ggplot2可视化经典案例系列(二)之柱状图
2021-01-27 本文已影响0人
R语言数据分析指南
一个简简单单的柱状图也可以如此优雅，还在使用各种在线工具嘛，还在羡慕别人的图表吗，科研人赶紧动起来吧。跟着我关注个人公众号R语言数据分析指南持续分享国际一流数据分析师的经典项目案例，带你站在潮头之上
library(tidytuesdayR)
library(tidyverse)
library(hablar)
TidyTuesday是R4DS在线学习社区的一个项目，在该项目中，他们将每周数据集发布到公共数据存储库tidytuesday中，供人们分析和可视化
tidytuesdayR包可以轻松的访问每周的TidyTuesday项目数据集;
安装tidytuesdayR
install.packages("tidytuesdayR")
remotes::install_github("thebioengineer/tidytuesdayR")
数据加载
rm(list=ls())
tuesdata <- tidytuesdayR::tt_load('2021-01-26')
plastics <- tuesdata$plastics
head(plastics)
数据清理
plastics_tidy <- plastics %>%
pivot_longer(names(plastics)[4:11],
names_to = "type",
values_to = "count")
head(plastics_tidy)
usa <- plastics_tidy %>%
filter(country == "United States of America") %>%
filter(year == "2020") %>%
filter(parent_company != "null") %>%
filter(parent_company != "Unbranded") %>%
filter(grand_total > 100) %>%
convert(fct(parent_company,type))
unique(usa$parent_company)
ggplot2数据可视化
ggplot(usa,aes(x = reorder(parent_company,-count),
y = count,group = parent_company,fill = type)) +
geom_bar(stat = "identity",
position = "stack") +
labs(title = "Which companies are the largest sources of branded plastic pollution in the USA?",
fill = "Type of Plastic",
caption = "TidyTuesday Week 5") +
ylab("Count of plastic") +xlab(NULL) +
scale_fill_brewer(palette = "Spectral") +
theme(plot.background = element_rect(fill = "grey10"),
panel.background = element_rect(fill = "grey10"),
panel.grid = element_blank(),
axis.ticks = element_blank(),
plot.title = element_text(size = 17.5,
colour = "grey90",face = "bold"),
title = element_text(colour = "grey50"),
axis.title.y = element_text(size = 10,
hjust = 0.52,colour = "grey90"),
axis.text.y = element_text(colour = "grey90"),
axis.text.x = element_blank(),
legend.title = element_text(size = 10, colour = "white"),
legend.text = element_text(colour = "grey90"),
legend.background = element_rect(fill = "grey10"),
legend.position = c(0.8, 0.9),
legend.direction = "horizontal") +
guides(fill = guide_legend(reverse = T)) +
annotate("text", x = 1, y = -20, label = "The Kroger
Company",colour = "#084999",size = 4) +
annotate("text", x = 2, y = -15, label = "Pepsico",
colour = "#28458E",size = 4) +
annotate("text", x = 3, y = -15, label = "CocaCola",
colour = "#F40009",size = 4) +
annotate("text", x = 4, y = -15,label = "Nestle",
colour = "#ddc694",size = 4) +
annotate("text", x = 5, y = -15, label = "STARBUCKS",
colour = "#00704A",size = 4) +
annotate("text", x = 6, y = -15, label = "FAGE",
colour = "#0053A0",size = 4) +
annotate("text", x = 7, y = -14,
label = "phillip morris",colour = "#4ea2da",
size = 4) +
annotate("text", x = 8, y = -14,label = "SUNTORY",
colour = "#5bc2dc",size = 4) +
annotate("text",x = 3.6, y = 340,
label = "PET plastic is a polyester
and is commonly used to
make plastic drinks bottles
and food containers",size = 4,
colour = "#c3d674") +
annotate("curve",xend = 2.3, yend = 280,
x = 2.9, y = 315,curvature = -.2,
arrow = arrow(type = "closed",
length = unit(0.40, "lines")),
colour = "#7b8749") +
annotate("curve",xend = 3.1, yend = 200,
x = 3.3, y = 290,curvature = -.2,
arrow = arrow(type = "closed",
length = unit(0.40, "lines")),
colour = "#7b8749") +
annotate("curve",xend = 4, yend = 180,
x = 4.2, y = 290,curvature = -.2,
arrow = arrow(type = "closed",
length = unit(0.40, "lines")),
colour = "#7b8749") +
annotate("text",x = 5.6, y = 240,
label = "PP Plastic is a
polypropeylene and is used
to make products such as
yoghurt containers and
carry out beverage cups",
size = 4, colour = "#9DDF9E") +
annotate("curve",
xend = 6.1, yend = 100,x = 6.1, y = 180,
curvature = -.2,
arrow = arrow(type = "closed",
length = unit(0.40, "lines")),
colour = "#74a375") +
annotate("curve",xend = 4.8, yend = 100,
x = 4.8, y = 210,curvature = .2,
arrow = arrow(type = "closed",
length = unit(0.40, "lines")),
colour = "#74a375") +
annotate("curve",xend = 1.5, yend = 470,
x = 5.1, y = 300,curvature = .3,
arrow = arrow(length = unit(0.40, "lines")),
colour = "#74a375")
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