Overview

Dataset statistics

Number of variables12
Number of observations34
Missing cells113
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory100.9 B

Variable types

Numeric1
Text8
DateTime2
Categorical1

Dataset

Description서울주택도시공사와 관련되어 있는 특허권들에 대한 정보들입니다. 특허명, 출원번호, 출원일자, 등록번호, 등록일자, 특허권자 등 관련 내용을 포함한 파일데이터 입니다.
URLhttps://www.data.go.kr/data/15118781/fileData.do

Alerts

특허권자6 has constant value ""Constant
등록번호 has 6 (17.6%) missing valuesMissing
등록일자 has 6 (17.6%) missing valuesMissing
특허권자2 has 3 (8.8%) missing valuesMissing
특허권자3 has 8 (23.5%) missing valuesMissing
특허권자4 has 26 (76.5%) missing valuesMissing
특허권자5 has 31 (91.2%) missing valuesMissing
특허권자6 has 33 (97.1%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:11:41.467165
Analysis finished2023-12-12 05:11:42.648228
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.205882
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T14:11:42.730569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median18.5
Q326.75
95-th percentile34.35
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.61668
Coefficient of variation (CV)0.58314561
Kurtosis-1.2072072
Mean18.205882
Median Absolute Deviation (MAD)9
Skewness0.036197383
Sum619
Variance112.7139
MonotonicityStrictly increasing
2023-12-12T14:11:42.900607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
28 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
29 1
 
2.9%
20 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
36 1
2.9%
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

특허명
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:11:43.246935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length31
Mean length24.382353
Min length3

Characters and Unicode

Total characters829
Distinct characters169
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st rowy형강판 띠 기둥 = y형 띠 기둥
2nd rowSF댐퍼
3rd row소음 및 충격음 저감용 완충재
4th row벽체 수직 분절형 에너지 소산 시스템
5th row코어형 양중장치 및 이를 이용한 양중방법
ValueCountFrequency (%)
이용한 14
 
6.9%
및 14
 
6.9%
시공방법 8
 
3.9%
그 6
 
2.9%
콘크리트 5
 
2.5%
이를 5
 
2.5%
무거푸집 5
 
2.5%
복합제진장치 4
 
2.0%
접합부 4
 
2.0%
점탄성과 4
 
2.0%
Other values (106) 135
66.2%
2023-12-12T14:11:43.882231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
20.5%
이 26
 
3.1%
용 23
 
2.8%
조 21
 
2.5%
한 17
 
2.1%
형 16
 
1.9%
구 16
 
1.9%
합 15
 
1.8%
및 14
 
1.7%
트 13
 
1.6%
Other values (159) 498
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
76.2%
Space Separator 170
 
20.5%
Lowercase Letter 12
 
1.4%
Uppercase Letter 11
 
1.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 26
 
4.1%
용 23
 
3.6%
조 21
 
3.3%
한 17
 
2.7%
형 16
 
2.5%
구 16
 
2.5%
합 15
 
2.4%
및 14
 
2.2%
트 13
 
2.1%
공 12
 
1.9%
Other values (137) 459
72.6%
Lowercase Letter
ValueCountFrequency (%)
y 2
16.7%
i 2
16.7%
o 2
16.7%
f 1
8.3%
m 1
8.3%
h 1
8.3%
p 1
8.3%
c 1
8.3%
e 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
T 3
27.3%
S 2
18.2%
Ｈ 1
 
9.1%
L 1
 
9.1%
C 1
 
9.1%
Ｍ 1
 
9.1%
Ｓ 1
 
9.1%
F 1
 
9.1%
Space Separator
ValueCountFrequency (%)
170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 632
76.2%
Common 174
 
21.0%
Latin 23
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 26
 
4.1%
용 23
 
3.6%
조 21
 
3.3%
한 17
 
2.7%
형 16
 
2.5%
구 16
 
2.5%
합 15
 
2.4%
및 14
 
2.2%
트 13
 
2.1%
공 12
 
1.9%
Other values (137) 459
72.6%
Latin
ValueCountFrequency (%)
T 3
13.0%
y 2
 
8.7%
i 2
 
8.7%
S 2
 
8.7%
o 2
 
8.7%
Ｈ 1
 
4.3%
f 1
 
4.3%
L 1
 
4.3%
m 1
 
4.3%
C 1
 
4.3%
Other values (7) 7
30.4%
Common
ValueCountFrequency (%)
170
97.7%
( 1
 
0.6%
) 1
 
0.6%
- 1
 
0.6%
= 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
76.1%
ASCII 194
 
23.4%
None 3
 
0.4%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
87.6%
T 3
 
1.5%
y 2
 
1.0%
i 2
 
1.0%
S 2
 
1.0%
o 2
 
1.0%
f 1
 
0.5%
L 1
 
0.5%
m 1
 
0.5%
( 1
 
0.5%
Other values (9) 9
 
4.6%
Hangul
ValueCountFrequency (%)
이 26
 
4.1%
용 23
 
3.6%
조 21
 
3.3%
한 17
 
2.7%
형 16
 
2.5%
구 16
 
2.5%
합 15
 
2.4%
및 14
 
2.2%
트 13
 
2.1%
공 12
 
1.9%
Other values (136) 458
72.6%
None
ValueCountFrequency (%)
Ｈ 1
33.3%
Ｍ 1
33.3%
Ｓ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

출원번호
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:11:44.116795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.911765
Min length12

Characters and Unicode

Total characters507
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

Unique32 ?
Unique (%)94.1%

Sample

1st row2004-0102058
2nd row10-2009-0022678
3rd row10-2006-0056970
4th row10-2013-0047584
5th row10-2011-0106579
ValueCountFrequency (%)
10-2007-0120909 2
 
5.9%
2004-0102058 1
 
2.9%
10-2009-0048558 1
 
2.9%
10-2015-0135851 1
 
2.9%
10-2015-0135850 1
 
2.9%
40-2017-0086161 1
 
2.9%
10-2011-0143820 1
 
2.9%
10-2010-0088400 1
 
2.9%
10-2008-0019209 1
 
2.9%
10-2008-0019186 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T14:11:44.490453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 165
32.5%
1 88
17.4%
- 67
13.2%
2 50
 
9.9%
8 29
 
5.7%
9 26
 
5.1%
5 24
 
4.7%
7 17
 
3.4%
6 16
 
3.2%
4 13
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
86.8%
Dash Punctuation 67
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 165
37.5%
1 88
20.0%
2 50
 
11.4%
8 29
 
6.6%
9 26
 
5.9%
5 24
 
5.5%
7 17
 
3.9%
6 16
 
3.6%
4 13
 
3.0%
3 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 165
32.5%
1 88
17.4%
- 67
13.2%
2 50
 
9.9%
8 29
 
5.7%
9 26
 
5.1%
5 24
 
4.7%
7 17
 
3.4%
6 16
 
3.2%
4 13
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 165
32.5%
1 88
17.4%
- 67
13.2%
2 50
 
9.9%
8 29
 
5.7%
9 26
 
5.1%
5 24
 
4.7%
7 17
 
3.4%
6 16
 
3.2%
4 13
 
2.6%

출원일자
Date

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2004-12-06 00:00:00
Maximum2017-07-11 00:00:00
2023-12-12T14:11:44.634635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:11:44.801862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

등록번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing6
Missing (%)17.6%
Memory size404.0 B
2023-12-12T14:11:45.056582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters280
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

Unique28 ?
Unique (%)100.0%

Sample

1st row10-0588393
2nd row10-0952232
3rd row10-0806728
4th row10-1329420
5th row10-1341699
ValueCountFrequency (%)
10-0952232 1
 
3.6%
10-0806728 1
 
3.6%
10-1171553 1
 
3.6%
10-1715510 1
 
3.6%
10-1745142 1
 
3.6%
40-1306791 1
 
3.6%
10-1319698 1
 
3.6%
10-1176551 1
 
3.6%
10-0949782 1
 
3.6%
10-0883798 1
 
3.6%
Other values (18) 18
64.3%
2023-12-12T14:11:45.503124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 60
21.4%
0 53
18.9%
- 28
10.0%
7 23
 
8.2%
2 22
 
7.9%
3 20
 
7.1%
9 19
 
6.8%
8 17
 
6.1%
5 14
 
5.0%
4 14
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
90.0%
Dash Punctuation 28
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 60
23.8%
0 53
21.0%
7 23
 
9.1%
2 22
 
8.7%
3 20
 
7.9%
9 19
 
7.5%
8 17
 
6.7%
5 14
 
5.6%
4 14
 
5.6%
6 10
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 60
21.4%
0 53
18.9%
- 28
10.0%
7 23
 
8.2%
2 22
 
7.9%
3 20
 
7.1%
9 19
 
6.8%
8 17
 
6.1%
5 14
 
5.0%
4 14
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 60
21.4%
0 53
18.9%
- 28
10.0%
7 23
 
8.2%
2 22
 
7.9%
3 20
 
7.1%
9 19
 
6.8%
8 17
 
6.1%
5 14
 
5.0%
4 14
 
5.0%

등록일자
Date

MISSING 

Distinct25
Distinct (%)89.3%
Missing6
Missing (%)17.6%
Memory size404.0 B
Minimum2006-06-02 00:00:00
Maximum2017-11-24 00:00:00
2023-12-12T14:11:45.649796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:11:45.774620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

특허권자1
Categorical

Distinct11
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
에스에이치공사
13 
한국석유공업 주식회사
4 
동일고무벨트주식회사
4 
서울주택도시공사
4 
대한주택공사
2 
Other values (6)
7 

Length

Max length12
Median length11
Mean length8.1470588
Min length3

Unique

Unique5 ?
Unique (%)14.7%

Sample

1st row에스에이치공사
2nd row에스에이치공사
3rd row한국석유공업 주식회사
4th row주식회사 디알비동일
5th row에스에이치공사

Common Values

ValueCountFrequency (%)
에스에이치공사 13
38.2%
한국석유공업 주식회사 4
 
11.8%
동일고무벨트주식회사 4
 
11.8%
서울주택도시공사 4
 
11.8%
대한주택공사 2
 
5.9%
쌍용건설 주식회사 2
 
5.9%
주식회사 디알비동일 1
 
2.9%
주식회사 티브이에스포럼 1
 
2.9%
노영곤 1
 
2.9%
(주)에스큐브 1
 
2.9%

Length

2023-12-12T14:11:45.968994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에스에이치공사 13
31.0%
주식회사 8
19.0%
한국석유공업 4
 
9.5%
동일고무벨트주식회사 4
 
9.5%
서울주택도시공사 4
 
9.5%
대한주택공사 2
 
4.8%
쌍용건설 2
 
4.8%
디알비동일 1
 
2.4%
티브이에스포럼 1
 
2.4%
노영곤 1
 
2.4%
Other values (2) 2
 
4.8%

특허권자2
Text

MISSING 

Distinct16
Distinct (%)51.6%
Missing3
Missing (%)8.8%
Memory size404.0 B
2023-12-12T14:11:46.176497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.483871
Min length6

Characters and Unicode

Total characters294
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)35.5%

Sample

1st row대한주택공사
2nd row주식회사 아이스트
3rd row에스에이치공사
4th row서울대학교산학협력단
5th row주식회사 디알비동일
ValueCountFrequency (%)
에스에이치공사 10
20.8%
주식회사 7
14.6%
씨 6
12.5%
피 3
 
6.2%
주)아이스트테크 3
 
6.2%
동서 3
 
6.2%
동일고무벨트주식회사 2
 
4.2%
아이스트 2
 
4.2%
주)엠씨에스공법 1
 
2.1%
산학협력단 1
 
2.1%
Other values (10) 10
20.8%
2023-12-12T14:11:46.609528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 22
 
7.5%
에 21
 
7.1%
주 19
 
6.5%
17
 
5.8%
이 16
 
5.4%
스 16
 
5.4%
공 12
 
4.1%
치 10
 
3.4%
식 9
 
3.1%
) 9
 
3.1%
Other values (60) 143
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
86.1%
Space Separator 17
 
5.8%
Close Punctuation 9
 
3.1%
Open Punctuation 9
 
3.1%
Other Punctuation 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 22
 
8.7%
에 21
 
8.3%
주 19
 
7.5%
이 16
 
6.3%
스 16
 
6.3%
공 12
 
4.7%
치 10
 
4.0%
식 9
 
3.6%
회 9
 
3.6%
트 7
 
2.8%
Other values (56) 112
44.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
86.1%
Common 41
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 22
 
8.7%
에 21
 
8.3%
주 19
 
7.5%
이 16
 
6.3%
스 16
 
6.3%
공 12
 
4.7%
치 10
 
4.0%
식 9
 
3.6%
회 9
 
3.6%
트 7
 
2.8%
Other values (56) 112
44.3%
Common
ValueCountFrequency (%)
17
41.5%
) 9
22.0%
( 9
22.0%
, 6
 
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
86.1%
ASCII 41
 
13.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 22
 
8.7%
에 21
 
8.3%
주 19
 
7.5%
이 16
 
6.3%
스 16
 
6.3%
공 12
 
4.7%
치 10
 
4.0%
식 9
 
3.6%
회 9
 
3.6%
트 7
 
2.8%
Other values (56) 112
44.3%
ASCII
ValueCountFrequency (%)
17
41.5%
) 9
22.0%
( 9
22.0%
, 6
 
14.6%

특허권자3
Text

MISSING 

Distinct13
Distinct (%)50.0%
Missing8
Missing (%)23.5%
Memory size404.0 B
2023-12-12T14:11:46.829358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.4615385
Min length7

Characters and Unicode

Total characters246
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)26.9%

Sample

1st row명화엔지니어링(주)
2nd row동일고무벨트 주식회사
3rd row서울시립대학교 산학협력단
4th row삼성물산 주식회사
5th row쌍용건설 주식회사
ValueCountFrequency (%)
주식회사 9
23.7%
에스에이치공사 4
10.5%
주)대우건설 4
10.5%
주)명화엔지니어링 4
10.5%
에스아이판 3
 
7.9%
산학협력단 3
 
7.9%
서울시립대학교 2
 
5.3%
명화엔지니어링 2
 
5.3%
명화엔지니어링(주 1
 
2.6%
동일고무벨트 1
 
2.6%
Other values (5) 5
13.2%
2023-12-12T14:11:47.557090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 19
 
7.7%
사 14
 
5.7%
12
 
4.9%
에 11
 
4.5%
회 10
 
4.1%
식 10
 
4.1%
( 9
 
3.7%
) 9
 
3.7%
이 8
 
3.3%
엔 7
 
2.8%
Other values (41) 137
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
87.8%
Space Separator 12
 
4.9%
Open Punctuation 9
 
3.7%
Close Punctuation 9
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
8.8%
사 14
 
6.5%
에 11
 
5.1%
회 10
 
4.6%
식 10
 
4.6%
이 8
 
3.7%
엔 7
 
3.2%
스 7
 
3.2%
링 7
 
3.2%
니 7
 
3.2%
Other values (38) 116
53.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
87.8%
Common 30
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
8.8%
사 14
 
6.5%
에 11
 
5.1%
회 10
 
4.6%
식 10
 
4.6%
이 8
 
3.7%
엔 7
 
3.2%
스 7
 
3.2%
링 7
 
3.2%
니 7
 
3.2%
Other values (38) 116
53.7%
Common
ValueCountFrequency (%)
12
40.0%
( 9
30.0%
) 9
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
87.8%
ASCII 30
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 19
 
8.8%
사 14
 
6.5%
에 11
 
5.1%
회 10
 
4.6%
식 10
 
4.6%
이 8
 
3.7%
엔 7
 
3.2%
스 7
 
3.2%
링 7
 
3.2%
니 7
 
3.2%
Other values (38) 116
53.7%
ASCII
ValueCountFrequency (%)
12
40.0%
( 9
30.0%
) 9
30.0%

특허권자4
Text

MISSING 

Distinct6
Distinct (%)75.0%
Missing26
Missing (%)76.5%
Memory size404.0 B
2023-12-12T14:11:47.747668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9
Min length7

Characters and Unicode

Total characters72
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)62.5%

Sample

1st row(주)센구조연구소
2nd row부산대학교 산학협력단
3rd row에스에이치공사
4th row(주)센구조연구소
5th row(주)센구조연구소
ValueCountFrequency (%)
주)센구조연구소 3
30.0%
부산대학교 1
 
10.0%
산학협력단 1
 
10.0%
에스에이치공사 1
 
10.0%
주)와이즈구조연구소 1
 
10.0%
주)윈하이텍 1
 
10.0%
쌍용건설 1
 
10.0%
주식회사 1
 
10.0%
2023-12-12T14:11:48.207878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 8
 
11.1%
주 6
 
8.3%
( 5
 
6.9%
) 5
 
6.9%
조 4
 
5.6%
연 4
 
5.6%
소 4
 
5.6%
센 3
 
4.2%
이 3
 
4.2%
2
 
2.8%
Other values (24) 28
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
83.3%
Open Punctuation 5
 
6.9%
Close Punctuation 5
 
6.9%
Space Separator 2
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8
 
13.3%
주 6
 
10.0%
조 4
 
6.7%
연 4
 
6.7%
소 4
 
6.7%
센 3
 
5.0%
이 3
 
5.0%
사 2
 
3.3%
에 2
 
3.3%
산 2
 
3.3%
Other values (21) 22
36.7%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
83.3%
Common 12
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8
 
13.3%
주 6
 
10.0%
조 4
 
6.7%
연 4
 
6.7%
소 4
 
6.7%
센 3
 
5.0%
이 3
 
5.0%
사 2
 
3.3%
에 2
 
3.3%
산 2
 
3.3%
Other values (21) 22
36.7%
Common
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
83.3%
ASCII 12
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 8
 
13.3%
주 6
 
10.0%
조 4
 
6.7%
연 4
 
6.7%
소 4
 
6.7%
센 3
 
5.0%
이 3
 
5.0%
사 2
 
3.3%
에 2
 
3.3%
산 2
 
3.3%
Other values (21) 22
36.7%
ASCII
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
2
 
16.7%

특허권자5
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing31
Missing (%)91.2%
Memory size404.0 B
2023-12-12T14:11:48.371903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.3333333
Min length9

Characters and Unicode

Total characters28
Distinct characters14
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

Unique3 ?
Unique (%)100.0%

Sample

1st row쌍용건설 주식회사
2nd row주식회사 포스코건설
3rd row두산건설 주식회사
ValueCountFrequency (%)
주식회사 3
50.0%
쌍용건설 1
 
16.7%
포스코건설 1
 
16.7%
두산건설 1
 
16.7%
2023-12-12T14:11:48.627314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 3
10.7%
설 3
10.7%
3
10.7%
주 3
10.7%
식 3
10.7%
회 3
10.7%
사 3
10.7%
쌍 1
 
3.6%
용 1
 
3.6%
포 1
 
3.6%
Other values (4) 4
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
89.3%
Space Separator 3
 
10.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 3
12.0%
설 3
12.0%
주 3
12.0%
식 3
12.0%
회 3
12.0%
사 3
12.0%
쌍 1
 
4.0%
용 1
 
4.0%
포 1
 
4.0%
스 1
 
4.0%
Other values (3) 3
12.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
89.3%
Common 3
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 3
12.0%
설 3
12.0%
주 3
12.0%
식 3
12.0%
회 3
12.0%
사 3
12.0%
쌍 1
 
4.0%
용 1
 
4.0%
포 1
 
4.0%
스 1
 
4.0%
Other values (3) 3
12.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
89.3%
ASCII 3
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 3
12.0%
설 3
12.0%
주 3
12.0%
식 3
12.0%
회 3
12.0%
사 3
12.0%
쌍 1
 
4.0%
용 1
 
4.0%
포 1
 
4.0%
스 1
 
4.0%
Other values (3) 3
12.0%
ASCII
ValueCountFrequency (%)
3
100.0%

특허권자6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2023-12-12T14:11:48.803404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters16
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row(주)엠씨에스에스티기술사사무소
ValueCountFrequency (%)
주)엠씨에스에스티기술사사무소 1
100.0%
2023-12-12T14:11:49.136113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
에 2
12.5%
스 2
12.5%
사 2
12.5%
( 1
 
6.2%
주 1
 
6.2%
) 1
 
6.2%
엠 1
 
6.2%
씨 1
 
6.2%
티 1
 
6.2%
기 1
 
6.2%
Other values (3) 3
18.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
87.5%
Open Punctuation 1
 
6.2%
Close Punctuation 1
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 2
14.3%
스 2
14.3%
사 2
14.3%
주 1
7.1%
엠 1
7.1%
씨 1
7.1%
티 1
7.1%
기 1
7.1%
술 1
7.1%
무 1
7.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
87.5%
Common 2
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 2
14.3%
스 2
14.3%
사 2
14.3%
주 1
7.1%
엠 1
7.1%
씨 1
7.1%
티 1
7.1%
기 1
7.1%
술 1
7.1%
무 1
7.1%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
87.5%
ASCII 2
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
에 2
14.3%
스 2
14.3%
사 2
14.3%
주 1
7.1%
엠 1
7.1%
씨 1
7.1%
티 1
7.1%
기 1
7.1%
술 1
7.1%
무 1
7.1%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Interactions

2023-12-12T14:11:42.004583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:11:49.243290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번특허명출원번호출원일자등록번호등록일자특허권자1특허권자2특허권자3특허권자4특허권자5
순번1.0000.9040.9040.9291.0000.8470.7460.7640.8640.0001.000
특허명0.9041.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
출원번호0.9041.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
출원일자0.9291.0001.0001.0001.0000.9601.0000.8251.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록일자0.8471.0001.0000.9601.0001.0001.0001.0000.9381.0001.000
특허권자10.7461.0001.0001.0001.0001.0001.0000.9210.9200.8711.000
특허권자20.7641.0001.0000.8251.0001.0000.9211.0000.8831.0001.000
특허권자30.8641.0001.0001.0001.0000.9380.9200.8831.0000.9541.000
특허권자40.0001.0001.0001.0001.0001.0000.8711.0000.9541.0001.000
특허권자51.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T14:11:49.372602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번특허권자1
순번1.0000.482
특허권자10.4821.000

Missing values

2023-12-12T14:11:42.143133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:11:42.386806image/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.
2023-12-12T14:11:42.547799image/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

순번특허명출원번호출원일자등록번호등록일자특허권자1특허권자2특허권자3특허권자4특허권자5특허권자6
01y형강판 띠 기둥 = y형 띠 기둥2004-01020582004-12-0610-05883932006-06-02에스에이치공사대한주택공사명화엔지니어링(주)(주)센구조연구소<NA><NA>
12SF댐퍼10-2009-00226782009-03-1710-09522322010-04-02에스에이치공사주식회사 아이스트동일고무벨트 주식회사부산대학교 산학협력단쌍용건설 주식회사<NA>
23소음 및 충격음 저감용 완충재10-2006-00569702006-06-2310-08067282008-02-18한국석유공업 주식회사에스에이치공사서울시립대학교 산학협력단<NA><NA><NA>
34벽체 수직 분절형 에너지 소산 시스템10-2013-00475842013-04-2910-13294202013-11-07주식회사 디알비동일서울대학교산학협력단삼성물산 주식회사에스에이치공사<NA><NA>
45코어형 양중장치 및 이를 이용한 양중방법10-2011-01065792011-10-1810-13416992013-12-09에스에이치공사주식회사 디알비동일쌍용건설 주식회사<NA><NA><NA>
56소음 차폐용 콘크리트 조성물 및 이를 이용한 소음저감용 구조물10-2007-00866572007-08-2810-08777252008-12-31한국석유공업 주식회사에스에이치공사서울시립대학교 산학협력단<NA><NA><NA>
67조립 철골 철근콘크리트기둥과 수평부재의 접합구조 및 이의 시공방법10-2005-01216172005-12-1210-06483762006-11-15대한주택공사에스에이치공사명화엔지니어링 주식회사(주)센구조연구소<NA><NA>
78강판을 ㄱ형강 내측에 접합한 콘크리트 충전용 박스형 조립기둥의 제작방법10-2005-00766252005-08-2210-06392932006-10-20대한주택공사에스에이치공사명화엔지니어링 주식회사(주)센구조연구소<NA><NA>
89헤디드 리브 피씨슬래브 및 그 시공방법10-2012-00789912012-07-1910-13037212013-08-29에스에이치공사동서 피, 씨, 씨 주식회사삼표이앤씨 주식회사(주)와이즈구조연구소주식회사 포스코건설(주)엠씨에스에스티기술사사무소
910층간 변형을 이용한 인방보형 이력댐퍼10-2010-00681562010-07-1410-11864482012-09-20쌍용건설 주식회사동일고무벨트주식회사에스에이치공사<NA><NA><NA>
순번특허명출원번호출원일자등록번호등록일자특허권자1특허권자2특허권자3특허권자4특허권자5특허권자6
2426무거푸집 공법을 이용한 구조물 시스템10-2008-00191022008-02-29<NA><NA>에스에이치공사고려대학교 산학협력단<NA><NA><NA><NA>
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