Overview

Dataset statistics

Number of variables6
Number of observations252
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Text2
DateTime1
Categorical2

Dataset

Description재난안전산업 진흥법 제14조에 따른 우수 재난안전기술 개발·보급 및 재난안전기술 실용화 등을 위해 신규성, 우수성 등을 평가하여 지정한 재난안전신기술 현황 정보
Author행정안전부
URLhttps://www.data.go.kr/data/15013237/fileData.do

Alerts

분야 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 분야High correlation
구 분 has unique valuesUnique
신기술명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:51:33.268010
Analysis finished2023-12-12 10:51:34.724582
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Real number (ℝ)

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5
Minimum1
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T19:51:35.481542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.55
Q163.75
median126.5
Q3189.25
95-th percentile239.45
Maximum252
Range251
Interquartile range (IQR)125.5

Descriptive statistics

Standard deviation72.890329
Coefficient of variation (CV)0.57620813
Kurtosis-1.2
Mean126.5
Median Absolute Deviation (MAD)63
Skewness0
Sum31878
Variance5313
MonotonicityStrictly increasing
2023-12-12T19:51:35.807581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
175 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
Other values (242) 242
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%

기술소유
Text

Distinct241
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T19:51:36.336643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length12.492063
Min length3

Characters and Unicode

Total characters3148
Distinct characters263
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

Unique230 ?
Unique (%)91.3%

Sample

1st row고진희
2nd row(주)휴먼브릿지, ㈜수성엔지니어링, ㈜서영엔지니어링, 태평양개발㈜
3rd row(주)희상리인포스
4th row우진산업(주)
5th row하서산업㈜, 김상국
ValueCountFrequency (%)
㈜삼안 7
 
1.6%
㈜도화엔지니어링 6
 
1.4%
㈜한국종합기술 6
 
1.4%
㈜이산 5
 
1.1%
정순국 4
 
0.9%
산이건설㈜ 3
 
0.7%
한국건설기술연구원 3
 
0.7%
금광기업㈜ 3
 
0.7%
하서산업㈜ 3
 
0.7%
㈜리튼브릿지 3
 
0.7%
Other values (344) 394
90.2%
2023-12-12T19:51:37.316930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 335
 
10.6%
, 199
 
6.3%
187
 
5.9%
이 123
 
3.9%
주 76
 
2.4%
( 75
 
2.4%
) 75
 
2.4%
건 71
 
2.3%
지 71
 
2.3%
기 66
 
2.1%
Other values (253) 1870
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2256
71.7%
Other Symbol 335
 
10.6%
Other Punctuation 199
 
6.3%
Space Separator 187
 
5.9%
Open Punctuation 75
 
2.4%
Close Punctuation 75
 
2.4%
Uppercase Letter 20
 
0.6%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 123
 
5.5%
주 76
 
3.4%
건 71
 
3.1%
지 71
 
3.1%
기 66
 
2.9%
산 65
 
2.9%
엔 63
 
2.8%
씨 58
 
2.6%
설 56
 
2.5%
업 54
 
2.4%
Other values (234) 1553
68.8%
Uppercase Letter
ValueCountFrequency (%)
R 3
15.0%
G 2
10.0%
E 2
10.0%
H 2
10.0%
K 2
10.0%
N 2
10.0%
C 1
 
5.0%
T 1
 
5.0%
S 1
 
5.0%
D 1
 
5.0%
Other values (3) 3
15.0%
Other Symbol
ValueCountFrequency (%)
㈜ 335
100.0%
Other Punctuation
ValueCountFrequency (%)
, 199
100.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2591
82.3%
Common 537
 
17.1%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 335
 
12.9%
이 123
 
4.7%
주 76
 
2.9%
건 71
 
2.7%
지 71
 
2.7%
기 66
 
2.5%
산 65
 
2.5%
엔 63
 
2.4%
씨 58
 
2.2%
설 56
 
2.2%
Other values (235) 1607
62.0%
Latin
ValueCountFrequency (%)
R 3
15.0%
G 2
10.0%
E 2
10.0%
H 2
10.0%
K 2
10.0%
N 2
10.0%
C 1
 
5.0%
T 1
 
5.0%
S 1
 
5.0%
D 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
, 199
37.1%
187
34.8%
( 75
 
14.0%
) 75
 
14.0%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2255
71.6%
ASCII 557
 
17.7%
None 335
 
10.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 335
100.0%
ASCII
ValueCountFrequency (%)
, 199
35.7%
187
33.6%
( 75
 
13.5%
) 75
 
13.5%
R 3
 
0.5%
G 2
 
0.4%
E 2
 
0.4%
H 2
 
0.4%
K 2
 
0.4%
N 2
 
0.4%
Other values (8) 8
 
1.4%
Hangul
ValueCountFrequency (%)
이 123
 
5.5%
주 76
 
3.4%
건 71
 
3.1%
지 71
 
3.1%
기 66
 
2.9%
산 65
 
2.9%
엔 63
 
2.8%
씨 58
 
2.6%
설 56
 
2.5%
업 54
 
2.4%
Other values (233) 1552
68.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

신기술명
Text

UNIQUE 

Distinct252
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T19:51:37.960138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length56.5
Mean length38.452381
Min length16

Characters and Unicode

Total characters9690
Distinct characters489
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)100.0%

Sample

1st row내외수의 수압차를 이용한 무동력 수문자동 개폐 장치
2nd row재난 복구용 H형강에 고강도 강판을 부착한 프리스트레스거더 가설 교량의 제작/시공법
3rd rowPeel-ply type 아라미드 스트립 부재를 이용한 철근콘크리트 구조물 보강공법
4th row홍수재해 저감을 위한 일체형 유압식 수문 구조 기술
5th row배수펌프장이 필요없는 펌프일체형 수문시스템 설치기술
ValueCountFrequency (%)
및 89
 
3.9%
이용한 81
 
3.5%
기술 67
 
2.9%
공법 39
 
1.7%
제작 32
 
1.4%
위한 19
 
0.8%
거더 18
 
0.8%
콘크리트 17
 
0.7%
적용한 14
 
0.6%
제진기 14
 
0.6%
Other values (1362) 1893
82.9%
2023-12-12T19:51:38.908708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2057
 
21.2%
한 199
 
2.1%
이 196
 
2.0%
기 181
 
1.9%
용 179
 
1.8%
형 121
 
1.2%
를 120
 
1.2%
술 115
 
1.2%
을 112
 
1.2%
강 108
 
1.1%
Other values (479) 6302
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7282
75.1%
Space Separator 2057
 
21.2%
Uppercase Letter 180
 
1.9%
Lowercase Letter 64
 
0.7%
Other Punctuation 28
 
0.3%
Close Punctuation 27
 
0.3%
Open Punctuation 27
 
0.3%
Decimal Number 16
 
0.2%
Control 6
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 199
 
2.7%
이 196
 
2.7%
기 181
 
2.5%
용 179
 
2.5%
형 121
 
1.7%
를 120
 
1.6%
술 115
 
1.6%
을 112
 
1.5%
강 108
 
1.5%
수 107
 
1.5%
Other values (426) 5844
80.3%
Uppercase Letter
ValueCountFrequency (%)
P 36
20.0%
C 25
13.9%
S 24
13.3%
I 14
 
7.8%
T 10
 
5.6%
L 10
 
5.6%
R 10
 
5.6%
H 9
 
5.0%
F 7
 
3.9%
V 5
 
2.8%
Other values (11) 30
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.6%
o 8
12.5%
l 8
12.5%
a 7
10.9%
n 6
9.4%
r 5
7.8%
f 4
 
6.2%
x 3
 
4.7%
y 3
 
4.7%
t 2
 
3.1%
Other values (6) 8
12.5%
Decimal Number
ValueCountFrequency (%)
2 7
43.8%
3 5
31.2%
8 1
 
6.2%
1 1
 
6.2%
4 1
 
6.2%
6 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 14
50.0%
· 6
21.4%
. 3
 
10.7%
/ 3
 
10.7%
" 2
 
7.1%
Space Separator
ValueCountFrequency (%)
2057
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7282
75.1%
Common 2164
 
22.3%
Latin 244
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 199
 
2.7%
이 196
 
2.7%
기 181
 
2.5%
용 179
 
2.5%
형 121
 
1.7%
를 120
 
1.6%
술 115
 
1.6%
을 112
 
1.5%
강 108
 
1.5%
수 107
 
1.5%
Other values (426) 5844
80.3%
Latin
ValueCountFrequency (%)
P 36
14.8%
C 25
 
10.2%
S 24
 
9.8%
I 14
 
5.7%
T 10
 
4.1%
L 10
 
4.1%
e 10
 
4.1%
R 10
 
4.1%
H 9
 
3.7%
o 8
 
3.3%
Other values (27) 88
36.1%
Common
ValueCountFrequency (%)
2057
95.1%
) 27
 
1.2%
( 27
 
1.2%
, 14
 
0.6%
2 7
 
0.3%
· 6
 
0.3%
6
 
0.3%
3 5
 
0.2%
. 3
 
0.1%
- 3
 
0.1%
Other values (6) 9
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7282
75.1%
ASCII 2402
 
24.8%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2057
85.6%
P 36
 
1.5%
) 27
 
1.1%
( 27
 
1.1%
C 25
 
1.0%
S 24
 
1.0%
I 14
 
0.6%
, 14
 
0.6%
T 10
 
0.4%
L 10
 
0.4%
Other values (42) 158
 
6.6%
Hangul
ValueCountFrequency (%)
한 199
 
2.7%
이 196
 
2.7%
기 181
 
2.5%
용 179
 
2.5%
형 121
 
1.7%
를 120
 
1.6%
술 115
 
1.6%
을 112
 
1.5%
강 108
 
1.5%
수 107
 
1.5%
Other values (426) 5844
80.3%
None
ValueCountFrequency (%)
· 6
100.0%

유효기간
Date

Distinct217
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2010-09-17 00:00:00
Maximum2029-09-07 00:00:00
2023-12-12T19:51:39.197436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:51:39.493934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

분야
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
하천재해
84 
내수재해
75 
사면지반재해
37 
지진
13 
지진재해
13 
Other values (8)
30 

Length

Max length6
Median length4
Mean length4.0634921
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row내수재해
2nd row하천재해
3rd row지진
4th row내수재해
5th row내수재해

Common Values

ValueCountFrequency (%)
하천재해 84
33.3%
내수재해 75
29.8%
사면지반재해 37
14.7%
지진 13
 
5.2%
지진재해 13
 
5.2%
기타재해 8
 
3.2%
기타 6
 
2.4%
낙뢰 5
 
2.0%
대설 3
 
1.2%
해안재해 3
 
1.2%
Other values (3) 5
 
2.0%

Length

2023-12-12T19:51:39.798498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하천재해 84
33.3%
내수재해 75
29.8%
사면지반재해 37
14.7%
지진 13
 
5.2%
지진재해 13
 
5.2%
기타재해 8
 
3.2%
기타 6
 
2.4%
낙뢰 5
 
2.0%
대설 3
 
1.2%
해안재해 3
 
1.2%
Other values (3) 5
 
2.0%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
162 
만료
89 
낙뢰
 
1

Length

Max length4
Median length4
Mean length3.2857143
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 162
64.3%
만료 89
35.3%
낙뢰 1
 
0.4%

Length

2023-12-12T19:51:40.102116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:51:40.329942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
64.3%
만료 89
35.3%
낙뢰 1
 
0.4%

Interactions

2023-12-12T19:51:34.121372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:51:40.455055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분분야비고
구 분1.0000.3610.141
분야0.3611.0001.000
비고0.1411.0001.000
2023-12-12T19:51:40.651719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야비고
분야1.0000.965
비고0.9651.000
2023-12-12T19:51:40.815856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분분야비고
구 분1.0000.1560.169
분야0.1561.0000.965
비고0.1690.9651.000

Missing values

2023-12-12T19:51:34.372033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:51:34.619389image/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

구 분기술소유신기술명유효기간분야비고
01고진희내외수의 수압차를 이용한 무동력 수문자동 개폐 장치2010-09-17내수재해만료
12(주)휴먼브릿지, ㈜수성엔지니어링, ㈜서영엔지니어링, 태평양개발㈜재난 복구용 H형강에 고강도 강판을 부착한 프리스트레스거더 가설 교량의 제작/시공법2015-03-31하천재해만료
23(주)희상리인포스Peel-ply type 아라미드 스트립 부재를 이용한 철근콘크리트 구조물 보강공법2014-08-05지진만료
34우진산업(주)홍수재해 저감을 위한 일체형 유압식 수문 구조 기술2014-12-08내수재해만료
45하서산업㈜, 김상국배수펌프장이 필요없는 펌프일체형 수문시스템 설치기술2012-04-20내수재해만료
56(주)유경기술단암반사면 내부에 설치된 AE센서를 이용한 사면 계측관리기술2012-09-07사면지반재해만료
67중앙종합기계(주)협잡물 제거를 위한 3링크식 자동제진 기술2012-10-04내수재해만료
78(주)즐거운미래비 염화물계 친환경 액상 제설제2013-01-11대설만료
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