R语言高效处理复杂数据函数汇总@灵魂体验官

 1、批量变量名修改

pay_data<-upData(pay_data,rename=c(X1="top_up_users",
        X2="top_up_mon",
        X3="top_up_times",
        X4="tp_date"))

2、分组计算同一变量的多个统计值 

#数据分类汇总
基础方式：
top_up_data_para1%>%group_by(cur_month)%>%
  summarise(top_up_month_female=sum(top_up_female),
            max_female=max(top_up_female),
            min_female=min(top_up_female),
            median_female=median(top_up_female),
            top_up_month_male=sum(top_up_male),
            max_male=max(top_up_male),
            min_male=min(top_up_male),
            median_male=median(top_up_male))


#优化以上计算方式：
优化方式1：
top_up_data_para1%>%group_by(cur_month)%>%
  summarise(across(c("top_up_users","top_up_times"),
list(max,min,median,sum),.names="{.col}_{.fn}"))

优化方式2：
top_