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r - Tidyverse 解决方案，用于从多个字段中计数空值

问题描述

我试图通过计算NA12 个不同列的空值数和响应数（值 + ）来总结我的数据。（为此示例重命名）

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数量，NA然后是百分比NA

我找到了一个计算数量的解决方案，NA但我正在努力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))

如何添加计数和百分比 na？我正在尝试使用 tidyverse 并避免使用 SQL。

标签： r

解决方案

你快到了。可以使用附加mutate语句创建附加的两列：

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))

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