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	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	Any problems?
ID	character	257	×
gender	factor	2
Rum1	integer	7
Rum2	integer	7
Rum3	integer	8	×
Rum4	integer	7	×
Rum5	integer	6	×
Rum6	integer	8	×
Rum7	integer	8	×
Rum8	integer	6
Rum9	integer	7	×
Rum10	integer	7	×
Rum11	integer	6	×
Rum12	integer	4
Rum13	integer	8	×
Rum14	integer	8	×
Rum15	integer	7	×
Rum16	integer	7	×
Rum17	integer	7
Rum18	integer	7	×
Rum19	integer	7	×
Rum20	integer	7	×
Rum21	integer	6
Rum22	integer	7	×
Sav1	integer	6
Sav2	integer	8	×
Sav3	integer	6	×
Sav4	integer	8
Sav5	integer	6
Sav6	integer	8	×
Sav7	integer	6
Sav8	integer	8
Sav9	integer	7	×
Sav10	integer	7
Sav11	integer	7
Sav12	integer	8
Sav13	integer	7
Sav14	integer	8	×
Sav15	integer	6	×
Sav16	integer	8	×
Sav17	integer	6
Sav18	integer	8	×
Sav19	integer	7	×
Sav20	integer	8
Sav21	integer	6	×
Sav22	integer	8	×
Sav23	integer	6
Sav24	integer	8
LS1	integer	8
LS2	integer	7
LS3	integer	8	×
LS4	integer	8	×
LS5	integer	8
Extraverted	integer	6
Critical	integer	7
Dependable	integer	6	×
Anxious	integer	8
NewExperiences	integer	7	×
Reserved	integer	8
Sympathetic	integer	6	×
Disorganized	integer	7	×
Calm	integer	7	×
Conventional	integer	8	×
Health1	integer	7	×
Health2	integer	5	×
Health3	integer	6	×
Health4	integer	4	×
Health5	integer	6
Health6	integer	5	×
Health7	integer	5	×
Health8	integer	6
Health9	integer	6	×
Health10	integer	5	×
Health11	integer	4	×
Health12	integer	4
Health13	integer	6
Health14	integer	4
Health15	integer	5	×
Health16	integer	5	×
Health17	integer	6
Health18	integer	5	×
Health19	integer	5	×
Health20	integer	5	×
Health21	integer	4
Health22	integer	7	×
Health23	integer	5	×
Health24	integer	5	×
Health25	integer	6
Health26	integer	5	×
Health27	integer	4	×
Health28	integer	7	×
Health29	integer	5	×
Health30	integer	3
Health31	integer	4	×
Health32	integer	5	×
Dep1	integer	5	×
Dep2	integer	4	×
Dep3	integer	4	×
Dep4	integer	4
Dep5	integer	6	×
Dep6	integer	4	×
Dep7	integer	4
Dep8	integer	4	×
Dep9	integer	5	×
Dep10	integer	5	×
Dep11	integer	3
Dep12	integer	4
Dep13	integer	4	×
Dep14	integer	5	×
Dep15	integer	5	×
Dep16	integer	5	×
RRS	numeric	41	×
RRS_D	numeric	28	×
RRS_R	numeric	18	×
RRS_B	numeric	16	×
Sav2R	numeric	8	×
Sav4R	numeric	8
Sav6R	numeric	8	×
Sav8R	numeric	8
Sav10R	numeric	7
Sav12R	numeric	8
Sav14R	numeric	8	×
Sav16R	numeric	8	×
Sav18R	numeric	8	×
Sav20R	numeric	8
Sav22R	numeric	8	×
Sav24R	numeric	8
SBI	numeric	30	×
SavPos	numeric	33	×
SavNeg	integer	29	×
Anticipating	numeric	19	×
Moment	numeric	17
Reminiscing	numeric	20	×
SWLS	numeric	21	×
CritR	numeric	7
AnxR	numeric	8
ResR	numeric	8
DisR	numeric	7	×
ConvR	numeric	8	×
Extraversion	numeric	12
Agree	numeric	10	×
Consc	numeric	11	×
EmoSt	numeric	10	×
Openness	numeric	11	×
Health	numeric	38	×
Dep4R	numeric	4
Dep8R	numeric	4	×
Dep12R	numeric	4
CESD	numeric	17	×

Variable list

ID

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

gender

Feature	Result
Variable type	factor
Number of missing obs.	0 (0 %)
Number of unique values	2
Mode	“Male”

Rum1

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

Rum2

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

Rum3

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".

Rum4

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

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

Rum5

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

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

Rum6

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".

Rum7

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".

Rum8

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

Rum9

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".

Rum10

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

Rum11

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

Note that the following possible outlier values were detected: "4", "5".

Rum12

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”

Rum13

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".

Rum14

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

Note that the following possible outlier values were detected: "3", "4", "5", "6", "7".

Rum15

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".

Rum16

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

Rum17

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

Rum18

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

Rum19

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

Rum20

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

Note that the following possible outlier values were detected: "3", "4", "5", "7".

Rum21

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

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".

Sav1

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

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".

Sav4

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

Sav5

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

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".

Sav7

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

Sav8

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

Sav10

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

Sav11

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.	1; 7

Sav12

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

Sav13

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.	1; 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".

Sav17

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

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".

Sav20

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

Sav23

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

Sav24

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

LS1

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

LS2

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.	1; 7

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".

LS5

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

Extraverted

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	2; 7

Critical

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

Anxious

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	0; 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".

Reserved

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	4
1st and 3rd quartiles	3; 5
Min. and max.	0; 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

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	0; 7

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

Health1

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

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".

Health3

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

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

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

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

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

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

Health9

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

Note that the following possible outlier values were detected: "3", "4", "5".

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".

Health12

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”

Health13

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

Health14

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”

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

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

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".

Health21

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”

Health22

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

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

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

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".

Health28

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

Note that the following possible outlier values were detected: "3", "4", "5", "6".

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".

Health30

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	3
Mode	“0”

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".

Dep1

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".

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".

Dep4

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	“1”

Dep5

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

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

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".

Dep7

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”

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".

Dep9

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".

Dep10

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".

Dep11

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	3
Mode	“0”

Dep12

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”

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: "4".

Dep14

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".

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	5
Mode	“0”

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

Dep16

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".

RRS

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	41
Median	37
1st and 3rd quartiles	32; 43
Min. and max.	17; 71

Note that the following possible outlier values were detected: "17", "18", "71".

RRS_D

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	28
Median	21
1st and 3rd quartiles	17; 25
Min. and max.	10; 44

Note that the following possible outlier values were detected: "40", "44".

RRS_R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	18
Median	8
1st and 3rd quartiles	6; 10
Min. and max.	1; 21

Note that the following possible outlier values were detected: "18", "21".

RRS_B

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	16
Median	8
1st and 3rd quartiles	6; 10
Min. and max.	2; 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".

Sav4R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 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".

Sav8R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

Sav10R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 8

Sav12R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

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".

Sav20R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

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".

Sav24R

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

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".

Moment

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	17
Median	43
1st and 3rd quartiles	41; 45
Min. and max.	35; 51

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".

CritR

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

AnxR

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

ResR

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	4
1st and 3rd quartiles	3; 5
Min. and max.	1; 8

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

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

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

Extraversion

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	12
Median	4.5
1st and 3rd quartiles	3.5; 5
Min. and max.	1.5; 7

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	11
Median	4.5
1st and 3rd quartiles	3.5; 4.5
Min. and max.	2; 7

Note that the following possible outlier values were detected: "5", "5.5", "6", "6.5", "7".

Health

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	38
Median	31
1st and 3rd quartiles	26; 37
Min. and max.	12; 56

Note that the following possible outlier values were detected: "12".

Dep4R

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	“2”

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".

Dep12R

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”

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 09:46:12
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, file = "report_Facebook.Rmd", replace = TRUE)

Facebook

Autogenerated data summary from dataMaid - Example report

2018-04-16 09:46:10