Overview

Dataset statistics

Number of variables29
Number of observations81
Missing cells861
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory247.6 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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-20049/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
시설구분명 is highly imbalanced (76.1%)Imbalance
인허가취소일자 has 71 (87.7%) missing valuesMissing
폐업일자 has 71 (87.7%) missing valuesMissing
휴업시작일자 has 81 (100.0%) missing valuesMissing
휴업종료일자 has 81 (100.0%) missing valuesMissing
재개업일자 has 81 (100.0%) missing valuesMissing
전화번호 has 81 (100.0%) missing valuesMissing
소재지우편번호 has 81 (100.0%) missing valuesMissing
업태구분명 has 81 (100.0%) missing valuesMissing
비상시설위치 has 76 (93.8%) missing valuesMissing
시설명_건물명 has 76 (93.8%) missing valuesMissing
해제일자 has 81 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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 started2024-04-06 10:19:00.674982
Analysis finished2024-04-06 10:19:01.741119
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
3220000
81 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 81
100.0%

Length

2024-04-06T19:19:01.891403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:02.090040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 81
100.0%

관리번호
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T19:19:02.404528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1458
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

Unique81 ?
Unique (%)100.0%

Sample

1st row3220000-S201700004
2nd row3220000-S200500035
3rd row3220000-S200800005
4th row3220000-S201700012
5th row3220000-S200700006
ValueCountFrequency (%)
3220000-s201700004 1
 
1.2%
3220000-s199600001 1
 
1.2%
3220000-s200600003 1
 
1.2%
3220000-s201000002 1
 
1.2%
3220000-s200000001 1
 
1.2%
3220000-s200900001 1
 
1.2%
3220000-s200000009 1
 
1.2%
3220000-s200500028 1
 
1.2%
3220000-s200500029 1
 
1.2%
3220000-s199300004 1
 
1.2%
Other values (71) 71
87.7%
2024-04-06T19:19:02.988702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 741
50.8%
2 241
 
16.5%
3 101
 
6.9%
- 81
 
5.6%
S 81
 
5.6%
1 66
 
4.5%
9 43
 
2.9%
5 33
 
2.3%
7 23
 
1.6%
8 19
 
1.3%
Other values (2) 29
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1296
88.9%
Dash Punctuation 81
 
5.6%
Uppercase Letter 81
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 741
57.2%
2 241
 
18.6%
3 101
 
7.8%
1 66
 
5.1%
9 43
 
3.3%
5 33
 
2.5%
7 23
 
1.8%
8 19
 
1.5%
6 19
 
1.5%
4 10
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1377
94.4%
Latin 81
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 741
53.8%
2 241
 
17.5%
3 101
 
7.3%
- 81
 
5.9%
1 66
 
4.8%
9 43
 
3.1%
5 33
 
2.4%
7 23
 
1.7%
8 19
 
1.4%
6 19
 
1.4%
Latin
ValueCountFrequency (%)
S 81
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 741
50.8%
2 241
 
16.5%
3 101
 
6.9%
- 81
 
5.6%
S 81
 
5.6%
1 66
 
4.5%
9 43
 
2.9%
5 33
 
2.3%
7 23
 
1.6%
8 19
 
1.3%
Other values (2) 29
 
2.0%

인허가일자
Date

Distinct46
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum1975-12-26 00:00:00
Maximum2023-06-30 00:00:00
2024-04-06T19:19:03.256486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:03.550801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Date

MISSING 

Distinct7
Distinct (%)70.0%
Missing71
Missing (%)87.7%
Memory size780.0 B
Minimum2023-10-24 00:00:00
Maximum2024-01-24 00:00:00
2024-04-06T19:19:03.762245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:03.950686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
1
71 
4
10 

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 71
87.7%
4 10
 
12.3%

Length

2024-04-06T19:19:04.191578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:04.349261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
87.7%
4 10
 
12.3%

영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
영업/정상
71 
취소/말소/만료/정지/중지
10 

Length

Max length14
Median length5
Mean length6.1111111
Min length5

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 71
87.7%
취소/말소/만료/정지/중지 10
 
12.3%

Length

2024-04-06T19:19:04.532349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:04.711748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 71
87.7%
취소/말소/만료/정지/중지 10
 
12.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
18
71 
19
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 71
87.7%
19 10
 
12.3%

Length

2024-04-06T19:19:04.978858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:05.186080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 71
87.7%
19 10
 
12.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
사용중
71 
사용중지
10 

Length

Max length4
Median length3
Mean length3.1234568
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 71
87.7%
사용중지 10
 
12.3%

Length

2024-04-06T19:19:05.360846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:05.601933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 71
87.7%
사용중지 10
 
12.3%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)70.0%
Missing71
Missing (%)87.7%
Memory size780.0 B
Minimum2023-10-24 00:00:00
Maximum2024-01-24 00:00:00
2024-04-06T19:19:05.764705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:05.989155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

소재지면적
Real number (ℝ)

Distinct78
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6497.4799
Minimum126
Maximum61656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T19:19:06.227740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile263
Q11294
median3897
Q37933
95-th percentile22532
Maximum61656
Range61530
Interquartile range (IQR)6639

Descriptive statistics

Standard deviation9491.2356
Coefficient of variation (CV)1.4607564
Kurtosis16.167304
Mean6497.4799
Median Absolute Deviation (MAD)2967
Skewness3.6338052
Sum526295.87
Variance90083554
MonotonicityNot monotonic
2024-04-06T19:19:06.460062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3897.0 2
 
2.5%
8138.0 2
 
2.5%
200.0 2
 
2.5%
4787.0 1
 
1.2%
1214.0 1
 
1.2%
570.18 1
 
1.2%
9293.0 1
 
1.2%
3729.0 1
 
1.2%
5997.0 1
 
1.2%
498.0 1
 
1.2%
Other values (68) 68
84.0%
ValueCountFrequency (%)
126.0 1
1.2%
178.0 1
1.2%
200.0 2
2.5%
263.0 1
1.2%
445.81 1
1.2%
495.0 1
1.2%
498.0 1
1.2%
570.18 1
1.2%
594.0 1
1.2%
666.0 1
1.2%
ValueCountFrequency (%)
61656.0 1
1.2%
40804.0 1
1.2%
34060.0 1
1.2%
29365.0 1
1.2%
22532.0 1
1.2%
17340.0 1
1.2%
15595.0 1
1.2%
12203.0 1
1.2%
12002.0 1
1.2%
11954.88 1
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

지번주소
Text

Distinct77
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T19:19:06.928863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length21.62963
Min length18

Characters and Unicode

Total characters1752
Distinct characters86
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

Unique74 ?
Unique (%)91.4%

Sample

1st row서울특별시 강남구 도곡동 967번지
2nd row서울특별시 강남구 도곡동 164번지 6호
3rd row서울특별시 강남구 신사동 635번지 14호
4th row서울특별시 강남구 논현동 279번지 165호
5th row서울특별시 강남구 개포동 195번지
ValueCountFrequency (%)
강남구 82
21.7%
서울특별시 81
21.4%
대치동 18
 
4.8%
역삼동 17
 
4.5%
개포동 13
 
3.4%
논현동 9
 
2.4%
3호 7
 
1.9%
신사동 6
 
1.6%
4호 6
 
1.6%
압구정동 4
 
1.1%
Other values (111) 135
35.7%
2024-04-06T19:19:07.643754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
17.0%
구 87
 
5.0%
서 85
 
4.9%
강 84
 
4.8%
남 84
 
4.8%
특 81
 
4.6%
별 81
 
4.6%
시 81
 
4.6%
울 81
 
4.6%
동 81
 
4.6%
Other values (76) 710
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1156
66.0%
Decimal Number 298
 
17.0%
Space Separator 297
 
17.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 87
 
7.5%
서 85
 
7.4%
강 84
 
7.3%
남 84
 
7.3%
특 81
 
7.0%
별 81
 
7.0%
시 81
 
7.0%
울 81
 
7.0%
동 81
 
7.0%
지 75
 
6.5%
Other values (64) 336
29.1%
Decimal Number
ValueCountFrequency (%)
1 45
15.1%
6 44
14.8%
7 37
12.4%
4 33
11.1%
2 29
9.7%
3 24
8.1%
9 24
8.1%
5 23
7.7%
8 23
7.7%
0 16
 
5.4%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1156
66.0%
Common 596
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 87
 
7.5%
서 85
 
7.4%
강 84
 
7.3%
남 84
 
7.3%
특 81
 
7.0%
별 81
 
7.0%
시 81
 
7.0%
울 81
 
7.0%
동 81
 
7.0%
지 75
 
6.5%
Other values (64) 336
29.1%
Common
ValueCountFrequency (%)
297
49.8%
1 45
 
7.6%
6 44
 
7.4%
7 37
 
6.2%
4 33
 
5.5%
2 29
 
4.9%
3 24
 
4.0%
9 24
 
4.0%
5 23
 
3.9%
8 23
 
3.9%
Other values (2) 17
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1156
66.0%
ASCII 596
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
49.8%
1 45
 
7.6%
6 44
 
7.4%
7 37
 
6.2%
4 33
 
5.5%
2 29
 
4.9%
3 24
 
4.0%
9 24
 
4.0%
5 23
 
3.9%
8 23
 
3.9%
Other values (2) 17
 
2.9%
Hangul
ValueCountFrequency (%)
구 87
 
7.5%
서 85
 
7.4%
강 84
 
7.3%
남 84
 
7.3%
특 81
 
7.0%
별 81
 
7.0%
시 81
 
7.0%
울 81
 
7.0%
동 81
 
7.0%
지 75
 
6.5%
Other values (64) 336
29.1%

도로명주소
Text

Distinct78
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T19:19:08.033064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length32.617284
Min length22

Characters and Unicode

Total characters2642
Distinct characters172
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

Unique76 ?
Unique (%)93.8%

Sample

1st row서울특별시 강남구 논현로 209 (도곡동, 경남아파트)
2nd row서울특별시 강남구 남부순환로381길 15 (도곡동, 포스코트아파트)
3rd row서울특별시 강남구 압구정로42길 36 (신사동, 금광아크존1)
4th row서울특별시 강남구 봉은사로 지하 201 (논현동, 언주역)
5th row서울특별시 강남구 개포로 지하 420 (개포동, 개포동역)
ValueCountFrequency (%)
강남구 82
 
16.4%
서울특별시 81
 
16.2%
대치동 18
 
3.6%
역삼동 16
 
3.2%
개포동 13
 
2.6%
지하 12
 
2.4%
테헤란로 9
 
1.8%
논현동 9
 
1.8%
언주로 8
 
1.6%
신사동 6
 
1.2%
Other values (189) 247
49.3%
2024-04-06T19:19:08.659741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
 
15.9%
동 102
 
3.9%
남 101
 
3.8%
구 99
 
3.7%
강 94
 
3.6%
서 85
 
3.2%
로 83
 
3.1%
울 82
 
3.1%
) 81
 
3.1%
특 81
 
3.1%
Other values (162) 1414
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1702
64.4%
Space Separator 420
 
15.9%
Decimal Number 280
 
10.6%
Close Punctuation 81
 
3.1%
Open Punctuation 81
 
3.1%
Other Punctuation 78
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 102
 
6.0%
남 101
 
5.9%
구 99
 
5.8%
강 94
 
5.5%
서 85
 
5.0%
로 83
 
4.9%
울 82
 
4.8%
특 81
 
4.8%
별 81
 
4.8%
시 81
 
4.8%
Other values (148) 813
47.8%
Decimal Number
ValueCountFrequency (%)
2 54
19.3%
1 50
17.9%
3 41
14.6%
0 30
10.7%
4 26
9.3%
5 22
7.9%
7 20
 
7.1%
6 15
 
5.4%
9 12
 
4.3%
8 10
 
3.6%
Space Separator
ValueCountFrequency (%)
420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1702
64.4%
Common 940
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 102
 
6.0%
남 101
 
5.9%
구 99
 
5.8%
강 94
 
5.5%
서 85
 
5.0%
로 83
 
4.9%
울 82
 
4.8%
특 81
 
4.8%
별 81
 
4.8%
시 81
 
4.8%
Other values (148) 813
47.8%
Common
ValueCountFrequency (%)
420
44.7%
) 81
 
8.6%
( 81
 
8.6%
, 78
 
8.3%
2 54
 
5.7%
1 50
 
5.3%
3 41
 
4.4%
0 30
 
3.2%
4 26
 
2.8%
5 22
 
2.3%
Other values (4) 57
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1702
64.4%
ASCII 940
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
44.7%
) 81
 
8.6%
( 81
 
8.6%
, 78
 
8.3%
2 54
 
5.7%
1 50
 
5.3%
3 41
 
4.4%
0 30
 
3.2%
4 26
 
2.8%
5 22
 
2.3%
Other values (4) 57
 
6.1%
Hangul
ValueCountFrequency (%)
동 102
 
6.0%
남 101
 
5.9%
구 99
 
5.8%
강 94
 
5.5%
서 85
 
5.0%
로 83
 
4.9%
울 82
 
4.8%
특 81
 
4.8%
별 81
 
4.8%
시 81
 
4.8%
Other values (148) 813
47.8%

도로명우편번호
Real number (ℝ)

Distinct66
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6213.2963
Minimum6008
Maximum6375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T19:19:08.917026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6008
5-th percentile6017
Q16112
median6234
Q36305
95-th percentile6370
Maximum6375
Range367
Interquartile range (IQR)193

Descriptive statistics

Standard deviation113.66139
Coefficient of variation (CV)0.018293251
Kurtosis-1.0489479
Mean6213.2963
Median Absolute Deviation (MAD)79
Skewness-0.47203677
Sum503277
Variance12918.911
MonotonicityNot monotonic
2024-04-06T19:19:09.151908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6305 4
 
4.9%
6291 3
 
3.7%
6211 2
 
2.5%
6088 2
 
2.5%
6283 2
 
2.5%
6352 2
 
2.5%
6280 2
 
2.5%
6285 2
 
2.5%
6110 2
 
2.5%
6374 2
 
2.5%
Other values (56) 58
71.6%
ValueCountFrequency (%)
6008 1
1.2%
6009 2
2.5%
6014 1
1.2%
6017 1
1.2%
6019 1
1.2%
6020 1
1.2%
6021 1
1.2%
6022 1
1.2%
6038 1
1.2%
6050 1
1.2%
ValueCountFrequency (%)
6375 1
1.2%
6374 2
2.5%
6370 2
2.5%
6362 1
1.2%
6352 2
2.5%
6348 1
1.2%
6335 1
1.2%
6331 1
1.2%
6328 1
1.2%
6324 1
1.2%

사업장명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-04-06T19:19:09.552215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length14.617284
Min length3

Characters and Unicode

Total characters1184
Distinct characters167
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

Unique81 ?
Unique (%)100.0%

Sample

1st row경남아파트 (지하1층~지하3층)
2nd row포스코트아파트 (지하1층~지하2층)
3rd row금광아크존 지하 1~2층
4th row언주역 지하1층
5th row개포동역(지하1층)
ValueCountFrequency (%)
지하1층 18
 
9.7%
지하주차장 13
 
7.0%
지하 10
 
5.4%
1층 9
 
4.8%
지하1~2층 5
 
2.7%
지하1~3층 4
 
2.2%
지하2층 3
 
1.6%
동 3
 
1.6%
현대2차아파트 3
 
1.6%
모든 3
 
1.6%
Other values (110) 115
61.8%
2024-04-06T19:19:10.143804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
8.9%
하 91
 
7.7%
지 90
 
7.6%
층 87
 
7.3%
1 62
 
5.2%
2 46
 
3.9%
~ 33
 
2.8%
( 32
 
2.7%
) 32
 
2.7%
아 27
 
2.3%
Other values (157) 579
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 810
68.4%
Decimal Number 155
 
13.1%
Space Separator 105
 
8.9%
Math Symbol 33
 
2.8%
Open Punctuation 32
 
2.7%
Close Punctuation 32
 
2.7%
Other Punctuation 15
 
1.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 91
 
11.2%
지 90
 
11.1%
층 87
 
10.7%
아 27
 
3.3%
차 24
 
3.0%
트 22
 
2.7%
파 19
 
2.3%
역 19
 
2.3%
주 18
 
2.2%
빌 17
 
2.1%
Other values (141) 396
48.9%
Decimal Number
ValueCountFrequency (%)
1 62
40.0%
2 46
29.7%
3 22
 
14.2%
4 14
 
9.0%
5 4
 
2.6%
0 3
 
1.9%
8 2
 
1.3%
6 1
 
0.6%
7 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
Y 1
50.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 810
68.4%
Common 372
31.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 91
 
11.2%
지 90
 
11.1%
층 87
 
10.7%
아 27
 
3.3%
차 24
 
3.0%
트 22
 
2.7%
파 19
 
2.3%
역 19
 
2.3%
주 18
 
2.2%
빌 17
 
2.1%
Other values (141) 396
48.9%
Common
ValueCountFrequency (%)
105
28.2%
1 62
16.7%
2 46
12.4%
~ 33
 
8.9%
( 32
 
8.6%
) 32
 
8.6%
3 22
 
5.9%
, 15
 
4.0%
4 14
 
3.8%
5 4
 
1.1%
Other values (4) 7
 
1.9%
Latin
ValueCountFrequency (%)
K 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 810
68.4%
ASCII 374
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
28.1%
1 62
16.6%
2 46
12.3%
~ 33
 
8.8%
( 32
 
8.6%
) 32
 
8.6%
3 22
 
5.9%
, 15
 
4.0%
4 14
 
3.7%
5 4
 
1.1%
Other values (6) 9
 
2.4%
Hangul
ValueCountFrequency (%)
하 91
 
11.2%
지 90
 
11.1%
층 87
 
10.7%
아 27
 
3.3%
차 24
 
3.0%
트 22
 
2.7%
파 19
 
2.3%
역 19
 
2.3%
주 18
 
2.2%
빌 17
 
2.1%
Other values (141) 396
48.9%

최종수정일자
Date

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2019-06-11 13:44:20
Maximum2024-03-19 19:42:28
2024-04-06T19:19:10.384962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:10.632335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
U
81 

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 81
100.0%

Length

2024-04-06T19:19:10.835753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:11.006710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 81
100.0%

데이터갱신일자
Date

Distinct26
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2019-06-13 02:40:00
Maximum2023-12-03 00:08:00
2024-04-06T19:19:11.157941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:11.345394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

좌표정보(X)
Real number (ℝ)

Distinct76
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204667.46
Minimum201588
Maximum209897.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T19:19:11.578249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201588
5-th percentile202432.77
Q1203319.73
median204200.27
Q3205665.38
95-th percentile208466.17
Maximum209897.81
Range8309.8051
Interquartile range (IQR)2345.6543

Descriptive statistics

Standard deviation1856.8095
Coefficient of variation (CV)0.0090723238
Kurtosis0.51676877
Mean204667.46
Median Absolute Deviation (MAD)1241.348
Skewness0.96187878
Sum16578064
Variance3447741.4
MonotonicityNot monotonic
2024-04-06T19:19:11.840960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204463.385159734 3
 
3.7%
205524.402807769 3
 
3.7%
202739.437721334 2
 
2.5%
209897.807021555 1
 
1.2%
209090.360365095 1
 
1.2%
204322.029055562 1
 
1.2%
201588.001969935 1
 
1.2%
203744.372341385 1
 
1.2%
206228.074633143 1
 
1.2%
206162.886036791 1
 
1.2%
Other values (66) 66
81.5%
ValueCountFrequency (%)
201588.001969935 1
1.2%
201866.129322499 1
1.2%
202220.14 1
1.2%
202422.251739571 1
1.2%
202432.769130873 1
1.2%
202722.53183055 1
1.2%
202725.962072631 1
1.2%
202739.437721334 2
2.5%
202870.574915069 1
1.2%
202882.728038934 1
1.2%
ValueCountFrequency (%)
209897.807021555 1
1.2%
209646.114645275 1
1.2%
209090.360365095 1
1.2%
208636.679822655 1
1.2%
208466.172179419 1
1.2%
208339.241253805 1
1.2%
208154.566102274 1
1.2%
207967.553156798 1
1.2%
207775.531550148 1
1.2%
206618.425209149 1
1.2%

좌표정보(Y)
Real number (ℝ)

Distinct76
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444131.12
Minimum440515.7
Maximum447467.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-04-06T19:19:12.046577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440515.7
5-th percentile441415.34
Q1443035.06
median444096.33
Q3445116.28
95-th percentile447146.56
Maximum447467.04
Range6951.3409
Interquartile range (IQR)2081.2224

Descriptive statistics

Standard deviation1725.14
Coefficient of variation (CV)0.0038843032
Kurtosis-0.59357137
Mean444131.12
Median Absolute Deviation (MAD)1061.2746
Skewness0.092333856
Sum35974621
Variance2976107.9
MonotonicityNot monotonic
2024-04-06T19:19:12.305954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442255.239058195 3
 
3.7%
443593.223871307 3
 
3.7%
445786.44928266 2
 
2.5%
441522.984512949 1
 
1.2%
443035.057750063 1
 
1.2%
446314.495636826 1
 
1.2%
446382.381669803 1
 
1.2%
444548.690712365 1
 
1.2%
443988.386409621 1
 
1.2%
444142.553648748 1
 
1.2%
Other values (66) 66
81.5%
ValueCountFrequency (%)
440515.70109382 1
1.2%
440958.4731598 1
1.2%
441014.810920055 1
1.2%
441135.63 1
1.2%
441415.34300787 1
1.2%
441491.962568552 1
1.2%
441522.984512949 1
1.2%
441557.179656218 1
1.2%
441662.643228175 1
1.2%
442105.285337805 1
1.2%
ValueCountFrequency (%)
447467.041964593 1
1.2%
447369.579851952 1
1.2%
447316.222786487 1
1.2%
447263.406195041 1
1.2%
447146.555568337 1
1.2%
446838.222266454 1
1.2%
446837.876165246 1
1.2%
446812.164665029 1
1.2%
446735.298655882 1
1.2%
446382.381669803 1
1.2%

비상시설위치
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing76
Missing (%)93.8%
Memory size780.0 B
2024-04-06T19:19:12.583189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21
Min length19

Characters and Unicode

Total characters105
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row서울특별시 강남구 대치동 317번지 3호
2nd row서울특별시 강남구 수서동 712번지
3rd row서울특별시 강남구 논현동 279번지 67호
4th row서울특별시 강남구 신사동 667번지
5th row서울특별시 강남구 대치동 317번지 3호
ValueCountFrequency (%)
서울특별시 5
21.7%
강남구 5
21.7%
대치동 2
 
8.7%
317번지 2
 
8.7%
3호 2
 
8.7%
수서동 1
 
4.3%
712번지 1
 
4.3%
논현동 1
 
4.3%
279번지 1
 
4.3%
67호 1
 
4.3%
Other values (2) 2
 
8.7%
2024-04-06T19:19:13.121177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
17.1%
서 6
 
5.7%
7 6
 
5.7%
지 5
 
4.8%
특 5
 
4.8%
별 5
 
4.8%
시 5
 
4.8%
강 5
 
4.8%
남 5
 
4.8%
구 5
 
4.8%
Other values (16) 40
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
64.8%
Decimal Number 19
 
18.1%
Space Separator 18
 
17.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 6
 
8.8%
지 5
 
7.4%
특 5
 
7.4%
별 5
 
7.4%
시 5
 
7.4%
강 5
 
7.4%
남 5
 
7.4%
구 5
 
7.4%
동 5
 
7.4%
울 5
 
7.4%
Other values (9) 17
25.0%
Decimal Number
ValueCountFrequency (%)
7 6
31.6%
3 4
21.1%
6 3
15.8%
1 3
15.8%
2 2
 
10.5%
9 1
 
5.3%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
64.8%
Common 37
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 6
 
8.8%
지 5
 
7.4%
특 5
 
7.4%
별 5
 
7.4%
시 5
 
7.4%
강 5
 
7.4%
남 5
 
7.4%
구 5
 
7.4%
동 5
 
7.4%
울 5
 
7.4%
Other values (9) 17
25.0%
Common
ValueCountFrequency (%)
18
48.6%
7 6
 
16.2%
3 4
 
10.8%
6 3
 
8.1%
1 3
 
8.1%
2 2
 
5.4%
9 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
64.8%
ASCII 37
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
48.6%
7 6
 
16.2%
3 4
 
10.8%
6 3
 
8.1%
1 3
 
8.1%
2 2
 
5.4%
9 1
 
2.7%
Hangul
ValueCountFrequency (%)
서 6
 
8.8%
지 5
 
7.4%
특 5
 
7.4%
별 5
 
7.4%
시 5
 
7.4%
강 5
 
7.4%
남 5
 
7.4%
구 5
 
7.4%
동 5
 
7.4%
울 5
 
7.4%
Other values (9) 17
25.0%

시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
76 
공공용시설
 
4
공공시설
 
1

Length

Max length5
Median length4
Mean length4.0493827
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
93.8%
공공용시설 4
 
4.9%
공공시설 1
 
1.2%

Length

2024-04-06T19:19:13.376794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:13.565548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
93.8%
공공용시설 4
 
4.9%
공공시설 1
 
1.2%

시설명_건물명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing76
Missing (%)93.8%
Memory size780.0 B
2024-04-06T19:19:13.795747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length9.4
Min length3

Characters and Unicode

Total characters47
Distinct characters25
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

Unique5 ?
Unique (%)100.0%

Sample

1st row대치역(지하1층)
2nd row한아름아파트 지하주차장 1층
3rd row논현역 지하1,2,3층
4th row신사역 지하1층
5th row대치역
ValueCountFrequency (%)
대치역(지하1층 1
11.1%
한아름아파트 1
11.1%
지하주차장 1
11.1%
1층 1
11.1%
논현역 1
11.1%
지하1,2,3층 1
11.1%
신사역 1
11.1%
지하1층 1
11.1%
대치역 1
11.1%
2024-04-06T19:19:14.676125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 4
 
8.5%
지 4
 
8.5%
하 4
 
8.5%
1 4
 
8.5%
층 4
 
8.5%
4
 
8.5%
대 2
 
4.3%
아 2
 
4.3%
, 2
 
4.3%
치 2
 
4.3%
Other values (15) 15
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
70.2%
Decimal Number 6
 
12.8%
Space Separator 4
 
8.5%
Other Punctuation 2
 
4.3%
Close Punctuation 1
 
2.1%
Open Punctuation 1
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 4
12.1%
지 4
12.1%
하 4
12.1%
층 4
12.1%
대 2
 
6.1%
아 2
 
6.1%
치 2
 
6.1%
장 1
 
3.0%
신 1
 
3.0%
현 1
 
3.0%
Other values (8) 8
24.2%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
3 1
 
16.7%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
70.2%
Common 14
29.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 4
12.1%
지 4
12.1%
하 4
12.1%
층 4
12.1%
대 2
 
6.1%
아 2
 
6.1%
치 2
 
6.1%
장 1
 
3.0%
신 1
 
3.0%
현 1
 
3.0%
Other values (8) 8
24.2%
Common
ValueCountFrequency (%)
1 4
28.6%
4
28.6%
, 2
14.3%
3 1
 
7.1%
2 1
 
7.1%
) 1
 
7.1%
( 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
70.2%
ASCII 14
29.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 4
12.1%
지 4
12.1%
하 4
12.1%
층 4
12.1%
대 2
 
6.1%
아 2
 
6.1%
치 2
 
6.1%
장 1
 
3.0%
신 1
 
3.0%
현 1
 
3.0%
Other values (8) 8
24.2%
ASCII
ValueCountFrequency (%)
1 4
28.6%
4
28.6%
, 2
14.3%
3 1
 
7.1%
2 1
 
7.1%
) 1
 
7.1%
( 1
 
7.1%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
032200003220000-S2017000042017-01-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>10847.0<NA>서울특별시 강남구 도곡동 967번지서울특별시 강남구 논현로 209 (도곡동, 경남아파트)6270경남아파트 (지하1층~지하3층)2023-07-19 20:45:34U2022-12-06 22:01:00.0<NA>203538.900123442964.630846<NA><NA><NA><NA>
132200003220000-S2005000352005-11-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6458.0<NA>서울특별시 강남구 도곡동 164번지 6호서울특별시 강남구 남부순환로381길 15 (도곡동, 포스코트아파트)6274포스코트아파트 (지하1층~지하2층)2023-07-19 20:52:59U2022-12-06 22:01:00.0<NA>204141.093139442857.883966<NA><NA><NA><NA>
232200003220000-S2008000052008-11-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1897.0<NA>서울특별시 강남구 신사동 635번지 14호서울특별시 강남구 압구정로42길 36 (신사동, 금광아크존1)6017금광아크존 지하 1~2층2024-03-19 19:38:09U2023-12-02 22:01:00.0<NA>202990.870783447146.555568<NA><NA><NA><NA>
332200003220000-S2017000122017-06-12<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5336.0<NA>서울특별시 강남구 논현동 279번지 165호서울특별시 강남구 봉은사로 지하 201 (논현동, 언주역)6109언주역 지하1층2024-01-26 16:29:02U2023-11-30 22:08:00.0<NA>202958.925556445032.129442<NA><NA><NA><NA>
432200003220000-S2007000062007-01-25<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11184.0<NA>서울특별시 강남구 개포동 195번지서울특별시 강남구 개포로 지하 420 (개포동, 개포동역)6324개포동역(지하1층)2023-07-28 17:49:51U2022-12-06 21:00:00.0<NA>206092.518708443088.776167<NA><NA><NA><NA>
532200003220000-S2006000192006-11-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>12203.0<NA>서울특별시 강남구 개포동 175번지 3호서울특별시 강남구 개포로 지하 403 (개포동, 구룡역)6323구룡역(지하1층)2023-07-28 17:50:22U2022-12-06 21:00:00.0<NA>205148.43783442760.161605<NA><NA><NA><NA>
632200003220000-S2017000062017-01-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>29365.0<NA>서울특별시 강남구 수서동 537번지서울특별시 강남구 광평로34길 35 (수서동, 강남더샵포레스트아파트)6362강남더샵포레스트아파트 지하주차장 2층~3층2023-11-02 16:21:43U2022-11-01 00:04:00.0<NA>208339.241254442126.340794<NA><NA><NA><NA>
732200003220000-S2003000102003-05-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1470.0<NA>서울특별시 강남구 개포동 182번지서울특별시 강남구 개포로 511 (개포동, 개포2동주민센터)6328개포2동주민센터(지하1층)2023-07-28 17:50:50U2022-12-06 21:00:00.0<NA>206039.555774443067.034184<NA><NA><NA><NA>
832200003220000-S2005000062005-06-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2857.0<NA>서울특별시 강남구 역삼동 772번지서울특별시 강남구 언주로 337 (역삼동, 동영문화센터)6226동영문화센터(지하2,3,4)2023-11-12 13:55:16U2022-10-31 23:04:00.0<NA>203829.432878443954.517766<NA><NA><NA><NA>
932200003220000-S2006000102006-11-212023-11-064취소/말소/만료/정지/중지19사용중지2023-11-06<NA><NA><NA><NA>8088.0<NA>서울특별시 강남구 역삼동 823번지 풍림빌딩서울특별시 강남구 테헤란로 124, 삼원타워 (역삼동)6234삼원타워 지하 2~4층2023-11-06 12:58:36U2022-11-01 00:08:00.0<NA>202722.531831444055.070696<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
7132200003220000-S1995000061995-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>832.0<NA>서울특별시 강남구 개포동 655번지 3호서울특별시 강남구 언주로 101 (개포동, 쌍용개포아파트)6305쌍용개포아파트 지하1층2024-01-24 10:07:38U2023-11-30 22:06:00.0<NA>204639.492572442105.285338<NA><NA><NA><NA>
7232200003220000-S1993000141993-10-312024-01-244취소/말소/만료/정지/중지19사용중지2024-01-24<NA><NA><NA><NA>5171.0<NA>서울특별시 강남구 대치동 317-3 대치역서울특별시 강남구 남부순환로 지하2952, 대치역 (대치동)6291대치역(3호선) (지하1~3층)2024-01-24 10:00:48U2023-11-30 22:06:00.0<NA>205524.402808443593.223871<NA><NA><NA><NA>
7332200003220000-S1989000071989-08-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1253.0<NA>서울특별시 강남구 개포동 1204 개포4복합문화센터서울특별시 강남구 개포로24길 33, 개포4복합문화센터 (개포동)6308개포4복합문화센터 지하1~3층2024-01-24 10:10:27U2023-11-30 22:06:00.0<NA>204344.178343441662.643228<NA><NA><NA><NA>
7432200003220000-S2008000042008-11-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7933.0<NA>서울특별시 강남구 신사동 632번지서울특별시 강남구 압구정로42길 78 (신사동, 압구정하이츠파크)6020압구정하이츠파크 지하1~2층2024-03-19 19:36:22U2023-12-02 22:01:00.0<NA>202909.890204446838.222266<NA><NA><NA><NA>
7532200003220000-S2008000032008-11-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2225.0<NA>서울특별시 강남구 신사동 651번지 16호서울특별시 강남구 도산대로45길 6 (신사동, 호림아트센터 2빌딩)6021호림아트센터 2빌딩 지하 2~4층2024-03-19 19:41:51U2023-12-02 22:01:00.0<NA>203145.214135446735.298656<NA><NA><NA><NA>
7632200003220000-S2005000142005-06-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2670.0<NA>서울특별시 강남구 압구정동 515번지서울특별시 강남구 압구정로 407 (압구정동, 갤러리아백화점)6009갤러리아백화점 동관 지하1층2024-03-19 19:37:14U2023-12-02 22:01:00.0<NA>203604.761652447316.222786<NA><NA><NA><NA>
7732200003220000-S2005000162005-06-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4654.0<NA>서울특별시 강남구 신사동 666번지 11호서울특별시 강남구 선릉로 801 (신사동)6019배강빌딩 지하 3층~5층2024-03-19 19:41:08U2023-12-02 22:01:00.0<NA>203371.432201446837.876165<NA><NA><NA><NA>
7832200003220000-S2005000132005-06-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1521.0<NA>서울특별시 강남구 압구정동 494번지서울특별시 강남구 압구정로 343 (압구정동, 갤러리아백화점)6008갤러리아백화점 서관 지하1층2024-03-19 19:36:48U2023-12-02 22:01:00.0<NA>203470.848439447369.579852<NA><NA><NA><NA>
7932200003220000-S2005000152005-06-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6119.0<NA>서울특별시 강남구 압구정동 518번지서울특별시 강남구 압구정로 417 (압구정동, 기아빌딩)6009기아자동차 지하1~3층2024-03-19 19:42:28U2023-12-02 22:01:00.0<NA>203720.322501447263.406195<NA><NA><NA><NA>
8032200003220000-S1985000141985-08-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3748.0<NA>서울특별시 강남구 신사동 668번지서울특별시 강남구 압구정로 지하 172 (신사동, 압구정역)6022압구정역 지하1~2층2024-03-19 19:37:49U2023-12-02 22:01:00.0<NA>202432.769131446812.164665<NA><NA><NA><NA>