Overview

Dataset statistics

Number of variables6
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory51.2 B

Variable types

Text4
Categorical2

Dataset

Description이 데이터는 여수시 오천산업단지의 입주업체 현황을 제공하고 있으며, 업체명, 업종, 주소등을 업로드하여 산업단지 생산품의 수요 고객이나, 입주를 희망하시는 분들께서 접근할 수 있도록 자료를 업데이트함
URLhttps://www.data.go.kr/data/3069296/fileData.do

Alerts

단지명 has constant value ""Constant
보유구분 is highly imbalanced (53.9%)Imbalance

Reproduction

Analysis started2023-12-12 00:10:37.948214
Analysis finished2023-12-12 00:10:38.483402
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T09:10:38.628912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.3902439
Min length4

Characters and Unicode

Total characters303
Distinct characters90
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row(주)거풍푸드
2nd row(주)건우산업
3rd row(주)국보수산
4th row(주)그린민푸드
5th row(주)그린씨푸드
ValueCountFrequency (%)
주식회사 4
 
8.2%
주)미주 3
 
6.1%
해움바이오 2
 
4.1%
청원식품 1
 
2.0%
주)유진제2공장 1
 
2.0%
여수제일식품 1
 
2.0%
오천산업(주 1
 
2.0%
어업회사법인 1
 
2.0%
우리씨푸드 1
 
2.0%
우진사료공업(주)여수2공장 1
 
2.0%
Other values (33) 33
67.3%
2023-12-12T09:10:38.994678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
9.9%
) 22
 
7.3%
( 22
 
7.3%
13
 
4.3%
11
 
3.6%
9
 
3.0%
8
 
2.6%
8
 
2.6%
7
 
2.3%
7
 
2.3%
Other values (80) 166
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
80.9%
Close Punctuation 22
 
7.3%
Open Punctuation 22
 
7.3%
Space Separator 8
 
2.6%
Decimal Number 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
12.2%
13
 
5.3%
11
 
4.5%
9
 
3.7%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
Other values (74) 139
56.7%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
3 2
33.3%
1 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
80.9%
Common 58
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
12.2%
13
 
5.3%
11
 
4.5%
9
 
3.7%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
Other values (74) 139
56.7%
Common
ValueCountFrequency (%)
) 22
37.9%
( 22
37.9%
8
 
13.8%
2 3
 
5.2%
3 2
 
3.4%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
80.9%
ASCII 58
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
12.2%
13
 
5.3%
11
 
4.5%
9
 
3.7%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
Other values (74) 139
56.7%
ASCII
ValueCountFrequency (%)
) 22
37.9%
( 22
37.9%
8
 
13.8%
2 3
 
5.2%
3 2
 
3.4%
1 1
 
1.7%

단지명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
여수오천일반산업단지
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여수오천일반산업단지 41
100.0%

Length

2023-12-12T09:10:39.129292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:10:39.240185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수오천일반산업단지 41
100.0%

보유구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
자가
37 
임대

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가 37
90.2%
임대 4
 
9.8%

Length

2023-12-12T09:10:39.336326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:10:39.432043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가 37
90.2%
임대 4
 
9.8%
Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T09:10:39.627988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length27.658537
Min length18

Characters and Unicode

Total characters1134
Distinct characters76
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row전라남도 여수시 망양로 455 (만흥동, (주)전라도백서방김치)
2nd row전라남도 여수시 망양로 514-15, (주)건우산업 (오천동)
3rd row전라남도 여수시 망양로 494-7 (오천동, 국보수산㈜)
4th row전라남도 여수시 망양로 506-2 (오천동, (주)그린라이프농수산)
5th row전라남도 여수시 망양로 445-13 (만흥동, (주)동원청정크릴) (총 2 필지)
ValueCountFrequency (%)
전라남도 41
18.4%
여수시 41
18.4%
망양로 40
17.9%
오천동 22
 
9.9%
만흥동 11
 
4.9%
2 2
 
0.9%
494-7 2
 
0.9%
국보수산㈜ 2
 
0.9%
㈜유진 2
 
0.9%
필지 2
 
0.9%
Other values (57) 58
26.0%
2023-12-12T09:10:40.002911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
16.1%
4 52
 
4.6%
) 47
 
4.1%
( 47
 
4.1%
47
 
4.1%
43
 
3.8%
43
 
3.8%
42
 
3.7%
42
 
3.7%
41
 
3.6%
Other values (66) 547
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
55.1%
Space Separator 183
 
16.1%
Decimal Number 175
 
15.4%
Close Punctuation 47
 
4.1%
Open Punctuation 47
 
4.1%
Dash Punctuation 33
 
2.9%
Other Punctuation 20
 
1.8%
Other Symbol 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
7.5%
43
 
6.9%
43
 
6.9%
42
 
6.7%
42
 
6.7%
41
 
6.6%
41
 
6.6%
41
 
6.6%
40
 
6.4%
40
 
6.4%
Other values (50) 205
32.8%
Decimal Number
ValueCountFrequency (%)
4 52
29.7%
5 26
14.9%
1 25
14.3%
9 12
 
6.9%
7 12
 
6.9%
2 12
 
6.9%
3 10
 
5.7%
6 10
 
5.7%
0 9
 
5.1%
8 7
 
4.0%
Space Separator
ValueCountFrequency (%)
183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
55.5%
Common 505
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
7.5%
43
 
6.8%
43
 
6.8%
42
 
6.7%
42
 
6.7%
41
 
6.5%
41
 
6.5%
41
 
6.5%
40
 
6.4%
40
 
6.4%
Other values (51) 209
33.2%
Common
ValueCountFrequency (%)
183
36.2%
4 52
 
10.3%
) 47
 
9.3%
( 47
 
9.3%
- 33
 
6.5%
5 26
 
5.1%
1 25
 
5.0%
, 20
 
4.0%
9 12
 
2.4%
7 12
 
2.4%
Other values (5) 48
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
55.1%
ASCII 505
44.5%
None 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
36.2%
4 52
 
10.3%
) 47
 
9.3%
( 47
 
9.3%
- 33
 
6.5%
5 26
 
5.1%
1 25
 
5.0%
, 20
 
4.0%
9 12
 
2.4%
7 12
 
2.4%
Other values (5) 48
 
9.5%
Hangul
ValueCountFrequency (%)
47
 
7.5%
43
 
6.9%
43
 
6.9%
42
 
6.7%
42
 
6.7%
41
 
6.6%
41
 
6.6%
41
 
6.6%
40
 
6.4%
40
 
6.4%
Other values (50) 205
32.8%
None
ValueCountFrequency (%)
4
100.0%
Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T09:10:40.215585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length5
Mean length8.3658537
Min length5

Characters and Unicode

Total characters343
Distinct characters10
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

Unique18 ?
Unique (%)43.9%

Sample

1st row10301+10302
2nd row20499+20495
3rd row10211+10212+10213
4th row10212+10211+10302
5th row10212
ValueCountFrequency (%)
10212 7
17.1%
10219 6
14.6%
10213 6
14.6%
10211 2
 
4.9%
10219+10212 2
 
4.9%
10401+10797 1
 
2.4%
10301+10302 1
 
2.4%
10121+10213 1
 
2.4%
10212+10211+10213+10219 1
 
2.4%
10219+10213 1
 
2.4%
Other values (13) 13
31.7%
2023-12-12T09:10:40.579166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 114
33.2%
2 77
22.4%
0 70
20.4%
9 24
 
7.0%
+ 23
 
6.7%
3 21
 
6.1%
5 4
 
1.2%
4 4
 
1.2%
7 4
 
1.2%
8 2
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
93.3%
Math Symbol 23
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 114
35.6%
2 77
24.1%
0 70
21.9%
9 24
 
7.5%
3 21
 
6.6%
5 4
 
1.2%
4 4
 
1.2%
7 4
 
1.2%
8 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 114
33.2%
2 77
22.4%
0 70
20.4%
9 24
 
7.0%
+ 23
 
6.7%
3 21
 
6.1%
5 4
 
1.2%
4 4
 
1.2%
7 4
 
1.2%
8 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 114
33.2%
2 77
22.4%
0 70
20.4%
9 24
 
7.0%
+ 23
 
6.7%
3 21
 
6.1%
5 4
 
1.2%
4 4
 
1.2%
7 4
 
1.2%
8 2
 
0.6%
Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T09:10:40.783228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length61
Mean length25.487805
Min length8

Characters and Unicode

Total characters1045
Distinct characters75
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

Unique18 ?
Unique (%)43.9%

Sample

1st row김치류 제조업+과실 및 그 외 채소 절임식품 제조업
2nd row그 외 기타 분류 안된 화학제품 제조업
3rd row수산동물 훈제, 조리 및 유사 조제식품 제조업+수산동물 건조 및 염장품 제조업+기타 수산동물 가공 저장 처리업
4th row수산동물 건조 및 염장품 제조업+수산동물 훈제, 조리 및 유사 조제식품 제조업+과실 및 그 외 채소 절임식품 제조업
5th row수산동물 건조 및 염장품 제조업
ValueCountFrequency (%)
42
14.8%
수산동물 32
 
11.3%
제조업 29
 
10.2%
가공 19
 
6.7%
저장 18
 
6.3%
기타 14
 
4.9%
건조 13
 
4.6%
염장품 13
 
4.6%
처리업 12
 
4.2%
냉동품 9
 
3.2%
Other values (41) 83
29.2%
2023-12-12T09:10:41.109144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
23.4%
68
 
6.5%
63
 
6.0%
57
 
5.5%
51
 
4.9%
45
 
4.3%
42
 
4.0%
42
 
4.0%
42
 
4.0%
35
 
3.3%
Other values (65) 355
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
74.0%
Space Separator 245
 
23.4%
Math Symbol 22
 
2.1%
Other Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
8.8%
63
 
8.2%
57
 
7.4%
51
 
6.6%
45
 
5.8%
42
 
5.4%
42
 
5.4%
42
 
5.4%
35
 
4.5%
31
 
4.0%
Other values (62) 297
38.4%
Space Separator
ValueCountFrequency (%)
245
100.0%
Math Symbol
ValueCountFrequency (%)
+ 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 773
74.0%
Common 272
 
26.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
8.8%
63
 
8.2%
57
 
7.4%
51
 
6.6%
45
 
5.8%
42
 
5.4%
42
 
5.4%
42
 
5.4%
35
 
4.5%
31
 
4.0%
Other values (62) 297
38.4%
Common
ValueCountFrequency (%)
245
90.1%
+ 22
 
8.1%
, 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 773
74.0%
ASCII 272
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
90.1%
+ 22
 
8.1%
, 5
 
1.8%
Hangul
ValueCountFrequency (%)
68
 
8.8%
63
 
8.2%
57
 
7.4%
51
 
6.6%
45
 
5.8%
42
 
5.4%
42
 
5.4%
42
 
5.4%
35
 
4.5%
31
 
4.0%
Other values (62) 297
38.4%

Correlations

2023-12-12T09:10:41.199325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명보유구분공장대표주소한국표준산업분류코드업종명
회사명1.0001.0000.9950.9960.996
보유구분1.0001.0000.0000.0000.000
공장대표주소0.9950.0001.0000.9710.971
한국표준산업분류코드0.9960.0000.9711.0001.000
업종명0.9960.0000.9711.0001.000

Missing values

2023-12-12T09:10:38.327522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:10:38.433071image/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

회사명단지명보유구분공장대표주소한국표준산업분류코드업종명
0(주)거풍푸드여수오천일반산업단지자가전라남도 여수시 망양로 455 (만흥동, (주)전라도백서방김치)10301+10302김치류 제조업+과실 및 그 외 채소 절임식품 제조업
1(주)건우산업여수오천일반산업단지자가전라남도 여수시 망양로 514-15, (주)건우산업 (오천동)20499+20495그 외 기타 분류 안된 화학제품 제조업
2(주)국보수산여수오천일반산업단지자가전라남도 여수시 망양로 494-7 (오천동, 국보수산㈜)10211+10212+10213수산동물 훈제, 조리 및 유사 조제식품 제조업+수산동물 건조 및 염장품 제조업+기타 수산동물 가공 저장 처리업
3(주)그린민푸드여수오천일반산업단지자가전라남도 여수시 망양로 506-2 (오천동, (주)그린라이프농수산)10212+10211+10302수산동물 건조 및 염장품 제조업+수산동물 훈제, 조리 및 유사 조제식품 제조업+과실 및 그 외 채소 절임식품 제조업
4(주)그린씨푸드여수오천일반산업단지자가전라남도 여수시 망양로 445-13 (만흥동, (주)동원청정크릴) (총 2 필지)10212수산동물 건조 및 염장품 제조업
5나무애그림주식회사여수오천일반산업단지자가전라남도 여수시 망양로 455-1 (만흥동)33910+25995+25999+33932간판 및 광고물 제조업+피복 및 충전 용접봉 제조업+그 외 기타 분류 안된 금속 가공 제품 제조업+전시용 모형 제조업
6(주)남경식품여수오천일반산업단지자가전라남도 여수시 망양로 494-16 (오천동, 남경식품)10219기타 수산동물 가공 및 저장 처리업
7남선수산여수오천일반산업단지자가전라남도 여수시 망양로 506-12 (오천동, 남선수산)10219+10212기타 수산동물 가공 및 저장 처리업+수산동물 건조 및 염장품 제조업
8대길푸드여수오천일반산업단지자가전라남도 여수시 망양로 482-310219기타 수산동물 가공 및 저장 처리업
9(주)대원리프레쉬여수오천일반산업단지자가전라남도 여수시 망양로 482-5(오천동)10212수산동물 건조 및 염장품 제조업
회사명단지명보유구분공장대표주소한국표준산업분류코드업종명
31젖갈나라 하정식품여수오천일반산업단지자가전라남도 여수시 망양로 435-18(만흥동)10211수산동물 훈제, 조리 및 유사 조제식품 제조업
32주식회사 장가남도여수오천일반산업단지임대전라남도 여수시 망양로 482-3(오천동)10211수산동물 훈제, 조리 및 유사 조제식품 제조업
33젤리피쉬여수오천일반산업단지임대전라남도 여수시 망양로 494-7 (오천동, 국보수산㈜)10219기타 수산동물 가공 및 저장 처리업
34(주)창대피엔비여수오천일반산업단지자가전라남도 여수시 오천동 179-110212+10219수산동물 건조 및 염장품 제조업+기타 수산동물 가공 및 저장 처리업
35청경수산여수오천일반산업단지자가전라남도 여수시 망양로 494-8 (오천동, 청경수산)10212수산동물 건조 및 염장품 제조업
36청원식품여수오천일반산업단지임대전라남도 여수시 망양로 494-4(오천동)10213수산동물 냉동품 제조업
37태웅물산여수오천일반산업단지자가전라남도 여수시 망양로 514-27 (오천동, 태웅물산)10213수산동물 냉동품 제조업
38해청식품주식회사여수오천일반산업단지자가전라남도 여수시 망양로 457 (만흥동, (주)해청식품)10212수산동물 건조 및 염장품 제조업
39주식회사 해움바이오여수오천일반산업단지자가전라남도 여수시 망양로 506-17(오천동)10219기타 수산동물 가공 및 저장 처리업
40주식회사 해움바이오여수오천일반산업단지자가전라남도 여수시 망양로 506-23(오천동)10213수산동물 냉동품 제조업