Overview

Dataset statistics

Number of variables8
Number of observations225
Missing cells70
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory64.6 B

Variable types

Categorical1
Text5
DateTime2

Dataset

Description대전광역시 중소기업기술개발제품 현황 정보에 대한 데이터로 인증제품명, 업체명, 전화번호, 주소 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15061931/fileData.do

Alerts

전화번호 has 46 (20.4%) missing valuesMissing
인증일자 has 12 (5.3%) missing valuesMissing
만료일자 has 12 (5.3%) missing valuesMissing
인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:42:28.180026
Analysis finished2023-12-12 09:42:29.177433
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct14
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
구매조건부
56 
성능인증
41 
우수조달
37 
융복합기술개발사업
29 
녹색기술제품
18 
Other values (9)
44 

Length

Max length13
Median length12
Mean length5.8888889
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
구매조건부 56
24.9%
성능인증 41
18.2%
우수조달 37
16.4%
융복합기술개발사업 29
12.9%
녹색기술제품 18
 
8.0%
우수디자인상품선정상품 15
 
6.7%
민ㆍ관공동투자 7
 
3.1%
NET 6
 
2.7%
ICT융합 품질인증제품 5
 
2.2%
NEP 3
 
1.3%
Other values (4) 8
 
3.6%

Length

2023-12-12T18:42:29.252207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구매조건부 56
24.0%
성능인증 41
17.6%
우수조달 37
15.9%
융복합기술개발사업 29
12.4%
녹색기술제품 18
 
7.7%
우수디자인상품선정상품 15
 
6.4%
민ㆍ관공동투자 7
 
3.0%
net 6
 
2.6%
ict융합 5
 
2.1%
품질인증제품 5
 
2.1%
Other values (6) 14
 
6.0%

인증번호
Text

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T18:42:29.557070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.3777778
Min length3

Characters and Unicode

Total characters2110
Distinct characters42
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)100.0%

Sample

1st row42979
2nd row523
3rd row222
4th row100
5th row101
ValueCountFrequency (%)
42979 1
 
0.4%
18de090013 1
 
0.4%
s2455435 1
 
0.4%
s2451904 1
 
0.4%
s2448629 1
 
0.4%
s2450379 1
 
0.4%
gtp-19-01238 1
 
0.4%
gtp-19-01237 1
 
0.4%
19-1-0068 1
 
0.4%
gtp-19-01203 1
 
0.4%
Other values (217) 217
95.6%
2023-12-12T18:42:30.021064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 334
15.8%
2 275
13.0%
1 250
11.8%
4 142
 
6.7%
- 141
 
6.7%
9 124
 
5.9%
3 117
 
5.5%
5 104
 
4.9%
8 97
 
4.6%
7 92
 
4.4%
Other values (32) 434
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1607
76.2%
Uppercase Letter 288
 
13.6%
Dash Punctuation 141
 
6.7%
Other Letter 68
 
3.2%
Close Punctuation 2
 
0.1%
Space Separator 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 92
31.9%
G 31
 
10.8%
P 24
 
8.3%
T 21
 
7.3%
E 20
 
6.9%
D 19
 
6.6%
A 18
 
6.2%
Z 13
 
4.5%
F 11
 
3.8%
C 10
 
3.5%
Other values (7) 29
 
10.1%
Other Letter
ValueCountFrequency (%)
충 16
23.5%
전 14
20.6%
대 14
20.6%
남 14
20.6%
북 2
 
2.9%
제 2
 
2.9%
호 2
 
2.9%
현 1
 
1.5%
장 1
 
1.5%
특 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 334
20.8%
2 275
17.1%
1 250
15.6%
4 142
8.8%
9 124
 
7.7%
3 117
 
7.3%
5 104
 
6.5%
8 97
 
6.0%
7 92
 
5.7%
6 72
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1754
83.1%
Latin 288
 
13.6%
Hangul 68
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 92
31.9%
G 31
 
10.8%
P 24
 
8.3%
T 21
 
7.3%
E 20
 
6.9%
D 19
 
6.6%
A 18
 
6.2%
Z 13
 
4.5%
F 11
 
3.8%
C 10
 
3.5%
Other values (7) 29
 
10.1%
Common
ValueCountFrequency (%)
0 334
19.0%
2 275
15.7%
1 250
14.3%
4 142
8.1%
- 141
8.0%
9 124
 
7.1%
3 117
 
6.7%
5 104
 
5.9%
8 97
 
5.5%
7 92
 
5.2%
Other values (4) 78
 
4.4%
Hangul
ValueCountFrequency (%)
충 16
23.5%
전 14
20.6%
대 14
20.6%
남 14
20.6%
북 2
 
2.9%
제 2
 
2.9%
호 2
 
2.9%
현 1
 
1.5%
장 1
 
1.5%
특 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2042
96.8%
Hangul 68
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 334
16.4%
2 275
13.5%
1 250
12.2%
4 142
 
7.0%
- 141
 
6.9%
9 124
 
6.1%
3 117
 
5.7%
5 104
 
5.1%
8 97
 
4.8%
7 92
 
4.5%
Other values (21) 366
17.9%
Hangul
ValueCountFrequency (%)
충 16
23.5%
전 14
20.6%
대 14
20.6%
남 14
20.6%
북 2
 
2.9%
제 2
 
2.9%
호 2
 
2.9%
현 1
 
1.5%
장 1
 
1.5%
특 1
 
1.5%

인증제품명
Text

Distinct206
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T18:42:30.389657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length47
Mean length24.742222
Min length2

Characters and Unicode

Total characters5567
Distinct characters494
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)85.3%

Sample

1st row상하부 가스(BHT)농도 측정에 의한 배전반 화재와 침수 징후 감지 기술
2nd row골재 상호 충돌형 임팩트 파쇄기를 활용한 콘크리트용 순환 굵은골재 및 잔골재 생산기술
3rd row골재 상호 충돌형 임팩트 파쇄기를 활용한 콘크리트용 순환 굵은골재 및 잔골재 생산기술
4th row전원설비에 유입되는 이상전류(낙뢰, 누전, 정전) 감지 및 통보 기술
5th row낙뢰 등에 따른 유도전압에 의한 오작동 방지 누전차단 기술
ValueCountFrequency (%)
개발 60
 
4.8%
및 37
 
3.0%
시스템 21
 
1.7%
위한 16
 
1.3%
이용한 11
 
0.9%
적용한 10
 
0.8%
기술 9
 
0.7%
장치 8
 
0.6%
led 7
 
0.6%
스마트 7
 
0.6%
Other values (857) 1058
85.0%
2023-12-12T18:42:30.952476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1025
 
18.4%
기 97
 
1.7%
스 82
 
1.5%
발 79
 
1.4%
용 79
 
1.4%
이 78
 
1.4%
개 72
 
1.3%
전 62
 
1.1%
시 62
 
1.1%
한 61
 
1.1%
Other values (484) 3870
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3839
69.0%
Space Separator 1025
 
18.4%
Uppercase Letter 258
 
4.6%
Lowercase Letter 219
 
3.9%
Decimal Number 91
 
1.6%
Other Punctuation 48
 
0.9%
Open Punctuation 32
 
0.6%
Close Punctuation 32
 
0.6%
Dash Punctuation 13
 
0.2%
Math Symbol 5
 
0.1%
Other values (2) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 97
 
2.5%
스 82
 
2.1%
발 79
 
2.1%
용 79
 
2.1%
이 78
 
2.0%
개 72
 
1.9%
전 62
 
1.6%
시 62
 
1.6%
한 61
 
1.6%
장 58
 
1.5%
Other values (412) 3109
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 28
12.8%
t 23
 
10.5%
o 18
 
8.2%
a 17
 
7.8%
n 16
 
7.3%
r 15
 
6.8%
i 13
 
5.9%
m 11
 
5.0%
d 10
 
4.6%
v 8
 
3.7%
Other values (15) 60
27.4%
Uppercase Letter
ValueCountFrequency (%)
S 24
 
9.3%
D 23
 
8.9%
E 21
 
8.1%
C 20
 
7.8%
L 18
 
7.0%
P 18
 
7.0%
T 16
 
6.2%
M 12
 
4.7%
R 12
 
4.7%
I 12
 
4.7%
Other values (12) 82
31.8%
Decimal Number
ValueCountFrequency (%)
0 28
30.8%
1 22
24.2%
2 12
13.2%
5 9
 
9.9%
3 7
 
7.7%
7 6
 
6.6%
4 2
 
2.2%
6 2
 
2.2%
8 2
 
2.2%
9 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 20
41.7%
/ 11
22.9%
. 10
20.8%
: 4
 
8.3%
· 1
 
2.1%
% 1
 
2.1%
& 1
 
2.1%
Math Symbol
ValueCountFrequency (%)
× 3
60.0%
~ 2
40.0%
Space Separator
ValueCountFrequency (%)
1025
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Symbol
ValueCountFrequency (%)
㎜ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3838
68.9%
Common 1251
 
22.5%
Latin 477
 
8.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 97
 
2.5%
스 82
 
2.1%
발 79
 
2.1%
용 79
 
2.1%
이 78
 
2.0%
개 72
 
1.9%
전 62
 
1.6%
시 62
 
1.6%
한 61
 
1.6%
장 58
 
1.5%
Other values (411) 3108
81.0%
Latin
ValueCountFrequency (%)
e 28
 
5.9%
S 24
 
5.0%
D 23
 
4.8%
t 23
 
4.8%
E 21
 
4.4%
C 20
 
4.2%
L 18
 
3.8%
o 18
 
3.8%
P 18
 
3.8%
a 17
 
3.6%
Other values (37) 267
56.0%
Common
ValueCountFrequency (%)
1025
81.9%
( 32
 
2.6%
) 32
 
2.6%
0 28
 
2.2%
1 22
 
1.8%
, 20
 
1.6%
- 13
 
1.0%
2 12
 
1.0%
/ 11
 
0.9%
. 10
 
0.8%
Other values (15) 46
 
3.7%
Han
ValueCountFrequency (%)
低 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3836
68.9%
ASCII 1720
30.9%
CJK Compat 4
 
0.1%
None 4
 
0.1%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1025
59.6%
( 32
 
1.9%
) 32
 
1.9%
e 28
 
1.6%
0 28
 
1.6%
S 24
 
1.4%
D 23
 
1.3%
t 23
 
1.3%
1 22
 
1.3%
E 21
 
1.2%
Other values (59) 462
26.9%
Hangul
ValueCountFrequency (%)
기 97
 
2.5%
스 82
 
2.1%
발 79
 
2.1%
용 79
 
2.1%
이 78
 
2.0%
개 72
 
1.9%
전 62
 
1.6%
시 62
 
1.6%
한 61
 
1.6%
장 58
 
1.5%
Other values (409) 3106
81.0%
CJK Compat
ValueCountFrequency (%)
㎜ 4
100.0%
None
ValueCountFrequency (%)
× 3
75.0%
· 1
 
25.0%
CJK
ValueCountFrequency (%)
低 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
50.0%
ㄷ 1
50.0%

업체명
Text

Distinct173
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T18:42:31.236487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.5688889
Min length2

Characters and Unicode

Total characters1703
Distinct characters208
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)62.7%

Sample

1st row화승전기
2nd row중앙아스콘㈜
3rd row중앙아스콘㈜
4th row제닉스윈㈜
5th row제닉스윈㈜
ValueCountFrequency (%)
주식회사 47
 
16.8%
주)신창산업 13
 
4.7%
주)씨애치씨랩 4
 
1.4%
케이맥(주 3
 
1.1%
삼진정밀 3
 
1.1%
원텍(주 3
 
1.1%
주)레딕스 3
 
1.1%
주)중앙알텍 3
 
1.1%
성한 3
 
1.1%
지티사이언 3
 
1.1%
Other values (167) 194
69.5%
2023-12-12T18:42:31.686321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 189
 
11.1%
) 130
 
7.6%
( 129
 
7.6%
이 73
 
4.3%
사 62
 
3.6%
스 60
 
3.5%
식 59
 
3.5%
회 59
 
3.5%
54
 
3.2%
에 43
 
2.5%
Other values (198) 845
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1367
80.3%
Close Punctuation 130
 
7.6%
Open Punctuation 129
 
7.6%
Space Separator 54
 
3.2%
Other Symbol 10
 
0.6%
Uppercase Letter 10
 
0.6%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 189
 
13.8%
이 73
 
5.3%
사 62
 
4.5%
스 60
 
4.4%
식 59
 
4.3%
회 59
 
4.3%
에 43
 
3.1%
아 27
 
2.0%
텍 25
 
1.8%
티 24
 
1.8%
Other values (186) 746
54.6%
Uppercase Letter
ValueCountFrequency (%)
J 2
20.0%
Y 2
20.0%
O 2
20.0%
S 1
10.0%
E 1
10.0%
L 1
10.0%
K 1
10.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1377
80.9%
Common 316
 
18.6%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 189
 
13.7%
이 73
 
5.3%
사 62
 
4.5%
스 60
 
4.4%
식 59
 
4.3%
회 59
 
4.3%
에 43
 
3.1%
아 27
 
2.0%
텍 25
 
1.8%
티 24
 
1.7%
Other values (187) 756
54.9%
Latin
ValueCountFrequency (%)
J 2
20.0%
Y 2
20.0%
O 2
20.0%
S 1
10.0%
E 1
10.0%
L 1
10.0%
K 1
10.0%
Common
ValueCountFrequency (%)
) 130
41.1%
( 129
40.8%
54
17.1%
. 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1367
80.3%
ASCII 326
 
19.1%
None 10
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 189
 
13.8%
이 73
 
5.3%
사 62
 
4.5%
스 60
 
4.4%
식 59
 
4.3%
회 59
 
4.3%
에 43
 
3.1%
아 27
 
2.0%
텍 25
 
1.8%
티 24
 
1.8%
Other values (186) 746
54.6%
ASCII
ValueCountFrequency (%)
) 130
39.9%
( 129
39.6%
54
16.6%
. 3
 
0.9%
J 2
 
0.6%
Y 2
 
0.6%
O 2
 
0.6%
S 1
 
0.3%
E 1
 
0.3%
L 1
 
0.3%
None
ValueCountFrequency (%)
㈜ 10
100.0%

전화번호
Text

MISSING 

Distinct146
Distinct (%)81.6%
Missing46
Missing (%)20.4%
Memory size1.9 KiB
2023-12-12T18:42:31.963428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.100559
Min length11

Characters and Unicode

Total characters2166
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)67.6%

Sample

1st row042-283-2830
2nd row042-633-0160
3rd row042-633-0160
4th row042-483-8857
5th row042-483-8857
ValueCountFrequency (%)
042-672-3600 5
 
2.8%
042-720-3373 4
 
2.2%
042-934-6800 4
 
2.2%
042-638-8045 3
 
1.7%
042-936-4520 3
 
1.7%
042-930-3800 3
 
1.7%
042-636-6339 2
 
1.1%
042-863-0551 2
 
1.1%
070-5216-4746 2
 
1.1%
042-633-9500 2
 
1.1%
Other values (135) 149
83.2%
2023-12-12T18:42:32.397211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 358
16.5%
0 355
16.4%
4 286
13.2%
2 278
12.8%
3 180
8.3%
6 141
 
6.5%
8 140
 
6.5%
5 122
 
5.6%
7 116
 
5.4%
1 101
 
4.7%
Other values (2) 89
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1805
83.3%
Dash Punctuation 358
 
16.5%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 355
19.7%
4 286
15.8%
2 278
15.4%
3 180
10.0%
6 141
 
7.8%
8 140
 
7.8%
5 122
 
6.8%
7 116
 
6.4%
1 101
 
5.6%
9 86
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 358
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 358
16.5%
0 355
16.4%
4 286
13.2%
2 278
12.8%
3 180
8.3%
6 141
 
6.5%
8 140
 
6.5%
5 122
 
5.6%
7 116
 
5.4%
1 101
 
4.7%
Other values (2) 89
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 358
16.5%
0 355
16.4%
4 286
13.2%
2 278
12.8%
3 180
8.3%
6 141
 
6.5%
8 140
 
6.5%
5 122
 
5.6%
7 116
 
5.4%
1 101
 
4.7%
Other values (2) 89
 
4.1%

주소
Text

Distinct181
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T18:42:32.737979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length30.382222
Min length16

Characters and Unicode

Total characters6836
Distinct characters216
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)68.0%

Sample

1st row대전광역시 동구 신기로 101번길 21(가오동)
2nd row대전광역시 중구 단재로 378-47(어남동)
3rd row대전광역시 중구 단재로 378-47(어남동)
4th row대전광역시 유성구 테크노2로 187 429호(용산동, 미건테크노월드2차)
5th row대전광역시 유성구 테크노2로 187 429호(용산동, 미건테크노월드2차)
ValueCountFrequency (%)
대전광역시 225
 
17.5%
유성구 146
 
11.4%
서구 38
 
3.0%
대덕구 32
 
2.5%
테크노2로 30
 
2.3%
용산동 16
 
1.2%
테크노3로 14
 
1.1%
만년동 14
 
1.1%
둔산대로117번길 14
 
1.1%
골드벤처타워 13
 
1.0%
Other values (396) 742
57.8%
2023-12-12T18:42:33.260947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1100
 
16.1%
대 349
 
5.1%
1 276
 
4.0%
전 238
 
3.5%
구 234
 
3.4%
광 230
 
3.4%
시 228
 
3.3%
역 226
 
3.3%
로 200
 
2.9%
2 196
 
2.9%
Other values (206) 3559
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4024
58.9%
Decimal Number 1249
 
18.3%
Space Separator 1100
 
16.1%
Open Punctuation 134
 
2.0%
Close Punctuation 134
 
2.0%
Dash Punctuation 88
 
1.3%
Other Punctuation 65
 
1.0%
Uppercase Letter 41
 
0.6%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 349
 
8.7%
전 238
 
5.9%
구 234
 
5.8%
광 230
 
5.7%
시 228
 
5.7%
역 226
 
5.6%
로 200
 
5.0%
성 171
 
4.2%
동 160
 
4.0%
유 158
 
3.9%
Other values (177) 1830
45.5%
Uppercase Letter
ValueCountFrequency (%)
T 13
31.7%
I 6
14.6%
A 5
 
12.2%
N 4
 
9.8%
K 4
 
9.8%
S 3
 
7.3%
C 2
 
4.9%
L 1
 
2.4%
E 1
 
2.4%
F 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 276
22.1%
2 196
15.7%
3 134
10.7%
0 120
9.6%
6 105
 
8.4%
5 104
 
8.3%
4 92
 
7.4%
7 84
 
6.7%
9 71
 
5.7%
8 67
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 63
96.9%
/ 1
 
1.5%
， 1
 
1.5%
Space Separator
ValueCountFrequency (%)
1100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4024
58.9%
Common 2770
40.5%
Latin 42
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 349
 
8.7%
전 238
 
5.9%
구 234
 
5.8%
광 230
 
5.7%
시 228
 
5.7%
역 226
 
5.6%
로 200
 
5.0%
성 171
 
4.2%
동 160
 
4.0%
유 158
 
3.9%
Other values (177) 1830
45.5%
Common
ValueCountFrequency (%)
1100
39.7%
1 276
 
10.0%
2 196
 
7.1%
3 134
 
4.8%
( 134
 
4.8%
) 134
 
4.8%
0 120
 
4.3%
6 105
 
3.8%
5 104
 
3.8%
4 92
 
3.3%
Other values (7) 375
 
13.5%
Latin
ValueCountFrequency (%)
T 13
31.0%
I 6
14.3%
A 5
 
11.9%
N 4
 
9.5%
K 4
 
9.5%
S 3
 
7.1%
C 2
 
4.8%
L 1
 
2.4%
E 1
 
2.4%
F 1
 
2.4%
Other values (2) 2
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4024
58.9%
ASCII 2811
41.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1100
39.1%
1 276
 
9.8%
2 196
 
7.0%
3 134
 
4.8%
( 134
 
4.8%
) 134
 
4.8%
0 120
 
4.3%
6 105
 
3.7%
5 104
 
3.7%
4 92
 
3.3%
Other values (18) 416
 
14.8%
Hangul
ValueCountFrequency (%)
대 349
 
8.7%
전 238
 
5.9%
구 234
 
5.8%
광 230
 
5.7%
시 228
 
5.7%
역 226
 
5.6%
로 200
 
5.0%
성 171
 
4.2%
동 160
 
4.0%
유 158
 
3.9%
Other values (177) 1830
45.5%
None
ValueCountFrequency (%)
， 1
100.0%

인증일자
Date

MISSING 

Distinct130
Distinct (%)61.0%
Missing12
Missing (%)5.3%
Memory size1.9 KiB
Minimum2014-10-31 00:00:00
Maximum2020-06-03 00:00:00
2023-12-12T18:42:33.507314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:42:33.649875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

만료일자
Date

MISSING 

Distinct125
Distinct (%)58.7%
Missing12
Missing (%)5.3%
Memory size1.9 KiB
Minimum2020-07-02 00:00:00
Maximum2023-06-02 00:00:00
2023-12-12T18:42:33.827676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:42:33.997110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T18:42:28.804068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:42:28.979162image/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.
2023-12-12T18:42:29.114516image/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

인증구분인증번호인증제품명업체명전화번호주소인증일자만료일자
0NET42979상하부 가스(BHT)농도 측정에 의한 배전반 화재와 침수 징후 감지 기술화승전기042-283-2830대전광역시 동구 신기로 101번길 21(가오동)2017-08-162022-08-15
1NET523골재 상호 충돌형 임팩트 파쇄기를 활용한 콘크리트용 순환 굵은골재 및 잔골재 생산기술중앙아스콘㈜042-633-0160대전광역시 중구 단재로 378-47(어남동)2017-04-072022-04-06
2NET222골재 상호 충돌형 임팩트 파쇄기를 활용한 콘크리트용 순환 굵은골재 및 잔골재 생산기술중앙아스콘㈜042-633-0160대전광역시 중구 단재로 378-47(어남동)2017-04-072022-04-06
3NET100전원설비에 유입되는 이상전류(낙뢰, 누전, 정전) 감지 및 통보 기술제닉스윈㈜042-483-8857대전광역시 유성구 테크노2로 187 429호(용산동, 미건테크노월드2차)2015-10-232020-10-22
4NET101낙뢰 등에 따른 유도전압에 의한 오작동 방지 누전차단 기술제닉스윈㈜042-483-8857대전광역시 유성구 테크노2로 187 429호(용산동, 미건테크노월드2차)2015-10-232020-10-22
5NET481저온플라즈마 생성물(수산화이온 라디칼)과 다공성 소재를 이용한 악취(암모니아, 황화수소) 제거 기술(주)이에스티042-936-0906대전광역시 유성구 테크노2로 187, 316호2015-10-052020-10-04
6NEPNEP-MOTIE-2019-045사이클로덱스트린으로부터 PFTA 및 TmMT 효소를 이용하여 제조된 말토올리고당 표준품(중합도 3~15, 순도 80% 이상)(주)카보엑스퍼트042-821-8932대전광역시 유성구 대학로 992019-06-202022-06-19
7NEPNEP-MOTIE-2018-004방수 및 방습용 이중구조 수도계량기 영상촬영장치(주)위캡070-7835-7451대전광역시 유성구 테크노3로 492018-07-202021-07-19
8NEPNEP-MOTIE-2014-003엠보싱에 의한 강성향상 리프ㄷ형 강재(C형강재)(최대 H: 100㎜×A: 50㎜×C: 15㎜×T: 2㎜)(주)대동강업042-625-2111대전광역시 대덕구 오정로 77번길 762018-07-202021-07-19
9우수조달2019268경량단열블록(주)에이티042-472-5592대전광역시 유성구 가정로 152-0 (장동) 3연구동 411호2019-12-302022-12-29
인증구분인증번호인증제품명업체명전화번호주소인증일자만료일자
215민ㆍ관공동투자S2363981차세대 FPD용 고성능 SR 측정 자동화 시스템 개발케이맥(주)042-930-3800대전광역시 유성구 용산동 554번지2017-08-242020-08-23
216구매조건부S2342187스마트 윈도우 제조용 Sputter 개발(주)브이앤아이솔루션042-863-4760대전광역시 유성구 대학로 291 한국과학기술원 나노종합기술원 816호2017-08-222020-08-21
217민ㆍ관공동투자S2357184지상변압기 권선 고장 활선 점검 장치 개발씨앤씨에이드(주)042-863-0551대전광역시 유성구 테크노2로 186-2 (주)명성정밀2017-08-222020-08-21
218민ㆍ관공동투자S2363603유리의 고온물성평가장비개발 및 고온물성 Data 정립(주)알앤비042-935-0490대전광역시 유성구 용산동 5402017-08-222020-08-21
219녹색기술제품GTP-17-00419LED 실외조명등(주)레딕스<NA>대전광역시 대덕구 문평서로 8-24 (문평동, (주)레딕스) 레딕스2017-03-232023-03-22
220녹색기술제품GTP-17-00427유해가스 정화장치(주)랩죤<NA>대전광역시 대덕구 대화동 1-54 6층 (봉명동, 매드진빌딩)2017-03-232022-03-09
221녹색기술제품GTP-17-00372열교차단구조가 있는 단열미서기창(금속제창)(주)신창산업<NA>대전광역시 서구 둔산대로117번길 66 (만년동) 골드벤처타워 201-12017-01-202022-11-30
222녹색기술제품GTP-16-00302열교차단구조가 있는 단열미서기창(금속제창)(주)신창산업<NA>대전광역시 서구 둔산대로117번길 66 (만년동) 골드벤처타워 201-12016-12-012022-11-30
223녹색기술제품GTP-16-00245열관류율이 향상된 창세트(주)신창산업<NA>대전광역시 서구 둔산대로117번길 66 (만년동) 골드벤처타워 201-12016-09-062022-09-05
224공동상표물품2015005-12빌딩자동제어장치에스텍아이앤씨㈜042-487-2421대전광역시 유성구 테크노2로 187 미건테크노월드2차 C동 419호2015-12-222021-12-21