Overview

Dataset statistics

Number of variables31
Number of observations338
Missing cells3437
Missing cells (%)32.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.9 KiB
Average record size in memory260.4 B

Variable types

Numeric3
Categorical11
DateTime7
Unsupported5
Text5

Dataset

Description충청남도 단독정화조오수처리시설설계시공업 현황(사업장명, 소재지주소, 전화번호, 인허가 일자, 인허가 취소일자, 영업상태, 위도, 경도 정보 등) ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15092518?url=http%3A//www.chungnam.go.kr/cnnet/board.do%3Fmnu_url%3D/cnbbs/view.do%3Fboard_seq%3D382705%26mnu_cd%3DCNNMENU02498%26searchCnd%3D0%26pageNo%3D7%26pageGNo%3D0%26showSplitNo%3D10%26code%3D609&version=d7)](https://www.data.go.kr/data/15092518/fileData.do)
URLhttps://www.data.go.kr/data/15092518/fileData.do

Alerts

개방서비스명 has constant value ""Constant
재개업일자 has constant value ""Constant
업태구분명 is highly imbalanced (62.5%)Imbalance
환경업무구분명 is highly imbalanced (97.1%)Imbalance
업종구분명 is highly imbalanced (62.5%)Imbalance
인허가취소일자 has 338 (100.0%) missing valuesMissing
폐업일자 has 133 (39.3%) missing valuesMissing
휴업시작일자 has 329 (97.3%) missing valuesMissing
휴업종료일자 has 330 (97.6%) missing valuesMissing
재개업일자 has 337 (99.7%) missing valuesMissing
소재지우편번호 has 42 (12.4%) missing valuesMissing
도로명전체주소 has 134 (39.6%) missing valuesMissing
도로명우편번호 has 244 (72.2%) missing valuesMissing
좌표정보(x) has 98 (29.0%) missing valuesMissing
좌표정보(y) has 98 (29.0%) missing valuesMissing
종별명 has 338 (100.0%) missing valuesMissing
주생산품명 has 338 (100.0%) missing valuesMissing
배출시설조업시간 has 338 (100.0%) missing valuesMissing
방지시설조업시간 has 338 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 14:31:56.529385
Analysis finished2023-12-12 14:31:57.297265
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct338
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.5
Minimum1
Maximum338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T23:31:57.373165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.85
Q185.25
median169.5
Q3253.75
95-th percentile321.15
Maximum338
Range337
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation97.716426
Coefficient of variation (CV)0.57649809
Kurtosis-1.2
Mean169.5
Median Absolute Deviation (MAD)84.5
Skewness0
Sum57291
Variance9548.5
MonotonicityStrictly increasing
2023-12-12T23:31:57.559636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
224 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
Other values (328) 328
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
단독정화조/오수처리시설설계시공업
338 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단독정화조/오수처리시설설계시공업
2nd row단독정화조/오수처리시설설계시공업
3rd row단독정화조/오수처리시설설계시공업
4th row단독정화조/오수처리시설설계시공업
5th row단독정화조/오수처리시설설계시공업

Common Values

ValueCountFrequency (%)
단독정화조/오수처리시설설계시공업 338
100.0%

Length

2023-12-12T23:31:57.771988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:57.919206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독정화조/오수처리시설설계시공업 338
100.0%

인허가일자
Date

Distinct308
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1985-04-26 00:00:00
Maximum2022-11-18 00:00:00
2023-12-12T23:31:58.053689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:31:58.231612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing338
Missing (%)100.0%
Memory size3.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3
214 
1
115 
2
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 214
63.3%
1 115
34.0%
2 9
 
2.7%

Length

2023-12-12T23:31:58.397735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:58.507489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 214
63.3%
1 115
34.0%
2 9
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
214 
영업/정상
115 
휴업
 
9

Length

Max length5
Median length2
Mean length3.0207101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴업
2nd row휴업
3rd row휴업
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 214
63.3%
영업/정상 115
34.0%
휴업 9
 
2.7%

Length

2023-12-12T23:31:58.636101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:58.761772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 214
63.3%
영업/정상 115
34.0%
휴업 9
 
2.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2
205 
11
114 
1
 
9
4
 
9
3
 
1

Length

Max length2
Median length1
Mean length1.3372781
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row1
3rd row1
4th row11
5th row11

Common Values

ValueCountFrequency (%)
2 205
60.7%
11 114
33.7%
1 9
 
2.7%
4 9
 
2.7%
3 1
 
0.3%

Length

2023-12-12T23:31:58.893709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:59.012824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 205
60.7%
11 114
33.7%
1 9
 
2.7%
4 9
 
2.7%
3 1
 
0.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
205 
영업
114 
휴업
 
9
폐쇄
 
9
재개업
 
1

Length

Max length3
Median length2
Mean length2.0029586
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row휴업
2nd row휴업
3rd row휴업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
폐업 205
60.7%
영업 114
33.7%
휴업 9
 
2.7%
폐쇄 9
 
2.7%
재개업 1
 
0.3%

Length

2023-12-12T23:31:59.159612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:59.299176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 205
60.7%
영업 114
33.7%
휴업 9
 
2.7%
폐쇄 9
 
2.7%
재개업 1
 
0.3%

폐업일자
Date

MISSING 

Distinct180
Distinct (%)87.8%
Missing133
Missing (%)39.3%
Memory size2.8 KiB
Minimum1999-11-25 00:00:00
Maximum2023-02-06 00:00:00
2023-12-12T23:31:59.439587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:31:59.620548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct8
Distinct (%)88.9%
Missing329
Missing (%)97.3%
Memory size2.8 KiB
Minimum2002-05-23 00:00:00
Maximum2020-05-28 00:00:00
2023-12-12T23:31:59.761750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:31:59.892212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)87.5%
Missing330
Missing (%)97.6%
Memory size2.8 KiB
Minimum2003-05-20 00:00:00
Maximum2023-05-28 00:00:00
2023-12-12T23:32:00.015019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:32:00.134116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing337
Missing (%)99.7%
Memory size2.8 KiB
Minimum2011-12-22 00:00:00
Maximum2011-12-22 00:00:00
2023-12-12T23:32:00.264019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:32:00.381197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

소재지우편번호
Text

MISSING 

Distinct150
Distinct (%)50.7%
Missing42
Missing (%)12.4%
Memory size2.8 KiB
2023-12-12T23:32:00.744083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2072
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

Unique87 ?
Unique (%)29.4%

Sample

1st row330-782
2nd row330-210
3rd row330-072
4th row330-170
5th row330-831
ValueCountFrequency (%)
330-170 13
 
4.4%
320-030 12
 
4.1%
323-800 10
 
3.4%
350-903 8
 
2.7%
323-806 7
 
2.4%
330-060 7
 
2.4%
350-800 6
 
2.0%
355-070 5
 
1.7%
357-901 5
 
1.7%
320-933 5
 
1.7%
Other values (140) 218
73.6%
2023-12-12T23:32:01.564717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 472
22.8%
0 447
21.6%
- 296
14.3%
1 154
 
7.4%
5 150
 
7.2%
2 141
 
6.8%
8 138
 
6.7%
4 87
 
4.2%
9 70
 
3.4%
6 68
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1776
85.7%
Dash Punctuation 296
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 472
26.6%
0 447
25.2%
1 154
 
8.7%
5 150
 
8.4%
2 141
 
7.9%
8 138
 
7.8%
4 87
 
4.9%
9 70
 
3.9%
6 68
 
3.8%
7 49
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2072
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 472
22.8%
0 447
21.6%
- 296
14.3%
1 154
 
7.4%
5 150
 
7.2%
2 141
 
6.8%
8 138
 
6.7%
4 87
 
4.2%
9 70
 
3.4%
6 68
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 472
22.8%
0 447
21.6%
- 296
14.3%
1 154
 
7.4%
5 150
 
7.2%
2 141
 
6.8%
8 138
 
6.7%
4 87
 
4.2%
9 70
 
3.4%
6 68
 
3.3%

소재지전체주소
Text

Distinct263
Distinct (%)78.3%
Missing2
Missing (%)0.6%
Memory size2.8 KiB
2023-12-12T23:32:01.939350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length21.300595
Min length12

Characters and Unicode

Total characters7157
Distinct characters190
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

Unique217 ?
Unique (%)64.6%

Sample

1st row충청남도 천안시 서북구 쌍용동 1007
2nd row충청남도 천안시 서북구 두정동 1192 성주빌딩2층
3rd row충청남도 천안시 동남구 원성동 581-5
4th row충청남도 천안시 서북구 성정동 320-7
5th row충청남도 천안시 서북구 성거읍 모전리 37-1
ValueCountFrequency (%)
충청남도 336
 
20.6%
천안시 67
 
4.1%
논산시 35
 
2.1%
서북구 34
 
2.1%
동남구 33
 
2.0%
당진시 31
 
1.9%
부여군 29
 
1.8%
홍성군 28
 
1.7%
아산시 25
 
1.5%
서산시 24
 
1.5%
Other values (488) 990
60.7%
2023-12-12T23:32:02.409339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1299
 
18.2%
남 404
 
5.6%
청 352
 
4.9%
도 343
 
4.8%
충 337
 
4.7%
1 277
 
3.9%
- 256
 
3.6%
동 232
 
3.2%
시 229
 
3.2%
2 180
 
2.5%
Other values (180) 3248
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4241
59.3%
Decimal Number 1348
 
18.8%
Space Separator 1299
 
18.2%
Dash Punctuation 256
 
3.6%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 404
 
9.5%
청 352
 
8.3%
도 343
 
8.1%
충 337
 
7.9%
동 232
 
5.5%
시 229
 
5.4%
리 179
 
4.2%
산 168
 
4.0%
읍 129
 
3.0%
군 111
 
2.6%
Other values (161) 1757
41.4%
Decimal Number
ValueCountFrequency (%)
1 277
20.5%
2 180
13.4%
3 150
11.1%
5 144
10.7%
4 125
9.3%
0 111
8.2%
9 104
 
7.7%
6 99
 
7.3%
8 85
 
6.3%
7 73
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
T 1
25.0%
B 1
25.0%
I 1
25.0%
Space Separator
ValueCountFrequency (%)
1299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4241
59.3%
Common 2912
40.7%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 404
 
9.5%
청 352
 
8.3%
도 343
 
8.1%
충 337
 
7.9%
동 232
 
5.5%
시 229
 
5.4%
리 179
 
4.2%
산 168
 
4.0%
읍 129
 
3.0%
군 111
 
2.6%
Other values (161) 1757
41.4%
Common
ValueCountFrequency (%)
1299
44.6%
1 277
 
9.5%
- 256
 
8.8%
2 180
 
6.2%
3 150
 
5.2%
5 144
 
4.9%
4 125
 
4.3%
0 111
 
3.8%
9 104
 
3.6%
6 99
 
3.4%
Other values (5) 167
 
5.7%
Latin
ValueCountFrequency (%)
M 1
25.0%
T 1
25.0%
B 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4241
59.3%
ASCII 2916
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1299
44.5%
1 277
 
9.5%
- 256
 
8.8%
2 180
 
6.2%
3 150
 
5.1%
5 144
 
4.9%
4 125
 
4.3%
0 111
 
3.8%
9 104
 
3.6%
6 99
 
3.4%
Other values (9) 171
 
5.9%
Hangul
ValueCountFrequency (%)
남 404
 
9.5%
청 352
 
8.3%
도 343
 
8.1%
충 337
 
7.9%
동 232
 
5.5%
시 229
 
5.4%
리 179
 
4.2%
산 168
 
4.0%
읍 129
 
3.0%
군 111
 
2.6%
Other values (161) 1757
41.4%

도로명전체주소
Text

MISSING 

Distinct163
Distinct (%)79.9%
Missing134
Missing (%)39.6%
Memory size2.8 KiB
2023-12-12T23:32:02.676865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length25.745098
Min length18

Characters and Unicode

Total characters5252
Distinct characters204
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

Unique137 ?
Unique (%)67.2%

Sample

1st row충청남도 천안시 서북구 미라11길 38 (쌍용동)
2nd row충청남도 천안시 서북구 두정중8길 1-8 (두정동,성주빌딩2층)
3rd row충청남도 천안시 서북구 선영1길 24 (성정동)
4th row충청남도 천안시 서북구 성거읍 모전4길 51
5th row충청남도 천안시 동남구 충절로 42 (신부동,대아아파트상가 101/503)
ValueCountFrequency (%)
충청남도 204
 
18.1%
천안시 56
 
5.0%
서북구 30
 
2.7%
동남구 26
 
2.3%
당진시 20
 
1.8%
서산시 17
 
1.5%
홍성군 17
 
1.5%
아산시 17
 
1.5%
보령시 16
 
1.4%
공주시 16
 
1.4%
Other values (398) 709
62.9%
2023-12-12T23:32:03.061557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
987
 
18.8%
남 247
 
4.7%
청 224
 
4.3%
충 222
 
4.2%
도 207
 
3.9%
1 195
 
3.7%
동 164
 
3.1%
시 158
 
3.0%
로 138
 
2.6%
) 124
 
2.4%
Other values (194) 2586
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3116
59.3%
Space Separator 987
 
18.8%
Decimal Number 802
 
15.3%
Close Punctuation 124
 
2.4%
Open Punctuation 124
 
2.4%
Dash Punctuation 58
 
1.1%
Other Punctuation 37
 
0.7%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 247
 
7.9%
청 224
 
7.2%
충 222
 
7.1%
도 207
 
6.6%
동 164
 
5.3%
시 158
 
5.1%
로 138
 
4.4%
길 92
 
3.0%
천 85
 
2.7%
산 83
 
2.7%
Other values (174) 1496
48.0%
Decimal Number
ValueCountFrequency (%)
1 195
24.3%
2 117
14.6%
0 81
10.1%
4 74
 
9.2%
3 74
 
9.2%
6 67
 
8.4%
5 55
 
6.9%
7 49
 
6.1%
8 48
 
6.0%
9 42
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
B 1
25.0%
I 1
25.0%
M 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 36
97.3%
/ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
987
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3116
59.3%
Common 2132
40.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 247
 
7.9%
청 224
 
7.2%
충 222
 
7.1%
도 207
 
6.6%
동 164
 
5.3%
시 158
 
5.1%
로 138
 
4.4%
길 92
 
3.0%
천 85
 
2.7%
산 83
 
2.7%
Other values (174) 1496
48.0%
Common
ValueCountFrequency (%)
987
46.3%
1 195
 
9.1%
) 124
 
5.8%
( 124
 
5.8%
2 117
 
5.5%
0 81
 
3.8%
4 74
 
3.5%
3 74
 
3.5%
6 67
 
3.1%
- 58
 
2.7%
Other values (6) 231
 
10.8%
Latin
ValueCountFrequency (%)
T 1
25.0%
B 1
25.0%
I 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3116
59.3%
ASCII 2136
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
987
46.2%
1 195
 
9.1%
) 124
 
5.8%
( 124
 
5.8%
2 117
 
5.5%
0 81
 
3.8%
4 74
 
3.5%
3 74
 
3.5%
6 67
 
3.1%
- 58
 
2.7%
Other values (10) 235
 
11.0%
Hangul
ValueCountFrequency (%)
남 247
 
7.9%
청 224
 
7.2%
충 222
 
7.1%
도 207
 
6.6%
동 164
 
5.3%
시 158
 
5.1%
로 138
 
4.4%
길 92
 
3.0%
천 85
 
2.7%
산 83
 
2.7%
Other values (174) 1496
48.0%

도로명우편번호
Text

MISSING 

Distinct67
Distinct (%)71.3%
Missing244
Missing (%)72.2%
Memory size2.8 KiB
2023-12-12T23:32:03.272516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.3617021
Min length5

Characters and Unicode

Total characters598
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

Unique52 ?
Unique (%)55.3%

Sample

1st row331-933
2nd row331-831
3rd row331-999
4th row331-936
5th row330-987
ValueCountFrequency (%)
31811 7
 
7.4%
323-806 5
 
5.3%
350-804 5
 
5.3%
330-987 3
 
3.2%
31702 2
 
2.1%
336-912 2
 
2.1%
331-974 2
 
2.1%
320-803 2
 
2.1%
320-930 2
 
2.1%
32015 2
 
2.1%
Other values (57) 62
66.0%
2023-12-12T23:32:03.673222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 162
27.1%
1 79
13.2%
0 69
11.5%
- 64
 
10.7%
8 45
 
7.5%
9 44
 
7.4%
2 35
 
5.9%
5 29
 
4.8%
4 26
 
4.3%
7 25
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 534
89.3%
Dash Punctuation 64
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 162
30.3%
1 79
14.8%
0 69
12.9%
8 45
 
8.4%
9 44
 
8.2%
2 35
 
6.6%
5 29
 
5.4%
4 26
 
4.9%
7 25
 
4.7%
6 20
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 162
27.1%
1 79
13.2%
0 69
11.5%
- 64
 
10.7%
8 45
 
7.5%
9 44
 
7.4%
2 35
 
5.9%
5 29
 
4.8%
4 26
 
4.3%
7 25
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 162
27.1%
1 79
13.2%
0 69
11.5%
- 64
 
10.7%
8 45
 
7.5%
9 44
 
7.4%
2 35
 
5.9%
5 29
 
4.8%
4 26
 
4.3%
7 25
 
4.2%

사업장명
Text

Distinct273
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T23:32:03.955669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.3402367
Min length1

Characters and Unicode

Total characters2481
Distinct characters191
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)68.0%

Sample

1st row(주)세진
2nd row용천환경(주)
3rd row주식회사 일신환경
4th row(주)중산환경
5th row세림제지(주)
ValueCountFrequency (%)
주)스마트환경 7
 
2.0%
주식회사 6
 
1.7%
계룡환경(주 5
 
1.4%
5
 
1.4%
주)두현이엔씨 5
 
1.4%
주)가람테크 4
 
1.1%
주)동방하이테크 4
 
1.1%
주)서룡 4
 
1.1%
주)만수건설 3
 
0.9%
주)대룡건설 3
 
0.9%
Other values (267) 302
86.8%
2023-12-12T23:32:04.338653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 256
 
10.3%
( 249
 
10.0%
) 249
 
10.0%
경 133
 
5.4%
환 130
 
5.2%
건 101
 
4.1%
설 94
 
3.8%
엔 45
 
1.8%
산 44
 
1.8%
지 39
 
1.6%
Other values (181) 1141
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1949
78.6%
Open Punctuation 249
 
10.0%
Close Punctuation 249
 
10.0%
Uppercase Letter 11
 
0.4%
Space Separator 10
 
0.4%
Other Punctuation 7
 
0.3%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 256
 
13.1%
경 133
 
6.8%
환 130
 
6.7%
건 101
 
5.2%
설 94
 
4.8%
엔 45
 
2.3%
산 44
 
2.3%
지 39
 
2.0%
업 36
 
1.8%
합 35
 
1.8%
Other values (171) 1036
53.2%
Uppercase Letter
ValueCountFrequency (%)
E 4
36.4%
N 4
36.4%
G 2
18.2%
T 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1949
78.6%
Common 521
 
21.0%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 256
 
13.1%
경 133
 
6.8%
환 130
 
6.7%
건 101
 
5.2%
설 94
 
4.8%
엔 45
 
2.3%
산 44
 
2.3%
지 39
 
2.0%
업 36
 
1.8%
합 35
 
1.8%
Other values (171) 1036
53.2%
Common
ValueCountFrequency (%)
( 249
47.8%
) 249
47.8%
10
 
1.9%
. 6
 
1.2%
- 6
 
1.2%
& 1
 
0.2%
Latin
ValueCountFrequency (%)
E 4
36.4%
N 4
36.4%
G 2
18.2%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1949
78.6%
ASCII 532
 
21.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 256
 
13.1%
경 133
 
6.8%
환 130
 
6.7%
건 101
 
5.2%
설 94
 
4.8%
엔 45
 
2.3%
산 44
 
2.3%
지 39
 
2.0%
업 36
 
1.8%
합 35
 
1.8%
Other values (171) 1036
53.2%
ASCII
ValueCountFrequency (%)
( 249
46.8%
) 249
46.8%
10
 
1.9%
. 6
 
1.1%
- 6
 
1.1%
E 4
 
0.8%
N 4
 
0.8%
G 2
 
0.4%
T 1
 
0.2%
& 1
 
0.2%

최종수정시점
Date

Distinct332
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2000-09-14 17:46:00
Maximum2023-03-29 13:51:00
2023-12-12T23:32:04.505357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:32:04.676855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
274 
U
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 274
81.1%
U 64
 
18.9%

Length

2023-12-12T23:32:04.853935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:32:04.973474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 274
81.1%
u 64
 
18.9%

데이터갱신일자
Date

Distinct38
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:00
Maximum2023-04-01 02:40:00
2023-12-12T23:32:05.092826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:32:05.243075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Categorical

IMBALANCE 

Distinct25
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
246 
환경상담 및 관련 엔지니어링 서비스업
38 
하수처리, 폐기물처리 및 청소관련 서비스업
 
13
분뇨 및 축산폐기물 처리업
 
5
분뇨 처리업
 
4
Other values (20)
32 

Length

Max length23
Median length4
Mean length7.3431953
Min length2

Unique

Unique15 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 246
72.8%
환경상담 및 관련 엔지니어링 서비스업 38
 
11.2%
하수처리, 폐기물처리 및 청소관련 서비스업 13
 
3.8%
분뇨 및 축산폐기물 처리업 5
 
1.5%
분뇨 처리업 4
 
1.2%
토목 건설업 4
 
1.2%
종합 건설업 4
 
1.2%
폐기물 처리 및 오염방지시설 건설업 3
 
0.9%
하수 처리업 3
 
0.9%
하수, 분뇨 및 축산폐기물 처리업 3
 
0.9%
Other values (15) 15
 
4.4%

Length

2023-12-12T23:32:05.393742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 246
39.2%
및 67
 
10.7%
서비스업 56
 
8.9%
관련 39
 
6.2%
엔지니어링 39
 
6.2%
환경상담 38
 
6.1%
처리업 15
 
2.4%
폐기물처리 14
 
2.2%
건설업 13
 
2.1%
청소관련 13
 
2.1%
Other values (32) 88
 
14.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)77.5%
Missing98
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean192929.48
Minimum136904.45
Maximum246807.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T23:32:05.523612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136904.45
5-th percentile150801.43
Q1170543.48
median199942.73
Q3211873.28
95-th percentile219699.23
Maximum246807.04
Range109902.59
Interquartile range (IQR)41329.803

Descriptive statistics

Standard deviation24137.772
Coefficient of variation (CV)0.12511189
Kurtosis-0.70907906
Mean192929.48
Median Absolute Deviation (MAD)14259.228
Skewness-0.32802271
Sum46303075
Variance5.8263202 × 108
MonotonicityNot monotonic
2023-12-12T23:32:05.717797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179116.1181 7
 
2.1%
169297.5518 6
 
1.8%
171966.0209 5
 
1.5%
211873.2822 5
 
1.5%
164113.2502 3
 
0.9%
186544.3932 3
 
0.9%
243002.2518 3
 
0.9%
177067.1392 3
 
0.9%
220452.2878 2
 
0.6%
191765.5907 2
 
0.6%
Other values (176) 201
59.5%
(Missing) 98
29.0%
ValueCountFrequency (%)
136904.4534 1
0.3%
137317.6132 1
0.3%
137327.3388 2
0.6%
148875.77 2
0.6%
149635.3844 1
0.3%
150295.8646 1
0.3%
150306.2144 2
0.6%
150310.677 1
0.3%
150388.7426 1
0.3%
150823.1473 2
0.6%
ValueCountFrequency (%)
246807.0398 2
0.6%
244075.0882 1
 
0.3%
243002.2518 3
0.9%
242332.7919 1
 
0.3%
224198.3309 1
 
0.3%
222406.3501 1
 
0.3%
221114.4632 1
 
0.3%
220452.2878 2
0.6%
219659.5964 2
0.6%
219425.1104 2
0.6%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)77.5%
Missing98
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean343017.17
Minimum279344.45
Maximum389085.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T23:32:05.905277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum279344.45
5-th percentile298346.94
Q1315450.88
median353571.38
Q3367227.29
95-th percentile378105.6
Maximum389085.88
Range109741.43
Interquartile range (IQR)51776.411

Descriptive statistics

Standard deviation28687.927
Coefficient of variation (CV)0.083634085
Kurtosis-1.2568417
Mean343017.17
Median Absolute Deviation (MAD)17381.18
Skewness-0.43037372
Sum82324120
Variance8.2299714 × 108
MonotonicityNot monotonic
2023-12-12T23:32:06.077130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367763.8169 7
 
2.1%
337609.667 6
 
1.8%
345140.8065 5
 
1.5%
312176.8797 5
 
1.5%
315290.8214 3
 
0.9%
311337.8794 3
 
0.9%
295569.6687 3
 
0.9%
381730.5662 3
 
0.9%
303494.3514 2
 
0.6%
308366.481 2
 
0.6%
Other values (176) 201
59.5%
(Missing) 98
29.0%
ValueCountFrequency (%)
279344.4481 1
 
0.3%
286357.0238 2
0.6%
286388.8817 1
 
0.3%
288874.6894 1
 
0.3%
289326.4534 1
 
0.3%
294581.3152 1
 
0.3%
295569.6687 3
0.9%
296693.859 1
 
0.3%
297954.7841 1
 
0.3%
298367.5798 1
 
0.3%
ValueCountFrequency (%)
389085.877 2
0.6%
382922.5978 1
 
0.3%
382122.1661 1
 
0.3%
381730.5662 3
0.9%
379838.1513 1
 
0.3%
379411.7317 1
 
0.3%
378730.9107 1
 
0.3%
378548.1535 1
 
0.3%
378105.5982 2
0.6%
378096.6879 1
 
0.3%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
분뇨등설계시공업관리
337 
사업장폐기물배출자(2-2호)
 
1

Length

Max length15
Median length10
Mean length10.014793
Min length10

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 337
99.7%
사업장폐기물배출자(2-2호) 1
 
0.3%

Length

2023-12-12T23:32:06.253280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:32:06.369302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 337
99.7%
사업장폐기물배출자(2-2호 1
 
0.3%

업종구분명
Categorical

IMBALANCE 

Distinct25
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
246 
환경상담 및 관련 엔지니어링 서비스업
38 
하수처리, 폐기물처리 및 청소관련 서비스업
 
13
분뇨 및 축산폐기물 처리업
 
5
분뇨 처리업
 
4
Other values (20)
32 

Length

Max length23
Median length4
Mean length7.3431953
Min length2

Unique

Unique15 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 246
72.8%
환경상담 및 관련 엔지니어링 서비스업 38
 
11.2%
하수처리, 폐기물처리 및 청소관련 서비스업 13
 
3.8%
분뇨 및 축산폐기물 처리업 5
 
1.5%
분뇨 처리업 4
 
1.2%
토목 건설업 4
 
1.2%
종합 건설업 4
 
1.2%
폐기물 처리 및 오염방지시설 건설업 3
 
0.9%
하수 처리업 3
 
0.9%
하수, 분뇨 및 축산폐기물 처리업 3
 
0.9%
Other values (15) 15
 
4.4%

Length

2023-12-12T23:32:06.494262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 246
39.2%
및 67
 
10.7%
서비스업 56
 
8.9%
관련 39
 
6.2%
엔지니어링 39
 
6.2%
환경상담 38
 
6.1%
처리업 15
 
2.4%
폐기물처리 14
 
2.2%
건설업 13
 
2.1%
청소관련 13
 
2.1%
Other values (32) 88
 
14.0%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing338
Missing (%)100.0%
Memory size3.1 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing338
Missing (%)100.0%
Memory size3.1 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing338
Missing (%)100.0%
Memory size3.1 KiB

배출시설연간가동일수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
263 
0
75 

Length

Max length4
Median length4
Mean length3.3343195
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 263
77.8%
0 75
 
22.2%

Length

2023-12-12T23:32:06.649469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:32:06.751701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 263
77.8%
0 75
 
22.2%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing338
Missing (%)100.0%
Memory size3.1 KiB

방지시설연간가동일수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
263 
0
75 

Length

Max length4
Median length4
Mean length3.3343195
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 263
77.8%
0 75
 
22.2%

Length

2023-12-12T23:32:06.851460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:32:06.965068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 263
77.8%
0 75
 
22.2%

Sample

번호개방서비스명인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
01단독정화조/오수처리시설설계시공업2002-04-06<NA>2휴업1휴업<NA>2007-12-202008-03-01<NA>330-782충청남도 천안시 서북구 쌍용동 1007충청남도 천안시 서북구 미라11길 38 (쌍용동)<NA>(주)세진2007-12-20 17:22I2018-08-31 23:59<NA>211694.59366976.4646분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
12단독정화조/오수처리시설설계시공업1998-10-16<NA>2휴업1휴업<NA>2007-12-202008-03-01<NA>330-210충청남도 천안시 서북구 두정동 1192 성주빌딩2층충청남도 천안시 서북구 두정중8길 1-8 (두정동,성주빌딩2층)<NA>용천환경(주)2007-12-20 10:09I2018-08-31 23:59<NA>212289.7412370551.8382분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
23단독정화조/오수처리시설설계시공업2005-06-01<NA>2휴업1휴업<NA>2005-10-252006-02-28<NA>330-072충청남도 천안시 동남구 원성동 581-5<NA><NA>주식회사 일신환경2005-06-01 8:43I2018-08-31 23:59<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
34단독정화조/오수처리시설설계시공업2001-10-21<NA>1영업/정상11영업<NA><NA><NA><NA>330-170충청남도 천안시 서북구 성정동 320-7충청남도 천안시 서북구 선영1길 24 (성정동)331-933(주)중산환경2021-12-27 9:06U2021-12-29 2:40<NA>212769.9403368453.9148분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
45단독정화조/오수처리시설설계시공업2005-09-02<NA>1영업/정상11영업<NA><NA><NA><NA>330-831충청남도 천안시 서북구 성거읍 모전리 37-1충청남도 천안시 서북구 성거읍 모전4길 51331-831세림제지(주)2014-02-04 10:34I2018-08-31 23:59<NA>217590.7313378548.1535분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
56단독정화조/오수처리시설설계시공업2000-10-10<NA>1영업/정상11영업<NA><NA><NA><NA>330-160충청남도 천안시 동남구 신부동 85 대아아파트상가 101/503충청남도 천안시 동남구 충절로 42 (신부동,대아아파트상가 101/503)<NA>대아건설(주)2003-03-20 12:59I2018-08-31 23:59환경상담 및 관련 엔지니어링 서비스업213981.5615368225.4753분뇨등설계시공업관리환경상담 및 관련 엔지니어링 서비스업<NA><NA><NA>0<NA>0
67단독정화조/오수처리시설설계시공업2002-03-27<NA>1영업/정상11영업<NA><NA><NA><NA>330-813충청남도 천안시 서북구 직산읍 마정리 486충청남도 천안시 서북구 직산읍 금곡로 52-21<NA>세림제지(주)2003-03-28 9:16I2018-08-31 23:59환경상담 및 관련 엔지니어링 서비스업209189.2712373936.1557분뇨등설계시공업관리환경상담 및 관련 엔지니어링 서비스업<NA><NA><NA>0<NA>0
78단독정화조/오수처리시설설계시공업2002-06-28<NA>1영업/정상11영업<NA><NA><NA><NA>330-100충청남도 천안시 동남구 봉명동 280충청남도 천안시 동남구 개목8길 5 (봉명동)<NA>우리환경기술(주)2003-03-20 14:18I2018-08-31 23:59환경상담 및 관련 엔지니어링 서비스업211625.7953368326.6675분뇨등설계시공업관리환경상담 및 관련 엔지니어링 서비스업<NA><NA><NA>0<NA>0
89단독정화조/오수처리시설설계시공업2002-08-05<NA>1영업/정상11영업<NA><NA><NA><NA>330-170충청남도 천안시 서북구 성정동 236-4충청남도 천안시 서북구 양지7길 19 (성정동)331-999나노퓨어2014-02-04 10:39I2018-08-31 23:59<NA>212287.8394367898.596분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
910단독정화조/오수처리시설설계시공업2002-09-24<NA>1영업/정상11영업<NA><NA><NA><NA>330-170충청남도 천안시 서북구 성정동 622-10충청남도 천안시 서북구 서부19길 20 (성정동)331-936동오종합건설(주)2014-02-04 10:40I2018-08-31 23:59<NA>212348.0529369270.5058분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
번호개방서비스명인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
328329단독정화조/오수처리시설설계시공업2015-01-13<NA>3폐업2폐업2017-07-28<NA><NA><NA>343-805충청남도 당진시 읍내동 244-16충청남도 당진시 당진중앙2로 173 (읍내동)<NA>(주)서룡2017-07-28 16:58I2018-08-31 23:59<NA>167262.7465377230.8829분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
329330단독정화조/오수처리시설설계시공업2016-06-16<NA>3폐업2폐업2018-02-20<NA><NA><NA><NA>충청남도 당진시 합덕읍 운산리 900-1충청남도 당진시 합덕읍 예덕로 418, 101호 (영동빌딩)31811(주)스마트환경2018-02-20 17:55I2018-08-31 23:59<NA>179116.1181367763.8169분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
330331단독정화조/오수처리시설설계시공업2016-08-18<NA>3폐업2폐업2018-02-20<NA><NA><NA><NA>충청남도 당진시 합덕읍 운산리 900-1충청남도 당진시 합덕읍 예덕로 418, 101호 (영동빌딩)31811(주)스마트환경2019-12-27 9:19U2019-12-29 2:40<NA>179116.1181367763.8169분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
331332단독정화조/오수처리시설설계시공업2016-12-09<NA>3폐업2폐업2020-07-07<NA><NA><NA>343-826충청남도 당진시 송악읍 중흥리 365충청남도 당진시 송악읍 송악로 620-31<NA>워텍환경2020-07-07 12:53U2020-07-09 2:40<NA>177067.1392381730.5662분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
332333단독정화조/오수처리시설설계시공업2017-03-27<NA>3폐업2폐업2018-02-20<NA><NA><NA><NA>충청남도 당진시 합덕읍 운산리 900-1충청남도 당진시 합덕읍 예덕로 418, 101호 (영동빌딩)31811(주)스마트환경2019-12-27 9:18U2019-12-29 2:40<NA>179116.1181367763.8169분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
333334단독정화조/오수처리시설설계시공업2017-03-27<NA>3폐업2폐업2018-02-20<NA><NA><NA><NA>충청남도 당진시 합덕읍 운산리 900-1충청남도 당진시 합덕읍 예덕로 418, 101호 (영동빌딩)31811(주)스마트환경2019-12-27 9:17U2019-12-29 2:40<NA>179116.1181367763.8169분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
334335단독정화조/오수처리시설설계시공업2017-05-23<NA>3폐업2폐업2018-02-20<NA><NA><NA><NA>충청남도 당진시 합덕읍 운산리 900-1충청남도 당진시 합덕읍 예덕로 418, 101호 (영동빌딩)31811(주)스마트환경2019-12-27 9:16U2019-12-29 2:40<NA>179116.1181367763.8169분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
335336단독정화조/오수처리시설설계시공업2017-07-20<NA>3폐업2폐업2018-02-20<NA><NA><NA><NA>충청남도 당진시 합덕읍 운산리 900-1충청남도 당진시 합덕읍 예덕로 418, 101호 (영동빌딩)31811(주)스마트환경2019-12-27 9:16U2019-12-29 2:40<NA>179116.1181367763.8169분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
336337단독정화조/오수처리시설설계시공업2010-05-18<NA>1영업/정상3재개업<NA><NA><NA>2011-12-22343-805충청남도 당진시 읍내동 1109 수영빌딩 2층충청남도 당진시 무수동2길 42 (읍내동,수영빌딩 2층)<NA>자연이엔지(주)2020-06-12 9:55U2020-06-14 2:40<NA>167793.6513376494.0973분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
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