Question

我试图通过计算12个不同列的空数和响应数（值+ NA）来汇总我的数据。（在此示例中重命名）

数据：

my_df <- structure(list(SCR1 = c(100, 80.2, 70.3, 
90.1, 100, 100, 100, 100, 40.6, 80.2, 80.2, 90.1, 30.7, 100, 
80.2), SCR2 = c(75.25, 75.25, 75.25, 75.25, 75.25, 75.25, 
100, 100, 50.5, 50.5, 75.25, 50.5, 50.5, 100, 50.5), SCR3 = c(100, 
100, 100, 100, 75.25, 75.25, 100, 100, 100, 75.25, 100, 100, 
NA, 100, 75.25), SCR4 = c(100, 50.5, 
50.5, 75.25, 100, 75.25, 100, 100, 100, 75.25, 50.5, 100, 100, 
100, 75.25), SCR5 = c(100, 75.25, 50.5, 
75.25, 100, 75.25, 100, 100, 50.5, 75.25, 75.25, 75.25, 25.75, 
100, 75.25), SCR6 = c(100, 25.75, 50.5, 
75.25, 100, 75.25, 100, 100, 75.25, 75.25, 75.25, 100, 50.5, 
100, 50.5), SCR7 = c(75.25, 50.5, 75.25, 
100, 50.5, 75.25, 100, 100, 75.25, 50.5, 75.25, 100, 25.75, 100, 
75.25), SCR8 = c(75.25, 75.25, 50.5, 75.25, 
75.25, 75.25, 100, 100, 75.25, 75.25, 75.25, 75.25, 50.5, 100, 
75.25), SCR9 = c(50.5, NA, NA, 25.75, 100, NA, 
NA, NA, 100, NA, NA, NA, 75.25, NA, NA), SCR10 = c(25.75, 
NA, NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA), SCR11 = c(100, 
75.25, 50.5, 75.25, 100, 75.25, 100, 100, 75.25, 75.25, 75.25, 
100, 50.5, 100, 50.5), SCR12 = c(75.25, 75.25, 
50.5, NA, 75.25, 75.25, 100, 100, 75.25, NA, 75.25, 75.25, 50.5, 
100, 50.5), ID = 1:15), row.names = c(NA, 15L), class = "data.frame")

在这里，我想返回值的数量和NA的数量，然后返回百分比NA

我找到了一种计算NA数量的解决方案，但是我很难添加带有计数和百分比的第二/第三列。

my_df %>% map_df(function(x) sum(is.na(x))) %>% gather(feature, num_nulls) %>% dplyr::arrange(desc(num_nulls))

如何添加计数和不适用百分比？我正在尝试使用tidyverse并避免使用SQL。

Answer 1

您快到了。可以使用其他mutate语句创建另外两列：

my_df %>%
    map_df(function(x) sum(is.na(x))) %>%
    gather(feature, num_nulls) %>%
    dplyr::arrange(desc(num_nulls)) %>%
    mutate(num_responses = nrow(my_df) - num_nulls,
        percent = num_responses/nrow(my_df))

Tidyverse解决方案，用于计算多个字段的空值

1 个答案: