Data report overview

The dataset examined has the following dimensions:

Feature Result
Number of observations 257
Number of variables 149

Checks performed

The following variable checks were performed, depending on the data type of each variable:

  character factor labelled numeric integer logical Date
Identify miscoded missing values × × × × × ×
Identify prefixed and suffixed whitespace × × ×
Identify levels with < 6 obs. × × ×
Identify case issues × × ×
Identify misclassified numeric or integer variables × × ×
Identify outliers × × ×

Please note that all numerical values in the following have been rounded to 2 decimals.

Summary table

  Variable class # unique values Missing observations Any problems?
ID character 257 0.00 % ×
Rum22 integer 7 0.00 % ×
Sav2 integer 8 0.00 % ×
Sav3 integer 6 0.00 % ×
Sav6 integer 8 0.00 % ×
Sav9 integer 7 0.00 % ×
Sav14 integer 8 0.00 % ×
Sav15 integer 6 0.00 % ×
Sav16 integer 8 0.00 % ×
Sav18 integer 8 0.00 % ×
Sav19 integer 7 0.00 % ×
Sav21 integer 6 0.00 % ×
Sav22 integer 8 0.00 % ×
LS3 integer 8 0.00 % ×
LS4 integer 8 0.00 % ×
Dependable integer 6 0.00 % ×
NewExperiences integer 7 0.00 % ×
Sympathetic integer 6 0.00 % ×
Disorganized integer 7 0.00 % ×
Calm integer 7 0.00 % ×
Conventional integer 5 0.00 % ×
Health2 integer 5 0.00 % ×
Health4 integer 4 0.00 % ×
Health5 integer 5 0.00 % ×
Health6 integer 5 0.00 % ×
Health7 integer 5 0.00 % ×
Health8 integer 5 0.00 % ×
Health10 integer 5 0.00 % ×
Health11 integer 4 0.00 % ×
Health15 integer 5 0.00 % ×
Health16 integer 5 0.00 % ×
Health17 integer 5 0.00 % ×
Health18 integer 5 0.00 % ×
Health19 integer 5 0.00 % ×
Health20 integer 5 0.00 % ×
Health23 integer 5 0.00 % ×
Health24 integer 5 0.00 % ×
Health25 integer 5 0.00 % ×
Health26 integer 5 0.00 % ×
Health27 integer 4 0.00 % ×
Health29 integer 5 0.00 % ×
Health31 integer 4 0.00 % ×
Health32 integer 5 0.00 % ×
Dep2 integer 4 0.00 % ×
Dep3 integer 4 0.00 % ×
Dep6 integer 4 0.00 % ×
Dep8 integer 4 0.00 % ×
Dep13 integer 4 0.00 % ×
Dep15 integer 4 0.00 % ×
RRS numeric 38 0.00 % ×
RRS_D numeric 26 0.00 % ×
RRS_R numeric 15 0.00 % ×
Sav2R numeric 8 0.00 % ×
Sav6R numeric 8 0.00 % ×
Sav14R numeric 8 0.00 % ×
Sav16R numeric 8 0.00 % ×
Sav18R numeric 8 0.00 % ×
Sav22R numeric 8 0.00 % ×
SBI numeric 30 0.00 % ×
SavPos numeric 33 0.00 % ×
SavNeg integer 29 0.00 % ×
Anticipating numeric 19 0.00 % ×
Reminiscing numeric 20 0.00 % ×
SWLS numeric 21 0.00 % ×
DisR numeric 7 0.00 % ×
ConvR numeric 5 0.00 % ×
Agree numeric 10 0.00 % ×
Consc numeric 11 0.00 % ×
EmoSt numeric 10 0.00 % ×
Openness numeric 9 0.00 % ×
Dep8R numeric 4 0.00 % ×
CESD numeric 17 0.00 % ×

Variable list

ID

  • The variable is a key (distinct values for each observation).

Rum22

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 1
1st and 3rd quartiles 1; 2
Min. and max. 0; 6

  • Note that the following possible outlier values were detected: "0".

Sav2

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 2
1st and 3rd quartiles 2; 3
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "0", "1".

Sav3

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 6
Median 6
1st and 3rd quartiles 6; 7
Min. and max. 2; 7

  • Note that the following possible outlier values were detected: "2", "3", "4".

Sav6

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 2
1st and 3rd quartiles 1; 3
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "7".

Sav9

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 1; 7

  • Note that the following possible outlier values were detected: "7".

Sav14

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 2
1st and 3rd quartiles 2; 3
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "0", "1".

Sav15

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 6
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 2; 7

  • Note that the following possible outlier values were detected: "7".

Sav16

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 2
1st and 3rd quartiles 2; 3
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "0", "1".

Sav18

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 2
1st and 3rd quartiles 1; 3
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "7".

Sav19

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 6
1st and 3rd quartiles 4; 6
Min. and max. 1; 7

  • Note that the following possible outlier values were detected: "7".

Sav21

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 6
Median 6
1st and 3rd quartiles 4; 6
Min. and max. 2; 7

  • Note that the following possible outlier values were detected: "7".

Sav22

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 2
1st and 3rd quartiles 2; 3
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "0", "1".

LS3

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 4; 6
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "7".

LS4

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 4; 6
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "7".

Dependable

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 6
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 2; 7

  • Note that the following possible outlier values were detected: "7".

NewExperiences

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "7".

Sympathetic

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 6
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 2; 7

  • Note that the following possible outlier values were detected: "7".

Disorganized

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 5
1st and 3rd quartiles 4; 6
Min. and max. 0; 7

  • Note that the following possible outlier values were detected: "0".

Calm

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 6
1st and 3rd quartiles 4; 6
Min. and max. 1; 7

  • Note that the following possible outlier values were detected: "7".

Conventional

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “3”

  • Note that the following levels have at most five observations: "0", "1".

Health2

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “1”

  • Note that the following levels have at most five observations: "4".

Health4

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Health5

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health6

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health7

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health8

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “1”

  • Note that the following levels have at most five observations: "4".

Health10

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health11

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Health15

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health16

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health17

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “1”

  • Note that the following levels have at most five observations: "4".

Health18

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health19

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health20

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health23

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “1”

  • Note that the following levels have at most five observations: "4".

Health24

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "3", "4".

Health25

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “1”

  • Note that the following levels have at most five observations: "4".

Health26

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health27

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Health29

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “0”

  • Note that the following levels have at most five observations: "4".

Health31

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Health32

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “1”

  • Note that the following levels have at most five observations: "4".

Dep2

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Dep3

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Dep6

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Dep8

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Dep13

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

Dep15

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “0”

  • Note that the following levels have at most five observations: "3".

RRS

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 38
Median 37
1st and 3rd quartiles 32; 43
Min. and max. 17; 60

  • Note that the following possible outlier values were detected: "60".

RRS_D

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 26
Median 21
1st and 3rd quartiles 17; 24
Min. and max. 10; 37

  • Note that the following possible outlier values were detected: "36", "37".

RRS_R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 15
Median 8
1st and 3rd quartiles 6; 10
Min. and max. 1; 17

  • Note that the following possible outlier values were detected: "17".

Sav2R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 1; 8

  • Note that the following possible outlier values were detected: "7", "8".

Sav6R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 5; 7
Min. and max. 1; 8

  • Note that the following possible outlier values were detected: "1".

Sav14R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 1; 8

  • Note that the following possible outlier values were detected: "7", "8".

Sav16R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 1; 8

  • Note that the following possible outlier values were detected: "7", "8".

Sav18R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 5; 7
Min. and max. 1; 8

  • Note that the following possible outlier values were detected: "1".

Sav22R

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 8
Median 6
1st and 3rd quartiles 5; 6
Min. and max. 1; 8

  • Note that the following possible outlier values were detected: "7", "8".

SBI

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 30
Median 131
1st and 3rd quartiles 128; 137
Min. and max. 114; 151

  • Note that the following possible outlier values were detected: "114", "118".

SavPos

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 33
Median 66
1st and 3rd quartiles 61; 70
Min. and max. 37; 83

  • Note that the following possible outlier values were detected: "37", "78", "80", "81", "83".

SavNeg

Feature Result
Variable type integer
Number of missing obs. 0 (0 %)
Number of unique values 29
Median 67
1st and 3rd quartiles 64; 71
Min. and max. 49; 78

  • Note that the following possible outlier values were detected: "49", "50", "51", "53".

Anticipating

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 19
Median 44
1st and 3rd quartiles 41; 46
Min. and max. 35; 54

  • Note that the following possible outlier values were detected: "54".

Reminiscing

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 20
Median 45
1st and 3rd quartiles 43; 47
Min. and max. 32; 54

  • Note that the following possible outlier values were detected: "32", "36", "54".

SWLS

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 21
Median 24
1st and 3rd quartiles 22; 27
Min. and max. 13; 33

  • Note that the following possible outlier values were detected: "13", "14".

DisR

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 7
Median 3
1st and 3rd quartiles 2; 4
Min. and max. 1; 8

  • The following suspected missing value codes enter as regular values: "8".

  • Note that the following possible outlier values were detected: "8".


ConvR

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “5”

  • The following suspected missing value codes enter as regular values: "8".

  • Note that the following levels have at most five observations: "7", "8".


Agree

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 10
Median 4.5
1st and 3rd quartiles 4; 5
Min. and max. 2; 6.5

  • Note that the following possible outlier values were detected: "2".

Consc

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 11
Median 4
1st and 3rd quartiles 4; 5
Min. and max. 1.5; 6.5

  • Note that the following possible outlier values were detected: "1.5", "2", "2.5", "3", "3.5".

EmoSt

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 10
Median 4.5
1st and 3rd quartiles 3.5; 5
Min. and max. 2; 6.5

  • Note that the following possible outlier values were detected: "6.5".

Openness

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 9
Median 5.5
1st and 3rd quartiles 5; 6
Min. and max. 3; 7

  • Note that the following possible outlier values were detected: "6.5", "7".

Dep8R

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “3”

  • Note that the following levels have at most five observations: "0".

CESD

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 17
Median 15
1st and 3rd quartiles 13; 18
Min. and max. 8; 25

  • Note that the following possible outlier values were detected: "8", "9".

Report generation information:

  • Created by Sara Locatelli.

  • Report creation time: Mon Apr 16 2018 10:12:39

  • dataMaid v1.1.0 [Pkg: 2018-02-06 from CRAN (R 3.4.3)]

  • R version 3.4.4 (2018-03-15).

  • Platform: x86_64-apple-darwin15.6.0 (64-bit)(macOS High Sierra 10.13.3).

  • Function call: makeDataReport(data = Facebook, output = "html", render = FALSE, onlyProblematic = TRUE, file = "report_Facebook_sum.Rmd", replace = TRUE)