Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.7 B

Variable types

Text4

Dataset

Description경상남도내 고용우수기업 현황에 대한 데이터입니다. 기업체명, 기업의 소재지, 기업의 주생산품 데이터를 포함하고 있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15015560

Alerts

기업체명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:27:36.182136
Analysis finished2023-12-11 00:27:36.588524
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업체명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T09:27:36.763453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.75
Min length3

Characters and Unicode

Total characters161
Distinct characters84
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row㈜명진기업
2nd row㈜에코맘의산골이유식
3rd row㈜오토피엠테크
4th rowYSC평생교육원
5th row동신금속㈜
ValueCountFrequency (%)
㈜명진기업 1
 
3.6%
㈜에코맘의산골이유식 1
 
3.6%
이케이중공업㈜ 1
 
3.6%
㈜파인테크 1
 
3.6%
㈜퍼쉬 1
 
3.6%
㈜엔지니어링코리아 1
 
3.6%
㈜맵스엔지니어링 1
 
3.6%
지엔아이솔루션㈜ 1
 
3.6%
삼삼물산㈜ 1
 
3.6%
㈜지디씨 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T09:27:37.144143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 27
 
16.8%
이 8
 
5.0%
업 7
 
4.3%
지 4
 
2.5%
공 4
 
2.5%
스 4
 
2.5%
산 4
 
2.5%
원 3
 
1.9%
엔 3
 
1.9%
중 3
 
1.9%
Other values (74) 94
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
81.4%
Other Symbol 27
 
16.8%
Uppercase Letter 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
6.1%
업 7
 
5.3%
지 4
 
3.1%
공 4
 
3.1%
스 4
 
3.1%
산 4
 
3.1%
원 3
 
2.3%
엔 3
 
2.3%
중 3
 
2.3%
아 3
 
2.3%
Other values (70) 88
67.2%
Uppercase Letter
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
C 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
98.1%
Latin 3
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 27
 
17.1%
이 8
 
5.1%
업 7
 
4.4%
지 4
 
2.5%
공 4
 
2.5%
스 4
 
2.5%
산 4
 
2.5%
원 3
 
1.9%
엔 3
 
1.9%
중 3
 
1.9%
Other values (71) 91
57.6%
Latin
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
81.4%
None 27
 
16.8%
ASCII 3
 
1.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 27
100.0%
Hangul
ValueCountFrequency (%)
이 8
 
6.1%
업 7
 
5.3%
지 4
 
3.1%
공 4
 
3.1%
스 4
 
3.1%
산 4
 
3.1%
원 3
 
2.3%
엔 3
 
2.3%
중 3
 
2.3%
아 3
 
2.3%
Other values (70) 88
67.2%
ASCII
ValueCountFrequency (%)
Y 1
33.3%
S 1
33.3%
C 1
33.3%

대표자
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T09:27:37.394964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters84
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row김택세
2nd row오천호
3rd row황재윤
4th row문지영
5th row김영도
ValueCountFrequency (%)
김택세 1
 
3.6%
오천호 1
 
3.6%
이종열 1
 
3.6%
한병국 1
 
3.6%
김봉교 1
 
3.6%
황용하 1
 
3.6%
강진건 1
 
3.6%
이기태 1
 
3.6%
유옥근 1
 
3.6%
김기운 1
 
3.6%
Other values (18) 18
64.3%
2023-12-11T09:27:37.768123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
7.1%
김 5
 
6.0%
용 4
 
4.8%
영 4
 
4.8%
기 3
 
3.6%
정 3
 
3.6%
석 2
 
2.4%
병 2
 
2.4%
국 2
 
2.4%
순 2
 
2.4%
Other values (43) 51
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
7.1%
김 5
 
6.0%
용 4
 
4.8%
영 4
 
4.8%
기 3
 
3.6%
정 3
 
3.6%
석 2
 
2.4%
병 2
 
2.4%
국 2
 
2.4%
순 2
 
2.4%
Other values (43) 51
60.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
7.1%
김 5
 
6.0%
용 4
 
4.8%
영 4
 
4.8%
기 3
 
3.6%
정 3
 
3.6%
석 2
 
2.4%
병 2
 
2.4%
국 2
 
2.4%
순 2
 
2.4%
Other values (43) 51
60.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
7.1%
김 5
 
6.0%
용 4
 
4.8%
영 4
 
4.8%
기 3
 
3.6%
정 3
 
3.6%
석 2
 
2.4%
병 2
 
2.4%
국 2
 
2.4%
순 2
 
2.4%
Other values (43) 51
60.7%

소재지
Text

Distinct15
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T09:27:37.952747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.3214286
Min length3

Characters and Unicode

Total characters93
Distinct characters22
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

Unique10 ?
Unique (%)35.7%

Sample

1st row사천시
2nd row하동군
3rd row밀양시
4th row창원시
5th row사천시
ValueCountFrequency (%)
창원시 10
35.7%
거제시 5
17.9%
통영시 2
 
7.1%
고성군 2
 
7.1%
사천시 2
 
7.1%
김해시 2
 
7.1%
함안군 2
 
7.1%
하동군 1
 
3.6%
밀양시 1
 
3.6%
양산시 1
 
3.6%
2023-12-11T09:27:38.233758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 23
24.7%
창 10
10.8%
원 10
10.8%
9
 
9.7%
거 5
 
5.4%
제 5
 
5.4%
군 5
 
5.4%
천 2
 
2.2%
함 2
 
2.2%
해 2
 
2.2%
Other values (12) 20
21.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
90.3%
Space Separator 9
 
9.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 23
27.4%
창 10
11.9%
원 10
11.9%
거 5
 
6.0%
제 5
 
6.0%
군 5
 
6.0%
천 2
 
2.4%
함 2
 
2.4%
해 2
 
2.4%
김 2
 
2.4%
Other values (11) 18
21.4%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84
90.3%
Common 9
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 23
27.4%
창 10
11.9%
원 10
11.9%
거 5
 
6.0%
제 5
 
6.0%
군 5
 
6.0%
천 2
 
2.4%
함 2
 
2.4%
해 2
 
2.4%
김 2
 
2.4%
Other values (11) 18
21.4%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84
90.3%
ASCII 9
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 23
27.4%
창 10
11.9%
원 10
11.9%
거 5
 
6.0%
제 5
 
6.0%
군 5
 
6.0%
천 2
 
2.4%
함 2
 
2.4%
해 2
 
2.4%
김 2
 
2.4%
Other values (11) 18
21.4%
ASCII
ValueCountFrequency (%)
9
100.0%

주생산품
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T09:27:38.434988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.8571429
Min length3

Characters and Unicode

Total characters192
Distinct characters91
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

Unique24 ?
Unique (%)85.7%

Sample

1st row중장비(굴삭기) 부품
2nd row이유식
3rd row자동차 부품
4th row디지털콘텐츠 개발 서비스
5th row중장비 부품
ValueCountFrequency (%)
부품 8
 
16.0%
자동차 4
 
8.0%
비파괴 2
 
4.0%
검사 2
 
4.0%
건조어묵 1
 
2.0%
기타 1
 
2.0%
구조용 1
 
2.0%
금속제품 1
 
2.0%
세탁기외품 1
 
2.0%
물류서비스 1
 
2.0%
Other values (28) 28
56.0%
2023-12-11T09:27:38.756554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
11.5%
품 10
 
5.2%
부 8
 
4.2%
비 7
 
3.6%
자 6
 
3.1%
스 5
 
2.6%
동 5
 
2.6%
기 5
 
2.6%
선 5
 
2.6%
유 4
 
2.1%
Other values (81) 115
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
81.8%
Space Separator 22
 
11.5%
Lowercase Letter 6
 
3.1%
Uppercase Letter 4
 
2.1%
Other Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 10
 
6.4%
부 8
 
5.1%
비 7
 
4.5%
자 6
 
3.8%
스 5
 
3.2%
동 5
 
3.2%
기 5
 
3.2%
선 5
 
3.2%
유 4
 
2.5%
차 4
 
2.5%
Other values (69) 98
62.4%
Lowercase Letter
ValueCountFrequency (%)
t 2
33.3%
i 2
33.3%
n 1
16.7%
g 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
M 1
25.0%
I 1
25.0%
F 1
25.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
81.8%
Common 25
 
13.0%
Latin 10
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 10
 
6.4%
부 8
 
5.1%
비 7
 
4.5%
자 6
 
3.8%
스 5
 
3.2%
동 5
 
3.2%
기 5
 
3.2%
선 5
 
3.2%
유 4
 
2.5%
차 4
 
2.5%
Other values (69) 98
62.4%
Latin
ValueCountFrequency (%)
t 2
20.0%
i 2
20.0%
E 1
10.0%
M 1
10.0%
I 1
10.0%
F 1
10.0%
n 1
10.0%
g 1
10.0%
Common
ValueCountFrequency (%)
22
88.0%
, 1
 
4.0%
( 1
 
4.0%
) 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
81.8%
ASCII 35
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
62.9%
t 2
 
5.7%
i 2
 
5.7%
, 1
 
2.9%
( 1
 
2.9%
) 1
 
2.9%
E 1
 
2.9%
M 1
 
2.9%
I 1
 
2.9%
F 1
 
2.9%
Other values (2) 2
 
5.7%
Hangul
ValueCountFrequency (%)
품 10
 
6.4%
부 8
 
5.1%
비 7
 
4.5%
자 6
 
3.8%
스 5
 
3.2%
동 5
 
3.2%
기 5
 
3.2%
선 5
 
3.2%
유 4
 
2.5%
차 4
 
2.5%
Other values (69) 98
62.4%

Correlations

2023-12-11T09:27:38.873544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업체명대표자소재지주생산품
기업체명1.0001.0001.0001.000
대표자1.0001.0001.0001.000
소재지1.0001.0001.0000.926
주생산품1.0001.0000.9261.000

Missing values

2023-12-11T09:27:36.453858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:27:36.553356image/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

기업체명대표자소재지주생산품
0㈜명진기업김택세사천시중장비(굴삭기) 부품
1㈜에코맘의산골이유식오천호하동군이유식
2㈜오토피엠테크황재윤밀양시자동차 부품
3YSC평생교육원문지영창원시디지털콘텐츠 개발 서비스
4동신금속㈜김영도사천시중장비 부품
5㈜카스윈진용규창원시스핀들 유니트 제작
6동환산업㈜고수정창원시자동차 냉난방기
7㈜아이스펙한순갑창원시EMI필터
8㈜우성하이텍이재우양산시유압Fitting
9㈜삼녹이헌국거제시선박 구성 부품
기업체명대표자소재지주생산품
18풍원공업㈜이준영김해시세탁기외품
19㈜지디씨김기운창원시물류서비스
20삼삼물산㈜유옥근통영시생굴, 냉동굴
21지엔아이솔루션㈜이기태통영시비파괴 검사
22㈜맵스엔지니어링강진건거제시선박의장설계
23㈜엔지니어링코리아황용하거제시비파괴 검사
24㈜퍼쉬김봉교거제시선박배관
25㈜파인테크한병국거제시플랜트설계
26이케이중공업㈜이종열고성군강선건조
27덕광중공업㈜이상석고성군조선 기자재