Overview

Dataset statistics

Number of variables23
Number of observations30
Missing cells196
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory194.4 B

Variable types

Text5
Boolean6
DateTime5
Categorical2
Unsupported3
Numeric2

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/28787e82-e9e3-48f7-9016-1d41a6c79071

Alerts

기타기업여부 has constant value ""Constant
등록일시 has constant value ""Constant
사용여부 has constant value ""Constant
삭제여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
여성고용우수기업여부 is highly imbalanced (64.7%)Imbalance
인증년도 is highly imbalanced (64.7%)Imbalance
인증일자 has 26 (86.7%) missing valuesMissing
종료일자 has 26 (86.7%) missing valuesMissing
기업요약내용 has 30 (100.0%) missing valuesMissing
대표자명 has 17 (56.7%) missing valuesMissing
본사주소 has 17 (56.7%) missing valuesMissing
본사상세주소 has 30 (100.0%) missing valuesMissing
본사전화번호 has 30 (100.0%) missing valuesMissing
홈페이지URL has 20 (66.7%) missing valuesMissing
사업자등록번호 has unique valuesUnique
기업명 has unique valuesUnique
조회수 has unique valuesUnique
기업요약내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사상세주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공유수 has 24 (80.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:10:11.720591
Analysis finished2023-12-10 14:10:12.371422
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업자등록번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:10:12.614139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row101-81-19252
2nd row101-81-88399
3rd row101-86-40070
4th row104-81-49100
5th row104-81-88796
ValueCountFrequency (%)
101-81-19252 1
 
3.3%
101-81-88399 1
 
3.3%
107-49-67766 1
 
3.3%
106-86-87390 1
 
3.3%
106-86-83768 1
 
3.3%
106-86-30219 1
 
3.3%
106-86-18516 1
 
3.3%
106-81-65222 1
 
3.3%
106-81-43460 1
 
3.3%
105-87-26820 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:10:13.155725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 64
17.8%
- 60
16.7%
8 46
12.8%
0 44
12.2%
6 35
9.7%
5 31
8.6%
7 20
 
5.6%
4 18
 
5.0%
9 14
 
3.9%
2 14
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
21.3%
8 46
15.3%
0 44
14.7%
6 35
11.7%
5 31
10.3%
7 20
 
6.7%
4 18
 
6.0%
9 14
 
4.7%
2 14
 
4.7%
3 14
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 64
17.8%
- 60
16.7%
8 46
12.8%
0 44
12.2%
6 35
9.7%
5 31
8.6%
7 20
 
5.6%
4 18
 
5.0%
9 14
 
3.9%
2 14
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 64
17.8%
- 60
16.7%
8 46
12.8%
0 44
12.2%
6 35
9.7%
5 31
8.6%
7 20
 
5.6%
4 18
 
5.0%
9 14
 
3.9%
2 14
 
3.9%

기업명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:10:13.504782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.0666667
Min length4

Characters and Unicode

Total characters242
Distinct characters103
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)대경바스컴
2nd row필스전자(주)
3rd row(주)하이레벤
4th row(주)삼성휴톤
5th row(주)벤트윈
ValueCountFrequency (%)
주)대경바스컴 1
 
3.3%
필스전자(주 1
 
3.3%
삼위정밀 1
 
3.3%
주)라이브존 1
 
3.3%
주)클콩 1
 
3.3%
농업회사법인(주)네니아 1
 
3.3%
주)엠피지오 1
 
3.3%
주)늑대와여우컴퓨터 1
 
3.3%
주)키텔 1
 
3.3%
주)엘앤케이바이오메드 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:10:14.037486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 28
 
11.6%
) 28
 
11.6%
주 28
 
11.6%
이 7
 
2.9%
스 6
 
2.5%
트 5
 
2.1%
대 3
 
1.2%
일 3
 
1.2%
에 3
 
1.2%
리 3
 
1.2%
Other values (93) 128
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
76.9%
Open Punctuation 28
 
11.6%
Close Punctuation 28
 
11.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
15.1%
이 7
 
3.8%
스 6
 
3.2%
트 5
 
2.7%
대 3
 
1.6%
일 3
 
1.6%
에 3
 
1.6%
리 3
 
1.6%
레 3
 
1.6%
니 3
 
1.6%
Other values (91) 122
65.6%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
76.9%
Common 56
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
15.1%
이 7
 
3.8%
스 6
 
3.2%
트 5
 
2.7%
대 3
 
1.6%
일 3
 
1.6%
에 3
 
1.6%
리 3
 
1.6%
레 3
 
1.6%
니 3
 
1.6%
Other values (91) 122
65.6%
Common
ValueCountFrequency (%)
( 28
50.0%
) 28
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
76.9%
ASCII 56
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 28
50.0%
) 28
50.0%
Hangul
ValueCountFrequency (%)
주 28
 
15.1%
이 7
 
3.8%
스 6
 
3.2%
트 5
 
2.7%
대 3
 
1.6%
일 3
 
1.6%
에 3
 
1.6%
리 3
 
1.6%
레 3
 
1.6%
니 3
 
1.6%
Other values (91) 122
65.6%

일자리우수기업여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
26 
True
4 
ValueCountFrequency (%)
False 26
86.7%
True 4
 
13.3%
2023-12-10T23:10:14.209631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Date

MISSING 

Distinct2
Distinct (%)50.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
Minimum2016-06-16 00:00:00
Maximum2016-12-05 00:00:00
2023-12-10T23:10:14.321047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:10:14.524443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

종료일자
Date

MISSING 

Distinct2
Distinct (%)50.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
Minimum2018-06-15 00:00:00
Maximum2018-12-04 00:00:00
2023-12-10T23:10:14.667601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:10:14.814713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

여성고용우수기업여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
28 
True
 
2
ValueCountFrequency (%)
False 28
93.3%
True 2
 
6.7%
2023-12-10T23:10:15.044956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증년도
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
2016
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
2016 2
 
6.7%

Length

2023-12-10T23:10:15.224907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:10:15.486471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
2016 2
 
6.7%

경기도유망중소기업여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
17 
False
13 
ValueCountFrequency (%)
True 17
56.7%
False 13
43.3%
2023-12-10T23:10:15.609754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타기업여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:10:15.735913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기업요약내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

범주명
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
기기;기계;장비
5 
언론;방송;연예;공연
4 
판매;유통;무역;도소매;운송;물류
3 
석유;화학;에너지;환경
3 
전기;전자;반도체;디스플레이
3 
Other values (7)
12 

Length

Max length18
Median length15
Mean length11.9
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row사진;음반;영상;음향;영화;배급
2nd row판매;유통;무역;도소매;운송;물류
3rd row기기;기계;장비
4th row석유;화학;에너지;환경
5th row석유;화학;에너지;환경

Common Values

ValueCountFrequency (%)
기기;기계;장비 5
16.7%
언론;방송;연예;공연 4
13.3%
판매;유통;무역;도소매;운송;물류 3
10.0%
석유;화학;에너지;환경 3
10.0%
전기;전자;반도체;디스플레이 3
10.0%
사진;음반;영상;음향;영화;배급 2
 
6.7%
<NA> 2
 
6.7%
연구;조사;분석;컨설팅;R&D 2
 
6.7%
광업;금속;금형;철강 2
 
6.7%
IT하드웨어;장비 2
 
6.7%
Other values (2) 2
 
6.7%

Length

2023-12-10T23:10:16.012407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기기;기계;장비 5
16.7%
언론;방송;연예;공연 4
13.3%
판매;유통;무역;도소매;운송;물류 3
10.0%
석유;화학;에너지;환경 3
10.0%
전기;전자;반도체;디스플레이 3
10.0%
사진;음반;영상;음향;영화;배급 2
 
6.7%
na 2
 
6.7%
연구;조사;분석;컨설팅;r&d 2
 
6.7%
광업;금속;금형;철강 2
 
6.7%
it하드웨어;장비 2
 
6.7%
Other values (2) 2
 
6.7%

등록일시
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-08-09 18:15:00
Maximum2017-08-09 18:15:00
2023-12-10T23:10:16.223660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:10:16.420991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수정일시
Date

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-07-18 09:43:00
Maximum2020-01-17 04:11:00
2023-12-10T23:10:16.646945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:10:16.856764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-10T23:10:17.154125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:10:17.280341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표자명
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing17
Missing (%)56.7%
Memory size372.0 B
2023-12-10T23:10:17.505505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.6153846
Min length3

Characters and Unicode

Total characters47
Distinct characters29
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

Unique13 ?
Unique (%)100.0%

Sample

1st row이윤희/김영기
2nd row이기용
3rd row유경선
4th row박수복
5th row김영수
ValueCountFrequency (%)
이윤희/김영기 1
 
7.7%
이기용 1
 
7.7%
유경선 1
 
7.7%
박수복 1
 
7.7%
김영수 1
 
7.7%
김진수 1
 
7.7%
강국진 1
 
7.7%
우명구 1
 
7.7%
이상수 1
 
7.7%
문영진/허태유 1
 
7.7%
Other values (3) 3
23.1%
2023-12-10T23:10:18.072611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 4
 
8.5%
김 4
 
8.5%
수 4
 
8.5%
영 3
 
6.4%
진 3
 
6.4%
/ 2
 
4.3%
유 2
 
4.3%
태 2
 
4.3%
구 2
 
4.3%
기 2
 
4.3%
Other values (19) 19
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
95.7%
Other Punctuation 2
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
8.9%
김 4
 
8.9%
수 4
 
8.9%
영 3
 
6.7%
진 3
 
6.7%
유 2
 
4.4%
태 2
 
4.4%
구 2
 
4.4%
기 2
 
4.4%
명 1
 
2.2%
Other values (18) 18
40.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45
95.7%
Common 2
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
8.9%
김 4
 
8.9%
수 4
 
8.9%
영 3
 
6.7%
진 3
 
6.7%
유 2
 
4.4%
태 2
 
4.4%
구 2
 
4.4%
기 2
 
4.4%
명 1
 
2.2%
Other values (18) 18
40.0%
Common
ValueCountFrequency (%)
/ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45
95.7%
ASCII 2
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 4
 
8.9%
김 4
 
8.9%
수 4
 
8.9%
영 3
 
6.7%
진 3
 
6.7%
유 2
 
4.4%
태 2
 
4.4%
구 2
 
4.4%
기 2
 
4.4%
명 1
 
2.2%
Other values (18) 18
40.0%
ASCII
ValueCountFrequency (%)
/ 2
100.0%

본사주소
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing17
Missing (%)56.7%
Memory size372.0 B
2023-12-10T23:10:18.433343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length24.615385
Min length14

Characters and Unicode

Total characters320
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row경기 양주시 남면 삼일로 461
2nd row경기 안산시 단원구 별망로 364
3rd row경기 고양시 일산동구 문봉길62번길 32-11 (문봉동)
4th row경기 안양시 동안구 학의로 268 (관양동; 메가밸리)
5th row경기 안양시 동안구 벌말로118번길 16; 3층
ValueCountFrequency (%)
경기 13
 
18.1%
동안구 3
 
4.2%
안양시 3
 
4.2%
학의로 2
 
2.8%
관양동 2
 
2.8%
안산시 2
 
2.8%
단원구 2
 
2.8%
고양시 2
 
2.8%
양주시 2
 
2.8%
송학3길 1
 
1.4%
Other values (40) 40
55.6%
2023-12-10T23:10:18.990049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
18.4%
경 14
 
4.4%
기 14
 
4.4%
1 14
 
4.4%
시 13
 
4.1%
2 11
 
3.4%
로 11
 
3.4%
양 10
 
3.1%
동 9
 
2.8%
6 9
 
2.8%
Other values (69) 156
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
56.6%
Decimal Number 61
 
19.1%
Space Separator 59
 
18.4%
Other Punctuation 5
 
1.6%
Dash Punctuation 4
 
1.2%
Open Punctuation 4
 
1.2%
Close Punctuation 4
 
1.2%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 14
 
7.7%
기 14
 
7.7%
시 13
 
7.2%
로 11
 
6.1%
양 10
 
5.5%
동 9
 
5.0%
구 8
 
4.4%
길 8
 
4.4%
안 8
 
4.4%
번 6
 
3.3%
Other values (52) 80
44.2%
Decimal Number
ValueCountFrequency (%)
1 14
23.0%
2 11
18.0%
6 9
14.8%
3 6
9.8%
5 5
 
8.2%
8 4
 
6.6%
7 4
 
6.6%
4 3
 
4.9%
0 3
 
4.9%
9 2
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Other Punctuation
ValueCountFrequency (%)
; 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
56.6%
Common 137
42.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 14
 
7.7%
기 14
 
7.7%
시 13
 
7.2%
로 11
 
6.1%
양 10
 
5.5%
동 9
 
5.0%
구 8
 
4.4%
길 8
 
4.4%
안 8
 
4.4%
번 6
 
3.3%
Other values (52) 80
44.2%
Common
ValueCountFrequency (%)
59
43.1%
1 14
 
10.2%
2 11
 
8.0%
6 9
 
6.6%
3 6
 
4.4%
; 5
 
3.6%
5 5
 
3.6%
- 4
 
2.9%
( 4
 
2.9%
8 4
 
2.9%
Other values (5) 16
 
11.7%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
56.6%
ASCII 139
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
42.4%
1 14
 
10.1%
2 11
 
7.9%
6 9
 
6.5%
3 6
 
4.3%
; 5
 
3.6%
5 5
 
3.6%
- 4
 
2.9%
( 4
 
2.9%
8 4
 
2.9%
Other values (7) 18
 
12.9%
Hangul
ValueCountFrequency (%)
경 14
 
7.7%
기 14
 
7.7%
시 13
 
7.2%
로 11
 
6.1%
양 10
 
5.5%
동 9
 
5.0%
구 8
 
4.4%
길 8
 
4.4%
안 8
 
4.4%
번 6
 
3.3%
Other values (52) 80
44.2%

본사상세주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

본사전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

홈페이지URL
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2023-12-10T23:10:19.300211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20.5
Mean length18.7
Min length13

Characters and Unicode

Total characters187
Distinct characters26
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowwww.shplant.co.kr
2nd rowhttp://rezontech.com
3rd rowwww.linkelectronics.co.kr
4th rowwww.trinitysoft.co.kr
5th rowwww.lnkbiomed.com
ValueCountFrequency (%)
www.shplant.co.kr 1
10.0%
http://rezontech.com 1
10.0%
www.linkelectronics.co.kr 1
10.0%
www.trinitysoft.co.kr 1
10.0%
www.lnkbiomed.com 1
10.0%
ttp://www.nycomputer.co.kr 1
10.0%
www.mpgio.com 1
10.0%
www.purunae.com 1
10.0%
www.superbean.tv 1
10.0%
www.livezon.co.kr 1
10.0%
2023-12-10T23:10:19.858291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 27
14.4%
. 24
12.8%
o 16
 
8.6%
c 13
 
7.0%
t 12
 
6.4%
r 11
 
5.9%
n 10
 
5.3%
e 10
 
5.3%
p 7
 
3.7%
k 7
 
3.7%
Other values (16) 50
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 157
84.0%
Other Punctuation 30
 
16.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 27
17.2%
o 16
10.2%
c 13
 
8.3%
t 12
 
7.6%
r 11
 
7.0%
n 10
 
6.4%
e 10
 
6.4%
p 7
 
4.5%
k 7
 
4.5%
m 7
 
4.5%
Other values (13) 37
23.6%
Other Punctuation
ValueCountFrequency (%)
. 24
80.0%
/ 4
 
13.3%
: 2
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 157
84.0%
Common 30
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 27
17.2%
o 16
10.2%
c 13
 
8.3%
t 12
 
7.6%
r 11
 
7.0%
n 10
 
6.4%
e 10
 
6.4%
p 7
 
4.5%
k 7
 
4.5%
m 7
 
4.5%
Other values (13) 37
23.6%
Common
ValueCountFrequency (%)
. 24
80.0%
/ 4
 
13.3%
: 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 27
14.4%
. 24
12.8%
o 16
 
8.6%
c 13
 
7.0%
t 12
 
6.4%
r 11
 
5.9%
n 10
 
5.3%
e 10
 
5.3%
p 7
 
3.7%
k 7
 
3.7%
Other values (16) 50
26.7%

조회수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1189.9
Minimum158
Maximum5829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:10:20.085665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158
5-th percentile190.9
Q1276.75
median355
Q3489
95-th percentile5557.7
Maximum5829
Range5671
Interquartile range (IQR)212.25

Descriptive statistics

Standard deviation1783.3639
Coefficient of variation (CV)1.4987511
Kurtosis2.0825502
Mean1189.9
Median Absolute Deviation (MAD)102
Skewness1.8694155
Sum35697
Variance3180386.8
MonotonicityNot monotonic
2023-12-10T23:10:20.341197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
472 1
 
3.3%
5627 1
 
3.3%
268 1
 
3.3%
320 1
 
3.3%
325 1
 
3.3%
5829 1
 
3.3%
410 1
 
3.3%
4024 1
 
3.3%
405 1
 
3.3%
327 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
158 1
3.3%
190 1
3.3%
192 1
3.3%
224 1
3.3%
246 1
3.3%
260 1
3.3%
268 1
3.3%
270 1
3.3%
297 1
3.3%
304 1
3.3%
ValueCountFrequency (%)
5829 1
3.3%
5627 1
3.3%
5473 1
3.3%
4024 1
3.3%
3238 1
3.3%
2930 1
3.3%
1109 1
3.3%
493 1
3.3%
477 1
3.3%
472 1
3.3%

공유수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8666667
Minimum0
Maximum30
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:10:20.559804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18.2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.2669936
Coefficient of variation (CV)2.5349978
Kurtosis6.929149
Mean2.8666667
Median Absolute Deviation (MAD)0
Skewness2.7041569
Sum86
Variance52.809195
MonotonicityNot monotonic
2023-12-10T23:10:20.778080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
80.0%
30 1
 
3.3%
5 1
 
3.3%
20 1
 
3.3%
1 1
 
3.3%
16 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 24
80.0%
1 1
 
3.3%
5 1
 
3.3%
14 1
 
3.3%
16 1
 
3.3%
20 1
 
3.3%
30 1
 
3.3%
ValueCountFrequency (%)
30 1
 
3.3%
20 1
 
3.3%
16 1
 
3.3%
14 1
 
3.3%
5 1
 
3.3%
1 1
 
3.3%
0 24
80.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-08-09 00:00:00
Maximum2017-08-09 00:00:00
2023-12-10T23:10:20.929371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:10:21.073940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

사업자등록번호기업명일자리우수기업여부인증일자종료일자여성고용우수기업여부인증년도경기도유망중소기업여부기타기업여부기업요약내용범주명등록일시수정일시사용여부삭제여부대표자명본사주소본사상세주소본사전화번호홈페이지URL조회수공유수데이터기준일자
0101-81-19252(주)대경바스컴N<NA><NA>N<NA>YN<NA>사진;음반;영상;음향;영화;배급2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>47202017-08-09
1101-81-88399필스전자(주)N<NA><NA>N<NA>NN<NA>판매;유통;무역;도소매;운송;물류2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>30602017-08-09
2101-86-40070(주)하이레벤N<NA><NA>N<NA>NN<NA>기기;기계;장비2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>24602017-08-09
3104-81-49100(주)삼성휴톤N<NA><NA>N<NA>YN<NA>석유;화학;에너지;환경2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>22402017-08-09
4104-81-88796(주)벤트윈N<NA><NA>N<NA>YN<NA>석유;화학;에너지;환경2017-08-09 18:152020-01-17 04:10YN이윤희/김영기경기 양주시 남면 삼일로 461<NA><NA><NA>30402017-08-09
5105-39-66272하나리빙N<NA><NA>N<NA>NN<NA>석유;화학;에너지;환경2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>27002017-08-09
6105-81-49568(주)가야정밀산업N<NA><NA>N<NA>NN<NA>기기;기계;장비2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>47702017-08-09
7105-81-71871(주)기영인터내셔날N<NA><NA>N<NA>YN<NA>기기;기계;장비2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>39902017-08-09
8105-81-74320(주)대호N<NA><NA>N<NA>YN<NA><NA>2017-08-09 18:152018-07-18 10:56YN<NA><NA><NA><NA><NA>15802017-08-09
9105-81-74510다산일렉트론(주)N<NA><NA>N<NA>YN<NA>언론;방송;연예;공연2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>29702017-08-09
사업자등록번호기업명일자리우수기업여부인증일자종료일자여성고용우수기업여부인증년도경기도유망중소기업여부기타기업여부기업요약내용범주명등록일시수정일시사용여부삭제여부대표자명본사주소본사상세주소본사전화번호홈페이지URL조회수공유수데이터기준일자
20105-86-75455(주)트리니티소프트N<NA><NA>Y2016YN<NA>웹;모바일프로그래밍2017-08-09 18:152018-12-20 06:30YN김진수경기 안양시 동안구 학의로 282 (관양동; 금강펜테리움IT타워)<NA><NA>www.trinitysoft.co.kr5473202017-08-09
21105-87-26820(주)엘앤케이바이오메드N<NA><NA>N<NA>YN<NA>의료;보건;복지;제약;동물2017-08-09 18:152020-01-17 04:11YN강국진경기 용인시 기흥구 동백중앙로16번길 16-25; 201호<NA><NA>www.lnkbiomed.com42012017-08-09
22106-81-43460(주)키텔N<NA><NA>N<NA>NN<NA>언론;방송;연예;공연2017-08-09 18:152018-12-20 06:30YN<NA><NA><NA><NA><NA>32702017-08-09
23106-81-65222(주)늑대와여우컴퓨터Y2016-12-052018-12-04N<NA>NN<NA>IT하드웨어;장비2017-08-09 18:152020-01-17 04:10YN우명구경기 파주시 송학3길 26<NA><NA>ttp://www.nycomputer.co.kr40502017-08-09
24106-86-18516(주)엠피지오N<NA><NA>N<NA>YN<NA>IT하드웨어;장비2017-08-09 18:152020-01-17 04:10YN이상수경기 의정부시 의정로 98<NA><NA>www.mpgio.com4024162017-08-09
25106-86-30219농업회사법인(주)네니아Y2016-12-052018-12-04N<NA>NN<NA>판매;유통;무역;도소매;운송;물류2017-08-09 18:152020-01-17 04:10YN문영진/허태유경기 광주시 곤지암읍 경충대로 731; 2층<NA><NA>www.purunae.com41002017-08-09
26106-86-83768(주)클콩N<NA><NA>Y2016NN<NA>사진;음반;영상;음향;영화;배급2017-08-09 18:152018-12-20 06:30YN이주원경기 고양시 덕양구 삼송로205번길 51 (삼송동)<NA><NA>www.superbean.tv5829142017-08-09
27106-86-87390(주)라이브존N<NA><NA>N<NA>YN<NA>언론;방송;연예;공연2017-08-09 18:152020-01-17 04:11YN백현구경기 양주시 백석읍 권율로1253번길 7-40<NA><NA>www.livezon.co.kr32502017-08-09
28107-49-67766삼위정밀N<NA><NA>N<NA>NN<NA>광업;금속;금형;철강2017-08-09 18:152020-01-17 04:10YN김태한경기 안산시 단원구 별망로677번길 19-15<NA><NA><NA>32002017-08-09
29107-81-42519(주)한랩N<NA><NA>N<NA>NN<NA><NA>2017-08-09 18:152018-07-18 09:43YN<NA><NA><NA><NA><NA>26802017-08-09