Overview

Dataset statistics

Number of variables11
Number of observations1814
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.0 KiB
Average record size in memory88.1 B

Variable types

Categorical5
Text4
DateTime2

Dataset

Description시군명, 업체명, 대표자(가명), 확인유형, 업종분루, 업종명, 주생산품, 유효시작일, 유효만료일, 확인기관 항목으로 구성되어 있습니다.※ "벤처확인종합관리시스템" 내 공시된 성남시 벤처기업 현황 자료에서 성남시 자료만을 추출한 데이터입니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15032487/fileData.do

Alerts

시군명 has constant value ""Constant
확인기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-14 15:31:41.328142
Analysis finished2024-03-14 15:31:43.622468
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
경기도 성남시
1814 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 성남시
2nd row경기도 성남시
3rd row경기도 성남시
4th row경기도 성남시
5th row경기도 성남시

Common Values

ValueCountFrequency (%)
경기도 성남시 1814
100.0%

Length

2024-03-15T00:31:43.826404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:31:44.099940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1814
50.0%
성남시 1814
50.0%

업체명
Text

Distinct1813
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-03-15T00:31:45.217553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length8.2960309
Min length3

Characters and Unicode

Total characters15049
Distinct characters611
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

Unique1812 ?
Unique (%)99.9%

Sample

1st row(주)밸류플러스
2nd row주식회사 랩지노믹스
3rd row㈜싸이닉솔루션
4th row㈜윈스
5th row㈜레이
ValueCountFrequency (%)
주식회사 844
30.7%
주 21
 
0.8%
inc 8
 
0.3%
co 7
 
0.3%
ltd 7
 
0.3%
예비창업자 6
 
0.2%
유한회사 4
 
0.1%
corp 3
 
0.1%
co.,ltd 3
 
0.1%
㈜ 2
 
0.1%
Other values (1843) 1844
67.1%
2024-03-15T00:31:46.874721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1053
 
7.0%
946
 
6.3%
사 910
 
6.0%
회 877
 
5.8%
식 874
 
5.8%
이 694
 
4.6%
㈜ 658
 
4.4%
스 626
 
4.2%
에 244
 
1.6%
아 220
 
1.5%
Other values (601) 7947
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12643
84.0%
Space Separator 946
 
6.3%
Other Symbol 658
 
4.4%
Lowercase Letter 209
 
1.4%
Close Punctuation 204
 
1.4%
Open Punctuation 203
 
1.3%
Uppercase Letter 129
 
0.9%
Other Punctuation 45
 
0.3%
Decimal Number 10
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1053
 
8.3%
사 910
 
7.2%
회 877
 
6.9%
식 874
 
6.9%
이 694
 
5.5%
스 626
 
5.0%
에 244
 
1.9%
아 220
 
1.7%
트 191
 
1.5%
리 187
 
1.5%
Other values (542) 6767
53.5%
Uppercase Letter
ValueCountFrequency (%)
C 18
14.0%
L 16
12.4%
I 15
11.6%
E 11
 
8.5%
T 9
 
7.0%
R 8
 
6.2%
B 7
 
5.4%
S 7
 
5.4%
A 4
 
3.1%
O 4
 
3.1%
Other values (13) 30
23.3%
Lowercase Letter
ValueCountFrequency (%)
o 24
11.5%
n 21
10.0%
e 20
9.6%
i 18
8.6%
t 17
8.1%
c 17
8.1%
a 17
8.1%
r 12
 
5.7%
d 12
 
5.7%
l 9
 
4.3%
Other values (11) 42
20.1%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
0 1
 
10.0%
6 1
 
10.0%
7 1
 
10.0%
8 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 32
71.1%
, 12
 
26.7%
& 1
 
2.2%
Space Separator
ValueCountFrequency (%)
946
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 658
100.0%
Close Punctuation
ValueCountFrequency (%)
) 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13301
88.4%
Common 1410
 
9.4%
Latin 338
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1053
 
7.9%
사 910
 
6.8%
회 877
 
6.6%
식 874
 
6.6%
이 694
 
5.2%
㈜ 658
 
4.9%
스 626
 
4.7%
에 244
 
1.8%
아 220
 
1.7%
트 191
 
1.4%
Other values (543) 6954
52.3%
Latin
ValueCountFrequency (%)
o 24
 
7.1%
n 21
 
6.2%
e 20
 
5.9%
C 18
 
5.3%
i 18
 
5.3%
t 17
 
5.0%
c 17
 
5.0%
a 17
 
5.0%
L 16
 
4.7%
I 15
 
4.4%
Other values (34) 155
45.9%
Common
ValueCountFrequency (%)
946
67.1%
) 204
 
14.5%
( 203
 
14.4%
. 32
 
2.3%
, 12
 
0.9%
2 3
 
0.2%
1 2
 
0.1%
- 2
 
0.1%
0 1
 
0.1%
6 1
 
0.1%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12643
84.0%
ASCII 1748
 
11.6%
None 658
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1053
 
8.3%
사 910
 
7.2%
회 877
 
6.9%
식 874
 
6.9%
이 694
 
5.5%
스 626
 
5.0%
에 244
 
1.9%
아 220
 
1.7%
트 191
 
1.5%
리 187
 
1.5%
Other values (542) 6767
53.5%
ASCII
ValueCountFrequency (%)
946
54.1%
) 204
 
11.7%
( 203
 
11.6%
. 32
 
1.8%
o 24
 
1.4%
n 21
 
1.2%
e 20
 
1.1%
C 18
 
1.0%
i 18
 
1.0%
t 17
 
1.0%
Other values (48) 245
 
14.0%
None
ValueCountFrequency (%)
㈜ 658
100.0%

대표자
Text

Distinct1718
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-03-15T00:31:48.316571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length3
Mean length3.3484013
Min length2

Characters and Unicode

Total characters6074
Distinct characters263
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

Unique1632 ?
Unique (%)90.0%

Sample

1st row육심길
2nd row진승현
3rd row이현
4th row김보연
5th row이상철
ValueCountFrequency (%)
김용환 3
 
0.2%
정영훈 3
 
0.2%
김정태 3
 
0.2%
김종현 3
 
0.2%
이동욱 3
 
0.2%
이상훈 3
 
0.2%
정승원 3
 
0.2%
김정환 3
 
0.2%
이석중 3
 
0.2%
김경수 3
 
0.2%
Other values (1728) 1805
98.4%
2024-03-15T00:31:50.197709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 409
 
6.7%
이 319
 
5.3%
정 200
 
3.3%
영 172
 
2.8%
박 164
 
2.7%
성 149
 
2.5%
현 140
 
2.3%
진 121
 
2.0%
, 110
 
1.8%
호 104
 
1.7%
Other values (253) 4186
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5708
94.0%
Uppercase Letter 215
 
3.5%
Other Punctuation 110
 
1.8%
Space Separator 23
 
0.4%
Lowercase Letter 12
 
0.2%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 409
 
7.2%
이 319
 
5.6%
정 200
 
3.5%
영 172
 
3.0%
박 164
 
2.9%
성 149
 
2.6%
현 140
 
2.5%
진 121
 
2.1%
호 104
 
1.8%
재 102
 
1.8%
Other values (218) 3828
67.1%
Uppercase Letter
ValueCountFrequency (%)
N 30
14.0%
O 29
13.5%
E 18
 
8.4%
G 16
 
7.4%
H 16
 
7.4%
I 15
 
7.0%
A 14
 
6.5%
S 10
 
4.7%
L 10
 
4.7%
M 8
 
3.7%
Other values (12) 49
22.8%
Lowercase Letter
ValueCountFrequency (%)
a 3
25.0%
u 2
16.7%
w 1
 
8.3%
i 1
 
8.3%
k 1
 
8.3%
g 1
 
8.3%
t 1
 
8.3%
o 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 110
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5708
94.0%
Latin 227
 
3.7%
Common 139
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 409
 
7.2%
이 319
 
5.6%
정 200
 
3.5%
영 172
 
3.0%
박 164
 
2.9%
성 149
 
2.6%
현 140
 
2.5%
진 121
 
2.1%
호 104
 
1.8%
재 102
 
1.8%
Other values (218) 3828
67.1%
Latin
ValueCountFrequency (%)
N 30
13.2%
O 29
12.8%
E 18
 
7.9%
G 16
 
7.0%
H 16
 
7.0%
I 15
 
6.6%
A 14
 
6.2%
S 10
 
4.4%
L 10
 
4.4%
M 8
 
3.5%
Other values (21) 61
26.9%
Common
ValueCountFrequency (%)
, 110
79.1%
23
 
16.5%
( 3
 
2.2%
) 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5708
94.0%
ASCII 366
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 409
 
7.2%
이 319
 
5.6%
정 200
 
3.5%
영 172
 
3.0%
박 164
 
2.9%
성 149
 
2.6%
현 140
 
2.5%
진 121
 
2.1%
호 104
 
1.8%
재 102
 
1.8%
Other values (218) 3828
67.1%
ASCII
ValueCountFrequency (%)
, 110
30.1%
N 30
 
8.2%
O 29
 
7.9%
23
 
6.3%
E 18
 
4.9%
G 16
 
4.4%
H 16
 
4.4%
I 15
 
4.1%
A 14
 
3.8%
S 10
 
2.7%
Other values (25) 85
23.2%

벤처확인유형
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
혁신성장유형
869 
연구개발유형
477 
벤처투자유형
462 
예비벤처유형
 
6

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row혁신성장유형
2nd row혁신성장유형
3rd row벤처투자유형
4th row혁신성장유형
5th row연구개발유형

Common Values

ValueCountFrequency (%)
혁신성장유형 869
47.9%
연구개발유형 477
26.3%
벤처투자유형 462
25.5%
예비벤처유형 6
 
0.3%

Length

2024-03-15T00:31:50.849077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:31:51.362717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혁신성장유형 869
47.9%
연구개발유형 477
26.3%
벤처투자유형 462
25.5%
예비벤처유형 6
 
0.3%

업종분류
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
제조업
768 
정보처리S/W
677 
연구개발서비스
155 
기타
128 
도소매업
 
48
Other values (2)
 
38

Length

Max length8
Median length7
Mean length4.8158765
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조업
2nd row연구개발서비스
3rd row제조업
4th row정보처리S/W
5th row제조업

Common Values

ValueCountFrequency (%)
제조업 768
42.3%
정보처리S/W 677
37.3%
연구개발서비스 155
 
8.5%
기타 128
 
7.1%
도소매업 48
 
2.6%
건설운수 36
 
2.0%
농,어,임,광업 2
 
0.1%

Length

2024-03-15T00:31:51.901492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:31:52.547527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 768
42.3%
정보처리s/w 677
37.3%
연구개발서비스 155
 
8.5%
기타 128
 
7.1%
도소매업 48
 
2.6%
건설운수 36
 
2.0%
농,어,임,광업 2
 
0.1%

업종명
Text

Distinct259
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-03-15T00:31:54.083781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length15.904631
Min length3

Characters and Unicode

Total characters28851
Distinct characters268
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)6.2%

Sample

1st row그 외 기타 전자부품 제조업
2nd row의학 및 약학 연구개발업
3rd row비메모리용 및 기타 전자집적회로 제조업
4th row응용 소프트웨어 개발 및 공급업
5th row치과용 기기 제조업
ValueCountFrequency (%)
및 988
 
12.0%
제조업 757
 
9.2%
기타 568
 
6.9%
소프트웨어 409
 
5.0%
개발 407
 
4.9%
공급업 407
 
4.9%
서비스업 315
 
3.8%
외 257
 
3.1%
그 257
 
3.1%
응용 229
 
2.8%
Other values (441) 3658
44.3%
2024-03-15T00:31:56.058696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6438
22.3%
업 1846
 
6.4%
기 1171
 
4.1%
및 988
 
3.4%
제 968
 
3.4%
조 813
 
2.8%
개 601
 
2.1%
타 569
 
2.0%
발 567
 
2.0%
공 550
 
1.9%
Other values (258) 14340
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22309
77.3%
Space Separator 6438
 
22.3%
Other Punctuation 99
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1846
 
8.3%
기 1171
 
5.2%
및 988
 
4.4%
제 968
 
4.3%
조 813
 
3.6%
개 601
 
2.7%
타 569
 
2.6%
발 567
 
2.5%
공 550
 
2.5%
스 549
 
2.5%
Other values (253) 13687
61.4%
Space Separator
ValueCountFrequency (%)
6438
100.0%
Other Punctuation
ValueCountFrequency (%)
, 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22309
77.3%
Common 6542
 
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1846
 
8.3%
기 1171
 
5.2%
및 988
 
4.4%
제 968
 
4.3%
조 813
 
3.6%
개 601
 
2.7%
타 569
 
2.6%
발 567
 
2.5%
공 550
 
2.5%
스 549
 
2.5%
Other values (253) 13687
61.4%
Common
ValueCountFrequency (%)
6438
98.4%
, 99
 
1.5%
( 2
 
< 0.1%
) 2
 
< 0.1%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22282
77.2%
ASCII 6542
 
22.7%
Compat Jamo 27
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6438
98.4%
, 99
 
1.5%
( 2
 
< 0.1%
) 2
 
< 0.1%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1846
 
8.3%
기 1171
 
5.3%
및 988
 
4.4%
제 968
 
4.3%
조 813
 
3.6%
개 601
 
2.7%
타 569
 
2.6%
발 567
 
2.5%
공 550
 
2.5%
스 549
 
2.5%
Other values (252) 13660
61.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 27
100.0%

주생산품
Text

Distinct1660
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-03-15T00:31:57.488729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length60
Mean length13.645535
Min length1

Characters and Unicode

Total characters24753
Distinct characters659
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

Unique1615 ?
Unique (%)89.0%

Sample

1st row정보통신 주변기기
2nd row의학진단 및 키트
3rd rowASIC, Payment IC
4th row침입방지시스템, 방화벽
5th row디지털 진단시스템 및 디지털 치료솔루션
ValueCountFrequency (%)
및 265
 
5.2%
소프트웨어 154
 
3.0%
개발 114
 
2.2%
서비스 92
 
1.8%
플랫폼 76
 
1.5%
시스템 60
 
1.2%
솔루션 60
 
1.2%
등 57
 
1.1%
모바일 44
 
0.9%
외 38
 
0.7%
Other values (2656) 4110
81.1%
2024-03-15T00:31:59.319448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3354
 
13.5%
, 563
 
2.3%
스 553
 
2.2%
기 550
 
2.2%
트 368
 
1.5%
어 337
 
1.4%
비 297
 
1.2%
및 288
 
1.2%
소 282
 
1.1%
프 276
 
1.1%
Other values (649) 17885
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17279
69.8%
Space Separator 3354
 
13.5%
Uppercase Letter 1767
 
7.1%
Lowercase Letter 1343
 
5.4%
Other Punctuation 700
 
2.8%
Close Punctuation 104
 
0.4%
Open Punctuation 88
 
0.4%
Decimal Number 86
 
0.3%
Dash Punctuation 25
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 553
 
3.2%
기 550
 
3.2%
트 368
 
2.1%
어 337
 
2.0%
비 297
 
1.7%
및 288
 
1.7%
소 282
 
1.6%
프 276
 
1.6%
시 261
 
1.5%
장 247
 
1.4%
Other values (573) 13820
80.0%
Uppercase Letter
ValueCountFrequency (%)
S 207
11.7%
I 167
 
9.5%
A 157
 
8.9%
C 153
 
8.7%
T 129
 
7.3%
P 111
 
6.3%
E 96
 
5.4%
D 94
 
5.3%
M 92
 
5.2%
R 82
 
4.6%
Other values (16) 479
27.1%
Lowercase Letter
ValueCountFrequency (%)
o 168
12.5%
e 151
11.2%
a 126
 
9.4%
r 115
 
8.6%
t 103
 
7.7%
l 88
 
6.6%
i 86
 
6.4%
n 76
 
5.7%
s 62
 
4.6%
c 52
 
3.9%
Other values (16) 316
23.5%
Decimal Number
ValueCountFrequency (%)
3 20
23.3%
2 18
20.9%
0 14
16.3%
1 13
15.1%
5 6
 
7.0%
8 4
 
4.7%
4 4
 
4.7%
6 3
 
3.5%
7 3
 
3.5%
9 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 563
80.4%
/ 78
 
11.1%
. 25
 
3.6%
& 18
 
2.6%
; 12
 
1.7%
: 3
 
0.4%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
| 5
83.3%
+ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17278
69.8%
Common 4364
 
17.6%
Latin 3110
 
12.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 553
 
3.2%
기 550
 
3.2%
트 368
 
2.1%
어 337
 
2.0%
비 297
 
1.7%
및 288
 
1.7%
소 282
 
1.6%
프 276
 
1.6%
시 261
 
1.5%
장 247
 
1.4%
Other values (572) 13819
80.0%
Latin
ValueCountFrequency (%)
S 207
 
6.7%
o 168
 
5.4%
I 167
 
5.4%
A 157
 
5.0%
C 153
 
4.9%
e 151
 
4.9%
T 129
 
4.1%
a 126
 
4.1%
r 115
 
3.7%
P 111
 
3.6%
Other values (42) 1626
52.3%
Common
ValueCountFrequency (%)
3354
76.9%
, 563
 
12.9%
) 104
 
2.4%
( 88
 
2.0%
/ 78
 
1.8%
- 25
 
0.6%
. 25
 
0.6%
3 20
 
0.5%
& 18
 
0.4%
2 18
 
0.4%
Other values (14) 71
 
1.6%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17278
69.8%
ASCII 7473
30.2%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3354
44.9%
, 563
 
7.5%
S 207
 
2.8%
o 168
 
2.2%
I 167
 
2.2%
A 157
 
2.1%
C 153
 
2.0%
e 151
 
2.0%
T 129
 
1.7%
a 126
 
1.7%
Other values (65) 2298
30.8%
Hangul
ValueCountFrequency (%)
스 553
 
3.2%
기 550
 
3.2%
트 368
 
2.1%
어 337
 
2.0%
비 297
 
1.7%
및 288
 
1.7%
소 282
 
1.6%
프 276
 
1.6%
시 261
 
1.5%
장 247
 
1.4%
Other values (572) 13819
80.0%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
外 1
100.0%

유효시작일
Date

Distinct627
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
Minimum2021-02-14 00:00:00
Maximum2023-12-27 00:00:00
2024-03-15T00:31:59.704411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:32:00.312875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효종료일
Date

Distinct627
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
Minimum2024-02-13 00:00:00
Maximum2026-12-26 00:00:00
2024-03-15T00:32:00.663358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:32:00.921116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확인기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
벤처기업확인기관
1814 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
벤처기업확인기관 1814
100.0%

Length

2024-03-15T00:32:01.187989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:32:01.444203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벤처기업확인기관 1814
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-01-19
1814 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-19
2nd row2024-01-19
3rd row2024-01-19
4th row2024-01-19
5th row2024-01-19

Common Values

ValueCountFrequency (%)
2024-01-19 1814
100.0%

Length

2024-03-15T00:32:01.649754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:32:01.935519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-19 1814
100.0%

Correlations

2024-03-15T00:32:02.124732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
벤처확인유형업종분류
벤처확인유형1.0000.221
업종분류0.2211.000
2024-03-15T00:32:02.375869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종분류벤처확인유형
업종분류1.0000.153
벤처확인유형0.1531.000
2024-03-15T00:32:02.697155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
벤처확인유형업종분류
벤처확인유형1.0000.153
업종분류0.1531.000

Missing values

2024-03-15T00:31:43.039802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:31:43.407593image/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

시군명업체명대표자벤처확인유형업종분류업종명주생산품유효시작일유효종료일확인기관데이터기준일자
0경기도 성남시(주)밸류플러스육심길혁신성장유형제조업그 외 기타 전자부품 제조업정보통신 주변기기2023-05-102026-05-09벤처기업확인기관2024-01-19
1경기도 성남시주식회사 랩지노믹스진승현혁신성장유형연구개발서비스의학 및 약학 연구개발업의학진단 및 키트2022-06-162025-06-15벤처기업확인기관2024-01-19
2경기도 성남시㈜싸이닉솔루션이현벤처투자유형제조업비메모리용 및 기타 전자집적회로 제조업ASIC, Payment IC2022-07-022025-07-01벤처기업확인기관2024-01-19
3경기도 성남시㈜윈스김보연혁신성장유형정보처리S/W응용 소프트웨어 개발 및 공급업침입방지시스템, 방화벽2021-10-252024-10-24벤처기업확인기관2024-01-19
4경기도 성남시㈜레이이상철연구개발유형제조업치과용 기기 제조업디지털 진단시스템 및 디지털 치료솔루션2021-05-262024-05-25벤처기업확인기관2024-01-19
5경기도 성남시(주)에이텍이상훈,신승영혁신성장유형제조업컴퓨터 제조업컴퓨터2022-05-232025-05-22벤처기업확인기관2024-01-19
6경기도 성남시(주) 엑시콘박상준연구개발유형제조업반도체 제조용 기계 제조업반도체검사장비2022-04-232025-04-22벤처기업확인기관2024-01-19
7경기도 성남시㈜하이플권영진혁신성장유형연구개발서비스물리, 화학 및 생물학 연구개발업원료의약품2021-08-192024-08-18벤처기업확인기관2024-01-19
8경기도 성남시㈜알앤비소프트강응호혁신성장유형정보처리S/W응용 소프트웨어 개발 및 공급업소프트웨어2021-05-112024-05-10벤처기업확인기관2024-01-19
9경기도 성남시㈜슈프리마김한철,이재원연구개발유형제조업기타 주변기기 제조업출입통제시스템2021-06-212024-06-20벤처기업확인기관2024-01-19
시군명업체명대표자벤처확인유형업종분류업종명주생산품유효시작일유효종료일확인기관데이터기준일자
1804경기도 성남시주식회사 오아시스시큐리티김근용혁신성장유형기타보안시스템 서비스업사이버 위협 정보 서비스2023-11-012026-10-31벤처기업확인기관2024-01-19
1805경기도 성남시주식회사 슈퍼래빗게임즈김영웅벤처투자유형정보처리S/W모바일 게임 소프트웨어 개발 및 공급업모바일 게임 &apos;크라운 퀘스트&apos; 개발 및 서비스2023-11-012026-10-31벤처기업확인기관2024-01-19
1806경기도 성남시(주)라온크리에이트용성일연구개발유형제조업비메모리용 및 기타 전자집적회로 제조업비메모리 반도체 제조(도소매)2023-11-152026-11-14벤처기업확인기관2024-01-19
1807경기도 성남시주식회사 아이리브이도희벤처투자유형정보처리S/W응용 소프트웨어 개발 및 공급업AIaaS2023-11-012026-10-31벤처기업확인기관2024-01-19
1808경기도 성남시주식회사 브리즈스튜디오박영호,이기언혁신성장유형정보처리S/W모바일 게임 소프트웨어 개발 및 공급업모바일게임 퍼즐앤히어로즈2023-12-272026-12-26벤처기업확인기관2024-01-19
1809경기도 성남시주식회사 옥된장에프엔비조영훈벤처투자유형도소매업상품 종합 도매업프랜차이즈 가맹2023-11-292026-11-28벤처기업확인기관2024-01-19
1810경기도 성남시(주)코드네임봄신원철벤처투자유형정보처리S/W모바일 게임 소프트웨어 개발 및 공급업모바일게임소프트웨어,유선온라인게임소프트웨어,게임소프트웨어 개발,공급/광고 대행2023-11-222026-11-21벤처기업확인기관2024-01-19
1811경기도 성남시포트로직스 주식회사최형철벤처투자유형건설운수화물운송 중개, 대리 및 관련 서비스업국제물류주선업2023-12-202026-12-19벤처기업확인기관2024-01-19
1812경기도 성남시주식회사 티맥스핀테크남상우연구개발유형정보처리S/W응용 소프트웨어 개발 및 공급업티맥스핀테크2023-12-272026-12-26벤처기업확인기관2024-01-19
1813경기도 성남시주식회사 이비에스스퀘어황성원벤처투자유형제조업축전지 제조업반도체,이차전지,인공지능,센서2023-12-202026-12-19벤처기업확인기관2024-01-19