编辑:我发现年份必须是数字数据类型,或者代码必须写成:
ggplot(data = Electricity_Consumption_per_Capita_United_States, aes(x = year, y = value)) +
geom_line(group = 1) +
scale_x_continuous(breaks = seq(1960, 2010, 5))
原始问题:
我下载了"每人使用电费"来自here的数据集。这就是数据框的样子:
我试图在数据框架(1960年至2011年)中绘制多年来任何特定国家的人均用电量变化,并决定从美国开始。我认为使用tidyr组织一列下的年份和另一列下的实际kWh是有意义的:
Electricity_Consumption_Per_Capita <- read_excel("Datasets/Indicator_Electricity consumption per capita.xlsx")
#Gather the years and corresponding electricity consumption per capita values per country.
Electricity_Consumption_Per_Capita %>%
gather(key = "year", value = "value", -"Electricity consumption, per capita (kWh)") -> Electricity_Consumption_Per_Capita
#Rename the Electricity consumption, per capita (kWh) variable to Country, then filter to obtain the data for the United States.
Electricity_Consumption_Per_Capita %>%
rename(Country = `Electricity consumption, per capita (kWh)`) %>%
group_by(Country) %>%
filter(Country == "United States") -> Electricity_Consumption_per_Capita_United_States
结果数据框如下所示:
不幸的是,我无法弄清楚如何在同一地块上绘制价值(千瓦时)和年份。我尝试了一个正常的折线图但没有成功:
ggplot(data = Electricity_Consumption_per_Capita_United_States, aes(x = "year", y = "value")) +
geom_line()
我认为这是一个离散变量和连续变量问题,但我不确定。愿有人指出我正确的方向吗?我是否需要改变&#34;年份&#34;列,当前是字符向量,到日期数据类型?
答案 0 :(得分:1)
从美学中删除引号。