missing data
Steen Flammild Harsted & Søren O’Neill
The Workflow
The Workflow
Missing data
What?
Where?
Why?
How much?
pattern or missing at random?
How much?
name genus vore order
Length:83 Length:83 Length:83 Length:83
Class :character Class :character Class :character Class :character
Mode :character Mode :character Mode :character Mode :character
conservation sleep_total sleep_rem sleep_cycle
Length:83 Min. : 1.90 Min. :0.100 Min. :0.1167
Class :character 1st Qu.: 7.85 1st Qu.:0.900 1st Qu.:0.1833
Mode :character Median :10.10 Median :1.500 Median :0.3333
Mean :10.43 Mean :1.875 Mean :0.4396
3rd Qu.:13.75 3rd Qu.:2.400 3rd Qu.:0.5792
Max. :19.90 Max. :6.600 Max. :1.5000
NA's :22 NA's :51
awake brainwt bodywt
Min. : 4.10 Min. :0.00014 Min. : 0.005
1st Qu.:10.25 1st Qu.:0.00290 1st Qu.: 0.174
Median :13.90 Median :0.01240 Median : 1.670
Mean :13.57 Mean :0.28158 Mean : 166.136
3rd Qu.:16.15 3rd Qu.:0.12550 3rd Qu.: 41.750
Max. :22.10 Max. :5.71200 Max. :6654.000
NA's :27 How much?
name height mass hair_color skin_color eye_color birth_year sex
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gender homeworld species films vehicles starships
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[87,] FALSE TRUE FALSE FALSE FALSE FALSEHow much?
# A tibble: 1 × 14
name height mass hair_color skin_color eye_color birth_year sex gender
<int> <int> <int> <int> <int> <int> <int> <int> <int>
1 0 6 28 5 0 0 44 4 4
# ℹ 5 more variables: homeworld <int>, species <int>, films <int>,
# vehicles <int>, starships <int>The naniar package
The naniar package vis_miss()
The naniar package vis_miss()
Use arrange() to get more information ::: {.cell output-location=‘fragment’}
:::
The naniar package gg_miss_upset()
