Overview

Dataset statistics

Number of variables13
Number of observations34
Missing cells42
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory108.8 B

Variable types

Text8
Categorical3
DateTime1
Numeric1

Dataset

Description경상남도 밀양시 제조업체 현황에 대한 자료로, 회사명, 대표자명, 주소지, 업종명, 전화번호, 팩스번호, 종업원수, 생산품에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://www.data.go.kr/data/15034921/fileData.do

Alerts

사업자 업태업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 6 (17.6%) missing valuesMissing
팩스 has 5 (14.7%) missing valuesMissing
비고 has 31 (91.2%) missing valuesMissing
업체명 has unique valuesUnique
주력사업(생산품) has unique valuesUnique
도로명 주소 has unique valuesUnique
설립일자(공장설립신고일) has unique valuesUnique
종업원수 has 1 (2.9%) zerosZeros

Reproduction

Analysis started2024-03-14 13:37:26.377124
Analysis finished2024-03-14 13:37:28.866448
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size400.0 B
2024-03-14T22:37:29.471843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.4117647
Min length4

Characters and Unicode

Total characters218
Distinct characters87
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

Unique34 ?
Unique (%)100.0%

Sample

1st row(주)미래팩
2nd row영우산업(주)
3rd row만고산업(주)
4th row세연산업
5th row유림산업
ValueCountFrequency (%)
주식회사 3
 
7.7%
디울 2
 
5.1%
주)미래팩 1
 
2.6%
주)부양소재 1
 
2.6%
대성팀버 1
 
2.6%
킴텍(주 1
 
2.6%
물샘관수자재 1
 
2.6%
대도산업 1
 
2.6%
주)오륙 1
 
2.6%
주)엘케이 1
 
2.6%
Other values (26) 26
66.7%
2024-03-14T22:37:30.646527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 22
 
10.1%
( 19
 
8.7%
) 19
 
8.7%
산 9
 
4.1%
업 9
 
4.1%
수 6
 
2.8%
재 6
 
2.8%
5
 
2.3%
대 4
 
1.8%
성 4
 
1.8%
Other values (77) 115
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
80.3%
Open Punctuation 19
 
8.7%
Close Punctuation 19
 
8.7%
Space Separator 5
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
12.6%
산 9
 
5.1%
업 9
 
5.1%
수 6
 
3.4%
재 6
 
3.4%
대 4
 
2.3%
성 4
 
2.3%
목 4
 
2.3%
사 3
 
1.7%
식 3
 
1.7%
Other values (74) 105
60.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
80.3%
Common 43
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
12.6%
산 9
 
5.1%
업 9
 
5.1%
수 6
 
3.4%
재 6
 
3.4%
대 4
 
2.3%
성 4
 
2.3%
목 4
 
2.3%
사 3
 
1.7%
식 3
 
1.7%
Other values (74) 105
60.0%
Common
ValueCountFrequency (%)
( 19
44.2%
) 19
44.2%
5
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
80.3%
ASCII 43
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 22
 
12.6%
산 9
 
5.1%
업 9
 
5.1%
수 6
 
3.4%
재 6
 
3.4%
대 4
 
2.3%
성 4
 
2.3%
목 4
 
2.3%
사 3
 
1.7%
식 3
 
1.7%
Other values (74) 105
60.0%
ASCII
ValueCountFrequency (%)
( 19
44.2%
) 19
44.2%
5
 
11.6%

유형(법인 등)
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size400.0 B
법인
22 
개인사업자
12 

Length

Max length5
Median length2
Mean length3.0588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row법인
4th row개인사업자
5th row개인사업자

Common Values

ValueCountFrequency (%)
법인 22
64.7%
개인사업자 12
35.3%

Length

2024-03-14T22:37:31.069042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:37:31.387228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 22
64.7%
개인사업자 12
35.3%

업종
Text

Distinct22
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size400.0 B
2024-03-14T22:37:32.273240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length49
Mean length27.588235
Min length6

Characters and Unicode

Total characters938
Distinct characters100
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

Unique15 ?
Unique (%)44.1%

Sample

1st row직물포대 제조업
2nd row직물포대 제조업
3rd row부직포 및 펠트 제조업
4th row부직포 및 펠트 제조업
5th row부직포 및 펠트 제조업
ValueCountFrequency (%)
제조업 31
 
12.6%
및 30
 
12.1%
기타 12
 
4.9%
목재 11
 
4.5%
일반 10
 
4.0%
플라스틱 10
 
4.0%
건축용 7
 
2.8%
나무제품 5
 
2.0%
외 5
 
2.0%
제품 4
 
1.6%
Other values (65) 122
49.4%
2024-03-14T22:37:33.397348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
222
23.7%
제 81
 
8.6%
업 61
 
6.5%
조 58
 
6.2%
재 30
 
3.2%
및 30
 
3.2%
+ 27
 
2.9%
용 26
 
2.8%
품 20
 
2.1%
기 19
 
2.0%
Other values (90) 364
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 681
72.6%
Space Separator 222
 
23.7%
Math Symbol 27
 
2.9%
Other Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 81
 
11.9%
업 61
 
9.0%
조 58
 
8.5%
재 30
 
4.4%
및 30
 
4.4%
용 26
 
3.8%
품 20
 
2.9%
기 19
 
2.8%
목 17
 
2.5%
타 16
 
2.3%
Other values (87) 323
47.4%
Space Separator
ValueCountFrequency (%)
222
100.0%
Math Symbol
ValueCountFrequency (%)
+ 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 681
72.6%
Common 257
 
27.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 81
 
11.9%
업 61
 
9.0%
조 58
 
8.5%
재 30
 
4.4%
및 30
 
4.4%
용 26
 
3.8%
품 20
 
2.9%
기 19
 
2.8%
목 17
 
2.5%
타 16
 
2.3%
Other values (87) 323
47.4%
Common
ValueCountFrequency (%)
222
86.4%
+ 27
 
10.5%
, 8
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 681
72.6%
ASCII 257
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
222
86.4%
+ 27
 
10.5%
, 8
 
3.1%
Hangul
ValueCountFrequency (%)
제 81
 
11.9%
업 61
 
9.0%
조 58
 
8.5%
재 30
 
4.4%
및 30
 
4.4%
용 26
 
3.8%
품 20
 
2.9%
기 19
 
2.8%
목 17
 
2.5%
타 16
 
2.3%
Other values (87) 323
47.4%

사업자 업태업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size400.0 B
제조업
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조업 34
100.0%

Length

2024-03-14T22:37:33.810577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:37:34.121630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 34
100.0%

주력사업(생산품)
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size400.0 B
2024-03-14T22:37:35.004011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14.5
Mean length10.088235
Min length2

Characters and Unicode

Total characters343
Distinct characters128
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

Unique34 ?
Unique (%)100.0%

Sample

1st row포장용 PP-Bag
2nd row자동차용 컴프레셔
3rd row부직포
4th row농업용 보온 담요
5th row농업용부직포, 농업용다겹보온커튼
ValueCountFrequency (%)
플라스틱 3
 
4.2%
각재 3
 
4.2%
파레트 2
 
2.8%
및 2
 
2.8%
금속울타리 2
 
2.8%
목재덱 2
 
2.8%
포장용 1
 
1.4%
side류 1
 
1.4%
frp 1
 
1.4%
집수구 1
 
1.4%
Other values (54) 54
75.0%
2024-03-14T22:37:36.407084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
11.1%
재 26
 
7.6%
, 19
 
5.5%
목 15
 
4.4%
용 12
 
3.5%
포 8
 
2.3%
리 7
 
2.0%
트 6
 
1.7%
P 5
 
1.5%
스 5
 
1.5%
Other values (118) 202
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
75.2%
Space Separator 38
 
11.1%
Other Punctuation 19
 
5.5%
Uppercase Letter 18
 
5.2%
Lowercase Letter 7
 
2.0%
Open Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 26
 
10.1%
목 15
 
5.8%
용 12
 
4.7%
포 8
 
3.1%
리 7
 
2.7%
트 6
 
2.3%
스 5
 
1.9%
라 4
 
1.6%
울 4
 
1.6%
플 4
 
1.6%
Other values (96) 167
64.7%
Uppercase Letter
ValueCountFrequency (%)
P 5
27.8%
R 3
16.7%
D 2
 
11.1%
F 1
 
5.6%
G 1
 
5.6%
I 1
 
5.6%
B 1
 
5.6%
E 1
 
5.6%
S 1
 
5.6%
C 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
a 1
14.3%
h 1
14.3%
s 1
14.3%
g 1
14.3%
t 1
14.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
75.2%
Common 60
 
17.5%
Latin 25
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 26
 
10.1%
목 15
 
5.8%
용 12
 
4.7%
포 8
 
3.1%
리 7
 
2.7%
트 6
 
2.3%
스 5
 
1.9%
라 4
 
1.6%
울 4
 
1.6%
플 4
 
1.6%
Other values (96) 167
64.7%
Latin
ValueCountFrequency (%)
P 5
20.0%
R 3
12.0%
e 2
 
8.0%
D 2
 
8.0%
F 1
 
4.0%
a 1
 
4.0%
h 1
 
4.0%
s 1
 
4.0%
g 1
 
4.0%
G 1
 
4.0%
Other values (7) 7
28.0%
Common
ValueCountFrequency (%)
38
63.3%
, 19
31.7%
( 1
 
1.7%
- 1
 
1.7%
) 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
75.2%
ASCII 85
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
44.7%
, 19
22.4%
P 5
 
5.9%
R 3
 
3.5%
e 2
 
2.4%
D 2
 
2.4%
F 1
 
1.2%
a 1
 
1.2%
h 1
 
1.2%
s 1
 
1.2%
Other values (12) 12
 
14.1%
Hangul
ValueCountFrequency (%)
재 26
 
10.1%
목 15
 
5.8%
용 12
 
4.7%
포 8
 
3.1%
리 7
 
2.7%
트 6
 
2.3%
스 5
 
1.9%
라 4
 
1.6%
울 4
 
1.6%
플 4
 
1.6%
Other values (96) 167
64.7%

전화번호
Text

MISSING 

Distinct26
Distinct (%)92.9%
Missing6
Missing (%)17.6%
Memory size400.0 B
2024-03-14T22:37:37.143754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique24 ?
Unique (%)85.7%

Sample

1st row055-324-8511
2nd row055-352-7205
3rd row055-391-5563
4th row055-351-1198
5th row055-391-5191
ValueCountFrequency (%)
055-353-9939 2
 
7.1%
055-351-1198 2
 
7.1%
055-324-8511 1
 
3.6%
055-339-5651 1
 
3.6%
055-802-7001 1
 
3.6%
055-352-5604 1
 
3.6%
055-342-5251 1
 
3.6%
055-352-8789 1
 
3.6%
055-351-4450 1
 
3.6%
055-355-9704 1
 
3.6%
Other values (16) 16
57.1%
2024-03-14T22:37:38.041880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 96
28.6%
- 56
16.7%
0 47
14.0%
3 38
 
11.3%
1 21
 
6.2%
9 20
 
6.0%
8 16
 
4.8%
2 15
 
4.5%
4 11
 
3.3%
7 10
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 96
34.3%
0 47
16.8%
3 38
 
13.6%
1 21
 
7.5%
9 20
 
7.1%
8 16
 
5.7%
2 15
 
5.4%
4 11
 
3.9%
7 10
 
3.6%
6 6
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 96
28.6%
- 56
16.7%
0 47
14.0%
3 38
 
11.3%
1 21
 
6.2%
9 20
 
6.0%
8 16
 
4.8%
2 15
 
4.5%
4 11
 
3.3%
7 10
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 96
28.6%
- 56
16.7%
0 47
14.0%
3 38
 
11.3%
1 21
 
6.2%
9 20
 
6.0%
8 16
 
4.8%
2 15
 
4.5%
4 11
 
3.3%
7 10
 
3.0%

도로명 주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size400.0 B
2024-03-14T22:37:38.898659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length25.029412
Min length19

Characters and Unicode

Total characters851
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row경상남도 밀양시 산외면 남기동길 145, (남기리 686-3)
2nd row경상남도 밀양시 상남면 외평로 458 외 1필지
3rd row경상남도 밀양시 초동면 초동농공단지길 23-6 외 1필지
4th row경상남도 밀양시 청도면 구기리 16번지
5th row경상남도 밀양시 부북면 위양로 380 외 1필지
ValueCountFrequency (%)
경상남도 34
16.9%
밀양시 34
16.9%
삼랑진읍 13
 
6.5%
외 13
 
6.5%
부북면 6
 
3.0%
2필지 6
 
3.0%
미율로 5
 
2.5%
1필지 4
 
2.0%
사기점길 3
 
1.5%
산외면 3
 
1.5%
Other values (70) 80
39.8%
2024-03-14T22:37:40.011874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
19.6%
남 41
 
4.8%
상 38
 
4.5%
도 37
 
4.3%
1 36
 
4.2%
양 35
 
4.1%
시 34
 
4.0%
경 34
 
4.0%
밀 34
 
4.0%
면 19
 
2.2%
Other values (75) 376
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
63.0%
Space Separator 167
 
19.6%
Decimal Number 126
 
14.8%
Dash Punctuation 15
 
1.8%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 41
 
7.6%
상 38
 
7.1%
도 37
 
6.9%
양 35
 
6.5%
시 34
 
6.3%
경 34
 
6.3%
밀 34
 
6.3%
면 19
 
3.5%
지 19
 
3.5%
외 19
 
3.5%
Other values (60) 226
42.2%
Decimal Number
ValueCountFrequency (%)
1 36
28.6%
3 16
12.7%
4 13
 
10.3%
9 12
 
9.5%
5 12
 
9.5%
2 11
 
8.7%
6 11
 
8.7%
8 10
 
7.9%
7 4
 
3.2%
0 1
 
0.8%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
63.0%
Common 315
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 41
 
7.6%
상 38
 
7.1%
도 37
 
6.9%
양 35
 
6.5%
시 34
 
6.3%
경 34
 
6.3%
밀 34
 
6.3%
면 19
 
3.5%
지 19
 
3.5%
외 19
 
3.5%
Other values (60) 226
42.2%
Common
ValueCountFrequency (%)
167
53.0%
1 36
 
11.4%
3 16
 
5.1%
- 15
 
4.8%
4 13
 
4.1%
9 12
 
3.8%
5 12
 
3.8%
2 11
 
3.5%
6 11
 
3.5%
8 10
 
3.2%
Other values (5) 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
63.0%
ASCII 315
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
53.0%
1 36
 
11.4%
3 16
 
5.1%
- 15
 
4.8%
4 13
 
4.1%
9 12
 
3.8%
5 12
 
3.8%
2 11
 
3.5%
6 11
 
3.5%
8 10
 
3.2%
Other values (5) 12
 
3.8%
Hangul
ValueCountFrequency (%)
남 41
 
7.6%
상 38
 
7.1%
도 37
 
6.9%
양 35
 
6.5%
시 34
 
6.3%
경 34
 
6.3%
밀 34
 
6.3%
면 19
 
3.5%
지 19
 
3.5%
외 19
 
3.5%
Other values (60) 226
42.2%

팩스
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing5
Missing (%)14.7%
Memory size400.0 B
2024-03-14T22:37:40.722333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique29 ?
Unique (%)100.0%

Sample

1st row055-324-8513
2nd row055-352-7206
3rd row055-391-5542
4th row055-354-0122
5th row055-391-5194
ValueCountFrequency (%)
055-324-8513 1
 
3.4%
055-339-3238 1
 
3.4%
055-355-2882 1
 
3.4%
055-802-7001 1
 
3.4%
055-352-5604 1
 
3.4%
055-342-5251 1
 
3.4%
055-352-8789 1
 
3.4%
055-351-4450 1
 
3.4%
055-355-9703 1
 
3.4%
055-353-4340 1
 
3.4%
Other values (19) 19
65.5%
2024-03-14T22:37:41.693314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 96
27.6%
- 58
16.7%
0 46
13.2%
3 38
 
10.9%
2 20
 
5.7%
1 17
 
4.9%
9 16
 
4.6%
6 16
 
4.6%
4 15
 
4.3%
8 14
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 96
33.1%
0 46
15.9%
3 38
 
13.1%
2 20
 
6.9%
1 17
 
5.9%
9 16
 
5.5%
6 16
 
5.5%
4 15
 
5.2%
8 14
 
4.8%
7 12
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 96
27.6%
- 58
16.7%
0 46
13.2%
3 38
 
10.9%
2 20
 
5.7%
1 17
 
4.9%
9 16
 
4.6%
6 16
 
4.6%
4 15
 
4.3%
8 14
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 96
27.6%
- 58
16.7%
0 46
13.2%
3 38
 
10.9%
2 20
 
5.7%
1 17
 
4.9%
9 16
 
4.6%
6 16
 
4.6%
4 15
 
4.3%
8 14
 
4.0%

설립일자(공장설립신고일)
Date

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size400.0 B
Minimum1991-11-14 00:00:00
Maximum2023-08-21 00:00:00
2024-03-14T22:37:42.078873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:37:42.466742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

종업원수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3823529
Minimum0
Maximum45
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size434.0 B
2024-03-14T22:37:42.826786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39.5
95-th percentile28.55
Maximum45
Range45
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation9.7732309
Coefficient of variation (CV)1.1659293
Kurtosis6.8969232
Mean8.3823529
Median Absolute Deviation (MAD)2
Skewness2.5543565
Sum285
Variance95.516043
MonotonicityNot monotonic
2024-03-14T22:37:43.191231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 6
17.6%
5 5
14.7%
4 4
11.8%
7 3
8.8%
14 2
 
5.9%
2 2
 
5.9%
1 2
 
5.9%
24 1
 
2.9%
10 1
 
2.9%
37 1
 
2.9%
Other values (7) 7
20.6%
ValueCountFrequency (%)
0 1
 
2.9%
1 2
 
5.9%
2 2
 
5.9%
3 6
17.6%
4 4
11.8%
5 5
14.7%
6 1
 
2.9%
7 3
8.8%
8 1
 
2.9%
10 1
 
2.9%
ValueCountFrequency (%)
45 1
 
2.9%
37 1
 
2.9%
24 1
 
2.9%
17 1
 
2.9%
14 2
5.9%
13 1
 
2.9%
11 1
 
2.9%
10 1
 
2.9%
8 1
 
2.9%
7 3
8.8%

대표자 이름
Text

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size400.0 B
2024-03-14T22:37:43.812286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1470588
Min length3

Characters and Unicode

Total characters107
Distinct characters50
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

Unique21 ?
Unique (%)61.8%

Sample

1st row이옥수
2nd row최용덕
3rd row박충옥
4th row정화자
5th row류정열
ValueCountFrequency (%)
정숙희 11
31.4%
정숙자 2
 
5.7%
박충옥 1
 
2.9%
강종섭 1
 
2.9%
김구진 1
 
2.9%
정영화 1
 
2.9%
김영미 1
 
2.9%
한재혁 1
 
2.9%
전태봉 1
 
2.9%
이수형 1
 
2.9%
Other values (14) 14
40.0%
2024-03-14T22:37:44.852032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 16
 
15.0%
숙 13
 
12.1%
희 11
 
10.3%
이 5
 
4.7%
김 5
 
4.7%
자 3
 
2.8%
성 3
 
2.8%
주 2
 
1.9%
영 2
 
1.9%
수 2
 
1.9%
Other values (40) 45
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
98.1%
Space Separator 1
 
0.9%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 16
 
15.2%
숙 13
 
12.4%
희 11
 
10.5%
이 5
 
4.8%
김 5
 
4.8%
자 3
 
2.9%
성 3
 
2.9%
주 2
 
1.9%
영 2
 
1.9%
수 2
 
1.9%
Other values (38) 43
41.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
98.1%
Common 2
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 16
 
15.2%
숙 13
 
12.4%
희 11
 
10.5%
이 5
 
4.8%
김 5
 
4.8%
자 3
 
2.9%
성 3
 
2.9%
주 2
 
1.9%
영 2
 
1.9%
수 2
 
1.9%
Other values (38) 43
41.0%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
98.1%
ASCII 2
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 16
 
15.2%
숙 13
 
12.4%
희 11
 
10.5%
이 5
 
4.8%
김 5
 
4.8%
자 3
 
2.9%
성 3
 
2.9%
주 2
 
1.9%
영 2
 
1.9%
수 2
 
1.9%
Other values (38) 43
41.0%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

비고
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing31
Missing (%)91.2%
Memory size400.0 B
2024-03-14T22:37:45.437158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters24
Distinct characters16
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

Unique3 ?
Unique (%)100.0%

Sample

1st row초동특별농공단지
2nd row용전일반산업단지
3rd row사포일반산업단지
ValueCountFrequency (%)
초동특별농공단지 1
33.3%
용전일반산업단지 1
33.3%
사포일반산업단지 1
33.3%
2024-03-14T22:37:46.248047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 3
12.5%
지 3
12.5%
일 2
 
8.3%
반 2
 
8.3%
산 2
 
8.3%
업 2
 
8.3%
초 1
 
4.2%
동 1
 
4.2%
특 1
 
4.2%
별 1
 
4.2%
Other values (6) 6
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 3
12.5%
지 3
12.5%
일 2
 
8.3%
반 2
 
8.3%
산 2
 
8.3%
업 2
 
8.3%
초 1
 
4.2%
동 1
 
4.2%
특 1
 
4.2%
별 1
 
4.2%
Other values (6) 6
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 3
12.5%
지 3
12.5%
일 2
 
8.3%
반 2
 
8.3%
산 2
 
8.3%
업 2
 
8.3%
초 1
 
4.2%
동 1
 
4.2%
특 1
 
4.2%
별 1
 
4.2%
Other values (6) 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 3
12.5%
지 3
12.5%
일 2
 
8.3%
반 2
 
8.3%
산 2
 
8.3%
업 2
 
8.3%
초 1
 
4.2%
동 1
 
4.2%
특 1
 
4.2%
별 1
 
4.2%
Other values (6) 6
25.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size400.0 B
2024-02-13
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-13
2nd row2024-02-13
3rd row2024-02-13
4th row2024-02-13
5th row2024-02-13

Common Values

ValueCountFrequency (%)
2024-02-13 34
100.0%

Length

2024-03-14T22:37:46.463894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:37:46.628806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-13 34
100.0%

Interactions

2024-03-14T22:37:27.450782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:37:46.751074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명유형(법인 등)업종주력사업(생산품)전화번호도로명 주소팩스설립일자(공장설립신고일)종업원수대표자 이름비고
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유형(법인 등)1.0001.0000.0001.0000.4191.0001.0001.0000.2680.0801.000
업종1.0000.0001.0001.0000.8131.0001.0001.0000.0000.0001.000
주력사업(생산품)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0000.4190.8131.0001.0001.0001.0001.0001.0000.9671.000
도로명 주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립일자(공장설립신고일)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
종업원수1.0000.2680.0001.0001.0001.0001.0001.0001.0000.6941.000
대표자 이름1.0000.0800.0001.0000.9671.0001.0001.0000.6941.0001.000
비고1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T22:37:47.042603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수유형(법인 등)
종업원수1.0000.254
유형(법인 등)0.2541.000

Missing values

2024-03-14T22:37:27.800845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:37:28.358870image/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.
2024-03-14T22:37:28.716352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업체명유형(법인 등)업종사업자 업태업종주력사업(생산품)전화번호도로명 주소팩스설립일자(공장설립신고일)종업원수대표자 이름비고데이터기준일자
0(주)미래팩법인직물포대 제조업제조업포장용 PP-Bag055-324-8511경상남도 밀양시 산외면 남기동길 145, (남기리 686-3)055-324-85132013-04-2424이옥수<NA>2024-02-13
1영우산업(주)법인직물포대 제조업제조업자동차용 컴프레셔055-352-7205경상남도 밀양시 상남면 외평로 458 외 1필지055-352-72062018-03-2811최용덕<NA>2024-02-13
2만고산업(주)법인부직포 및 펠트 제조업제조업부직포055-391-5563경상남도 밀양시 초동면 초동농공단지길 23-6 외 1필지055-391-55422000-08-1017박충옥초동특별농공단지2024-02-13
3세연산업개인사업자부직포 및 펠트 제조업제조업농업용 보온 담요055-351-1198경상남도 밀양시 청도면 구기리 16번지<NA>1991-11-143정화자<NA>2024-02-13
4유림산업개인사업자부직포 및 펠트 제조업제조업농업용부직포, 농업용다겹보온커튼<NA>경상남도 밀양시 부북면 위양로 380 외 1필지055-354-01221996-03-304류정열<NA>2024-02-13
5제성내장(주)법인부직포 및 펠트 제조업제조업팰트,부직포055-391-5191경상남도 밀양시 하남읍 파내길 35 외 3필지055-391-51942004-01-1445이성곤, 이은주<NA>2024-02-13
6문수수출포장개인사업자목재 깔판류 및 기타 적재판 제조업제조업파레트, 목재포장용소재055-353-7057경상남도 밀양시 삼랑진읍 미율로 191-7055-355-70592022-02-245김상개<NA>2024-02-13
7삼진수출포장개인사업자목재 포장용 상자+드럼 및 유사용기 제조업제조업목상자, 파렛트<NA>경상남도 밀양시 삼랑진읍 사기점길 59055-352-70682018-02-053양승철<NA>2024-02-13
8에스지이엔티개인사업자표면 가공 목재 및 특정 목적용 제재목 제조업제조업폐목재 재활용펄프 및 톱밥<NA>경상남도 밀양시 초동면 신연로 519 (총 3 필지) 외 2필지055-391-72261999-05-118김성기<NA>2024-02-13
9태윤우드 주식회사법인목재 깔판류 및 기타 적재판 제조업제조업파레트 및 포재포장용소재055-323-7058경상남도 밀양시 삼랑진읍 미율로 191-9055-323-70472023-03-073전해연<NA>2024-02-13
업체명유형(법인 등)업종사업자 업태업종주력사업(생산품)전화번호도로명 주소팩스설립일자(공장설립신고일)종업원수대표자 이름비고데이터기준일자
24시우방수산업개인사업자일반용 도료 및 관련제품 제조업제조업방수액055-355-9704경상남도 밀양시 부북면 사포공단1길 42055-355-97032016-03-252정숙희<NA>2024-02-13
25(주)나라산업법인기타 건축용 플라스틱 조립제품 제조업제조업PVC창호055-351-4450경상남도 밀양시 산내면 산내야촌길 96-48 외 5필지055-351-44502011-11-0114정숙희<NA>2024-02-13
26(주)대일산업법인그 외 기타 플라스틱 제품 제조업제조업플라스틱 화분055-352-8789경상남도 밀양시 상남면 이연길 26055-352-87892014-02-100정숙희<NA>2024-02-13
27(주)부양소재법인그 외 기타 플라스틱 제품 제조업+디스플레이 장치용 유리 제조업+기타 산업용 유리제품 제조업제조업차량천정재용 복합 sheet055-342-5251경상남도 밀양시 초동면 검암1길 3055-342-52512004-07-0614정숙희<NA>2024-02-13
28(주)엘케이법인플라스틱 선, 봉, 관 및 호스 제조업+콘크리트 관 및 기타 구조용 콘크리트 제품 제조업제조업GRP맨홀, 교량용 집수구, FRP 사다리<NA>경상남도 밀양시 삼랑진읍 검세리 538-18번지<NA>2017-06-147정숙희<NA>2024-02-13
29(주)오륙법인플라스틱 선, 봉, 관 및 호스 제조업+산업용 그 외 비경화 고무제품 제조업제조업플라스틱압출품, DR SIDE류055-352-5604경상남도 밀양시 삼랑진읍 미율로 144-5 외 1필지055-352-56042009-09-1137정숙희<NA>2024-02-13
30대도산업개인사업자고무, 화학섬유 및 플라스틱 성형기 제조업제조업산업기계<NA>경상남도 밀양시 삼랑진읍 사기점길 9 외 2필지<NA>2015-04-081정숙희<NA>2024-02-13
31물샘관수자재개인사업자그 외 기타 플라스틱 제품 제조업제조업플라스틱 사출 제품<NA>경상남도 밀양시 부북면 추원재길 8<NA>1999-05-274정숙희<NA>2024-02-13
32킴텍(주)법인고무, 화학섬유 및 플라스틱 성형기 제조업제조업오토클레이브055-802-7001경상남도 밀양시 부북면 사포산단중앙로 114055-802-70012022-01-107정숙희사포일반산업단지2024-02-13
33한일프라스틱개인사업자기타 건축용 플라스틱 조립제품 제조업제조업플라스틱 창호055-345-6969경상남도 밀양시 삼랑진읍 우곡1길 89 외 2필지055-345-69692012-05-152정숙희<NA>2024-02-13