Overview

Dataset statistics

Number of variables39
Number of observations99
Missing cells2460
Missing cells (%)63.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.0 KiB
Average record size in memory341.3 B

Variable types

Categorical6
Text5
DateTime2
Unsupported22
Numeric4

Alerts

소재지시설전화번호 is highly imbalanced (84.3%)Imbalance
인허가취소일자 has 99 (100.0%) missing valuesMissing
폐업일자 has 89 (89.9%) missing valuesMissing
소재지면적정보 has 99 (100.0%) missing valuesMissing
도로명우편번호 has 63 (63.6%) missing valuesMissing
업태구분명정보 has 99 (100.0%) missing valuesMissing
X좌표값 has 65 (65.7%) missing valuesMissing
Y좌표값 has 65 (65.7%) missing valuesMissing
실험실지역코드 has 99 (100.0%) missing valuesMissing
실험실우편번호 has 99 (100.0%) missing valuesMissing
실험실산명 has 99 (100.0%) missing valuesMissing
실험실번지 has 99 (100.0%) missing valuesMissing
실험실호정보 has 99 (100.0%) missing valuesMissing
실험실통정보 has 99 (100.0%) missing valuesMissing
실험실반정보 has 99 (100.0%) missing valuesMissing
실험실특수주소 has 99 (100.0%) missing valuesMissing
실험실특수동주소 has 99 (100.0%) missing valuesMissing
실험실특수호주소 has 99 (100.0%) missing valuesMissing
실험실도로명주소읍면동정보 has 99 (100.0%) missing valuesMissing
실험실도로명주소읍면동명 has 99 (100.0%) missing valuesMissing
실험실도로명주소정보 has 99 (100.0%) missing valuesMissing
실험실도로명특수주소 has 99 (100.0%) missing valuesMissing
실험실도로명주소건물층구분 has 99 (100.0%) missing valuesMissing
실험실도로명주소건물본번호 has 99 (100.0%) missing valuesMissing
실험실도로명주소건물부번호 has 99 (100.0%) missing valuesMissing
실험실도로명주소우편번호 has 99 (100.0%) missing valuesMissing
실험실도로명시군구정보 has 99 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실지역코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실산명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실번지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실호정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수동주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물층구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물본번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명시군구정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:43:25.162687
Analysis finished2023-12-10 21:43:25.710380
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct22
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
안양시
24 
안산시
18 
성남시
7 
수원시
7 
용인시
7 
Other values (17)
36 

Length

Max length4
Median length3
Mean length3.040404
Min length3

Unique

Unique6 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
안양시 24
24.2%
안산시 18
18.2%
성남시 7
 
7.1%
수원시 7
 
7.1%
용인시 7
 
7.1%
고양시 5
 
5.1%
광명시 4
 
4.0%
의왕시 4
 
4.0%
평택시 3
 
3.0%
부천시 2
 
2.0%
Other values (12) 18
18.2%

Length

2023-12-11T06:43:25.798178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시 24
24.2%
안산시 18
18.2%
성남시 7
 
7.1%
수원시 7
 
7.1%
용인시 7
 
7.1%
고양시 5
 
5.1%
광명시 4
 
4.0%
의왕시 4
 
4.0%
평택시 3
 
3.0%
시흥시 2
 
2.0%
Other values (12) 18
18.2%

사업장명
Text

Distinct88
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T06:43:26.031731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.1818182
Min length4

Characters and Unicode

Total characters909
Distinct characters166
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)78.8%

Sample

1st row(주)서진에너지
2nd row(주)신화엔지니어링
3rd row(주)신화엔지니어링
4th row(주)신화엔지니어링
5th row(주)네오에코즈
ValueCountFrequency (%)
주식회사 17
 
14.5%
주)신화엔지니어링 3
 
2.6%
㈜선일이앤씨 2
 
1.7%
주)뉴텍환경컨설팅 2
 
1.7%
나우환경산업(주 2
 
1.7%
주)이노비 2
 
1.7%
㈜하이텍환경 2
 
1.7%
㈜혜성환경 2
 
1.7%
㈜이피에스솔루션 2
 
1.7%
주)세일이엠에스 2
 
1.7%
Other values (80) 81
69.2%
2023-12-11T06:43:26.442597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 77
 
8.5%
( 63
 
6.9%
) 63
 
6.9%
이 37
 
4.1%
경 28
 
3.1%
엔 26
 
2.9%
환 25
 
2.8%
사 23
 
2.5%
에 20
 
2.2%
지 20
 
2.2%
Other values (156) 527
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
81.8%
Open Punctuation 63
 
6.9%
Close Punctuation 63
 
6.9%
Space Separator 18
 
2.0%
Other Symbol 18
 
2.0%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 77
 
10.3%
이 37
 
5.0%
경 28
 
3.8%
엔 26
 
3.5%
환 25
 
3.4%
사 23
 
3.1%
에 20
 
2.7%
지 20
 
2.7%
회 18
 
2.4%
식 17
 
2.3%
Other values (149) 453
60.9%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
N 1
33.3%
E 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
83.8%
Common 144
 
15.8%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 77
 
10.1%
이 37
 
4.9%
경 28
 
3.7%
엔 26
 
3.4%
환 25
 
3.3%
사 23
 
3.0%
에 20
 
2.6%
지 20
 
2.6%
회 18
 
2.4%
㈜ 18
 
2.4%
Other values (150) 470
61.7%
Common
ValueCountFrequency (%)
( 63
43.8%
) 63
43.8%
18
 
12.5%
Latin
ValueCountFrequency (%)
V 1
33.3%
N 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
81.8%
ASCII 147
 
16.2%
None 18
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 77
 
10.3%
이 37
 
5.0%
경 28
 
3.8%
엔 26
 
3.5%
환 25
 
3.4%
사 23
 
3.1%
에 20
 
2.7%
지 20
 
2.7%
회 18
 
2.4%
식 17
 
2.3%
Other values (149) 453
60.9%
ASCII
ValueCountFrequency (%)
( 63
42.9%
) 63
42.9%
18
 
12.2%
V 1
 
0.7%
N 1
 
0.7%
E 1
 
0.7%
None
ValueCountFrequency (%)
㈜ 18
100.0%

인허가일자
Date

Distinct90
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2012-07-27 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T06:43:26.587776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:43:26.719975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
N
53 
<NA>
45 
Q
 
1

Length

Max length4
Median length1
Mean length2.3636364
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 53
53.5%
<NA> 45
45.5%
Q 1
 
1.0%

Length

2023-12-11T06:43:26.879926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:43:26.994697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 53
53.5%
na 45
45.5%
q 1
 
1.0%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
신규
53 
운영중
45 
폐업
 
1

Length

Max length3
Median length2
Mean length2.4545455
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row신규
2nd row신규
3rd row운영중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
신규 53
53.5%
운영중 45
45.5%
폐업 1
 
1.0%

Length

2023-12-11T06:43:27.120321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:43:27.228408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 53
53.5%
운영중 45
45.5%
폐업 1
 
1.0%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing89
Missing (%)89.9%
Memory size924.0 B
Minimum2014-04-02 00:00:00
Maximum2022-07-25 00:00:00
2023-12-11T06:43:27.328894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:43:27.440657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

소재지시설전화번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
94 
226015310
 
1
315663933
 
1
314785604
 
1
317786686
 
1

Length

Max length9
Median length4
Mean length4.2525253
Min length4

Unique

Unique5 ?
Unique (%)5.1%

Sample

1st row226015310
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 94
94.9%
226015310 1
 
1.0%
315663933 1
 
1.0%
314785604 1
 
1.0%
317786686 1
 
1.0%
318441816 1
 
1.0%

Length

2023-12-11T06:43:27.557240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:43:27.677542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
94.9%
226015310 1
 
1.0%
315663933 1
 
1.0%
314785604 1
 
1.0%
317786686 1
 
1.0%
318441816 1
 
1.0%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

도로명우편번호
Text

MISSING 

Distinct33
Distinct (%)91.7%
Missing63
Missing (%)63.6%
Memory size924.0 B
2023-12-11T06:43:27.888495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0555556
Min length5

Characters and Unicode

Total characters182
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

Unique30 ?
Unique (%)83.3%

Sample

1st row10550
2nd row14353
3rd row14264
4th row14348
5th row11940
ValueCountFrequency (%)
14059 2
 
5.6%
15434 2
 
5.6%
16827 2
 
5.6%
10922 1
 
2.8%
16079 1
 
2.8%
17865 1
 
2.8%
12545 1
 
2.8%
431-837 1
 
2.8%
15578 1
 
2.8%
14084 1
 
2.8%
Other values (23) 23
63.9%
2023-12-11T06:43:28.275432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 37
20.3%
4 25
13.7%
5 25
13.7%
0 18
9.9%
6 15
8.2%
2 13
 
7.1%
3 13
 
7.1%
9 12
 
6.6%
7 12
 
6.6%
8 11
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 37
20.4%
4 25
13.8%
5 25
13.8%
0 18
9.9%
6 15
8.3%
2 13
 
7.2%
3 13
 
7.2%
9 12
 
6.6%
7 12
 
6.6%
8 11
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 37
20.3%
4 25
13.7%
5 25
13.7%
0 18
9.9%
6 15
8.2%
2 13
 
7.1%
3 13
 
7.1%
9 12
 
6.6%
7 12
 
6.6%
8 11
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 37
20.3%
4 25
13.7%
5 25
13.7%
0 18
9.9%
6 15
8.2%
2 13
 
7.1%
3 13
 
7.1%
9 12
 
6.6%
7 12
 
6.6%
8 11
 
6.0%

소재지도로명주소
Text

Distinct94
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T06:43:28.520129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length35.777778
Min length15

Characters and Unicode

Total characters3542
Distinct characters251
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)89.9%

Sample

1st row경기도 고양시 덕양구 삼원로 83, 광양프런티어밸리6차 15층 29,30호 (원흥동)
2nd row경기도 고양시 덕양구 마상로140번길 54, (주)태창할인매장 3층 (주교동)
3rd row경기도 고양시 덕양구 마상로140번길 54, 3층 (주교동)
4th row경기도 고양시 덕양구 마상로140번길 54, (주)태창할인매장 3층 (주교동)
5th row경기도 고양시 일산동구 호수로 358-39, 217호 (백석동,동문굿모닝타워1차)
ValueCountFrequency (%)
경기도 84
 
12.2%
안양시 24
 
3.5%
동안구 23
 
3.3%
안산시 18
 
2.6%
단원구 15
 
2.2%
a동 11
 
1.6%
관양동 9
 
1.3%
수원시 7
 
1.0%
성남시 7
 
1.0%
용인시 7
 
1.0%
Other values (350) 485
70.3%
2023-12-11T06:43:28.952250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
591
 
16.7%
1 165
 
4.7%
동 150
 
4.2%
시 109
 
3.1%
기 95
 
2.7%
로 94
 
2.7%
, 93
 
2.6%
도 92
 
2.6%
경 86
 
2.4%
) 84
 
2.4%
Other values (241) 1983
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1978
55.8%
Decimal Number 645
 
18.2%
Space Separator 591
 
16.7%
Other Punctuation 93
 
2.6%
Close Punctuation 84
 
2.4%
Open Punctuation 84
 
2.4%
Uppercase Letter 42
 
1.2%
Dash Punctuation 23
 
0.6%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 150
 
7.6%
시 109
 
5.5%
기 95
 
4.8%
로 94
 
4.8%
도 92
 
4.7%
경 86
 
4.3%
안 78
 
3.9%
호 76
 
3.8%
구 74
 
3.7%
양 60
 
3.0%
Other values (212) 1064
53.8%
Uppercase Letter
ValueCountFrequency (%)
A 12
28.6%
T 5
11.9%
D 4
 
9.5%
I 4
 
9.5%
E 3
 
7.1%
U 2
 
4.8%
O 2
 
4.8%
W 2
 
4.8%
R 2
 
4.8%
S 2
 
4.8%
Other values (3) 4
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 165
25.6%
0 84
13.0%
2 68
10.5%
3 64
 
9.9%
5 60
 
9.3%
6 60
 
9.3%
4 52
 
8.1%
7 43
 
6.7%
8 29
 
4.5%
9 20
 
3.1%
Space Separator
ValueCountFrequency (%)
591
100.0%
Other Punctuation
ValueCountFrequency (%)
, 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1978
55.8%
Common 1522
43.0%
Latin 42
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 150
 
7.6%
시 109
 
5.5%
기 95
 
4.8%
로 94
 
4.8%
도 92
 
4.7%
경 86
 
4.3%
안 78
 
3.9%
호 76
 
3.8%
구 74
 
3.7%
양 60
 
3.0%
Other values (212) 1064
53.8%
Common
ValueCountFrequency (%)
591
38.8%
1 165
 
10.8%
, 93
 
6.1%
) 84
 
5.5%
( 84
 
5.5%
0 84
 
5.5%
2 68
 
4.5%
3 64
 
4.2%
5 60
 
3.9%
6 60
 
3.9%
Other values (6) 169
 
11.1%
Latin
ValueCountFrequency (%)
A 12
28.6%
T 5
11.9%
D 4
 
9.5%
I 4
 
9.5%
E 3
 
7.1%
U 2
 
4.8%
O 2
 
4.8%
W 2
 
4.8%
R 2
 
4.8%
S 2
 
4.8%
Other values (3) 4
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1978
55.8%
ASCII 1564
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
591
37.8%
1 165
 
10.5%
, 93
 
5.9%
) 84
 
5.4%
( 84
 
5.4%
0 84
 
5.4%
2 68
 
4.3%
3 64
 
4.1%
5 60
 
3.8%
6 60
 
3.8%
Other values (19) 211
 
13.5%
Hangul
ValueCountFrequency (%)
동 150
 
7.6%
시 109
 
5.5%
기 95
 
4.8%
로 94
 
4.8%
도 92
 
4.7%
경 86
 
4.3%
안 78
 
3.9%
호 76
 
3.8%
구 74
 
3.7%
양 60
 
3.0%
Other values (212) 1064
53.8%

소재지지번주소
Text

Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T06:43:29.293085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length30.090909
Min length16

Characters and Unicode

Total characters2979
Distinct characters206
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.9%

Sample

1st row경기도 고양시 덕양구 원흥동 706번지 광양프런티어밸리6차 1529,1530호
2nd row경기도 고양시 덕양구 주교동 616-2 (주)태창할인매장 301호
3rd row경기도 고양시 덕양구 주교동 616-2번지 3층
4th row경기도 고양시 덕양구 주교동 616-2 (주)태창할인매장 301호
5th row경기도 고양시 일산동구 백석동 1323번지 동문굿모닝타워1차 217호
ValueCountFrequency (%)
경기도 99
 
16.0%
안양시 21
 
3.4%
동안구 20
 
3.2%
안산시 18
 
2.9%
단원구 15
 
2.4%
관양동 12
 
1.9%
a동 9
 
1.5%
수원시 7
 
1.1%
용인시 7
 
1.1%
성남시 7
 
1.1%
Other values (288) 405
65.3%
2023-12-11T06:43:29.805644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
 
17.7%
1 150
 
5.0%
동 148
 
5.0%
기 105
 
3.5%
시 104
 
3.5%
도 102
 
3.4%
경 101
 
3.4%
호 75
 
2.5%
안 74
 
2.5%
0 72
 
2.4%
Other values (196) 1520
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1743
58.5%
Decimal Number 603
 
20.2%
Space Separator 528
 
17.7%
Dash Punctuation 55
 
1.8%
Uppercase Letter 43
 
1.4%
Math Symbol 2
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 148
 
8.5%
기 105
 
6.0%
시 104
 
6.0%
도 102
 
5.9%
경 101
 
5.8%
호 75
 
4.3%
안 74
 
4.2%
구 71
 
4.1%
지 70
 
4.0%
번 60
 
3.4%
Other values (168) 833
47.8%
Uppercase Letter
ValueCountFrequency (%)
A 10
23.3%
T 8
18.6%
I 7
16.3%
E 3
 
7.0%
D 3
 
7.0%
R 2
 
4.7%
W 2
 
4.7%
O 2
 
4.7%
U 2
 
4.7%
B 2
 
4.7%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 150
24.9%
0 72
11.9%
2 63
10.4%
6 51
 
8.5%
5 50
 
8.3%
7 50
 
8.3%
3 47
 
7.8%
8 46
 
7.6%
4 38
 
6.3%
9 36
 
6.0%
Space Separator
ValueCountFrequency (%)
528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1743
58.5%
Common 1193
40.0%
Latin 43
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 148
 
8.5%
기 105
 
6.0%
시 104
 
6.0%
도 102
 
5.9%
경 101
 
5.8%
호 75
 
4.3%
안 74
 
4.2%
구 71
 
4.1%
지 70
 
4.0%
번 60
 
3.4%
Other values (168) 833
47.8%
Common
ValueCountFrequency (%)
528
44.3%
1 150
 
12.6%
0 72
 
6.0%
2 63
 
5.3%
- 55
 
4.6%
6 51
 
4.3%
5 50
 
4.2%
7 50
 
4.2%
3 47
 
3.9%
8 46
 
3.9%
Other values (6) 81
 
6.8%
Latin
ValueCountFrequency (%)
A 10
23.3%
T 8
18.6%
I 7
16.3%
E 3
 
7.0%
D 3
 
7.0%
R 2
 
4.7%
W 2
 
4.7%
O 2
 
4.7%
U 2
 
4.7%
B 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1743
58.5%
ASCII 1236
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
42.7%
1 150
 
12.1%
0 72
 
5.8%
2 63
 
5.1%
- 55
 
4.4%
6 51
 
4.1%
5 50
 
4.0%
7 50
 
4.0%
3 47
 
3.8%
8 46
 
3.7%
Other values (18) 124
 
10.0%
Hangul
ValueCountFrequency (%)
동 148
 
8.5%
기 105
 
6.0%
시 104
 
6.0%
도 102
 
5.9%
경 101
 
5.8%
호 75
 
4.3%
안 74
 
4.2%
구 71
 
4.1%
지 70
 
4.0%
번 60
 
3.4%
Other values (168) 833
47.8%

소재지우편번호
Text

Distinct78
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T06:43:30.342529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1313131
Min length5

Characters and Unicode

Total characters508
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

Unique62 ?
Unique (%)62.6%

Sample

1st row10550
2nd row10462
3rd row10462
4th row10462
5th row10449
ValueCountFrequency (%)
14056 4
 
4.0%
16690 3
 
3.0%
14059 3
 
3.0%
10462 3
 
3.0%
15578 2
 
2.0%
15458 2
 
2.0%
13494 2
 
2.0%
15434 2
 
2.0%
14057 2
 
2.0%
16827 2
 
2.0%
Other values (68) 74
74.7%
2023-12-11T06:43:30.798431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 108
21.3%
4 72
14.2%
5 66
13.0%
6 55
10.8%
0 54
10.6%
3 33
 
6.5%
7 32
 
6.3%
8 32
 
6.3%
9 29
 
5.7%
2 26
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 507
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 108
21.3%
4 72
14.2%
5 66
13.0%
6 55
10.8%
0 54
10.7%
3 33
 
6.5%
7 32
 
6.3%
8 32
 
6.3%
9 29
 
5.7%
2 26
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 508
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 108
21.3%
4 72
14.2%
5 66
13.0%
6 55
10.8%
0 54
10.6%
3 33
 
6.5%
7 32
 
6.3%
8 32
 
6.3%
9 29
 
5.7%
2 26
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 108
21.3%
4 72
14.2%
5 66
13.0%
6 55
10.8%
0 54
10.6%
3 33
 
6.5%
7 32
 
6.3%
8 32
 
6.3%
9 29
 
5.7%
2 26
 
5.1%

WGS84위도
Real number (ℝ)

Distinct84
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.380393
Minimum36.989977
Maximum37.7546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T06:43:30.935130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989977
5-th percentile37.157429
Q137.307186
median37.391622
Q337.420054
95-th percentile37.657605
Maximum37.7546
Range0.7646229
Interquartile range (IQR)0.11286765

Descriptive statistics

Standard deviation0.1466073
Coefficient of variation (CV)0.0039220373
Kurtosis1.3287785
Mean37.380393
Median Absolute Deviation (MAD)0.073939263
Skewness0.25697056
Sum3700.6589
Variance0.0214937
MonotonicityNot monotonic
2023-12-11T06:43:31.082796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3916222637 5
 
5.1%
37.6576049043 3
 
3.0%
37.2449526438 2
 
2.0%
37.4005799752 2
 
2.0%
37.4009700962 2
 
2.0%
37.3382501682 2
 
2.0%
37.3058609421 2
 
2.0%
37.7508734813 2
 
2.0%
37.383835995 2
 
2.0%
37.4017965187 2
 
2.0%
Other values (74) 75
75.8%
ValueCountFrequency (%)
36.9899767784 1
1.0%
36.9985948491 1
1.0%
37.0148009891 1
1.0%
37.0623398441 1
1.0%
37.1165473016 1
1.0%
37.1619709939 1
1.0%
37.1987077795 1
1.0%
37.2449526438 2
2.0%
37.2453607762 1
1.0%
37.2486642386 1
1.0%
ValueCountFrequency (%)
37.754599675 1
 
1.0%
37.7508734813 2
2.0%
37.7066880686 1
 
1.0%
37.6576049043 3
3.0%
37.640363152 1
 
1.0%
37.6381778451 1
 
1.0%
37.612693664 1
 
1.0%
37.6045320205 1
 
1.0%
37.5913878701 1
 
1.0%
37.5518151352 1
 
1.0%

WGS84경도
Real number (ℝ)

Distinct84
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.96317
Minimum126.68469
Maximum127.48012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T06:43:31.241140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68469
5-th percentile126.77052
Q1126.83981
median126.96757
Q3127.06
95-th percentile127.16184
Maximum127.48012
Range0.7954324
Interquartile range (IQR)0.22018948

Descriptive statistics

Standard deviation0.13858508
Coefficient of variation (CV)0.0010915377
Kurtosis0.70446463
Mean126.96317
Median Absolute Deviation (MAD)0.10723623
Skewness0.46370103
Sum12569.353
Variance0.019205824
MonotonicityNot monotonic
2023-12-11T06:43:31.398211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.97301115 5
 
5.1%
126.8360087163 3
 
3.0%
127.0599958565 2
 
2.0%
127.1068799859 2
 
2.0%
126.9691155194 2
 
2.0%
127.1016959956 2
 
2.0%
126.7415630811 2
 
2.0%
127.0448258106 2
 
2.0%
126.9476838074 2
 
2.0%
126.9910176434 2
 
2.0%
Other values (74) 75
75.8%
ValueCountFrequency (%)
126.6846879986 1
1.0%
126.7401823247 1
1.0%
126.7415630811 2
2.0%
126.7656620602 1
1.0%
126.7710554547 1
1.0%
126.7782563432 1
1.0%
126.779003171 1
1.0%
126.7813346334 1
1.0%
126.7851123877 1
1.0%
126.7867096575 1
1.0%
ValueCountFrequency (%)
127.4801203967 1
1.0%
127.266289977 1
1.0%
127.2076953235 1
1.0%
127.1698572002 1
1.0%
127.1651202242 1
1.0%
127.161472229 1
1.0%
127.1563375849 1
1.0%
127.1517111837 1
1.0%
127.1430733293 1
1.0%
127.140369973 1
1.0%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

X좌표값
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)94.1%
Missing65
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean196586.64
Minimum177030.53
Maximum242382.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T06:43:31.528775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177030.53
5-th percentile179935.63
Q1184509.91
median195833.79
Q3207949.78
95-th percentile215077.62
Maximum242382.95
Range65352.416
Interquartile range (IQR)23439.874

Descriptive statistics

Standard deviation14590.881
Coefficient of variation (CV)0.074221122
Kurtosis1.2225278
Mean196586.64
Median Absolute Deviation (MAD)12272.04
Skewness0.92100096
Sum6683945.9
Variance2.1289382 × 108
MonotonicityNot monotonic
2023-12-11T06:43:31.667958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
208940.745787289 2
 
2.0%
197536.460660019 2
 
2.0%
185757.263230484 1
 
1.0%
218281.159611217 1
 
1.0%
200874.351586191 1
 
1.0%
211817.981985805 1
 
1.0%
180645.332434837 1
 
1.0%
195798.787281088 1
 
1.0%
242382.949333593 1
 
1.0%
195299.383396423 1
 
1.0%
Other values (22) 22
 
22.2%
(Missing) 65
65.7%
ValueCountFrequency (%)
177030.533761654 1
1.0%
179170.994308057 1
1.0%
180347.364342392 1
1.0%
180645.332434837 1
1.0%
180878.941038538 1
1.0%
181280.653820889 1
1.0%
181575.812880595 1
1.0%
181941.56702977 1
1.0%
184396.666284407 1
1.0%
184849.628133326 1
1.0%
ValueCountFrequency (%)
242382.949333593 1
1.0%
218281.159611217 1
1.0%
213352.638752231 1
1.0%
212590.108287249 1
1.0%
212327.755719687 1
1.0%
211817.981985805 1
1.0%
210834.307532665 1
1.0%
208940.745787289 2
2.0%
204976.8855243 1
1.0%
203942.051924824 1
1.0%

Y좌표값
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)94.1%
Missing65
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean431407.43
Minimum390357.27
Maximum472458.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T06:43:31.793148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum390357.27
5-th percentile409059.81
Q1423187.57
median431523.38
Q3439687.61
95-th percentile457760.02
Maximum472458.61
Range82101.34
Interquartile range (IQR)16500.037

Descriptive statistics

Standard deviation16342.567
Coefficient of variation (CV)0.037881978
Kurtosis1.300402
Mean431407.43
Median Absolute Deviation (MAD)8644.1953
Skewness0.041043985
Sum14667853
Variance2.6707949 × 108
MonotonicityNot monotonic
2023-12-11T06:43:31.936828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
426247.566686926 2
 
2.0%
432133.905985364 2
 
2.0%
422170.607949374 1
 
1.0%
449964.900329853 1
 
1.0%
395598.991534687 1
 
1.0%
390357.271422598 1
 
1.0%
472458.611225545 1
 
1.0%
425169.451069834 1
 
1.0%
445077.964572307 1
 
1.0%
431308.429954024 1
 
1.0%
Other values (22) 22
 
22.2%
(Missing) 65
65.7%
ValueCountFrequency (%)
390357.271422598 1
1.0%
395598.991534687 1
1.0%
416307.941867978 1
1.0%
417080.774457875 1
1.0%
419226.545263995 1
1.0%
422071.749945218 1
1.0%
422170.607949374 1
1.0%
422661.039947603 1
1.0%
423097.328537094 1
1.0%
423458.285743027 1
1.0%
ValueCountFrequency (%)
472458.611225545 1
1.0%
459572.141894188 1
1.0%
456784.268068925 1
1.0%
454348.552511401 1
1.0%
449964.900329853 1
1.0%
445487.202175751 1
1.0%
445077.964572307 1
1.0%
441709.047751898 1
1.0%
440630.869115912 1
1.0%
436857.813363818 1
1.0%

실험실면적정보
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
54 
<NA>
45 

Length

Max length4
Median length1
Mean length2.3636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 54
54.5%
<NA> 45
45.5%

Length

2023-12-11T06:43:32.072315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:43:32.171374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
54.5%
na 45
45.5%

사업장구분명정보
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
환경컨설팅회사
54 
<NA>
45 

Length

Max length7
Median length7
Mean length5.6363636
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경컨설팅회사 54
54.5%
<NA> 45
45.5%

Length

2023-12-11T06:43:32.298700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:43:32.419382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경컨설팅회사 54
54.5%
na 45
45.5%

실험실지역코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실산명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실번지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실호정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실통정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실반정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실특수동주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실특수호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소읍면동정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소읍면동명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소건물층구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소건물본번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명주소우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

실험실도로명시군구정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
0고양시(주)서진에너지2023-08-09<NA>N신규<NA>226015310<NA>10550경기도 고양시 덕양구 삼원로 83, 광양프런티어밸리6차 15층 29,30호 (원흥동)경기도 고양시 덕양구 원흥동 706번지 광양프런티어밸리6차 1529,1530호1055037.638178126.874979<NA>188898.091567459572.1418940환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1고양시(주)신화엔지니어링2023-06-05<NA>N신규<NA><NA><NA><NA>경기도 고양시 덕양구 마상로140번길 54, (주)태창할인매장 3층 (주교동)경기도 고양시 덕양구 주교동 616-2 (주)태창할인매장 301호1046237.657605126.836009<NA><NA><NA>0환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2고양시(주)신화엔지니어링20170330<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 마상로140번길 54, 3층 (주교동)경기도 고양시 덕양구 주교동 616-2번지 3층1046237.657605126.836009<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시(주)신화엔지니어링20180312<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 마상로140번길 54, (주)태창할인매장 3층 (주교동)경기도 고양시 덕양구 주교동 616-2 (주)태창할인매장 301호1046237.657605126.836009<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시(주)네오에코즈20120727<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 358-39, 217호 (백석동,동문굿모닝타워1차)경기도 고양시 일산동구 백석동 1323번지 동문굿모닝타워1차 217호1044937.640363126.78671<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5과천시주식회사 에코파이2023-08-10<NA>N신규<NA><NA><NA><NA>경기도 과천시 별양상가1로 35, 상아빌딩 502호(별양동)경기도 과천시 별양동 1-4 상아빌딩1383737.428542126.993561<NA><NA><NA>0환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6광명시㈜에이앤케이글로벌2022-12-23<NA>N신규<NA><NA><NA>14353경기도 광명시 일직로 43, 지아이디씨 A동 24층 2405호(일직동)경기도 광명시 일직동 514번지1435337.422692126.886968<NA>189919.310946435641.2771780환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7광명시예스이앤씨(주)2023-05-10<NA>N신규<NA><NA><NA><NA>경기도 광명시 신기로 15, S프라자 305호 (일직동)경기도 광명시 일직동 510-7 S프라자 305호1434437.420427126.883031<NA><NA><NA>0환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8광명시주식회사 민애이엔지2023-04-14<NA>N신규<NA><NA><NA>14264경기도 광명시 오리로 923, 대성빌딩 3층 (광명동)경기도 광명시 광명동 158-235 대성빌딩1426437.477471126.860339<NA>187576.92725441709.0477520환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9광명시주식회사 엔솔에코2023-10-27<NA>N신규<NA><NA><NA>14348경기도 광명시 새빛공원로 67, A동 6층 619호 (일직동)경기도 광명시 일직동 515-11434837.41968126.888383<NA>190065.842748435237.5906880환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값실험실면적정보사업장구분명정보실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호실험실도로명시군구정보
89의정부시나우환경산업(주)20161005<NA><NA>운영중<NA><NA><NA><NA>의정부시 평화로 660 동진빌딩 5층경기도 의정부시 가능동 17-1번지 동진빌딩 5층1168537.750873127.044826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
90의정부시나우환경산업(주)2022-01-26<NA>Q폐업2022-07-25318441816<NA><NA>의정부시 평화로 660 동진빌딩 5층경기도 의정부시 가능동 17-1번지 동진빌딩 5층1168537.750873127.044826<NA><NA><NA>0환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
91파주시청해ENV(주)2023-11-09<NA>N신규<NA><NA><NA>10922경기도 파주시 가나무로 143, 파주메트로프라자 301호(금릉동)경기도 파주시 금릉동 211-5 파주메트로프라자 301호1092237.7546126.781335<NA>180645.332435472458.6112260환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92파주시엔큐에이인증원(주)2023-08-09<NA>N신규<NA><NA><NA><NA>경기도 파주시 회동길 37-36 (문발동)경기도 파주시 문발동 527-11088137.706688126.684688<NA><NA><NA>0환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93평택시(주)뉴텍환경컨설팅2023-11-16<NA>N신규<NA><NA><NA>17865경기도 평택시 이화로 238-1, 201호(죽백동)경기도 평택시 죽백동 89-2 201호1786537.014801127.133663<NA>211817.981986390357.2714230환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
94평택시주식회사 디엔씨2023-04-20<NA>N신규<NA><NA><NA>17789경기도 평택시 고덕면 문곡길 82-6경기도 평택시 고덕면 문곡리 538번지1778937.06234127.010481<NA>200874.351586395598.9915350환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
95평택시(주)뉴텍환경컨설팅20180410<NA><NA>운영중<NA><NA><NA><NA>경기도 평택시 중앙2로 123, 2층 (합정동)경기도 평택시 합정동 911-51790636.989977127.100553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
96하남시(주)한국종합기술2022-12-08<NA>N신규<NA><NA><NA>12927경기도 하남시 덕풍동로 111-21, 덕풍동744케이앤몰 201호(덕풍동)경기도 하남시 덕풍동 744번지 덕풍동744케이앤몰 201호1292737.551815127.207695<NA>218281.159611449964.900330환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
97화성시(주)화정엔지니어링2023-07-20<NA>N신규<NA><NA><NA><NA>경기도 화성시 동탄감배산로 143, 202동 1011호(오산동, 동탄역 유림노르웨이숲)경기도 화성시 오산동 978번지 동탄역유림노르웨이숲1847937.198708127.089303<NA><NA><NA>0환경컨설팅회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
98화성시(주)인프라웍스20161207<NA><NA>운영중<NA><NA><NA><NA>화성시 팔탄면 버들로 1553, 204호경기도 화성시 팔탄면 월문리 197-6번지 204호1857737.116547126.873642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>