Overview

Dataset statistics

Number of variables12
Number of observations238
Missing cells7
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.4 KiB
Average record size in memory96.6 B

Variable types

Categorical5
Text3
Unsupported4

Dataset

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

Alerts

Unnamed: 8 is highly overall correlated with 서울교통공사 직무발명 현황 and 3 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with Unnamed: 7 and 1 other fieldsHigh correlation
Unnamed: 7 is highly overall correlated with 서울교통공사 직무발명 현황 and 3 other fieldsHigh correlation
서울교통공사 직무발명 현황 is highly overall correlated with Unnamed: 7 and 1 other fieldsHigh correlation
Unnamed: 10 is highly overall correlated with Unnamed: 7 and 1 other fieldsHigh correlation
서울교통공사 직무발명 현황 is highly imbalanced (95.1%)Imbalance
Unnamed: 7 is highly imbalanced (62.4%)Imbalance
Unnamed: 8 is highly imbalanced (55.9%)Imbalance
Unnamed: 10 is highly imbalanced (95.1%)Imbalance
Unnamed: 11 is highly imbalanced (95.1%)Imbalance
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 16:47:39.145941
Analysis finished2024-04-29 16:47:41.352809
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서울교통공사 직무발명 현황
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울교통공사
236 
<NA>
 
1
기관명
 
1

Length

Max length6
Median length6
Mean length5.9789916
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row기관명
3rd row서울교통공사
4th row서울교통공사
5th row서울교통공사

Common Values

ValueCountFrequency (%)
서울교통공사 236
99.2%
<NA> 1
 
0.4%
기관명 1
 
0.4%

Length

2024-04-30T01:47:41.416864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:47:41.502414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울교통공사 236
99.2%
na 1
 
0.4%
기관명 1
 
0.4%

Unnamed: 1
Text

Distinct237
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Memory size2.0 KiB
2024-04-30T01:47:42.064099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.5400844
Min length1

Characters and Unicode

Total characters602
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)100.0%

Sample

1st row연번
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
12 1
 
0.4%
148 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
Other values (227) 227
95.8%
2024-04-30T01:47:42.612911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 154
25.6%
2 91
15.1%
3 51
 
8.5%
4 44
 
7.3%
5 44
 
7.3%
6 44
 
7.3%
7 43
 
7.1%
8 43
 
7.1%
9 43
 
7.1%
0 43
 
7.1%
Other values (2) 2
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
99.7%
Other Letter 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 154
25.7%
2 91
15.2%
3 51
 
8.5%
4 44
 
7.3%
5 44
 
7.3%
6 44
 
7.3%
7 43
 
7.2%
8 43
 
7.2%
9 43
 
7.2%
0 43
 
7.2%
Other Letter
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
99.7%
Hangul 2
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 154
25.7%
2 91
15.2%
3 51
 
8.5%
4 44
 
7.3%
5 44
 
7.3%
6 44
 
7.3%
7 43
 
7.2%
8 43
 
7.2%
9 43
 
7.2%
0 43
 
7.2%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
99.7%
Hangul 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 154
25.7%
2 91
15.2%
3 51
 
8.5%
4 44
 
7.3%
5 44
 
7.3%
6 44
 
7.3%
7 43
 
7.2%
8 43
 
7.2%
9 43
 
7.2%
0 43
 
7.2%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Unnamed: 2
Text

Distinct234
Distinct (%)98.7%
Missing1
Missing (%)0.4%
Memory size2.0 KiB
2024-04-30T01:47:42.862649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length38
Mean length21.253165
Min length4

Characters and Unicode

Total characters5037
Distinct characters403
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

Unique231 ?
Unique (%)97.5%

Sample

1st row발명의명칭
2nd row레일의 체결구조
3rd row철도 레일 콘크리트도상 궤도구조 및 그 시공방법
4th rowRailroad Concrete Construction System And Method
5th row요금 지불 단말기를 이용한 정보전달 시스템 및 그 방법
ValueCountFrequency (%)
및 58
 
4.8%
시스템 40
 
3.3%
이용한 33
 
2.8%
방법 30
 
2.5%
장치 18
 
1.5%
전동차 16
 
1.3%
그 16
 
1.3%
콘크리트 10
 
0.8%
지하철 10
 
0.8%
이를 10
 
0.8%
Other values (718) 956
79.9%
2024-04-30T01:47:43.233309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
967
 
19.2%
스 121
 
2.4%
용 115
 
2.3%
이 112
 
2.2%
시 106
 
2.1%
장 96
 
1.9%
전 94
 
1.9%
차 90
 
1.8%
도 87
 
1.7%
치 86
 
1.7%
Other values (393) 3163
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3912
77.7%
Space Separator 969
 
19.2%
Uppercase Letter 73
 
1.4%
Lowercase Letter 37
 
0.7%
Open Punctuation 16
 
0.3%
Close Punctuation 16
 
0.3%
Other Punctuation 12
 
0.2%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 121
 
3.1%
용 115
 
2.9%
이 112
 
2.9%
시 106
 
2.7%
장 96
 
2.5%
전 94
 
2.4%
차 90
 
2.3%
도 87
 
2.2%
치 86
 
2.2%
기 76
 
1.9%
Other values (345) 2929
74.9%
Uppercase Letter
ValueCountFrequency (%)
D 9
 
12.3%
I 8
 
11.0%
S 6
 
8.2%
A 5
 
6.8%
C 5
 
6.8%
R 5
 
6.8%
P 4
 
5.5%
F 3
 
4.1%
T 3
 
4.1%
Ｓ 2
 
2.7%
Other values (16) 23
31.5%
Lowercase Letter
ValueCountFrequency (%)
t 5
13.5%
o 5
13.5%
e 4
10.8%
n 4
10.8%
r 3
8.1%
d 3
8.1%
a 2
 
5.4%
i 2
 
5.4%
c 2
 
5.4%
s 2
 
5.4%
Other values (5) 5
13.5%
Space Separator
ValueCountFrequency (%)
967
99.8%
  2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 6
50.0%
· 6
50.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3912
77.7%
Common 1015
 
20.2%
Latin 110
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 121
 
3.1%
용 115
 
2.9%
이 112
 
2.9%
시 106
 
2.7%
장 96
 
2.5%
전 94
 
2.4%
차 90
 
2.3%
도 87
 
2.2%
치 86
 
2.2%
기 76
 
1.9%
Other values (345) 2929
74.9%
Latin
ValueCountFrequency (%)
D 9
 
8.2%
I 8
 
7.3%
S 6
 
5.5%
A 5
 
4.5%
t 5
 
4.5%
C 5
 
4.5%
R 5
 
4.5%
o 5
 
4.5%
P 4
 
3.6%
e 4
 
3.6%
Other values (31) 54
49.1%
Common
ValueCountFrequency (%)
967
95.3%
( 16
 
1.6%
) 16
 
1.6%
, 6
 
0.6%
· 6
 
0.6%
2 2
 
0.2%
  2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3912
77.7%
ASCII 1102
 
21.9%
None 23
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
967
87.7%
( 16
 
1.5%
) 16
 
1.5%
D 9
 
0.8%
I 8
 
0.7%
, 6
 
0.5%
S 6
 
0.5%
A 5
 
0.5%
t 5
 
0.5%
C 5
 
0.5%
Other values (26) 59
 
5.4%
Hangul
ValueCountFrequency (%)
스 121
 
3.1%
용 115
 
2.9%
이 112
 
2.9%
시 106
 
2.7%
장 96
 
2.5%
전 94
 
2.4%
차 90
 
2.3%
도 87
 
2.2%
치 86
 
2.2%
기 76
 
1.9%
Other values (345) 2929
74.9%
None
ValueCountFrequency (%)
· 6
26.1%
Ｓ 2
 
8.7%
Ｔ 2
 
8.7%
Ａ 2
 
8.7%
  2
 
8.7%
Ｂ 2
 
8.7%
Ｍ 2
 
8.7%
Ｄ 1
 
4.3%
Ｐ 1
 
4.3%
Ｃ 1
 
4.3%
Other values (2) 2
 
8.7%

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 6
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 7
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
특허
192 
디자인
25 
실용신안
 
18
<NA>
 
1
발명구분
 
1

Length

Max length5
Median length2
Mean length2.2857143
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row발명구분
3rd row특허
4th row특허
5th row해외/특허

Common Values

ValueCountFrequency (%)
특허 192
80.7%
디자인 25
 
10.5%
실용신안 18
 
7.6%
<NA> 1
 
0.4%
발명구분 1
 
0.4%
해외/특허 1
 
0.4%

Length

2024-04-30T01:47:43.359421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:47:43.461636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특허 192
80.7%
디자인 25
 
10.5%
실용신안 18
 
7.6%
na 1
 
0.4%
발명구분 1
 
0.4%
해외/특허 1
 
0.4%

Unnamed: 8
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
(구)서울메트로
177 
(구)서울도시철도공사
59 
<NA>
 
1
특허권자(patentee)
 
1

Length

Max length14
Median length8
Mean length8.7521008
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row특허권자(patentee)
3rd row(구)서울메트로
4th row(구)서울메트로
5th row(구)서울메트로

Common Values

ValueCountFrequency (%)
(구)서울메트로 177
74.4%
(구)서울도시철도공사 59
 
24.8%
<NA> 1
 
0.4%
특허권자(patentee) 1
 
0.4%

Length

2024-04-30T01:47:43.581845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:47:43.684616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구)서울메트로 177
74.4%
구)서울도시철도공사 59
 
24.8%
na 1
 
0.4%
특허권자(patentee 1
 
0.4%

Unnamed: 9
Text

Distinct201
Distinct (%)84.8%
Missing1
Missing (%)0.4%
Memory size2.0 KiB
2024-04-30T01:47:43.873768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length54
Mean length14.949367
Min length2

Characters and Unicode

Total characters3543
Distinct characters182
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)74.7%

Sample

1st row발명자(inventor)
2nd row없음
3rd row김상진, 정성민
4th row김상진, 정성민
5th row최진수, 이수영, 윤석주
ValueCountFrequency (%)
송정훈 17
 
2.7%
없음 12
 
1.9%
김성렬 11
 
1.7%
정호형 10
 
1.6%
손영진 10
 
1.6%
김관수 8
 
1.3%
김효산 8
 
1.3%
고양옥 7
 
1.1%
여용주 7
 
1.1%
이기승 7
 
1.1%
Other values (322) 532
84.6%
2024-04-30T01:47:44.217237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
829
23.4%
, 430
 
12.1%
김 144
 
4.1%
정 99
 
2.8%
이 96
 
2.7%
영 83
 
2.3%
59
 
1.7%
수 54
 
1.5%
진 50
 
1.4%
박 49
 
1.4%
Other values (172) 1650
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2194
61.9%
Space Separator 829
 
23.4%
Other Punctuation 431
 
12.2%
Control 59
 
1.7%
Close Punctuation 9
 
0.3%
Open Punctuation 8
 
0.2%
Lowercase Letter 8
 
0.2%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 144
 
6.6%
정 99
 
4.5%
이 96
 
4.4%
영 83
 
3.8%
수 54
 
2.5%
진 50
 
2.3%
박 49
 
2.2%
호 48
 
2.2%
성 45
 
2.1%
종 43
 
2.0%
Other values (156) 1483
67.6%
Lowercase Letter
ValueCountFrequency (%)
n 2
25.0%
i 1
12.5%
v 1
12.5%
e 1
12.5%
t 1
12.5%
o 1
12.5%
r 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
6 1
 
20.0%
7 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 430
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
829
100.0%
Control
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2194
61.9%
Common 1341
37.8%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 144
 
6.6%
정 99
 
4.5%
이 96
 
4.4%
영 83
 
3.8%
수 54
 
2.5%
진 50
 
2.3%
박 49
 
2.2%
호 48
 
2.2%
성 45
 
2.1%
종 43
 
2.0%
Other values (156) 1483
67.6%
Common
ValueCountFrequency (%)
829
61.8%
, 430
32.1%
59
 
4.4%
) 9
 
0.7%
( 8
 
0.6%
3 3
 
0.2%
6 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
n 2
25.0%
i 1
12.5%
v 1
12.5%
e 1
12.5%
t 1
12.5%
o 1
12.5%
r 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2194
61.9%
ASCII 1349
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
829
61.5%
, 430
31.9%
59
 
4.4%
) 9
 
0.7%
( 8
 
0.6%
3 3
 
0.2%
n 2
 
0.1%
6 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%
Other values (6) 6
 
0.4%
Hangul
ValueCountFrequency (%)
김 144
 
6.6%
정 99
 
4.5%
이 96
 
4.4%
영 83
 
3.8%
수 54
 
2.5%
진 50
 
2.3%
박 49
 
2.2%
호 48
 
2.2%
성 45
 
2.1%
종 43
 
2.0%
Other values (156) 1483
67.6%

Unnamed: 10
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
정경덕
236 
(기준일자: 2017. 5. 31 현재)
 
1
직무발명 담당자
 
1

Length

Max length22
Median length3
Mean length3.1008403
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row(기준일자: 2017. 5. 31 현재)
2nd row직무발명 담당자
3rd row정경덕
4th row정경덕
5th row정경덕

Common Values

ValueCountFrequency (%)
정경덕 236
99.2%
(기준일자: 2017. 5. 31 현재) 1
 
0.4%
직무발명 담당자 1
 
0.4%

Length

2024-04-30T01:47:44.350836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:47:44.455507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정경덕 236
97.1%
기준일자 1
 
0.4%
2017 1
 
0.4%
5 1
 
0.4%
31 1
 
0.4%
현재 1
 
0.4%
직무발명 1
 
0.4%
담당자 1
 
0.4%

Unnamed: 11
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
02-6110-8139
236 
<NA>
 
1
전화번호
 
1

Length

Max length12
Median length12
Mean length11.932773
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row전화번호
3rd row02-6110-8139
4th row02-6110-8139
5th row02-6110-8139

Common Values

ValueCountFrequency (%)
02-6110-8139 236
99.2%
<NA> 1
 
0.4%
전화번호 1
 
0.4%

Length

2024-04-30T01:47:44.573593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:47:44.686586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-6110-8139 236
99.2%
na 1
 
0.4%
전화번호 1
 
0.4%

Correlations

2024-04-30T01:47:44.752738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서울교통공사 직무발명 현황Unnamed: 7Unnamed: 8Unnamed: 10Unnamed: 11
서울교통공사 직무발명 현황1.0001.0001.0000.7010.701
Unnamed: 71.0001.0000.7261.0001.000
Unnamed: 81.0000.7261.0001.0001.000
Unnamed: 100.7011.0001.0001.0000.701
Unnamed: 110.7011.0001.0000.7011.000
2024-04-30T01:47:44.869210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 8Unnamed: 11Unnamed: 7서울교통공사 직무발명 현황Unnamed: 10
Unnamed: 81.0000.9980.7150.9980.998
Unnamed: 110.9981.0000.9940.4950.495
Unnamed: 70.7150.9941.0000.9940.994
서울교통공사 직무발명 현황0.9980.4950.9941.0000.495
Unnamed: 100.9980.4950.9940.4951.000
2024-04-30T01:47:44.970223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서울교통공사 직무발명 현황Unnamed: 7Unnamed: 8Unnamed: 10Unnamed: 11
서울교통공사 직무발명 현황1.0000.9940.9980.4950.495
Unnamed: 70.9941.0000.7150.9940.994
Unnamed: 80.9980.7151.0000.9980.998
Unnamed: 100.4950.9940.9981.0000.495
Unnamed: 110.4950.9940.9980.4951.000

Missing values

2024-04-30T01:47:40.904104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T01:47:41.076704image/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.
2024-04-30T01:47:41.241207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

서울교통공사 직무발명 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
0<NA><NA><NA>NaNNaNNaNNaN<NA><NA><NA>(기준일자: 2017. 5. 31 현재)<NA>
1기관명연번발명의명칭등록번호\n(patent number)등록일자출원번호출원일자발명구분특허권자(patentee)발명자(inventor)직무발명 담당자전화번호
2서울교통공사1레일의 체결구조10-0474255-00-002005-02-22 00:00:0010-2002-00206482002-04-16 00:00:00특허(구)서울메트로없음정경덕02-6110-8139
3서울교통공사2철도 레일 콘크리트도상 궤도구조 및 그 시공방법10-0595429-00-002006-06-23 00:00:0010-2004-00122052004-02-24 00:00:00특허(구)서울메트로김상진, 정성민정경덕02-6110-8139
4서울교통공사3Railroad Concrete Construction System And Method15688212008-03-19 00:00:0050013142005-01-24 00:00:00해외/특허(구)서울메트로김상진, 정성민정경덕02-6110-8139
5서울교통공사4요금 지불 단말기를 이용한 정보전달 시스템 및 그 방법10-0679606-00-002007-01-31 00:00:0010-2005-00315872005-04-15 00:00:00특허(구)서울메트로최진수, 이수영, 윤석주정경덕02-6110-8139
6서울교통공사5전동차 팬터그래프 집전마찰판 및 그 제조방법10-0733069-00-002007-06-21 00:00:0010-2005-00457922005-05-30 00:00:00특허(구)서울메트로조석현, 손영진, 김영규정경덕02-6110-8139
7서울교통공사6교량의 신축이음장치10-0644143-00-002006-11-02 00:00:0010-2005-00870542005-09-16 00:00:00특허(구)서울메트로홍종헌정경덕02-6110-8139
8서울교통공사7ATS 차상장치 오동작 방지시스템과 그를 이용한 방법10-0700199-00-002007-03-20 00:00:0010-2005-01045412005-11-02 00:00:00특허(구)서울메트로김선동, 박건원정경덕02-6110-8139
9서울교통공사8지하철 게이트 장치 및 그 제어 방법10-0790520-00-002007-12-24 00:00:0010-2006-00404062006-05-04 00:00:00특허(구)서울메트로윤석주, 김찬겸, 박광환정경덕02-6110-8139
서울교통공사 직무발명 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
228서울교통공사227전동차 운전실 데스크30-0623811-00002011-11-30 00:00:0030-2010-00176972010-04-21 00:00:00디자인(구)서울도시철도공사김성준, 이상승정경덕02-6110-8139
229서울교통공사228지하철 고객안내용 부스30-0651117-00002012-07-02 00:00:0030-2010-00212442010-05-13 00:00:00디자인(구)서울도시철도공사이달님정경덕02-6110-8139
230서울교통공사229지하철 고객안내 부스30-0651118-00002012-07-02 00:00:0030-2010-00212462010-05-13 00:00:00디자인(구)서울도시철도공사이달님정경덕02-6110-8139
231서울교통공사230지하철 고객안내 부스30-0651119-00002012-07-02 00:00:0030-2010-00212472010-05-13 00:00:00디자인(구)서울도시철도공사이달님정경덕02-6110-8139
232서울교통공사231철도차량의 대차 서포트 브라켓30-0644533-00002012-05-14 00:00:0030-2011-00038922011-01-28 00:00:00디자인(구)서울도시철도공사신익현, 김성준정경덕02-6110-8139
233서울교통공사232철도차량용 대차견인구(철도차량의 볼스타레스 대차 견인장치)30-0655271-00002012-08-02 00:00:0030-2011-00038932011-01-28 00:00:00디자인(구)서울도시철도공사김성명, 정정옥정경덕02-6110-8139
234서울교통공사233열차 객석용 의자(전동차 중앙배치 객실의자)30-0659713-00002012-09-10 00:00:0030-2011-00035202011-02-27 00:00:00디자인(구)서울도시철도공사신민규정경덕02-6110-8139
235서울교통공사234신문지 수거함30-0678004-00002013-01-18 00:00:0030-2011-00557042011-12-28 00:00:00디자인(구)서울도시철도공사이용석정경덕02-6110-8139
236서울교통공사235신문지 수거함30-0678005-00002013-01-18 00:00:0030-2011-00557052011-12-28 00:00:00디자인(구)서울도시철도공사이용석정경덕02-6110-8139
237서울교통공사236역사용 수전 점검 도어30-0905421-00002017-04-27 00:00:0030-2016-00347762016-07-15 00:00:00디자인(구)서울도시철도공사한상철, 강창길정경덕02-6110-8139