本文介绍了在不同的列中用年绘制时间序列的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有以下数据框 dt(head,6):

我需要创建一个图表,其中在x轴上具有年份(2015、2016、2017、2018、2019),各列(W15,W16,W17,W18,W19)各不相同-年).它们都应按"TEAM"列分组.

I need to create a graph in which I have the years (2015, 2016, 2017, 2018, 2019) on the x-axis , different columns (W15, W16, W17, W18, W19 - each one relates to one year) on the y-axis. They are all should be grouped by the column TEAM.

我尝试使用 ggplot2 无济于事.

推荐答案

您需要将数据从宽转换为长,然后使用 ggplot .看下面;

You need to convert your data from wide to long and then use ggplot. Look below;

library(tidyverse)

dt %>% 
  pivot_longer(., -Team, values_to = "W", names_to = "Year") %>% 
  mutate(Year = as.integer(gsub("W", "20", Year))) %>% 
  ggplot(., aes(x=Year, y=W, group=Team)) +
  geom_line(aes(color=Team))

数据:

Data:

dt <- structure(list(Team = c("AC", "AF", "AK", "AL", "AA&M", "Alst", "Alb"), 
                     W15 = c(7L, 12L, 20L, 18L, 8L, 17L, 24L), 
                     W16 = c(9L, 12L, 25L, 18L, 10L, 12L, 23L), 
                     W17 = c(13L, 12L, 27L, 19L, 2L, 8L, 21L), 
                     W18 = c(16L, 12L, 14L, 20L, 3L, 8L, 22L), 
                     W19 = c(27L, 14L, 17L, 18L, 5L, 12L, 12L)), 
                class = "data.frame", row.names = c(NA, -7L))
#   Team W15 W16 W17 W18 W19
# 1   AC   7   9  13  16  27
# 2   AF  12  12  12  12  14
# 3   AK  20  25  27  14  17
# 4   AL  18  18  19  20  18
# 5 AA&M   8  10   2   3   5
# 6 Alst  17  12   8   8  12
# 7  Alb  24  23  21  22  12

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10-16 16:28