Overview

Dataset statistics

Number of variables29
Number of observations87
Missing cells922
Missing cells (%)36.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.0 KiB
Average record size in memory247.5 B

Variable types

Categorical7
Text6
DateTime5
Unsupported7
Numeric4

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),비상시설위치,시설구분명,시설명_건물명,해제일자
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20043/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
폐업일자 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
영업상태코드 is highly imbalanced (90.9%)Imbalance
영업상태명 is highly imbalanced (90.9%)Imbalance
상세영업상태코드 is highly imbalanced (90.9%)Imbalance
상세영업상태명 is highly imbalanced (90.9%)Imbalance
인허가취소일자 has 86 (98.9%) missing valuesMissing
폐업일자 has 86 (98.9%) missing valuesMissing
휴업시작일자 has 87 (100.0%) missing valuesMissing
휴업종료일자 has 87 (100.0%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
전화번호 has 87 (100.0%) missing valuesMissing
소재지우편번호 has 87 (100.0%) missing valuesMissing
도로명우편번호 has 5 (5.7%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
비상시설위치 has 68 (78.2%) missing valuesMissing
시설명_건물명 has 68 (78.2%) missing valuesMissing
해제일자 has 87 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
좌표정보(X) has unique valuesUnique
좌표정보(Y) has unique valuesUnique
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
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:56:12.611791
Analysis finished2024-05-11 00:56:13.712051
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
3160000
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 87
100.0%

Length

2024-05-11T00:56:13.978597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:14.411412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 87
100.0%

관리번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T00:56:14.932153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1566
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row3160000-S202200004
2nd row3160000-S201700001
3rd row3160000-S202000003
4th row3160000-S202200007
5th row3160000-S202200006
ValueCountFrequency (%)
3160000-s202200004 1
 
1.1%
3160000-s200900004 1
 
1.1%
3160000-s200800004 1
 
1.1%
3160000-s201800001 1
 
1.1%
3160000-s199800009 1
 
1.1%
3160000-s200500005 1
 
1.1%
3160000-s199500007 1
 
1.1%
3160000-s202300001 1
 
1.1%
3160000-s201200001 1
 
1.1%
3160000-s201200005 1
 
1.1%
Other values (77) 77
88.5%
2024-05-11T00:56:16.137237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 767
49.0%
1 157
 
10.0%
3 111
 
7.1%
6 101
 
6.4%
2 100
 
6.4%
- 87
 
5.6%
S 87
 
5.6%
9 68
 
4.3%
5 26
 
1.7%
8 24
 
1.5%
Other values (2) 38
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
88.9%
Dash Punctuation 87
 
5.6%
Uppercase Letter 87
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 767
55.1%
1 157
 
11.3%
3 111
 
8.0%
6 101
 
7.3%
2 100
 
7.2%
9 68
 
4.9%
5 26
 
1.9%
8 24
 
1.7%
4 21
 
1.5%
7 17
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1479
94.4%
Latin 87
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 767
51.9%
1 157
 
10.6%
3 111
 
7.5%
6 101
 
6.8%
2 100
 
6.8%
- 87
 
5.9%
9 68
 
4.6%
5 26
 
1.8%
8 24
 
1.6%
4 21
 
1.4%
Latin
ValueCountFrequency (%)
S 87
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1566
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 767
49.0%
1 157
 
10.0%
3 111
 
7.1%
6 101
 
6.4%
2 100
 
6.4%
- 87
 
5.6%
S 87
 
5.6%
9 68
 
4.3%
5 26
 
1.7%
8 24
 
1.5%
Other values (2) 38
 
2.4%

인허가일자
Date

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum1983-12-01 00:00:00
Maximum2023-08-28 00:00:00
2024-05-11T00:56:16.691487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:17.292954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing86
Missing (%)98.9%
Memory size828.0 B
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2024-05-11T00:56:17.928144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:18.465046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
86 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 86
98.9%
4 1
 
1.1%

Length

2024-05-11T00:56:18.959475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:19.355601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
98.9%
4 1
 
1.1%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
86 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5.1034483
Min length5

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 86
98.9%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-05-11T00:56:19.807262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:20.200934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 86
98.9%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
18
86 
19
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 86
98.9%
19 1
 
1.1%

Length

2024-05-11T00:56:20.609387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:20.967382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 86
98.9%
19 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
사용중
86 
사용중지
 
1

Length

Max length4
Median length3
Mean length3.0114943
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 86
98.9%
사용중지 1
 
1.1%

Length

2024-05-11T00:56:21.503699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:22.047878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 86
98.9%
사용중지 1
 
1.1%

폐업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing86
Missing (%)98.9%
Memory size828.0 B
Minimum2023-12-13 00:00:00
Maximum2023-12-13 00:00:00
2024-05-11T00:56:22.335865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:22.855964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지면적
Real number (ℝ)

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17273.696
Minimum331
Maximum279901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T00:56:23.354300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331
5-th percentile520.441
Q12114.5
median6445
Q317852.5
95-th percentile47868.374
Maximum279901
Range279570
Interquartile range (IQR)15738

Descriptive statistics

Standard deviation36662.815
Coefficient of variation (CV)2.122465
Kurtosis33.384295
Mean17273.696
Median Absolute Deviation (MAD)5480
Skewness5.3037213
Sum1502811.5
Variance1.344162 × 109
MonotonicityNot monotonic
2024-05-11T00:56:23.966652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3960.0 2
 
2.3%
890.47 1
 
1.1%
19601.0 1
 
1.1%
2014.0 1
 
1.1%
8677.0 1
 
1.1%
1410.65 1
 
1.1%
36975.0 1
 
1.1%
86826.0 1
 
1.1%
1400.0 1
 
1.1%
12904.14 1
 
1.1%
Other values (76) 76
87.4%
ValueCountFrequency (%)
331.0 1
1.1%
427.79 1
1.1%
449.0 1
1.1%
477.0 1
1.1%
496.0 1
1.1%
577.47 1
1.1%
628.0 1
1.1%
689.0 1
1.1%
690.0 1
1.1%
890.47 1
1.1%
ValueCountFrequency (%)
279901.0 1
1.1%
165290.0 1
1.1%
86826.0 1
1.1%
86115.0 1
1.1%
48052.82 1
1.1%
47438.0 1
1.1%
39980.0 1
1.1%
36975.0 1
1.1%
36784.0 1
1.1%
35847.98 1
1.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지번주소
Text

Distinct82
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T00:56:24.873483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length22.16092
Min length17

Characters and Unicode

Total characters1928
Distinct characters91
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

Unique81 ?
Unique (%)93.1%

Sample

1st row서울특별시 구로구 가리봉동 118-11
2nd row서울특별시 구로구 가리봉동 137번지 14호
3rd row서울특별시 구로구 항동 171번지 4호 하버라인 3단지
4th row서울특별시 구로구 고척동 327 고척동 동아한신아파트
5th row서울특별시 구로구 고척동 350 고척아이파크
ValueCountFrequency (%)
서울특별시 87
21.0%
구로구 87
21.0%
구로동 23
 
5.5%
개봉동 14
 
3.4%
고척동 11
 
2.7%
오류동 11
 
2.7%
항동 10
 
2.4%
천왕동 8
 
1.9%
1호 6
 
1.4%
하버라인 6
 
1.4%
Other values (128) 152
36.6%
2024-05-11T00:56:26.382453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
17.0%
구 198
 
10.3%
로 112
 
5.8%
동 90
 
4.7%
서 87
 
4.5%
울 87
 
4.5%
특 87
 
4.5%
별 87
 
4.5%
시 87
 
4.5%
지 86
 
4.5%
Other values (81) 679
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1289
66.9%
Space Separator 328
 
17.0%
Decimal Number 305
 
15.8%
Dash Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 198
15.4%
로 112
 
8.7%
동 90
 
7.0%
서 87
 
6.7%
울 87
 
6.7%
특 87
 
6.7%
별 87
 
6.7%
시 87
 
6.7%
지 86
 
6.7%
번 74
 
5.7%
Other values (67) 294
22.8%
Decimal Number
ValueCountFrequency (%)
1 61
20.0%
3 40
13.1%
4 37
12.1%
2 35
11.5%
7 29
9.5%
0 22
 
7.2%
6 22
 
7.2%
8 22
 
7.2%
5 21
 
6.9%
9 16
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1289
66.9%
Common 637
33.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 198
15.4%
로 112
 
8.7%
동 90
 
7.0%
서 87
 
6.7%
울 87
 
6.7%
특 87
 
6.7%
별 87
 
6.7%
시 87
 
6.7%
지 86
 
6.7%
번 74
 
5.7%
Other values (67) 294
22.8%
Common
ValueCountFrequency (%)
328
51.5%
1 61
 
9.6%
3 40
 
6.3%
4 37
 
5.8%
2 35
 
5.5%
7 29
 
4.6%
0 22
 
3.5%
6 22
 
3.5%
8 22
 
3.5%
5 21
 
3.3%
Other values (2) 20
 
3.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1289
66.9%
ASCII 639
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
51.3%
1 61
 
9.5%
3 40
 
6.3%
4 37
 
5.8%
2 35
 
5.5%
7 29
 
4.5%
0 22
 
3.4%
6 22
 
3.4%
8 22
 
3.4%
5 21
 
3.3%
Other values (4) 22
 
3.4%
Hangul
ValueCountFrequency (%)
구 198
15.4%
로 112
 
8.7%
동 90
 
7.0%
서 87
 
6.7%
울 87
 
6.7%
특 87
 
6.7%
별 87
 
6.7%
시 87
 
6.7%
지 86
 
6.7%
번 74
 
5.7%
Other values (67) 294
22.8%

도로명주소
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T00:56:27.194951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length32.885057
Min length23

Characters and Unicode

Total characters2861
Distinct characters170
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

Unique87 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 우마2길 35, 가리봉주민센터 (가리봉동)
2nd row서울특별시 구로구 남부순환로107길 24 (가리봉동)
3rd row서울특별시 구로구 항동로 43 (항동, 하버라인 3단지)
4th row서울특별시 구로구 중앙로6길 17(고척동, 고척동 동아한신아파트)
5th row서울특별시 구로구 중앙로5길 59 (고척동, 고척아이파크)
ValueCountFrequency (%)
서울특별시 87
 
16.6%
구로구 87
 
16.6%
구로동 23
 
4.4%
개봉동 13
 
2.5%
오류동 11
 
2.1%
항동 10
 
1.9%
경인로 10
 
1.9%
고척동 10
 
1.9%
천왕동 7
 
1.3%
하버라인 6
 
1.1%
Other values (213) 261
49.7%
2024-05-11T00:56:28.600464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
438
 
15.3%
구 215
 
7.5%
로 213
 
7.4%
동 110
 
3.8%
서 93
 
3.3%
울 89
 
3.1%
시 89
 
3.1%
( 87
 
3.0%
별 87
 
3.0%
) 87
 
3.0%
Other values (160) 1353
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1829
63.9%
Space Separator 438
 
15.3%
Decimal Number 312
 
10.9%
Open Punctuation 87
 
3.0%
Close Punctuation 87
 
3.0%
Other Punctuation 83
 
2.9%
Dash Punctuation 21
 
0.7%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 215
 
11.8%
로 213
 
11.6%
동 110
 
6.0%
서 93
 
5.1%
울 89
 
4.9%
시 89
 
4.9%
별 87
 
4.8%
특 87
 
4.8%
아 34
 
1.9%
트 33
 
1.8%
Other values (142) 779
42.6%
Decimal Number
ValueCountFrequency (%)
1 64
20.5%
2 51
16.3%
3 30
9.6%
5 28
9.0%
8 26
8.3%
4 25
 
8.0%
0 24
 
7.7%
6 23
 
7.4%
7 22
 
7.1%
9 19
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1829
63.9%
Common 1030
36.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 215
 
11.8%
로 213
 
11.6%
동 110
 
6.0%
서 93
 
5.1%
울 89
 
4.9%
시 89
 
4.9%
별 87
 
4.8%
특 87
 
4.8%
아 34
 
1.9%
트 33
 
1.8%
Other values (142) 779
42.6%
Common
ValueCountFrequency (%)
438
42.5%
( 87
 
8.4%
) 87
 
8.4%
, 83
 
8.1%
1 64
 
6.2%
2 51
 
5.0%
3 30
 
2.9%
5 28
 
2.7%
8 26
 
2.5%
4 25
 
2.4%
Other values (6) 111
 
10.8%
Latin
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1829
63.9%
ASCII 1032
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
438
42.4%
( 87
 
8.4%
) 87
 
8.4%
, 83
 
8.0%
1 64
 
6.2%
2 51
 
4.9%
3 30
 
2.9%
5 28
 
2.7%
8 26
 
2.5%
4 25
 
2.4%
Other values (8) 113
 
10.9%
Hangul
ValueCountFrequency (%)
구 215
 
11.8%
로 213
 
11.6%
동 110
 
6.0%
서 93
 
5.1%
울 89
 
4.9%
시 89
 
4.9%
별 87
 
4.8%
특 87
 
4.8%
아 34
 
1.9%
트 33
 
1.8%
Other values (142) 779
42.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)70.7%
Missing5
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean8305.8293
Minimum8207
Maximum8395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T00:56:29.363116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8207
5-th percentile8219.2
Q18267.5
median8302
Q38357.75
95-th percentile8368
Maximum8395
Range188
Interquartile range (IQR)90.25

Descriptive statistics

Standard deviation53.514923
Coefficient of variation (CV)0.006443056
Kurtosis-1.1819998
Mean8305.8293
Median Absolute Deviation (MAD)52.5
Skewness-0.18173686
Sum681078
Variance2863.847
MonotonicityNot monotonic
2024-05-11T00:56:30.002405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8368 8
 
9.2%
8302 5
 
5.7%
8364 3
 
3.4%
8365 3
 
3.4%
8342 2
 
2.3%
8248 2
 
2.3%
8355 2
 
2.3%
8311 2
 
2.3%
8227 2
 
2.3%
8270 2
 
2.3%
Other values (48) 51
58.6%
(Missing) 5
 
5.7%
ValueCountFrequency (%)
8207 1
1.1%
8211 1
1.1%
8217 1
1.1%
8218 1
1.1%
8219 1
1.1%
8223 1
1.1%
8225 1
1.1%
8226 1
1.1%
8227 2
2.3%
8228 1
1.1%
ValueCountFrequency (%)
8395 1
 
1.1%
8394 1
 
1.1%
8388 1
 
1.1%
8383 1
 
1.1%
8368 8
9.2%
8365 3
 
3.4%
8364 3
 
3.4%
8362 1
 
1.1%
8360 1
 
1.1%
8358 1
 
1.1%

사업장명
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T00:56:30.726079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length18.54023
Min length12

Characters and Unicode

Total characters1613
Distinct characters178
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row가리봉동주민센터 지하1층 주차장, 지하2층 주차장
2nd row정성요양병원 본관(지하1층주차장)
3rd row하버라인3단지 지하1~2층 주차장
4th row고척동아한신아파트(지하1층 주차장)
5th row고척아이파크아파트RD(모든 동 지하1~2층 주차장)
ValueCountFrequency (%)
주차장 39
 
18.5%
지하1층 19
 
9.0%
지하1~2층 9
 
4.3%
지하주차장(지하1층 7
 
3.3%
지하 6
 
2.8%
1층 5
 
2.4%
지하주차장(지하1~2층 3
 
1.4%
지하1층~2층 2
 
0.9%
가리봉동주민센터 1
 
0.5%
천왕이펜하우스4단지아파트 1
 
0.5%
Other values (119) 119
56.4%
2024-05-11T00:56:32.124710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
8.2%
지 122
 
7.6%
하 119
 
7.4%
1 90
 
5.6%
층 86
 
5.3%
차 84
 
5.2%
주 81
 
5.0%
장 79
 
4.9%
아 51
 
3.2%
트 51
 
3.2%
Other values (168) 718
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1179
73.1%
Decimal Number 162
 
10.0%
Space Separator 132
 
8.2%
Open Punctuation 44
 
2.7%
Close Punctuation 44
 
2.7%
Math Symbol 43
 
2.7%
Other Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 122
 
10.3%
하 119
 
10.1%
층 86
 
7.3%
차 84
 
7.1%
주 81
 
6.9%
장 79
 
6.7%
아 51
 
4.3%
트 51
 
4.3%
파 47
 
4.0%
단 15
 
1.3%
Other values (148) 444
37.7%
Decimal Number
ValueCountFrequency (%)
1 90
55.6%
2 39
24.1%
3 15
 
9.3%
4 6
 
3.7%
5 4
 
2.5%
0 3
 
1.9%
9 2
 
1.2%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
R 1
25.0%
C 1
25.0%
N 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
? 1
 
20.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1179
73.1%
Common 430
 
26.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 122
 
10.3%
하 119
 
10.1%
층 86
 
7.3%
차 84
 
7.1%
주 81
 
6.9%
장 79
 
6.7%
아 51
 
4.3%
트 51
 
4.3%
파 47
 
4.0%
단 15
 
1.3%
Other values (148) 444
37.7%
Common
ValueCountFrequency (%)
132
30.7%
1 90
20.9%
( 44
 
10.2%
) 44
 
10.2%
~ 43
 
10.0%
2 39
 
9.1%
3 15
 
3.5%
4 6
 
1.4%
, 4
 
0.9%
5 4
 
0.9%
Other values (6) 9
 
2.1%
Latin
ValueCountFrequency (%)
D 1
25.0%
R 1
25.0%
C 1
25.0%
N 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1179
73.1%
ASCII 434
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
30.4%
1 90
20.7%
( 44
 
10.1%
) 44
 
10.1%
~ 43
 
9.9%
2 39
 
9.0%
3 15
 
3.5%
4 6
 
1.4%
, 4
 
0.9%
5 4
 
0.9%
Other values (10) 13
 
3.0%
Hangul
ValueCountFrequency (%)
지 122
 
10.3%
하 119
 
10.1%
층 86
 
7.3%
차 84
 
7.1%
주 81
 
6.9%
장 79
 
6.7%
아 51
 
4.3%
트 51
 
4.3%
파 47
 
4.0%
단 15
 
1.3%
Other values (148) 444
37.7%

최종수정일자
Date

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2023-04-05 15:42:20
Maximum2024-02-02 09:49:09
2024-05-11T00:56:32.769753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:33.323159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
U
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 87
100.0%

Length

2024-05-11T00:56:33.819856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:34.311859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 87
100.0%

데이터갱신일자
Date

Distinct29
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2022-10-30 22:02:00
Maximum2023-12-02 00:04:00
2024-05-11T00:56:34.732733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:56:35.276568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187400.51
Minimum183790.88
Maximum190607.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T00:56:35.914991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183790.88
5-th percentile184340.64
Q1185736.96
median187043.96
Q3189782.75
95-th percentile190376.57
Maximum190607.83
Range6816.9553
Interquartile range (IQR)4045.7923

Descriptive statistics

Standard deviation2140.1495
Coefficient of variation (CV)0.01142019
Kurtosis-1.3970006
Mean187400.51
Median Absolute Deviation (MAD)1806.3598
Skewness0.14503781
Sum16303844
Variance4580239.8
MonotonicityNot monotonic
2024-05-11T00:56:36.792863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190173.233223645 1
 
1.1%
190607.831669399 1
 
1.1%
184664.090902265 1
 
1.1%
190163.724552507 1
 
1.1%
189386.731786322 1
 
1.1%
187151.14950035 1
 
1.1%
189372.1910653 1
 
1.1%
186109.905171543 1
 
1.1%
190447.424985193 1
 
1.1%
185534.846375858 1
 
1.1%
Other values (77) 77
88.5%
ValueCountFrequency (%)
183790.876362552 1
1.1%
184209.520493604 1
1.1%
184215.046527558 1
1.1%
184218.802753196 1
1.1%
184320.728034189 1
1.1%
184387.109783644 1
1.1%
184507.816734841 1
1.1%
184527.712242127 1
1.1%
184544.625577034 1
1.1%
184556.999876158 1
1.1%
ValueCountFrequency (%)
190607.831669399 1
1.1%
190541.558271971 1
1.1%
190447.424985193 1
1.1%
190394.394227379 1
1.1%
190376.656575975 1
1.1%
190376.367823375 1
1.1%
190344.577144322 1
1.1%
190332.28938918 1
1.1%
190313.450586287 1
1.1%
190302.580042588 1
1.1%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443443.14
Minimum441427.7
Maximum445265.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T00:56:37.344739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441427.7
5-th percentile441897.96
Q1442588.52
median443666.07
Q3444198.01
95-th percentile444817.1
Maximum445265.19
Range3837.4954
Interquartile range (IQR)1609.4822

Descriptive statistics

Standard deviation975.01024
Coefficient of variation (CV)0.0021987266
Kurtosis-1.0080456
Mean443443.14
Median Absolute Deviation (MAD)667.84829
Skewness-0.25226119
Sum38579553
Variance950644.98
MonotonicityNot monotonic
2024-05-11T00:56:38.100436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442268.895999777 1
 
1.1%
441932.291734949 1
 
1.1%
443642.084113544 1
 
1.1%
443865.923656986 1
 
1.1%
442771.689441066 1
 
1.1%
444544.592000758 1
 
1.1%
444854.451693268 1
 
1.1%
444708.509671314 1
 
1.1%
442071.447779897 1
 
1.1%
442654.035347235 1
 
1.1%
Other values (77) 77
88.5%
ValueCountFrequency (%)
441427.696554117 1
1.1%
441760.015114394 1
1.1%
441773.484823975 1
1.1%
441811.482181569 1
1.1%
441883.239599718 1
1.1%
441932.291734949 1
1.1%
441937.41788015 1
1.1%
442003.988499818 1
1.1%
442007.69346986 1
1.1%
442031.486398701 1
1.1%
ValueCountFrequency (%)
445265.191940304 1
1.1%
445174.416440663 1
1.1%
445053.217165752 1
1.1%
444978.682746138 1
1.1%
444854.451693268 1
1.1%
444729.961384482 1
1.1%
444708.509671314 1
1.1%
444702.11782251 1
1.1%
444626.10525858 1
1.1%
444611.727272015 1
1.1%

비상시설위치
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing68
Missing (%)78.2%
Memory size828.0 B
2024-05-11T00:56:38.857902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length25.473684
Min length18

Characters and Unicode

Total characters484
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

Unique19 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 구로동 108번지 2호
2nd row서울특별시 구로구 구로동 100번지 8호
3rd row서울특별시 구로구 구로동 1261번지
4th row서울특별시 구로구 구로동 43번지 4호
5th row서울특별시 구로구 구로동 49번지
ValueCountFrequency (%)
서울특별시 19
18.1%
구로구 19
18.1%
구로동 8
 
7.6%
항동 8
 
7.6%
하버라인 5
 
4.8%
11단지 1
 
1.0%
하버라인8단지 1
 
1.0%
136번지 1
 
1.0%
1호 1
 
1.0%
9단지 1
 
1.0%
Other values (41) 41
39.0%
2024-05-11T00:56:40.021779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
17.8%
구 46
 
9.5%
로 28
 
5.8%
지 22
 
4.5%
울 19
 
3.9%
동 19
 
3.9%
서 19
 
3.9%
시 19
 
3.9%
특 19
 
3.9%
별 19
 
3.9%
Other values (54) 188
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
66.7%
Space Separator 86
 
17.8%
Decimal Number 74
 
15.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 46
14.2%
로 28
 
8.7%
지 22
 
6.8%
울 19
 
5.9%
동 19
 
5.9%
서 19
 
5.9%
시 19
 
5.9%
특 19
 
5.9%
별 19
 
5.9%
번 15
 
4.6%
Other values (42) 98
30.3%
Decimal Number
ValueCountFrequency (%)
1 18
24.3%
2 10
13.5%
4 10
13.5%
6 7
 
9.5%
8 7
 
9.5%
9 6
 
8.1%
3 5
 
6.8%
5 5
 
6.8%
0 4
 
5.4%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
66.7%
Common 161
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 46
14.2%
로 28
 
8.7%
지 22
 
6.8%
울 19
 
5.9%
동 19
 
5.9%
서 19
 
5.9%
시 19
 
5.9%
특 19
 
5.9%
별 19
 
5.9%
번 15
 
4.6%
Other values (42) 98
30.3%
Common
ValueCountFrequency (%)
86
53.4%
1 18
 
11.2%
2 10
 
6.2%
4 10
 
6.2%
6 7
 
4.3%
8 7
 
4.3%
9 6
 
3.7%
3 5
 
3.1%
5 5
 
3.1%
0 4
 
2.5%
Other values (2) 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
66.7%
ASCII 161
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
53.4%
1 18
 
11.2%
2 10
 
6.2%
4 10
 
6.2%
6 7
 
4.3%
8 7
 
4.3%
9 6
 
3.7%
3 5
 
3.1%
5 5
 
3.1%
0 4
 
2.5%
Other values (2) 3
 
1.9%
Hangul
ValueCountFrequency (%)
구 46
14.2%
로 28
 
8.7%
지 22
 
6.8%
울 19
 
5.9%
동 19
 
5.9%
서 19
 
5.9%
시 19
 
5.9%
특 19
 
5.9%
별 19
 
5.9%
번 15
 
4.6%
Other values (42) 98
30.3%

시설구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
68 
공공용시설
19 

Length

Max length5
Median length4
Mean length4.2183908
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
78.2%
공공용시설 19
 
21.8%

Length

2024-05-11T00:56:40.508842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:40.986562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
78.2%
공공용시설 19
 
21.8%

시설명_건물명
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing68
Missing (%)78.2%
Memory size828.0 B
2024-05-11T00:56:41.482489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.578947
Min length13

Characters and Unicode

Total characters353
Distinct characters69
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

Unique19 ?
Unique (%)100.0%

Sample

1st row새솔금호아파트 지하1~3주차장
2nd row신안타워 지하2~4주차장
3rd row일신건영아파트 지하1,2주차장
4th row다솜금호아파트 주차장(지하1~3층)
5th row구로동금호아파트 지하1~4주차장
ValueCountFrequency (%)
주차장 11
21.2%
지하1~2층 7
 
13.5%
지하 3
 
5.8%
한양수자인아파트 1
 
1.9%
하버라인8단지 1
 
1.9%
하버라인9단지 1
 
1.9%
하버라인10단지 1
 
1.9%
하버라인11단지 1
 
1.9%
테크노마트 1
 
1.9%
새솔금호아파트 1
 
1.9%
Other values (24) 24
46.2%
2024-05-11T00:56:42.862684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
11.3%
지 26
 
7.4%
하 25
 
7.1%
1 23
 
6.5%
차 20
 
5.7%
주 19
 
5.4%
장 18
 
5.1%
층 17
 
4.8%
~ 16
 
4.5%
2 15
 
4.2%
Other values (59) 134
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
67.7%
Decimal Number 49
 
13.9%
Space Separator 40
 
11.3%
Math Symbol 16
 
4.5%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%
Other Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 26
 
10.9%
하 25
 
10.5%
차 20
 
8.4%
주 19
 
7.9%
장 18
 
7.5%
층 17
 
7.1%
트 11
 
4.6%
파 8
 
3.3%
아 8
 
3.3%
라 7
 
2.9%
Other values (45) 80
33.5%
Decimal Number
ValueCountFrequency (%)
1 23
46.9%
2 15
30.6%
3 4
 
8.2%
4 3
 
6.1%
7 1
 
2.0%
0 1
 
2.0%
9 1
 
2.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 239
67.7%
Common 114
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 26
 
10.9%
하 25
 
10.5%
차 20
 
8.4%
주 19
 
7.9%
장 18
 
7.5%
층 17
 
7.1%
트 11
 
4.6%
파 8
 
3.3%
아 8
 
3.3%
라 7
 
2.9%
Other values (45) 80
33.5%
Common
ValueCountFrequency (%)
40
35.1%
1 23
20.2%
~ 16
 
14.0%
2 15
 
13.2%
3 4
 
3.5%
) 3
 
2.6%
4 3
 
2.6%
( 3
 
2.6%
, 2
 
1.8%
7 1
 
0.9%
Other values (4) 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
67.7%
ASCII 114
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
35.1%
1 23
20.2%
~ 16
 
14.0%
2 15
 
13.2%
3 4
 
3.5%
) 3
 
2.6%
4 3
 
2.6%
( 3
 
2.6%
, 2
 
1.8%
7 1
 
0.9%
Other values (4) 4
 
3.5%
Hangul
ValueCountFrequency (%)
지 26
 
10.9%
하 25
 
10.5%
차 20
 
8.4%
주 19
 
7.9%
장 18
 
7.5%
층 17
 
7.1%
트 11
 
4.6%
파 8
 
3.3%
아 8
 
3.3%
라 7
 
2.9%
Other values (45) 80
33.5%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031600003160000-S2022000042022-12-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>890.47<NA>서울특별시 구로구 가리봉동 118-11서울특별시 구로구 우마2길 35, 가리봉주민센터 (가리봉동)8383가리봉동주민센터 지하1층 주차장, 지하2층 주차장2024-02-02 09:45:24U2023-12-02 00:04:00.0<NA>190173.233224442268.896<NA><NA><NA><NA>
131600003160000-S2017000012017-02-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>427.79<NA>서울특별시 구로구 가리봉동 137번지 14호서울특별시 구로구 남부순환로107길 24 (가리봉동)8395정성요양병원 본관(지하1층주차장)2024-02-02 09:49:09U2023-12-02 00:04:00.0<NA>190607.831669441932.291735<NA><NA><NA><NA>
231600003160000-S2020000032020-02-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>48052.82<NA>서울특별시 구로구 항동 171번지 4호 하버라인 3단지서울특별시 구로구 항동로 43 (항동, 하버라인 3단지)8368하버라인3단지 지하1~2층 주차장2023-07-19 09:36:21U2022-12-06 22:01:00.0<NA>184387.109784441883.2396<NA><NA><NA><NA>
331600003160000-S2022000072022-12-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7068.0<NA>서울특별시 구로구 고척동 327 고척동 동아한신아파트서울특별시 구로구 중앙로6길 17(고척동, 고척동 동아한신아파트)8223고척동아한신아파트(지하1층 주차장)2024-01-23 16:31:43U2023-11-30 22:05:00.0<NA>188004.468886444309.020913<NA><NA><NA><NA>
431600003160000-S2022000062022-12-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>26825.0<NA>서울특별시 구로구 고척동 350 고척아이파크서울특별시 구로구 중앙로5길 59 (고척동, 고척아이파크)8225고척아이파크아파트RD(모든 동 지하1~2층 주차장)2024-01-23 16:31:25U2023-11-30 22:05:00.0<NA>187496.661585444277.066463<NA><NA><NA><NA>
531600003160000-S2014000022014-04-16<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>22833.0<NA>서울특별시 구로구 고척동 336번지서울특별시 구로구 경인로 343 (고척동, 삼환로즈빌)8226삼환로즈빌아파트(지하1~2층주차장)2024-01-23 16:31:09U2023-11-30 22:05:00.0<NA>187377.105858443971.553989<NA><NA><NA><NA>
631600003160000-S1996000011996-05-24<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7239.0<NA>서울특별시 구로구 구로동 108번지 2호서울특별시 구로구 공원로 35 (구로동, 새솔금호아파트)8298새솔금호아파트 지하1~3주차장2023-06-12 16:35:59U2023-06-14 02:40:00.0<NA>190231.220123444204.047033서울특별시 구로구 구로동 108번지 2호공공용시설새솔금호아파트 지하1~3주차장<NA>
731600003160000-S1998000061998-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3713.0<NA>서울특별시 구로구 구로동 100번지 8호서울특별시 구로구 구로중앙로 68 (구로동, 신안타워)8301신안타워 지하2~4주차장2023-05-03 16:02:57U2023-05-05 02:40:00.0<NA>190099.217395443743.183198서울특별시 구로구 구로동 100번지 8호공공용시설신안타워 지하2~4주차장<NA>
831600003160000-S2005000142005-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3960.0<NA>서울특별시 구로구 구로동 1261번지서울특별시 구로구 새말로9길 22 (구로동, 일신건영아파트)8291일신건영아파트 지하1,2주차장2023-05-03 16:04:08U2023-05-05 02:40:00.0<NA>189827.939373444611.727272서울특별시 구로구 구로동 1261번지공공용시설일신건영아파트 지하1,2주차장<NA>
931600003160000-S2016000022016-10-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6018.0<NA>서울특별시 구로구 구로동 139번지 82호서울특별시 구로구 구로중앙로 13 (구로동, 구로리공원)8312구로리어린이공원 지하주차장(지하1~3층)2024-01-26 10:26:18U2023-11-30 22:08:00.0<NA>190344.577144443192.727137<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
7731600003160000-S2005000372005-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9686.0<NA>서울특별시 구로구 오류동 339번지서울특별시 구로구 경인로 248-13 (오류동, 동부아파트)8270동부아파트 지하1층 주차장2023-10-24 11:07:57U2022-10-30 22:06:00.0<NA>186553.191644443884.872627<NA><NA><NA><NA>
7831600003160000-S2005000412005-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>12893.0<NA>서울특별시 구로구 오류동 341번지서울특별시 구로구 고척로 52 (오류동, 한신플러스타운)8269한신플러스타운 지하1층 주차장2023-10-24 11:08:51U2022-10-30 22:06:00.0<NA>185872.179201444031.699524<NA><NA><NA><NA>
7931600003160000-S2005000402005-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2215.0<NA>서울특별시 구로구 오류동 336번지서울특별시 구로구 경인로 248-14 (오류동, 동부아파트)8270동부덕고개아파트 지하1층 주차장2023-10-24 11:08:34U2022-10-30 22:06:00.0<NA>186478.470141443877.208748<NA><NA><NA><NA>
8031600003160000-S1997000201997-05-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2268.0<NA>서울특별시 구로구 오류동 338번지서울특별시 구로구 고척로 49 (오류동, 동부골든아파트)8253동부골든아파트 지하1층 주차장2023-10-24 11:07:38U2022-10-30 22:06:00.0<NA>185740.522727444132.478466<NA><NA><NA><NA>
8131600003160000-S1991000051991-05-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>449.0<NA>서울특별시 구로구 궁동 110번지 1호서울특별시 구로구 오리로21길 2 (궁동, 오류고등학교,예림디자인고등학교)8248예림디자인고등학교 지하 1층 교내식당2023-11-03 10:06:14U2022-11-01 00:05:00.0<NA>184749.71702444189.717713<NA><NA><NA><NA>
8231600003160000-S1994000081994-05-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4067.0<NA>서울특별시 구로구 개봉동 47번지 1호서울특별시 구로구 고척로21나길 85-6 (개봉동)8250건영아파트(지하주차장1~2층)2024-01-31 17:31:23U2023-12-02 00:02:00.0<NA>185850.179808444355.413029<NA><NA><NA><NA>
8331600003160000-S1984000011984-12-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>12925.0<NA>서울특별시 구로구 신도림동 460번지 26호서울특별시 구로구 새말로 지하 117-21 (신도림동, 2호선신도림역)8288신도림지하철역(2호선 지하1층~2층)2023-12-28 15:17:00U2022-11-01 21:00:00.0<NA>190302.580043445174.416441<NA><NA><NA><NA>
8431600003160000-S2005000432005-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>14962.0<NA>서울특별시 구로구 오류동 343번지서울특별시 구로구 오리로 1197 (오류동, 금강수목원아파트)8358금강수목원아파트 지하1층 주차장2024-01-22 11:34:29U2023-11-30 22:04:00.0<NA>185106.095729442911.359555<NA><NA><NA><NA>
8531600003160000-S2005000442005-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>25179.0<NA>서울특별시 구로구 오류동 342번지서울특별시 구로구 경인로8길 64 (오류동, 영풍마드레빌아파트)8357영풍마드레빌아파트 지하1층 주차장2024-01-22 11:42:05U2023-11-30 22:04:00.0<NA>185660.257931443272.13807<NA><NA><NA><NA>
8631600003160000-S1998000111998-05-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>16104.0<NA>서울특별시 구로구 오류동 340번지서울특별시 구로구 경인로8길 75 (오류동, 삼천리아파트)8357삼천리아파트 지하1층 주차장2024-01-22 11:34:49U2023-11-30 22:04:00.0<NA>185722.781635443385.214187<NA><NA><NA><NA>