>%
date left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %y")) +
scale_y_log10(breaks = seq(0, 3, 0.05),
labels = dollar_format(accuracy = 0.01, prefix = "")) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.25, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("CAD", "USD", "JPY"),
>= as.Date("2018-03-01")) %>%
date left_join(name, by = "name") %>%
group_by(Currency) %>%
mutate(Close = 100*Close /Close[date == as.Date("2020-03-01")]) %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("100 = January 1, 2020") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %y")) +
scale_y_log10(breaks = seq(80, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.2, 0.2),
legend.title = element_blank()) +
geom_hline(yintercept = 100, linetype = "dashed", color = "black")
%>%
currency_crosses_EUR filter(Currency %in% c("CAD", "USD", "JPY"),
>= as.Date("2020-03-01")) %>%
date left_join(name, by = "name") %>%
group_by(Currency) %>%
mutate(Close = 100*Close /Close[date == as.Date("2020-03-01")]) %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("100 = January 1, 2020") +
scale_x_date(breaks = "1 month",
labels = date_format("%b %y")) +
scale_y_log10(breaks = seq(80, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.8, 0.2),
legend.title = element_blank()) +
geom_hline(yintercept = 100, linetype = "dashed", color = "black")
%>%
currency_crosses_EUR filter(Currency %in% c("CAD", "USD"),
>= as.Date("2018-01-01")) %>%
date left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close, color = Name)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %y")) +
scale_y_log10(breaks = seq(0, 3, 0.05),
labels = dollar_format(accuracy = 0.01, prefix = "")) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.position = c(0.25, 0.9),
legend.title = element_blank())
%>%
currency_crosses_EUR filter(Currency %in% c("JPY"),
>= as.Date("2018-01-01")) %>%
date left_join(name, by = "name") %>%
+ geom_line(aes(x = date, y = Close)) +
ggplot theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "6 months",
labels = date_format("%b %y")) +
scale_y_log10(breaks = seq(0, 300, 5),
labels = dollar_format(accuracy = 1, prefix = "")) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.position = c(0.25, 0.9),
legend.title = element_blank())