Overview

Dataset statistics

Number of variables31
Number of observations21
Missing cells220
Missing cells (%)33.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory270.3 B

Variable types

Categorical9
Numeric4
DateTime3
Unsupported9
Text6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),환경업무구분명,폐기물처리업구분명,폐기물처리업별처리구분명,폐기물구분명,허용보관량,허용보관량내용
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19325/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 11 (52.4%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 3 (14.3%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 4 (19.0%) missing valuesMissing
지번주소 has 1 (4.8%) missing valuesMissing
도로명주소 has 5 (23.8%) missing valuesMissing
도로명우편번호 has 5 (23.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.8%) missing valuesMissing
좌표정보(Y) has 1 (4.8%) missing valuesMissing
폐기물처리업별처리구분명 has 21 (100.0%) missing valuesMissing
폐기물구분명 has 21 (100.0%) missing valuesMissing
허용보관량내용 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기물처리업별처리구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기물구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허용보관량내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:53:56.273709
Analysis finished2024-05-11 06:53:56.855251
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3230000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 21
100.0%

Length

2024-05-11T15:53:56.931018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:57.060186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2300009 × 1017
Minimum3.2300009 × 1017
Maximum3.2300009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:53:57.234546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2300009 × 1017
5-th percentile3.2300009 × 1017
Q13.2300009 × 1017
median3.2300009 × 1017
Q33.2300009 × 1017
95-th percentile3.2300009 × 1017
Maximum3.2300009 × 1017
Range2899994
Interquartile range (IQR)600000

Descriptive statistics

Standard deviation649536.69
Coefficient of variation (CV)2.0109489 × 10-12
Kurtosis2.3129778
Mean3.2300009 × 1017
Median Absolute Deviation (MAD)299968
Skewness1.2438239
Sum6.7830019 × 1018
Variance4.2189791 × 1011
MonotonicityStrictly increasing
2024-05-11T15:53:57.427007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
323000092199300007 1
 
4.8%
323000092199600003 1
 
4.8%
323000092202200001 1
 
4.8%
323000092201600001 1
 
4.8%
323000092200900002 1
 
4.8%
323000092200900001 1
 
4.8%
323000092200700002 1
 
4.8%
323000092200700001 1
 
4.8%
323000092200600001 1
 
4.8%
323000092200400001 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
323000092199300007 1
4.8%
323000092199600003 1
4.8%
323000092199900001 1
4.8%
323000092199900015 1
4.8%
323000092200000025 1
4.8%
323000092200100001 1
4.8%
323000092200100005 1
4.8%
323000092200100012 1
4.8%
323000092200100020 1
4.8%
323000092200100021 1
4.8%
ValueCountFrequency (%)
323000092202200001 1
4.8%
323000092201600001 1
4.8%
323000092200900002 1
4.8%
323000092200900001 1
4.8%
323000092200700002 1
4.8%
323000092200700001 1
4.8%
323000092200600001 1
4.8%
323000092200400001 1
4.8%
323000092200300001 1
4.8%
323000092200200038 1
4.8%

인허가일자
Date

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1999-03-26 00:00:00
Maximum2022-12-08 00:00:00
2024-05-11T15:53:57.594650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:53:57.780400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
11 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

Length

2024-05-11T15:53:57.960500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:58.099681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
11 
폐업
10 

Length

Max length5
Median length5
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

Length

2024-05-11T15:53:58.286498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:58.451966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
BBBB
11 
2
10 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 11
52.4%
2 10
47.6%

Length

2024-05-11T15:53:58.637631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:58.844734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 11
52.4%
2 10
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업
11 
폐업
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 11
52.4%
폐업 10
47.6%

Length

2024-05-11T15:53:59.093963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:53:59.242455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 11
52.4%
폐업 10
47.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean20133886
Minimum20070914
Maximum20221207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:53:59.393572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070914
5-th percentile20075274
Q120110833
median20130678
Q320141226
95-th percentile20211847
Maximum20221207
Range150293
Interquartile range (IQR)30393

Descriptive statistics

Standard deviation47442.514
Coefficient of variation (CV)0.0023563516
Kurtosis0.059623691
Mean20133886
Median Absolute Deviation (MAD)19720.5
Skewness0.69414637
Sum2.0133886 × 108
Variance2.2507921 × 109
MonotonicityNot monotonic
2024-05-11T15:53:59.589311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20141226 3
 
14.3%
20120131 1
 
4.8%
20110708 1
 
4.8%
20200408 1
 
4.8%
20080602 1
 
4.8%
20070914 1
 
4.8%
20111208 1
 
4.8%
20221207 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
20070914 1
 
4.8%
20080602 1
 
4.8%
20110708 1
 
4.8%
20111208 1
 
4.8%
20120131 1
 
4.8%
20141226 3
14.3%
20200408 1
 
4.8%
20221207 1
 
4.8%
ValueCountFrequency (%)
20221207 1
 
4.8%
20200408 1
 
4.8%
20141226 3
14.3%
20120131 1
 
4.8%
20111208 1
 
4.8%
20110708 1
 
4.8%
20080602 1
 
4.8%
20070914 1
 
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing3
Missing (%)14.3%
Memory size300.0 B
2024-05-11T15:53:59.896350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4444444
Min length7

Characters and Unicode

Total characters170
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

Unique18 ?
Unique (%)100.0%

Sample

1st row02-418-1477
2nd row4470676
3rd row02-443-3280
4th row02-6270-0742
5th row024085080
ValueCountFrequency (%)
4431474 1
 
5.6%
02-443-3280 1
 
5.6%
4094412 1
 
5.6%
4072331 1
 
5.6%
07088239343 1
 
5.6%
02-425-1681 1
 
5.6%
02-558-4410 1
 
5.6%
4482556 1
 
5.6%
22031477 1
 
5.6%
02-418-1477 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T15:54:00.440729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
17.6%
4 28
16.5%
2 26
15.3%
7 17
10.0%
3 14
8.2%
- 14
8.2%
8 11
 
6.5%
1 10
 
5.9%
6 8
 
4.7%
5 7
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
91.8%
Dash Punctuation 14
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
19.2%
4 28
17.9%
2 26
16.7%
7 17
10.9%
3 14
9.0%
8 11
 
7.1%
1 10
 
6.4%
6 8
 
5.1%
5 7
 
4.5%
9 5
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
17.6%
4 28
16.5%
2 26
15.3%
7 17
10.0%
3 14
8.2%
- 14
8.2%
8 11
 
6.5%
1 10
 
5.9%
6 8
 
4.7%
5 7
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
17.6%
4 28
16.5%
2 26
15.3%
7 17
10.0%
3 14
8.2%
- 14
8.2%
8 11
 
6.5%
1 10
 
5.9%
6 8
 
4.7%
5 7
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing4
Missing (%)19.0%
Memory size300.0 B
2024-05-11T15:54:00.764346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2941176
Min length6

Characters and Unicode

Total characters107
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

Unique13 ?
Unique (%)76.5%

Sample

1st row138862
2nd row138832
3rd row138871
4th row138-040
5th row138200
ValueCountFrequency (%)
138871 2
 
11.8%
138200 2
 
11.8%
138862 1
 
5.9%
138832 1
 
5.9%
138-040 1
 
5.9%
138-858 1
 
5.9%
138-849 1
 
5.9%
138800 1
 
5.9%
138160 1
 
5.9%
138759 1
 
5.9%
Other values (5) 5
29.4%
2024-05-11T15:54:01.300587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 26
24.3%
1 23
21.5%
3 18
16.8%
0 13
12.1%
2 7
 
6.5%
- 5
 
4.7%
9 4
 
3.7%
7 3
 
2.8%
6 3
 
2.8%
4 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
95.3%
Dash Punctuation 5
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 26
25.5%
1 23
22.5%
3 18
17.6%
0 13
12.7%
2 7
 
6.9%
9 4
 
3.9%
7 3
 
2.9%
6 3
 
2.9%
4 3
 
2.9%
5 2
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 26
24.3%
1 23
21.5%
3 18
16.8%
0 13
12.1%
2 7
 
6.5%
- 5
 
4.7%
9 4
 
3.7%
7 3
 
2.8%
6 3
 
2.8%
4 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 26
24.3%
1 23
21.5%
3 18
16.8%
0 13
12.1%
2 7
 
6.5%
- 5
 
4.7%
9 4
 
3.7%
7 3
 
2.8%
6 3
 
2.8%
4 3
 
2.8%

지번주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-05-11T15:54:01.635239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23.5
Mean length23.85
Min length18

Characters and Unicode

Total characters477
Distinct characters62
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 잠실동 196번지 8층 907호
2nd row서울특별시 송파구 방이동 154번지 해동빌딩 301호
3rd row서울특별시 송파구 장지동 623-1번지
4th row서울특별시 송파구 방이동 61-11
5th row서울특별시 송파구 풍납동 391-5 풍납동 N빌딩
ValueCountFrequency (%)
서울특별시 20
20.2%
송파구 20
20.2%
가락동 5
 
5.1%
문정동 4
 
4.0%
잠실동 3
 
3.0%
196번지 2
 
2.0%
장지동 2
 
2.0%
3층 2
 
2.0%
2층 2
 
2.0%
풍납동 2
 
2.0%
Other values (35) 37
37.4%
2024-05-11T15:54:02.148380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
18.4%
파 22
 
4.6%
동 22
 
4.6%
1 22
 
4.6%
송 21
 
4.4%
서 20
 
4.2%
특 20
 
4.2%
별 20
 
4.2%
시 20
 
4.2%
구 20
 
4.2%
Other values (52) 202
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
60.8%
Space Separator 88
 
18.4%
Decimal Number 86
 
18.0%
Dash Punctuation 12
 
2.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 22
 
7.6%
동 22
 
7.6%
송 21
 
7.2%
서 20
 
6.9%
특 20
 
6.9%
별 20
 
6.9%
시 20
 
6.9%
구 20
 
6.9%
울 20
 
6.9%
지 13
 
4.5%
Other values (39) 92
31.7%
Decimal Number
ValueCountFrequency (%)
1 22
25.6%
2 9
10.5%
9 9
10.5%
8 8
 
9.3%
7 8
 
9.3%
0 7
 
8.1%
3 7
 
8.1%
4 6
 
7.0%
6 5
 
5.8%
5 5
 
5.8%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
60.8%
Common 186
39.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 22
 
7.6%
동 22
 
7.6%
송 21
 
7.2%
서 20
 
6.9%
특 20
 
6.9%
별 20
 
6.9%
시 20
 
6.9%
구 20
 
6.9%
울 20
 
6.9%
지 13
 
4.5%
Other values (39) 92
31.7%
Common
ValueCountFrequency (%)
88
47.3%
1 22
 
11.8%
- 12
 
6.5%
2 9
 
4.8%
9 9
 
4.8%
8 8
 
4.3%
7 8
 
4.3%
0 7
 
3.8%
3 7
 
3.8%
4 6
 
3.2%
Other values (2) 10
 
5.4%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
60.8%
ASCII 187
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
47.1%
1 22
 
11.8%
- 12
 
6.4%
2 9
 
4.8%
9 9
 
4.8%
8 8
 
4.3%
7 8
 
4.3%
0 7
 
3.7%
3 7
 
3.7%
4 6
 
3.2%
Other values (3) 11
 
5.9%
Hangul
ValueCountFrequency (%)
파 22
 
7.6%
동 22
 
7.6%
송 21
 
7.2%
서 20
 
6.9%
특 20
 
6.9%
별 20
 
6.9%
시 20
 
6.9%
구 20
 
6.9%
울 20
 
6.9%
지 13
 
4.5%
Other values (39) 92
31.7%

도로명주소
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing5
Missing (%)23.8%
Memory size300.0 B
2024-05-11T15:54:02.536910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35.5
Mean length33.4375
Min length25

Characters and Unicode

Total characters535
Distinct characters85
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

Unique16 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 백제고분로 75, 8층 907호 (잠실동)
2nd row서울특별시 송파구 오금로13길 19, 401호 (방이동)
3rd row서울특별시 송파구 올림픽로 493, 풍납동 N빌딩 (풍납동)
4th row서울특별시 송파구 새말로12길 7, 2층 (문정동, (문정동))
5th row서울특별시 송파구 중대로38길 8, 2층 (오금동, 프라임빌딩)
ValueCountFrequency (%)
서울특별시 16
 
15.2%
송파구 16
 
15.2%
문정동 5
 
4.8%
가락동 3
 
2.9%
잠실동 3
 
2.9%
2층 3
 
2.9%
풍납동 2
 
1.9%
907호 2
 
1.9%
75 2
 
1.9%
백제고분로 2
 
1.9%
Other values (49) 51
48.6%
2024-05-11T15:54:03.350876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
16.6%
1 22
 
4.1%
, 20
 
3.7%
파 20
 
3.7%
송 19
 
3.6%
동 19
 
3.6%
) 17
 
3.2%
( 17
 
3.2%
서 16
 
3.0%
특 16
 
3.0%
Other values (75) 280
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
55.9%
Space Separator 89
 
16.6%
Decimal Number 88
 
16.4%
Other Punctuation 20
 
3.7%
Close Punctuation 17
 
3.2%
Open Punctuation 17
 
3.2%
Dash Punctuation 2
 
0.4%
Uppercase Letter 2
 
0.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 20
 
6.7%
송 19
 
6.4%
동 19
 
6.4%
서 16
 
5.4%
특 16
 
5.4%
별 16
 
5.4%
시 16
 
5.4%
구 16
 
5.4%
로 16
 
5.4%
울 16
 
5.4%
Other values (58) 129
43.1%
Decimal Number
ValueCountFrequency (%)
1 22
25.0%
2 15
17.0%
0 11
12.5%
4 8
 
9.1%
3 7
 
8.0%
5 7
 
8.0%
9 7
 
8.0%
7 6
 
6.8%
8 5
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
55.9%
Common 233
43.6%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 20
 
6.7%
송 19
 
6.4%
동 19
 
6.4%
서 16
 
5.4%
특 16
 
5.4%
별 16
 
5.4%
시 16
 
5.4%
구 16
 
5.4%
로 16
 
5.4%
울 16
 
5.4%
Other values (58) 129
43.1%
Common
ValueCountFrequency (%)
89
38.2%
1 22
 
9.4%
, 20
 
8.6%
) 17
 
7.3%
( 17
 
7.3%
2 15
 
6.4%
0 11
 
4.7%
4 8
 
3.4%
3 7
 
3.0%
5 7
 
3.0%
Other values (4) 20
 
8.6%
Latin
ValueCountFrequency (%)
N 1
33.3%
a 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
55.9%
ASCII 236
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
37.7%
1 22
 
9.3%
, 20
 
8.5%
) 17
 
7.2%
( 17
 
7.2%
2 15
 
6.4%
0 11
 
4.7%
4 8
 
3.4%
3 7
 
3.0%
5 7
 
3.0%
Other values (7) 23
 
9.7%
Hangul
ValueCountFrequency (%)
파 20
 
6.7%
송 19
 
6.4%
동 19
 
6.4%
서 16
 
5.4%
특 16
 
5.4%
별 16
 
5.4%
시 16
 
5.4%
구 16
 
5.4%
로 16
 
5.4%
울 16
 
5.4%
Other values (58) 129
43.1%

도로명우편번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing5
Missing (%)23.8%
Memory size300.0 B
2024-05-11T15:54:03.666621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6875
Min length5

Characters and Unicode

Total characters91
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

Unique16 ?
Unique (%)100.0%

Sample

1st row138862
2nd row05547
3rd row05539
4th row138200
5th row138-858
ValueCountFrequency (%)
05829 1
 
6.2%
05547 1
 
6.2%
05539 1
 
6.2%
138200 1
 
6.2%
138-858 1
 
6.2%
138-849 1
 
6.2%
138800 1
 
6.2%
05553 1
 
6.2%
138862 1
 
6.2%
138871 1
 
6.2%
Other values (6) 6
37.5%
2024-05-11T15:54:04.121396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 21
23.1%
0 13
14.3%
5 13
14.3%
3 12
13.2%
1 12
13.2%
9 5
 
5.5%
2 4
 
4.4%
4 4
 
4.4%
7 4
 
4.4%
- 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89
97.8%
Dash Punctuation 2
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 21
23.6%
0 13
14.6%
5 13
14.6%
3 12
13.5%
1 12
13.5%
9 5
 
5.6%
2 4
 
4.5%
4 4
 
4.5%
7 4
 
4.5%
6 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 21
23.1%
0 13
14.3%
5 13
14.3%
3 12
13.2%
1 12
13.2%
9 5
 
5.5%
2 4
 
4.4%
4 4
 
4.4%
7 4
 
4.4%
- 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 21
23.1%
0 13
14.3%
5 13
14.3%
3 12
13.2%
1 12
13.2%
9 5
 
5.5%
2 4
 
4.4%
4 4
 
4.4%
7 4
 
4.4%
- 2
 
2.2%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T15:54:04.425150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length6.7619048
Min length4

Characters and Unicode

Total characters142
Distinct characters64
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

Unique21 ?
Unique (%)100.0%

Sample

1st row(주)청석공영
2nd row(주)대사개발
3rd row(주)보나환경
4th row(주)지구환경
5th row(주)삼표산업 송파지점
ValueCountFrequency (%)
주)청석공영 1
 
4.5%
주)대사개발 1
 
4.5%
이호개발(주 1
 
4.5%
덕호중기 1
 
4.5%
토암환경(주 1
 
4.5%
주)대현환경개발(허가취소업체 1
 
4.5%
금녕산업개발(주 1
 
4.5%
주)삼보환경 1
 
4.5%
신우건기 1
 
4.5%
주)청석티이씨 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T15:54:04.934854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 13
 
9.2%
) 13
 
9.2%
주 12
 
8.5%
경 6
 
4.2%
환 6
 
4.2%
기 6
 
4.2%
발 4
 
2.8%
업 4
 
2.8%
건 4
 
2.8%
개 4
 
2.8%
Other values (54) 70
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
81.0%
Open Punctuation 13
 
9.2%
Close Punctuation 13
 
9.2%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
10.4%
경 6
 
5.2%
환 6
 
5.2%
기 6
 
5.2%
발 4
 
3.5%
업 4
 
3.5%
건 4
 
3.5%
개 4
 
3.5%
산 3
 
2.6%
삼 3
 
2.6%
Other values (51) 63
54.8%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
81.0%
Common 27
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
10.4%
경 6
 
5.2%
환 6
 
5.2%
기 6
 
5.2%
발 4
 
3.5%
업 4
 
3.5%
건 4
 
3.5%
개 4
 
3.5%
산 3
 
2.6%
삼 3
 
2.6%
Other values (51) 63
54.8%
Common
ValueCountFrequency (%)
( 13
48.1%
) 13
48.1%
1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
81.0%
ASCII 27
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 13
48.1%
) 13
48.1%
1
 
3.7%
Hangul
ValueCountFrequency (%)
주 12
 
10.4%
경 6
 
5.2%
환 6
 
5.2%
기 6
 
5.2%
발 4
 
3.5%
업 4
 
3.5%
건 4
 
3.5%
개 4
 
3.5%
산 3
 
2.6%
삼 3
 
2.6%
Other values (51) 63
54.8%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2007-09-14 18:40:24
Maximum2024-05-03 15:44:35
2024-05-11T15:54:05.121330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:05.309953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
U
11 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 11
52.4%
I 10
47.6%

Length

2024-05-11T15:54:05.505500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:05.655902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 11
52.4%
i 10
47.6%

데이터갱신일자
Date

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:54:05.810507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:06.074792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean210376.69
Minimum206932.36
Maximum213030.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:54:06.249609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206932.36
5-th percentile206932.36
Q1210049.3
median210851.32
Q3211200.26
95-th percentile211893.89
Maximum213030.21
Range6097.8507
Interquartile range (IQR)1150.9577

Descriptive statistics

Standard deviation1518.7627
Coefficient of variation (CV)0.0072192536
Kurtosis1.3601273
Mean210376.69
Median Absolute Deviation (MAD)466.1
Skewness-1.1266896
Sum4207533.7
Variance2306640
MonotonicityNot monotonic
2024-05-11T15:54:06.447255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
206932.357872339 2
 
9.5%
210183.993621693 1
 
4.8%
210868.397496689 1
 
4.8%
211834.079335928 1
 
4.8%
211197.373173967 1
 
4.8%
213030.20852974 1
 
4.8%
210904.335199179 1
 
4.8%
208233.926974585 1
 
4.8%
210931.327279915 1
 
4.8%
210834.25 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
206932.357872339 2
9.5%
208233.926974585 1
4.8%
209389.696217302 1
4.8%
209645.211717014 1
4.8%
210183.993621693 1
4.8%
210331.946396392 1
4.8%
210658.051559152 1
4.8%
210830.462208334 1
4.8%
210834.25 1
4.8%
210868.397496689 1
4.8%
ValueCountFrequency (%)
213030.20852974 1
4.8%
211834.079335928 1
4.8%
211368.004967004 1
4.8%
211266.842525914 1
4.8%
211208.903954461 1
4.8%
211197.373173967 1
4.8%
210951.983622552 1
4.8%
210931.327279915 1
4.8%
210904.335199179 1
4.8%
210868.397496689 1
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean443938.47
Minimum440535.22
Maximum447142.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:54:06.642000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440535.22
5-th percentile441205.71
Q1442705.82
median443989.45
Q3445324.22
95-th percentile445822.51
Maximum447142.58
Range6607.3579
Interquartile range (IQR)2618.4028

Descriptive statistics

Standard deviation1706.1692
Coefficient of variation (CV)0.003843256
Kurtosis-0.49368832
Mean443938.47
Median Absolute Deviation (MAD)1357.9405
Skewness-0.21973279
Sum8878769.3
Variance2911013.2
MonotonicityNot monotonic
2024-05-11T15:54:06.834825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
445301.060651942 2
 
9.5%
445753.027732715 1
 
4.8%
442053.227933005 1
 
4.8%
443488.453242124 1
 
4.8%
442476.463674602 1
 
4.8%
443404.076071301 1
 
4.8%
440535.218735924 1
 
4.8%
445435.257647797 1
 
4.8%
444358.279092223 1
 
4.8%
443374.84 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
440535.218735924 1
4.8%
441241.002754468 1
4.8%
442053.227933005 1
4.8%
442285.09070172 1
4.8%
442476.463674602 1
4.8%
442782.272870961 1
4.8%
443374.84 1
4.8%
443404.076071301 1
4.8%
443488.453242124 1
4.8%
443620.612078283 1
4.8%
ValueCountFrequency (%)
447142.576627481 1
4.8%
445753.027732715 1
4.8%
445739.898297995 1
4.8%
445435.257647797 1
4.8%
445393.711556926 1
4.8%
445301.060651942 2
9.5%
444578.554534791 1
4.8%
444504.618556392 1
4.8%
444358.279092223 1
4.8%
443620.612078283 1
4.8%

환경업무구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
건설폐기물처리업사업계획(허가)신청
11 
<NA>
10 

Length

Max length18
Median length18
Mean length11.333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설폐기물처리업사업계획(허가)신청
2nd row건설폐기물처리업사업계획(허가)신청
3rd row건설폐기물처리업사업계획(허가)신청
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 11
52.4%
<NA> 10
47.6%

Length

2024-05-11T15:54:07.067152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:07.258450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 11
52.4%
na 10
47.6%

폐기물처리업구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
수집운반업(건설폐기물)
11 
<NA>
10 

Length

Max length12
Median length12
Mean length8.1904762
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수집운반업(건설폐기물)
2nd row수집운반업(건설폐기물)
3rd row수집운반업(건설폐기물)
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
수집운반업(건설폐기물) 11
52.4%
<NA> 10
47.6%

Length

2024-05-11T15:54:07.483902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:07.657648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수집운반업(건설폐기물 11
52.4%
na 10
47.6%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

폐기물구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

허용보관량
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
10 
0
9 
1050
2 

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1050
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 10
47.6%
0 9
42.9%
1050 2
 
9.5%

Length

2024-05-11T15:54:07.838231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:08.031921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
47.6%
0 9
42.9%
1050 2
 
9.5%

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
0323000032300009219930000720141226<NA>3폐업2폐업20141226<NA><NA><NA>02-418-1477<NA>138862서울특별시 송파구 잠실동 196번지 8층 907호서울특별시 송파구 백제고분로 75, 8층 907호 (잠실동)138862(주)청석공영2014-12-26 17:33:03I2018-08-31 23:59:59.0<NA>206932.357872445301.060652건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
1323000032300009219960000320120131<NA>3폐업2폐업20120131<NA><NA><NA>4470676<NA>138832서울특별시 송파구 방이동 154번지 해동빌딩 301호<NA><NA>(주)대사개발2012-01-31 10:18:43I2018-08-31 23:59:59.0<NA>210183.993622445753.027733건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
2323000032300009219990000120110708<NA>3폐업2폐업20110708<NA><NA><NA><NA><NA>138871서울특별시 송파구 장지동 623-1번지<NA><NA>(주)보나환경2011-07-08 14:20:41I2018-08-31 23:59:59.0<NA>211208.903954441241.002754건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>1050<NA>
3323000032300009219990001519990326<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-443-3280<NA><NA>서울특별시 송파구 방이동 61-11서울특별시 송파구 오금로13길 19, 401호 (방이동)05547(주)지구환경2022-10-24 20:59:27U2021-10-30 22:06:00.0<NA>209645.211717445739.898298<NA><NA><NA><NA><NA><NA>
432300003230000922000000252000-10-27<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6270-0742<NA>138-040서울특별시 송파구 풍납동 391-5 풍납동 N빌딩서울특별시 송파구 올림픽로 493, 풍납동 N빌딩 (풍납동)05539(주)삼표산업 송파지점2024-05-03 15:44:35U2023-12-05 00:05:00.0<NA>210331.946396447142.576627<NA><NA><NA><NA><NA><NA>
5323000032300009220010000120010604<NA>1영업/정상BBBB영업<NA><NA><NA><NA>024085080<NA>138200서울특별시 송파구 문정동 98번지서울특별시 송파구 새말로12길 7, 2층 (문정동, (문정동))138200전국건설기계2014-07-16 11:03:43I2018-08-31 23:59:59.0<NA>211368.004967442285.090702건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>1050<NA>
632300003230000922001000052015-09-24<NA>1영업/정상BBBB영업<NA><NA><NA><NA>024076250<NA>138-858서울특별시 송파구 오금동 48-10 프라임빌딩 2층서울특별시 송파구 중대로38길 8, 2층 (오금동, 프라임빌딩)138-858제세중기2024-04-12 13:52:33U2023-12-03 23:04:00.0<NA>211266.842526444578.554535<NA><NA><NA><NA><NA><NA>
732300003230000922001000122013-08-06<NA>1영업/정상BBBB영업<NA><NA><NA><NA>22023307<NA>138-849서울특별시 송파구 송파동 31-2 현대레이크빌 110호서울특별시 송파구 석촌호수로 284, 1층 110호 (송파동, 현대레이크빌)138-849삼천통운2023-03-16 16:03:09U2022-12-02 23:08:00.0<NA>209389.696217445393.711557<NA><NA><NA><NA><NA><NA>
8323000032300009220010002020200408<NA>3폐업2폐업20200408<NA><NA><NA>02-3462-0123<NA>138800서울특별시 송파구 가락동 5번지서울특별시 송파구 오금로34길 10 (가락동)138800신풍건기2020-04-08 14:59:11U2020-04-10 02:40:00.0<NA>210951.983623444504.618556건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
9323000032300009220010002120010720<NA>3폐업2폐업20080602<NA><NA><NA>4431474<NA>138200서울특별시 송파구 문정동 49번지 3층<NA><NA>팔팔화물2008-06-19 14:52:09I2018-08-31 23:59:59.0<NA>210830.462208442782.272871건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
1132300003230000922002000382002-01-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-443-6999<NA><NA>서울특별시 송파구 가락동 117-12서울특별시 송파구 중대로12길 22-20, B02호 (가락동)05829하늘환경2023-06-20 16:42:11U2022-12-05 22:02:00.0<NA>210834.25443374.84<NA><NA><NA><NA><NA><NA>
12323000032300009220030000120141226<NA>3폐업2폐업20141226<NA><NA><NA>22031477<NA>138759서울특별시 송파구 잠실동 196번지 제8층 907호서울특별시 송파구 백제고분로 75, 제8층 907호 (잠실동)138759(주)청석티이씨2014-12-26 17:33:00I2018-08-31 23:59:59.0<NA>206932.357872445301.060652건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
13323000032300009220040000120111208<NA>3폐업2폐업20111208<NA><NA><NA>4482556<NA>138169서울특별시 송파구 가락동 17-2번지<NA><NA>신우건기2011-12-08 19:19:24I2018-08-31 23:59:59.0<NA>210931.32728444358.279092건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
1432300003230000922006000012006-12-27<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>139-200서울특별시 송파구 잠실동 40 갤러리아팰리스서울특별시 송파구 올림픽로 212 (잠실동, 갤러리아팰리스)05553(주)삼보환경2023-08-01 19:40:48U2022-12-08 00:03:00.0<NA>208233.926975445435.257648<NA><NA><NA><NA><NA><NA>
15323000032300009220070000120070502<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-558-4410<NA>138871서울특별시 송파구 장지동 744-18서울특별시 송파구 성남대로 1541-59 (장지동)138871금녕산업개발(주)2022-09-08 17:47:55U2021-12-08 23:01:00.0<NA>210904.335199440535.218736<NA><NA><NA><NA><NA><NA>
16323000032300009220070000220091222<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-425-1681<NA>138814서울특별시 송파구 거여동 32-2번지 3층서울특별시 송파구 오금로 534, 3층 (거여동)138814(주)대현환경개발(허가취소업체)2016-06-29 16:53:59I2018-08-31 23:59:59.0<NA>213030.20853443404.076071건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
1732300003230000922009000012009-10-15<NA>1영업/정상BBBB영업<NA><NA><NA><NA>07088239343<NA>138-200서울특별시 송파구 문정동 87-19 201호서울특별시 송파구 송이로34길 57, 201호 (문정동)05809토암환경(주)2023-05-19 09:59:36U2022-12-04 22:01:00.0<NA>211197.373174442476.463675<NA><NA><NA><NA><NA><NA>
18323000032300009220090000220141226<NA>3폐업2폐업20141226<NA><NA><NA>4072331<NA>138812서울특별시 송파구 가락동 185-5번지 관음빌딩 2층서울특별시 송파구 문정로11길 12, 2층 (가락동, 관음빌딩)138812덕호중기2014-12-26 17:32:56I2018-08-31 23:59:59.0<NA>211834.079336443488.453242건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
19323000032300009220160000120221208<NA>3폐업2폐업20221207<NA><NA><NA>08077770482<NA><NA><NA>서울특별시 송파구 충민로 10, a09호 (문정동, 가든파이브툴)05840이호개발(주)2022-12-08 13:14:51U2021-11-01 23:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2032300003230000922022000012022-09-14<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 618 파크하비오서울특별시 송파구 송파대로 111, 204동 1519호 (문정동, 파크하비오)05837금녕산업(주)2023-05-23 13:49:25U2022-12-04 22:05:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA>