Overview

Dataset statistics

Number of variables8
Number of observations1072
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.3 KiB
Average record size in memory67.1 B

Variable types

Categorical1
Numeric3
DateTime1
Text3

Dataset

Description* 공공구매종합정보망 (중소기업유통센터) 개방 목록* 기술개발제품 중 하나인 성능인증확인서를 발급받은 중소기업 및 인증품목 현황* 구성 (소재지,업체명,주소,인증제품명,인증일자,만료일자)
Author중소벤처기업부
URLhttps://www.data.go.kr/data/15001979/fileData.do

Alerts

신청번호 is highly overall correlated with 차수High correlation
차수 is highly overall correlated with 신청번호High correlation
신청번호 has unique valuesUnique
신청품목 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:37:28.240812
Analysis finished2023-12-23 07:37:38.345629
Duration10.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신청구분
Categorical

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
신규
585 
연장신청
276 
정보변경
101 
규격추가
64 
공장주소변경
 
28
Other values (4)
 
18

Length

Max length9
Median length2
Mean length3.0027985
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 585
54.6%
연장신청 276
25.7%
정보변경 101
 
9.4%
규격추가 64
 
6.0%
공장주소변경 28
 
2.6%
연장신청+규격추가 9
 
0.8%
포괄양도양수 3
 
0.3%
공장추가 3
 
0.3%
양도 3
 
0.3%

Length

2023-12-23T07:37:38.921409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:37:39.798979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 585
54.6%
연장신청 276
25.7%
정보변경 101
 
9.4%
규격추가 64
 
6.0%
공장주소변경 28
 
2.6%
연장신청+규격추가 9
 
0.8%
포괄양도양수 3
 
0.3%
공장추가 3
 
0.3%
양도 3
 
0.3%

신청번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1072
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0206272 × 108
Minimum2.0170069 × 108
Maximum2.0230066 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-23T07:37:40.831310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0170069 × 108
5-th percentile2.0180055 × 108
Q12.0200005 × 108
median2.0210052 × 108
Q32.0220042 × 108
95-th percentile2.0230026 × 108
Maximum2.0230066 × 108
Range599973
Interquartile range (IQR)200361.75

Descriptive statistics

Standard deviation158125.7
Coefficient of variation (CV)0.00078255751
Kurtosis-0.76234753
Mean2.0206272 × 108
Median Absolute Deviation (MAD)100088.5
Skewness-0.4766616
Sum2.1661124 × 1011
Variance2.5003737 × 1010
MonotonicityNot monotonic
2023-12-23T07:37:41.470392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202300663 1
 
0.1%
201800940 1
 
0.1%
202100841 1
 
0.1%
201801082 1
 
0.1%
201801085 1
 
0.1%
201801065 1
 
0.1%
202100898 1
 
0.1%
202100844 1
 
0.1%
202100964 1
 
0.1%
202100878 1
 
0.1%
Other values (1062) 1062
99.1%
ValueCountFrequency (%)
201700690 1
0.1%
201700783 1
0.1%
201700973 1
0.1%
201700982 1
0.1%
201700984 1
0.1%
201700988 1
0.1%
201701015 1
0.1%
201701087 1
0.1%
201701094 1
0.1%
201701096 1
0.1%
ValueCountFrequency (%)
202300663 1
0.1%
202300659 1
0.1%
202300647 1
0.1%
202300640 1
0.1%
202300633 1
0.1%
202300619 1
0.1%
202300618 1
0.1%
202300613 1
0.1%
202300609 1
0.1%
202300603 1
0.1%

차수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8740672
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-23T07:37:42.245968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum12
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3396207
Coefficient of variation (CV)0.71482001
Kurtosis7.876344
Mean1.8740672
Median Absolute Deviation (MAD)0
Skewness2.334395
Sum2009
Variance1.7945836
MonotonicityNot monotonic
2023-12-23T07:37:42.937186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 591
55.1%
2 248
23.1%
3 119
 
11.1%
4 59
 
5.5%
5 30
 
2.8%
6 11
 
1.0%
7 8
 
0.7%
9 3
 
0.3%
8 1
 
0.1%
12 1
 
0.1%
ValueCountFrequency (%)
1 591
55.1%
2 248
23.1%
3 119
 
11.1%
4 59
 
5.5%
5 30
 
2.8%
6 11
 
1.0%
7 8
 
0.7%
8 1
 
0.1%
9 3
 
0.3%
10 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
10 1
 
0.1%
9 3
 
0.3%
8 1
 
0.1%
7 8
 
0.7%
6 11
 
1.0%
5 30
 
2.8%
4 59
 
5.5%
3 119
11.1%
2 248
23.1%
Distinct393
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2020-11-12 00:00:00
Maximum2023-12-08 00:00:00
2023-12-23T07:37:43.514696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:45.061549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업자등록번호
Real number (ℝ)

Distinct930
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1506781 × 109
Minimum1.0181459 × 109
Maximum8.9287011 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-23T07:37:46.225378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0181459 × 109
5-th percentile1.098646 × 109
Q11.2986518 × 109
median2.1881114 × 109
Q35.0306781 × 109
95-th percentile7.0092561 × 109
Maximum8.9287011 × 109
Range7.9105552 × 109
Interquartile range (IQR)3.7320263 × 109

Descriptive statistics

Standard deviation2.1260377 × 109
Coefficient of variation (CV)0.67478734
Kurtosis-0.55708216
Mean3.1506781 × 109
Median Absolute Deviation (MAD)9.6994183 × 108
Skewness0.80564332
Sum3.377527 × 1012
Variance4.5200365 × 1018
MonotonicityNot monotonic
2023-12-23T07:37:47.287185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1248146728 9
 
0.8%
2068624619 5
 
0.5%
5018700130 4
 
0.4%
1278157904 4
 
0.4%
1138132146 4
 
0.4%
6158157997 4
 
0.4%
6218140787 4
 
0.4%
2118765244 4
 
0.4%
2208133424 3
 
0.3%
1368110107 3
 
0.3%
Other values (920) 1028
95.9%
ValueCountFrequency (%)
1018145916 1
0.1%
1018628697 1
0.1%
1048113863 1
0.1%
1058176600 1
0.1%
1058198360 1
0.1%
1058605740 1
0.1%
1058665689 1
0.1%
1058713887 1
0.1%
1058750335 1
0.1%
1068144213 1
0.1%
ValueCountFrequency (%)
8928701146 1
0.1%
8878702838 1
0.1%
8838701778 1
0.1%
8838101306 2
0.2%
8818801236 2
0.2%
8748701721 1
0.1%
8688100540 1
0.1%
8628701602 1
0.1%
8598801734 1
0.1%
8578600074 1
0.1%
Distinct927
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-23T07:37:48.661950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length21
Mean length8.2425373
Min length2

Characters and Unicode

Total characters8836
Distinct characters422
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

Unique820 ?
Unique (%)76.5%

Sample

1st row(주)컴텔싸인
2nd row사단법인 햇살
3rd row(유) 중앙강재
4th row(주)서해씨엔씨
5th row주식회사 미도플러스
ValueCountFrequency (%)
주식회사 264
 
19.1%
27
 
1.9%
주)동일캔바스엔지니어링 9
 
0.6%
주)에코원테크놀로지 5
 
0.4%
주)유성엔지니어링 4
 
0.3%
주)신일세라믹스 4
 
0.3%
에취켓 4
 
0.3%
우성네이처 4
 
0.3%
주)우리기술 4
 
0.3%
주)남동인덱스 4
 
0.3%
Other values (936) 1056
76.2%
2023-12-23T07:37:51.461497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1013
 
11.5%
) 711
 
8.0%
( 709
 
8.0%
331
 
3.7%
316
 
3.6%
315
 
3.6%
313
 
3.5%
309
 
3.5%
240
 
2.7%
170
 
1.9%
Other values (412) 4409
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6985
79.1%
Close Punctuation 711
 
8.0%
Open Punctuation 709
 
8.0%
Space Separator 315
 
3.6%
Uppercase Letter 62
 
0.7%
Lowercase Letter 32
 
0.4%
Other Punctuation 16
 
0.2%
Decimal Number 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1013
 
14.5%
331
 
4.7%
316
 
4.5%
313
 
4.5%
309
 
4.4%
240
 
3.4%
170
 
2.4%
168
 
2.4%
135
 
1.9%
109
 
1.6%
Other values (370) 3881
55.6%
Uppercase Letter
ValueCountFrequency (%)
C 10
16.1%
E 7
11.3%
L 5
 
8.1%
T 5
 
8.1%
O 5
 
8.1%
I 4
 
6.5%
S 3
 
4.8%
N 3
 
4.8%
K 3
 
4.8%
M 3
 
4.8%
Other values (8) 14
22.6%
Lowercase Letter
ValueCountFrequency (%)
n 5
15.6%
t 5
15.6%
o 5
15.6%
r 3
9.4%
i 2
 
6.2%
d 2
 
6.2%
l 2
 
6.2%
a 2
 
6.2%
e 2
 
6.2%
u 1
 
3.1%
Other values (3) 3
9.4%
Other Punctuation
ValueCountFrequency (%)
. 11
68.8%
· 2
 
12.5%
, 2
 
12.5%
& 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 711
100.0%
Open Punctuation
ValueCountFrequency (%)
( 709
100.0%
Space Separator
ValueCountFrequency (%)
315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6986
79.1%
Common 1756
 
19.9%
Latin 94
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1013
 
14.5%
331
 
4.7%
316
 
4.5%
313
 
4.5%
309
 
4.4%
240
 
3.4%
170
 
2.4%
168
 
2.4%
135
 
1.9%
109
 
1.6%
Other values (371) 3882
55.6%
Latin
ValueCountFrequency (%)
C 10
 
10.6%
E 7
 
7.4%
n 5
 
5.3%
L 5
 
5.3%
T 5
 
5.3%
t 5
 
5.3%
o 5
 
5.3%
O 5
 
5.3%
I 4
 
4.3%
S 3
 
3.2%
Other values (21) 40
42.6%
Common
ValueCountFrequency (%)
) 711
40.5%
( 709
40.4%
315
17.9%
. 11
 
0.6%
- 2
 
0.1%
· 2
 
0.1%
1 2
 
0.1%
, 2
 
0.1%
& 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6985
79.1%
ASCII 1848
 
20.9%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1013
 
14.5%
331
 
4.7%
316
 
4.5%
313
 
4.5%
309
 
4.4%
240
 
3.4%
170
 
2.4%
168
 
2.4%
135
 
1.9%
109
 
1.6%
Other values (370) 3881
55.6%
ASCII
ValueCountFrequency (%)
) 711
38.5%
( 709
38.4%
315
17.0%
. 11
 
0.6%
C 10
 
0.5%
E 7
 
0.4%
n 5
 
0.3%
L 5
 
0.3%
T 5
 
0.3%
t 5
 
0.3%
Other values (30) 65
 
3.5%
None
ValueCountFrequency (%)
· 2
66.7%
1
33.3%

신청품목
Text

UNIQUE 

Distinct1072
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-23T07:37:52.951112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length66
Mean length29.599813
Min length4

Characters and Unicode

Total characters31731
Distinct characters702
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1072 ?
Unique (%)100.0%

Sample

1st row출력화면 자동제어 기능과 주변환경에 따라 능동적으로 대응하는 LED전광판
2nd row수직선 벡터를 이용한 CCTV 영상보정 및 재난경보 시스템
3rd row태양광 금속기와 발전장치
4th row수중 및 해상 콘크리트 및 강재 구조물의 염해 및 부식방지 코팅재
5th row항바이러스 효과 및 내구성이 우수한 인조잔디 시스템
ValueCountFrequency (%)
269
 
3.8%
적용한 162
 
2.3%
이용한 95
 
1.3%
시스템 86
 
1.2%
기술을 66
 
0.9%
갖는 64
 
0.9%
적용된 63
 
0.9%
가능한 62
 
0.9%
향상된 50
 
0.7%
기능을 43
 
0.6%
Other values (3950) 6175
86.5%
2023-12-23T07:37:55.588337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6115
 
19.3%
650
 
2.0%
644
 
2.0%
620
 
2.0%
539
 
1.7%
452
 
1.4%
451
 
1.4%
387
 
1.2%
384
 
1.2%
361
 
1.1%
Other values (692) 21128
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23927
75.4%
Space Separator 6115
 
19.3%
Uppercase Letter 770
 
2.4%
Lowercase Letter 291
 
0.9%
Other Punctuation 197
 
0.6%
Open Punctuation 133
 
0.4%
Close Punctuation 133
 
0.4%
Decimal Number 110
 
0.3%
Dash Punctuation 41
 
0.1%
Control 4
 
< 0.1%
Other values (5) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
650
 
2.7%
644
 
2.7%
620
 
2.6%
539
 
2.3%
452
 
1.9%
451
 
1.9%
387
 
1.6%
384
 
1.6%
361
 
1.5%
361
 
1.5%
Other values (612) 19078
79.7%
Uppercase Letter
ValueCountFrequency (%)
D 71
 
9.2%
P 70
 
9.1%
E 69
 
9.0%
C 65
 
8.4%
S 60
 
7.8%
L 57
 
7.4%
T 54
 
7.0%
I 49
 
6.4%
M 37
 
4.8%
V 32
 
4.2%
Other values (16) 206
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 45
15.5%
o 31
10.7%
a 25
 
8.6%
n 25
 
8.6%
t 22
 
7.6%
i 18
 
6.2%
l 15
 
5.2%
r 15
 
5.2%
m 14
 
4.8%
y 12
 
4.1%
Other values (15) 69
23.7%
Decimal Number
ValueCountFrequency (%)
3 29
26.4%
0 26
23.6%
2 17
15.5%
1 14
12.7%
5 8
 
7.3%
4 5
 
4.5%
8 4
 
3.6%
6 3
 
2.7%
7 2
 
1.8%
9 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 122
61.9%
/ 30
 
15.2%
. 22
 
11.2%
· 13
 
6.6%
% 3
 
1.5%
" 3
 
1.5%
: 2
 
1.0%
& 2
 
1.0%
Other Symbol
ValueCountFrequency (%)
1
50.0%
° 1
50.0%
Space Separator
ValueCountFrequency (%)
6115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23927
75.4%
Common 6743
 
21.3%
Latin 1061
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
650
 
2.7%
644
 
2.7%
620
 
2.6%
539
 
2.3%
452
 
1.9%
451
 
1.9%
387
 
1.6%
384
 
1.6%
361
 
1.5%
361
 
1.5%
Other values (612) 19078
79.7%
Latin
ValueCountFrequency (%)
D 71
 
6.7%
P 70
 
6.6%
E 69
 
6.5%
C 65
 
6.1%
S 60
 
5.7%
L 57
 
5.4%
T 54
 
5.1%
I 49
 
4.6%
e 45
 
4.2%
M 37
 
3.5%
Other values (41) 484
45.6%
Common
ValueCountFrequency (%)
6115
90.7%
( 133
 
2.0%
) 133
 
2.0%
, 122
 
1.8%
- 41
 
0.6%
/ 30
 
0.4%
3 29
 
0.4%
0 26
 
0.4%
. 22
 
0.3%
2 17
 
0.3%
Other values (19) 75
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23923
75.4%
ASCII 7784
 
24.5%
None 14
 
< 0.1%
Punctuation 5
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6115
78.6%
( 133
 
1.7%
) 133
 
1.7%
, 122
 
1.6%
D 71
 
0.9%
P 70
 
0.9%
E 69
 
0.9%
C 65
 
0.8%
S 60
 
0.8%
L 57
 
0.7%
Other values (65) 889
 
11.4%
Hangul
ValueCountFrequency (%)
650
 
2.7%
644
 
2.7%
620
 
2.6%
539
 
2.3%
452
 
1.9%
451
 
1.9%
387
 
1.6%
384
 
1.6%
361
 
1.5%
361
 
1.5%
Other values (609) 19074
79.7%
None
ValueCountFrequency (%)
· 13
92.9%
° 1
 
7.1%
Punctuation
ValueCountFrequency (%)
3
60.0%
2
40.0%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct483
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-23T07:37:56.568432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters24656
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)23.1%

Sample

1st row2023-11-30 ~ 2026-11-29
2nd row2023-11-30 ~ 2026-11-29
3rd row2023-11-30 ~ 2026-11-29
4th row2023-11-30 ~ 2026-11-29
5th row2023-11-30 ~ 2026-11-29
ValueCountFrequency (%)
1072
33.3%
2021-12-08 18
 
0.6%
2024-12-07 18
 
0.6%
2023-02-17 13
 
0.4%
2026-02-16 13
 
0.4%
2021-07-28 11
 
0.3%
2024-07-27 11
 
0.3%
2022-12-01 10
 
0.3%
2025-11-30 10
 
0.3%
2022-11-09 10
 
0.3%
Other values (925) 2030
63.1%
2023-12-23T07:37:58.133811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6044
24.5%
0 4743
19.2%
- 4288
17.4%
1 2194
 
8.9%
2144
 
8.7%
~ 1072
 
4.3%
3 867
 
3.5%
5 780
 
3.2%
4 776
 
3.1%
6 542
 
2.2%
Other values (3) 1206
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17152
69.6%
Dash Punctuation 4288
 
17.4%
Space Separator 2144
 
8.7%
Math Symbol 1072
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6044
35.2%
0 4743
27.7%
1 2194
 
12.8%
3 867
 
5.1%
5 780
 
4.5%
4 776
 
4.5%
6 542
 
3.2%
8 433
 
2.5%
9 390
 
2.3%
7 383
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 4288
100.0%
Space Separator
ValueCountFrequency (%)
2144
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1072
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6044
24.5%
0 4743
19.2%
- 4288
17.4%
1 2194
 
8.9%
2144
 
8.7%
~ 1072
 
4.3%
3 867
 
3.5%
5 780
 
3.2%
4 776
 
3.1%
6 542
 
2.2%
Other values (3) 1206
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6044
24.5%
0 4743
19.2%
- 4288
17.4%
1 2194
 
8.9%
2144
 
8.7%
~ 1072
 
4.3%
3 867
 
3.5%
5 780
 
3.2%
4 776
 
3.1%
6 542
 
2.2%
Other values (3) 1206
 
4.9%

Interactions

2023-12-23T07:37:35.475868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:31.276784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:32.773363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:36.103951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:31.766953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:34.344348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:36.752047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:32.226031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:34.827419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:37:58.598514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청구분신청번호차수사업자등록번호
신청구분1.0000.5820.4410.136
신청번호0.5821.0000.4790.000
차수0.4410.4791.0000.000
사업자등록번호0.1360.0000.0001.000
2023-12-23T07:37:59.025682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청번호차수사업자등록번호신청구분
신청번호1.000-0.681-0.0020.333
차수-0.6811.000-0.0000.218
사업자등록번호-0.002-0.0001.0000.062
신청구분0.3330.2180.0621.000

Missing values

2023-12-23T07:37:37.421327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:37:38.176312image/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

신청구분신청번호차수발급일자사업자등록번호업체명신청품목유효기간
0신규20230066312023-11-301098154549(주)컴텔싸인출력화면 자동제어 기능과 주변환경에 따라 능동적으로 대응하는 LED전광판2023-11-30 ~ 2026-11-29
1신규20230064012023-11-303128219408사단법인 햇살수직선 벡터를 이용한 CCTV 영상보정 및 재난경보 시스템2023-11-30 ~ 2026-11-29
2신규20230063312023-11-304038117204(유) 중앙강재태양광 금속기와 발전장치2023-11-30 ~ 2026-11-29
3신규20230055812023-11-301218127208(주)서해씨엔씨수중 및 해상 콘크리트 및 강재 구조물의 염해 및 부식방지 코팅재2023-11-30 ~ 2026-11-29
4신규20230051212023-11-303588100121주식회사 미도플러스항바이러스 효과 및 내구성이 우수한 인조잔디 시스템2023-11-30 ~ 2026-11-29
5신규20230050012023-11-301248146728(주)동일캔바스엔지니어링부력식 스컴 스키머가 적용된 슬러지수집기2023-11-30 ~ 2026-11-29
6신규20230049812023-11-301248146728(주)동일캔바스엔지니어링고정링 커버를 적용한 다중원판탈수기2023-11-30 ~ 2026-11-29
7연장신청20200062152023-11-091378642266원진기계 주식회사하폐수처리장에서 발생되는 슬러지와 응집제 혼합을 균일하게 공급하는 원심분리기2023-11-27 ~ 2026-11-26
8신규20230065912023-11-231378146966대한폴리텍(주)소수성이 향상된 무기 난연제를 이용한 준불연 경질우레탄폼 단열재 (NF보드 PLUS)2023-11-23 ~ 2026-11-22
9신규20230064712023-11-231138158700진명환경산업(주)이동 포스트형 가스홀더2023-11-23 ~ 2026-11-22
신청구분신청번호차수발급일자사업자등록번호업체명신청품목유효기간
1062신규20200053112020-12-101378150515(주)광일체어높이조절이 가능한 요추받침 수단을 갖는 사무용 의자2020-12-10 ~ 2023-12-09
1063정보변경20200056722023-01-114088168519(주)매그나텍복합 방열구조를 적용한 빛공해 저감형 LED 투광등기구2020-12-08 ~ 2023-12-07
1064신규20200058512020-12-086018108293(주)종합해사에어시스템 오리피스 기술을 적용한 원심분리기2020-12-08 ~ 2023-12-07
1065신규20200062512020-12-071148647012(주)에이피엠테크놀러지스T-MF(Time-Modulation Frequency) 분석 기법을 적용한 전력용 변압기 부분방전 상태 감시 장치2020-12-07 ~ 2023-12-06
1066신규20200058912020-12-073148151111(주)엔유높이 조절 가능한 열교차단 지붕패널 제품2020-12-07 ~ 2023-12-06
1067연장신청20170069022021-01-261198101544(주)베스텍부하차단 보호 및 사고확산 방지 기능을 구비한 아크소호 방출형 배전반(고압 배전반,저압 배전반,전동기제어반(MCC),분전반)2020-12-04 ~ 2023-12-03
1068연장신청20170113522020-12-221068624468(주) 아도니스글로벌층간소음저감온돌마루2020-12-04 ~ 2023-12-03
1069규격추가20200055722021-03-162068624619(주)에코원테크놀로지와류 발생형 배플과 증폭형 와이퍼링을 적용한 관로형 자외선 살균기2020-12-02 ~ 2023-12-01
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1071신규20200043612020-12-011368110107(주)부흥시스템조류충돌 방지 투명방음판2020-12-01 ~ 2023-11-30