Before we start

My chinese skills are poor and biased. I did learn during my internship and I continue to study while I can translate "last year our exports were 19,000 USD million" but I don't know all the colors.

I will use this dataset and for the example and you can use any chinese font you want. In this example I'm using Adobe Heiti.

Initial setup

These are the necessary libraries and I did read directly from the xlsx file before defining levels, labels and colors.

library(XLConnect)

library(ggplot2)

library(RColorBrewer)

library(scales)

library(plyr)

library(forcats)

file <- paste0(getwd(),"/ggplot2_chinese/trade_data_chile_china.xlsx")

data <- readWorksheetFromFile(file, sheet = "Sheet1", region = "A3:K13", header = TRUE)

data2 <- readWorksheetFromFile(file, sheet = "Sheet1", region = "A17:F27", header = TRUE)

data3 <- readWorksheetFromFile(file, sheet = "Sheet1", region = "A30:C35", header = TRUE)

data4 <- readWorksheetFromFile(file, sheet = "Sheet1", region = "A39:E59", header = TRUE)

data5 <- readWorksheetFromFile(file, sheet = "Sheet1", region = "A62:G72", header = TRUE)

data6 <- readWorksheetFromFile(file, sheet = "Sheet1", region = "A75:C125", header = TRUE)

data <- as.data.frame(data)

data2 <- as.data.frame(data2)

data3 <- as.data.frame(data3)

data3$country <- factor(data3$country, levels = c("china","usa","eu","japan","korea"), labels = c("中国","美国","欧盟","日本","朝鲜"))

data4 <- as.data.frame(data4)

data4$product <- factor(data4$product, levels = c("copper","others"), labels = c("铜","木浆, 水果, 鱒屬和等产品"))

data4 <- ddply(data4, .(year), transform, pos = cumsum(percentage) - (0.5 * percentage))

data4 <- ddply(data4, .(year), transform, pos2 = cumsum(exports) - (0.5 * exports))

data5 <- as.data.frame(data5)

data6 <- as.data.frame(data6)

data6$product <- factor(data6$product, levels=c("fruits",   "processedfoods",   "bottledwine",  "salmon",   "forestryandfurniture"), labels=c("水果", "再制",   "瓶装酒",  "鱒屬",   "林业和木家具"))

brewer.pal(8, "Paired")

[1] "#A6CEE3" "#1F78B4" "#B2DF8A" "#33A02C" "#FB9A99" "#E31A1C" "#FDBF6F"

[8] "#FF7F00"

cbPalette <- c("#1F78B4", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#556b2f", "#D55E00", "#CC79A7")

cbPalette2 <- c("#4169e1", "#d68a59","#556b2f", "#FB9A99", "#33A02C")

cbPalette3 <- c("#F0E442", "#56B4E9")

The charts

Here are different charts that I did create during my internship. These charts are actually "updated" as we still don't have 2016 official trade reports.

I will show how to use the new subtitles functionality in ggplot2 v2.2.0.

g1 <- ggplot() +

  geom_bar(aes(y = percentage, x = country, fill = country), data = data3, stat="identity") +

  scale_fill_manual(values=cbPalette2) +

  geom_text(data=data3, aes(x = country, y = (percentage + 2), label = paste0(percentage,"%")), colour="black", family="AdobeHeitiStd-Regular", size = 5) +

  scale_y_continuous(breaks=seq(0,40,5), labels = dollar_format(suffix = "%", prefix = "")) + expand_limits(y=c(0,25)) +

  labs(x="",y="百分数") +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  theme(legend.position="none", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("2015年领先的出口市场",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"),

        text=element_text(size=18, family="AdobeHeitiStd-Regular"),

        axis.text.x=element_text(colour="black"))

g1

g2 <- ggplot() +

  geom_bar(aes(y = pcentexports, x = year, fill = "pcentexports"), data = data5, stat="identity") +

  scale_fill_manual(values="#4169e1") +

  geom_text(data=data5, aes(x = year, y = pcentexports +2, label = paste0(pcentexports,"%")), colour="black", family="AdobeHeitiStd-Regular", size = 5) +

  scale_x_continuous(breaks=seq(2006,2015,1)) + scale_y_continuous(breaks=seq(0,25,5), labels = dollar_format(suffix = "%", prefix = "")) +

  expand_limits(y=c(0,25)) + labs(x="年",y="百分数")  +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  theme(legend.position="none", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("出口中国的产品的结构",

           subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular"))

g2

g3 <- ggplot() +

  geom_bar(aes(y = pcentimports, x = year, fill = "pcentimports"), data = data5, stat="identity") +

  scale_fill_manual(values="#000080") +

  geom_text(data=data5, aes(x = year, y = pcentimports +2, label = paste0(pcentimports,"%")), colour="black", family="AdobeHeitiStd-Regular", size = 5) +

  scale_x_continuous(breaks=seq(2006,2015,1)) +

  scale_y_continuous(breaks=seq(0,25,5), labels = dollar_format(suffix = "%", prefix = "")) +

  expand_limits(y=c(0,25)) + labs(x="年",y="百分数") +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  theme(legend.position="none", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("进口中国的产品的结构",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular"))

g3

g4 <- ggplot() +

  geom_bar(aes(y = percentage, x = year, fill = fct_rev(product)), data = data4, stat="identity") +

  scale_fill_manual(values=cbPalette3) + geom_text(data=data4, aes(x = year, y = pos, label = paste0(percentage,"%")), colour="black", family="AdobeHeitiStd-Regular", size = 4) +

  scale_x_continuous(breaks=seq(2006,2015,1)) +

  scale_y_continuous(labels = dollar_format(suffix = "%", prefix = "")) +

  labs(x="年", y="百分数")  + theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("出口中国结构 (%)",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular"))

g4

g5 <- ggplot() +

  geom_bar(aes(y = exports, x = year, fill = fct_rev(product)), data = data4, stat="identity") +

  scale_fill_manual(values=cbPalette3) + geom_text(data=data4, aes(x = year, y = pos2, label = exports), colour="black", family="AdobeHeitiStd-Regular", size = 4) +

  scale_x_continuous(breaks=seq(2006,2015,1)) +

  labs(x="年", y="百万美元") +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("出口中国结构 ($)",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular"))

g5

g6 <- ggplot() +

  geom_area(aes(y = exports, x = year, fill = fct_rev(product)), data = data6, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  scale_y_continuous(breaks=seq(0,1600,400)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_fill_brewer(palette="Paired") +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("无铜矿或造纸木材出口中国",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular"))

g6

g7 <- ggplot() +

  geom_line(aes(y = exportscc, x = year, colour = "exportscc"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = importscc, x = year, colour = "importscc"), size=1.5, data = data, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  scale_y_continuous(breaks=seq(0,20000,5000)) +

  expand_limits(y=c(5000,20000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("出口的产品", "进口产品"), values = c("#4169e1", "#000080")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("商业智利-中国",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) + guides(col = guide_legend(nrow = 2))

g7

g8 <- ggplot() +

  geom_line(aes(y = exportscusa, x = year, colour = "exportscusa"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = importscusa, x = year, colour = "importscusa"), size=1.5, data = data, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  scale_y_continuous(breaks=seq(0,20000,5000)) +

  expand_limits(y=c(5000,20000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("出口的产品", "进口产品"), values = c("#a0522d", "#E18942")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("商业智利-美国",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) +

  guides(col = guide_legend(nrow = 2))

g8

g9 <- ggplot() +

  geom_line(aes(y = exportsceu, x = year, colour = "exportsceu"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = importsceu, x = year, colour = "importsceu"), size=1.5, data = data, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  scale_y_continuous(breaks=seq(0,20000,5000)) +

  expand_limits(y=c(5000,20000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("出口的产品", "进口产品"), values = c("#556b2f", "#2f556b")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("商业智利-欧盟",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) +

  guides(col = guide_legend(nrow = 2))

g9

g10 <- ggplot() +

  geom_line(aes(y = bccc, x = year, colour = "bccc"), size=1.5, data = data2, stat="identity") +

  geom_line(aes(y = bccw, x = year, colour = "bccw"), size=1.5, data = data2, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("淨出口中国的产品", "淨出口人间的产品"), values = c("#4169e1", "#FF43A4")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("淨出口中国和人间",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) + guides(col = guide_legend(nrow = 2))

g10

g11 <- ggplot() +

  geom_line(aes(y = bccusa, x = year, colour = "bccusa"), size=1.5, data = data2, stat="identity") +

  geom_line(aes(y = bccw, x = year, colour = "bccw"), size=1.5, data = data2, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) + scale_y_continuous(breaks=seq(-10000,25000,5000)) +

  expand_limits(y=c(-10000,25000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("淨出口美国的产品", "淨出口人间的产品"), values = c("#d68a59", "#FF43A4")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("淨出口美国和人间",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) + guides(col = guide_legend(nrow = 2))

g11

g12 <- ggplot() +

  geom_line(aes(y = bcceu, x = year, colour = "bcceu"), size=1.5, data = data2, stat="identity") +

  geom_line(aes(y = bccw, x = year, colour = "bccw"), size=1.5, data = data2, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("淨出口人间的产品", "淨出口欧盟的产品"), values = c("#FF43A4", "#556b2f"), guide = guide_legend(reverse=TRUE)) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("淨出口欧盟和人间",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) +

  guides(col = guide_legend(nrow = 2))

g12

g13 <- ggplot() +

  geom_line(aes(y = exportscc, x = year, colour = "exportscc"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = exportscusa, x = year, colour = "exportscusa"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = exportsceu, x = year, colour = "exportsceu"), size=1.5, data = data, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) + scale_y_continuous(breaks=seq(0,20000,5000)) + expand_limits(y=c(5000,20000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("中国(第一贸易合作伙伴)出口智利的产品", "美国(第二贸易合作伙伴)出口智利的产品", "欧盟(第三贸易合作伙伴)出口智利的产品"), values = c("#4169e1", "#d68a59","#556b2f")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("出口中国，美国和欧盟的产品",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) +

  guides(col = guide_legend(nrow = 3))

g13

g14 <- ggplot() +

  geom_line(aes(y = importscc, x = year, colour = "importscc"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = importscusa, x = year, colour = "importscusa"), size=1.5, data = data, stat="identity") +

  geom_line(aes(y = importsceu, x = year, colour = "importsceu"), size=1.5, data = data, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  scale_y_continuous(breaks=seq(4000,20000,4000)) +

  expand_limits(y=c(4000,20000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("中国(第一贸易合作伙伴)进口智利的产品", "美国(第二贸易合作伙伴)进口智利的产品", "欧盟(第三贸易合作伙伴)进口智利的产品"), values = c("#4169e1", "#d68a59","#556b2f")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("从中国，美国和欧盟进口产品",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) +

  guides(col = guide_legend(nrow = 3))

g14

g15 <- ggplot() +

  geom_line(aes(y = bccc, x = year, colour = "bccc"), size=1.5, data = data2, stat="identity") +

  geom_line(aes(y = bccusa, x = year, colour = "bccusa"), size=1.5, data = data2, stat="identity") +

  geom_line(aes(y = bcceu, x = year, colour = "bcceu"), size=1.5, data = data2, stat="identity") +

  xlab("年") + ylab("百万美元") +

  scale_x_continuous(breaks=seq(2000,2015,3)) +

  scale_y_continuous(breaks=seq(-10000,15000,5000)) +

  expand_limits(y=c(-10000,15000)) +

  theme(panel.background = element_rect(fill="white"), panel.grid = element_line(colour="white")) +

  scale_color_manual(labels = c("中国(第一贸易合作伙伴)淨出口智利的产品", "美国(第二贸易合作伙伴)淨出口智利的产品", "欧盟(第三贸易合作伙伴)淨出口智利的产品"), values = c("#4169e1", "#d68a59","#556b2f")) +

  theme(legend.position="bottom", legend.direction="horizontal", legend.title = element_blank(), axis.line.x = element_line(size=1.0), axis.line.y = element_line(size=1.0)) +

  ggtitle("淨出口中国，美国和欧盟进口产品",

          subtitle = "消息灵通人士: 智利海关总署, 智利中央银行 & 商務處智利中國") +

  theme(plot.title=element_text(size=20, family="AdobeHeitiStd-Regular"), text=element_text(size=18, family="AdobeHeitiStd-Regular")) +

  guides(col = guide_legend(nrow = 3))

g15

转自： http://pacha.hk/ggplot2_chinese.html

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Creating beautiful charts in chinese with ggplot2

Before we start

Initial setup

The charts

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