Overview

Dataset statistics

Number of variables10
Number of observations21
Missing cells3
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory87.3 B

Variable types

Text6
Categorical3
DateTime1

Dataset

Description진주시에 등록되어있는 공장 중 성형기 제조업의 업종코드를 보유한 사출성형제조업체의 목록을 제공하며, 세부항목은 대표자명, 공장주소, 대표업종, 업종번호, 업종명, 전화번호, 팩스번호, 생산품을 제공합니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15100459

Alerts

데이터기준일자 has constant value ""Constant
업종명 is highly overall correlated with 대표업종번호 and 1 other fieldsHigh correlation
업종번호 is highly overall correlated with 대표업종번호 and 1 other fieldsHigh correlation
대표업종번호 is highly overall correlated with 업종번호 and 1 other fieldsHigh correlation
전화번호 has 1 (4.8%) missing valuesMissing
팩스번호 has 2 (9.5%) missing valuesMissing
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:30:10.630323
Analysis finished2023-12-10 23:30:11.345430
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T08:30:11.462384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length6.3333333
Min length4

Characters and Unicode

Total characters133
Distinct characters74
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row(유)동양프라스틱
2nd row(주)진양
3rd row씨솔루션
4th row아주와이어(주)
5th row진양화학(주)
ValueCountFrequency (%)
유)동양프라스틱 1
 
4.0%
동양정밀 1
 
4.0%
효산테크 1
 
4.0%
지수공장 1
 
4.0%
디엔오토모티브 1
 
4.0%
주식회사 1
 
4.0%
일진테크 1
 
4.0%
일성eng 1
 
4.0%
우진테크 1
 
4.0%
에프에스테크 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T08:30:11.752789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
크 7
 
5.3%
( 6
 
4.5%
) 6
 
4.5%
주 6
 
4.5%
테 6
 
4.5%
스 5
 
3.8%
진 5
 
3.8%
양 4
 
3.0%
4
 
3.0%
이 3
 
2.3%
Other values (64) 81
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100
75.2%
Uppercase Letter 15
 
11.3%
Open Punctuation 6
 
4.5%
Close Punctuation 6
 
4.5%
Space Separator 4
 
3.0%
Decimal Number 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 7
 
7.0%
주 6
 
6.0%
테 6
 
6.0%
스 5
 
5.0%
진 5
 
5.0%
양 4
 
4.0%
이 3
 
3.0%
산 3
 
3.0%
일 3
 
3.0%
에 3
 
3.0%
Other values (51) 55
55.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
G 2
13.3%
D 2
13.3%
N 2
13.3%
S 2
13.3%
J 1
 
6.7%
P 1
 
6.7%
A 1
 
6.7%
C 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100
75.2%
Common 18
 
13.5%
Latin 15
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 7
 
7.0%
주 6
 
6.0%
테 6
 
6.0%
스 5
 
5.0%
진 5
 
5.0%
양 4
 
4.0%
이 3
 
3.0%
산 3
 
3.0%
일 3
 
3.0%
에 3
 
3.0%
Other values (51) 55
55.0%
Latin
ValueCountFrequency (%)
E 3
20.0%
G 2
13.3%
D 2
13.3%
N 2
13.3%
S 2
13.3%
J 1
 
6.7%
P 1
 
6.7%
A 1
 
6.7%
C 1
 
6.7%
Common
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
4
22.2%
3 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100
75.2%
ASCII 33
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
크 7
 
7.0%
주 6
 
6.0%
테 6
 
6.0%
스 5
 
5.0%
진 5
 
5.0%
양 4
 
4.0%
이 3
 
3.0%
산 3
 
3.0%
일 3
 
3.0%
에 3
 
3.0%
Other values (51) 55
55.0%
ASCII
ValueCountFrequency (%)
( 6
18.2%
) 6
18.2%
4
12.1%
E 3
9.1%
G 2
 
6.1%
D 2
 
6.1%
3 2
 
6.1%
N 2
 
6.1%
S 2
 
6.1%
J 1
 
3.0%
Other values (3) 3
9.1%

대표자명
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T08:30:11.916208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.6666667
Min length3

Characters and Unicode

Total characters77
Distinct characters48
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

Unique19 ?
Unique (%)90.5%

Sample

1st row박동기
2nd row허성두
3rd row김삼권
4th row박찬역
5th row허성두
ValueCountFrequency (%)
허성두 2
 
8.3%
조수진 1
 
4.2%
박명종,신예원 1
 
4.2%
김인환 1
 
4.2%
김상헌 1
 
4.2%
1인 1
 
4.2%
외 1
 
4.2%
강태욱 1
 
4.2%
김도경 1
 
4.2%
배석표 1
 
4.2%
Other values (13) 13
54.2%
2023-12-11T08:30:12.186826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
9.1%
조 3
 
3.9%
종 3
 
3.9%
박 3
 
3.9%
3
 
3.9%
인 3
 
3.9%
명 3
 
3.9%
, 2
 
2.6%
진 2
 
2.6%
상 2
 
2.6%
Other values (38) 46
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
92.2%
Space Separator 3
 
3.9%
Other Punctuation 2
 
2.6%
Decimal Number 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
9.9%
조 3
 
4.2%
종 3
 
4.2%
박 3
 
4.2%
인 3
 
4.2%
명 3
 
4.2%
진 2
 
2.8%
상 2
 
2.8%
환 2
 
2.8%
성 2
 
2.8%
Other values (35) 41
57.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
92.2%
Common 6
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
9.9%
조 3
 
4.2%
종 3
 
4.2%
박 3
 
4.2%
인 3
 
4.2%
명 3
 
4.2%
진 2
 
2.8%
상 2
 
2.8%
환 2
 
2.8%
성 2
 
2.8%
Other values (35) 41
57.7%
Common
ValueCountFrequency (%)
3
50.0%
, 2
33.3%
1 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
92.2%
ASCII 6
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
9.9%
조 3
 
4.2%
종 3
 
4.2%
박 3
 
4.2%
인 3
 
4.2%
명 3
 
4.2%
진 2
 
2.8%
상 2
 
2.8%
환 2
 
2.8%
성 2
 
2.8%
Other values (35) 41
57.7%
ASCII
ValueCountFrequency (%)
3
50.0%
, 2
33.3%
1 1
 
16.7%

공장대표주소(도로명)
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T08:30:12.380653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length29
Mean length27.047619
Min length20

Characters and Unicode

Total characters568
Distinct characters76
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

Unique18 ?
Unique (%)85.7%

Sample

1st row경상남도 진주시 동진로264번길 12 (상대동) 외 1필지
2nd row경상남도 진주시 동진로311번길 11 (상대동) 외 1필지
3rd row경상남도 진주시 정촌면 뿌리산단로15번길 55
4th row경상남도 진주시 대곡면 대화로 53-6
5th row경상남도 진주시 공단로 255 (상평동)
ValueCountFrequency (%)
경상남도 21
 
17.1%
진주시 21
 
17.1%
상평동 5
 
4.1%
대곡면 4
 
3.3%
외 4
 
3.3%
진의로 3
 
2.4%
1220 3
 
2.4%
상대동 2
 
1.6%
1필지 2
 
1.6%
정촌면 2
 
1.6%
Other values (54) 56
45.5%
2023-12-11T08:30:12.705558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
18.0%
1 32
 
5.6%
상 29
 
5.1%
진 27
 
4.8%
경 22
 
3.9%
남 22
 
3.9%
주 22
 
3.9%
로 21
 
3.7%
도 21
 
3.7%
시 21
 
3.7%
Other values (66) 249
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
58.5%
Decimal Number 103
 
18.1%
Space Separator 102
 
18.0%
Open Punctuation 10
 
1.8%
Close Punctuation 10
 
1.8%
Dash Punctuation 6
 
1.1%
Other Punctuation 3
 
0.5%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 29
 
8.7%
진 27
 
8.1%
경 22
 
6.6%
남 22
 
6.6%
주 22
 
6.6%
로 21
 
6.3%
도 21
 
6.3%
시 21
 
6.3%
동 15
 
4.5%
번 11
 
3.3%
Other values (49) 121
36.4%
Decimal Number
ValueCountFrequency (%)
1 32
31.1%
2 16
15.5%
5 11
 
10.7%
4 10
 
9.7%
0 9
 
8.7%
7 7
 
6.8%
6 6
 
5.8%
3 5
 
4.9%
9 4
 
3.9%
8 3
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
58.5%
Common 234
41.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 29
 
8.7%
진 27
 
8.1%
경 22
 
6.6%
남 22
 
6.6%
주 22
 
6.6%
로 21
 
6.3%
도 21
 
6.3%
시 21
 
6.3%
동 15
 
4.5%
번 11
 
3.3%
Other values (49) 121
36.4%
Common
ValueCountFrequency (%)
102
43.6%
1 32
 
13.7%
2 16
 
6.8%
5 11
 
4.7%
( 10
 
4.3%
4 10
 
4.3%
) 10
 
4.3%
0 9
 
3.8%
7 7
 
3.0%
6 6
 
2.6%
Other values (5) 21
 
9.0%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
58.5%
ASCII 236
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
43.2%
1 32
 
13.6%
2 16
 
6.8%
5 11
 
4.7%
( 10
 
4.2%
4 10
 
4.2%
) 10
 
4.2%
0 9
 
3.8%
7 7
 
3.0%
6 6
 
2.5%
Other values (7) 23
 
9.7%
Hangul
ValueCountFrequency (%)
상 29
 
8.7%
진 27
 
8.1%
경 22
 
6.6%
남 22
 
6.6%
주 22
 
6.6%
로 21
 
6.3%
도 21
 
6.3%
시 21
 
6.3%
동 15
 
4.5%
번 11
 
3.3%
Other values (49) 121
36.4%

대표업종번호
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
29294
15 
22251
3 
29222
2 
22232
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row22232
2nd row22251
3rd row29222
4th row22251
5th row22251

Common Values

ValueCountFrequency (%)
29294 15
71.4%
22251 3
 
14.3%
29222 2
 
9.5%
22232 1
 
4.8%

Length

2023-12-11T08:30:12.827698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:30:12.912819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
29294 15
71.4%
22251 3
 
14.3%
29222 2
 
9.5%
22232 1
 
4.8%

업종번호
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
29294
15 
22251, 22259
2 
22232
 
1
25914, 29222, 29224
 
1
22251
 
1

Length

Max length19
Median length5
Mean length6.3333333
Min length5

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row22232
2nd row22251, 22259
3rd row25914, 29222, 29224
4th row22251
5th row22251, 22259

Common Values

ValueCountFrequency (%)
29294 15
71.4%
22251, 22259 2
 
9.5%
22232 1
 
4.8%
25914, 29222, 29224 1
 
4.8%
22251 1
 
4.8%
29222 1
 
4.8%

Length

2023-12-11T08:30:13.011985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:30:13.125267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
29294 15
60.0%
22251 3
 
12.0%
22259 2
 
8.0%
29222 2
 
8.0%
22232 1
 
4.0%
25914 1
 
4.0%
29224 1
 
4.0%

업종명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
주형 및 금형 제조업
15 
폴리스티렌 발포 성형제품 제조업 외 1 종
2 
포장용 플라스틱 성형용기 제조업
 
1
디지털 적층 성형기계 제조업 외 2 종
 
1
폴리스티렌 발포 성형제품 제조업
 
1

Length

Max length23
Median length11
Mean length13.380952
Min length11

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row포장용 플라스틱 성형용기 제조업
2nd row폴리스티렌 발포 성형제품 제조업 외 1 종
3rd row디지털 적층 성형기계 제조업 외 2 종
4th row폴리스티렌 발포 성형제품 제조업
5th row폴리스티렌 발포 성형제품 제조업 외 1 종

Common Values

ValueCountFrequency (%)
주형 및 금형 제조업 15
71.4%
폴리스티렌 발포 성형제품 제조업 외 1 종 2
 
9.5%
포장용 플라스틱 성형용기 제조업 1
 
4.8%
디지털 적층 성형기계 제조업 외 2 종 1
 
4.8%
폴리스티렌 발포 성형제품 제조업 1
 
4.8%
디지털 적층 성형기계 제조업 1
 
4.8%

Length

2023-12-11T08:30:13.271921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:30:13.382822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 21
22.6%
주형 15
16.1%
금형 15
16.1%
및 15
16.1%
폴리스티렌 3
 
3.2%
발포 3
 
3.2%
성형제품 3
 
3.2%
외 3
 
3.2%
종 3
 
3.2%
디지털 2
 
2.2%
Other values (7) 10
10.8%

전화번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-11T08:30:13.554118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters240
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

Unique20 ?
Unique (%)100.0%

Sample

1st row055-762-4588
2nd row055-756-5226
3rd row055-855-2070
4th row055-747-8547
5th row055-755-5597
ValueCountFrequency (%)
055-762-4588 1
 
5.0%
055-756-5226 1
 
5.0%
055-380-5216 1
 
5.0%
055-748-9701 1
 
5.0%
055-745-9807 1
 
5.0%
055-762-8074 1
 
5.0%
055-761-7857 1
 
5.0%
055-758-7712 1
 
5.0%
055-759-8437 1
 
5.0%
055-755-6011 1
 
5.0%
Other values (10) 10
50.0%
2023-12-11T08:30:13.844148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 63
26.2%
- 40
16.7%
7 32
13.3%
0 29
12.1%
8 15
 
6.2%
6 12
 
5.0%
1 12
 
5.0%
2 11
 
4.6%
4 10
 
4.2%
9 8
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
83.3%
Dash Punctuation 40
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 63
31.5%
7 32
16.0%
0 29
14.5%
8 15
 
7.5%
6 12
 
6.0%
1 12
 
6.0%
2 11
 
5.5%
4 10
 
5.0%
9 8
 
4.0%
3 8
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 63
26.2%
- 40
16.7%
7 32
13.3%
0 29
12.1%
8 15
 
6.2%
6 12
 
5.0%
1 12
 
5.0%
2 11
 
4.6%
4 10
 
4.2%
9 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 63
26.2%
- 40
16.7%
7 32
13.3%
0 29
12.1%
8 15
 
6.2%
6 12
 
5.0%
1 12
 
5.0%
2 11
 
4.6%
4 10
 
4.2%
9 8
 
3.3%

팩스번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing2
Missing (%)9.5%
Memory size300.0 B
2023-12-11T08:30:14.031776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.105263
Min length12

Characters and Unicode

Total characters230
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

Unique19 ?
Unique (%)100.0%

Sample

1st row055-757-1438
2nd row055-756-5229
3rd row055-754-2072
4th row055-748-8548
5th row055-755-5595
ValueCountFrequency (%)
055-757-1438 1
 
5.3%
055-759-8438 1
 
5.3%
055-753-2559 1
 
5.3%
055-747-9079 1
 
5.3%
055-760-8229 1
 
5.3%
055-748-9703 1
 
5.3%
055-745-9809 1
 
5.3%
055-762-6070 1
 
5.3%
055-761-7704 1
 
5.3%
053-585-5948 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T08:30:14.334618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 58
25.2%
- 38
16.5%
0 32
13.9%
7 27
11.7%
8 16
 
7.0%
9 13
 
5.7%
2 12
 
5.2%
4 10
 
4.3%
3 10
 
4.3%
6 9
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
83.5%
Dash Punctuation 38
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 58
30.2%
0 32
16.7%
7 27
14.1%
8 16
 
8.3%
9 13
 
6.8%
2 12
 
6.2%
4 10
 
5.2%
3 10
 
5.2%
6 9
 
4.7%
1 5
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 58
25.2%
- 38
16.5%
0 32
13.9%
7 27
11.7%
8 16
 
7.0%
9 13
 
5.7%
2 12
 
5.2%
4 10
 
4.3%
3 10
 
4.3%
6 9
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 58
25.2%
- 38
16.5%
0 32
13.9%
7 27
11.7%
8 16
 
7.0%
9 13
 
5.7%
2 12
 
5.2%
4 10
 
4.3%
3 10
 
4.3%
6 9
 
3.9%

생산품
Text

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T08:30:14.704865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length5.4285714
Min length2

Characters and Unicode

Total characters114
Distinct characters50
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

Unique13 ?
Unique (%)61.9%

Sample

1st row육묘상자
2nd row경질우레탄폼단열제
3rd row산업설비부품
4th row양식용 친환경부표
5th row스티로폼제조
ValueCountFrequency (%)
금형 11
35.5%
금형틀 3
 
9.7%
프레스 2
 
6.5%
자동차 1
 
3.2%
프레스용 1
 
3.2%
및 1
 
3.2%
주형 1
 
3.2%
중장비부품 1
 
3.2%
농기구업 1
 
3.2%
제품 1
 
3.2%
Other values (8) 8
25.8%
2023-12-11T08:30:14.924087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
형 17
 
14.9%
금 15
 
13.2%
10
 
8.8%
프 4
 
3.5%
스 4
 
3.5%
레 4
 
3.5%
품 3
 
2.6%
부 3
 
2.6%
틀 3
 
2.6%
제 3
 
2.6%
Other values (40) 48
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
86.0%
Space Separator 10
 
8.8%
Other Punctuation 2
 
1.8%
Decimal Number 1
 
0.9%
Open Punctuation 1
 
0.9%
Uppercase Letter 1
 
0.9%
Close Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
형 17
17.3%
금 15
 
15.3%
프 4
 
4.1%
스 4
 
4.1%
레 4
 
4.1%
품 3
 
3.1%
부 3
 
3.1%
틀 3
 
3.1%
제 3
 
3.1%
비 2
 
2.0%
Other values (34) 40
40.8%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
86.0%
Common 15
 
13.2%
Latin 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
형 17
17.3%
금 15
 
15.3%
프 4
 
4.1%
스 4
 
4.1%
레 4
 
4.1%
품 3
 
3.1%
부 3
 
3.1%
틀 3
 
3.1%
제 3
 
3.1%
비 2
 
2.0%
Other values (34) 40
40.8%
Common
ValueCountFrequency (%)
10
66.7%
, 2
 
13.3%
3 1
 
6.7%
( 1
 
6.7%
) 1
 
6.7%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
86.0%
ASCII 16
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
형 17
17.3%
금 15
 
15.3%
프 4
 
4.1%
스 4
 
4.1%
레 4
 
4.1%
품 3
 
3.1%
부 3
 
3.1%
틀 3
 
3.1%
제 3
 
3.1%
비 2
 
2.0%
Other values (34) 40
40.8%
ASCII
ValueCountFrequency (%)
10
62.5%
, 2
 
12.5%
3 1
 
6.2%
( 1
 
6.2%
D 1
 
6.2%
) 1
 
6.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2023-11-08 00:00:00
Maximum2023-11-08 00:00:00
2023-12-11T08:30:15.007143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:30:15.073368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T08:30:15.130875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명대표자명공장대표주소(도로명)대표업종번호업종번호업종명전화번호팩스번호생산품
회사명1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0000.9441.0001.0001.0001.0001.0000.875
공장대표주소(도로명)1.0000.9441.0001.0001.0001.0001.0001.0000.848
대표업종번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
업종번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
업종명1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
생산품1.0000.8750.8481.0001.0001.0001.0001.0001.000
2023-12-11T08:30:15.220849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업종번호대표업종번호
업종명1.0001.0000.939
업종번호1.0001.0000.939
대표업종번호0.9390.9391.000
2023-12-11T08:30:15.286210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표업종번호업종번호업종명
대표업종번호1.0000.9390.939
업종번호0.9391.0001.000
업종명0.9391.0001.000

Missing values

2023-12-11T08:30:11.050139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:30:11.207013image/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.
2023-12-11T08:30:11.295856image/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

회사명대표자명공장대표주소(도로명)대표업종번호업종번호업종명전화번호팩스번호생산품데이터기준일자
0(유)동양프라스틱박동기경상남도 진주시 동진로264번길 12 (상대동) 외 1필지2223222232포장용 플라스틱 성형용기 제조업055-762-4588055-757-1438육묘상자2023-11-08
1(주)진양허성두경상남도 진주시 동진로311번길 11 (상대동) 외 1필지2225122251, 22259폴리스티렌 발포 성형제품 제조업 외 1 종055-756-5226055-756-5229경질우레탄폼단열제2023-11-08
2씨솔루션김삼권경상남도 진주시 정촌면 뿌리산단로15번길 552922225914, 29222, 29224디지털 적층 성형기계 제조업 외 2 종055-855-2070055-754-2072산업설비부품2023-11-08
3아주와이어(주)박찬역경상남도 진주시 대곡면 대화로 53-62225122251폴리스티렌 발포 성형제품 제조업055-747-8547055-748-8548양식용 친환경부표2023-11-08
4진양화학(주)허성두경상남도 진주시 공단로 255 (상평동)2225122251, 22259폴리스티렌 발포 성형제품 제조업 외 1 종055-755-5597055-755-5595스티로폼제조2023-11-08
5케이엠에스김명수경상남도 진주시 동부로169번길 12, A동 11층 1110 (충무공동)2922229222디지털 적층 성형기계 제조업055-645-3372070-8285-31233D프린터2023-11-08
6(주)삼승테크김지민경상남도 진주시 금곡면 금곡로83번길 22-6 (총 4 필지) 외 3필지2929429294주형 및 금형 제조업055-754-1173<NA>금형2023-11-08
73D SPACE(3D 스페이스)오광문경상남도 진주시 진주대로 501, 창업보육센터 B동 204호 (가좌동, 경상대학교)2929429294주형 및 금형 제조업055-790-9608055-7560-7029금형 제품2023-11-08
8JS태크최종세경상남도 진주시 일반성면 일사로 770-152929429294주형 및 금형 제조업055-761-6237055-761-6238금형2023-11-08
9경일산업홍영표경상남도 진주시 정촌면 연꽃로145번길 242929429294주형 및 금형 제조업055-758-1812055-758-1835금형2023-11-08
회사명대표자명공장대표주소(도로명)대표업종번호업종번호업종명전화번호팩스번호생산품데이터기준일자
11동양정밀이현희경상남도 진주시 큰들로161번길 19 (상평동)2929429294주형 및 금형 제조업055-755-6011055-753-2559금형, 농기구업, 중장비부품2023-11-08
12부광산업김종상경상남도 진주시 돗골로57번길 5 (상평동)2929429294주형 및 금형 제조업055-759-8437055-759-8438금형틀2023-11-08
13서우테크조수진경상남도 진주시 돗골로70번길 13 (상평동)2929429294주형 및 금형 제조업055-758-7712055-761-7704금형2023-11-08
14에프에스테크진영찬경상남도 진주시 지수면 금평로 1712929429294주형 및 금형 제조업055-761-7857<NA>주형 및 금형2023-11-08
15우진테크배석표경상남도 진주시 문산읍 동부로 819-7 외 2필지2929429294주형 및 금형 제조업055-762-8074055-762-6070프레스용 금형2023-11-08
16일성ENG김도경경상남도 진주시 대곡면 진의로 12202929429294주형 및 금형 제조업055-745-9807055-745-9809금형틀2023-11-08
17일진테크강태욱 외 1인경상남도 진주시 대곡면 진의로 12202929429294주형 및 금형 제조업055-748-9701055-748-9703프레스 금형2023-11-08
18주식회사 디엔오토모티브 지수공장김상헌, 김인환경상남도 진주시 지수면 지사로 6282929429294주형 및 금형 제조업055-380-5216055-760-8229금형틀2023-11-08
19효산테크박명종,신예원경상남도 진주시 대곡면 진의로 12202929429294주형 및 금형 제조업<NA>055-747-9079자동차 프레스 금형2023-11-08
20흥진ENG조명점경상남도 진주시 남강로1179번길 10-4 (상평동)2929429294주형 및 금형 제조업055-752-8614055-753-6009주형(금형)2023-11-08