Overview

Dataset statistics

Number of variables5
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-13235/F/1/datasetView.do

Alerts

연번 is highly overall correlated with 권리High correlation
권리 is highly overall correlated with 연번High correlation
권리 is highly imbalanced (52.9%)Imbalance
연번 has unique valuesUnique
발명의 명칭 has unique valuesUnique

Reproduction

Analysis started2024-04-29 16:47:45.957916
Analysis finished2024-04-29 16:47:46.605340
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T01:47:46.677114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.35
Q137.75
median74.5
Q3111.25
95-th percentile140.65
Maximum148
Range147
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation42.868014
Coefficient of variation (CV)0.57540959
Kurtosis-1.2
Mean74.5
Median Absolute Deviation (MAD)37
Skewness0
Sum11026
Variance1837.6667
MonotonicityStrictly increasing
2024-04-30T01:47:46.799590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (138) 138
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%

권리
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
특허
119 
실용신안
16 
디자인
12 
해외특허
 
1

Length

Max length4
Median length2
Mean length2.3108108
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row특허
2nd row특허
3rd row특허
4th row특허
5th row특허

Common Values

ValueCountFrequency (%)
특허 119
80.4%
실용신안 16
 
10.8%
디자인 12
 
8.1%
해외특허 1
 
0.7%

Length

2024-04-30T01:47:46.936721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:47:47.102689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특허 119
80.4%
실용신안 16
 
10.8%
디자인 12
 
8.1%
해외특허 1
 
0.7%

발명의 명칭
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T01:47:47.489480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length40.5
Mean length21.554054
Min length4

Characters and Unicode

Total characters3190
Distinct characters344
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)100.0%

Sample

1st row레일의 체결구조
2nd row철도 레일 콘크리트도상 궤도구조 및 그 시공방법
3rd row교량의 신축이음장치
4th row공기조화기의 냉수코일 분리구조
5th row요금 지불 단말기를 이용한 정보전달 시스템 및 그 방법
ValueCountFrequency (%)
34
 
4.6%
이용한 21
 
2.8%
시스템 21
 
2.8%
방법 20
 
2.7%
장치 12
 
1.6%
12
 
1.6%
전동차 10
 
1.4%
콘크리트 7
 
0.9%
열차 5
 
0.7%
이를 5
 
0.7%
Other values (495) 593
80.1%
2024-04-30T01:47:47.973815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
592
 
18.6%
73
 
2.3%
71
 
2.2%
64
 
2.0%
63
 
2.0%
61
 
1.9%
55
 
1.7%
52
 
1.6%
48
 
1.5%
47
 
1.5%
Other values (334) 2064
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2419
75.8%
Space Separator 592
 
18.6%
Lowercase Letter 88
 
2.8%
Uppercase Letter 58
 
1.8%
Close Punctuation 10
 
0.3%
Open Punctuation 10
 
0.3%
Decimal Number 7
 
0.2%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
3.0%
71
 
2.9%
64
 
2.6%
63
 
2.6%
61
 
2.5%
55
 
2.3%
52
 
2.1%
48
 
2.0%
47
 
1.9%
45
 
1.9%
Other values (292) 1840
76.1%
Lowercase Letter
ValueCountFrequency (%)
t 12
13.6%
i 8
9.1%
o 8
9.1%
a 7
 
8.0%
e 7
 
8.0%
s 6
 
6.8%
n 6
 
6.8%
l 6
 
6.8%
r 6
 
6.8%
p 4
 
4.5%
Other values (7) 18
20.5%
Uppercase Letter
ValueCountFrequency (%)
A 9
15.5%
D 7
12.1%
S 6
10.3%
C 6
10.3%
I 5
8.6%
U 4
6.9%
T 4
6.9%
B 3
 
5.2%
M 3
 
5.2%
R 3
 
5.2%
Other values (6) 8
13.8%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
· 2
33.3%
/ 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 3
42.9%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
592
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2419
75.8%
Common 625
 
19.6%
Latin 146
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
3.0%
71
 
2.9%
64
 
2.6%
63
 
2.6%
61
 
2.5%
55
 
2.3%
52
 
2.1%
48
 
2.0%
47
 
1.9%
45
 
1.9%
Other values (292) 1840
76.1%
Latin
ValueCountFrequency (%)
t 12
 
8.2%
A 9
 
6.2%
i 8
 
5.5%
o 8
 
5.5%
a 7
 
4.8%
D 7
 
4.8%
e 7
 
4.8%
S 6
 
4.1%
s 6
 
4.1%
n 6
 
4.1%
Other values (23) 70
47.9%
Common
ValueCountFrequency (%)
592
94.7%
) 10
 
1.6%
( 10
 
1.6%
. 3
 
0.5%
2 3
 
0.5%
1 3
 
0.5%
· 2
 
0.3%
/ 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2419
75.8%
ASCII 769
 
24.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
592
77.0%
t 12
 
1.6%
) 10
 
1.3%
( 10
 
1.3%
A 9
 
1.2%
i 8
 
1.0%
o 8
 
1.0%
a 7
 
0.9%
D 7
 
0.9%
e 7
 
0.9%
Other values (31) 99
 
12.9%
Hangul
ValueCountFrequency (%)
73
 
3.0%
71
 
2.9%
64
 
2.6%
63
 
2.6%
61
 
2.5%
55
 
2.3%
52
 
2.1%
48
 
2.0%
47
 
1.9%
45
 
1.9%
Other values (292) 1840
76.1%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct145
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T01:47:48.234361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9797297
Min length7

Characters and Unicode

Total characters1477
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)95.9%

Sample

1st row10-0474255
2nd row10-0595429
3rd row10-0644143
4th row10-0647817
5th row10-0679606
ValueCountFrequency (%)
30-0622123 2
 
1.4%
30-0541567 2
 
1.4%
10-1228919 2
 
1.4%
30-0678201 1
 
0.7%
10-1340442 1
 
0.7%
10-1355071 1
 
0.7%
10-0474255 1
 
0.7%
10-1367600 1
 
0.7%
10-1321806 1
 
0.7%
10-1337865 1
 
0.7%
Other values (135) 135
91.2%
2024-04-30T01:47:48.624125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 323
21.9%
1 296
20.0%
- 147
10.0%
2 112
 
7.6%
4 102
 
6.9%
7 96
 
6.5%
3 91
 
6.2%
9 82
 
5.6%
6 79
 
5.3%
8 78
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1330
90.0%
Dash Punctuation 147
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 323
24.3%
1 296
22.3%
2 112
 
8.4%
4 102
 
7.7%
7 96
 
7.2%
3 91
 
6.8%
9 82
 
6.2%
6 79
 
5.9%
8 78
 
5.9%
5 71
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1477
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 323
21.9%
1 296
20.0%
- 147
10.0%
2 112
 
7.6%
4 102
 
6.9%
7 96
 
6.5%
3 91
 
6.2%
9 82
 
5.6%
6 79
 
5.3%
8 78
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1477
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 323
21.9%
1 296
20.0%
- 147
10.0%
2 112
 
7.6%
4 102
 
6.9%
7 96
 
6.5%
3 91
 
6.2%
9 82
 
5.6%
6 79
 
5.3%
8 78
 
5.3%
Distinct135
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2005-02-22 00:00:00
Maximum2015-03-02 00:00:00
2024-04-30T01:47:48.748965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:47:48.865064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-30T01:47:46.389269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T01:47:48.954830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번권리
연번1.0000.855
권리0.8551.000
2024-04-30T01:47:49.053577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번권리
연번1.0000.691
권리0.6911.000

Missing values

2024-04-30T01:47:46.498203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T01:47:46.574139image/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

연번권리발명의 명칭등록번호등록일자
01특허레일의 체결구조10-04742552005.02.22
12특허철도 레일 콘크리트도상 궤도구조 및 그 시공방법10-05954292006.06.23
23특허교량의 신축이음장치10-06441432006.11.02
34특허공기조화기의 냉수코일 분리구조10-06478172006.11.13
45특허요금 지불 단말기를 이용한 정보전달 시스템 및 그 방법10-06796062007.01.31
56특허전동차 팬터그래프 집전마찰판 및 그 제조방법10-07330692007.06.21
67특허지하철 역사 양방향 비상 게이트10-07566412007.09.03
78특허고인장섬유를 이용한 고압 주입 방식의 콘크리트 균열 보수방법10-07677362007.10.10
89해외특허Railroad Concrete Construction System And Method15688212008.03.19
910특허ATS 차상장치 오동작 방지시스템과 그를 이용한 방법10-07001992007.03.20
연번권리발명의 명칭등록번호등록일자
138139디자인급전선용 스페이서30-05273352009.04.22
139140디자인슬림형자동집개표기30-05251602009.03.31
140141디자인화상디자인이 표시된 컴퓨터 모니터(1)30-05415672009.09.28
141142디자인화상디자인이 표시된 컴퓨터 모니터(2)30-05415672009.09.28
142143디자인철도 콘크리트 도상 배치용 흡음판(1)30-06221232011.11.16
143144디자인철도 콘크리트 도상 배치용 흡음판(2)30-06221232011.11.16
144145디자인철도 콘크리트 도상 배치용 흡음판(3)30-06221412011.11.16
145146디자인전차선용 절연유닛30-06782012013.01.21
146147디자인전동차의 전원공급선용 고정구30-06901472013.05.14
147148디자인전차선용 절연 구분기구30-06901482013.05.15