Overview

Dataset statistics

Number of variables6
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory50.4 B

Variable types

Text3
Categorical1
DateTime2

Dataset

Description한국국토정보공사에서 보유하고 있는 지식재산권(특허)의 현황 데이타 입니다. 출원번호, 발명의 명칭, 상태, 출원일자, 등록번호, 등록일자를 포함하고 있습니다.
Author한국국토정보공사
URLhttps://www.data.go.kr/data/15021031/fileData.do

Alerts

상태 has constant value ""Constant
출원번호 has unique valuesUnique
발명의명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:43:57.097141
Analysis finished2023-12-12 11:43:58.635263
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출원번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T20:43:58.834977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters840
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

Unique56 ?
Unique (%)100.0%

Sample

1st row10-1998-0056425
2nd row10-2004-0041703
3rd row10-2004-0041706
4th row10-2004-0041702
5th row10-2006-0072429
ValueCountFrequency (%)
10-1998-0056425 1
 
1.8%
10-2004-0041703 1
 
1.8%
10-2019-0174858 1
 
1.8%
10-2018-0171737 1
 
1.8%
10-2020-0051655 1
 
1.8%
10-2019-0174830 1
 
1.8%
10-2019-0174828 1
 
1.8%
10-2019-0174851 1
 
1.8%
10-2018-0173757 1
 
1.8%
10-2019-0150155 1
 
1.8%
Other values (46) 46
82.1%
2023-12-12T20:43:59.362134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 249
29.6%
1 149
17.7%
- 112
13.3%
2 103
12.3%
9 37
 
4.4%
5 35
 
4.2%
7 34
 
4.0%
3 33
 
3.9%
6 31
 
3.7%
8 30
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 728
86.7%
Dash Punctuation 112
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 249
34.2%
1 149
20.5%
2 103
14.1%
9 37
 
5.1%
5 35
 
4.8%
7 34
 
4.7%
3 33
 
4.5%
6 31
 
4.3%
8 30
 
4.1%
4 27
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 249
29.6%
1 149
17.7%
- 112
13.3%
2 103
12.3%
9 37
 
4.4%
5 35
 
4.2%
7 34
 
4.0%
3 33
 
3.9%
6 31
 
3.7%
8 30
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 249
29.6%
1 149
17.7%
- 112
13.3%
2 103
12.3%
9 37
 
4.4%
5 35
 
4.2%
7 34
 
4.0%
3 33
 
3.9%
6 31
 
3.7%
8 30
 
3.6%

발명의명칭
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T20:43:59.916754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length138
Median length56
Mean length41.464286
Min length5

Characters and Unicode

Total characters2322
Distinct characters245
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

Unique56 ?
Unique (%)100.0%

Sample

1st row측량장비용삼각대(THREE LEGGED SUPPORTER FOR SURVEYING INSTRUMENT)
2nd row측량 기준점 표지구를 이용한 측량 표지관리 시스템(Survey Indicator Management System using Survey Control Point Indicator Device)
3rd row무선 인터넷을 이용한 디지피에스 시스템(DGPS System Using CDMA Wireless Internet)
4th row음성인식 측량 시스템(Survey System Using Voice Recognition Module)
5th rowGPS 및 토탈스테이션이 결합된 이동식 토탈측량시스템및 이를 이용한 측량법(Total Survey System equipped with Unified GPS and TotalStation, and Survey method using thereof)
ValueCountFrequency (%)
41
 
7.8%
방법 38
 
7.3%
장치 33
 
6.3%
이용한 13
 
2.5%
기반의 10
 
1.9%
관리 9
 
1.7%
이를 8
 
1.5%
and 7
 
1.3%
system 7
 
1.3%
제공 7
 
1.3%
Other values (234) 350
66.9%
2023-12-12T20:44:00.826235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
 
20.1%
48
 
2.1%
45
 
1.9%
45
 
1.9%
e 44
 
1.9%
42
 
1.8%
40
 
1.7%
39
 
1.7%
37
 
1.6%
33
 
1.4%
Other values (235) 1482
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1168
50.3%
Space Separator 467
 
20.1%
Lowercase Letter 338
 
14.6%
Uppercase Letter 310
 
13.4%
Open Punctuation 13
 
0.6%
Close Punctuation 13
 
0.6%
Other Punctuation 7
 
0.3%
Decimal Number 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
4.1%
45
 
3.9%
45
 
3.9%
42
 
3.6%
40
 
3.4%
39
 
3.3%
37
 
3.2%
33
 
2.8%
30
 
2.6%
28
 
2.4%
Other values (188) 781
66.9%
Lowercase Letter
ValueCountFrequency (%)
e 44
13.0%
n 33
 
9.8%
i 33
 
9.8%
t 31
 
9.2%
o 29
 
8.6%
r 22
 
6.5%
a 22
 
6.5%
s 15
 
4.4%
d 14
 
4.1%
g 12
 
3.6%
Other values (11) 83
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 32
 
10.3%
I 29
 
9.4%
O 26
 
8.4%
N 24
 
7.7%
T 24
 
7.7%
R 23
 
7.4%
D 19
 
6.1%
M 19
 
6.1%
A 17
 
5.5%
G 16
 
5.2%
Other values (11) 81
26.1%
Space Separator
ValueCountFrequency (%)
467
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1168
50.3%
Latin 648
27.9%
Common 506
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
4.1%
45
 
3.9%
45
 
3.9%
42
 
3.6%
40
 
3.4%
39
 
3.3%
37
 
3.2%
33
 
2.8%
30
 
2.6%
28
 
2.4%
Other values (188) 781
66.9%
Latin
ValueCountFrequency (%)
e 44
 
6.8%
n 33
 
5.1%
i 33
 
5.1%
S 32
 
4.9%
t 31
 
4.8%
o 29
 
4.5%
I 29
 
4.5%
O 26
 
4.0%
N 24
 
3.7%
T 24
 
3.7%
Other values (32) 343
52.9%
Common
ValueCountFrequency (%)
467
92.3%
( 13
 
2.6%
) 13
 
2.6%
, 7
 
1.4%
3 6
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1168
50.3%
ASCII 1151
49.6%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
40.6%
e 44
 
3.8%
n 33
 
2.9%
i 33
 
2.9%
S 32
 
2.8%
t 31
 
2.7%
o 29
 
2.5%
I 29
 
2.5%
O 26
 
2.3%
N 24
 
2.1%
Other values (36) 403
35.0%
Hangul
ValueCountFrequency (%)
48
 
4.1%
45
 
3.9%
45
 
3.9%
42
 
3.6%
40
 
3.4%
39
 
3.3%
37
 
3.2%
33
 
2.8%
30
 
2.6%
28
 
2.4%
Other values (188) 781
66.9%
None
ValueCountFrequency (%)
3
100.0%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
등록
56 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록 56
100.0%

Length

2023-12-12T20:44:01.058503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:44:01.213051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 56
100.0%
Distinct35
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum1998-12-19 00:00:00
Maximum2021-08-20 00:00:00
2023-12-12T20:44:01.388584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:01.597984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T20:44:02.011098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters560
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

Unique54 ?
Unique (%)96.4%

Sample

1st row10-0288885
2nd row10-0564145
3rd row10-0564146
4th row10-0709676
5th row10-0721764
ValueCountFrequency (%)
10-1797325 2
 
3.6%
10-2318017 1
 
1.8%
10-2035030 1
 
1.8%
10-2199940 1
 
1.8%
10-2225813 1
 
1.8%
10-2249524 1
 
1.8%
10-2249522 1
 
1.8%
10-2288701 1
 
1.8%
10-2273274 1
 
1.8%
10-2293819 1
 
1.8%
Other values (45) 45
80.4%
2023-12-12T20:44:02.602869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 119
21.2%
0 78
13.9%
2 68
12.1%
- 56
10.0%
5 39
 
7.0%
9 38
 
6.8%
3 38
 
6.8%
7 37
 
6.6%
4 32
 
5.7%
8 31
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 504
90.0%
Dash Punctuation 56
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 119
23.6%
0 78
15.5%
2 68
13.5%
5 39
 
7.7%
9 38
 
7.5%
3 38
 
7.5%
7 37
 
7.3%
4 32
 
6.3%
8 31
 
6.2%
6 24
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 119
21.2%
0 78
13.9%
2 68
12.1%
- 56
10.0%
5 39
 
7.0%
9 38
 
6.8%
3 38
 
6.8%
7 37
 
6.6%
4 32
 
5.7%
8 31
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 119
21.2%
0 78
13.9%
2 68
12.1%
- 56
10.0%
5 39
 
7.0%
9 38
 
6.8%
3 38
 
6.8%
7 37
 
6.6%
4 32
 
5.7%
8 31
 
5.5%
Distinct44
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2001-02-12 00:00:00
Maximum2023-07-17 00:00:00
2023-12-12T20:44:02.846044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:03.102460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

Correlations

2023-12-12T20:44:03.302270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출원번호발명의명칭출원일자등록번호등록일자
출원번호1.0001.0001.0001.0001.000
발명의명칭1.0001.0001.0001.0001.000
출원일자1.0001.0001.0000.9780.978
등록번호1.0001.0000.9781.0000.980
등록일자1.0001.0000.9780.9801.000

Missing values

2023-12-12T20:43:58.355639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:43:58.557190image/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

출원번호발명의명칭상태출원일자등록번호등록일자
010-1998-0056425측량장비용삼각대(THREE LEGGED SUPPORTER FOR SURVEYING INSTRUMENT)등록1998-12-1910-02888852001-02-12
110-2004-0041703측량 기준점 표지구를 이용한 측량 표지관리 시스템(Survey Indicator Management System using Survey Control Point Indicator Device)등록2004-06-0810-05641452006-03-20
210-2004-0041706무선 인터넷을 이용한 디지피에스 시스템(DGPS System Using CDMA Wireless Internet)등록2004-06-0810-05641462006-03-20
310-2004-0041702음성인식 측량 시스템(Survey System Using Voice Recognition Module)등록2004-06-0810-07096762007-04-13
410-2006-0072429GPS 및 토탈스테이션이 결합된 이동식 토탈측량시스템및 이를 이용한 측량법(Total Survey System equipped with Unified GPS and TotalStation, and Survey method using thereof)등록2006-08-0110-07217642007-05-18
510-2010-0100852측정치 보정정보의 위치영역 매핑을 이용한 위성항법 보강방법(Differential GPS using Range Correction Mapping)등록2010-10-1510-11840432012-09-12
610-2013-0059871공간 정보 제공 방법 및 장치(METHOD AND APPARATUS FOR PROVIDING SPATIAL INFORMATION)등록2013-05-2710-15133472015-04-13
710-2013-0161312위치 정보를 이용한 안전 정보 제공 방법 및 시스템(METHOD AND SYSTEM FOR PROVIDING SAFETY INFORMATION USING LOCATION INFORMATION)등록2013-12-2310-15133702015-04-13
810-2013-0161606지적측량 데이터 처리방법(Processing Method of Cadastral Survey Data)등록2013-12-2310-15325822015-06-24
910-2013-0161311사용자 정보를 이용한 여행, 상품 정보 제공 방법 및 시스템(METHOD AND SYSTEM FOR PROVIDING TOUR AND COMMODITY INFORMATION USING USER INFORMATION)등록2013-12-2310-15754332015-12-01
출원번호발명의명칭상태출원일자등록번호등록일자
4610-2020-0009227나무심기 입지 분석 장치 및 방법등록2020-01-2310-23682612022-02-23
4710-2020-0119806빅데이터 및 인공지능 기반 재배작물 분류방법, 그리고 이를 실행시키기 위한 프로그램을 기록한 저장매체등록2020-09-1710-23730392022-03-07
4810-2020-0009223음식물쓰레기 관리 지원 장치 및 방법등록2020-01-2310-23743422022-03-10
4910-2020-0129478인공지능을 활용한 공간정보 기반의 토지 관리 장치 및 방법등록2020-10-0710-23769122022-03-16
5010-2020-0129474토지현황 분석을 위한 데이터베이스 구축 장치 및 방법등록2020-10-0710-23769212022-03-16
5110-2020-0047523도로선형 기반의 3차원 공간객체 위치보정 방법등록2020-04-2010-24262822022-07-25
5210-2021-0002211새로운 주소체계에서 참조 주소 자동 생성장치, 참조 주소 자동생성 방법 및 컴퓨터 프로그램등록2021-01-0710-24525782022-10-04
5310-2020-0052342자율주행 로봇을 이용한 사물주소 기반의 배달 방법 및 장치등록2020-04-2910-25049412023-02-24
5410-2021-0041923건물형상정합 알고리즘을 이용한 3D 모델 위치보정 방법 및 장치등록2021-03-3110-25289512023-04-28
5510-2021-0110165맵 어플리케이션을 활용한 지적기준점 관리 장치 및 방법등록2021-08-2010-25579802023-07-17