Overview

Dataset statistics

Number of variables6
Number of observations597
Missing cells25
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.7 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description광양시 관내 제조업종으로 등록된 공장정보 현황(회사명, 전화번호, 주소 등)에 대한 데이터를 전 국민에게 무료로 제공함
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15034924/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 17 (2.8%) missing valuesMissing
공장대표주소(도로명) has 8 (1.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:19:53.175219
Analysis finished2023-12-12 00:19:54.081030
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct597
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299
Minimum1
Maximum597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-12T09:19:54.141999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.8
Q1150
median299
Q3448
95-th percentile567.2
Maximum597
Range596
Interquartile range (IQR)298

Descriptive statistics

Standard deviation172.48333
Coefficient of variation (CV)0.57686733
Kurtosis-1.2
Mean299
Median Absolute Deviation (MAD)149
Skewness0
Sum178503
Variance29750.5
MonotonicityStrictly increasing
2023-12-12T09:19:54.252414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
394 1
 
0.2%
396 1
 
0.2%
397 1
 
0.2%
398 1
 
0.2%
399 1
 
0.2%
400 1
 
0.2%
401 1
 
0.2%
402 1
 
0.2%
403 1
 
0.2%
Other values (587) 587
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
597 1
0.2%
596 1
0.2%
595 1
0.2%
594 1
0.2%
593 1
0.2%
592 1
0.2%
591 1
0.2%
590 1
0.2%
589 1
0.2%
588 1
0.2%

회사명
Text

Distinct583
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T09:19:54.448238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.6281407
Min length2

Characters and Unicode

Total characters4554
Distinct characters349
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique570 ?
Unique (%)95.5%

Sample

1st row(주)대호축산
2nd row(유)믿음식품
3rd row(주)씨엠푸드
4th row(주)봄푸드 제2공장
5th row(주)봄푸드 제1공장
ValueCountFrequency (%)
주식회사 16
 
2.4%
광양공장 11
 
1.6%
제2공장 10
 
1.5%
광양지점 5
 
0.7%
2공장 4
 
0.6%
주)삼우에코 3
 
0.4%
주)에스케이디 3
 
0.4%
하이테크 3
 
0.4%
광양2공장 3
 
0.4%
주)포스코모빌리티솔루션 3
 
0.4%
Other values (580) 618
91.0%
2023-12-12T09:19:54.769131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 423
 
9.3%
( 401
 
8.8%
) 401
 
8.8%
스 141
 
3.1%
이 139
 
3.1%
업 91
 
2.0%
에 89
 
2.0%
82
 
1.8%
엔 78
 
1.7%
산 71
 
1.6%
Other values (339) 2638
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3571
78.4%
Open Punctuation 401
 
8.8%
Close Punctuation 401
 
8.8%
Space Separator 82
 
1.8%
Other Symbol 49
 
1.1%
Decimal Number 29
 
0.6%
Uppercase Letter 21
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 423
 
11.8%
스 141
 
3.9%
이 139
 
3.9%
업 91
 
2.5%
에 89
 
2.5%
엔 78
 
2.2%
산 71
 
2.0%
공 70
 
2.0%
지 69
 
1.9%
광 62
 
1.7%
Other values (318) 2338
65.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
14.3%
E 3
14.3%
S 3
14.3%
P 2
9.5%
H 1
 
4.8%
L 1
 
4.8%
K 1
 
4.8%
T 1
 
4.8%
D 1
 
4.8%
O 1
 
4.8%
Other values (4) 4
19.0%
Decimal Number
ValueCountFrequency (%)
2 19
65.5%
1 6
 
20.7%
3 4
 
13.8%
Open Punctuation
ValueCountFrequency (%)
( 401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 401
100.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3620
79.5%
Common 913
 
20.0%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 423
 
11.7%
스 141
 
3.9%
이 139
 
3.8%
업 91
 
2.5%
에 89
 
2.5%
엔 78
 
2.2%
산 71
 
2.0%
공 70
 
1.9%
지 69
 
1.9%
광 62
 
1.7%
Other values (319) 2387
65.9%
Latin
ValueCountFrequency (%)
C 3
14.3%
E 3
14.3%
S 3
14.3%
P 2
9.5%
H 1
 
4.8%
L 1
 
4.8%
K 1
 
4.8%
T 1
 
4.8%
D 1
 
4.8%
O 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
( 401
43.9%
) 401
43.9%
82
 
9.0%
2 19
 
2.1%
1 6
 
0.7%
3 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3571
78.4%
ASCII 934
 
20.5%
None 49
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 423
 
11.8%
스 141
 
3.9%
이 139
 
3.9%
업 91
 
2.5%
에 89
 
2.5%
엔 78
 
2.2%
산 71
 
2.0%
공 70
 
2.0%
지 69
 
1.9%
광 62
 
1.7%
Other values (318) 2338
65.5%
ASCII
ValueCountFrequency (%)
( 401
42.9%
) 401
42.9%
82
 
8.8%
2 19
 
2.0%
1 6
 
0.6%
3 4
 
0.4%
C 3
 
0.3%
E 3
 
0.3%
S 3
 
0.3%
P 2
 
0.2%
Other values (10) 10
 
1.1%
None
ValueCountFrequency (%)
㈜ 49
100.0%

전화번호
Text

MISSING 

Distinct542
Distinct (%)93.4%
Missing17
Missing (%)2.8%
Memory size4.8 KiB
2023-12-12T09:19:54.950737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.017241
Min length11

Characters and Unicode

Total characters6970
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

Unique506 ?
Unique (%)87.2%

Sample

1st row061-763-0986
2nd row061-763-2958
3rd row061-910-7743
4th row061-762-0744
5th row061-762-0744
ValueCountFrequency (%)
061-772-7941 3
 
0.5%
061-763-7770 3
 
0.5%
061-791-6055 2
 
0.3%
070-7860-6142 2
 
0.3%
061-797-0500 2
 
0.3%
061-793-9600 2
 
0.3%
061-761-0172 2
 
0.3%
061-791-3534 2
 
0.3%
061-762-8351 2
 
0.3%
061-794-0770 2
 
0.3%
Other values (532) 558
96.2%
2023-12-12T09:19:55.239441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1160
16.6%
0 970
13.9%
6 949
13.6%
7 929
13.3%
1 917
13.2%
2 501
7.2%
9 436
 
6.3%
3 299
 
4.3%
5 293
 
4.2%
8 268
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5810
83.4%
Dash Punctuation 1160
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 970
16.7%
6 949
16.3%
7 929
16.0%
1 917
15.8%
2 501
8.6%
9 436
7.5%
3 299
 
5.1%
5 293
 
5.0%
8 268
 
4.6%
4 248
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6970
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1160
16.6%
0 970
13.9%
6 949
13.6%
7 929
13.3%
1 917
13.2%
2 501
7.2%
9 436
 
6.3%
3 299
 
4.3%
5 293
 
4.2%
8 268
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1160
16.6%
0 970
13.9%
6 949
13.6%
7 929
13.3%
1 917
13.2%
2 501
7.2%
9 436
 
6.3%
3 299
 
4.3%
5 293
 
4.2%
8 268
 
3.8%

공장대표주소(도로명)
Text

MISSING 

Distinct541
Distinct (%)91.9%
Missing8
Missing (%)1.3%
Memory size4.8 KiB
2023-12-12T09:19:55.495275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length44
Mean length25.14601
Min length16

Characters and Unicode

Total characters14811
Distinct characters254
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)84.9%

Sample

1st row전라남도 광양시 광양읍 해광로 719-30 ((주)대호축산)
2nd row전라남도 광양시 광양읍 세풍산단1로 116
3rd row전라남도 광양시 군장길 261 (중군동)
4th row전라남도 광양시 광양읍 예구11길 26
5th row전라남도 광양시 광양읍 예구10길 25
ValueCountFrequency (%)
전라남도 589
17.9%
광양시 589
17.9%
광양읍 212
 
6.4%
옥곡면 126
 
3.8%
태인동 92
 
2.8%
외 90
 
2.7%
1필지 49
 
1.5%
금호동 40
 
1.2%
제철로 40
 
1.2%
익신산단1길 24
 
0.7%
Other values (652) 1446
43.9%
2023-12-12T09:19:55.883422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2708
18.3%
광 835
 
5.6%
양 812
 
5.5%
남 649
 
4.4%
도 612
 
4.1%
시 597
 
4.0%
전 593
 
4.0%
라 589
 
4.0%
1 520
 
3.5%
2 361
 
2.4%
Other values (244) 6535
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8958
60.5%
Space Separator 2708
 
18.3%
Decimal Number 2193
 
14.8%
Open Punctuation 323
 
2.2%
Close Punctuation 323
 
2.2%
Dash Punctuation 181
 
1.2%
Other Punctuation 84
 
0.6%
Uppercase Letter 23
 
0.2%
Other Symbol 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 835
 
9.3%
양 812
 
9.1%
남 649
 
7.2%
도 612
 
6.8%
시 597
 
6.7%
전 593
 
6.6%
라 589
 
6.6%
길 329
 
3.7%
동 258
 
2.9%
로 226
 
2.5%
Other values (212) 3458
38.6%
Uppercase Letter
ValueCountFrequency (%)
E 6
26.1%
S 2
 
8.7%
K 2
 
8.7%
D 2
 
8.7%
C 2
 
8.7%
N 2
 
8.7%
G 2
 
8.7%
M 1
 
4.3%
W 1
 
4.3%
T 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 520
23.7%
2 361
16.5%
3 238
10.9%
5 227
10.4%
4 178
 
8.1%
6 164
 
7.5%
0 135
 
6.2%
7 133
 
6.1%
8 121
 
5.5%
9 116
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 81
96.4%
. 2
 
2.4%
: 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 309
95.7%
[ 14
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 309
95.7%
] 14
 
4.3%
Space Separator
ValueCountFrequency (%)
2708
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8976
60.6%
Common 5812
39.2%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 835
 
9.3%
양 812
 
9.0%
남 649
 
7.2%
도 612
 
6.8%
시 597
 
6.7%
전 593
 
6.6%
라 589
 
6.6%
길 329
 
3.7%
동 258
 
2.9%
로 226
 
2.5%
Other values (213) 3476
38.7%
Common
ValueCountFrequency (%)
2708
46.6%
1 520
 
8.9%
2 361
 
6.2%
( 309
 
5.3%
) 309
 
5.3%
3 238
 
4.1%
5 227
 
3.9%
- 181
 
3.1%
4 178
 
3.1%
6 164
 
2.8%
Other values (9) 617
 
10.6%
Latin
ValueCountFrequency (%)
E 6
26.1%
S 2
 
8.7%
K 2
 
8.7%
D 2
 
8.7%
C 2
 
8.7%
N 2
 
8.7%
G 2
 
8.7%
M 1
 
4.3%
W 1
 
4.3%
T 1
 
4.3%
Other values (2) 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8958
60.5%
ASCII 5835
39.4%
None 18
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2708
46.4%
1 520
 
8.9%
2 361
 
6.2%
( 309
 
5.3%
) 309
 
5.3%
3 238
 
4.1%
5 227
 
3.9%
- 181
 
3.1%
4 178
 
3.1%
6 164
 
2.8%
Other values (21) 640
 
11.0%
Hangul
ValueCountFrequency (%)
광 835
 
9.3%
양 812
 
9.1%
남 649
 
7.2%
도 612
 
6.8%
시 597
 
6.7%
전 593
 
6.6%
라 589
 
6.6%
길 329
 
3.7%
동 258
 
2.9%
로 226
 
2.5%
Other values (212) 3458
38.6%
None
ValueCountFrequency (%)
㈜ 18
100.0%

공장대표주소(지번)
Text

Distinct556
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T09:19:56.060831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length42
Mean length23.902848
Min length16

Characters and Unicode

Total characters14270
Distinct characters157
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique522 ?
Unique (%)87.4%

Sample

1st row전라남도 광양시 광양읍 세풍리 367-3번지
2nd row전라남도 광양시 광양읍 세풍리 2237-15
3rd row전라남도 광양시 중군동 161번지
4th row전라남도 광양시 광양읍 덕례리 1786-14
5th row전라남도 광양시 광양읍 덕례리 1786-9
ValueCountFrequency (%)
전라남도 597
19.7%
광양시 597
19.7%
광양읍 207
 
6.8%
옥곡면 123
 
4.0%
신금리 114
 
3.8%
태인동 104
 
3.4%
외 90
 
3.0%
초남리 59
 
1.9%
1필지 49
 
1.6%
금호동 45
 
1.5%
Other values (637) 1053
34.7%
2023-12-12T09:19:56.338860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2441
17.1%
광 827
 
5.8%
양 807
 
5.7%
남 657
 
4.6%
도 613
 
4.3%
시 598
 
4.2%
전 597
 
4.2%
라 597
 
4.2%
지 572
 
4.0%
1 570
 
4.0%
Other values (147) 5991
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8523
59.7%
Decimal Number 2769
 
19.4%
Space Separator 2441
 
17.1%
Dash Punctuation 463
 
3.2%
Close Punctuation 28
 
0.2%
Open Punctuation 28
 
0.2%
Uppercase Letter 10
 
0.1%
Other Punctuation 7
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 827
 
9.7%
양 807
 
9.5%
남 657
 
7.7%
도 613
 
7.2%
시 598
 
7.0%
전 597
 
7.0%
라 597
 
7.0%
지 572
 
6.7%
번 481
 
5.6%
리 384
 
4.5%
Other values (121) 2390
28.0%
Decimal Number
ValueCountFrequency (%)
1 570
20.6%
7 312
11.3%
6 309
11.2%
5 304
11.0%
3 255
9.2%
2 249
9.0%
8 214
 
7.7%
0 192
 
6.9%
4 189
 
6.8%
9 175
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
30.0%
D 2
20.0%
M 1
 
10.0%
C 1
 
10.0%
K 1
 
10.0%
I 1
 
10.0%
A 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 17
60.7%
] 11
39.3%
Open Punctuation
ValueCountFrequency (%)
( 17
60.7%
[ 11
39.3%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
: 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 463
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8524
59.7%
Common 5736
40.2%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 827
 
9.7%
양 807
 
9.5%
남 657
 
7.7%
도 613
 
7.2%
시 598
 
7.0%
전 597
 
7.0%
라 597
 
7.0%
지 572
 
6.7%
번 481
 
5.6%
리 384
 
4.5%
Other values (122) 2391
28.1%
Common
ValueCountFrequency (%)
2441
42.6%
1 570
 
9.9%
- 463
 
8.1%
7 312
 
5.4%
6 309
 
5.4%
5 304
 
5.3%
3 255
 
4.4%
2 249
 
4.3%
8 214
 
3.7%
0 192
 
3.3%
Other values (8) 427
 
7.4%
Latin
ValueCountFrequency (%)
E 3
30.0%
D 2
20.0%
M 1
 
10.0%
C 1
 
10.0%
K 1
 
10.0%
I 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8523
59.7%
ASCII 5746
40.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2441
42.5%
1 570
 
9.9%
- 463
 
8.1%
7 312
 
5.4%
6 309
 
5.4%
5 304
 
5.3%
3 255
 
4.4%
2 249
 
4.3%
8 214
 
3.7%
0 192
 
3.3%
Other values (15) 437
 
7.6%
Hangul
ValueCountFrequency (%)
광 827
 
9.7%
양 807
 
9.5%
남 657
 
7.7%
도 613
 
7.2%
시 598
 
7.0%
전 597
 
7.0%
라 597
 
7.0%
지 572
 
6.7%
번 481
 
5.6%
리 384
 
4.5%
Other values (121) 2390
28.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2023-02-28 00:00:00
Maximum2023-02-28 00:00:00
2023-12-12T09:19:56.432784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:19:56.501881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:19:53.767278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T09:19:53.856720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:19:53.941296image/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.
2023-12-12T09:19:54.033798image/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

연번회사명전화번호공장대표주소(도로명)공장대표주소(지번)데이터기준일
01(주)대호축산061-763-0986전라남도 광양시 광양읍 해광로 719-30 ((주)대호축산)전라남도 광양시 광양읍 세풍리 367-3번지2023-02-28
12(유)믿음식품061-763-2958전라남도 광양시 광양읍 세풍산단1로 116전라남도 광양시 광양읍 세풍리 2237-152023-02-28
23(주)씨엠푸드061-910-7743전라남도 광양시 군장길 261 (중군동)전라남도 광양시 중군동 161번지2023-02-28
34(주)봄푸드 제2공장061-762-0744전라남도 광양시 광양읍 예구11길 26전라남도 광양시 광양읍 덕례리 1786-142023-02-28
45(주)봄푸드 제1공장061-762-0744전라남도 광양시 광양읍 예구10길 25전라남도 광양시 광양읍 덕례리 1786-92023-02-28
56(주)엠제이푸드시스템061-908-7008전라남도 광양시 항만9로 127 (중동, (주)엠제이푸드)전라남도 광양시 중동 1813-13번지2023-02-28
67진이전통식품061-772-5008전라남도 광양시 다압면 평동길 80-12전라남도 광양시 다압면 금천리 1485번지2023-02-28
78섬진강 재첩나라<NA>전라남도 광양시 다압면 신원길 151-24전라남도 광양시 다압면 신원리 1269-1번지2023-02-28
89섬진강사람들061-772-0995전라남도 광양시 진월면 돈탁길 63-47전라남도 광양시 진월면 오사리 1341번지2023-02-28
910섬진강 선포재첩<NA>전라남도 광양시 진월면 선포길 161전라남도 광양시 진월면 진정리 976-1번지2023-02-28
연번회사명전화번호공장대표주소(도로명)공장대표주소(지번)데이터기준일
587588파스텔061-761-1222전라남도 광양시 광양읍 죽림리 1052-1 외 2필지전라남도 광양시 광양읍 죽림리 1052-1 외 2필지2023-02-28
588589(주)에코플러스산업061-794-4901전라남도 광양시 무등길 14 (중동)전라남도 광양시 중동 1449-6번지2023-02-28
589590(주)창조061-792-1114전라남도 광양시 백운1로 214, [명당2지구] (태인동)전라남도 광양시 태인동 28-98번지2023-02-28
590591온누리버섯 영농조합법인061-794-7235전라남도 광양시 항만7로 71-29 (도이동)전라남도 광양시 도이동 848-2번지2023-02-28
591592학강마스터061-772-8025전라남도 광양시 옥곡면 신금산단1길 24전라남도 광양시 옥곡면 신금리 1507-64번지2023-02-28
592593동아공업사061-791-9444전라남도 광양시 옥곡면 강변로 211전라남도 광양시 옥곡면 신금리 1507-722023-02-28
593594수인공업사061-792-5509전라남도 광양시 옥곡면 신금산단3길 9-8전라남도 광양시 옥곡면 신금리 1589-7번지2023-02-28
594595서강기업(주)061-798-0600전라남도 광양시 백운1로 89 (태인동)전라남도 광양시 태인동 1652-6번지2023-02-28
595596(주)광양테크061-795-7333전라남도 광양시 산업로 11, (태인동 1657-12번지) (태인동)전라남도 광양시 태인동 1657-12번지 (태인동 1657-12번지)2023-02-28
596597케이알에스티대한동방(주)054-762-8252전라남도 광양시 옥곡면 강변로 237 외 1필지전라남도 광양시 옥곡면 신금리 1507-66 외 1필지2023-02-28