26 野に咲く名無し@転載禁止 2024/12/04 (水) 23:51:19.038 ID:ch-hZtq2mv40
欠損値はこんな感じでn_missが欠損数、pct_missが欠損の割合や
相当欠損しとる
library(naniar)
miss_var_summary(tuesdata［［1］］)
# A tibble: 13 × 3
variable n_miss pct_miss
<chr> <int> <num>
1 Number 57905 97.6
2 Concentration 46842 79.0
3 Perfumers 38781 65.4
4 Rating_Value 29279 49.4
5 Rating_Count 29279 49.4
6 Top_Notes 28186 47.5
7 Middle_Notes 28176 47.5
8 Base_Notes 28171 47.5
9 Main_Accords 27100 45.7
10 Release_Year 20316 34.2
11 Name 1 0.00169
12 Brand 1 0.00169
13 URL 0 0