Overview

Dataset statistics

Number of variables8
Number of observations2153
Missing cells562
Missing cells (%)3.3%
Duplicate rows6
Duplicate rows (%)0.3%
Total size in memory138.9 KiB
Average record size in memory66.1 B

Variable types

Text3
Numeric2
Categorical3

Dataset

Description경기도 파주시 소음진동배출시설 허가 사업장 현황 데이터로 사업장명, 소재지(도로명주소, 지번주소, 위도, 경도) 등의 정보를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15127336/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 6 (0.3%) duplicate rowsDuplicates
소재지도로명주소 has 231 (10.7%) missing valuesMissing
위도 has 158 (7.3%) missing valuesMissing
경도 has 158 (7.3%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:44:31.225737
Analysis finished2024-04-06 08:44:35.414247
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2086
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-04-06T17:44:35.954481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length6.8434742
Min length2

Characters and Unicode

Total characters14734
Distinct characters569
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2024 ?
Unique (%)94.0%

Sample

1st row(S)에스산업
2nd row(사)대한문화체육교육협회가구사업부
3rd row(사)대한정신보건가족협회
4th row(사)장애인고용진흥회 제2파주사업소
5th row(사)한국장애인단체총연맹파주지점
ValueCountFrequency (%)
주식회사 201
 
8.3%
파주공장 5
 
0.2%
파주지점 4
 
0.2%
농업회사법인 3
 
0.1%
대신화학 3
 
0.1%
인테리어 3
 
0.1%
미광사 3
 
0.1%
우솔산업 3
 
0.1%
영진산업 3
 
0.1%
예산철강(주 3
 
0.1%
Other values (2116) 2190
90.5%
2024-04-06T17:44:37.167469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1257
 
8.5%
) 1021
 
6.9%
( 1021
 
6.9%
383
 
2.6%
374
 
2.5%
349
 
2.4%
329
 
2.2%
302
 
2.0%
273
 
1.9%
245
 
1.7%
Other values (559) 9180
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12132
82.3%
Close Punctuation 1021
 
6.9%
Open Punctuation 1021
 
6.9%
Space Separator 273
 
1.9%
Uppercase Letter 204
 
1.4%
Other Punctuation 31
 
0.2%
Lowercase Letter 26
 
0.2%
Decimal Number 24
 
0.2%
Dash Punctuation 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1257
 
10.4%
383
 
3.2%
374
 
3.1%
349
 
2.9%
329
 
2.7%
302
 
2.5%
245
 
2.0%
236
 
1.9%
211
 
1.7%
178
 
1.5%
Other values (513) 8268
68.2%
Uppercase Letter
ValueCountFrequency (%)
C 24
 
11.8%
S 23
 
11.3%
N 14
 
6.9%
H 13
 
6.4%
K 11
 
5.4%
T 11
 
5.4%
E 10
 
4.9%
M 10
 
4.9%
B 10
 
4.9%
G 9
 
4.4%
Other values (12) 69
33.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
19.2%
t 4
15.4%
o 4
15.4%
r 4
15.4%
a 3
11.5%
d 2
 
7.7%
c 1
 
3.8%
x 1
 
3.8%
h 1
 
3.8%
b 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 8
33.3%
2 8
33.3%
3 6
25.0%
0 1
 
4.2%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 20
64.5%
& 8
 
25.8%
, 2
 
6.5%
/ 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 1021
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1021
100.0%
Space Separator
ValueCountFrequency (%)
273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12131
82.3%
Common 2372
 
16.1%
Latin 230
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1257
 
10.4%
383
 
3.2%
374
 
3.1%
349
 
2.9%
329
 
2.7%
302
 
2.5%
245
 
2.0%
236
 
1.9%
211
 
1.7%
178
 
1.5%
Other values (512) 8267
68.1%
Latin
ValueCountFrequency (%)
C 24
 
10.4%
S 23
 
10.0%
N 14
 
6.1%
H 13
 
5.7%
K 11
 
4.8%
T 11
 
4.8%
E 10
 
4.3%
M 10
 
4.3%
B 10
 
4.3%
G 9
 
3.9%
Other values (22) 95
41.3%
Common
ValueCountFrequency (%)
) 1021
43.0%
( 1021
43.0%
273
 
11.5%
. 20
 
0.8%
& 8
 
0.3%
1 8
 
0.3%
2 8
 
0.3%
3 6
 
0.3%
, 2
 
0.1%
- 1
 
< 0.1%
Other values (4) 4
 
0.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12131
82.3%
ASCII 2602
 
17.7%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1257
 
10.4%
383
 
3.2%
374
 
3.1%
349
 
2.9%
329
 
2.7%
302
 
2.5%
245
 
2.0%
236
 
1.9%
211
 
1.7%
178
 
1.5%
Other values (512) 8267
68.1%
ASCII
ValueCountFrequency (%)
) 1021
39.2%
( 1021
39.2%
273
 
10.5%
C 24
 
0.9%
S 23
 
0.9%
. 20
 
0.8%
N 14
 
0.5%
H 13
 
0.5%
K 11
 
0.4%
T 11
 
0.4%
Other values (36) 171
 
6.6%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct1678
Distinct (%)87.3%
Missing231
Missing (%)10.7%
Memory size16.9 KiB
2024-04-06T17:44:37.929607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length21.141519
Min length14

Characters and Unicode

Total characters40634
Distinct characters208
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

Unique1459 ?
Unique (%)75.9%

Sample

1st row경기도 파주시 파주읍 여울길 177
2nd row경기도 파주시 광탄면 부흥로359번길 190
3rd row경기도 파주시 월롱산로 61-50
4th row경기도 파주시 산남로 5-60
5th row경기도 파주시 광탄면 장지산로368번길 69-40
ValueCountFrequency (%)
파주시 1922
20.8%
경기도 1920
20.8%
광탄면 467
 
5.1%
조리읍 279
 
3.0%
탄현면 206
 
2.2%
월롱면 190
 
2.1%
파주읍 189
 
2.0%
법원읍 120
 
1.3%
장지산로 70
 
0.8%
보광로 64
 
0.7%
Other values (1516) 3817
41.3%
2024-04-06T17:44:39.233026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7324
18.0%
2185
 
5.4%
2134
 
5.3%
1938
 
4.8%
1928
 
4.7%
1926
 
4.7%
1923
 
4.7%
1 1611
 
4.0%
1270
 
3.1%
1195
 
2.9%
Other values (198) 17200
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24121
59.4%
Decimal Number 8310
 
20.5%
Space Separator 7324
 
18.0%
Dash Punctuation 879
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2185
 
9.1%
2134
 
8.8%
1938
 
8.0%
1928
 
8.0%
1926
 
8.0%
1923
 
8.0%
1270
 
5.3%
1195
 
5.0%
920
 
3.8%
689
 
2.9%
Other values (186) 8013
33.2%
Decimal Number
ValueCountFrequency (%)
1 1611
19.4%
3 1016
12.2%
2 966
11.6%
4 811
9.8%
5 742
8.9%
6 729
8.8%
8 672
8.1%
0 628
 
7.6%
7 606
 
7.3%
9 529
 
6.4%
Space Separator
ValueCountFrequency (%)
7324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 879
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24121
59.4%
Common 16513
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2185
 
9.1%
2134
 
8.8%
1938
 
8.0%
1928
 
8.0%
1926
 
8.0%
1923
 
8.0%
1270
 
5.3%
1195
 
5.0%
920
 
3.8%
689
 
2.9%
Other values (186) 8013
33.2%
Common
ValueCountFrequency (%)
7324
44.4%
1 1611
 
9.8%
3 1016
 
6.2%
2 966
 
5.8%
- 879
 
5.3%
4 811
 
4.9%
5 742
 
4.5%
6 729
 
4.4%
8 672
 
4.1%
0 628
 
3.8%
Other values (2) 1135
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24121
59.4%
ASCII 16513
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7324
44.4%
1 1611
 
9.8%
3 1016
 
6.2%
2 966
 
5.8%
- 879
 
5.3%
4 811
 
4.9%
5 742
 
4.5%
6 729
 
4.4%
8 672
 
4.1%
0 628
 
3.8%
Other values (2) 1135
 
6.9%
Hangul
ValueCountFrequency (%)
2185
 
9.1%
2134
 
8.8%
1938
 
8.0%
1928
 
8.0%
1926
 
8.0%
1923
 
8.0%
1270
 
5.3%
1195
 
5.0%
920
 
3.8%
689
 
2.9%
Other values (186) 8013
33.2%
Distinct1883
Distinct (%)88.1%
Missing15
Missing (%)0.7%
Memory size16.9 KiB
2024-04-06T17:44:40.056305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length20.030402
Min length13

Characters and Unicode

Total characters42825
Distinct characters124
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

Unique1658 ?
Unique (%)77.5%

Sample

1st row경기도 파주시 파주읍 부곡리 124-2
2nd row경기도 파주시 광탄면 발랑리 404-1
3rd row경기도 파주시 야동동 247-6
4th row경기도 파주시 산남동 368-7
5th row경기도 파주시 광탄면 분수리 236-16
ValueCountFrequency (%)
경기도 2138
20.8%
파주시 2138
20.8%
광탄면 487
 
4.7%
조리읍 287
 
2.8%
탄현면 222
 
2.2%
월롱면 207
 
2.0%
파주읍 200
 
1.9%
분수리 163
 
1.6%
법원읍 131
 
1.3%
덕은리 94
 
0.9%
Other values (1833) 4194
40.9%
2024-04-06T17:44:41.350929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8289
19.4%
2404
 
5.6%
2355
 
5.5%
2193
 
5.1%
2140
 
5.0%
2138
 
5.0%
2138
 
5.0%
1977
 
4.6%
- 1834
 
4.3%
1 1470
 
3.4%
Other values (114) 15887
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24442
57.1%
Space Separator 8289
 
19.4%
Decimal Number 8260
 
19.3%
Dash Punctuation 1834
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2404
 
9.8%
2355
 
9.6%
2193
 
9.0%
2140
 
8.8%
2138
 
8.7%
2138
 
8.7%
1977
 
8.1%
979
 
4.0%
709
 
2.9%
673
 
2.8%
Other values (102) 6736
27.6%
Decimal Number
ValueCountFrequency (%)
1 1470
17.8%
2 1196
14.5%
3 1012
12.3%
4 941
11.4%
5 768
9.3%
6 638
7.7%
7 632
7.7%
8 610
7.4%
9 544
 
6.6%
0 449
 
5.4%
Space Separator
ValueCountFrequency (%)
8289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1834
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24442
57.1%
Common 18383
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2404
 
9.8%
2355
 
9.6%
2193
 
9.0%
2140
 
8.8%
2138
 
8.7%
2138
 
8.7%
1977
 
8.1%
979
 
4.0%
709
 
2.9%
673
 
2.8%
Other values (102) 6736
27.6%
Common
ValueCountFrequency (%)
8289
45.1%
- 1834
 
10.0%
1 1470
 
8.0%
2 1196
 
6.5%
3 1012
 
5.5%
4 941
 
5.1%
5 768
 
4.2%
6 638
 
3.5%
7 632
 
3.4%
8 610
 
3.3%
Other values (2) 993
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24442
57.1%
ASCII 18383
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8289
45.1%
- 1834
 
10.0%
1 1470
 
8.0%
2 1196
 
6.5%
3 1012
 
5.5%
4 941
 
5.1%
5 768
 
4.2%
6 638
 
3.5%
7 632
 
3.4%
8 610
 
3.3%
Other values (2) 993
 
5.4%
Hangul
ValueCountFrequency (%)
2404
 
9.8%
2355
 
9.6%
2193
 
9.0%
2140
 
8.8%
2138
 
8.7%
2138
 
8.7%
1977
 
8.1%
979
 
4.0%
709
 
2.9%
673
 
2.8%
Other values (102) 6736
27.6%

위도
Real number (ℝ)

MISSING 

Distinct1748
Distinct (%)87.6%
Missing158
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean37.78587
Minimum37.696729
Maximum37.99939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.1 KiB
2024-04-06T17:44:41.811447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.696729
5-th percentile37.724925
Q137.75116
median37.781841
Q337.810467
95-th percentile37.871445
Maximum37.99939
Range0.30266119
Interquartile range (IQR)0.05930684

Descriptive statistics

Standard deviation0.04718447
Coefficient of variation (CV)0.0012487332
Kurtosis1.8431229
Mean37.78587
Median Absolute Deviation (MAD)0.02995671
Skewness1.0553365
Sum75382.81
Variance0.0022263742
MonotonicityNot monotonic
2024-04-06T17:44:42.234685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.8169707336 4
 
0.2%
37.8103348405 4
 
0.2%
37.7510189907 3
 
0.1%
37.8712912703 3
 
0.1%
37.7542236679 3
 
0.1%
37.8137059334 3
 
0.1%
37.7772941627 3
 
0.1%
37.7334131828 3
 
0.1%
37.7513089871 3
 
0.1%
37.7591410046 3
 
0.1%
Other values (1738) 1963
91.2%
(Missing) 158
 
7.3%
ValueCountFrequency (%)
37.6967286962 1
< 0.1%
37.6971300262 1
< 0.1%
37.6979273673 1
< 0.1%
37.6980194452 1
< 0.1%
37.7004966998 1
< 0.1%
37.7009537881 1
< 0.1%
37.7027849655 1
< 0.1%
37.7028369024 1
< 0.1%
37.7035467304 2
0.1%
37.7035921458 1
< 0.1%
ValueCountFrequency (%)
37.9993898839 1
< 0.1%
37.9960692602 1
< 0.1%
37.9856268671 2
0.1%
37.9848653262 1
< 0.1%
37.9817633091 1
< 0.1%
37.9801916625 1
< 0.1%
37.979031266 1
< 0.1%
37.9779389806 1
< 0.1%
37.9714438586 1
< 0.1%
37.9608579793 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct1748
Distinct (%)87.6%
Missing158
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean126.80787
Minimum126.68712
Maximum127.0006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.1 KiB
2024-04-06T17:44:42.599539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68712
5-th percentile126.70372
Q1126.75857
median126.8181
Q3126.86177
95-th percentile126.89056
Maximum127.0006
Range0.31348019
Interquartile range (IQR)0.10320576

Descriptive statistics

Standard deviation0.06153731
Coefficient of variation (CV)0.0004852799
Kurtosis-0.91475213
Mean126.80787
Median Absolute Deviation (MAD)0.049133602
Skewness-0.18230783
Sum252981.7
Variance0.0037868406
MonotonicityNot monotonic
2024-04-06T17:44:43.008265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7966231936 4
 
0.2%
126.824413789 4
 
0.2%
126.8823370639 3
 
0.1%
126.8828512754 3
 
0.1%
126.7433896615 3
 
0.1%
126.8030360378 3
 
0.1%
126.8284857229 3
 
0.1%
126.7060950732 3
 
0.1%
126.8197880379 3
 
0.1%
126.7491895715 3
 
0.1%
Other values (1738) 1963
91.2%
(Missing) 158
 
7.3%
ValueCountFrequency (%)
126.6871202921 1
< 0.1%
126.6880272312 1
< 0.1%
126.6891210839 1
< 0.1%
126.6891833284 1
< 0.1%
126.6892600314 2
0.1%
126.6899231815 1
< 0.1%
126.6904086416 1
< 0.1%
126.6905305371 1
< 0.1%
126.6911845104 1
< 0.1%
126.6912277802 1
< 0.1%
ValueCountFrequency (%)
127.0006004777 1
< 0.1%
126.9848633521 1
< 0.1%
126.9783725261 1
< 0.1%
126.9769153366 1
< 0.1%
126.9768910704 1
< 0.1%
126.9768257551 1
< 0.1%
126.9766691513 1
< 0.1%
126.9749890727 2
0.1%
126.974232022 1
< 0.1%
126.9377500044 1
< 0.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
경기도 파주시청
2153 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 2153
100.0%

Length

2024-04-06T17:44:43.424921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:44:43.732292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 2153
50.0%
파주시청 2153
50.0%

관리부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
031-940-8473
2153 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-8473
2nd row031-940-8473
3rd row031-940-8473
4th row031-940-8473
5th row031-940-8473

Common Values

ValueCountFrequency (%)
031-940-8473 2153
100.0%

Length

2024-04-06T17:44:44.043221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:44:44.367510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-8473 2153
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2024-03-18
2153 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-18
2nd row2024-03-18
3rd row2024-03-18
4th row2024-03-18
5th row2024-03-18

Common Values

ValueCountFrequency (%)
2024-03-18 2153
100.0%

Length

2024-04-06T17:44:44.655464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:44:44.948527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-18 2153
100.0%

Interactions

2024-04-06T17:44:33.391540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:44:32.806101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:44:33.666938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:44:33.096029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:44:45.181710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.688
경도0.6881.000
2024-04-06T17:44:45.511278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.153
경도0.1531.000

Missing values

2024-04-06T17:44:34.338611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:44:34.762813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-04-06T17:44:35.117765image/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

사업장명소재지도로명주소소재지지번 주소위도경도관리기관명관리부서전화번호데이터기준일자
0(S)에스산업경기도 파주시 파주읍 여울길 177경기도 파주시 파주읍 부곡리 124-237.809833126.829295경기도 파주시청031-940-84732024-03-18
1(사)대한문화체육교육협회가구사업부경기도 파주시 광탄면 부흥로359번길 190경기도 파주시 광탄면 발랑리 404-137.811686126.885002경기도 파주시청031-940-84732024-03-18
2(사)대한정신보건가족협회경기도 파주시 월롱산로 61-50경기도 파주시 야동동 247-637.779084126.762876경기도 파주시청031-940-84732024-03-18
3(사)장애인고용진흥회 제2파주사업소경기도 파주시 산남로 5-60경기도 파주시 산남동 368-737.707077126.691787경기도 파주시청031-940-84732024-03-18
4(사)한국장애인단체총연맹파주지점경기도 파주시 광탄면 장지산로368번길 69-40경기도 파주시 광탄면 분수리 236-1637.762522126.868815경기도 파주시청031-940-84732024-03-18
5(유)목산경기도 파주시 월롱면 황소바위길 187-81경기도 파주시 월롱면 영태리 84-137.783493126.794278경기도 파주시청031-940-84732024-03-18
6(주)BSM범일경기도 파주시 파주읍 학당말길 148경기도 파주시 파주읍 파주리 23637.838067126.820117경기도 파주시청031-940-84732024-03-18
7(주)CHC윈도우경기도 파주시 월롱산로 128경기도 파주시 야동동 26837.786007126.76087경기도 파주시청031-940-84732024-03-18
8(주)DK케미칼경기도 파주시 탄현면 소리개길 137경기도 파주시 탄현면 법흥리 320-137.790496126.711725경기도 파주시청031-940-84732024-03-18
9(주)G.N.B경기도 파주시 광탄면 벌만장길 216-20경기도 파주시 광탄면 창만리 49837.797565126.856406경기도 파주시청031-940-84732024-03-18
사업장명소재지도로명주소소재지지번 주소위도경도관리기관명관리부서전화번호데이터기준일자
2143효성인쇄사<NA>경기도 파주시 문발동 254-737.723564126.700339경기도 파주시청031-940-84732024-03-18
2144효성전광(주)경기도 파주시 파주읍 학당말길 74경기도 파주시 파주읍 파주리 399-137.835308126.818443경기도 파주시청031-940-84732024-03-18
2145효성전기경기도 파주시 월롱면 한태말길 51경기도 파주시 월롱면 영태리 133-637.779888126.791082경기도 파주시청031-940-84732024-03-18
2146효신개발(주)경기도 파주시 광탄면 부흥로169번길 180경기도 파주시 광탄면 방축리 5-337.808436126.874765경기도 파주시청031-940-84732024-03-18
2147후리코(주)경기도 파주시 문산읍 통일로2010번길 38경기도 파주시 문산읍 운천리 56-10337.881343126.77386경기도 파주시청031-940-84732024-03-18
2148휠리버스경기도 파주시 장명산길 167-8경기도 파주시 오도동 19-3337.746904126.729237경기도 파주시청031-940-84732024-03-18
2149휠마스터경기도 파주시 월롱면 엘지로169번길 7경기도 파주시 월롱면 덕은리 452-337.80988126.780358경기도 파주시청031-940-84732024-03-18
2150흥성원(주)경기도 파주시 광탄면 장지산로200번길 59경기도 파주시 광탄면 분수리 6-2437.755482126.882428경기도 파주시청031-940-84732024-03-18
2151흥주산업경기도 파주시 광탄면 장지산로432번가길 27경기도 파주시 광탄면 분수리 269-937.767583126.863437경기도 파주시청031-940-84732024-03-18
2152희망자원경기도 파주시 광탄면 보광로632번길 26경기도 파주시 광탄면 영장리 179-3737.763251126.906024경기도 파주시청031-940-84732024-03-18

Duplicate rows

Most frequently occurring

사업장명소재지도로명주소소재지지번 주소위도경도관리기관명관리부서전화번호데이터기준일자# duplicates
0(주)케이에스디이앤씨경기도 파주시 월롱면 황소바위길 342-37경기도 파주시 월롱면 영태리 71-437.78232126.803262경기도 파주시청031-940-84732024-03-182
1(주)코리아박텍경기도 파주시 월롱면 공수물길 230-46경기도 파주시 월롱면 영태리 811-2337.789025126.786903경기도 파주시청031-940-84732024-03-182
2예산철강(주)경기도 파주시 방촌로348번길 15경기도 파주시 맥금동 42637.777269126.726628경기도 파주시청031-940-84732024-03-182
3티앤씨샤크(주)경기도 파주시 월롱면 다래울길 158-20경기도 파주시 월롱면 덕은리 117-1437.792827126.778631경기도 파주시청031-940-84732024-03-182
4한림기업(주)경기도 파주시 월롱면 정문로488번길 26경기도 파주시 월롱면 도내리 463-237.799774126.819615경기도 파주시청031-940-84732024-03-182
5한일유리기업(주)경기도 파주시 월롱산로 49-56경기도 파주시 야동동 244-937.778613126.763231경기도 파주시청031-940-84732024-03-182