R 中 pyramid_chart 中的 bin 大小
bin size in pyramid_chart in R
我目前正在尝试了解为什么我的 R 金字塔图表(JupyterNotebook 中的 运行)中的 bin 大小关闭。
我有一个非常简单的 table,其中我使用了 3 个变量:gender
、age group
和 count
。
见下文table:
和运行一个pyramid_chart
,但是,条的大小不对,我不知道如何解决。
我尝试制作金字塔图(也称为 bidirectional chart
或 side to side chart
),但我遇到了 facet_share
的问题,它给我一个错误:R[write to console]: Error in axes$y$left[[1]]$children$axis$grobs[[lab_idx]] : attempt to select less than one element in get1index
.
我使用的代码如下所示:
数据table
val_gen_age<-data.frame(gender = c("Female", "Female","Female","Female","Female","Female","Male","Male","Male","Male","Male"), age group = c("18-24", "25-34", "35-44","45-54","55-64","65+","18-24", "25-34", "35-44","45-54","55-64"),count = c("1270", "2280", "1257","855","180","450","1449","1170","89"))
条形的大小不同,因为组不均匀。第 55-64 组仅出现在 Female
中。如果您添加一行 add_row
填充 Male
的 age_group 55-64
的对应行,则条形图将如预期的那样:
library(dplyr)
library(ggcharts)
df1 <- df %>%
add_row(gender ="Male", age_group = "55-64", count = 0)
pyramid_chart(
df1,
age_group,
count,
gender,
bar_colors = c("darkgreen", "darkorange"),
sort = "no",
xlab = NULL,
title = NULL
)
数据:
structure(list(gender = c("Female", "Female", "Female", "Female",
"Female", "Male", "Male", "Male", "Male"), age_group = c("18-24",
"25-34", "35-44", "45-54", "55-64", "18-24", "25-34", "35-44",
"45-54"), count = c(1270L, 2280L, 1257L, 855L, 180L, 450L, 1449L,
1170L, 89L)), class = "data.frame", row.names = c(NA, -9L))
我目前正在尝试了解为什么我的 R 金字塔图表(JupyterNotebook 中的 运行)中的 bin 大小关闭。
我有一个非常简单的 table,其中我使用了 3 个变量:gender
、age group
和 count
。
见下文table:
和运行一个pyramid_chart
,但是,条的大小不对,我不知道如何解决。
我尝试制作金字塔图(也称为 bidirectional chart
或 side to side chart
),但我遇到了 facet_share
的问题,它给我一个错误:R[write to console]: Error in axes$y$left[[1]]$children$axis$grobs[[lab_idx]] : attempt to select less than one element in get1index
.
我使用的代码如下所示:
数据table
val_gen_age<-data.frame(gender = c("Female", "Female","Female","Female","Female","Female","Male","Male","Male","Male","Male"), age group = c("18-24", "25-34", "35-44","45-54","55-64","65+","18-24", "25-34", "35-44","45-54","55-64"),count = c("1270", "2280", "1257","855","180","450","1449","1170","89"))
条形的大小不同,因为组不均匀。第 55-64 组仅出现在 Female
中。如果您添加一行 add_row
填充 Male
的 age_group 55-64
的对应行,则条形图将如预期的那样:
library(dplyr)
library(ggcharts)
df1 <- df %>%
add_row(gender ="Male", age_group = "55-64", count = 0)
pyramid_chart(
df1,
age_group,
count,
gender,
bar_colors = c("darkgreen", "darkorange"),
sort = "no",
xlab = NULL,
title = NULL
)
数据:
structure(list(gender = c("Female", "Female", "Female", "Female",
"Female", "Male", "Male", "Male", "Male"), age_group = c("18-24",
"25-34", "35-44", "45-54", "55-64", "18-24", "25-34", "35-44",
"45-54"), count = c(1270L, 2280L, 1257L, 855L, 180L, 450L, 1449L,
1170L, 89L)), class = "data.frame", row.names = c(NA, -9L))