我在下面创建了气泡图,但是正如您所看到的,我在y轴上有太多无法区分的名称。如何扩大它们之间的距离以使其更明显?
library(ggplot2)
library(dplyr)
# The dataset is provided in the gapminder library
library(gapminder)
data <- gapminder %>% filter(year=="2007") %>% dplyr::select(-year)
# Most basic bubble plot
data %>%
arrange(desc(pop)) %>%
mutate(country = factor(country, country)) %>%
ggplot(aes(x=gdpPercap, y=country, size=pop, color=continent)) +
geom_point(alpha=0.5) +
scale_size(range = c(.1, 24), name="Population (M)")+ facet_grid(cols = vars(continent))+
theme(axis.text.x = element_text(angle = 45, vjust = 0.5, hjust=1))
答案 0 :(得分:1)
即使您按大陆分组,您的问题也来自于在同一轴上显示所有国家。您应该将facet_grid()
的{{1}}切换为facet_wrap()
。然后,您可以保存图像并设置高度和宽度以获取所需的图像。我在下面的图片中使用的尺寸为高度= 800,宽度= 2000。
scales = "free_y"
答案 1 :(得分:1)
我建议您使用一种方法来避开y轴标签,但暗示您必须设置字体大小。您必须将 public static String getHotspotIpAddress(Context context) {
WifiManager wifimanager = (WifiManager) context.getApplicationContext().getSystemService(WIFI_SERVICE);
DhcpInfo dhcpInfo = wifimanager == null ? null : wifimanager.getDhcpInfo();
if (dhcpInfo != null) {
int address = dhcpInfo.serverAddress;
return ((address & 0xFF)
+ "." + ((address >> 8) & 0xFF)
+ "." + ((address >> 16) & 0xFF)
+ "." + ((address >> 24) & 0xFF));
}
return "";
}
添加到guide = guide_axis(n.dodge=2)
选项。您可以玩几个想要的躲避级别。这里的代码:
scale_y_discrete()
输出: