Nothing
## ----setup, include = FALSE----------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
warning = FALSE,
comment = "#>"
)
library(mapcan)
library(dplyr)
library(ggplot2)
## ------------------------------------------------------------------------
fed_2015 <- federal_election_results %>%
filter(election_year == 2015) %>%
dplyr::select(riding_code, party)
## ------------------------------------------------------------------------
fed_2015 %>%
sample_n(10)
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
fed_2015_bins <- fed_2015 %>%
riding_binplot(value_col = party,
continuous = FALSE) +
ggtitle("Tile grid map of 2015 federal election results")
fed_2015_bins
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
fed_2015_bins <- fed_2015_bins +
theme_mapcan()
fed_2015_bins
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
fed_2015_bins +
scale_fill_manual(name = "Party",
values = c("mediumturquoise", "blue", "springgreen3", "red", "orange"))
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
fed_2015 %>%
riding_binplot(value = party,
continuous = FALSE,
arrange = TRUE) +
theme_mapcan() +
scale_fill_manual(name = "Party",
values = c("mediumturquoise", "blue", "springgreen3", "red", "orange")) +
ggtitle("Tile grid map of 2015 federal election results")
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
fed_2015_cloropleth <- mapcan(boundaries = ridings, type = standard)
left_join(fed_2015_cloropleth, fed_2015, by = "riding_code") %>%
ggplot(aes(long, lat, group = group, fill = party)) +
geom_polygon() +
coord_fixed() +
scale_fill_manual(name = "Party",
values = c("mediumturquoise", "blue", "springgreen3", "red", "orange")) +
ggtitle("Tile grid map of 2015 federal election results") +
theme_mapcan()
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
federal_election_results %>%
filter(election_year == 2015) %>%
riding_binplot(value = voter_turnout,
continuous = TRUE) +
ggtitle("Tile grid map of 2015 federal election voter turnout")
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
federal_election_results %>%
filter(election_year == 2015) %>%
riding_binplot(value = voter_turnout,
continuous = TRUE) +
theme_mapcan() +
ggtitle("Tile grid map of 2015 federal election voter turnout")
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
federal_election_results %>%
filter(election_year == 2015) %>%
riding_binplot(value = voter_turnout,
continuous = TRUE,
arrange = TRUE) +
theme_mapcan() +
ggtitle("Tile grid map of 2015 federal election voter turnout")
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
federal_election_results %>%
filter(election_year == 2015) %>%
riding_binplot(value = voter_turnout,
continuous = TRUE,
arrange = TRUE,
shape = "hexagon") +
theme_mapcan() +
ggtitle("Hexagon grid map of 2015 federal election voter turnout")
## ----fig.width = 8, fig.height=4, warning = FALSE------------------------
riding_binplot(quebec_provincial_results,
value_col = party,
riding_col = riding_code,
continuous = FALSE,
provincial = TRUE,
province = QC,
shape = "hexagon") +
theme_mapcan() +
scale_fill_manual(name = "Winning party",
values = c("deepskyblue1", "red","royalblue4", "orange")) +
ggtitle("Hexagon grid map of 2018 Quebec provincial election results")
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