Overview

Dataset statistics

Number of variables29
Number of observations22
Missing cells216
Missing cells (%)33.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory252.0 B

Variable types

Categorical8
Text6
DateTime5
Unsupported6
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-20004/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 13 (59.1%) missing valuesMissing
폐업일자 has 13 (59.1%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명주소 has 8 (36.4%) missing valuesMissing
도로명우편번호 has 8 (36.4%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
좌표정보(X) has 6 (27.3%) missing valuesMissing
좌표정보(Y) has 6 (27.3%) missing valuesMissing
비상시설위치 has 15 (68.2%) missing valuesMissing
시설명_건물명 has 15 (68.2%) 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

Reproduction

Analysis started2024-05-11 05:31:05.194415
Analysis finished2024-05-11 05:31:05.974751
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3020000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 22
100.0%

Length

2024-05-11T14:31:06.076483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:06.276727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T14:31:06.685479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters396
Distinct characters9
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

Unique22 ?
Unique (%)100.0%

Sample

1st row3020000-E198200001
2nd row3020000-E198800001
3rd row3020000-E198900001
4th row3020000-E198900003
5th row3020000-E198900004
ValueCountFrequency (%)
3020000-e198200001 1
 
4.5%
3020000-e198800001 1
 
4.5%
3020000-e202300001 1
 
4.5%
3020000-e202000002 1
 
4.5%
3020000-e202000001 1
 
4.5%
3020000-e201100004 1
 
4.5%
3020000-e201100003 1
 
4.5%
3020000-e201100002 1
 
4.5%
3020000-e201100001 1
 
4.5%
3020000-e200400004 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T14:31:07.339804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
55.1%
2 46
 
11.6%
1 30
 
7.6%
3 28
 
7.1%
- 22
 
5.6%
E 22
 
5.6%
9 16
 
4.0%
4 8
 
2.0%
8 6
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
88.9%
Dash Punctuation 22
 
5.6%
Uppercase Letter 22
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
61.9%
2 46
 
13.1%
1 30
 
8.5%
3 28
 
8.0%
9 16
 
4.5%
4 8
 
2.3%
8 6
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
94.4%
Latin 22
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
58.3%
2 46
 
12.3%
1 30
 
8.0%
3 28
 
7.5%
- 22
 
5.9%
9 16
 
4.3%
4 8
 
2.1%
8 6
 
1.6%
Latin
ValueCountFrequency (%)
E 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
55.1%
2 46
 
11.6%
1 30
 
7.6%
3 28
 
7.1%
- 22
 
5.6%
E 22
 
5.6%
9 16
 
4.0%
4 8
 
2.0%
8 6
 
1.5%

인허가일자
Date

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1982-12-30 00:00:00
Maximum2023-07-19 00:00:00
2024-05-11T14:31:07.549295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:07.757952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

인허가취소일자
Date

MISSING 

Distinct6
Distinct (%)66.7%
Missing13
Missing (%)59.1%
Memory size308.0 B
Minimum2006-07-12 00:00:00
Maximum2020-12-16 00:00:00
2024-05-11T14:31:07.935454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:08.110516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
13 
4
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 13
59.1%
4 9
40.9%

Length

2024-05-11T14:31:08.299357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:08.467596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
59.1%
4 9
40.9%

영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
13 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length8.6818182
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 13
59.1%
취소/말소/만료/정지/중지 9
40.9%

Length

2024-05-11T14:31:08.649961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:08.827915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
59.1%
취소/말소/만료/정지/중지 9
40.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
18
13 
19
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row19
5th row19

Common Values

ValueCountFrequency (%)
18 13
59.1%
19 9
40.9%

Length

2024-05-11T14:31:09.020203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:09.209492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 13
59.1%
19 9
40.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
사용중
13 
사용중지
9 

Length

Max length4
Median length3
Mean length3.4090909
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 13
59.1%
사용중지 9
40.9%

Length

2024-05-11T14:31:09.501055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:09.723071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 13
59.1%
사용중지 9
40.9%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)66.7%
Missing13
Missing (%)59.1%
Memory size308.0 B
Minimum2006-07-12 00:00:00
Maximum2020-12-16 00:00:00
2024-05-11T14:31:09.883407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:10.077431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지면적
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.22727
Minimum52
Maximum1296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T14:31:10.279917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile82
Q197
median299
Q3667.5
95-th percentile1244.75
Maximum1296
Range1244
Interquartile range (IQR)570.5

Descriptive statistics

Standard deviation404.67541
Coefficient of variation (CV)0.90485404
Kurtosis-0.26115444
Mean447.22727
Median Absolute Deviation (MAD)212
Skewness0.98081443
Sum9839
Variance163762.18
MonotonicityNot monotonic
2024-05-11T14:31:10.512764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
82 2
 
9.1%
255 1
 
4.5%
500 1
 
4.5%
100 1
 
4.5%
700 1
 
4.5%
89 1
 
4.5%
310 1
 
4.5%
570 1
 
4.5%
891 1
 
4.5%
96 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
52 1
4.5%
82 2
9.1%
85 1
4.5%
89 1
4.5%
96 1
4.5%
100 1
4.5%
144 1
4.5%
249 1
4.5%
255 1
4.5%
288 1
4.5%
ValueCountFrequency (%)
1296 1
4.5%
1251 1
4.5%
1126 1
4.5%
891 1
4.5%
878 1
4.5%
700 1
4.5%
570 1
4.5%
500 1
4.5%
441 1
4.5%
354 1
4.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지번주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T14:31:10.851122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length25
Mean length24.772727
Min length18

Characters and Unicode

Total characters545
Distinct characters61
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

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 용산구 서계동 226번지 3호
2nd row서울특별시 용산구 이태원동 22-76 몬드리안 서울 이태원
3rd row서울특별시 용산구 한강로3가 65번지 500호
4th row서울특별시 용산구 한남동 644번지 2호
5th row서울특별시 용산구 한강로2가 191번지
ValueCountFrequency (%)
서울특별시 22
20.8%
용산구 22
20.8%
한강로3가 7
 
6.6%
이태원동 4
 
3.8%
한남동 3
 
2.8%
65번지 2
 
1.9%
40번지 2
 
1.9%
용산동6가 2
 
1.9%
65-228 2
 
1.9%
엘지유플러스 2
 
1.9%
Other values (38) 38
35.8%
2024-05-11T14:31:11.451571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
16.5%
산 27
 
5.0%
서 26
 
4.8%
용 26
 
4.8%
울 24
 
4.4%
시 23
 
4.2%
별 22
 
4.0%
특 22
 
4.0%
구 22
 
4.0%
지 18
 
3.3%
Other values (51) 245
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
63.7%
Decimal Number 101
 
18.5%
Space Separator 90
 
16.5%
Dash Punctuation 5
 
0.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 27
 
7.8%
서 26
 
7.5%
용 26
 
7.5%
울 24
 
6.9%
시 23
 
6.6%
별 22
 
6.3%
특 22
 
6.3%
구 22
 
6.3%
지 18
 
5.2%
번 16
 
4.6%
Other values (37) 121
34.9%
Decimal Number
ValueCountFrequency (%)
6 16
15.8%
2 15
14.9%
3 13
12.9%
1 12
11.9%
4 10
9.9%
0 9
8.9%
9 8
7.9%
5 8
7.9%
8 5
 
5.0%
7 5
 
5.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
63.7%
Common 198
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 27
 
7.8%
서 26
 
7.5%
용 26
 
7.5%
울 24
 
6.9%
시 23
 
6.6%
별 22
 
6.3%
특 22
 
6.3%
구 22
 
6.3%
지 18
 
5.2%
번 16
 
4.6%
Other values (37) 121
34.9%
Common
ValueCountFrequency (%)
90
45.5%
6 16
 
8.1%
2 15
 
7.6%
3 13
 
6.6%
1 12
 
6.1%
4 10
 
5.1%
0 9
 
4.5%
9 8
 
4.0%
5 8
 
4.0%
8 5
 
2.5%
Other values (4) 12
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
63.7%
ASCII 198
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
45.5%
6 16
 
8.1%
2 15
 
7.6%
3 13
 
6.6%
1 12
 
6.1%
4 10
 
5.1%
0 9
 
4.5%
9 8
 
4.0%
5 8
 
4.0%
8 5
 
2.5%
Other values (4) 12
 
6.1%
Hangul
ValueCountFrequency (%)
산 27
 
7.8%
서 26
 
7.5%
용 26
 
7.5%
울 24
 
6.9%
시 23
 
6.6%
별 22
 
6.3%
특 22
 
6.3%
구 22
 
6.3%
지 18
 
5.2%
번 16
 
4.6%
Other values (37) 121
34.9%

도로명주소
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing8
Missing (%)36.4%
Memory size308.0 B
2024-05-11T14:31:11.856180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length34.142857
Min length32

Characters and Unicode

Total characters478
Distinct characters93
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

Unique12 ?
Unique (%)85.7%

Sample

1st row서울특별시 용산구 장문로 23, 몬드리안 서울 이태원 (이태원동)
2nd row서울특별시 용산구 서빙고로 48 (한강로3가, 철우아파트)
3rd row서울특별시 용산구 대사관로24길 8 (한남동, 태성빌라아파트)
4th row서울특별시 용산구 한강대로 92 (한강로2가, LS용산타워)
5th row서울특별시 용산구 한강대로7길 23-4 (한강로3가, 장미맨션)
ValueCountFrequency (%)
서울특별시 14
 
16.1%
용산구 14
 
16.1%
한강로3가 6
 
6.9%
한강대로 4
 
4.6%
32 2
 
2.3%
엘지유플러스 2
 
2.3%
이태원로 2
 
2.3%
용산동6가 2
 
2.3%
이태원동 2
 
2.3%
서빙고로 2
 
2.3%
Other values (37) 37
42.5%
2024-05-11T14:31:12.443966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
15.3%
로 21
 
4.4%
서 19
 
4.0%
용 18
 
3.8%
산 18
 
3.8%
울 17
 
3.6%
) 16
 
3.3%
( 16
 
3.3%
시 15
 
3.1%
특 14
 
2.9%
Other values (83) 251
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
64.2%
Space Separator 73
 
15.3%
Decimal Number 49
 
10.3%
Close Punctuation 16
 
3.3%
Open Punctuation 16
 
3.3%
Other Punctuation 14
 
2.9%
Uppercase Letter 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 21
 
6.8%
서 19
 
6.2%
용 18
 
5.9%
산 18
 
5.9%
울 17
 
5.5%
시 15
 
4.9%
특 14
 
4.6%
별 14
 
4.6%
구 14
 
4.6%
한 14
 
4.6%
Other values (66) 143
46.6%
Decimal Number
ValueCountFrequency (%)
3 12
24.5%
2 11
22.4%
4 5
10.2%
9 4
 
8.2%
1 4
 
8.2%
5 3
 
6.1%
7 3
 
6.1%
0 3
 
6.1%
8 2
 
4.1%
6 2
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
64.2%
Common 169
35.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 21
 
6.8%
서 19
 
6.2%
용 18
 
5.9%
산 18
 
5.9%
울 17
 
5.5%
시 15
 
4.9%
특 14
 
4.6%
별 14
 
4.6%
구 14
 
4.6%
한 14
 
4.6%
Other values (66) 143
46.6%
Common
ValueCountFrequency (%)
73
43.2%
) 16
 
9.5%
( 16
 
9.5%
, 14
 
8.3%
3 12
 
7.1%
2 11
 
6.5%
4 5
 
3.0%
9 4
 
2.4%
1 4
 
2.4%
5 3
 
1.8%
Other values (5) 11
 
6.5%
Latin
ValueCountFrequency (%)
L 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
64.2%
ASCII 171
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
42.7%
) 16
 
9.4%
( 16
 
9.4%
, 14
 
8.2%
3 12
 
7.0%
2 11
 
6.4%
4 5
 
2.9%
9 4
 
2.3%
1 4
 
2.3%
5 3
 
1.8%
Other values (7) 13
 
7.6%
Hangul
ValueCountFrequency (%)
로 21
 
6.8%
서 19
 
6.2%
용 18
 
5.9%
산 18
 
5.9%
울 17
 
5.5%
시 15
 
4.9%
특 14
 
4.6%
별 14
 
4.6%
구 14
 
4.6%
한 14
 
4.6%
Other values (66) 143
46.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean4379.2857
Minimum4320
Maximum4428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T14:31:12.684445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4320
5-th percentile4339.5
Q14373.5
median4384.5
Q34389
95-th percentile4411.1
Maximum4428
Range108
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation25.559669
Coefficient of variation (CV)0.0058364928
Kurtosis1.7559383
Mean4379.2857
Median Absolute Deviation (MAD)7
Skewness-0.64396091
Sum61310
Variance653.2967
MonotonicityNot monotonic
2024-05-11T14:31:12.890649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4389 2
 
9.1%
4392 1
 
4.5%
4388 1
 
4.5%
4402 1
 
4.5%
4386 1
 
4.5%
4380 1
 
4.5%
4353 1
 
4.5%
4383 1
 
4.5%
4350 1
 
4.5%
4378 1
 
4.5%
Other values (3) 3
 
13.6%
(Missing) 8
36.4%
ValueCountFrequency (%)
4320 1
4.5%
4350 1
4.5%
4353 1
4.5%
4372 1
4.5%
4378 1
4.5%
4380 1
4.5%
4383 1
4.5%
4386 1
4.5%
4388 1
4.5%
4389 2
9.1%
ValueCountFrequency (%)
4428 1
4.5%
4402 1
4.5%
4392 1
4.5%
4389 2
9.1%
4388 1
4.5%
4386 1
4.5%
4383 1
4.5%
4380 1
4.5%
4378 1
4.5%
4372 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T14:31:13.212238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length12.090909
Min length4

Characters and Unicode

Total characters266
Distinct characters99
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

Unique22 ?
Unique (%)100.0%

Sample

1st row청파 어린이공원 비상급수시설
2nd row몬드리안 서울 이태원 호텔 비상급수시설
3rd row철우아파트 비상급수시설
4th row태성아파트 비상급수시설
5th rowLS네트워크 비상급수시설
ValueCountFrequency (%)
비상급수시설 14
33.3%
엘지유플러스 2
 
4.8%
청파 1
 
2.4%
효창공원앞역 1
 
2.4%
비상급수시설(음용수 1
 
2.4%
서울드래곤시티호텔 1
 
2.4%
응봉공원 1
 
2.4%
신동아건설(주 1
 
2.4%
코레일공항철도(주 1
 
2.4%
용산컨벤션센타 1
 
2.4%
Other values (18) 18
42.9%
2024-05-11T14:31:13.723770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
7.5%
수 18
 
6.8%
설 17
 
6.4%
시 17
 
6.4%
비 16
 
6.0%
급 16
 
6.0%
상 16
 
6.0%
원 6
 
2.3%
) 5
 
1.9%
( 5
 
1.9%
Other values (89) 130
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
88.0%
Space Separator 20
 
7.5%
Close Punctuation 5
 
1.9%
Open Punctuation 5
 
1.9%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 18
 
7.7%
설 17
 
7.3%
시 17
 
7.3%
비 16
 
6.8%
급 16
 
6.8%
상 16
 
6.8%
원 6
 
2.6%
공 4
 
1.7%
역 4
 
1.7%
용 4
 
1.7%
Other values (84) 116
49.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
88.0%
Common 30
 
11.3%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 18
 
7.7%
설 17
 
7.3%
시 17
 
7.3%
비 16
 
6.8%
급 16
 
6.8%
상 16
 
6.8%
원 6
 
2.6%
공 4
 
1.7%
역 4
 
1.7%
용 4
 
1.7%
Other values (84) 116
49.6%
Common
ValueCountFrequency (%)
20
66.7%
) 5
 
16.7%
( 5
 
16.7%
Latin
ValueCountFrequency (%)
L 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
88.0%
ASCII 32
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
62.5%
) 5
 
15.6%
( 5
 
15.6%
L 1
 
3.1%
S 1
 
3.1%
Hangul
ValueCountFrequency (%)
수 18
 
7.7%
설 17
 
7.3%
시 17
 
7.3%
비 16
 
6.8%
급 16
 
6.8%
상 16
 
6.8%
원 6
 
2.6%
공 4
 
1.7%
역 4
 
1.7%
용 4
 
1.7%
Other values (84) 116
49.6%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2006-12-27 00:00:00
Maximum2024-04-23 12:54:38
2024-05-11T14:31:13.950646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:14.172493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
U
15 
I
7 

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 15
68.2%
I 7
31.8%

Length

2024-05-11T14:31:14.443749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:14.702584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
68.2%
i 7
31.8%

데이터갱신일자
Date

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:05:00
2024-05-11T14:31:14.836240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:31:15.047221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing6
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean197887.84
Minimum196512.61
Maximum200302.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T14:31:15.256343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196512.61
5-th percentile196586.15
Q1196715.67
median197286.91
Q3198801.58
95-th percentile200255.73
Maximum200302.74
Range3790.1344
Interquartile range (IQR)2085.9026

Descriptive statistics

Standard deviation1319.5434
Coefficient of variation (CV)0.0066681378
Kurtosis-0.83278928
Mean197887.84
Median Absolute Deviation (MAD)648.47909
Skewness0.76329997
Sum3166205.5
Variance1741194.8
MonotonicityNot monotonic
2024-05-11T14:31:15.830628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
196701.958402155 2
 
9.1%
197126.098626195 1
 
4.5%
199337.628628981 1
 
4.5%
197199.97335263 1
 
4.5%
200302.740506686 1
 
4.5%
197099.381481836 1
 
4.5%
196512.606099422 1
 
4.5%
197907.622016666 1
 
4.5%
198359.894042796 1
 
4.5%
199387.896366941 1
 
4.5%
Other values (5) 5
22.7%
(Missing) 6
27.3%
ValueCountFrequency (%)
196512.606099422 1
4.5%
196610.663839509 1
4.5%
196701.958402155 2
9.1%
196720.245903385 1
4.5%
197099.381481836 1
4.5%
197126.098626195 1
4.5%
197199.97335263 1
4.5%
197373.839856311 1
4.5%
197907.622016666 1
4.5%
198359.894042796 1
4.5%
ValueCountFrequency (%)
200302.740506686 1
4.5%
200240.065553434 1
4.5%
199387.896366941 1
4.5%
199337.628628981 1
4.5%
198622.89264988 1
4.5%
198359.894042796 1
4.5%
197907.622016666 1
4.5%
197373.839856311 1
4.5%
197199.97335263 1
4.5%
197126.098626195 1
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing6
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean447734.21
Minimum446114.16
Maximum450142.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T14:31:16.016552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446114.16
5-th percentile446595.45
Q1446837.98
median447371.02
Q3448098.78
95-th percentile450046.56
Maximum450142.61
Range4028.452
Interquartile range (IQR)1260.7934

Descriptive statistics

Standard deviation1192.4611
Coefficient of variation (CV)0.0026633237
Kurtosis0.18067716
Mean447734.21
Median Absolute Deviation (MAD)545.48392
Skewness1.013768
Sum7163747.4
Variance1421963.5
MonotonicityNot monotonic
2024-05-11T14:31:16.215985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
446837.982163744 2
 
9.1%
450142.607198487 1
 
4.5%
447413.487156381 1
 
4.5%
446813.085979053 1
 
4.5%
447850.990920737 1
 
4.5%
447328.548832245 1
 
4.5%
446935.618482725 1
 
4.5%
448229.955586627 1
 
4.5%
446755.881350777 1
 
4.5%
448055.04886957 1
 
4.5%
Other values (5) 5
22.7%
(Missing) 6
27.3%
ValueCountFrequency (%)
446114.155238838 1
4.5%
446755.881350777 1
4.5%
446813.085979053 1
4.5%
446837.982163744 2
9.1%
446935.618482725 1
4.5%
447265.931504275 1
4.5%
447328.548832245 1
4.5%
447413.487156381 1
4.5%
447742.348636253 1
4.5%
447850.990920737 1
4.5%
ValueCountFrequency (%)
450142.607198487 1
4.5%
450014.537949042 1
4.5%
449409.231000059 1
4.5%
448229.955586627 1
4.5%
448055.04886957 1
4.5%
447850.990920737 1
4.5%
447742.348636253 1
4.5%
447413.487156381 1
4.5%
447328.548832245 1
4.5%
447265.931504275 1
4.5%

비상시설위치
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing15
Missing (%)68.2%
Memory size308.0 B
2024-05-11T14:31:16.501671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length22
Mean length24.428571
Min length18

Characters and Unicode

Total characters171
Distinct characters44
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

Unique7 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 한남동 644번지 2호
2nd row서울특별시 용산구 한강로3가 65번지 154호 중앙대학교부속용산병원(서빙고로14)
3rd row서울특별시 용산구 이태원동 34
4th row서울특별시 용산구 효창동 70번지
5th row서울특별시 용산구 한강로1가 19번지
ValueCountFrequency (%)
서울특별시 7
21.9%
용산구 7
21.9%
이태원동 2
 
6.2%
한남동 2
 
6.2%
644번지 1
 
3.1%
2호 1
 
3.1%
한강로3가 1
 
3.1%
65번지 1
 
3.1%
154호 1
 
3.1%
중앙대학교부속용산병원(서빙고로14 1
 
3.1%
Other values (8) 8
25.0%
2024-05-11T14:31:17.001830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
18.1%
산 9
 
5.3%
서 8
 
4.7%
용 8
 
4.7%
구 7
 
4.1%
울 7
 
4.1%
시 7
 
4.1%
특 7
 
4.1%
별 7
 
4.1%
1 6
 
3.5%
Other values (34) 74
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
65.5%
Space Separator 31
 
18.1%
Decimal Number 26
 
15.2%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9
 
8.0%
서 8
 
7.1%
용 8
 
7.1%
구 7
 
6.2%
울 7
 
6.2%
시 7
 
6.2%
특 7
 
6.2%
별 7
 
6.2%
지 6
 
5.4%
번 6
 
5.4%
Other values (22) 40
35.7%
Decimal Number
ValueCountFrequency (%)
1 6
23.1%
4 5
19.2%
3 4
15.4%
7 2
 
7.7%
0 2
 
7.7%
5 2
 
7.7%
6 2
 
7.7%
2 2
 
7.7%
9 1
 
3.8%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
65.5%
Common 59
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9
 
8.0%
서 8
 
7.1%
용 8
 
7.1%
구 7
 
6.2%
울 7
 
6.2%
시 7
 
6.2%
특 7
 
6.2%
별 7
 
6.2%
지 6
 
5.4%
번 6
 
5.4%
Other values (22) 40
35.7%
Common
ValueCountFrequency (%)
31
52.5%
1 6
 
10.2%
4 5
 
8.5%
3 4
 
6.8%
7 2
 
3.4%
0 2
 
3.4%
5 2
 
3.4%
6 2
 
3.4%
2 2
 
3.4%
) 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
65.5%
ASCII 59
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
52.5%
1 6
 
10.2%
4 5
 
8.5%
3 4
 
6.8%
7 2
 
3.4%
0 2
 
3.4%
5 2
 
3.4%
6 2
 
3.4%
2 2
 
3.4%
) 1
 
1.7%
Other values (2) 2
 
3.4%
Hangul
ValueCountFrequency (%)
산 9
 
8.0%
서 8
 
7.1%
용 8
 
7.1%
구 7
 
6.2%
울 7
 
6.2%
시 7
 
6.2%
특 7
 
6.2%
별 7
 
6.2%
지 6
 
5.4%
번 6
 
5.4%
Other values (22) 40
35.7%

시설구분명
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
15 
공공시설
4 
민간시설
2 
자치단체자체시설
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
68.2%
공공시설 4
 
18.2%
민간시설 2
 
9.1%
자치단체자체시설 1
 
4.5%

Length

2024-05-11T14:31:17.266156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:17.554528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
68.2%
공공시설 4
 
18.2%
민간시설 2
 
9.1%
자치단체자체시설 1
 
4.5%

시설명_건물명
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing15
Missing (%)68.2%
Memory size308.0 B
2024-05-11T14:31:17.812788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.857143
Min length11

Characters and Unicode

Total characters83
Distinct characters35
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

Unique7 ?
Unique (%)100.0%

Sample

1st row태성아파트 비상급수시설
2nd row중대용산병원 비상급수시설
3rd row크라운호텔 비상급수시설
4th row효창공원앞역 비상급수시설
5th row삼각지역 비상급수시설
ValueCountFrequency (%)
비상급수시설 7
50.0%
태성아파트 1
 
7.1%
중대용산병원 1
 
7.1%
크라운호텔 1
 
7.1%
효창공원앞역 1
 
7.1%
삼각지역 1
 
7.1%
이태원역 1
 
7.1%
한강진역 1
 
7.1%
2024-05-11T14:31:18.307429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 7
 
8.4%
설 7
 
8.4%
시 7
 
8.4%
7
 
8.4%
비 7
 
8.4%
상 7
 
8.4%
급 7
 
8.4%
역 4
 
4.8%
원 3
 
3.6%
태 2
 
2.4%
Other values (25) 25
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
91.6%
Space Separator 7
 
8.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 7
 
9.2%
설 7
 
9.2%
시 7
 
9.2%
비 7
 
9.2%
상 7
 
9.2%
급 7
 
9.2%
역 4
 
5.3%
원 3
 
3.9%
태 2
 
2.6%
트 1
 
1.3%
Other values (24) 24
31.6%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
91.6%
Common 7
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 7
 
9.2%
설 7
 
9.2%
시 7
 
9.2%
비 7
 
9.2%
상 7
 
9.2%
급 7
 
9.2%
역 4
 
5.3%
원 3
 
3.9%
태 2
 
2.6%
트 1
 
1.3%
Other values (24) 24
31.6%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
91.6%
ASCII 7
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 7
 
9.2%
설 7
 
9.2%
시 7
 
9.2%
비 7
 
9.2%
상 7
 
9.2%
급 7
 
9.2%
역 4
 
5.3%
원 3
 
3.9%
태 2
 
2.6%
트 1
 
1.3%
Other values (24) 24
31.6%
ASCII
ValueCountFrequency (%)
7
100.0%

해제일자
Categorical

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
15 
20090113
2 
20110526
2 
20201210
 
1
20110419
 
1

Length

Max length8
Median length4
Mean length5.2727273
Min length4

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20201210
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 15
68.2%
20090113 2
 
9.1%
20110526 2
 
9.1%
20201210 1
 
4.5%
20110419 1
 
4.5%
20060712 1
 
4.5%

Length

2024-05-11T14:31:18.541620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:31:18.780871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
68.2%
20090113 2
 
9.1%
20110526 2
 
9.1%
20201210 1
 
4.5%
20110419 1
 
4.5%
20060712 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030200003020000-E1982000011982-12-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>255<NA>서울특별시 용산구 서계동 226번지 3호<NA><NA>청파 어린이공원 비상급수시설2024-04-23 11:26:16U2023-12-03 22:05:00.0<NA>197126.098626450142.607198<NA><NA><NA><NA>
130200003020000-E1988000011988-12-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>82<NA>서울특별시 용산구 이태원동 22-76 몬드리안 서울 이태원서울특별시 용산구 장문로 23, 몬드리안 서울 이태원 (이태원동)4392몬드리안 서울 이태원 호텔 비상급수시설2023-05-01 17:38:17U2022-12-05 00:03:00.0<NA>199337.628629447413.487156<NA><NA><NA><NA>
230200003020000-E1989000011989-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>82<NA>서울특별시 용산구 한강로3가 65번지 500호서울특별시 용산구 서빙고로 48 (한강로3가, 철우아파트)4388철우아파트 비상급수시설2024-04-23 12:34:18U2023-12-03 22:05:00.0<NA>197199.973353446813.085979<NA><NA><NA><NA>
330200003020000-E19890000319890111202012104취소/말소/만료/정지/중지19사용중지20201210<NA><NA><NA><NA>52<NA>서울특별시 용산구 한남동 644번지 2호서울특별시 용산구 대사관로24길 8 (한남동, 태성빌라아파트)4402태성아파트 비상급수시설2020-12-10 18:02:23U2020-12-12 02:40:00.0<NA>200302.740507447850.990921서울특별시 용산구 한남동 644번지 2호자치단체자체시설태성아파트 비상급수시설20201210
430200003020000-E1989000041989-07-062020-12-164취소/말소/만료/정지/중지19사용중지2020-12-16<NA><NA><NA><NA>1296<NA>서울특별시 용산구 한강로2가 191번지서울특별시 용산구 한강대로 92 (한강로2가, LS용산타워)4386LS네트워크 비상급수시설2023-02-21 18:07:10U2022-12-01 22:03:00.0<NA>197099.381482447328.548832<NA><NA><NA><NA>
530200003020000-E1991000011991-01-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>85<NA>서울특별시 용산구 한강로3가 40번지 23호서울특별시 용산구 한강대로7길 23-4 (한강로3가, 장미맨션)4380장미연립 비상급수시설2024-04-22 21:38:31U2023-12-03 22:04:00.0<NA>196512.606099446935.618483<NA><NA><NA><NA>
630200003020000-E19910000219911105201104194취소/말소/만료/정지/중지19사용중지20110419<NA><NA><NA><NA>288<NA>서울특별시 용산구 한강로3가 65번지 154호 중앙대학교부속용산병원(서빙고로14)<NA><NA>중대용산병원 비상급수시설2011-04-19 11:27:52I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 용산구 한강로3가 65번지 154호 중앙대학교부속용산병원(서빙고로14)민간시설중대용산병원 비상급수시설20110419
730200003020000-E19910000319910705200607124취소/말소/만료/정지/중지19사용중지20060712<NA><NA><NA><NA>878<NA>서울특별시 용산구 이태원동 34<NA><NA>크라운호텔 비상급수시설2006-12-27 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 용산구 이태원동 34민간시설크라운호텔 비상급수시설20060712
830200003020000-E1994000011994-03-312020-12-164취소/말소/만료/정지/중지19사용중지2020-12-16<NA><NA><NA><NA>354<NA>서울특별시 용산구 용산동1가 8번지서울특별시 용산구 이태원로 29 (용산동1가, 전쟁기념관)4353전쟁기념사업회 비상급수시설2023-02-21 18:11:15U2022-12-01 22:03:00.0<NA>197907.622017448229.955587<NA><NA><NA><NA>
930200003020000-E2002000012002-06-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1251<NA>서울특별시 용산구 용산동6가 168번지 6호서울특별시 용산구 서빙고로 137 (용산동6가, 국립중앙박물관)4383국립중앙박물관 비상급수시설2023-05-01 18:46:53U2022-12-05 00:03:00.0<NA>198359.894043446755.881351<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
1230200003020000-E20040000320040924201105264취소/말소/만료/정지/중지19사용중지20110526<NA><NA><NA><NA>441<NA>서울특별시 용산구 이태원동 127번지<NA><NA>이태원역 비상급수시설2011-05-30 16:23:58I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 용산구 이태원동 127번지공공시설이태원역 비상급수시설20110526
1330200003020000-E20040000420040924201105264취소/말소/만료/정지/중지19사용중지20110526<NA><NA><NA><NA>249<NA>서울특별시 용산구 한남동 산10번지 33호<NA><NA>한강진역 비상급수시설2011-05-30 16:25:21I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 용산구 한남동 산10번지 33호공공시설한강진역 비상급수시설20110526
1430200003020000-E2011000012011-04-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>96<NA>서울특별시 용산구 이태원동 108번지 9호서울특별시 용산구 이태원로 179 (이태원동, 해밀톤호텔 (본관))4350해밀톤관광(주)2023-05-01 19:01:36U2022-12-05 00:03:00.0<NA>199387.896367448055.04887<NA><NA><NA><NA>
1530200003020000-E2011000022011-04-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>891<NA>서울특별시 용산구 한강로3가 40번지 946호서울특별시 용산구 한강대로21나길 40 (한강로3가, 스파사우나)4378용산컨벤션센타2023-05-01 19:19:50U2022-12-05 00:03:00.0<NA>196720.245903447265.931504<NA><NA><NA><NA>
1630200003020000-E2011000032011-04-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>570<NA>서울특별시 용산구 동자동 43번지 205호서울특별시 용산구 한강대로 405 (동자동, 서울역(철도역))4320코레일공항철도(주)2023-05-01 18:05:19U2022-12-05 00:03:00.0<NA>197373.839856450014.537949<NA><NA><NA><NA>
1730200003020000-E2011000042011-04-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>310<NA>서울특별시 용산구 용산동6가 69번지 167호서울특별시 용산구 이촌로 352 (용산동6가, 신동아쇼핑)4428신동아건설(주)2023-05-01 19:14:43U2022-12-05 00:03:00.0<NA>198622.89265446114.155239<NA><NA><NA><NA>
1830200003020000-E2020000012020-11-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>89<NA>서울특별시 용산구 한남동 726-259<NA><NA>응봉공원2024-04-23 12:54:38U2023-12-03 22:05:00.0<NA>200240.065553449409.231<NA><NA><NA><NA>
1930200003020000-E2020000022020-12-10<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>700<NA>서울특별시 용산구 한강로3가 40-969 서울드래곤시티호텔서울특별시 용산구 청파로20길 95, 서울드래곤시티 (한강로3가)4372서울드래곤시티호텔2023-05-23 19:08:24U2022-12-04 22:05:00.0<NA>196610.66384447742.348636<NA><NA><NA><NA>
2030200003020000-E2023000012023-07-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100<NA>서울특별시 용산구 한강로3가 65-228 엘지유플러스서울특별시 용산구 한강대로 32, 엘지유플러스 (한강로3가)4389엘지유플러스 비상급수시설(음용수)2023-07-25 15:04:06I2022-12-06 22:07:00.0<NA>196701.958402446837.982164<NA><NA><NA><NA>
2130200003020000-E2023000022023-07-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>500<NA>서울특별시 용산구 한강로3가 65-228 엘지유플러스서울특별시 용산구 한강대로 32, 엘지유플러스 (한강로3가)4389엘지유플러스 비상급수시설(생활용수)2023-08-05 16:13:17U2022-12-08 00:07:00.0<NA>196701.958402446837.982164<NA><NA><NA><NA>