Overview

Dataset statistics

Number of variables8
Number of observations74
Missing cells6
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory66.8 B

Variable types

Numeric1
DateTime3
Boolean2
Text2

Dataset

Description가스안전연구원에서 직무발명을 통해 보유하고 있는 지식재산권에 대한 기술이전 현황(기술계약명, 이전기업, 유상여부 등)을 공유하여 기술이전 홍보 및 공공-민간의 상생 도모하기 위한 데이터입니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15001782/fileData.do

Alerts

번호 is highly overall correlated with 종료여부High correlation
종료여부 is highly overall correlated with 번호High correlation
종료일 has 6 (8.1%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:41:31.219969
Analysis finished2023-12-12 13:41:32.130261
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-12T22:41:32.205165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2023-12-12T22:41:32.352580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
Distinct44
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2011-08-03 00:00:00
Maximum2021-12-08 00:00:00
2023-12-12T22:41:32.510263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:32.658345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
Distinct45
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2011-08-03 00:00:00
Maximum2021-12-08 00:00:00
2023-12-12T22:41:32.784344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:32.912475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

종료일
Date

MISSING 

Distinct43
Distinct (%)63.2%
Missing6
Missing (%)8.1%
Memory size724.0 B
Minimum2014-07-31 00:00:00
Maximum2026-12-07 00:00:00
2023-12-12T22:41:33.053302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:33.210872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

종료여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size206.0 B
False
53 
True
21 
ValueCountFrequency (%)
False 53
71.6%
True 21
 
28.4%
2023-12-12T22:41:33.379510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct66
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T22:41:33.686325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length35
Mean length24.743243
Min length13

Characters and Unicode

Total characters1831
Distinct characters217
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

Unique59 ?
Unique (%)79.7%

Sample

1st row중간밸브의 핸들 회전구속 장치 기술이전
2nd row유비쿼터스 도시가스 안전관리 무선 인프라 기술이전
3rd row배관삽입형 막음조치기구 기술이전
4th row실시간 위험전조 예측방법 및 예측시스템
5th row적외선 센서를 이용한 가스농도 검출기 및 가스 검출 방법 기술이전
ValueCountFrequency (%)
기술 40
 
8.8%
24
 
5.3%
시스템 12
 
2.6%
실시간 9
 
2.0%
기술이전 9
 
2.0%
예측 9
 
2.0%
방폭형 8
 
1.8%
인프라 7
 
1.5%
방법 6
 
1.3%
에너지 5
 
1.1%
Other values (198) 328
71.8%
2023-12-12T22:41:34.178030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
21.0%
104
 
5.7%
63
 
3.4%
60
 
3.3%
48
 
2.6%
40
 
2.2%
37
 
2.0%
34
 
1.9%
32
 
1.7%
27
 
1.5%
Other values (207) 1002
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1389
75.9%
Space Separator 384
 
21.0%
Lowercase Letter 21
 
1.1%
Uppercase Letter 19
 
1.0%
Decimal Number 7
 
0.4%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
104
 
7.5%
63
 
4.5%
60
 
4.3%
48
 
3.5%
40
 
2.9%
37
 
2.7%
34
 
2.4%
32
 
2.3%
27
 
1.9%
25
 
1.8%
Other values (179) 919
66.2%
Uppercase Letter
ValueCountFrequency (%)
T 5
26.3%
I 2
 
10.5%
S 2
 
10.5%
D 2
 
10.5%
G 2
 
10.5%
C 1
 
5.3%
N 1
 
5.3%
O 1
 
5.3%
L 1
 
5.3%
P 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
o 4
19.0%
e 4
19.0%
r 3
14.3%
n 2
9.5%
p 2
9.5%
y 2
9.5%
i 1
 
4.8%
t 1
 
4.8%
a 1
 
4.8%
m 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
1 2
28.6%
Space Separator
ValueCountFrequency (%)
384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1389
75.9%
Common 402
 
22.0%
Latin 40
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
104
 
7.5%
63
 
4.5%
60
 
4.3%
48
 
3.5%
40
 
2.9%
37
 
2.7%
34
 
2.4%
32
 
2.3%
27
 
1.9%
25
 
1.8%
Other values (179) 919
66.2%
Latin
ValueCountFrequency (%)
T 5
12.5%
o 4
 
10.0%
e 4
 
10.0%
r 3
 
7.5%
n 2
 
5.0%
I 2
 
5.0%
S 2
 
5.0%
D 2
 
5.0%
G 2
 
5.0%
p 2
 
5.0%
Other values (11) 12
30.0%
Common
ValueCountFrequency (%)
384
95.5%
( 5
 
1.2%
) 5
 
1.2%
2 3
 
0.7%
4 2
 
0.5%
1 2
 
0.5%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1389
75.9%
ASCII 442
 
24.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
86.9%
T 5
 
1.1%
( 5
 
1.1%
) 5
 
1.1%
o 4
 
0.9%
e 4
 
0.9%
2 3
 
0.7%
r 3
 
0.7%
n 2
 
0.5%
I 2
 
0.5%
Other values (18) 25
 
5.7%
Hangul
ValueCountFrequency (%)
104
 
7.5%
63
 
4.5%
60
 
4.3%
48
 
3.5%
40
 
2.9%
37
 
2.7%
34
 
2.4%
32
 
2.3%
27
 
1.9%
25
 
1.8%
Other values (179) 919
66.2%
Distinct38
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T22:41:34.417991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length5.7297297
Min length3

Characters and Unicode

Total characters424
Distinct characters96
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)21.6%

Sample

1st row대진 프라스틱
2nd row㈜한국플랜트관리
3rd row㈜이지씨엔이
4th row㈜소프트랩
5th row㈜알에프엔진
ValueCountFrequency (%)
㈜대흥정공 6
 
7.8%
선두전자 4
 
5.2%
㈜이형정보기술 4
 
5.2%
㈜월드아이 3
 
3.9%
㈜소프트랩 3
 
3.9%
㈜알에프엔진 3
 
3.9%
익성전자 3
 
3.9%
㈜유피오 3
 
3.9%
태산엔지니어링㈜ 3
 
3.9%
㈜유비콤 2
 
2.6%
Other values (31) 43
55.8%
2023-12-12T22:41:34.831601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
13.9%
28
 
6.6%
17
 
4.0%
10
 
2.4%
10
 
2.4%
10
 
2.4%
10
 
2.4%
9
 
2.1%
9
 
2.1%
9
 
2.1%
Other values (86) 253
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
84.4%
Other Symbol 59
 
13.9%
Space Separator 3
 
0.7%
Uppercase Letter 2
 
0.5%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
7.8%
17
 
4.7%
10
 
2.8%
10
 
2.8%
10
 
2.8%
10
 
2.8%
9
 
2.5%
9
 
2.5%
9
 
2.5%
9
 
2.5%
Other values (80) 237
66.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
E 1
50.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Other Symbol
ValueCountFrequency (%)
59
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
98.3%
Common 5
 
1.2%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
14.1%
28
 
6.7%
17
 
4.1%
10
 
2.4%
10
 
2.4%
10
 
2.4%
10
 
2.4%
9
 
2.2%
9
 
2.2%
9
 
2.2%
Other values (81) 246
59.0%
Common
ValueCountFrequency (%)
3
60.0%
& 1
 
20.0%
, 1
 
20.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
84.4%
None 59
 
13.9%
ASCII 7
 
1.7%

Most frequent character per block

None
ValueCountFrequency (%)
59
100.0%
Hangul
ValueCountFrequency (%)
28
 
7.8%
17
 
4.7%
10
 
2.8%
10
 
2.8%
10
 
2.8%
10
 
2.8%
9
 
2.5%
9
 
2.5%
9
 
2.5%
9
 
2.5%
Other values (80) 237
66.2%
ASCII
ValueCountFrequency (%)
3
42.9%
C 1
 
14.3%
& 1
 
14.3%
, 1
 
14.3%
E 1
 
14.3%
Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size206.0 B
True
64 
False
10 
ValueCountFrequency (%)
True 64
86.5%
False 10
 
13.5%
2023-12-12T22:41:34.986575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T22:41:31.818152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:41:35.071452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호협약일시작일종료일종료여부계약건명(기술)기술이전기업유상여부
번호1.0000.9800.9840.9750.9470.9640.8020.563
협약일0.9801.0001.0000.9990.9970.9840.9760.990
시작일0.9841.0001.0000.9990.9860.9830.9790.972
종료일0.9750.9990.9991.0000.9830.9890.9700.897
종료여부0.9470.9970.9860.9831.0001.0000.8210.264
계약건명(기술)0.9640.9840.9830.9891.0001.0000.9671.000
기술이전기업0.8020.9760.9790.9700.8210.9671.0000.909
유상여부0.5630.9900.9720.8970.2641.0000.9091.000
2023-12-12T22:41:35.212368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유상여부종료여부
유상여부1.0000.169
종료여부0.1691.000
2023-12-12T22:41:35.310428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호종료여부유상여부
번호1.0000.7580.408
종료여부0.7581.0000.169
유상여부0.4080.1691.000

Missing values

2023-12-12T22:41:31.949325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:41:32.079489image/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

번호협약일시작일종료일종료여부계약건명(기술)기술이전기업유상여부
012011-08-032011-08-032014-07-31Y중간밸브의 핸들 회전구속 장치 기술이전대진 프라스틱Y
122012-11-062012-11-072015-11-06Y유비쿼터스 도시가스 안전관리 무선 인프라 기술이전㈜한국플랜트관리Y
232012-12-272012-12-272015-12-26Y배관삽입형 막음조치기구 기술이전㈜이지씨엔이Y
342013-06-142013-04-142016-06-13Y실시간 위험전조 예측방법 및 예측시스템㈜소프트랩Y
452013-08-072013-08-072018-08-06Y적외선 센서를 이용한 가스농도 검출기 및 가스 검출 방법 기술이전㈜알에프엔진Y
562013-08-072013-08-072018-08-06Y가스배관 안전용 휴대 통합 측정 장치 기술이전선두전자Y
672013-10-252013-10-252016-10-24Y스마트 도시가스 안전관리 인프라 기술이전㈜소프트랩Y
782014-08-312014-08-312017-08-31Y정압기실 바닥마감재 및 난연성 도료 개발아이엔티코리아Y
892014-12-082014-12-082017-12-31Y스마트 기반 복합가스측정기 개발 기술이전㈜제이투플러스Y
9102014-12-082014-12-082016-12-31Y레이저 메탄 검지기 성능 개선 기술이전선두전자Y
번호협약일시작일종료일종료여부계약건명(기술)기술이전기업유상여부
64652020-12-212020-12-212025-12-20N수소 폭압 실증시험용 수소가스 압축주입장치 기술태산엔지니어링㈜Y
65662020-12-212020-12-212025-12-20NTiO2 기반의 수소센서 제조 및 수소감지 기술㈜이형정보기술Y
66672020-12-212020-12-212025-12-20N수소가스 센서의 검지정확도 및 시험 기술㈜이형정보기술Y
67682020-12-212020-12-212025-12-20N이산화티타늄 기반 수소센서 및 수소 감지 기술익성전자Y
68692020-12-212020-12-212025-12-20N탈착식 무선 수소 감지기의 데이터 전송 기술익성전자Y
69702021-11-012021-11-012022-05-31Y복합재 수소드론용기 검사 기술㈜대흥정공Y
70712021-11-012021-11-012022-10-31N수소 고압용 비금속 재료 검사 기술㈜하이랩Y
71722021-12-082021-12-082026-12-07N무선 가스안전기기 성능 평가용 장비 및 시스템스타테크N
72732021-12-082021-12-082026-12-07N위험지역 내 작업자 및 시설 식별 시스템케이에스이씨㈜N
73742021-12-082021-12-082026-12-07N다기능 가스안전계량기 시험평가 시스템시리우스, 테크놀로지N