#Bibliotecas necesarias
library(tidytuesdayR)
library(tidyverse)
library(ggsci)
library(gganimate)
# selecting random week
set.seed(31)
sample(1:45,1)
#> [1] 45
# Data week 45
commute_mode <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-11-05/commute.csv")
save(commute_mode,file='commute_mode.Rdata')
load('commute_mode.Rdata')
g1 <- commute_mode %>%
filter(!is.na(state_region)) %>%
filter(mode == "Bike") %>%
mutate(frac= n*percent/100) %>%
group_by(state_region,city_size) %>%
summarise(n=sum(n),frac =sum(frac)) %>%
mutate(p = frac/n, moe=1.645*(p*(1-p) %>%
'/'(n) %>%
sqrt())) %>%
mutate(percent=p*100, moe=moe*100) %>%
ggplot(., aes(x=reorder(state_region,-percent),
y= percent,xend=state_region,
ymin=0, ymax=percent,
group= reorder(city_size, -percent),
color=city_size)) +
geom_linerange(position = position_dodge(.5),
linetype='twodash',
size=1) +
geom_point(position = position_dodge(.5),
size=5) +
geom_linerange(position = position_dodge(.5),
linetype='twodash',
size=1) +
geom_errorbar(aes(ymin= percent-moe,
ymax=percent+moe),
position = position_dodge(.5),
width=.3,
alpha=.5) +
geom_linerange(position = position_dodge(.5),
linetype='twodash',
size=1) +
scale_y_continuous(breaks = seq(.1,5,.2))+
scale_color_locuszoom()+
labs(title = "Bicycling to Work by Region USA: 2008:2012",
x= "Region",
y= "Percent",
color="City Size:",
caption = "Vizualization by @DuvanNievesRui1 | Data: 'Bike & Walk Commutes' • ACS")+
theme(panel.grid = element_line(color="grey40"),
legend.position = "top",
legend.background = element_rect(fill = "grey10"),
legend.key.size = unit(.5,"cm"),
panel.background = element_rect(fill="grey10",color = "grey10"),
plot.background = element_rect(fill="grey10"),
plot.title = element_text(size=28, color="grey76",hjust = .5),
plot.subtitle = element_text(size=20, color="grey76",hjust = .5),
plot.caption = element_text(size = 11,color = "grey76", hjust = .99),
axis.text = element_text(family = "Roboto Mono",
size = 10,
colour = "grey76"),
axis.title = element_text(family = "Roboto Mono",
size = 20,
colour = "white"),
legend.text = element_text(family = "Roboto Mono",
size = 10,
colour = "grey76"),
legend.title = element_text(family = "Roboto Mono",
size = 14,
colour = "grey76"),
line = element_line(linetype = "dotted")) +
transition_layers()+
shadow_mark()+
enter_fade() + enter_grow() +
exit_fade() + exit_shrink()
animate(g1, renderer = gifski_renderer(),height = 500, width =1000,fps = 10)

g2 <- commute_mode %>%
filter(!is.na(state_region)) %>%
filter(mode == "Walk") %>%
mutate(frac= n*percent/100) %>%
group_by(state_region,city_size) %>%
summarise(n=sum(n),frac =sum(frac)) %>%
mutate(p = frac/n, moe=1.645*(p*(1-p) %>%
'/'(n) %>%
sqrt())) %>%
mutate(percent=p*100, moe=moe*100) %>%
ggplot(., aes(x=reorder(state_region,-percent),
y= percent,xend=state_region,
ymin=0, ymax=percent,
group= reorder(city_size, -percent),
color=city_size)) +
geom_linerange(position = position_dodge(.5),
linetype='twodash',
size=1) +
geom_point(position = position_dodge(.5),
size=5) +
geom_linerange(position = position_dodge(.5),
linetype='twodash',
size=1) +
geom_errorbar(aes(ymin= percent-moe,
ymax=percent+moe),
position = position_dodge(.5),
width=.3,
alpha=.5) +
geom_linerange(position = position_dodge(.5),
linetype='twodash',
size=1) +
scale_y_continuous(breaks = seq(.1,13,.3))+
scale_color_locuszoom()+
labs(title = "Walking to Work by Region USA: 2008-2012",
x= "Region",
y= "Percent",
color="City Size:",
caption = "Vizualization by @DuvanNievesRui1 | Data: 'Bike & Walk Commutes' • ACS")+
theme(panel.grid = element_line(color="grey40"),
legend.position = "top",
legend.background = element_rect(fill = "grey10"),
legend.key.size = unit(.5,"cm"),
panel.background = element_rect(fill="grey10",color = "grey10"),
plot.background = element_rect(fill="grey10"),
plot.title = element_text(size=28, color="grey76",hjust = .5),
plot.subtitle = element_text(size=20, color="grey76",hjust = .5),
plot.caption = element_text(size = 11,color = "grey76", hjust = .99),
axis.text = element_text(family = "Roboto Mono",
size = 10,
colour = "grey76"),
axis.title = element_text(family = "Roboto Mono",
size = 20,
colour = "white"),
legend.text = element_text(family = "Roboto Mono",
size = 10,
colour = "grey76"),
legend.title = element_text(family = "Roboto Mono",
size = 14,
colour = "grey76"),
line = element_line(linetype = "dotted")) +
transition_layers()+
shadow_mark()+
enter_fade() + enter_grow() +
exit_fade() + exit_shrink()
animate(g2, renderer = gifski_renderer(),height = 500, width =1000,fps = 10)
