Overview

Dataset statistics

Number of variables9
Number of observations9816
Missing cells16010
Missing cells (%)18.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory690.3 KiB
Average record size in memory72.0 B

Variable types

Categorical1
Text6
DateTime2

Dataset

Description우선구매제품에 해당되며 공공구매정보망에서 취급하는 19종의 기술개발제품 현황 데이터를 제공합니다. 인증구분, 인증번호, 인증제품명, 업체명, 사업자등록번호, 인증일, 만료일 등을 제공합니다.
Author(주)중소기업유통센터
URLhttps://www.data.go.kr/data/15072183/fileData.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
세부품명번호 has 7781 (79.3%) missing valuesMissing
세부품명 has 7841 (79.9%) missing valuesMissing
인증일자 has 189 (1.9%) missing valuesMissing
만료일자 has 189 (1.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:39:08.431264
Analysis finished2023-12-12 11:39:12.422773
Duration3.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size76.8 KiB
GS
3222 
성능인증
1460 
녹색기술제품
1143 
구매조건부
1097 
우수조달
944 
Other values (12)
1950 

Length

Max length16
Median length14
Mean length4.6158313
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GS 3222
32.8%
성능인증 1460
14.9%
녹색기술제품 1143
 
11.6%
구매조건부 1097
 
11.2%
우수조달 944
 
9.6%
우수디자인상품선정상품 794
 
8.1%
융복합기술개발사업 462
 
4.7%
NET 222
 
2.3%
공동상표물품 144
 
1.5%
NEP 91
 
0.9%
Other values (7) 237
 
2.4%

Length

2023-12-12T20:39:12.568067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
gs 3222
32.5%
성능인증 1460
14.7%
녹색기술제품 1143
 
11.5%
구매조건부 1097
 
11.1%
우수조달 944
 
9.5%
우수디자인상품선정상품 794
 
8.0%
융복합기술개발사업 462
 
4.7%
net 222
 
2.2%
공동상표물품 144
 
1.5%
nep 91
 
0.9%
Other values (11) 346
 
3.5%

인증번호
Text

Distinct9623
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size76.8 KiB
2023-12-12T20:39:13.077888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length10.048798
Min length3

Characters and Unicode

Total characters98639
Distinct characters65
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9514 ?
Unique (%)96.9%

Sample

1st row'2019-4
2nd row'2019-4
3rd row'2019-4
4th row'2019-4
5th row'2019-3
ValueCountFrequency (%)
2018-600 57
 
0.6%
2019-4 4
 
< 0.1%
현장 4
 
< 0.1%
gtp-13-00086 4
 
< 0.1%
529 3
 
< 0.1%
223 3
 
< 0.1%
515 3
 
< 0.1%
2017-3 3
 
< 0.1%
222 3
 
< 0.1%
524 3
 
< 0.1%
Other values (9615) 9737
99.1%
2023-12-12T20:39:13.986691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17721
18.0%
1 12721
12.9%
' 9816
10.0%
2 9322
9.5%
- 8881
9.0%
9 4539
 
4.6%
8 4388
 
4.4%
4 4348
 
4.4%
3 4018
 
4.1%
5 3908
 
4.0%
Other values (55) 18977
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68086
69.0%
Uppercase Letter 10273
 
10.4%
Other Punctuation 9816
 
10.0%
Dash Punctuation 8881
 
9.0%
Other Letter 1297
 
1.3%
Connector Punctuation 264
 
0.3%
Space Separator 10
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 255
19.7%
기 191
14.7%
전 115
8.9%
남 111
8.6%
북 86
 
6.6%
대 82
 
6.3%
충 62
 
4.8%
울 42
 
3.2%
주 40
 
3.1%
광 38
 
2.9%
Other values (19) 275
21.2%
Uppercase Letter
ValueCountFrequency (%)
G 1959
19.1%
S 1624
15.8%
P 1291
12.6%
T 1234
12.0%
A 1083
10.5%
E 540
 
5.3%
Z 532
 
5.2%
D 506
 
4.9%
B 376
 
3.7%
C 324
 
3.2%
Other values (10) 804
7.8%
Decimal Number
ValueCountFrequency (%)
0 17721
26.0%
1 12721
18.7%
2 9322
13.7%
9 4539
 
6.7%
8 4388
 
6.4%
4 4348
 
6.4%
3 4018
 
5.9%
5 3908
 
5.7%
7 3673
 
5.4%
6 3448
 
5.1%
Other Punctuation
ValueCountFrequency (%)
' 9816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8881
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 264
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87069
88.3%
Latin 10273
 
10.4%
Hangul 1297
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 255
19.7%
기 191
14.7%
전 115
8.9%
남 111
8.6%
북 86
 
6.6%
대 82
 
6.3%
충 62
 
4.8%
울 42
 
3.2%
주 40
 
3.1%
광 38
 
2.9%
Other values (19) 275
21.2%
Latin
ValueCountFrequency (%)
G 1959
19.1%
S 1624
15.8%
P 1291
12.6%
T 1234
12.0%
A 1083
10.5%
E 540
 
5.3%
Z 532
 
5.2%
D 506
 
4.9%
B 376
 
3.7%
C 324
 
3.2%
Other values (10) 804
7.8%
Common
ValueCountFrequency (%)
0 17721
20.4%
1 12721
14.6%
' 9816
11.3%
2 9322
10.7%
- 8881
10.2%
9 4539
 
5.2%
8 4388
 
5.0%
4 4348
 
5.0%
3 4018
 
4.6%
5 3908
 
4.5%
Other values (6) 7407
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97342
98.7%
Hangul 1297
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17721
18.2%
1 12721
13.1%
' 9816
10.1%
2 9322
9.6%
- 8881
9.1%
9 4539
 
4.7%
8 4388
 
4.5%
4 4348
 
4.5%
3 4018
 
4.1%
5 3908
 
4.0%
Other values (26) 17680
18.2%
Hangul
ValueCountFrequency (%)
경 255
19.7%
기 191
14.7%
전 115
8.9%
남 111
8.6%
북 86
 
6.6%
대 82
 
6.3%
충 62
 
4.8%
울 42
 
3.2%
주 40
 
3.1%
광 38
 
2.9%
Other values (19) 275
21.2%

인증제품명
Text

Distinct8304
Distinct (%)84.6%
Missing2
Missing (%)< 0.1%
Memory size76.8 KiB
2023-12-12T20:39:14.652979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length585
Median length128
Mean length28.931424
Min length2

Characters and Unicode

Total characters283933
Distinct characters1060
Distinct categories18 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7731 ?
Unique (%)78.8%

Sample

1st row석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템
2nd row석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템
3rd row석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템
4th row석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템
5th row현장타설 크라운 부에 시공을 위한 홈을 갖는 프리캐스트 세그먼트 아치형 피암터널 공법
ValueCountFrequency (%)
v1.0 1403
 
2.7%
개발 1127
 
2.1%
및 1032
 
2.0%
시스템 715
 
1.4%
이용한 487
 
0.9%
system 439
 
0.8%
v2.0 394
 
0.7%
컴퓨터 390
 
0.7%
적용한 383
 
0.7%
위한 283
 
0.5%
Other values (21229) 46242
87.4%
2023-12-12T20:39:15.650807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45092
 
15.9%
. 6409
 
2.3%
0 6149
 
2.2%
e 5912
 
2.1%
v 5532
 
1.9%
1 4438
 
1.6%
스 4092
 
1.4%
r 4010
 
1.4%
t 4001
 
1.4%
a 3918
 
1.4%
Other values (1050) 194380
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133329
47.0%
Lowercase Letter 50993
 
18.0%
Space Separator 45092
 
15.9%
Uppercase Letter 25298
 
8.9%
Decimal Number 15941
 
5.6%
Other Punctuation 7639
 
2.7%
Open Punctuation 2141
 
0.8%
Close Punctuation 2141
 
0.8%
Dash Punctuation 1085
 
0.4%
Other Symbol 99
 
< 0.1%
Other values (8) 175
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 4092
 
3.1%
이 3804
 
2.9%
기 3491
 
2.6%
용 2806
 
2.1%
시 2471
 
1.9%
전 2257
 
1.7%
한 2052
 
1.5%
형 1829
 
1.4%
리 1671
 
1.3%
발 1667
 
1.3%
Other values (921) 107189
80.4%
Uppercase Letter
ValueCountFrequency (%)
S 3232
12.8%
E 1901
 
7.5%
C 1785
 
7.1%
M 1709
 
6.8%
D 1598
 
6.3%
A 1503
 
5.9%
V 1494
 
5.9%
P 1453
 
5.7%
I 1418
 
5.6%
T 1341
 
5.3%
Other values (19) 7864
31.1%
Lowercase Letter
ValueCountFrequency (%)
e 5912
11.6%
v 5532
10.8%
r 4010
 
7.9%
t 4001
 
7.8%
a 3918
 
7.7%
o 3827
 
7.5%
i 3698
 
7.3%
n 3662
 
7.2%
s 2238
 
4.4%
l 2026
 
4.0%
Other values (18) 12169
23.9%
Other Symbol
ValueCountFrequency (%)
㎜ 36
36.4%
™ 19
19.2%
® 9
 
9.1%
㎛ 7
 
7.1%
㎡ 4
 
4.0%
㎠ 3
 
3.0%
℃ 3
 
3.0%
° 3
 
3.0%
㎥ 3
 
3.0%
㎏ 2
 
2.0%
Other values (6) 10
 
10.1%
Other Punctuation
ValueCountFrequency (%)
. 6409
83.9%
, 565
 
7.4%
/ 360
 
4.7%
& 81
 
1.1%
% 60
 
0.8%
· 57
 
0.7%
: 35
 
0.5%
; 27
 
0.4%
' 18
 
0.2%
# 9
 
0.1%
Other values (4) 18
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 6149
38.6%
1 4438
27.8%
2 1801
 
11.3%
3 1230
 
7.7%
5 800
 
5.0%
4 600
 
3.8%
6 343
 
2.2%
7 264
 
1.7%
8 176
 
1.1%
9 140
 
0.9%
Other Number
ValueCountFrequency (%)
² 1
11.1%
₂ 1
11.1%
② 1
11.1%
① 1
11.1%
④ 1
11.1%
⑥ 1
11.1%
⑦ 1
11.1%
⑤ 1
11.1%
③ 1
11.1%
Math Symbol
ValueCountFrequency (%)
+ 29
40.3%
~ 24
33.3%
× 10
 
13.9%
± 5
 
6.9%
≥ 2
 
2.8%
∼ 1
 
1.4%
= 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 2119
99.0%
[ 21
 
1.0%
『 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2119
99.0%
] 21
 
1.0%
』 1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 3
60.0%
” 2
40.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
66.7%
‘ 1
33.3%
Space Separator
ValueCountFrequency (%)
45092
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1085
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 68
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133312
47.0%
Latin 76283
26.9%
Common 74311
26.2%
Han 17
 
< 0.1%
Greek 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 4092
 
3.1%
이 3804
 
2.9%
기 3491
 
2.6%
용 2806
 
2.1%
시 2471
 
1.9%
전 2257
 
1.7%
한 2052
 
1.5%
형 1829
 
1.4%
리 1671
 
1.3%
발 1667
 
1.3%
Other values (904) 107172
80.4%
Common
ValueCountFrequency (%)
45092
60.7%
. 6409
 
8.6%
0 6149
 
8.3%
1 4438
 
6.0%
( 2119
 
2.9%
) 2119
 
2.9%
2 1801
 
2.4%
3 1230
 
1.7%
- 1085
 
1.5%
5 800
 
1.1%
Other values (61) 3069
 
4.1%
Latin
ValueCountFrequency (%)
e 5912
 
7.8%
v 5532
 
7.3%
r 4010
 
5.3%
t 4001
 
5.2%
a 3918
 
5.1%
o 3827
 
5.0%
i 3698
 
4.8%
n 3662
 
4.8%
S 3232
 
4.2%
s 2238
 
2.9%
Other values (46) 36253
47.5%
Han
ValueCountFrequency (%)
非 1
 
5.9%
多 1
 
5.9%
中 1
 
5.9%
低 1
 
5.9%
價 1
 
5.9%
倒 1
 
5.9%
壞 1
 
5.9%
藥 1
 
5.9%
異 1
 
5.9%
面 1
 
5.9%
Other values (7) 7
41.2%
Greek
ValueCountFrequency (%)
Φ 6
60.0%
Ω 4
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150393
53.0%
Hangul 133300
46.9%
None 104
 
< 0.1%
CJK Compat 65
 
< 0.1%
Letterlike Symbols 22
 
< 0.1%
CJK 17
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Punctuation 8
 
< 0.1%
Enclosed Alphanum 7
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45092
30.0%
. 6409
 
4.3%
0 6149
 
4.1%
e 5912
 
3.9%
v 5532
 
3.7%
1 4438
 
3.0%
r 4010
 
2.7%
t 4001
 
2.7%
a 3918
 
2.6%
o 3827
 
2.5%
Other values (77) 61105
40.6%
Hangul
ValueCountFrequency (%)
스 4092
 
3.1%
이 3804
 
2.9%
기 3491
 
2.6%
용 2806
 
2.1%
시 2471
 
1.9%
전 2257
 
1.7%
한 2052
 
1.5%
형 1829
 
1.4%
리 1671
 
1.3%
발 1667
 
1.3%
Other values (902) 107160
80.4%
None
ValueCountFrequency (%)
· 57
54.8%
× 10
 
9.6%
® 9
 
8.7%
Φ 6
 
5.8%
± 5
 
4.8%
Ø 4
 
3.8%
Ω 4
 
3.8%
° 3
 
2.9%
ø 1
 
1.0%
ｗ 1
 
1.0%
Other values (4) 4
 
3.8%
CJK Compat
ValueCountFrequency (%)
㎜ 36
55.4%
㎛ 7
 
10.8%
㎡ 4
 
6.2%
㎠ 3
 
4.6%
㎥ 3
 
4.6%
㎏ 2
 
3.1%
㎪ 2
 
3.1%
㎫ 2
 
3.1%
㎸ 2
 
3.1%
㎾ 2
 
3.1%
Other values (2) 2
 
3.1%
Letterlike Symbols
ValueCountFrequency (%)
™ 19
86.4%
℃ 3
 
13.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
66.7%
ㄷ 4
33.3%
Punctuation
ValueCountFrequency (%)
’ 3
37.5%
” 2
25.0%
“ 2
25.0%
‘ 1
 
12.5%
Math Operators
ValueCountFrequency (%)
≥ 2
66.7%
∼ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
非 1
 
5.9%
多 1
 
5.9%
中 1
 
5.9%
低 1
 
5.9%
價 1
 
5.9%
倒 1
 
5.9%
壞 1
 
5.9%
藥 1
 
5.9%
異 1
 
5.9%
面 1
 
5.9%
Other values (7) 7
41.2%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
14.3%
① 1
14.3%
④ 1
14.3%
⑥ 1
14.3%
⑦ 1
14.3%
⑤ 1
14.3%
③ 1
14.3%

세부품명번호
Text

MISSING 

Distinct719
Distinct (%)35.3%
Missing7781
Missing (%)79.3%
Memory size76.8 KiB
2023-12-12T20:39:16.163344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.4604423
Min length1

Characters and Unicode

Total characters19252
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique399 ?
Unique (%)19.6%

Sample

1st row42
2nd row30121897
3rd row39101699
4th row46171622
5th row26111601
ValueCountFrequency (%)
3912110301 95
 
4.7%
39121103 41
 
2.0%
4016160501 36
 
1.8%
3912118901 34
 
1.7%
3912180101 30
 
1.5%
3912110101 27
 
1.3%
2611160701 26
 
1.3%
4924159601 24
 
1.2%
3912110401 23
 
1.1%
4321150701 21
 
1.0%
Other values (709) 1678
82.5%
2023-12-12T20:39:16.864745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6077
31.6%
0 3714
19.3%
2 1823
 
9.5%
3 1579
 
8.2%
9 1410
 
7.3%
4 1187
 
6.2%
6 1114
 
5.8%
5 1011
 
5.3%
7 775
 
4.0%
8 552
 
2.9%
Other values (5) 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19242
99.9%
Other Letter 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6077
31.6%
0 3714
19.3%
2 1823
 
9.5%
3 1579
 
8.2%
9 1410
 
7.3%
4 1187
 
6.2%
6 1114
 
5.8%
5 1011
 
5.3%
7 775
 
4.0%
8 552
 
2.9%
Other Letter
ValueCountFrequency (%)
피 2
20.0%
스 2
20.0%
톤 2
20.0%
펌 2
20.0%
프 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19242
99.9%
Hangul 10
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6077
31.6%
0 3714
19.3%
2 1823
 
9.5%
3 1579
 
8.2%
9 1410
 
7.3%
4 1187
 
6.2%
6 1114
 
5.8%
5 1011
 
5.3%
7 775
 
4.0%
8 552
 
2.9%
Hangul
ValueCountFrequency (%)
피 2
20.0%
스 2
20.0%
톤 2
20.0%
펌 2
20.0%
프 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19242
99.9%
Hangul 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6077
31.6%
0 3714
19.3%
2 1823
 
9.5%
3 1579
 
8.2%
9 1410
 
7.3%
4 1187
 
6.2%
6 1114
 
5.8%
5 1011
 
5.3%
7 775
 
4.0%
8 552
 
2.9%
Hangul
ValueCountFrequency (%)
피 2
20.0%
스 2
20.0%
톤 2
20.0%
펌 2
20.0%
프 2
20.0%

세부품명
Text

MISSING 

Distinct599
Distinct (%)30.3%
Missing7841
Missing (%)79.9%
Memory size76.8 KiB
2023-12-12T20:39:17.318609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.8875949
Min length2

Characters and Unicode

Total characters11628
Distinct characters421
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)15.6%

Sample

1st row의료용기기
2nd row인조잔디
3rd rowLED램프
4th row영상감시장치
5th row디젤발전기
ValueCountFrequency (%)
폐쇄형배전반 95
 
4.8%
태양광발전장치 44
 
2.2%
배전반 41
 
2.1%
계장제어장치 40
 
2.0%
빌딩자동제어장치 39
 
2.0%
탈취기 38
 
1.9%
영상감시장치 32
 
1.6%
금속제창 31
 
1.6%
led실내조명등 30
 
1.5%
분전반 29
 
1.5%
Other values (589) 1556
78.8%
2023-12-12T20:39:18.063073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 487
 
4.2%
장 407
 
3.5%
전 350
 
3.0%
치 306
 
2.6%
제 236
 
2.0%
반 214
 
1.8%
조 207
 
1.8%
스 195
 
1.7%
수 190
 
1.6%
형 167
 
1.4%
Other values (411) 8869
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11342
97.5%
Uppercase Letter 249
 
2.1%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Lowercase Letter 5
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 487
 
4.3%
장 407
 
3.6%
전 350
 
3.1%
치 306
 
2.7%
제 236
 
2.1%
반 214
 
1.9%
조 207
 
1.8%
스 195
 
1.7%
수 190
 
1.7%
형 167
 
1.5%
Other values (394) 8583
75.7%
Uppercase Letter
ValueCountFrequency (%)
E 78
31.3%
D 62
24.9%
L 62
24.9%
S 26
 
10.4%
B 13
 
5.2%
T 3
 
1.2%
P 3
 
1.2%
G 1
 
0.4%
F 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
u 1
20.0%
i 1
20.0%
t 1
20.0%
a 1
20.0%
r 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11342
97.5%
Latin 254
 
2.2%
Common 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 487
 
4.3%
장 407
 
3.6%
전 350
 
3.1%
치 306
 
2.7%
제 236
 
2.1%
반 214
 
1.9%
조 207
 
1.8%
스 195
 
1.7%
수 190
 
1.7%
형 167
 
1.5%
Other values (394) 8583
75.7%
Latin
ValueCountFrequency (%)
E 78
30.7%
D 62
24.4%
L 62
24.4%
S 26
 
10.2%
B 13
 
5.1%
T 3
 
1.2%
P 3
 
1.2%
G 1
 
0.4%
u 1
 
0.4%
i 1
 
0.4%
Other values (4) 4
 
1.6%
Common
ValueCountFrequency (%)
) 14
43.8%
( 14
43.8%
, 4
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11342
97.5%
ASCII 286
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 487
 
4.3%
장 407
 
3.6%
전 350
 
3.1%
치 306
 
2.7%
제 236
 
2.1%
반 214
 
1.9%
조 207
 
1.8%
스 195
 
1.7%
수 190
 
1.7%
형 167
 
1.5%
Other values (394) 8583
75.7%
ASCII
ValueCountFrequency (%)
E 78
27.3%
D 62
21.7%
L 62
21.7%
S 26
 
9.1%
) 14
 
4.9%
( 14
 
4.9%
B 13
 
4.5%
, 4
 
1.4%
T 3
 
1.0%
P 3
 
1.0%
Other values (7) 7
 
2.4%

업체명
Text

Distinct5930
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size76.8 KiB
2023-12-12T20:39:18.533557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length7.3345558
Min length1

Characters and Unicode

Total characters71996
Distinct characters708
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4332 ?
Unique (%)44.1%

Sample

1st row남광토건㈜
2nd row극동건설㈜
3rd row㈜세운건설
4th row㈜에코하이테크
5th row㈜후레씨네코리아
ValueCountFrequency (%)
주식회사 1417
 
12.3%
주 106
 
0.9%
주)에이텍 77
 
0.7%
주)한성 52
 
0.5%
주)대우루컴즈 51
 
0.4%
삼보컴퓨터 49
 
0.4%
주)다나와컴퓨터 47
 
0.4%
주)레드스톤시스템 40
 
0.3%
주)늑대와여우컴퓨터 32
 
0.3%
주)컴트리 30
 
0.3%
Other values (5982) 9645
83.5%
2023-12-12T20:39:19.210278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5786
 
8.0%
) 4063
 
5.6%
( 4052
 
5.6%
㈜ 3209
 
4.5%
이 2940
 
4.1%
스 2736
 
3.8%
사 1932
 
2.7%
회 1792
 
2.5%
1773
 
2.5%
식 1727
 
2.4%
Other values (698) 41986
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58023
80.6%
Close Punctuation 4063
 
5.6%
Open Punctuation 4052
 
5.6%
Other Symbol 3209
 
4.5%
Space Separator 1773
 
2.5%
Uppercase Letter 530
 
0.7%
Lowercase Letter 195
 
0.3%
Other Punctuation 88
 
0.1%
Decimal Number 53
 
0.1%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5786
 
10.0%
이 2940
 
5.1%
스 2736
 
4.7%
사 1932
 
3.3%
회 1792
 
3.1%
식 1727
 
3.0%
에 1371
 
2.4%
아 1074
 
1.9%
지 969
 
1.7%
트 966
 
1.7%
Other values (635) 36730
63.3%
Uppercase Letter
ValueCountFrequency (%)
T 48
 
9.1%
E 46
 
8.7%
S 45
 
8.5%
C 43
 
8.1%
I 39
 
7.4%
M 38
 
7.2%
N 38
 
7.2%
D 30
 
5.7%
O 29
 
5.5%
G 28
 
5.3%
Other values (14) 146
27.5%
Lowercase Letter
ValueCountFrequency (%)
o 22
11.3%
n 22
11.3%
e 22
11.3%
a 18
9.2%
i 16
 
8.2%
t 14
 
7.2%
s 11
 
5.6%
r 11
 
5.6%
l 9
 
4.6%
c 8
 
4.1%
Other values (12) 42
21.5%
Decimal Number
ValueCountFrequency (%)
1 18
34.0%
2 15
28.3%
0 7
 
13.2%
4 5
 
9.4%
8 4
 
7.5%
3 3
 
5.7%
6 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 70
79.5%
& 12
 
13.6%
, 5
 
5.7%
/ 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 4063
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4052
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3209
100.0%
Space Separator
ValueCountFrequency (%)
1773
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61220
85.0%
Common 10039
 
13.9%
Latin 725
 
1.0%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5786
 
9.5%
㈜ 3209
 
5.2%
이 2940
 
4.8%
스 2736
 
4.5%
사 1932
 
3.2%
회 1792
 
2.9%
식 1727
 
2.8%
에 1371
 
2.2%
아 1074
 
1.8%
지 969
 
1.6%
Other values (625) 37684
61.6%
Latin
ValueCountFrequency (%)
T 48
 
6.6%
E 46
 
6.3%
S 45
 
6.2%
C 43
 
5.9%
I 39
 
5.4%
M 38
 
5.2%
N 38
 
5.2%
D 30
 
4.1%
O 29
 
4.0%
G 28
 
3.9%
Other values (36) 341
47.0%
Common
ValueCountFrequency (%)
) 4063
40.5%
( 4052
40.4%
1773
17.7%
. 70
 
0.7%
1 18
 
0.2%
2 15
 
0.1%
& 12
 
0.1%
- 9
 
0.1%
0 7
 
0.1%
, 5
 
< 0.1%
Other values (6) 15
 
0.1%
Han
ValueCountFrequency (%)
都 2
16.7%
境 1
8.3%
環 1
8.3%
市 1
8.3%
社 1
8.3%
會 1
8.3%
式 1
8.3%
株 1
8.3%
家 1
8.3%
順 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58011
80.6%
ASCII 10764
 
15.0%
None 3209
 
4.5%
CJK 12
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5786
 
10.0%
이 2940
 
5.1%
스 2736
 
4.7%
사 1932
 
3.3%
회 1792
 
3.1%
식 1727
 
3.0%
에 1371
 
2.4%
아 1074
 
1.9%
지 969
 
1.7%
트 966
 
1.7%
Other values (624) 36718
63.3%
ASCII
ValueCountFrequency (%)
) 4063
37.7%
( 4052
37.6%
1773
16.5%
. 70
 
0.7%
T 48
 
0.4%
E 46
 
0.4%
S 45
 
0.4%
C 43
 
0.4%
I 39
 
0.4%
M 38
 
0.4%
Other values (52) 547
 
5.1%
None
ValueCountFrequency (%)
㈜ 3209
100.0%
CJK
ValueCountFrequency (%)
都 2
16.7%
境 1
8.3%
環 1
8.3%
市 1
8.3%
社 1
8.3%
會 1
8.3%
式 1
8.3%
株 1
8.3%
家 1
8.3%
順 1
8.3%

사업자등록번호
Text

Distinct5217
Distinct (%)53.2%
Missing8
Missing (%)0.1%
Memory size76.8 KiB
2023-12-12T20:39:19.667925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters117696
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

Unique3461 ?
Unique (%)35.3%

Sample

1st row120-81-01995
2nd row201-81-45083
3rd row408-81-23002
4th row125-86-16538
5th row120-81-24436
ValueCountFrequency (%)
214-81-56422 80
 
0.8%
106-86-17410 64
 
0.7%
134-87-00681 52
 
0.5%
105-86-46120 52
 
0.5%
107-87-91986 48
 
0.5%
106-86-49926 40
 
0.4%
106-81-65222 33
 
0.3%
513-81-12831 32
 
0.3%
130-81-61229 30
 
0.3%
214-88-00529 30
 
0.3%
Other values (5207) 9347
95.3%
2023-12-12T20:39:20.388506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19616
16.7%
1 19366
16.5%
8 15027
12.8%
0 10736
9.1%
2 10022
8.5%
6 9303
7.9%
3 8033
6.8%
4 7601
 
6.5%
5 6520
 
5.5%
7 6147
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98080
83.3%
Dash Punctuation 19616
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19366
19.7%
8 15027
15.3%
0 10736
10.9%
2 10022
10.2%
6 9303
9.5%
3 8033
8.2%
4 7601
 
7.7%
5 6520
 
6.6%
7 6147
 
6.3%
9 5325
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 19616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19616
16.7%
1 19366
16.5%
8 15027
12.8%
0 10736
9.1%
2 10022
8.5%
6 9303
7.9%
3 8033
6.8%
4 7601
 
6.5%
5 6520
 
5.5%
7 6147
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19616
16.7%
1 19366
16.5%
8 15027
12.8%
0 10736
9.1%
2 10022
8.5%
6 9303
7.9%
3 8033
6.8%
4 7601
 
6.5%
5 6520
 
5.5%
7 6147
 
5.2%

인증일자
Date

MISSING 

Distinct1301
Distinct (%)13.5%
Missing189
Missing (%)1.9%
Memory size76.8 KiB
Minimum2002-04-30 00:00:00
Maximum2020-10-30 00:00:00
2023-12-12T20:39:20.664513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:39:21.060210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

만료일자
Date

MISSING 

Distinct728
Distinct (%)7.6%
Missing189
Missing (%)1.9%
Memory size76.8 KiB
Minimum2020-11-02 00:00:00
Maximum2024-03-03 00:00:00
2023-12-12T20:39:21.343850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:39:21.602391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T20:39:11.730296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:39:12.029511image/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.
2023-12-12T20:39:12.267224image/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

인증구분인증번호인증제품명세부품명번호세부품명업체명사업자등록번호인증일자만료일자
0NET'2019-4석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템<NA><NA>남광토건㈜120-81-019952019-03-042024-03-03
1NET'2019-4석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템<NA><NA>극동건설㈜201-81-450832019-03-042024-03-03
2NET'2019-4석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템<NA><NA>㈜세운건설408-81-230022019-03-042024-03-03
3NET'2019-4석재와 베이스프레임을 이용하여 부등침하방지 및 빗물투수가 용이한 보도블록 시스템<NA><NA>㈜에코하이테크125-86-165382019-03-042024-03-03
4NET'2019-3현장타설 크라운 부에 시공을 위한 홈을 갖는 프리캐스트 세그먼트 아치형 피암터널 공법<NA><NA>㈜후레씨네코리아120-81-244362019-02-112024-02-10
5NET'2019-2컬럼 파이프(감압부 및 토출 엘보)개선을 통하여 와류 및 진동을 저감시킨 수중펌프<NA><NA>금전기업㈜405-81-006362019-02-012024-01-31
6NET'2019-1재난·건설·산업 현장에서의 중장비 RFID 안전관리 시스템<NA><NA>㈜영신디엔씨114-81-097122019-01-082024-01-07
7NET'2018-10이중지압판과 파형주름관을 이용한 옹벽보강 쏘일네일링 공법<NA><NA>지반이엔씨㈜107-87-335692018-12-192023-12-18
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인증구분인증번호인증제품명세부품명번호세부품명업체명사업자등록번호인증일자만료일자
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Duplicate rows

Most frequently occurring

인증구분인증번호인증제품명세부품명번호세부품명업체명사업자등록번호인증일자만료일자# duplicates
1녹색기술제품'GTP-13-00086커넥터 결합방식 모듈형 고압 방전램프용 안정기<NA><NA>(주)삼립135-81-078942013-07-252021-07-243
0녹색기술제품'GTP-13-00033저녹스 가스 버너<NA><NA>(주)청우지엔티119-81-033292013-04-252022-04-042