Overview

Dataset statistics

Number of variables23
Number of observations145
Missing cells328
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory191.9 B

Variable types

Text5
Categorical8
DateTime5
Numeric5

Dataset

Description울진군 관내 기업체 현황 및 공장 등록 현황 자료(회사명, 단지명,, 공장대표주소, 공장크기, 전화번호, 팩스번호, 공장등록일, 면적 등)를 제공합니다.
Author경상북도 울진군
URLhttps://www.data.go.kr/data/3080199/fileData.do

Alerts

기준일자 has constant value ""Constant
공장크기 is highly imbalanced (78.4%)Imbalance
(외남)종업원 is highly imbalanced (86.6%)Imbalance
(외여)종업원 is highly imbalanced (89.5%)Imbalance
전화번호 has 23 (15.9%) missing valuesMissing
팩스번호 has 72 (49.7%) missing valuesMissing
최초설립승인일 has 67 (46.2%) missing valuesMissing
설립승인일 has 108 (74.5%) missing valuesMissing
남종업원 has 8 (5.5%) missing valuesMissing
여종업원 has 50 (34.5%) missing valuesMissing
회사명 has unique valuesUnique
용지면적 has 5 (3.4%) zerosZeros
부대시설면적 has 30 (20.7%) zerosZeros

Reproduction

Analysis started2023-12-12 01:39:51.045786
Analysis finished2023-12-12 01:39:51.752793
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T10:39:52.010065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.3310345
Min length2

Characters and Unicode

Total characters1063
Distinct characters224
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

Unique145 ?
Unique (%)100.0%

Sample

1st row(영)울진광역친환경농업단지조성사업단
2nd row(유)야생초
3rd row(재)경북해양바이오산업연구원
4th row(주) 와이엘정보
5th row(주)건아정보기술
ValueCountFrequency (%)
주식회사 4
 
2.5%
농업회사법인 3
 
1.9%
영)울진광역친환경농업단지조성사업단 1
 
0.6%
신영키토산(주 1
 
0.6%
신화기공 1
 
0.6%
영일만스틸컨테이너 1
 
0.6%
신흥벽돌 1
 
0.6%
아미코젠씨앤씨(주 1
 
0.6%
아현산업 1
 
0.6%
알엔지흙사랑영농조합법인 1
 
0.6%
Other values (142) 142
90.4%
2023-12-12T10:39:52.516336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 71
 
6.7%
( 68
 
6.4%
) 68
 
6.4%
업 36
 
3.4%
산 34
 
3.2%
사 22
 
2.1%
진 20
 
1.9%
동 19
 
1.8%
정 15
 
1.4%
기 13
 
1.2%
Other values (214) 697
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
83.3%
Open Punctuation 68
 
6.4%
Close Punctuation 68
 
6.4%
Space Separator 12
 
1.1%
Uppercase Letter 12
 
1.1%
Lowercase Letter 12
 
1.1%
Other Punctuation 3
 
0.3%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 71
 
8.0%
업 36
 
4.1%
산 34
 
3.8%
사 22
 
2.5%
진 20
 
2.3%
동 19
 
2.1%
정 15
 
1.7%
기 13
 
1.5%
미 13
 
1.5%
대 13
 
1.5%
Other values (191) 630
71.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
16.7%
a 2
16.7%
y 1
8.3%
p 1
8.3%
m 1
8.3%
o 1
8.3%
g 1
8.3%
i 1
8.3%
d 1
8.3%
r 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
N 2
16.7%
K 2
16.7%
T 1
 
8.3%
B 1
 
8.3%
E 1
 
8.3%
H 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
83.3%
Common 153
 
14.4%
Latin 24
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 71
 
8.0%
업 36
 
4.1%
산 34
 
3.8%
사 22
 
2.5%
진 20
 
2.3%
동 19
 
2.1%
정 15
 
1.7%
기 13
 
1.5%
미 13
 
1.5%
대 13
 
1.5%
Other values (191) 630
71.1%
Latin
ValueCountFrequency (%)
C 4
16.7%
n 2
 
8.3%
N 2
 
8.3%
a 2
 
8.3%
K 2
 
8.3%
T 1
 
4.2%
y 1
 
4.2%
p 1
 
4.2%
m 1
 
4.2%
o 1
 
4.2%
Other values (7) 7
29.2%
Common
ValueCountFrequency (%)
( 68
44.4%
) 68
44.4%
12
 
7.8%
2 2
 
1.3%
. 2
 
1.3%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
83.3%
ASCII 177
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 71
 
8.0%
업 36
 
4.1%
산 34
 
3.8%
사 22
 
2.5%
진 20
 
2.3%
동 19
 
2.1%
정 15
 
1.7%
기 13
 
1.5%
미 13
 
1.5%
대 13
 
1.5%
Other values (191) 630
71.1%
ASCII
ValueCountFrequency (%)
( 68
38.4%
) 68
38.4%
12
 
6.8%
C 4
 
2.3%
n 2
 
1.1%
N 2
 
1.1%
2 2
 
1.1%
. 2
 
1.1%
a 2
 
1.1%
K 2
 
1.1%
Other values (13) 13
 
7.3%

단지명
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
108 
울진농공단지
17 
평해농공단지
15 
죽변해양바이오농공단지
 
4
<NA>
 
1

Length

Max length11
Median length1
Mean length2.4
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row
2nd row<NA>
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
108
74.5%
울진농공단지 17
 
11.7%
평해농공단지 15
 
10.3%
죽변해양바이오농공단지 4
 
2.8%
<NA> 1
 
0.7%

Length

2023-12-12T10:39:52.708708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:39:52.853920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울진농공단지 17
45.9%
평해농공단지 15
40.5%
죽변해양바이오농공단지 4
 
10.8%
na 1
 
2.7%

보유구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
자가
89 
임대
56 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가 89
61.4%
임대 56
38.6%

Length

2023-12-12T10:39:53.036824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:39:53.167296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가 89
61.4%
임대 56
38.6%

공장대표주소(도로명)
Text

Distinct136
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T10:39:53.357618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length42
Mean length28.241379
Min length18

Characters and Unicode

Total characters4095
Distinct characters179
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

Unique131 ?
Unique (%)90.3%

Sample

1st row경상북도 울진군 근남면 매오길 259-10 (경축순환자원화센터)
2nd row경상북도 울진군 울진읍 호월1길 172 외 1필지
3rd row경상북도 울진군 죽변면 해양과학길 22 (경북해양바이오산업연구원)
4th row경상북도 울진군 울진읍 고성1길 61-10 (대성전기㈜)
5th row경상북도 울진군 울진읍 울진북로 779-33
ValueCountFrequency (%)
경상북도 145
 
17.2%
울진군 145
 
17.2%
울진읍 35
 
4.1%
죽변면 32
 
3.8%
평해읍 27
 
3.2%
울진북로 26
 
3.1%
후포면 22
 
2.6%
북면 17
 
2.0%
평오곡길 15
 
1.8%
외 14
 
1.7%
Other values (266) 366
43.4%
2023-12-12T10:39:53.794966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
699
 
17.1%
울 221
 
5.4%
진 221
 
5.4%
북 196
 
4.8%
경 156
 
3.8%
상 149
 
3.6%
군 146
 
3.6%
도 145
 
3.5%
1 143
 
3.5%
5 108
 
2.6%
Other values (169) 1911
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2453
59.9%
Space Separator 699
 
17.1%
Decimal Number 673
 
16.4%
Dash Punctuation 95
 
2.3%
Open Punctuation 63
 
1.5%
Close Punctuation 63
 
1.5%
Other Punctuation 35
 
0.9%
Other Symbol 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 221
 
9.0%
진 221
 
9.0%
북 196
 
8.0%
경 156
 
6.4%
상 149
 
6.1%
군 146
 
6.0%
도 145
 
5.9%
면 86
 
3.5%
길 68
 
2.8%
읍 64
 
2.6%
Other values (152) 1001
40.8%
Decimal Number
ValueCountFrequency (%)
1 143
21.2%
5 108
16.0%
2 88
13.1%
4 70
10.4%
7 68
10.1%
3 50
 
7.4%
6 49
 
7.3%
9 34
 
5.1%
0 33
 
4.9%
8 30
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 33
94.3%
. 2
 
5.7%
Space Separator
ValueCountFrequency (%)
699
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2467
60.2%
Common 1628
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 221
 
9.0%
진 221
 
9.0%
북 196
 
7.9%
경 156
 
6.3%
상 149
 
6.0%
군 146
 
5.9%
도 145
 
5.9%
면 86
 
3.5%
길 68
 
2.8%
읍 64
 
2.6%
Other values (153) 1015
41.1%
Common
ValueCountFrequency (%)
699
42.9%
1 143
 
8.8%
5 108
 
6.6%
- 95
 
5.8%
2 88
 
5.4%
4 70
 
4.3%
7 68
 
4.2%
( 63
 
3.9%
) 63
 
3.9%
3 50
 
3.1%
Other values (6) 181
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2453
59.9%
ASCII 1628
39.8%
None 14
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
699
42.9%
1 143
 
8.8%
5 108
 
6.6%
- 95
 
5.8%
2 88
 
5.4%
4 70
 
4.3%
7 68
 
4.2%
( 63
 
3.9%
) 63
 
3.9%
3 50
 
3.1%
Other values (6) 181
 
11.1%
Hangul
ValueCountFrequency (%)
울 221
 
9.0%
진 221
 
9.0%
북 196
 
8.0%
경 156
 
6.4%
상 149
 
6.1%
군 146
 
6.0%
도 145
 
5.9%
면 86
 
3.5%
길 68
 
2.8%
읍 64
 
2.6%
Other values (152) 1001
40.8%
None
ValueCountFrequency (%)
㈜ 14
100.0%

공장크기
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
소기업
140 
중기업
 
5

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 140
96.6%
중기업 5
 
3.4%

Length

2023-12-12T10:39:53.981176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:39:54.124967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 140
96.6%
중기업 5
 
3.4%

전화번호
Text

MISSING 

Distinct119
Distinct (%)97.5%
Missing23
Missing (%)15.9%
Memory size1.3 KiB
2023-12-12T10:39:54.406941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.991803
Min length11

Characters and Unicode

Total characters1463
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

Unique116 ?
Unique (%)95.1%

Sample

1st row054-781-1131
2nd row054-781-1561
3rd row054-780-3401
4th row054-783-5656
5th row054-788-5961
ValueCountFrequency (%)
054-782-5055 2
 
1.6%
054-788-3000 2
 
1.6%
054-783-7480 2
 
1.6%
054-782-1345 1
 
0.8%
054-781-1131 1
 
0.8%
054-781-7780 1
 
0.8%
054-788-3384 1
 
0.8%
054-787-9977 1
 
0.8%
054-782-7269 1
 
0.8%
054-787-1701 1
 
0.8%
Other values (109) 109
89.3%
2023-12-12T10:39:55.038070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 244
16.7%
0 199
13.6%
8 188
12.9%
7 187
12.8%
5 170
11.6%
4 166
11.3%
1 97
 
6.6%
2 78
 
5.3%
3 65
 
4.4%
6 39
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1219
83.3%
Dash Punctuation 244
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 199
16.3%
8 188
15.4%
7 187
15.3%
5 170
13.9%
4 166
13.6%
1 97
8.0%
2 78
 
6.4%
3 65
 
5.3%
6 39
 
3.2%
9 30
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 244
16.7%
0 199
13.6%
8 188
12.9%
7 187
12.8%
5 170
11.6%
4 166
11.3%
1 97
 
6.6%
2 78
 
5.3%
3 65
 
4.4%
6 39
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 244
16.7%
0 199
13.6%
8 188
12.9%
7 187
12.8%
5 170
11.6%
4 166
11.3%
1 97
 
6.6%
2 78
 
5.3%
3 65
 
4.4%
6 39
 
2.7%

팩스번호
Text

MISSING 

Distinct72
Distinct (%)98.6%
Missing72
Missing (%)49.7%
Memory size1.3 KiB
2023-12-12T10:39:55.398251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.986301
Min length11

Characters and Unicode

Total characters875
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

Unique71 ?
Unique (%)97.3%

Sample

1st row054-781-1132
2nd row054-780-3401
3rd row054-783-6500
4th row054-788-5962
5th row054-787-4544
ValueCountFrequency (%)
054-781-6440 2
 
2.7%
053-783-1437 1
 
1.4%
054-788-2399 1
 
1.4%
054-781-4774 1
 
1.4%
054-782-1674 1
 
1.4%
054-787-4448 1
 
1.4%
054-787-7772 1
 
1.4%
054-781-1599 1
 
1.4%
054-781-6715 1
 
1.4%
054-781-2214 1
 
1.4%
Other values (62) 62
84.9%
2023-12-12T10:39:55.930123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 146
16.7%
7 113
12.9%
0 109
12.5%
8 107
12.2%
4 105
12.0%
5 104
11.9%
1 54
 
6.2%
2 51
 
5.8%
3 45
 
5.1%
9 23
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 729
83.3%
Dash Punctuation 146
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 113
15.5%
0 109
15.0%
8 107
14.7%
4 105
14.4%
5 104
14.3%
1 54
7.4%
2 51
7.0%
3 45
 
6.2%
9 23
 
3.2%
6 18
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 875
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 146
16.7%
7 113
12.9%
0 109
12.5%
8 107
12.2%
4 105
12.0%
5 104
11.9%
1 54
 
6.2%
2 51
 
5.8%
3 45
 
5.1%
9 23
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 146
16.7%
7 113
12.9%
0 109
12.5%
8 107
12.2%
4 105
12.0%
5 104
11.9%
1 54
 
6.2%
2 51
 
5.8%
3 45
 
5.1%
9 23
 
2.6%

최초설립승인일
Date

MISSING 

Distinct73
Distinct (%)93.6%
Missing67
Missing (%)46.2%
Memory size1.3 KiB
Minimum1965-04-01 00:00:00
Maximum2023-01-30 00:00:00
2023-12-12T10:39:56.120044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:39:56.336499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설립승인일
Date

MISSING 

Distinct34
Distinct (%)91.9%
Missing108
Missing (%)74.5%
Memory size1.3 KiB
Minimum1965-04-01 00:00:00
Maximum2023-01-30 00:00:00
2023-12-12T10:39:56.517856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:39:56.704534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

최초공장등록일
Date

Distinct136
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1975-05-01 00:00:00
Maximum2023-02-03 00:00:00
2023-12-12T10:39:56.931098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:39:57.149481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공장등록일
Date

Distinct135
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1993-08-25 00:00:00
Maximum2023-02-03 00:00:00
2023-12-12T10:39:57.375205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:39:57.950095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

용지면적
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3538.8701
Minimum0
Maximum33784
Zeros5
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:39:58.113410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65.328
Q1496
median1788.9
Q34900.3
95-th percentile11614.2
Maximum33784
Range33784
Interquartile range (IQR)4404.3

Descriptive statistics

Standard deviation5041.0692
Coefficient of variation (CV)1.4244855
Kurtosis13.691978
Mean3538.8701
Median Absolute Deviation (MAD)1480.96
Skewness3.2068558
Sum513136.17
Variance25412379
MonotonicityNot monotonic
2023-12-12T10:39:58.324439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
3.4%
3328.8 2
 
1.4%
4983.6 2
 
1.4%
1117.0 2
 
1.4%
2207.2 2
 
1.4%
1653.5 2
 
1.4%
164.7 1
 
0.7%
2641.0 1
 
0.7%
915.0 1
 
0.7%
7429.6 1
 
0.7%
Other values (126) 126
86.9%
ValueCountFrequency (%)
0.0 5
3.4%
40.0 1
 
0.7%
50.0 1
 
0.7%
60.0 1
 
0.7%
86.64 1
 
0.7%
97.0 1
 
0.7%
99.0 1
 
0.7%
132.0 1
 
0.7%
146.0 1
 
0.7%
149.0 1
 
0.7%
ValueCountFrequency (%)
33784.0 1
0.7%
29055.0 1
0.7%
23008.0 1
0.7%
17673.0 1
0.7%
14113.6 1
0.7%
11966.4 1
0.7%
11821.7 1
0.7%
11652.0 1
0.7%
11463.0 1
0.7%
10588.0 1
0.7%

제조시설면적
Real number (ℝ)

Distinct139
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean514.07669
Minimum20
Maximum3431.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:39:58.524851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile42
Q1112.09
median266
Q3549.3
95-th percentile2107.288
Maximum3431.83
Range3411.83
Interquartile range (IQR)437.21

Descriptive statistics

Standard deviation642.66739
Coefficient of variation (CV)1.2501391
Kurtosis4.9422142
Mean514.07669
Median Absolute Deviation (MAD)184
Skewness2.2097477
Sum74541.12
Variance413021.37
MonotonicityNot monotonic
2023-12-12T10:39:58.753398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 3
 
2.1%
210.0 2
 
1.4%
134.0 2
 
1.4%
2165.0 2
 
1.4%
42.0 2
 
1.4%
112.09 1
 
0.7%
277.4 1
 
0.7%
997.78 1
 
0.7%
133.6 1
 
0.7%
1669.8 1
 
0.7%
Other values (129) 129
89.0%
ValueCountFrequency (%)
20.0 1
0.7%
21.25 1
0.7%
27.0 1
0.7%
33.0 1
0.7%
34.38 1
0.7%
38.81 1
0.7%
39.9 1
0.7%
42.0 2
1.4%
45.0 1
0.7%
45.09 1
0.7%
ValueCountFrequency (%)
3431.83 1
0.7%
2926.37 1
0.7%
2508.16 1
0.7%
2455.2 1
0.7%
2405.15 1
0.7%
2210.16 1
0.7%
2165.0 2
1.4%
1876.44 1
0.7%
1856.25 1
0.7%
1669.8 1
0.7%

부대시설면적
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean335.65407
Minimum0
Maximum5468.5
Zeros30
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:39:58.954620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.5
median120.96
Q3337
95-th percentile1261.644
Maximum5468.5
Range5468.5
Interquartile range (IQR)317.5

Descriptive statistics

Standard deviation677.05186
Coefficient of variation (CV)2.017112
Kurtosis30.963649
Mean335.65407
Median Absolute Deviation (MAD)120.96
Skewness4.9609516
Sum48669.84
Variance458399.22
MonotonicityNot monotonic
2023-12-12T10:39:59.169582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
 
20.7%
33.0 2
 
1.4%
241.1 2
 
1.4%
1101.37 1
 
0.7%
120.96 1
 
0.7%
431.64 1
 
0.7%
33.84 1
 
0.7%
240.88 1
 
0.7%
337.0 1
 
0.7%
218.6 1
 
0.7%
Other values (104) 104
71.7%
ValueCountFrequency (%)
0.0 30
20.7%
4.86 1
 
0.7%
7.5 1
 
0.7%
9.06 1
 
0.7%
12.5 1
 
0.7%
12.96 1
 
0.7%
15.0 1
 
0.7%
19.5 1
 
0.7%
20.2 1
 
0.7%
21.0 1
 
0.7%
ValueCountFrequency (%)
5468.5 1
0.7%
4359.28 1
0.7%
2316.2 1
0.7%
1861.77 1
0.7%
1696.61 1
0.7%
1638.48 1
0.7%
1305.0 1
0.7%
1280.33 1
0.7%
1186.9 1
0.7%
1101.37 1
0.7%

남종업원
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)12.4%
Missing8
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean4.9051095
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:39:59.386987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile15.2
Maximum27
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7074459
Coefficient of variation (CV)0.95970252
Kurtosis7.2542537
Mean4.9051095
Median Absolute Deviation (MAD)2
Skewness2.4651627
Sum672
Variance22.160047
MonotonicityNot monotonic
2023-12-12T10:39:59.561903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 28
19.3%
3 21
14.5%
1 20
13.8%
4 18
12.4%
5 12
8.3%
7 9
 
6.2%
6 8
 
5.5%
12 5
 
3.4%
8 5
 
3.4%
27 2
 
1.4%
Other values (7) 9
 
6.2%
(Missing) 8
 
5.5%
ValueCountFrequency (%)
1 20
13.8%
2 28
19.3%
3 21
14.5%
4 18
12.4%
5 12
8.3%
6 8
 
5.5%
7 9
 
6.2%
8 5
 
3.4%
9 2
 
1.4%
12 5
 
3.4%
ValueCountFrequency (%)
27 2
 
1.4%
19 2
 
1.4%
18 1
 
0.7%
17 1
 
0.7%
16 1
 
0.7%
15 1
 
0.7%
14 1
 
0.7%
12 5
3.4%
9 2
 
1.4%
8 5
3.4%

여종업원
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)12.6%
Missing50
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean4.6736842
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:39:59.715514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7.3
Maximum167
Range166
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.480957
Coefficient of variation (CV)3.740295
Kurtosis81.478812
Mean4.6736842
Median Absolute Deviation (MAD)1
Skewness8.8136209
Sum444
Variance305.58387
MonotonicityNot monotonic
2023-12-12T10:39:59.899767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 42
29.0%
2 18
 
12.4%
3 14
 
9.7%
5 7
 
4.8%
4 5
 
3.4%
6 3
 
2.1%
8 1
 
0.7%
7 1
 
0.7%
11 1
 
0.7%
43 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 50
34.5%
ValueCountFrequency (%)
1 42
29.0%
2 18
12.4%
3 14
 
9.7%
4 5
 
3.4%
5 7
 
4.8%
6 3
 
2.1%
7 1
 
0.7%
8 1
 
0.7%
11 1
 
0.7%
15 1
 
0.7%
ValueCountFrequency (%)
167 1
 
0.7%
43 1
 
0.7%
15 1
 
0.7%
11 1
 
0.7%
8 1
 
0.7%
7 1
 
0.7%
6 3
 
2.1%
5 7
4.8%
4 5
 
3.4%
3 14
9.7%

(외남)종업원
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
140 
1
 
2
3
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.8965517
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 140
96.6%
1 2
 
1.4%
3 2
 
1.4%
5 1
 
0.7%

Length

2023-12-12T10:40:00.104113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:00.291625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 140
96.6%
1 2
 
1.4%
3 2
 
1.4%
5 1
 
0.7%

(외여)종업원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
143 
1
 
2

Length

Max length4
Median length4
Mean length3.9586207
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 143
98.6%
1 2
 
1.4%

Length

2023-12-12T10:40:00.480954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:00.634882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
98.6%
1 2
 
1.4%

업종명
Text

Distinct86
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T10:40:01.035731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length16.089655
Min length6

Characters and Unicode

Total characters2333
Distinct characters159
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

Unique63 ?
Unique (%)43.4%

Sample

1st row복합비료 및 기타 화학비료 제조업 외 1 종
2nd row김치류 제조업 외 1 종
3rd row수산동물 건조 및 염장품 제조업 외 6 종
4th row방송장비 제조업 외 1 종
5th row방송장비 제조업 외 1 종
ValueCountFrequency (%)
제조업 126
16.7%
외 74
 
9.8%
종 64
 
8.5%
및 57
 
7.5%
기타 37
 
4.9%
1 31
 
4.1%
수산동물 21
 
2.8%
레미콘 13
 
1.7%
냉동품 12
 
1.6%
그 10
 
1.3%
Other values (137) 310
41.1%
2023-12-12T10:40:01.639591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
610
26.1%
조 155
 
6.6%
제 154
 
6.6%
업 147
 
6.3%
외 74
 
3.2%
기 66
 
2.8%
종 64
 
2.7%
및 57
 
2.4%
품 48
 
2.1%
물 42
 
1.8%
Other values (149) 916
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1641
70.3%
Space Separator 610
 
26.1%
Decimal Number 72
 
3.1%
Other Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 155
 
9.4%
제 154
 
9.4%
업 147
 
9.0%
외 74
 
4.5%
기 66
 
4.0%
종 64
 
3.9%
및 57
 
3.5%
품 48
 
2.9%
물 42
 
2.6%
타 40
 
2.4%
Other values (137) 794
48.4%
Decimal Number
ValueCountFrequency (%)
1 37
51.4%
2 9
 
12.5%
3 7
 
9.7%
6 4
 
5.6%
9 4
 
5.6%
4 3
 
4.2%
7 3
 
4.2%
5 3
 
4.2%
0 1
 
1.4%
8 1
 
1.4%
Space Separator
ValueCountFrequency (%)
610
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1641
70.3%
Common 692
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 155
 
9.4%
제 154
 
9.4%
업 147
 
9.0%
외 74
 
4.5%
기 66
 
4.0%
종 64
 
3.9%
및 57
 
3.5%
품 48
 
2.9%
물 42
 
2.6%
타 40
 
2.4%
Other values (137) 794
48.4%
Common
ValueCountFrequency (%)
610
88.2%
1 37
 
5.3%
, 10
 
1.4%
2 9
 
1.3%
3 7
 
1.0%
6 4
 
0.6%
9 4
 
0.6%
4 3
 
0.4%
7 3
 
0.4%
5 3
 
0.4%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1641
70.3%
ASCII 692
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
610
88.2%
1 37
 
5.3%
, 10
 
1.4%
2 9
 
1.3%
3 7
 
1.0%
6 4
 
0.6%
9 4
 
0.6%
4 3
 
0.4%
7 3
 
0.4%
5 3
 
0.4%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
조 155
 
9.4%
제 154
 
9.4%
업 147
 
9.0%
외 74
 
4.5%
기 66
 
4.0%
종 64
 
3.9%
및 57
 
3.5%
품 48
 
2.9%
물 42
 
2.6%
타 40
 
2.4%
Other values (137) 794
48.4%

용도지역
Categorical

Distinct16
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
관리지역/계획관리지역
43 
관리지역
18 
관리지역/관리지역기타
17 
도시지역/공업지역/일반공업지역
16 
도시지역/녹지지역/자연녹지지역
14 
Other values (11)
37 

Length

Max length25
Median length20
Mean length12.531034
Min length4

Unique

Unique4 ?
Unique (%)2.8%

Sample

1st row관리지역/계획관리지역
2nd row관리지역/계획관리지역
3rd row도시지역/녹지지역/자연녹지지역
4th row도시지역/주거지역/제1종일반주거지역
5th row관리지역/계획관리지역

Common Values

ValueCountFrequency (%)
관리지역/계획관리지역 43
29.7%
관리지역 18
12.4%
관리지역/관리지역기타 17
 
11.7%
도시지역/공업지역/일반공업지역 16
 
11.0%
도시지역/녹지지역/자연녹지지역 14
 
9.7%
도시지역/공업지역/준공업지역 9
 
6.2%
도시지역/상업지역/일반상업지역 8
 
5.5%
도시지역/주거지역/제1종일반주거지역 7
 
4.8%
농업진흥구역 3
 
2.1%
관리지역/계획관리지역/개발진흥지구 2
 
1.4%
Other values (6) 8
 
5.5%

Length

2023-12-12T10:40:01.883604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관리지역/계획관리지역 43
29.7%
관리지역 18
12.4%
관리지역/관리지역기타 17
 
11.7%
도시지역/공업지역/일반공업지역 16
 
11.0%
도시지역/녹지지역/자연녹지지역 14
 
9.7%
도시지역/공업지역/준공업지역 9
 
6.2%
도시지역/상업지역/일반상업지역 8
 
5.5%
도시지역/주거지역/제1종일반주거지역 7
 
4.8%
농업진흥구역 3
 
2.1%
관리지역/계획관리지역/개발진흥지구 2
 
1.4%
Other values (6) 8
 
5.5%

지목
Categorical

Distinct7
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
공장용지
80 
대
40 
잡종지
14 
전
 
6
답
 
3
Other values (2)
 
2

Length

Max length4
Median length4
Mean length2.8758621
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
공장용지 80
55.2%
대 40
27.6%
잡종지 14
 
9.7%
전 6
 
4.1%
답 3
 
2.1%
학교용지 1
 
0.7%
임야 1
 
0.7%

Length

2023-12-12T10:40:02.065586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:02.239264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공장용지 80
55.2%
대 40
27.6%
잡종지 14
 
9.7%
전 6
 
4.1%
답 3
 
2.1%
학교용지 1
 
0.7%
임야 1
 
0.7%

공장상태
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
등록변경
76 
신규등록
41 
완료신고
26 
부분등록
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록변경
2nd row등록변경
3rd row완료신고
4th row신규등록
5th row신규등록

Common Values

ValueCountFrequency (%)
등록변경 76
52.4%
신규등록 41
28.3%
완료신고 26
 
17.9%
부분등록 2
 
1.4%

Length

2023-12-12T10:40:02.433420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:02.595533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록변경 76
52.4%
신규등록 41
28.3%
완료신고 26
 
17.9%
부분등록 2
 
1.4%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-02-10 00:00:00
Maximum2023-02-10 00:00:00
2023-12-12T10:40:02.734496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:02.907465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

회사명단지명보유구분공장대표주소(도로명)공장크기전화번호팩스번호최초설립승인일설립승인일최초공장등록일공장등록일용지면적제조시설면적부대시설면적남종업원여종업원(외남)종업원(외여)종업원업종명용도지역지목공장상태기준일자
0(영)울진광역친환경농업단지조성사업단자가경상북도 울진군 근남면 매오길 259-10 (경축순환자원화센터)소기업054-781-1131054-781-1132<NA><NA>2016-01-132016-01-133556.572455.21101.3753<NA><NA>복합비료 및 기타 화학비료 제조업 외 1 종관리지역/계획관리지역잡종지등록변경2023-02-10
1(유)야생초<NA>자가경상북도 울진군 울진읍 호월1길 172 외 1필지소기업054-781-1561<NA><NA><NA>2013-04-152014-01-161396.0170.0271.028<NA><NA>김치류 제조업 외 1 종관리지역/계획관리지역공장용지등록변경2023-02-10
2(재)경북해양바이오산업연구원자가경상북도 울진군 죽변면 해양과학길 22 (경북해양바이오산업연구원)소기업054-780-3401054-780-34012012-04-052012-04-052012-07-252012-07-251117.01096.021.02<NA><NA><NA>수산동물 건조 및 염장품 제조업 외 6 종도시지역/녹지지역/자연녹지지역대완료신고2023-02-10
3(주) 와이엘정보임대경상북도 울진군 울진읍 고성1길 61-10 (대성전기㈜)소기업<NA><NA><NA><NA>2007-04-272007-04-27324.069.245.1661<NA><NA>방송장비 제조업 외 1 종도시지역/주거지역/제1종일반주거지역대신규등록2023-02-10
4(주)건아정보기술임대경상북도 울진군 울진읍 울진북로 779-33소기업054-783-5656054-783-6500<NA><NA>2016-04-222016-04-22985.081.75115.6551<NA><NA>방송장비 제조업 외 1 종관리지역/계획관리지역대신규등록2023-02-10
5(주)경동물산자가경상북도 울진군 후포면 못골길 104 (정동물산)소기업054-788-5961054-788-59621995-12-14<NA>1995-12-212020-03-091802.0191.1188.84<NA><NA><NA>복합비료 및 기타 화학비료 제조업 외 1 종관리지역공장용지등록변경2023-02-10
6(주)경동상사자가경상북도 울진군 후포면 쇠골1길 16-33 (경동상사)소기업054-788-0122<NA>1980-02-011980-02-011980-02-012005-04-181964.0572.2222.3632<NA><NA>배합 사료 제조업 외 1 종관리지역공장용지등록변경2023-02-10
7(주)공항레미콘자가경상북도 울진군 기성면 기성로 287소기업054-787-4545054-787-45442017-03-23<NA>2018-05-042020-08-279053.0883.97183.0661<NA><NA>레미콘 제조업관리지역/계획관리지역공장용지등록변경2023-02-10
8(주)굿또르푸드자가경상북도 울진군 원남면 갈면대평길 285-9소기업054-783-2003054-783-20502011-12-192013-05-232013-07-102013-07-316026.0388.8261.455<NA><NA>기타 곡물 가공품 제조업 외 1 종관리지역/계획관리지역학교용지등록변경2023-02-10
9(주)대금산업안전죽변해양바이오농공단지자가경상북도 울진군 죽변면 매정1길 87소기업<NA>033-572-15402018-02-12<NA>2018-03-052019-03-181788.9259.00.021<NA><NA>구조용 금속 판제품 및 공작물 제조업 외 8 종관리지역/계획관리지역공장용지완료신고2023-02-10
회사명단지명보유구분공장대표주소(도로명)공장크기전화번호팩스번호최초설립승인일설립승인일최초공장등록일공장등록일용지면적제조시설면적부대시설면적남종업원여종업원(외남)종업원(외여)종업원업종명용도지역지목공장상태기준일자
135핸텍임대경상북도 울진군 북면 고목2길 6소기업<NA><NA><NA><NA>2021-03-082021-03-08262.8219.043.821<NA><NA>절삭가공 및 유사처리업 외 17 종관리지역/계획관리지역공장용지신규등록2023-02-10
136현대목재울진농공단지자가경상북도 울진군 울진읍 울진북로 745-47 ((주)현대목재)소기업054-781-4989<NA>2001-08-222001-08-222002-02-062013-01-158303.451410.0126.073<NA><NA><NA>일반 제재업관리지역공장용지등록변경2023-02-10
137현대테크윈(주)임대경상북도 울진군 울진읍 새마실5길 16-9소기업<NA><NA><NA><NA>2008-09-112008-09-11326.076.130.04<NA><NA><NA>공기 조화장치 제조업 외 2 종도시지역/주거지역/제2종일반주거지역대신규등록2023-02-10
138홍익농수산임대경상북도 울진군 평해읍 박실길 37소기업054-787-0655054-787-0656<NA><NA>1997-03-222021-12-091310.0470.0228.7211<NA><NA>수산동물 냉동품 제조업 외 1 종관리지역/계획관리지역공장용지등록변경2023-02-10
139화성기전자가경상북도 울진군 죽변면 후정리 115-1번지소기업054-781-5875054-781-5874<NA><NA>2017-07-062019-03-28496.084.015.01<NA><NA><NA>기타 물품 취급장비 제조업 외 29 종도시지역/녹지지역/자연녹지지역전등록변경2023-02-10
140화성중기공업사임대경상북도 울진군 울진읍 읍남리 352-5번지소기업054-783-1133<NA><NA><NA>2005-06-202005-06-201247.0160.0162.1421<NA><NA>건설 및 채광용 기계장비 제조업도시지역/공업지역/준공업지역대신규등록2023-02-10
141화인시스템(주)울진지점평해농공단지자가경상북도 울진군 평해읍 평오곡길 51-119, (평해농공단지)소기업053-817-8023053-817-80262015-05-26<NA>2016-01-152016-03-091653.5156.660.0126<NA><NA>배전반 및 전기 자동제어반 제조업 외 9 종관리지역/계획관리지역공장용지등록변경2023-02-10
142후포수산업협동조합자가경상북도 울진군 후포면 울진대게로 132 (후포수협제빙냉동공장)소기업054-787-1331054-787-13321989-08-04<NA>1998-08-042019-04-171470.01233.15244.66<NA><NA><NA>수산동물 냉동품 제조업도시지역/공업지역/준공업지역잡종지등록변경2023-02-10
143흥부정미소자가경상북도 울진군 북면 부구리 1036-2번지소기업054-782-0037<NA>1996-08-161996-08-161996-08-162002-02-191139.078.350.01<NA><NA><NA>곡물 도정업농업진흥구역전신규등록2023-02-10
144흥산기공임대경상북도 울진군 죽변면 울진북로 1552 (현대자동차그린써비스죽변점)소기업054-782-1082<NA><NA><NA>2008-04-082010-08-03952.042.07.521<NA><NA>절삭가공 및 유사처리업 외 3 종관리지역/관리지역기타대등록변경2023-02-10