Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory51.3 B

Variable types

Categorical5
Numeric1

Alerts

stats_rm_cn is highly overall correlated with stats_ymHigh correlation
stats_ym is highly overall correlated with stats_rm_cnHigh correlation
cnslt_cn_value is highly overall correlated with rank_nm and 1 other fieldsHigh correlation
rank_nm is highly overall correlated with cnslt_cn_value and 1 other fieldsHigh correlation
cnslt_cn is highly overall correlated with cnslt_cn_value and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-10 09:57:58.119752
Analysis finished2023-12-10 09:57:59.549428
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

stats_ym
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
201911
44 
201912
41 
201910
12 
201705
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201912
2nd row201705
3rd row201912
4th row201912
5th row201912

Common Values

ValueCountFrequency (%)
201911 44
44.0%
201912 41
41.0%
201910 12
 
12.0%
201705 3
 
3.0%

Length

2023-12-10T18:57:59.744512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:00.007260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201911 44
44.0%
201912 41
41.0%
201910 12
 
12.0%
201705 3
 
3.0%

stats_rm_cn
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019년1월1일~11월30일
44 
2019년1월1일~12월31일
41 
2019년1월1일~10월31일
12 
2017년1월1일~5월29일
 
3

Length

Max length16
Median length16
Mean length15.97
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019년1월1일~12월31일
2nd row2017년1월1일~5월29일
3rd row2019년1월1일~12월31일
4th row2019년1월1일~12월31일
5th row2019년1월1일~12월31일

Common Values

ValueCountFrequency (%)
2019년1월1일~11월30일 44
44.0%
2019년1월1일~12월31일 41
41.0%
2019년1월1일~10월31일 12
 
12.0%
2017년1월1일~5월29일 3
 
3.0%

Length

2023-12-10T18:58:00.348088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:00.606535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019년1월1일~11월30일 44
44.0%
2019년1월1일~12월31일 41
41.0%
2019년1월1일~10월31일 12
 
12.0%
2017년1월1일~5월29일 3
 
3.0%

acdmcr_ty_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
초등학교
31 
고등학교
24 
중학교
23 
대학교
22 

Length

Max length4
Median length4
Mean length3.55
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초등학교
2nd row고등학교
3rd row초등학교
4th row초등학교
5th row초등학교

Common Values

ValueCountFrequency (%)
초등학교 31
31.0%
고등학교 24
24.0%
중학교 23
23.0%
대학교 22
22.0%

Length

2023-12-10T18:58:00.867637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:58:01.085699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 31
31.0%
고등학교 24
24.0%
중학교 23
23.0%
대학교 22
22.0%

rank_nm
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1위
10 
9위
10 
11위
10 
3위
9 
4위
9 
Other values (6)
52 

Length

Max length3
Median length2
Mean length2.19
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1위
2nd row9위
3rd row3위
4th row4위
5th row5위

Common Values

ValueCountFrequency (%)
1위 10
10.0%
9위 10
10.0%
11위 10
10.0%
3위 9
9.0%
4위 9
9.0%
5위 9
9.0%
6위 9
9.0%
7위 9
9.0%
10위 9
9.0%
2위 8
8.0%

Length

2023-12-10T18:58:01.402259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1위 10
10.0%
9위 10
10.0%
11위 10
10.0%
3위 9
9.0%
4위 9
9.0%
5위 9
9.0%
6위 9
9.0%
7위 9
9.0%
10위 9
9.0%
2위 8
8.0%

cnslt_cn
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대인관계
10 
성
10 
성격
10 
정신건강
10 
학업
9 
Other values (7)
51 

Length

Max length8
Median length7
Mean length3.63
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row대인관계
2nd row성
3rd row학업
4th row가족
5th row생활습관/외모

Common Values

ValueCountFrequency (%)
대인관계 10
10.0%
성 10
10.0%
성격 10
10.0%
정신건강 10
10.0%
학업 9
9.0%
가족 9
9.0%
생활습관/외모 9
9.0%
인터넷/스마트폰 9
9.0%
기타 8
8.0%
진로 8
8.0%
Other values (2) 8
8.0%

Length

2023-12-10T18:58:01.685998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대인관계 10
8.8%
성 10
8.8%
성격 10
8.8%
정신건강 10
8.8%
학업 9
7.9%
가족 9
7.9%
생활습관/외모 9
7.9%
인터넷/스마트폰 9
7.9%
기타 8
 
7.0%
진로 8
 
7.0%
Other values (4) 22
19.3%

cnslt_cn_value
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.27
Minimum0
Maximum46.2
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:58:01.988240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.25
median3.65
Q314.8
95-th percentile36.175
Maximum46.2
Range46.2
Interquartile range (IQR)13.55

Descriptive statistics

Standard deviation11.912802
Coefficient of variation (CV)1.2850919
Kurtosis2.1717596
Mean9.27
Median Absolute Deviation (MAD)3.15
Skewness1.6956763
Sum927
Variance141.91485
MonotonicityNot monotonic
2023-12-10T18:58:02.397247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.4 4
 
4.0%
3.0 4
 
4.0%
2.8 4
 
4.0%
2.4 4
 
4.0%
4.1 4
 
4.0%
0.7 4
 
4.0%
0.3 4
 
4.0%
1.1 3
 
3.0%
14.3 2
 
2.0%
7.4 2
 
2.0%
Other values (39) 65
65.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
2.0%
0.3 4
4.0%
0.4 4
4.0%
0.5 2
2.0%
0.6 2
2.0%
0.7 4
4.0%
0.8 1
 
1.0%
0.9 1
 
1.0%
1.0 1
 
1.0%
ValueCountFrequency (%)
46.2 2
2.0%
45.3 1
1.0%
43.3 2
2.0%
35.8 1
1.0%
32.4 2
2.0%
27.9 2
2.0%
24.8 1
1.0%
24.0 2
2.0%
21.8 1
1.0%
21.3 2
2.0%

Interactions

2023-12-10T18:57:58.915100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:58:02.589262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
stats_ymstats_rm_cnacdmcr_ty_nmrank_nmcnslt_cncnslt_cn_value
stats_ym1.0001.0000.6250.0000.0000.000
stats_rm_cn1.0001.0000.6250.0000.0000.000
acdmcr_ty_nm0.6250.6251.0000.0000.0000.297
rank_nm0.0000.0000.0001.0000.8740.806
cnslt_cn0.0000.0000.0000.8741.0000.811
cnslt_cn_value0.0000.0000.2970.8060.8111.000
2023-12-10T18:58:02.862699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
rank_nmacdmcr_ty_nmstats_rm_cnstats_ymcnslt_cn
rank_nm1.0000.0000.0000.0000.594
acdmcr_ty_nm0.0001.0000.2860.2860.000
stats_rm_cn0.0000.2861.0001.0000.000
stats_ym0.0000.2861.0001.0000.000
cnslt_cn0.5940.0000.0000.0001.000
2023-12-10T18:58:03.120344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cnslt_cn_valuestats_ymstats_rm_cnacdmcr_ty_nmrank_nmcnslt_cn
cnslt_cn_value1.0000.0000.0000.1870.5320.506
stats_ym0.0001.0001.0000.2860.0000.000
stats_rm_cn0.0001.0001.0000.2860.0000.000
acdmcr_ty_nm0.1870.2860.2861.0000.0000.000
rank_nm0.5320.0000.0000.0001.0000.594
cnslt_cn0.5060.0000.0000.0000.5941.000

Missing values

2023-12-10T18:57:59.182934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:57:59.447301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

stats_ymstats_rm_cnacdmcr_ty_nmrank_nmcnslt_cncnslt_cn_value
02019122019년1월1일~12월31일초등학교1위대인관계46.2
12017052017년1월1일~5월29일고등학교9위성2.4
22019122019년1월1일~12월31일초등학교3위학업17.4
32019122019년1월1일~12월31일초등학교4위가족7.9
42019122019년1월1일~12월31일초등학교5위생활습관/외모2.8
52019122019년1월1일~12월31일초등학교6위성격1.7
62019122019년1월1일~12월31일초등학교7위인터넷/스마트폰1.5
72017052017년1월1일~5월29일고등학교10위성격1.0
82019122019년1월1일~12월31일초등학교9위정신건강0.7
92019122019년1월1일~12월31일초등학교10위성0.3
stats_ymstats_rm_cnacdmcr_ty_nmrank_nmcnslt_cncnslt_cn_value
902019102019년1월1일~10월31일초등학교3위기타21.8
912019102019년1월1일~10월31일초등학교4위가족9.4
922019102019년1월1일~10월31일초등학교5위생활습관/외모2.4
932019102019년1월1일~10월31일초등학교6위성격2.7
942019102019년1월1일~10월31일초등학교7위인터넷/스마트폰1.3
952019102019년1월1일~10월31일초등학교8위진로1.1
962019102019년1월1일~10월31일초등학교9위정신건강0.8
972019102019년1월1일~10월31일초등학교10위성0.3
982019102019년1월1일~10월31일초등학교11위-0.0
992019102019년1월1일~10월31일중학교1위대인관계45.3