Overview

Dataset statistics

Number of variables31
Number of observations24
Missing cells224
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory268.5 B

Variable types

Categorical11
Numeric3
DateTime3
Unsupported7
Text7

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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-19307/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐기물구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (75.0%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 8 (33.3%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 8 (33.3%) missing valuesMissing
지번주소 has 1 (4.2%) missing valuesMissing
도로명주소 has 8 (33.3%) missing valuesMissing
도로명우편번호 has 8 (33.3%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
폐기물처리업별처리구분명 has 24 (100.0%) missing valuesMissing
폐기물구분명 has 23 (95.8%) missing valuesMissing
허용보관량내용 has 24 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
허용보관량내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:25:57.950975
Analysis finished2024-04-06 12:25:58.800761
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3050000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 24
100.0%

Length

2024-04-06T21:25:58.958659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:59.132880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 24
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0500009 × 1017
Minimum3.0500009 × 1017
Maximum3.0500009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T21:25:59.314265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0500009 × 1017
5-th percentile3.0500009 × 1017
Q13.0500009 × 1017
median3.0500009 × 1017
Q33.0500009 × 1017
95-th percentile3.0500009 × 1017
Maximum3.0500009 × 1017
Range1600000
Interquartile range (IQR)275008

Descriptive statistics

Standard deviation488043.41
Coefficient of variation (CV)1.6001418 × 10-12
Kurtosis1.4109609
Mean3.0500009 × 1017
Median Absolute Deviation (MAD)100000
Skewness1.6128101
Sum7.3200022 × 1018
Variance2.3818637 × 1011
MonotonicityStrictly increasing
2024-04-06T21:25:59.568208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
305000092200600001 1
 
4.2%
305000092200700012 1
 
4.2%
305000092202200001 1
 
4.2%
305000092202100001 1
 
4.2%
305000092201800001 1
 
4.2%
305000092201500002 1
 
4.2%
305000092201500001 1
 
4.2%
305000092201200001 1
 
4.2%
305000092200900002 1
 
4.2%
305000092200900001 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
305000092200600001 1
4.2%
305000092200600002 1
4.2%
305000092200600003 1
4.2%
305000092200600004 1
4.2%
305000092200700001 1
4.2%
305000092200700002 1
4.2%
305000092200700005 1
4.2%
305000092200700006 1
4.2%
305000092200700007 1
4.2%
305000092200700008 1
4.2%
ValueCountFrequency (%)
305000092202200001 1
4.2%
305000092202100001 1
4.2%
305000092201800001 1
4.2%
305000092201500002 1
4.2%
305000092201500001 1
4.2%
305000092201200001 1
4.2%
305000092200900002 1
4.2%
305000092200900001 1
4.2%
305000092200800001 1
4.2%
305000092200700013 1
4.2%

인허가일자
Date

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2000-12-23 00:00:00
Maximum2022-09-06 00:00:00
2024-04-06T21:25:59.829280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:00.136689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
18 
3
5 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
75.0%
3 5
 
20.8%
2 1
 
4.2%

Length

2024-04-06T21:26:00.498998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:00.702708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
75.0%
3 5
 
20.8%
2 1
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
18 
폐업
5 
휴업
 
1

Length

Max length5
Median length5
Mean length4.25
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
75.0%
폐업 5
 
20.8%
휴업 1
 
4.2%

Length

2024-04-06T21:26:00.950802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:01.267222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
75.0%
폐업 5
 
20.8%
휴업 1
 
4.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
BBBB
18 
2
5 
1
 
1

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 18
75.0%
2 5
 
20.8%
1 1
 
4.2%

Length

2024-04-06T21:26:01.605421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:01.872508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 18
75.0%
2 5
 
20.8%
1 1
 
4.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업
18 
폐업
5 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업 18
75.0%
폐업 5
 
20.8%
휴업 1
 
4.2%

Length

2024-04-06T21:26:02.150587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:02.391342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 18
75.0%
폐업 5
 
20.8%
휴업 1
 
4.2%

폐업일자
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
18 
20170405
4 
20090427
 
1
20070703
 
1

Length

Max length8
Median length4
Mean length5
Min length4

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row<NA>
2nd row<NA>
3rd row20170405
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
75.0%
20170405 4
 
16.7%
20090427 1
 
4.2%
20070703 1
 
4.2%

Length

2024-04-06T21:26:03.290046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:03.537420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
75.0%
20170405 4
 
16.7%
20090427 1
 
4.2%
20070703 1
 
4.2%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20080508
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20080508 1
 
4.2%

Length

2024-04-06T21:26:03.887482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:04.170230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20080508 1
 
4.2%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing8
Missing (%)33.3%
Memory size324.0 B
2024-04-06T21:26:04.511579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.875
Min length9

Characters and Unicode

Total characters174
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)87.5%

Sample

1st row02 957 7590
2nd row2217-5022
3rd row02-2217-3033
4th row6403-7895
5th row0222436591
ValueCountFrequency (%)
02 3
15.0%
02-2217-3033 2
 
10.0%
22173033 1
 
5.0%
0222483888 1
 
5.0%
0222423404 1
 
5.0%
024674999 1
 
5.0%
02-2248-8122 1
 
5.0%
070-4907-1852 1
 
5.0%
02-2245-0072 1
 
5.0%
22450072 1
 
5.0%
Other values (7) 7
35.0%
2024-04-06T21:26:05.223533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 46
26.4%
0 28
16.1%
4 15
 
8.6%
- 14
 
8.0%
3 14
 
8.0%
7 13
 
7.5%
9 10
 
5.7%
1 8
 
4.6%
5 8
 
4.6%
8 8
 
4.6%
Other values (2) 10
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
88.5%
Dash Punctuation 14
 
8.0%
Space Separator 6
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
29.9%
0 28
18.2%
4 15
 
9.7%
3 14
 
9.1%
7 13
 
8.4%
9 10
 
6.5%
1 8
 
5.2%
5 8
 
5.2%
8 8
 
5.2%
6 4
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 46
26.4%
0 28
16.1%
4 15
 
8.6%
- 14
 
8.0%
3 14
 
8.0%
7 13
 
7.5%
9 10
 
5.7%
1 8
 
4.6%
5 8
 
4.6%
8 8
 
4.6%
Other values (2) 10
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 46
26.4%
0 28
16.1%
4 15
 
8.6%
- 14
 
8.0%
3 14
 
8.0%
7 13
 
7.5%
9 10
 
5.7%
1 8
 
4.6%
5 8
 
4.6%
8 8
 
4.6%
Other values (2) 10
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Text

MISSING 

Distinct11
Distinct (%)68.8%
Missing8
Missing (%)33.3%
Memory size324.0 B
2024-04-06T21:26:05.673595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.25
Min length6

Characters and Unicode

Total characters100
Distinct characters9
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

Unique9 ?
Unique (%)56.2%

Sample

1st row130070
2nd row130846
3rd row130-030
4th row130100
5th row130804
ValueCountFrequency (%)
130100 4
25.0%
130030 3
18.8%
130070 1
 
6.2%
130846 1
 
6.2%
130-030 1
 
6.2%
130804 1
 
6.2%
130-804 1
 
6.2%
130-101 1
 
6.2%
130808 1
 
6.2%
130091 1
 
6.2%
2024-04-06T21:26:06.317998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
40.0%
1 24
24.0%
3 21
21.0%
8 5
 
5.0%
- 4
 
4.0%
4 3
 
3.0%
7 1
 
1.0%
6 1
 
1.0%
9 1
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
96.0%
Dash Punctuation 4
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
41.7%
1 24
25.0%
3 21
21.9%
8 5
 
5.2%
4 3
 
3.1%
7 1
 
1.0%
6 1
 
1.0%
9 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
40.0%
1 24
24.0%
3 21
21.0%
8 5
 
5.0%
- 4
 
4.0%
4 3
 
3.0%
7 1
 
1.0%
6 1
 
1.0%
9 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
40.0%
1 24
24.0%
3 21
21.0%
8 5
 
5.0%
- 4
 
4.0%
4 3
 
3.0%
7 1
 
1.0%
6 1
 
1.0%
9 1
 
1.0%

지번주소
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2024-04-06T21:26:06.670488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length26.608696
Min length20

Characters and Unicode

Total characters612
Distinct characters63
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

Unique17 ?
Unique (%)73.9%

Sample

1st row서울특별시 동대문구 용두동 138-41번지 두산베어스타워 201호
2nd row서울특별시 동대문구 답십리동 498-5 메트로팰리스 207호
3rd row서울특별시 동대문구 답십리동 999 청계벽산메가트리움 102동 1506호
4th row서울특별시 동대문구 용두동 39-955번지
5th row서울특별시 동대문구 장안동 457-1 태양빌딩 4층
ValueCountFrequency (%)
서울특별시 23
20.7%
동대문구 23
20.7%
답십리동 11
 
9.9%
장안동 7
 
6.3%
용두동 2
 
1.8%
201호 2
 
1.8%
산 2
 
1.8%
2-133 2
 
1.8%
465-55번지 2
 
1.8%
301-1번지 2
 
1.8%
Other values (31) 35
31.5%
2024-04-06T21:26:07.430811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
15.8%
동 48
 
7.8%
대 24
 
3.9%
서 23
 
3.8%
울 23
 
3.8%
특 23
 
3.8%
별 23
 
3.8%
시 23
 
3.8%
문 23
 
3.8%
구 23
 
3.8%
Other values (53) 282
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
59.8%
Decimal Number 128
 
20.9%
Space Separator 97
 
15.8%
Dash Punctuation 21
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
13.1%
대 24
 
6.6%
서 23
 
6.3%
울 23
 
6.3%
특 23
 
6.3%
별 23
 
6.3%
시 23
 
6.3%
문 23
 
6.3%
구 23
 
6.3%
리 14
 
3.8%
Other values (41) 119
32.5%
Decimal Number
ValueCountFrequency (%)
1 19
14.8%
5 18
14.1%
4 16
12.5%
3 16
12.5%
9 14
10.9%
2 14
10.9%
0 10
7.8%
6 9
7.0%
7 7
 
5.5%
8 5
 
3.9%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
59.8%
Common 246
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
13.1%
대 24
 
6.6%
서 23
 
6.3%
울 23
 
6.3%
특 23
 
6.3%
별 23
 
6.3%
시 23
 
6.3%
문 23
 
6.3%
구 23
 
6.3%
리 14
 
3.8%
Other values (41) 119
32.5%
Common
ValueCountFrequency (%)
97
39.4%
- 21
 
8.5%
1 19
 
7.7%
5 18
 
7.3%
4 16
 
6.5%
3 16
 
6.5%
9 14
 
5.7%
2 14
 
5.7%
0 10
 
4.1%
6 9
 
3.7%
Other values (2) 12
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
59.8%
ASCII 246
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
39.4%
- 21
 
8.5%
1 19
 
7.7%
5 18
 
7.3%
4 16
 
6.5%
3 16
 
6.5%
9 14
 
5.7%
2 14
 
5.7%
0 10
 
4.1%
6 9
 
3.7%
Other values (2) 12
 
4.9%
Hangul
ValueCountFrequency (%)
동 48
13.1%
대 24
 
6.6%
서 23
 
6.3%
울 23
 
6.3%
특 23
 
6.3%
별 23
 
6.3%
시 23
 
6.3%
문 23
 
6.3%
구 23
 
6.3%
리 14
 
3.8%
Other values (41) 119
32.5%

도로명주소
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing8
Missing (%)33.3%
Memory size324.0 B
2024-04-06T21:26:07.806711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length36.5625
Min length26

Characters and Unicode

Total characters585
Distinct characters77
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)87.5%

Sample

1st row서울특별시 동대문구 왕산로 81, 201호 (용두동, 두산베어스타워)
2nd row서울특별시 동대문구 천호대로 247, 메트로팰리스 207호 (답십리동)
3rd row서울특별시 동대문구 천호대로 241, 102동 1506호 (답십리동, 청계벽산메가트리움)
4th row서울특별시 동대문구 사가정로 23 (장안동, 사가정로23가길51,3동203호(장안동,미도빌라))
5th row서울특별시 동대문구 천호대로91길 12, 4층 (장안동, 태양빌딩)
ValueCountFrequency (%)
서울특별시 16
 
15.7%
동대문구 16
 
15.7%
답십리동 8
 
7.8%
천호대로 5
 
4.9%
장안동 4
 
3.9%
81 2
 
2.0%
답십리로 2
 
2.0%
201호 2
 
2.0%
187 2
 
2.0%
241 2
 
2.0%
Other values (40) 43
42.2%
2024-04-06T21:26:08.412750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
14.7%
동 36
 
6.2%
대 24
 
4.1%
1 23
 
3.9%
, 20
 
3.4%
2 20
 
3.4%
로 18
 
3.1%
) 17
 
2.9%
( 17
 
2.9%
울 16
 
2.7%
Other values (67) 308
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
58.8%
Decimal Number 99
 
16.9%
Space Separator 86
 
14.7%
Other Punctuation 20
 
3.4%
Close Punctuation 17
 
2.9%
Open Punctuation 17
 
2.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
 
10.5%
대 24
 
7.0%
로 18
 
5.2%
울 16
 
4.7%
서 16
 
4.7%
구 16
 
4.7%
문 16
 
4.7%
시 16
 
4.7%
별 16
 
4.7%
특 16
 
4.7%
Other values (52) 154
44.8%
Decimal Number
ValueCountFrequency (%)
1 23
23.2%
2 20
20.2%
0 10
10.1%
3 10
10.1%
5 9
 
9.1%
4 8
 
8.1%
7 7
 
7.1%
8 6
 
6.1%
6 5
 
5.1%
9 1
 
1.0%
Space Separator
ValueCountFrequency (%)
86
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%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
58.8%
Common 241
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
 
10.5%
대 24
 
7.0%
로 18
 
5.2%
울 16
 
4.7%
서 16
 
4.7%
구 16
 
4.7%
문 16
 
4.7%
시 16
 
4.7%
별 16
 
4.7%
특 16
 
4.7%
Other values (52) 154
44.8%
Common
ValueCountFrequency (%)
86
35.7%
1 23
 
9.5%
, 20
 
8.3%
2 20
 
8.3%
) 17
 
7.1%
( 17
 
7.1%
0 10
 
4.1%
3 10
 
4.1%
5 9
 
3.7%
4 8
 
3.3%
Other values (5) 21
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
58.8%
ASCII 241
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
35.7%
1 23
 
9.5%
, 20
 
8.3%
2 20
 
8.3%
) 17
 
7.1%
( 17
 
7.1%
0 10
 
4.1%
3 10
 
4.1%
5 9
 
3.7%
4 8
 
3.3%
Other values (5) 21
 
8.7%
Hangul
ValueCountFrequency (%)
동 36
 
10.5%
대 24
 
7.0%
로 18
 
5.2%
울 16
 
4.7%
서 16
 
4.7%
구 16
 
4.7%
문 16
 
4.7%
시 16
 
4.7%
별 16
 
4.7%
특 16
 
4.7%
Other values (52) 154
44.8%

도로명우편번호
Text

MISSING 

Distinct13
Distinct (%)81.2%
Missing8
Missing (%)33.3%
Memory size324.0 B
2024-04-06T21:26:08.798051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.625
Min length5

Characters and Unicode

Total characters90
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

Unique11 ?
Unique (%)68.8%

Sample

1st row02577
2nd row02603
3rd row02603
4th row130836
5th row130-101
ValueCountFrequency (%)
02603 3
18.8%
130-101 2
12.5%
02577 1
 
6.2%
130836 1
 
6.2%
130804 1
 
6.2%
02602 1
 
6.2%
130808 1
 
6.2%
02545 1
 
6.2%
130091 1
 
6.2%
130-031 1
 
6.2%
Other values (3) 3
18.8%
2024-04-06T21:26:09.449264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
30.0%
3 13
14.4%
1 13
14.4%
2 11
12.2%
6 7
 
7.8%
5 4
 
4.4%
8 4
 
4.4%
4 4
 
4.4%
- 3
 
3.3%
7 3
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
96.7%
Dash Punctuation 3
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
31.0%
3 13
14.9%
1 13
14.9%
2 11
12.6%
6 7
 
8.0%
5 4
 
4.6%
8 4
 
4.6%
4 4
 
4.6%
7 3
 
3.4%
9 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
30.0%
3 13
14.4%
1 13
14.4%
2 11
12.2%
6 7
 
7.8%
5 4
 
4.4%
8 4
 
4.4%
4 4
 
4.4%
- 3
 
3.3%
7 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
30.0%
3 13
14.4%
1 13
14.4%
2 11
12.2%
6 7
 
7.8%
5 4
 
4.4%
8 4
 
4.4%
4 4
 
4.4%
- 3
 
3.3%
7 3
 
3.3%

사업장명
Text

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-06T21:26:09.804906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.2916667
Min length4

Characters and Unicode

Total characters151
Distinct characters53
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

Unique15 ?
Unique (%)62.5%

Sample

1st row민산건설중기
2nd row장원건설기계
3rd row선유건기
4th row민산건설중기
5th row(주)하경엘씨
ValueCountFrequency (%)
선유건기 3
 
12.0%
장원건설기계 2
 
8.0%
민산건설중기 2
 
8.0%
주)하경엘씨 2
 
8.0%
주)대성에코 2
 
8.0%
부림건설기계 2
 
8.0%
주)대성개발산업 1
 
4.0%
주식회사 1
 
4.0%
우성개발 1
 
4.0%
통일로지스 1
 
4.0%
Other values (8) 8
32.0%
2024-04-06T21:26:10.542401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 12
 
7.9%
기 11
 
7.3%
주 10
 
6.6%
설 9
 
6.0%
) 9
 
6.0%
( 7
 
4.6%
산 6
 
4.0%
성 6
 
4.0%
계 6
 
4.0%
경 4
 
2.6%
Other values (43) 71
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
88.7%
Close Punctuation 9
 
6.0%
Open Punctuation 7
 
4.6%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 12
 
9.0%
기 11
 
8.2%
주 10
 
7.5%
설 9
 
6.7%
산 6
 
4.5%
성 6
 
4.5%
계 6
 
4.5%
경 4
 
3.0%
대 4
 
3.0%
개 3
 
2.2%
Other values (40) 63
47.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
88.7%
Common 17
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 12
 
9.0%
기 11
 
8.2%
주 10
 
7.5%
설 9
 
6.7%
산 6
 
4.5%
성 6
 
4.5%
계 6
 
4.5%
경 4
 
3.0%
대 4
 
3.0%
개 3
 
2.2%
Other values (40) 63
47.0%
Common
ValueCountFrequency (%)
) 9
52.9%
( 7
41.2%
1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
88.7%
ASCII 17
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 12
 
9.0%
기 11
 
8.2%
주 10
 
7.5%
설 9
 
6.7%
산 6
 
4.5%
성 6
 
4.5%
계 6
 
4.5%
경 4
 
3.0%
대 4
 
3.0%
개 3
 
2.2%
Other values (40) 63
47.0%
ASCII
ValueCountFrequency (%)
) 9
52.9%
( 7
41.2%
1
 
5.9%

최종수정일자
Date

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2007-07-21 10:44:03
Maximum2024-04-01 13:23:06
2024-04-06T21:26:10.847100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:11.079050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

데이터갱신구분
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
U
13 
I
9 
D
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 13
54.2%
I 9
37.5%
D 2
 
8.3%

Length

2024-04-06T21:26:11.349504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:11.646286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
54.2%
i 9
37.5%
d 2
 
8.3%

데이터갱신일자
Date

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T21:26:11.856001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:12.210068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204449.13
Minimum194533.98
Maximum206329.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T21:26:12.512187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum194533.98
5-th percentile202847.57
Q1204122.39
median204427.94
Q3206028.38
95-th percentile206251.67
Maximum206329.14
Range11795.166
Interquartile range (IQR)1905.9895

Descriptive statistics

Standard deviation2365.6136
Coefficient of variation (CV)0.011570671
Kurtosis14.133657
Mean204449.13
Median Absolute Deviation (MAD)941.92858
Skewness-3.3763582
Sum4906779.2
Variance5596127.5
MonotonicityNot monotonic
2024-04-06T21:26:12.904965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
204320.90255219 2
 
8.3%
204122.386097777 2
 
8.3%
205332.497828064 2
 
8.3%
206251.667197634 2
 
8.3%
202792.678699836 1
 
4.2%
204036.180119201 1
 
4.2%
194533.976771823 1
 
4.2%
203158.601221164 1
 
4.2%
206009.495097994 1
 
4.2%
206037.083079892 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
194533.976771823 1
4.2%
202792.678699836 1
4.2%
203158.601221164 1
4.2%
203448.640673811 1
4.2%
204036.180119201 1
4.2%
204122.386097777 2
8.3%
204209.857553815 1
4.2%
204320.90255219 2
8.3%
204339.02648963 1
4.2%
204360.747126629 1
4.2%
ValueCountFrequency (%)
206329.142312404 1
4.2%
206251.667197634 2
8.3%
206127.547866452 1
4.2%
206040.667208341 1
4.2%
206037.083079892 1
4.2%
206025.47310789 1
4.2%
206009.495097994 1
4.2%
205332.497828064 2
8.3%
204780.013360971 1
4.2%
204495.13298 1
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452959.73
Minimum450994.91
Maximum468065.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T21:26:13.190037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450994.91
5-th percentile451169.33
Q1451953.65
median452134.22
Q3452916.8
95-th percentile453979.23
Maximum468065.94
Range17071.027
Interquartile range (IQR)963.14914

Descriptive statistics

Standard deviation3298.8013
Coefficient of variation (CV)0.0072827695
Kurtosis21.415205
Mean452959.73
Median Absolute Deviation (MAD)274.01513
Skewness4.522187
Sum10871034
Variance10882090
MonotonicityNot monotonic
2024-04-06T21:26:13.485228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
451953.64664235 2
 
8.3%
452061.863009822 2
 
8.3%
452324.191656316 2
 
8.3%
452921.799467896 2
 
8.3%
452915.127892459 1
 
4.2%
452108.423558293 1
 
4.2%
468065.941237462 1
 
4.2%
453981.580413289 1
 
4.2%
451806.846262685 1
 
4.2%
453965.88410096 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
450994.913744005 1
4.2%
451097.582712311 1
4.2%
451575.878006889 1
4.2%
451806.846262685 1
4.2%
451913.557300365 1
4.2%
451953.64664235 2
8.3%
452004.29109378 1
4.2%
452014.552197999 1
4.2%
452061.863009822 2
8.3%
452108.423558293 1
4.2%
ValueCountFrequency (%)
468065.941237462 1
4.2%
453981.580413289 1
4.2%
453965.88410096 1
4.2%
453134.42857571 1
4.2%
452921.799467896 2
8.3%
452915.127892459 1
4.2%
452555.839505454 1
4.2%
452324.191656316 2
8.3%
452215.684030365 1
4.2%
452160.010263121 1
4.2%

환경업무구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
14 
건설폐기물처리업사업계획(허가)신청
10 

Length

Max length18
Median length4
Mean length9.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
58.3%
건설폐기물처리업사업계획(허가)신청 10
41.7%

Length

2024-04-06T21:26:13.785978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:14.037123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
58.3%
건설폐기물처리업사업계획(허가)신청 10
41.7%

폐기물처리업구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
수집운반업(건설폐기물)
3 

Length

Max length12
Median length4
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
수집운반업(건설폐기물) 3
 
12.5%

Length

2024-04-06T21:26:14.335150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:14.631262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
수집운반업(건설폐기물 3
 
12.5%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

폐기물구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing23
Missing (%)95.8%
Memory size324.0 B
2024-04-06T21:26:14.852508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row건설폐기물
ValueCountFrequency (%)
건설폐기물 1
100.0%
2024-04-06T21:26:15.390713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

허용보관량
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0
3 

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-04-06T21:26:15.757987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:15.964502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
0305000030500009220060000120001223<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02 957 7590<NA><NA>서울특별시 동대문구 용두동 138-41번지 두산베어스타워 201호서울특별시 동대문구 왕산로 81, 201호 (용두동, 두산베어스타워)02577민산건설중기2019-09-24 13:07:11U2019-09-26 02:40:00.0<NA>202792.6787452915.127892건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
130500003050000922006000022006-12-28<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2217-5022<NA><NA>서울특별시 동대문구 답십리동 498-5 메트로팰리스 207호서울특별시 동대문구 천호대로 247, 메트로팰리스 207호 (답십리동)02603장원건설기계2023-11-16 14:01:28U2022-10-31 23:08:00.0<NA>204339.02649451913.5573<NA><NA><NA><NA><NA><NA>
2305000030500009220060000320061228<NA>3폐업2폐업20170405<NA><NA><NA>02-2217-3033<NA><NA>서울특별시 동대문구 답십리동 999 청계벽산메가트리움 102동 1506호서울특별시 동대문구 천호대로 241, 102동 1506호 (답십리동, 청계벽산메가트리움)02603선유건기2022-10-14 09:31:23U2021-10-30 23:06:00.0<NA>204320.902552451953.646642<NA><NA><NA><NA><NA><NA>
3305000030500009220060000420070702<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>130070서울특별시 동대문구 용두동 39-955번지<NA><NA>민산건설중기2007-07-21 10:44:03I2018-08-31 23:59:59.0<NA>203448.640674452555.839505건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
4305000030500009220070000120050829<NA>1영업/정상BBBB영업<NA><NA><NA><NA>6403-7895<NA>130846<NA>서울특별시 동대문구 사가정로 23 (장안동, 사가정로23가길51,3동203호(장안동,미도빌라))130836(주)하경엘씨2022-02-09 09:23:44D2021-12-08 22:08:00.0<NA>204360.747127452160.010263<NA><NA><NA><NA><NA><NA>
530500003050000922007000022001-04-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222436591<NA>130-030서울특별시 동대문구 장안동 457-1 태양빌딩 4층서울특별시 동대문구 천호대로91길 12, 4층 (장안동, 태양빌딩)130-101동광건설기계2023-11-07 13:01:59U2022-11-01 00:09:00.0<NA>206025.473108451097.582712<NA><NA><NA><NA><NA><NA>
6305000030500009220070000520070517<NA>2휴업1휴업2009042720080508<NA><NA><NA><NA>130100서울특별시 동대문구 장안동 370-2번지<NA><NA>(주)남경개발2009-04-28 09:32:28I2018-08-31 23:59:59.0<NA>206127.547866452215.68403건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
7305000030500009220070000620070521<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>130804서울특별시 동대문구 답십리동 465-55번지서울특별시 동대문구 천호대로 221 (답십리동, 465-55)130804장원건설기계2012-07-25 14:42:28I2018-08-31 23:59:59.0<NA>204122.386098452061.86301건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
8305000030500009220070000720070529<NA>3폐업2폐업20070703<NA><NA><NA><NA><NA>130100서울특별시 동대문구 장안동 466-9번지<NA><NA>주)하경엘씨2007-07-21 10:44:03I2018-08-31 23:59:59.0<NA>206040.667208450994.913744건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
9305000030500009220070000820061228<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2217-3033<NA><NA>서울특별시 동대문구 답십리동 999 청계벽산메가트리움 102동 1506호서울특별시 동대문구 천호대로 241, 102동 1506호 (답십리동, 청계벽산메가트리움)02603선유건기2022-10-14 09:31:23U2021-10-30 23:06:00.0<NA>204320.902552451953.646642<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
14305000030500009220070001320070720<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>130030서울특별시 동대문구 답십리동 465-98번지<NA><NA>동천건설기계2007-07-21 10:44:03I2018-08-31 23:59:59.0<NA>204036.180119452108.423558건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
15305000030500009220080000120091223<NA>3폐업2폐업20170405<NA><NA><NA>02-2245-0072<NA>130100서울특별시 동대문구 장안동 301-1번지<NA><NA>(주)대성에코2013-03-20 16:19:46I2018-08-31 23:59:59.0<NA>206251.667198452921.799468건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
1630500003050000922009000012009-02-12<NA>1영업/정상BBBB영업<NA><NA><NA><NA>070-4907-1852<NA>130-101서울특별시 동대문구 장안동 354-2서울특별시 동대문구 장한로14길 81 (장안동, 래미안상가105)130-101우성개발2024-04-01 13:23:06U2023-12-04 00:03:00.0<NA>206329.142312451575.878007<NA><NA><NA><NA><NA><NA>
17305000030500009220090000220090326<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2248-8122<NA>130808서울특별시 동대문구 답십리동 산 2-133 2층서울특별시 동대문구 답십리로 187, 2층 (답십리동)130808(주)대성해체산업2021-09-06 14:02:38D2021-12-08 22:08:00.0<NA>205332.497828452324.191656<NA><NA><NA><NA><NA><NA>
1830500003050000922012000012012-03-02<NA>1영업/정상BBBB영업<NA><NA><NA><NA>024674999<NA><NA>서울특별시 동대문구 전농동 196-5서울특별시 동대문구 전농로23길 11 (전농동)02545진성그린건설2023-06-01 09:29:24U2022-12-06 00:03:00.0<NA>204780.013361453134.428576<NA><NA><NA><NA><NA><NA>
19305000030500009220150000120150323<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222423404<NA>130091서울특별시 동대문구 휘경동 49-284서울특별시 동대문구 장안벚꽃로 333 (휘경동)130091은하수산업(주)2022-06-23 17:27:28U2021-12-05 22:05:00.0<NA>206037.08308453965.884101<NA><NA><NA><NA><NA><NA>
2030500003050000922015000022015-04-24<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222483888<NA>130-031서울특별시 동대문구 답십리동 산 2-133서울특별시 동대문구 답십리로 187, 1층 (답십리동)130-031(주)대성개발산업2023-11-10 16:12:16U2022-10-31 23:02:00.0<NA>205332.497828452324.191656<NA><NA><NA><NA><NA><NA>
2130500003050000922018000012018-09-14<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 374-1 장안현대벤처빌 225호서울특별시 동대문구 장한로 85, 장안현대벤처빌 225호 (장안동)02625(주)태산환경2024-02-28 14:55:02U2023-12-03 00:01:00.0<NA>206009.495098451806.846263<NA><NA><NA><NA><NA><NA>
2230500003050000922021000012021-06-01<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-922-2404<NA><NA>서울특별시 동대문구 제기동 137-347 201호서울특별시 동대문구 안암로24길 27, 201호 (제기동)02473통일로지스2023-10-27 17:52:56U2022-10-30 22:09:00.0<NA>203158.601221453981.580413<NA><NA><NA><NA><NA><NA>
2330500003050000922022000012022-09-06<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 493-5 클래식타워서울특별시 동대문구 천호대로 307, 416호 (답십리동, 클래식타워)02604주식회사 케이이엔씨2023-12-26 13:03:33U2022-11-01 22:09:00.0<NA>194533.976772468065.941237<NA><NA><NA><NA><NA><NA>