python数据分析企业实战案例与源码，与专栏 python数据分析可视化匹配

# 安装和加载必要的包 if (!requireNamespace("dplyr", quietly = TRUE)) install.packages("dplyr") if (!requireNamespace("ggplot2", quietly = TRUE)) install.packages("ggplot2") if (!requireNamespace("readr", quietly = TRUE)) install.packages("readr") library(dplyr) library(ggplot2) library(readr) # 使用read_csv从在线源读取数据 url <- "https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv" data <- read_csv(url) # 使用dplyr进行数据处理 data_processed <- data %>% filter(Region == "EUROPE") %>% select(Country, Population) %>% arrange(desc(Population)) # 查看处理后的数据 print(data_processed) # 使用ggplot2进行数据可视化 ggplot(data_processed, aes(x=reorder(Country, -Population), y=Population)) + geom_bar(stat="identity", fill="steelblue") + theme_minimal() + labs(title="European Countries by Population", x="Country", y="Population") + coord_flip() # 翻转坐标轴以便阅读