Data report overview
The dataset examined has the following dimensions:
Number of observations |
257 |
Number of variables |
149 |
- Only variables that were deemed potentially problematic are included in this summary.
Variable list
ID
- The variable is a key (distinct values for each observation).
Rum22
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 |
ConvR
- Note that this variable is treated as a factor variable below, as it only takes a few unique values.
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
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
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
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
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.
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
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)