Overview

Dataset statistics

Number of variables27
Number of observations33
Missing cells204
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory234.0 B

Variable types

Categorical13
Numeric3
DateTime3
Unsupported4
Text4

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),제조구분명,사업장부지용도구분명
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19008/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업종료일자 is highly imbalanced (80.4%)Imbalance
재개업일자 is highly imbalanced (80.4%)Imbalance
소재지면적 is highly imbalanced (80.4%)Imbalance
도로명우편번호 is highly imbalanced (53.7%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 27 (81.8%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
전화번호 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
지번주소 has 1 (3.0%) missing valuesMissing
도로명주소 has 21 (63.6%) missing valuesMissing
좌표정보(X) has 4 (12.1%) missing valuesMissing
좌표정보(Y) has 4 (12.1%) missing valuesMissing
사업장부지용도구분명 has 15 (45.5%) missing valuesMissing
관리번호 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
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:05:25.319218
Analysis finished2024-05-11 06:05:25.824791
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3060000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 33
100.0%

Length

2024-05-11T15:05:25.908496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:26.042224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0051848 × 1018
Minimum1.990306 × 1018
Maximum2.023306 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:05:26.210547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.990306 × 1018
5-th percentile1.996906 × 1018
Q12.002306 × 1018
median2.004306 × 1018
Q32.010306 × 1018
95-th percentile2.015506 × 1018
Maximum2.023306 × 1018
Range3.3 × 1016
Interquartile range (IQR)8.000002 × 1015

Descriptive statistics

Standard deviation6.5276226 × 1015
Coefficient of variation (CV)0.0032553721
Kurtosis1.2044798
Mean2.0051848 × 1018
Median Absolute Deviation (MAD)3 × 1015
Skewness0.45638687
Sum-7.615878 × 1018
Variance4.2609857 × 1031
MonotonicityStrictly increasing
2024-05-11T15:05:26.420383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1990306011902200001 1
 
3.0%
2010306009502100003 1
 
3.0%
2004306007502200001 1
 
3.0%
2004306009502100001 1
 
3.0%
2006306009502200001 1
 
3.0%
2008306009502100001 1
 
3.0%
2010306009502100001 1
 
3.0%
2010306009502100002 1
 
3.0%
2010306009502100004 1
 
3.0%
1993306011902100001 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1990306011902200001 1
3.0%
1993306011902100001 1
3.0%
1999306007502200002 1
3.0%
1999306007502200003 1
3.0%
1999306009502200003 1
3.0%
2001306007502100001 1
3.0%
2001306007502100002 1
3.0%
2001306007502200001 1
3.0%
2002306007502175031 1
3.0%
2002306007502178001 1
3.0%
ValueCountFrequency (%)
2023306011902200010 1
3.0%
2017306014502200001 1
3.0%
2014306009502100001 1
3.0%
2011306009502100003 1
3.0%
2011306009502100002 1
3.0%
2011306009502100001 1
3.0%
2010306009502100004 1
3.0%
2010306009502100003 1
3.0%
2010306009502100002 1
3.0%
2010306009502100001 1
3.0%

인허가일자
Date

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1978-03-03 00:00:00
Maximum2023-01-11 00:00:00
2024-05-11T15:05:26.591669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:26.763461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
26 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
78.8%
3 7
 
21.2%

Length

2024-05-11T15:05:26.982278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:27.128115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
78.8%
3 7
 
21.2%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
26 
폐업
7 

Length

Max length5
Median length5
Mean length4.3636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 26
78.8%
폐업 7
 
21.2%

Length

2024-05-11T15:05:27.305075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:27.442744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 26
78.8%
폐업 7
 
21.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
26 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
78.8%
3 7
 
21.2%

Length

2024-05-11T15:05:27.621696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:27.757853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
78.8%
3 7
 
21.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업중
26 
폐업
7 

Length

Max length3
Median length3
Mean length2.7878788
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 26
78.8%
폐업 7
 
21.2%

Length

2024-05-11T15:05:27.914843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:28.045839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 26
78.8%
폐업 7
 
21.2%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing27
Missing (%)81.8%
Memory size396.0 B
Minimum2006-07-03 00:00:00
Maximum2024-03-05 00:00:00
2024-05-11T15:05:28.151593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:28.281756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
20070313
 
1

Length

Max length8
Median length4
Mean length4.1212121
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
20070313 1
 
3.0%

Length

2024-05-11T15:05:28.515967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:28.696831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
20070313 1
 
3.0%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
20140617
 
1

Length

Max length8
Median length4
Mean length4.1212121
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
20140617 1
 
3.0%

Length

2024-05-11T15:05:28.884752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:29.061530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
20140617 1
 
3.0%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
6104.8
 
1

Length

Max length6
Median length4
Mean length4.0606061
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
6104.8 1
 
3.0%

Length

2024-05-11T15:05:29.239304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:29.402624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
6104.8 1
 
3.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지번주소
Text

MISSING 

Distinct27
Distinct (%)84.4%
Missing1
Missing (%)3.0%
Memory size396.0 B
2024-05-11T15:05:29.644806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length21.46875
Min length17

Characters and Unicode

Total characters687
Distinct characters55
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)71.9%

Sample

1st row서울특별시 중랑구 묵동 181-4 한국전력 동대문중랑지사
2nd row서울특별시 중랑구 망우동 490-3 동국빌딩
3rd row서울특별시 중랑구 면목동 168-2
4th row서울특별시 중랑구 면목동 168-2
5th row서울특별시 중랑구 면목동 168-2
ValueCountFrequency (%)
서울특별시 32
22.4%
중랑구 32
22.4%
면목동 10
 
7.0%
상봉동 9
 
6.3%
망우동 6
 
4.2%
신내동 5
 
3.5%
168-2 4
 
2.8%
500 3
 
2.1%
상봉 3
 
2.1%
프레미어스 3
 
2.1%
Other values (30) 36
25.2%
2024-05-11T15:05:30.128680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
19.4%
중 35
 
5.1%
서 34
 
4.9%
랑 34
 
4.9%
동 34
 
4.9%
울 33
 
4.8%
특 32
 
4.7%
별 32
 
4.7%
시 32
 
4.7%
구 32
 
4.7%
Other values (45) 256
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
58.8%
Space Separator 133
 
19.4%
Decimal Number 124
 
18.0%
Dash Punctuation 25
 
3.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 35
 
8.7%
서 34
 
8.4%
랑 34
 
8.4%
동 34
 
8.4%
울 33
 
8.2%
특 32
 
7.9%
별 32
 
7.9%
시 32
 
7.9%
구 32
 
7.9%
봉 12
 
3.0%
Other values (32) 94
23.3%
Decimal Number
ValueCountFrequency (%)
1 29
23.4%
2 14
11.3%
5 13
10.5%
8 12
9.7%
3 12
9.7%
6 11
 
8.9%
7 10
 
8.1%
0 9
 
7.3%
4 7
 
5.6%
9 7
 
5.6%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
58.8%
Common 283
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 35
 
8.7%
서 34
 
8.4%
랑 34
 
8.4%
동 34
 
8.4%
울 33
 
8.2%
특 32
 
7.9%
별 32
 
7.9%
시 32
 
7.9%
구 32
 
7.9%
봉 12
 
3.0%
Other values (32) 94
23.3%
Common
ValueCountFrequency (%)
133
47.0%
1 29
 
10.2%
- 25
 
8.8%
2 14
 
4.9%
5 13
 
4.6%
8 12
 
4.2%
3 12
 
4.2%
6 11
 
3.9%
7 10
 
3.5%
0 9
 
3.2%
Other values (3) 15
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
58.8%
ASCII 283
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
47.0%
1 29
 
10.2%
- 25
 
8.8%
2 14
 
4.9%
5 13
 
4.6%
8 12
 
4.2%
3 12
 
4.2%
6 11
 
3.9%
7 10
 
3.5%
0 9
 
3.2%
Other values (3) 15
 
5.3%
Hangul
ValueCountFrequency (%)
중 35
 
8.7%
서 34
 
8.4%
랑 34
 
8.4%
동 34
 
8.4%
울 33
 
8.2%
특 32
 
7.9%
별 32
 
7.9%
시 32
 
7.9%
구 32
 
7.9%
봉 12
 
3.0%
Other values (32) 94
23.3%

도로명주소
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing21
Missing (%)63.6%
Memory size396.0 B
2024-05-11T15:05:30.398669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length29.083333
Min length23

Characters and Unicode

Total characters349
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)58.3%

Sample

1st row서울특별시 중랑구 동일로 862, 한국전력 동대문중랑지사 (묵동)
2nd row서울특별시 중랑구 사가정로 332 (면목동)
3rd row서울특별시 중랑구 사가정로 332 (면목동)
4th row서울특별시 중랑구 동일로 705 (상봉동)
5th row서울특별시 중랑구 사가정로 332 (면목동)
ValueCountFrequency (%)
서울특별시 12
16.2%
중랑구 12
16.2%
상봉동 4
 
5.4%
망우로 4
 
5.4%
프레미어스 3
 
4.1%
상봉 3
 
4.1%
엠코 3
 
4.1%
353 3
 
4.1%
면목동 3
 
4.1%
332 3
 
4.1%
Other values (18) 24
32.4%
2024-05-11T15:05:30.901169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
17.8%
동 15
 
4.3%
3 15
 
4.3%
서 14
 
4.0%
중 14
 
4.0%
랑 14
 
4.0%
울 13
 
3.7%
로 12
 
3.4%
) 12
 
3.4%
( 12
 
3.4%
Other values (45) 166
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
62.8%
Space Separator 62
 
17.8%
Decimal Number 37
 
10.6%
Close Punctuation 12
 
3.4%
Open Punctuation 12
 
3.4%
Other Punctuation 7
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
 
6.8%
서 14
 
6.4%
중 14
 
6.4%
랑 14
 
6.4%
울 13
 
5.9%
로 12
 
5.5%
특 12
 
5.5%
구 12
 
5.5%
시 12
 
5.5%
별 12
 
5.5%
Other values (33) 89
40.6%
Decimal Number
ValueCountFrequency (%)
3 15
40.5%
5 5
 
13.5%
1 4
 
10.8%
2 4
 
10.8%
6 3
 
8.1%
8 3
 
8.1%
7 2
 
5.4%
0 1
 
2.7%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
62.8%
Common 130
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
 
6.8%
서 14
 
6.4%
중 14
 
6.4%
랑 14
 
6.4%
울 13
 
5.9%
로 12
 
5.5%
특 12
 
5.5%
구 12
 
5.5%
시 12
 
5.5%
별 12
 
5.5%
Other values (33) 89
40.6%
Common
ValueCountFrequency (%)
62
47.7%
3 15
 
11.5%
) 12
 
9.2%
( 12
 
9.2%
, 7
 
5.4%
5 5
 
3.8%
1 4
 
3.1%
2 4
 
3.1%
6 3
 
2.3%
8 3
 
2.3%
Other values (2) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
62.8%
ASCII 130
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
47.7%
3 15
 
11.5%
) 12
 
9.2%
( 12
 
9.2%
, 7
 
5.4%
5 5
 
3.8%
1 4
 
3.1%
2 4
 
3.1%
6 3
 
2.3%
8 3
 
2.3%
Other values (2) 3
 
2.3%
Hangul
ValueCountFrequency (%)
동 15
 
6.8%
서 14
 
6.4%
중 14
 
6.4%
랑 14
 
6.4%
울 13
 
5.9%
로 12
 
5.5%
특 12
 
5.5%
구 12
 
5.5%
시 12
 
5.5%
별 12
 
5.5%
Other values (33) 89
40.6%

도로명우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
26 
2087
3 
2045
 
1
2122
 
1
2053
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique4 ?
Unique (%)12.1%

Sample

1st row2045
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
78.8%
2087 3
 
9.1%
2045 1
 
3.0%
2122 1
 
3.0%
2053 1
 
3.0%
2024 1
 
3.0%

Length

2024-05-11T15:05:31.102062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:31.265675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
78.8%
2087 3
 
9.1%
2045 1
 
3.0%
2122 1
 
3.0%
2053 1
 
3.0%
2024 1
 
3.0%

사업장명
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T15:05:31.540164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length17
Mean length11.212121
Min length4

Characters and Unicode

Total characters370
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)81.8%

Sample

1st row한국전력(동대문중랑지사0
2nd row동국기획(주)
3rd row홈플러스(주)면목점
4th row(주)이랜드리테일 홈에버면목점
5th row홈플러스(주) 면목점
ValueCountFrequency (%)
상봉프레미어스엠코 3
 
6.0%
홈플러스(주)면목점 2
 
4.0%
입주자 2
 
4.0%
서울특별시 2
 
4.0%
서울의료원 2
 
4.0%
대응가스 2
 
4.0%
삼보상공(주 2
 
4.0%
주)서령가스산업 1
 
2.0%
케이티 1
 
2.0%
신내전화국 1
 
2.0%
Other values (32) 32
64.0%
2024-05-11T15:05:32.042089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 22
 
5.9%
주 22
 
5.9%
) 21
 
5.7%
스 20
 
5.4%
19
 
5.1%
- 15
 
4.1%
코 11
 
3.0%
서 8
 
2.2%
시 8
 
2.2%
가 7
 
1.9%
Other values (102) 217
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
74.6%
Open Punctuation 22
 
5.9%
Close Punctuation 21
 
5.7%
Space Separator 19
 
5.1%
Dash Punctuation 15
 
4.1%
Uppercase Letter 9
 
2.4%
Decimal Number 7
 
1.9%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
8.0%
스 20
 
7.2%
코 11
 
4.0%
서 8
 
2.9%
시 8
 
2.9%
가 7
 
2.5%
상 7
 
2.5%
대 5
 
1.8%
점 5
 
1.8%
면 5
 
1.8%
Other values (88) 178
64.5%
Decimal Number
ValueCountFrequency (%)
7 3
42.9%
2 1
 
14.3%
3 1
 
14.3%
0 1
 
14.3%
1 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
44.4%
F 3
33.3%
C 1
 
11.1%
A 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
74.9%
Common 84
 
22.7%
Latin 9
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
7.9%
스 20
 
7.2%
코 11
 
4.0%
서 8
 
2.9%
시 8
 
2.9%
가 7
 
2.5%
상 7
 
2.5%
대 5
 
1.8%
점 5
 
1.8%
면 5
 
1.8%
Other values (89) 179
64.6%
Common
ValueCountFrequency (%)
( 22
26.2%
) 21
25.0%
19
22.6%
- 15
17.9%
7 3
 
3.6%
2 1
 
1.2%
3 1
 
1.2%
0 1
 
1.2%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
B 4
44.4%
F 3
33.3%
C 1
 
11.1%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
74.6%
ASCII 93
 
25.1%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 22
23.7%
) 21
22.6%
19
20.4%
- 15
16.1%
B 4
 
4.3%
7 3
 
3.2%
F 3
 
3.2%
2 1
 
1.1%
C 1
 
1.1%
3 1
 
1.1%
Other values (3) 3
 
3.2%
Hangul
ValueCountFrequency (%)
주 22
 
8.0%
스 20
 
7.2%
코 11
 
4.0%
서 8
 
2.9%
시 8
 
2.9%
가 7
 
2.5%
상 7
 
2.5%
대 5
 
1.8%
점 5
 
1.8%
면 5
 
1.8%
Other values (88) 178
64.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2001-03-15 00:00:00
Maximum2024-05-07 11:37:07
2024-05-11T15:05:32.237212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:32.453929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
18 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
54.5%
U 15
45.5%

Length

2024-05-11T15:05:32.659341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:32.776633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
54.5%
u 15
45.5%

데이터갱신일자
Categorical

Distinct16
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2018-08-31 23:59:59.0
16 
2023-12-05 00:09:00.0
2 
2021-10-31 00:01:00.0
2 
2020-11-01 00:23:09.0
 
1
2022-11-01 00:01:00.0
 
1
Other values (11)
11 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique13 ?
Unique (%)39.4%

Sample

1st row2020-11-01 00:23:09.0
2nd row2022-11-01 00:01:00.0
3rd row2023-12-05 00:09:00.0
4th row2018-08-31 23:59:59.0
5th row2023-12-05 00:09:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 16
48.5%
2023-12-05 00:09:00.0 2
 
6.1%
2021-10-31 00:01:00.0 2
 
6.1%
2020-11-01 00:23:09.0 1
 
3.0%
2022-11-01 00:01:00.0 1
 
3.0%
2023-12-03 00:07:00.0 1
 
3.0%
2021-11-01 00:04:00.0 1
 
3.0%
2022-12-04 00:01:00.0 1
 
3.0%
2021-09-17 02:40:00.0 1
 
3.0%
2021-10-31 22:03:00.0 1
 
3.0%
Other values (6) 6
 
18.2%

Length

2024-05-11T15:05:32.920799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 16
24.2%
23:59:59.0 16
24.2%
00:01:00.0 4
 
6.1%
2021-10-31 3
 
4.5%
2023-12-05 2
 
3.0%
00:09:00.0 2
 
3.0%
02:40:00.0 2
 
3.0%
2023-12-03 2
 
3.0%
2023-12-02 1
 
1.5%
23:03:00.0 1
 
1.5%
Other values (17) 17
25.8%

업태구분명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
제조
22 
저장소
7 
판매
4 

Length

Max length3
Median length2
Mean length2.2121212
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 22
66.7%
저장소 7
 
21.2%
판매 4
 
12.1%

Length

2024-05-11T15:05:33.129134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:33.358068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 22
66.7%
저장소 7
 
21.2%
판매 4
 
12.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)72.4%
Missing4
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean207716.95
Minimum206282
Maximum209306.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:05:33.465845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206282
5-th percentile206740.96
Q1207089.22
median207897.26
Q3208237.56
95-th percentile209033.7
Maximum209306.71
Range3024.7143
Interquartile range (IQR)1148.3405

Descriptive statistics

Standard deviation759.38904
Coefficient of variation (CV)0.0036558839
Kurtosis-0.41753838
Mean207716.95
Median Absolute Deviation (MAD)628.28409
Skewness0.27353419
Sum6023791.5
Variance576671.71
MonotonicityNot monotonic
2024-05-11T15:05:33.590953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
207923.745922676 3
 
9.1%
206984.469639903 2
 
6.1%
207426.559555506 2
 
6.1%
206740.95977172 2
 
6.1%
207089.21659098 2
 
6.1%
207897.260402153 2
 
6.1%
207090.86716546 2
 
6.1%
209284.110679628 1
 
3.0%
208317.41837409 1
 
3.0%
208183.558935157 1
 
3.0%
Other values (11) 11
33.3%
(Missing) 4
 
12.1%
ValueCountFrequency (%)
206281.995703937 1
3.0%
206740.95977172 2
6.1%
206920.386966762 1
3.0%
206984.469639903 2
6.1%
207089.21659098 2
6.1%
207090.86716546 2
6.1%
207268.976310318 1
3.0%
207426.559555506 2
6.1%
207814.938074916 1
3.0%
207897.260402153 2
6.1%
ValueCountFrequency (%)
209306.71 1
3.0%
209284.110679628 1
3.0%
208658.077732594 1
3.0%
208580.409647184 1
3.0%
208400.589110415 1
3.0%
208317.41837409 1
3.0%
208249.393923721 1
3.0%
208237.557095484 1
3.0%
208183.558935157 1
3.0%
208057.437370858 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)72.4%
Missing4
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean454702.74
Minimum452328.4
Maximum457139.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:05:33.734192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452328.4
5-th percentile452626.22
Q1453938.54
median454894.34
Q3455090.72
95-th percentile456890.91
Maximum457139.63
Range4811.2309
Interquartile range (IQR)1152.1758

Descriptive statistics

Standard deviation1280.5125
Coefficient of variation (CV)0.002816153
Kurtosis-0.29805976
Mean454702.74
Median Absolute Deviation (MAD)376.7669
Skewness-0.032043351
Sum13186379
Variance1639712.2
MonotonicityNot monotonic
2024-05-11T15:05:33.872361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
455090.718335439 3
 
9.1%
454569.786080141 2
 
6.1%
452328.401897025 2
 
6.1%
454517.575326381 2
 
6.1%
453074.476763597 2
 
6.1%
454953.363448013 2
 
6.1%
453072.936040777 2
 
6.1%
456088.739414306 1
 
3.0%
456989.553329739 1
 
3.0%
454911.24852306 1
 
3.0%
Other values (11) 11
33.3%
(Missing) 4
 
12.1%
ValueCountFrequency (%)
452328.401897025 2
6.1%
453072.936040777 2
6.1%
453074.476763597 2
6.1%
453685.972334144 1
3.0%
453938.542522605 1
3.0%
454517.575326381 2
6.1%
454539.22247287 1
3.0%
454569.786080141 2
6.1%
454845.243765481 1
3.0%
454894.342222824 1
3.0%
ValueCountFrequency (%)
457139.63281 1
 
3.0%
456989.553329739 1
 
3.0%
456742.947541604 1
 
3.0%
456152.342000001 1
 
3.0%
456126.878859227 1
 
3.0%
456088.739414306 1
 
3.0%
455124.633124068 1
 
3.0%
455090.718335439 3
9.1%
454953.363448013 2
6.1%
454911.24852306 1
 
3.0%

제조구분명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
16 
냉동
6 
일반
6 
충전
5 

Length

Max length4
Median length2
Mean length2.969697
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
48.5%
냉동 6
 
18.2%
일반 6
 
18.2%
충전 5
 
15.2%

Length

2024-05-11T15:05:33.999027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:34.119330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
48.5%
냉동 6
 
18.2%
일반 6
 
18.2%
충전 5
 
15.2%

사업장부지용도구분명
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing15
Missing (%)45.5%
Memory size396.0 B
2024-05-11T15:05:34.253081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4444444
Min length2

Characters and Unicode

Total characters80
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)22.2%

Sample

1st row업무용
2nd row상업기타
3rd row상업.업무용
4th row상업.업무용
5th row지정되지않음
ValueCountFrequency (%)
지정되지않음 4
22.2%
상업기타 3
16.7%
상업.업무용 3
16.7%
업무용 2
11.1%
주차장등 2
11.1%
주거기타 1
 
5.6%
주상기타 1
 
5.6%
임야 1
 
5.6%
기타 1
 
5.6%
2024-05-11T15:05:34.559389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 11
13.8%
지 8
 
10.0%
상 7
 
8.8%
기 6
 
7.5%
타 6
 
7.5%
무 5
 
6.2%
용 5
 
6.2%
주 4
 
5.0%
되 4
 
5.0%
않 4
 
5.0%
Other values (9) 20
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
96.2%
Other Punctuation 3
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 11
14.3%
지 8
10.4%
상 7
9.1%
기 6
 
7.8%
타 6
 
7.8%
무 5
 
6.5%
용 5
 
6.5%
주 4
 
5.2%
되 4
 
5.2%
않 4
 
5.2%
Other values (8) 17
22.1%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
96.2%
Common 3
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 11
14.3%
지 8
10.4%
상 7
9.1%
기 6
 
7.8%
타 6
 
7.8%
무 5
 
6.5%
용 5
 
6.5%
주 4
 
5.2%
되 4
 
5.2%
않 4
 
5.2%
Other values (8) 17
22.1%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
96.2%
ASCII 3
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 11
14.3%
지 8
10.4%
상 7
9.1%
기 6
 
7.8%
타 6
 
7.8%
무 5
 
6.5%
용 5
 
6.5%
주 4
 
5.2%
되 4
 
5.2%
않 4
 
5.2%
Other values (8) 17
22.1%
ASCII
ValueCountFrequency (%)
. 3
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
03060000199030601190220000119900226<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 181-4 한국전력 동대문중랑지사서울특별시 중랑구 동일로 862, 한국전력 동대문중랑지사 (묵동)2045한국전력(동대문중랑지사02020-10-30 11:03:44I2020-11-01 00:23:09.0제조206920.386967456126.878859냉동업무용
1306000019933060119021000011993-10-21<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 490-3 동국빌딩<NA><NA>동국기획(주)2023-10-30 10:25:31U2022-11-01 00:01:00.0제조208400.58911455124.633124<NA><NA>
2306000019993060075022000022009-12-31<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 168-2서울특별시 중랑구 사가정로 332 (면목동)<NA>홈플러스(주)면목점2024-05-07 11:37:07U2023-12-05 00:09:00.0제조207090.867165453072.936041<NA><NA>
33060000199930600750220000319990823<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 168-2<NA><NA>(주)이랜드리테일 홈에버면목점2013-06-12 18:11:46I2018-08-31 23:59:59.0제조207089.216591453074.476764일반상업기타
4306000019993060095022000031999-08-23<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 168-2서울특별시 중랑구 사가정로 332 (면목동)<NA>홈플러스(주) 면목점2024-05-07 11:36:43U2023-12-05 00:09:00.0제조207090.867165453072.936041<NA><NA>
53060000200130600750210000120010315<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 81<NA><NA>(주)코스트코 코리아 상봉점2001-03-15 00:00:00I2018-08-31 23:59:59.0제조207897.260402454953.363448냉동상업.업무용
63060000200130600750210000220010816<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 572<NA><NA>(주)우림시장2003-11-18 00:00:00I2018-08-31 23:59:59.0제조208658.077733454894.79022냉동상업.업무용
7306000020013060075022000012001-05-09<NA>3폐업3폐업2024-03-05<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 83-1<NA><NA>(주)신아주2024-03-05 13:55:30U2023-12-03 00:07:00.0제조208057.437371454845.243765<NA><NA>
83060000200230600750217503119790920<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 90-57<NA><NA>신우가스2013-01-22 13:36:52I2018-08-31 23:59:59.0판매207814.938075454539.222473일반지정되지않음
93060000200230600750217800119780303<NA>1영업/정상1영업중<NA><NA><NA>20140617<NA><NA><NA>서울특별시 중랑구 상봉동 128-11<NA><NA>(주)사이넥스2014-12-02 19:33:19I2018-08-31 23:59:59.0판매206984.46964454569.78608일반지정되지않음
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
233060000201030600950210000119990505<NA>3폐업3폐업20130807<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 641<NA><NA>케이티 신내전화국2013-08-07 10:10:28I2018-08-31 23:59:59.0제조208249.393924457139.63281냉동업무용
24306000020103060095021000022010-04-22<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 316 서울의료원서울특별시 중랑구 신내로 156, 서울의료원 (신내동)2053서울특별시 서울의료원2023-08-14 17:34:52U2022-12-07 23:07:00.0제조208580.409647456742.947542<NA><NA>
25306000020103060095021000032010-06-22<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 506-1서울특별시 중랑구 상봉로 118 (망우동)<NA>(주) 이마트2024-04-11 13:01:03U2023-12-03 23:03:00.0제조208183.558935454911.248523<NA><NA>
263060000201030600950210000420100721<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 371-6<NA><NA>서울특별시 서울의료원2012-06-29 12:39:36I2018-08-31 23:59:59.0저장소<NA><NA><NA>기타
273060000201130600950210000120110217<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 500 상봉 프레미어스 엠코서울특별시 중랑구 망우로 353 (상봉동, 상봉 프레미어스 엠코)2087상봉프레미어스엠코 입주자 대표회의(B7F-1)----A시설2022-09-29 11:01:09U2021-10-31 00:01:00.0저장소207923.745923455090.718335<NA><NA>
283060000201130600950210000220110217<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 500 상봉 프레미어스 엠코서울특별시 중랑구 망우로 353, 7층 (상봉동, 상봉 프레미어스 엠코)2087상봉프레미어스엠코 입주자 대표회의 (B7F-2)----B시설2022-09-29 11:01:26U2021-10-31 00:01:00.0저장소207923.745923455090.718335<NA><NA>
293060000201130600950210000320110217<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 500 상봉 프레미어스 엠코서울특별시 중랑구 망우로 353 (상봉동, 상봉 프레미어스 엠코)2087상봉프레미어스엠코 비주거동관리단 (B7F-3)----C시설2021-05-12 09:59:23U2021-05-14 02:40:00.0저장소207923.745923455090.718335<NA>상업기타
30306000020143060095021000012014-11-26<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우로 336 (망우동)<NA>(주)코스트코코리아2024-03-22 17:21:12U2023-12-02 22:04:00.0제조207897.260402454953.363448<NA><NA>
313060000201730601450220000120171212<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 644-2 중랑소방서서울특별시 중랑구 신내로 183, 중랑소방서 (신내동)2024중랑소방서2022-10-24 17:28:46U2021-10-30 22:06:00.0제조208317.418374456989.55333<NA><NA>
323060000202330601190220001020230111<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 335-3<NA><NA>㈜시티건설2023-01-12 15:18:46I2022-11-30 23:04:00.0제조<NA><NA><NA><NA>