Overview

Dataset statistics

Number of variables16
Number of observations22
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory137.8 B

Variable types

Numeric4
Text4
Categorical7
DateTime1

Dataset

Description사출성형관련 공장의 목록에 관한 데이터로, 공장이름, 업종코드번호, 공장전화번호, 공장주소, 업종명 등을 제공합니다.
Author경상남도 함안군
URLhttps://www.data.go.kr/data/15101045/fileData.do

Alerts

관할조직명 has constant value ""Constant
공장크기 has constant value ""Constant
업종번호 is highly overall correlated with 종업원수 and 4 other fieldsHigh correlation
업종명 is highly overall correlated with 종업원수 and 4 other fieldsHigh correlation
종업원수 is highly overall correlated with 업종번호 and 2 other fieldsHigh correlation
용지면적 is highly overall correlated with 건축면적 and 3 other fieldsHigh correlation
건축면적 is highly overall correlated with 용지면적 and 2 other fieldsHigh correlation
설립구분 is highly overall correlated with 종업원수 and 3 other fieldsHigh correlation
지목 is highly imbalanced (73.3%)Imbalance
공장대표주소(도로명) has 1 (4.5%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique
공장대표주소(지번) has unique valuesUnique
등록일 has unique valuesUnique
생산품 has unique valuesUnique
용지면적 has 2 (9.1%) zerosZeros

Reproduction

Analysis started2024-04-21 15:53:15.813849
Analysis finished2024-04-21 15:53:23.281746
Duration7.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-22T00:53:23.442359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-22T00:53:23.809399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

회사명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-22T00:53:24.522368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length5.5454545
Min length2

Characters and Unicode

Total characters122
Distinct characters74
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

Unique22 ?
Unique (%)100.0%

Sample

1st row(주)고려화스너
2nd row(주)동경플라텍
3rd row(주)동주
4th row(주)성일에스아이엠 함안4공장
5th rowE&P산업
ValueCountFrequency (%)
주)고려화스너 1
 
4.2%
주)동경플라텍 1
 
4.2%
한국자원 1
 
4.2%
피앤아이글로벌 1
 
4.2%
태림정밀 1
 
4.2%
유한산업(주 1
 
4.2%
원텍 1
 
4.2%
우주테크 1
 
4.2%
신영델텍주식회사 1
 
4.2%
신양테크 1
 
4.2%
Other values (14) 14
58.3%
2024-04-22T00:53:25.681341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8
 
6.6%
( 5
 
4.1%
) 5
 
4.1%
업 4
 
3.3%
동 4
 
3.3%
산 4
 
3.3%
영 3
 
2.5%
테 3
 
2.5%
텍 3
 
2.5%
아 3
 
2.5%
Other values (64) 80
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
84.4%
Open Punctuation 5
 
4.1%
Close Punctuation 5
 
4.1%
Uppercase Letter 5
 
4.1%
Space Separator 2
 
1.6%
Decimal Number 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8
 
7.8%
업 4
 
3.9%
동 4
 
3.9%
산 4
 
3.9%
영 3
 
2.9%
테 3
 
2.9%
텍 3
 
2.9%
아 3
 
2.9%
크 3
 
2.9%
사 2
 
1.9%
Other values (54) 66
64.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
M 1
20.0%
I 1
20.0%
E 1
20.0%
P 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
84.4%
Common 14
 
11.5%
Latin 5
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8
 
7.8%
업 4
 
3.9%
동 4
 
3.9%
산 4
 
3.9%
영 3
 
2.9%
테 3
 
2.9%
텍 3
 
2.9%
아 3
 
2.9%
크 3
 
2.9%
사 2
 
1.9%
Other values (54) 66
64.1%
Common
ValueCountFrequency (%)
( 5
35.7%
) 5
35.7%
2
 
14.3%
4 1
 
7.1%
& 1
 
7.1%
Latin
ValueCountFrequency (%)
T 1
20.0%
M 1
20.0%
I 1
20.0%
E 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
84.4%
ASCII 19
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8
 
7.8%
업 4
 
3.9%
동 4
 
3.9%
산 4
 
3.9%
영 3
 
2.9%
테 3
 
2.9%
텍 3
 
2.9%
아 3
 
2.9%
크 3
 
2.9%
사 2
 
1.9%
Other values (54) 66
64.1%
ASCII
ValueCountFrequency (%)
( 5
26.3%
) 5
26.3%
2
 
10.5%
T 1
 
5.3%
M 1
 
5.3%
I 1
 
5.3%
4 1
 
5.3%
E 1
 
5.3%
& 1
 
5.3%
P 1
 
5.3%

공장대표주소(도로명)
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size304.0 B
2024-04-22T00:53:26.409141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length26.142857
Min length21

Characters and Unicode

Total characters549
Distinct characters77
Distinct categories6 ?
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 (%)100.0%

Sample

1st row경상남도 함안군 대산면 송산로 743 외 2필지
2nd row경상남도 함안군 칠북면 덕남길 11-1
3rd row경상남도 함안군 법수면 장백로 623-18 (대한정공)
4th row경상남도 함안군 군북면 삼봉로 29 외 3필지
5th row경상남도 함안군 칠원읍 용정리 130-2번지
ValueCountFrequency (%)
경상남도 21
17.1%
함안군 21
17.1%
칠원읍 12
 
9.8%
외 5
 
4.1%
군북면 3
 
2.4%
석전3길 2
 
1.6%
원서로 2
 
1.6%
광려천북로 2
 
1.6%
1필지 2
 
1.6%
2필지 2
 
1.6%
Other values (51) 51
41.5%
2024-04-22T00:53:27.486258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
18.6%
군 24
 
4.4%
안 23
 
4.2%
남 23
 
4.2%
함 23
 
4.2%
경 22
 
4.0%
1 22
 
4.0%
도 21
 
3.8%
상 21
 
3.8%
원 15
 
2.7%
Other values (67) 253
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
61.4%
Space Separator 102
 
18.6%
Decimal Number 80
 
14.6%
Dash Punctuation 12
 
2.2%
Open Punctuation 9
 
1.6%
Close Punctuation 9
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 24
 
7.1%
안 23
 
6.8%
남 23
 
6.8%
함 23
 
6.8%
경 22
 
6.5%
도 21
 
6.2%
상 21
 
6.2%
원 15
 
4.5%
칠 14
 
4.2%
읍 12
 
3.6%
Other values (53) 139
41.2%
Decimal Number
ValueCountFrequency (%)
1 22
27.5%
2 14
17.5%
3 12
15.0%
6 7
 
8.8%
8 5
 
6.2%
5 5
 
6.2%
7 5
 
6.2%
0 4
 
5.0%
9 3
 
3.8%
4 3
 
3.8%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
61.4%
Common 212
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 24
 
7.1%
안 23
 
6.8%
남 23
 
6.8%
함 23
 
6.8%
경 22
 
6.5%
도 21
 
6.2%
상 21
 
6.2%
원 15
 
4.5%
칠 14
 
4.2%
읍 12
 
3.6%
Other values (53) 139
41.2%
Common
ValueCountFrequency (%)
102
48.1%
1 22
 
10.4%
2 14
 
6.6%
3 12
 
5.7%
- 12
 
5.7%
( 9
 
4.2%
) 9
 
4.2%
6 7
 
3.3%
8 5
 
2.4%
5 5
 
2.4%
Other values (4) 15
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
61.4%
ASCII 212
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
48.1%
1 22
 
10.4%
2 14
 
6.6%
3 12
 
5.7%
- 12
 
5.7%
( 9
 
4.2%
) 9
 
4.2%
6 7
 
3.3%
8 5
 
2.4%
5 5
 
2.4%
Other values (4) 15
 
7.1%
Hangul
ValueCountFrequency (%)
군 24
 
7.1%
안 23
 
6.8%
남 23
 
6.8%
함 23
 
6.8%
경 22
 
6.5%
도 21
 
6.2%
상 21
 
6.2%
원 15
 
4.5%
칠 14
 
4.2%
읍 12
 
3.6%
Other values (53) 139
41.2%

공장대표주소(지번)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-22T00:53:28.270290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30.5
Mean length24.454545
Min length21

Characters and Unicode

Total characters538
Distinct characters59
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

Unique22 ?
Unique (%)100.0%

Sample

1st row경상남도 함안군 대산면 평림리 150-5번지 외 2필지
2nd row경상남도 함안군 칠북면 화천리 46번지
3rd row경상남도 함안군 법수면 강주리 566 번지
4th row경상남도 함안군 군북면 유현리 494번지 외 3필지
5th row경상남도 함안군 칠원읍 용정리 130-2번지
ValueCountFrequency (%)
경상남도 22
17.9%
함안군 22
17.9%
칠원읍 13
 
10.6%
외 6
 
4.9%
용정리 5
 
4.1%
군북면 3
 
2.4%
1필지 2
 
1.6%
예곡리 2
 
1.6%
운서리 2
 
1.6%
2필지 2
 
1.6%
Other values (44) 44
35.8%
2024-04-22T00:53:29.454520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
18.8%
군 25
 
4.6%
지 25
 
4.6%
함 23
 
4.3%
안 23
 
4.3%
경 22
 
4.1%
리 22
 
4.1%
남 22
 
4.1%
도 22
 
4.1%
상 22
 
4.1%
Other values (49) 231
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
63.6%
Space Separator 101
 
18.8%
Decimal Number 86
 
16.0%
Dash Punctuation 9
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 25
 
7.3%
지 25
 
7.3%
함 23
 
6.7%
안 23
 
6.7%
경 22
 
6.4%
리 22
 
6.4%
남 22
 
6.4%
도 22
 
6.4%
상 22
 
6.4%
번 19
 
5.6%
Other values (37) 117
34.2%
Decimal Number
ValueCountFrequency (%)
1 17
19.8%
2 12
14.0%
3 11
12.8%
0 10
11.6%
5 9
10.5%
4 8
9.3%
9 6
 
7.0%
6 5
 
5.8%
8 4
 
4.7%
7 4
 
4.7%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
63.6%
Common 196
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 25
 
7.3%
지 25
 
7.3%
함 23
 
6.7%
안 23
 
6.7%
경 22
 
6.4%
리 22
 
6.4%
남 22
 
6.4%
도 22
 
6.4%
상 22
 
6.4%
번 19
 
5.6%
Other values (37) 117
34.2%
Common
ValueCountFrequency (%)
101
51.5%
1 17
 
8.7%
2 12
 
6.1%
3 11
 
5.6%
0 10
 
5.1%
5 9
 
4.6%
- 9
 
4.6%
4 8
 
4.1%
9 6
 
3.1%
6 5
 
2.6%
Other values (2) 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
63.6%
ASCII 196
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
51.5%
1 17
 
8.7%
2 12
 
6.1%
3 11
 
5.6%
0 10
 
5.1%
5 9
 
4.6%
- 9
 
4.6%
4 8
 
4.1%
9 6
 
3.1%
6 5
 
2.6%
Other values (2) 8
 
4.1%
Hangul
ValueCountFrequency (%)
군 25
 
7.3%
지 25
 
7.3%
함 23
 
6.7%
안 23
 
6.7%
경 22
 
6.4%
리 22
 
6.4%
남 22
 
6.4%
도 22
 
6.4%
상 22
 
6.4%
번 19
 
5.6%
Other values (37) 117
34.2%

업종번호
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size304.0 B
22241, 22249
14 
25941, 10799, 22241, 22249, 25924, 25942, 25999
 
1
30399, 22241, 30391, 30392, 30400
 
1
22241, 22211, 22249, 22299
 
1
29294, 22241, 22249
 
1
Other values (4)
4 

Length

Max length47
Median length12
Mean length17.5
Min length7

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st row25941, 10799, 22241, 22249, 25924, 25942, 25999
2nd row30399, 22241, 30391, 30392, 30400
3rd row22241, 22211, 22249, 22299
4th row22241, 22249
5th row22241, 22249

Common Values

ValueCountFrequency (%)
22241, 22249 14
63.6%
25941, 10799, 22241, 22249, 25924, 25942, 25999 1
 
4.5%
30399, 22241, 30391, 30392, 30400 1
 
4.5%
22241, 22211, 22249, 22299 1
 
4.5%
29294, 22241, 22249 1
 
4.5%
22249, 1
 
4.5%
22299, 22241, 22249 1
 
4.5%
22191, 22192, 22211, 22213, 22241, 22249, 22259 1
 
4.5%
25924, 22241, 22249 1
 
4.5%

Length

2024-04-22T00:53:29.901085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:30.286553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22241 21
34.4%
22249 21
34.4%
25924 2
 
3.3%
22299 2
 
3.3%
22211 2
 
3.3%
30400 1
 
1.6%
22213 1
 
1.6%
22192 1
 
1.6%
22191 1
 
1.6%
29294 1
 
1.6%
Other values (8) 8
 
13.1%

업종명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size304.0 B
운송장비 조립용 플라스틱제품 제조업 외 1 종
14 
볼트 및 너트류 제조업 외 6 종
 
1
그 외 자동차용 신품 부품 제조업 외 4 종
 
1
운송장비 조립용 플라스틱제품 제조업 외 3 종
 
1
주형 및 금형 제조업 외 2 종
 
1
Other values (4)
4 

Length

Max length25
Median length25
Mean length23.409091
Min length15

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st row볼트 및 너트류 제조업 외 6 종
2nd row그 외 자동차용 신품 부품 제조업 외 4 종
3rd row운송장비 조립용 플라스틱제품 제조업 외 3 종
4th row운송장비 조립용 플라스틱제품 제조업 외 1 종
5th row운송장비 조립용 플라스틱제품 제조업 외 1 종

Common Values

ValueCountFrequency (%)
운송장비 조립용 플라스틱제품 제조업 외 1 종 14
63.6%
볼트 및 너트류 제조업 외 6 종 1
 
4.5%
그 외 자동차용 신품 부품 제조업 외 4 종 1
 
4.5%
운송장비 조립용 플라스틱제품 제조업 외 3 종 1
 
4.5%
주형 및 금형 제조업 외 2 종 1
 
4.5%
기타 기계.장비 조립용 플라스틱 제품 제조업 1
 
4.5%
그 외 기타 플라스틱 제품 제조업 외 2 종 1
 
4.5%
고무패킹류 제조업 외 6 종 1
 
4.5%
절삭가공 및 유사처리업 외 2 종 1
 
4.5%

Length

2024-04-22T00:53:30.717252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:31.075123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외 23
14.9%
제조업 21
13.6%
종 21
13.6%
조립용 16
10.4%
운송장비 15
9.7%
플라스틱제품 15
9.7%
1 14
9.1%
및 3
 
1.9%
2 3
 
1.9%
6 2
 
1.3%
Other values (17) 21
13.6%

관할조직명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
경상남도 함안군
22 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 함안군
2nd row경상남도 함안군
3rd row경상남도 함안군
4th row경상남도 함안군
5th row경상남도 함안군

Common Values

ValueCountFrequency (%)
경상남도 함안군 22
100.0%

Length

2024-04-22T00:53:31.493217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:31.797162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 22
50.0%
함안군 22
50.0%

설립구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
일반
18 
창업
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창업
2nd row창업
3rd row일반
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
일반 18
81.8%
창업 4
 
18.2%

Length

2024-04-22T00:53:32.119350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:32.429121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 18
81.8%
창업 4
 
18.2%

등록일
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
Minimum1994-03-14 00:00:00
Maximum2022-08-11 00:00:00
2024-04-22T00:53:32.742678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:33.093824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5909091
Minimum2
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-22T00:53:33.430135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q310
95-th percentile19.85
Maximum24
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.795393
Coefficient of variation (CV)0.67459601
Kurtosis1.3523854
Mean8.5909091
Median Absolute Deviation (MAD)3
Skewness1.319195
Sum189
Variance33.58658
MonotonicityNot monotonic
2024-04-22T00:53:33.769492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 4
18.2%
8 4
18.2%
10 4
18.2%
3 3
13.6%
15 1
 
4.5%
20 1
 
4.5%
24 1
 
4.5%
17 1
 
4.5%
6 1
 
4.5%
2 1
 
4.5%
ValueCountFrequency (%)
2 1
 
4.5%
3 3
13.6%
4 1
 
4.5%
5 4
18.2%
6 1
 
4.5%
8 4
18.2%
10 4
18.2%
15 1
 
4.5%
17 1
 
4.5%
20 1
 
4.5%
ValueCountFrequency (%)
24 1
 
4.5%
20 1
 
4.5%
17 1
 
4.5%
15 1
 
4.5%
10 4
18.2%
8 4
18.2%
6 1
 
4.5%
5 4
18.2%
4 1
 
4.5%
3 3
13.6%

생산품
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-22T00:53:34.513803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length18
Mean length12.318182
Min length4

Characters and Unicode

Total characters271
Distinct characters97
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

Unique22 ?
Unique (%)100.0%

Sample

1st row전자부품용 볼트,플라스틱가전부품
2nd row안전벨트부품, 자동차용 플라스틱 부품
3rd rowpe맨홀, 오수받이
4th rowFRP,PIPE,SPOOL,LINE(선박사용제품)
5th row에어컨,냉장고 부품 등
ValueCountFrequency (%)
등 2
 
4.9%
사출성형품 2
 
4.9%
자동차부품 2
 
4.9%
부품 2
 
4.9%
플라스틱사출 1
 
2.4%
비대 1
 
2.4%
가전기기성품 1
 
2.4%
고무패킹 1
 
2.4%
protecyor 1
 
2.4%
hose 1
 
2.4%
Other values (27) 27
65.9%
2024-04-22T00:53:35.734186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
7.0%
품 16
 
5.9%
, 15
 
5.5%
부 11
 
4.1%
사 7
 
2.6%
형 7
 
2.6%
출 6
 
2.2%
P 6
 
2.2%
자 6
 
2.2%
스 6
 
2.2%
Other values (87) 172
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
65.7%
Uppercase Letter 41
 
15.1%
Space Separator 19
 
7.0%
Other Punctuation 15
 
5.5%
Lowercase Letter 12
 
4.4%
Close Punctuation 3
 
1.1%
Open Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 16
 
9.0%
부 11
 
6.2%
사 7
 
3.9%
형 7
 
3.9%
출 6
 
3.4%
자 6
 
3.4%
스 6
 
3.4%
성 6
 
3.4%
플 5
 
2.8%
틱 5
 
2.8%
Other values (57) 103
57.9%
Uppercase Letter
ValueCountFrequency (%)
P 6
14.6%
E 6
14.6%
O 5
12.2%
L 3
 
7.3%
R 3
 
7.3%
C 2
 
4.9%
S 2
 
4.9%
B 2
 
4.9%
A 2
 
4.9%
T 2
 
4.9%
Other values (7) 8
19.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
h 2
16.7%
t 1
 
8.3%
w 1
 
8.3%
l 1
 
8.3%
s 1
 
8.3%
a 1
 
8.3%
f 1
 
8.3%
p 1
 
8.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
65.7%
Latin 53
 
19.6%
Common 40
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 16
 
9.0%
부 11
 
6.2%
사 7
 
3.9%
형 7
 
3.9%
출 6
 
3.4%
자 6
 
3.4%
스 6
 
3.4%
성 6
 
3.4%
플 5
 
2.8%
틱 5
 
2.8%
Other values (57) 103
57.9%
Latin
ValueCountFrequency (%)
P 6
 
11.3%
E 6
 
11.3%
O 5
 
9.4%
L 3
 
5.7%
e 3
 
5.7%
R 3
 
5.7%
C 2
 
3.8%
S 2
 
3.8%
B 2
 
3.8%
A 2
 
3.8%
Other values (16) 19
35.8%
Common
ValueCountFrequency (%)
19
47.5%
, 15
37.5%
) 3
 
7.5%
( 3
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
65.7%
ASCII 93
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
20.4%
, 15
16.1%
P 6
 
6.5%
E 6
 
6.5%
O 5
 
5.4%
L 3
 
3.2%
) 3
 
3.2%
( 3
 
3.2%
e 3
 
3.2%
R 3
 
3.2%
Other values (20) 27
29.0%
Hangul
ValueCountFrequency (%)
품 16
 
9.0%
부 11
 
6.2%
사 7
 
3.9%
형 7
 
3.9%
출 6
 
3.4%
자 6
 
3.4%
스 6
 
3.4%
성 6
 
3.4%
플 5
 
2.8%
틱 5
 
2.8%
Other values (57) 103
57.9%

공장크기
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
소기업
22 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소기업 22
100.0%

Length

2024-04-22T00:53:36.121278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:36.425330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 22
100.0%

용도지역
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
관리지역/계획관리지역
13 
관리지역
8 
도시지역/공업지역/준공업지역
 
1

Length

Max length15
Median length11
Mean length8.6363636
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row관리지역/계획관리지역
2nd row관리지역/계획관리지역
3rd row관리지역/계획관리지역
4th row관리지역/계획관리지역
5th row관리지역

Common Values

ValueCountFrequency (%)
관리지역/계획관리지역 13
59.1%
관리지역 8
36.4%
도시지역/공업지역/준공업지역 1
 
4.5%

Length

2024-04-22T00:53:36.757354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:37.084990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관리지역/계획관리지역 13
59.1%
관리지역 8
36.4%
도시지역/공업지역/준공업지역 1
 
4.5%

지목
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
공장용지
21 
대
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
공장용지 21
95.5%
대 1
 
4.5%

Length

2024-04-22T00:53:37.453312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:53:37.777471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공장용지 21
95.5%
대 1
 
4.5%

용지면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2208.7273
Minimum0
Maximum7892
Zeros2
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-22T00:53:38.085732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.75
Q11079.25
median1288.5
Q32651.75
95-th percentile6523.15
Maximum7892
Range7892
Interquartile range (IQR)1572.5

Descriptive statistics

Standard deviation2052.0054
Coefficient of variation (CV)0.92904427
Kurtosis2.0761663
Mean2208.7273
Median Absolute Deviation (MAD)734.5
Skewness1.5534381
Sum48592
Variance4210726.2
MonotonicityNot monotonic
2024-04-22T00:53:38.483642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 2
 
9.1%
4241 1
 
4.5%
2207 1
 
4.5%
2615 1
 
4.5%
2664 1
 
4.5%
1244 1
 
4.5%
7892 1
 
4.5%
1180 1
 
4.5%
1665 1
 
4.5%
6618 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
0 2
9.1%
335 1
4.5%
900 1
4.5%
1006 1
4.5%
1056 1
4.5%
1149 1
4.5%
1150 1
4.5%
1180 1
4.5%
1244 1
4.5%
1261 1
4.5%
ValueCountFrequency (%)
7892 1
4.5%
6618 1
4.5%
4721 1
4.5%
4241 1
4.5%
3533 1
4.5%
2664 1
4.5%
2615 1
4.5%
2207 1
4.5%
1839 1
4.5%
1665 1
4.5%

건축면적
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1134.5055
Minimum132.23
Maximum6145.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-22T00:53:38.851022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132.23
5-th percentile202.4465
Q1423.1725
median706.77
Q3982.51
95-th percentile3210.0715
Maximum6145.19
Range6012.96
Interquartile range (IQR)559.3375

Descriptive statistics

Standard deviation1348.3734
Coefficient of variation (CV)1.188512
Kurtosis9.1487661
Mean1134.5055
Median Absolute Deviation (MAD)304.39
Skewness2.8612855
Sum24959.12
Variance1818110.8
MonotonicityNot monotonic
2024-04-22T00:53:39.224120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
400.0 2
 
9.1%
1008.78 1
 
4.5%
840.0 1
 
4.5%
1515.04 1
 
4.5%
903.7 1
 
4.5%
195.47 1
 
4.5%
828.0 1
 
4.5%
6145.19 1
 
4.5%
720.06 1
 
4.5%
3241.88 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
132.23 1
4.5%
195.47 1
4.5%
335.0 1
4.5%
370.0 1
4.5%
400.0 2
9.1%
492.69 1
4.5%
573.08 1
4.5%
635.7 1
4.5%
644.0 1
4.5%
693.48 1
4.5%
ValueCountFrequency (%)
6145.19 1
4.5%
3241.88 1
4.5%
2605.71 1
4.5%
1527.8 1
4.5%
1515.04 1
4.5%
1008.78 1
4.5%
903.7 1
4.5%
840.0 1
4.5%
828.0 1
4.5%
751.31 1
4.5%

Interactions

2024-04-22T00:53:21.069150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:18.171866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:19.126381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:20.066654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:21.303499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:18.411046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:19.350307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:20.309588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:21.536843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:18.637131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:19.575979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:20.553068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:21.794671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:18.887826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:19.826851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:53:20.815931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T00:53:39.493025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)공장대표주소(지번)업종번호업종명설립구분등록일종업원수생산품용도지역지목용지면적건축면적
순번1.0001.0001.0001.0000.3360.3360.4831.0000.0001.0000.3920.4390.2330.536
회사명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공장대표주소(도로명)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공장대표주소(지번)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업종번호0.3361.0001.0001.0001.0001.0000.7301.0000.7871.0000.0000.0000.8580.816
업종명0.3361.0001.0001.0001.0001.0000.7301.0000.7871.0000.0000.0000.8580.816
설립구분0.4831.0001.0001.0000.7300.7301.0001.0000.9111.0000.0000.0000.8690.000
등록일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
종업원수0.0001.0001.0001.0000.7870.7870.9111.0001.0001.0000.0000.0000.8530.684
생산품1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
용도지역0.3921.0001.0001.0000.0000.0000.0001.0000.0001.0001.0000.0000.0000.000
지목0.4391.0001.0001.0000.0000.0000.0001.0000.0001.0000.0001.0000.0000.000
용지면적0.2331.0001.0001.0000.8580.8580.8691.0000.8531.0000.0000.0001.0000.871
건축면적0.5361.0001.0001.0000.8160.8160.0001.0000.6841.0000.0000.0000.8711.000
2024-04-22T00:53:39.837650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종번호용도지역업종명설립구분지목
업종번호1.0000.0001.0000.5930.000
용도지역0.0001.0000.0000.0000.000
업종명1.0000.0001.0000.5930.000
설립구분0.5930.0000.5931.0000.000
지목0.0000.0000.0000.0001.000
2024-04-22T00:53:40.110007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수용지면적건축면적업종번호업종명설립구분용도지역지목
순번1.000-0.3270.0590.1210.0000.0000.2550.1460.224
종업원수-0.3271.0000.3310.2960.5040.5040.6160.0000.000
용지면적0.0590.3311.0000.9560.6120.6120.5710.0000.000
건축면적0.1210.2960.9561.0000.5430.5430.0000.0000.000
업종번호0.0000.5040.6120.5431.0001.0000.5930.0000.000
업종명0.0000.5040.6120.5431.0001.0000.5930.0000.000
설립구분0.2550.6160.5710.0000.5930.5931.0000.0000.000
용도지역0.1460.0000.0000.0000.0000.0000.0001.0000.000
지목0.2240.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2024-04-22T00:53:22.170048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T00:53:22.804087image/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

순번회사명공장대표주소(도로명)공장대표주소(지번)업종번호업종명관할조직명설립구분등록일종업원수생산품공장크기용도지역지목용지면적건축면적
01(주)고려화스너경상남도 함안군 대산면 송산로 743 외 2필지경상남도 함안군 대산면 평림리 150-5번지 외 2필지25941, 10799, 22241, 22249, 25924, 25942, 25999볼트 및 너트류 제조업 외 6 종경상남도 함안군창업2022-01-2115전자부품용 볼트,플라스틱가전부품소기업관리지역/계획관리지역공장용지42411008.78
12(주)동경플라텍경상남도 함안군 칠북면 덕남길 11-1경상남도 함안군 칠북면 화천리 46번지30399, 22241, 30391, 30392, 30400그 외 자동차용 신품 부품 제조업 외 4 종경상남도 함안군창업2022-08-1020안전벨트부품, 자동차용 플라스틱 부품소기업관리지역/계획관리지역공장용지35331527.8
23(주)동주경상남도 함안군 법수면 장백로 623-18 (대한정공)경상남도 함안군 법수면 강주리 566 번지22241, 22211, 22249, 22299운송장비 조립용 플라스틱제품 제조업 외 3 종경상남도 함안군일반2011-05-045pe맨홀, 오수받이소기업관리지역/계획관리지역공장용지0132.23
34(주)성일에스아이엠 함안4공장경상남도 함안군 군북면 삼봉로 29 외 3필지경상남도 함안군 군북면 유현리 494번지 외 3필지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2017-10-1824FRP,PIPE,SPOOL,LINE(선박사용제품)소기업관리지역/계획관리지역공장용지47212605.71
45E&P산업경상남도 함안군 칠원읍 용정리 130-2번지경상남도 함안군 칠원읍 용정리 130-2번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2021-06-168에어컨,냉장고 부품 등소기업관리지역공장용지1056635.7
56경남화성경상남도 함안군 군북면 의봉로 26 (경남화성)경상남도 함안군 군북면 월촌리 1175-4번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군창업2001-06-2610사출성형품소기업관리지역공장용지1839644.0
67남일수지경상남도 함안군 칠원읍 광려천북로 266-11 외 2필지경상남도 함안군 칠원읍 예곡리 832-43번지 외 2필지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반1994-03-143성형제품소기업관리지역공장용지900370.0
78동서산업경상남도 함안군 칠원읍 원서로 89-9경상남도 함안군 칠원읍 구성리 913-2번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2015-12-163플라스틱제푸(냉장고부품,자동차부품)소기업관리지역/계획관리지역공장용지1150492.69
89동아테크경상남도 함안군 칠원읍 운서리 720번지 외 1필지 외 1필지경상남도 함안군 칠원읍 운서리 720번지 외 1필지 외 1필지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2015-12-295공작기계소기업관리지역/계획관리지역공장용지1149400.0
910선명사경상남도 함안군 칠원읍 광려천북로 274-11경상남도 함안군 칠원읍 예곡리 832-37번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반1998-05-2710성형사출(인쇄도)소기업관리지역공장용지1261693.48
순번회사명공장대표주소(도로명)공장대표주소(지번)업종번호업종명관할조직명설립구분등록일종업원수생산품공장크기용도지역지목용지면적건축면적
1213시영 IMT경상남도 함안군 칠원읍 원서로 205-13경상남도 함안군 칠원읍 용정리 1035번지22249,기타 기계.장비 조립용 플라스틱 제품 제조업경상남도 함안군창업2019-04-0210천정에어컨배관호스소기업관리지역/계획관리지역공장용지2207840.0
1314신양테크경상남도 함안군 칠원읍 용두산안길 33 (정원산업)경상남도 함안군 칠원읍 용산리 509번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2014-07-166세탁기, 에어컨부품소기업관리지역공장용지1006573.08
1415신영델텍주식회사<NA>경상남도 함안군 칠원읍 유원리 1360-1 외 4필지22299, 22241, 22249그 외 기타 플라스틱 제품 제조업 외 2 종경상남도 함안군일반2020-06-085자동차부품용 사출성형품소기업관리지역/계획관리지역공장용지66183241.88
1516우주테크경상남도 함안군 산인면 신산리 58번지경상남도 함안군 산인면 신산리 58번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2022-08-118플라스틱사출, 자동차부품, 비대소기업관리지역/계획관리지역공장용지1665720.06
1617원텍경상남도 함안군 칠원읍 운서3길 41-86경상남도 함안군 칠원읍 운서리 720-122241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2014-01-225가전기기성품소기업관리지역/계획관리지역공장용지1180400.0
1718유한산업(주)경상남도 함안군 칠원읍 오곡로 132-26경상남도 함안군 칠원읍 오곡리 180-1522191, 22192, 22211, 22213, 22241, 22249, 22259고무패킹류 제조업 외 6 종경상남도 함안군일반2019-08-228고무패킹, PROTECYOR HOSE, CABLE TUBE, PAD 등소기업관리지역/계획관리지역공장용지78926145.19
1819태림정밀경상남도 함안군 칠원읍 석전3길 25 ((주)다우오토텍)경상남도 함안군 칠원읍 용정리 123번지25924, 22241, 22249절삭가공 및 유사처리업 외 2 종경상남도 함안군일반2010-01-202wheel 및 shaft소기업관리지역/계획관리지역공장용지1244828.0
1920피앤아이글로벌경상남도 함안군 칠서면 함의로 72-1경상남도 함안군 칠서면 무릉리 1092번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2015-08-188자동차부품소기업도시지역/공업지역/준공업지역공장용지0195.47
2021한국자원경상남도 함안군 군북면 현포로 65 (한성정공)경상남도 함안군 군북면 소포리 934번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반1997-02-114재생수지및사출소기업관리지역공장용지2664903.7
2122현대엔지니어링경상남도 함안군 칠원읍 석전1길 111-18 (현대엔지니어링)경상남도 함안군 칠원읍 용정리 219번지22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종경상남도 함안군일반2013-09-0510플라스틱성형물,금속도장소기업관리지역/계획관리지역공장용지26151515.04