Overview

Dataset statistics

Number of variables5
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Text2
DateTime2

Dataset

Description한국남부발전(주)_기술사용공모현황에 대한 데이터로 산업재산권 명칭, 출원일자, 출원번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15042397/fileData.do

Alerts

구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:13:35.354810
Analysis finished2023-12-12 15:13:36.259169
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:13:36.333398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2023-12-13T00:13:36.488836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

산업재산권 명칭
Text

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T00:13:36.807523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length26
Mean length16.567164
Min length5

Characters and Unicode

Total characters1110
Distinct characters204
Distinct categories6 ?
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 (%)83.6%

Sample

1st row담수를 이용한 석탄재 처리 시스템
2nd row스케일 생성 방지제를 이용한 배연 탈황 폐수 처리 방법
3rd row유비쿼터스 기반의 발전설비의 관리 시스템 및 방법
4th row노내 감시 장치의 제어 방법
5th row컨베이어벨트의 열감지 장치
ValueCountFrequency (%)
및 10
 
3.6%
장치 9
 
3.2%
방법 8
 
2.9%
이용한 8
 
2.9%
시스템 7
 
2.5%
발전플랜트의 4
 
1.4%
발전설비의 4
 
1.4%
발전 3
 
1.1%
가스터빈 3
 
1.1%
관리 3
 
1.1%
Other values (181) 218
78.7%
2023-12-13T00:13:37.297643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
18.9%
치 40
 
3.6%
장 38
 
3.4%
전 38
 
3.4%
의 28
 
2.5%
발 27
 
2.4%
용 24
 
2.2%
이 24
 
2.2%
비 20
 
1.8%
스 19
 
1.7%
Other values (194) 642
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 894
80.5%
Space Separator 210
 
18.9%
Uppercase Letter 2
 
0.2%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 40
 
4.5%
장 38
 
4.3%
전 38
 
4.3%
의 28
 
3.1%
발 27
 
3.0%
용 24
 
2.7%
이 24
 
2.7%
비 20
 
2.2%
스 19
 
2.1%
기 19
 
2.1%
Other values (187) 617
69.0%
Uppercase Letter
ValueCountFrequency (%)
Ｔ 1
50.0%
Ｐ 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
） 1
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 894
80.5%
Common 214
 
19.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 40
 
4.5%
장 38
 
4.3%
전 38
 
4.3%
의 28
 
3.1%
발 27
 
3.0%
용 24
 
2.7%
이 24
 
2.7%
비 20
 
2.2%
스 19
 
2.1%
기 19
 
2.1%
Other values (187) 617
69.0%
Common
ValueCountFrequency (%)
210
98.1%
） 1
 
0.5%
（ 1
 
0.5%
, 1
 
0.5%
/ 1
 
0.5%
Latin
ValueCountFrequency (%)
Ｔ 1
50.0%
Ｐ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 894
80.5%
ASCII 212
 
19.1%
None 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
99.1%
, 1
 
0.5%
/ 1
 
0.5%
Hangul
ValueCountFrequency (%)
치 40
 
4.5%
장 38
 
4.3%
전 38
 
4.3%
의 28
 
3.1%
발 27
 
3.0%
용 24
 
2.7%
이 24
 
2.7%
비 20
 
2.2%
스 19
 
2.1%
기 19
 
2.1%
Other values (187) 617
69.0%
None
ValueCountFrequency (%)
） 1
25.0%
Ｔ 1
25.0%
Ｐ 1
25.0%
（ 1
25.0%

공모 일자
Date

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2019-08-05 00:00:00
Maximum2023-06-19 00:00:00
2023-12-13T00:13:37.418878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:37.530131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

출원 일자
Date

Distinct27
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2003-02-04 00:00:00
Maximum2013-09-26 00:00:00
2023-12-13T00:13:37.637034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:37.777320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

출원 번호
Text

Distinct64
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T00:13:38.011591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters1005
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

Unique61 ?
Unique (%)91.0%

Sample

1st row10-2003-0007041
2nd row10-2004-0050373
3rd row10-2010-0075094
4th row10-2011-0050167
5th row10-2011-0088221
ValueCountFrequency (%)
10-2010-0075094 2
 
3.0%
10-2011-0050167 2
 
3.0%
10-2011-0088221 2
 
3.0%
10-2011-0050164 1
 
1.5%
10-2010-0075102 1
 
1.5%
10-2010-0134979 1
 
1.5%
10-2010-0125803 1
 
1.5%
10-2003-0007041 1
 
1.5%
10-2011-0088227 1
 
1.5%
10-2008-0104278 1
 
1.5%
Other values (54) 54
80.6%
2023-12-13T00:13:38.358413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
33.5%
1 189
18.8%
- 134
 
13.3%
2 111
 
11.0%
8 44
 
4.4%
5 43
 
4.3%
7 37
 
3.7%
9 32
 
3.2%
4 29
 
2.9%
3 27
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 871
86.7%
Dash Punctuation 134
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
38.7%
1 189
21.7%
2 111
 
12.7%
8 44
 
5.1%
5 43
 
4.9%
7 37
 
4.2%
9 32
 
3.7%
4 29
 
3.3%
3 27
 
3.1%
6 22
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
33.5%
1 189
18.8%
- 134
 
13.3%
2 111
 
11.0%
8 44
 
4.4%
5 43
 
4.3%
7 37
 
3.7%
9 32
 
3.2%
4 29
 
2.9%
3 27
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
33.5%
1 189
18.8%
- 134
 
13.3%
2 111
 
11.0%
8 44
 
4.4%
5 43
 
4.3%
7 37
 
3.7%
9 32
 
3.2%
4 29
 
2.9%
3 27
 
2.7%

Interactions

2023-12-13T00:13:35.674719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:13:38.462533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분산업재산권 명칭공모 일자출원 일자출원 번호
구분1.0000.9510.9940.5360.757
산업재산권 명칭0.9511.0000.0000.9991.000
공모 일자0.9940.0001.0000.8530.000
출원 일자0.5360.9990.8531.0001.000
출원 번호0.7571.0000.0001.0001.000

Missing values

2023-12-13T00:13:36.115527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:13:36.215608image/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

구분산업재산권 명칭공모 일자출원 일자출원 번호
01담수를 이용한 석탄재 처리 시스템2019-08-052003-02-0410-2003-0007041
12스케일 생성 방지제를 이용한 배연 탈황 폐수 처리 방법2019-08-052004-06-3010-2004-0050373
23유비쿼터스 기반의 발전설비의 관리 시스템 및 방법2019-08-052010-08-0310-2010-0075094
34노내 감시 장치의 제어 방법2019-08-052011-05-2610-2011-0050167
45컨베이어벨트의 열감지 장치2019-08-052011-08-3110-2011-0088221
56배관 진동 에너지 흡수장치2019-08-052012-03-0510-2012-0022158
67복수탈염설비의 전치여과기 여과재 화학세정장치 및 방법2019-08-052012-12-1310-2012-0145154
78액추에이터 검사장치2019-08-052009-12-0420-2009-0015744
89수위측정계기용 도압관의 충수장치2019-08-052011-09-0920-2011-0008260
910터빈 로터의 추력 베어링 간극 측정장치2019-08-052012-08-2220-2012-0007458
구분산업재산권 명칭공모 일자출원 일자출원 번호
5758소수력 발전설비2023-06-192010-12-2410-2010-0134965
5859유동층보일러2023-06-192010-12-2410-2010-0134968
5960발전소 배기가스를 이용한 미세조류 배양장치2023-06-192010-12-2410-2010-0134978
6061외부 빛을 이용한 실내 조명장치2023-06-192010-12-2410-2010-0134981
6162반건식 탈황장치 및 이를 구비한 순환유동층보일러용 하이브리드 집진설비2023-06-192010-08-0310-2010-0075090
6263백하우스 및 이를 구비한 순환유동층보일러용 하이브리드 집진설비2023-06-192010-08-0310-2010-0075102
6364발전플랜트의 해수 취수설비2023-06-192011-05-2610-2011-0050164
6465밸브용 보수장치2023-06-192010-12-0910-2010-0125803
6566태양광을 이용한 미세조류 배양설비2023-06-192010-12-2410-2010-0134979
6667케이블 트레이2023-06-192011-05-2610-2011-0050157