Overview

Dataset statistics

Number of variables7
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory61.1 B

Variable types

Categorical5
Text2

Dataset

Description제주특별자치도가 지정하는 도내 고용 우수 기업 인증 현황과 관련한 데이터로 구분연도, 인증구분, 기업명, 소재지, 인증기간 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056039/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
인증종료기간 is highly overall correlated with 구분연도 and 1 other fieldsHigh correlation
구분연도 is highly overall correlated with 인증시작기간 and 1 other fieldsHigh correlation
인증시작기간 is highly overall correlated with 구분연도 and 1 other fieldsHigh correlation
기업명 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:19:47.557958
Analysis finished2023-12-23 07:19:49.692522
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2020
13 
2019
10 
2021
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2020 13
40.6%
2019 10
31.2%
2021 9
28.1%

Length

2023-12-23T07:19:50.128985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:19:50.848823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 13
40.6%
2019 10
31.2%
2021 9
28.1%

인증구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
신규
28 
재인증
4 

Length

Max length3
Median length2
Mean length2.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 28
87.5%
재인증 4
 
12.5%

Length

2023-12-23T07:19:51.360111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:19:51.907669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 28
87.5%
재인증 4
 
12.5%

기업명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-23T07:19:52.496081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7
Min length3

Characters and Unicode

Total characters224
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row포원정보통신(주)
2nd row㈜대륜엔지니어링
3rd row㈜월드씨앤에스
4th row㈜블루렌트카
5th row㈜조끄뜨레
ValueCountFrequency (%)
주식회사 5
 
12.8%
포원정보통신(주 1
 
2.6%
㈜한독카리스산전 1
 
2.6%
제주웰빙영농조합법인 1
 
2.6%
㈜대한축산유통 1
 
2.6%
㈜라인렌트카 1
 
2.6%
㈜대은계전 1
 
2.6%
제주엔젤렌트카 1
 
2.6%
보구정 1
 
2.6%
농업회사법인㈜아침미소 1
 
2.6%
Other values (25) 25
64.1%
2023-12-23T07:19:53.486480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 23
 
10.3%
주 12
 
5.4%
회 8
 
3.6%
사 8
 
3.6%
7
 
3.1%
식 6
 
2.7%
스 6
 
2.7%
제 6
 
2.7%
엔 5
 
2.2%
카 5
 
2.2%
Other values (82) 138
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
84.8%
Other Symbol 23
 
10.3%
Space Separator 7
 
3.1%
Uppercase Letter 2
 
0.9%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
6.3%
회 8
 
4.2%
사 8
 
4.2%
식 6
 
3.2%
스 6
 
3.2%
제 6
 
3.2%
엔 5
 
2.6%
카 5
 
2.6%
트 5
 
2.6%
지 5
 
2.6%
Other values (76) 124
65.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
95.1%
Common 9
 
4.0%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 23
 
10.8%
주 12
 
5.6%
회 8
 
3.8%
사 8
 
3.8%
식 6
 
2.8%
스 6
 
2.8%
제 6
 
2.8%
엔 5
 
2.3%
카 5
 
2.3%
트 5
 
2.3%
Other values (77) 129
60.6%
Common
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
84.8%
None 23
 
10.3%
ASCII 11
 
4.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 23
100.0%
Hangul
ValueCountFrequency (%)
주 12
 
6.3%
회 8
 
4.2%
사 8
 
4.2%
식 6
 
3.2%
스 6
 
3.2%
제 6
 
3.2%
엔 5
 
2.6%
카 5
 
2.6%
트 5
 
2.6%
지 5
 
2.6%
Other values (76) 124
65.3%
ASCII
ValueCountFrequency (%)
7
63.6%
C 1
 
9.1%
( 1
 
9.1%
) 1
 
9.1%
S 1
 
9.1%

소재지
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-23T07:19:54.116882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.53125
Min length17

Characters and Unicode

Total characters657
Distinct characters56
Distinct categories4 ?
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 (%)93.8%

Sample

1st row제주특별자치도 제주시 오라남로 14
2nd row제주특별자치도 제주시 서해안로 22-5
3rd row제주특별자치도 제주시 조천읍 남조로1길 174
4th row제주특별자치도 제주시 서문로 4
5th row제주특별자치도 제주시 수덕11길 46
ValueCountFrequency (%)
제주특별자치도 32
24.1%
제주시 31
23.3%
첨단로 5
 
3.8%
조천읍 3
 
2.3%
48 2
 
1.5%
도령로 2
 
1.5%
용문로 2
 
1.5%
4 2
 
1.5%
동광로16길 1
 
0.8%
171-1 1
 
0.8%
Other values (52) 52
39.1%
2023-12-23T07:19:55.505820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
15.8%
주 64
 
9.7%
제 63
 
9.6%
도 36
 
5.5%
1 32
 
4.9%
시 32
 
4.9%
치 32
 
4.9%
자 32
 
4.9%
별 32
 
4.9%
특 32
 
4.9%
Other values (46) 198
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
67.9%
Space Separator 104
 
15.8%
Decimal Number 98
 
14.9%
Dash Punctuation 9
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 64
14.3%
제 63
14.1%
도 36
8.1%
시 32
 
7.2%
치 32
 
7.2%
자 32
 
7.2%
별 32
 
7.2%
특 32
 
7.2%
로 25
 
5.6%
길 13
 
2.9%
Other values (34) 85
19.1%
Decimal Number
ValueCountFrequency (%)
1 32
32.7%
2 14
14.3%
4 13
13.3%
6 8
 
8.2%
5 8
 
8.2%
7 6
 
6.1%
8 5
 
5.1%
3 5
 
5.1%
0 4
 
4.1%
9 3
 
3.1%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
67.9%
Common 211
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 64
14.3%
제 63
14.1%
도 36
8.1%
시 32
 
7.2%
치 32
 
7.2%
자 32
 
7.2%
별 32
 
7.2%
특 32
 
7.2%
로 25
 
5.6%
길 13
 
2.9%
Other values (34) 85
19.1%
Common
ValueCountFrequency (%)
104
49.3%
1 32
 
15.2%
2 14
 
6.6%
4 13
 
6.2%
- 9
 
4.3%
6 8
 
3.8%
5 8
 
3.8%
7 6
 
2.8%
8 5
 
2.4%
3 5
 
2.4%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
67.9%
ASCII 211
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
49.3%
1 32
 
15.2%
2 14
 
6.6%
4 13
 
6.2%
- 9
 
4.3%
6 8
 
3.8%
5 8
 
3.8%
7 6
 
2.8%
8 5
 
2.4%
3 5
 
2.4%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
주 64
14.3%
제 63
14.1%
도 36
8.1%
시 32
 
7.2%
치 32
 
7.2%
자 32
 
7.2%
별 32
 
7.2%
특 32
 
7.2%
로 25
 
5.6%
길 13
 
2.9%
Other values (34) 85
19.1%

인증시작기간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2020-06-01
13 
2019-06-01
10 
2021-06-01
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-01
2nd row2019-06-01
3rd row2019-06-01
4th row2019-06-01
5th row2019-06-01

Common Values

ValueCountFrequency (%)
2020-06-01 13
40.6%
2019-06-01 10
31.2%
2021-06-01 9
28.1%

Length

2023-12-23T07:19:56.115963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:19:56.418237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-06-01 13
40.6%
2019-06-01 10
31.2%
2021-06-01 9
28.1%

인증종료기간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-05-31
13 
2021-05-31
10 
2023-05-31
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-05-31
2nd row2021-05-31
3rd row2021-05-31
4th row2021-05-31
5th row2021-05-31

Common Values

ValueCountFrequency (%)
2022-05-31 13
40.6%
2021-05-31 10
31.2%
2023-05-31 9
28.1%

Length

2023-12-23T07:19:56.976330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:19:57.564811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-05-31 13
40.6%
2021-05-31 10
31.2%
2023-05-31 9
28.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2021-08-27
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-27
2nd row2021-08-27
3rd row2021-08-27
4th row2021-08-27
5th row2021-08-27

Common Values

ValueCountFrequency (%)
2021-08-27 32
100.0%

Length

2023-12-23T07:19:58.281815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:19:58.709290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-27 32
100.0%

Correlations

2023-12-23T07:19:59.065984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분연도인증구분기업명소재지인증시작기간인증종료기간
구분연도1.0000.0001.0000.7211.0001.000
인증구분0.0001.0001.0000.0000.0000.000
기업명1.0001.0001.0001.0001.0001.000
소재지0.7210.0001.0001.0000.7210.721
인증시작기간1.0000.0001.0000.7211.0001.000
인증종료기간1.0000.0001.0000.7211.0001.000
2023-12-23T07:19:59.561202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증종료기간구분연도인증구분인증시작기간
인증종료기간1.0001.0000.0001.000
구분연도1.0001.0000.0001.000
인증구분0.0000.0001.0000.000
인증시작기간1.0001.0000.0001.000
2023-12-23T07:19:59.979515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분연도인증구분인증시작기간인증종료기간
구분연도1.0000.0001.0001.000
인증구분0.0001.0000.0000.000
인증시작기간1.0000.0001.0001.000
인증종료기간1.0000.0001.0001.000

Missing values

2023-12-23T07:19:48.673500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:19:49.422200image/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

구분연도인증구분기업명소재지인증시작기간인증종료기간데이터기준일자
02019신규포원정보통신(주)제주특별자치도 제주시 오라남로 142019-06-012021-05-312021-08-27
12019신규㈜대륜엔지니어링제주특별자치도 제주시 서해안로 22-52019-06-012021-05-312021-08-27
22019신규㈜월드씨앤에스제주특별자치도 제주시 조천읍 남조로1길 1742019-06-012021-05-312021-08-27
32019신규㈜블루렌트카제주특별자치도 제주시 서문로 42019-06-012021-05-312021-08-27
42019신규㈜조끄뜨레제주특별자치도 제주시 수덕11길 462019-06-012021-05-312021-08-27
52019신규㈜나눔에너지제주특별자치도 제주시 도령로 1312019-06-012021-05-312021-08-27
62019신규피앤씨주식회사제주특별자치도 제주시 동성길 62019-06-012021-05-312021-08-27
72019신규㈜박스트리제주특별자치도 제주시 첨단로 2412019-06-012021-05-312021-08-27
82019신규㈜헬리오스제주특별자치도 제주시 산천단동길 162019-06-012021-05-312021-08-27
92019재인증농업회사법인 ㈜제우스제주특별자치도 제주시 첨단로 1752019-06-012021-05-312021-08-27
구분연도인증구분기업명소재지인증시작기간인증종료기간데이터기준일자
222020재인증㈜대은계전제주특별자치도 제주시 첨단로8길 86-22020-06-012022-05-312021-08-27
232021신규주식회사 제주엔젤렌트카제주특별자치도 제주시 도령로 171-12021-06-012023-05-312021-08-27
242021신규㈜한독카리스산전제주특별자치도 제주시 동광로16길 152021-06-012023-05-312021-08-27
252021신규보구정 제주제주특별자치도 제주시 오도5길 202021-06-012023-05-312021-08-27
262021신규주식회사 제주애퐁당제주특별자치도 제주시 용문로17길 92021-06-012023-05-312021-08-27
272021신규주식회사 꿈제주특별자치도 서귀포시 안덕면 병악로 2692021-06-012023-05-312021-08-27
282021신규㈜기반이엔씨제주특별자치도 제주시 오남로 12021-06-012023-05-312021-08-27
292021신규㈜CS제주특별자치도 제주시 첨단로 245-132021-06-012023-05-312021-08-27
302021재인증주식회사 나눔에너지제주특별자치도 제주시 첨단로 213-32021-06-012023-05-312021-08-27
312021재인증주식회사 블루렌트카제주특별자치도 제주시 용문로 482021-06-012023-05-312021-08-27