Overview

Dataset statistics

Number of variables47
Number of observations555
Missing cells6018
Missing cells (%)23.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory219.6 KiB
Average record size in memory405.2 B

Variable types

Categorical20
Text6
DateTime4
Unsupported7
Numeric8
Boolean2

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),위생업태명,건물지상층수,건물지하층수,사용시작지상층,사용끝지상층,사용시작지하층,사용끝지하층,한실수,양실수,욕실수,발한실여부,좌석수,조건부허가신고사유,조건부허가시작일자,조건부허가종료일자,건물소유구분명,세탁기수,여성종사자수,남성종사자수,회수건조수,침대수,다중이용업소여부
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17930/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (71.9%)Imbalance
사용끝지하층 is highly imbalanced (70.1%)Imbalance
건물소유구분명 is highly imbalanced (67.5%)Imbalance
여성종사자수 is highly imbalanced (79.2%)Imbalance
남성종사자수 is highly imbalanced (77.5%)Imbalance
침대수 is highly imbalanced (73.7%)Imbalance
인허가취소일자 has 555 (100.0%) missing valuesMissing
폐업일자 has 69 (12.4%) missing valuesMissing
휴업시작일자 has 555 (100.0%) missing valuesMissing
휴업종료일자 has 555 (100.0%) missing valuesMissing
재개업일자 has 555 (100.0%) missing valuesMissing
전화번호 has 96 (17.3%) missing valuesMissing
도로명주소 has 407 (73.3%) missing valuesMissing
도로명우편번호 has 414 (74.6%) missing valuesMissing
좌표정보(X) has 68 (12.3%) missing valuesMissing
좌표정보(Y) has 68 (12.3%) missing valuesMissing
건물지상층수 has 165 (29.7%) missing valuesMissing
사용시작지상층 has 213 (38.4%) missing valuesMissing
사용끝지상층 has 506 (91.2%) missing valuesMissing
발한실여부 has 32 (5.8%) missing valuesMissing
좌석수 has 67 (12.1%) missing valuesMissing
조건부허가신고사유 has 555 (100.0%) missing valuesMissing
조건부허가시작일자 has 555 (100.0%) missing valuesMissing
조건부허가종료일자 has 555 (100.0%) missing valuesMissing
다중이용업소여부 has 27 (4.9%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 7 (1.3%) zerosZeros
건물지상층수 has 331 (59.6%) zerosZeros
사용시작지상층 has 300 (54.1%) zerosZeros
사용끝지상층 has 21 (3.8%) zerosZeros
좌석수 has 62 (11.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:50:33.893267
Analysis finished2024-05-11 06:50:35.397959
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3030000
555 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 555
100.0%

Length

2024-05-11T15:50:35.561623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:35.787365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 555
100.0%

관리번호
Text

UNIQUE 

Distinct555
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:50:36.149332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters12210
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique555 ?
Unique (%)100.0%

Sample

1st row3030000-203-1961-01277
2nd row3030000-203-1964-01111
3rd row3030000-203-1966-00415
4th row3030000-203-1966-00428
5th row3030000-203-1967-00399
ValueCountFrequency (%)
3030000-203-1961-01277 1
 
0.2%
3030000-203-2001-01527 1
 
0.2%
3030000-203-2001-01513 1
 
0.2%
3030000-203-2002-00003 1
 
0.2%
3030000-203-2002-00002 1
 
0.2%
3030000-203-2002-00001 1
 
0.2%
3030000-203-2001-01529 1
 
0.2%
3030000-203-2001-01528 1
 
0.2%
3030000-203-2002-00005 1
 
0.2%
3030000-203-2002-00004 1
 
0.2%
Other values (545) 545
98.2%
2024-05-11T15:50:36.831253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5043
41.3%
3 1931
 
15.8%
- 1665
 
13.6%
2 1110
 
9.1%
1 943
 
7.7%
9 562
 
4.6%
8 260
 
2.1%
7 206
 
1.7%
4 189
 
1.5%
6 151
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10545
86.4%
Dash Punctuation 1665
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5043
47.8%
3 1931
 
18.3%
2 1110
 
10.5%
1 943
 
8.9%
9 562
 
5.3%
8 260
 
2.5%
7 206
 
2.0%
4 189
 
1.8%
6 151
 
1.4%
5 150
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1665
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5043
41.3%
3 1931
 
15.8%
- 1665
 
13.6%
2 1110
 
9.1%
1 943
 
7.7%
9 562
 
4.6%
8 260
 
2.1%
7 206
 
1.7%
4 189
 
1.5%
6 151
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5043
41.3%
3 1931
 
15.8%
- 1665
 
13.6%
2 1110
 
9.1%
1 943
 
7.7%
9 562
 
4.6%
8 260
 
2.1%
7 206
 
1.7%
4 189
 
1.5%
6 151
 
1.2%

인허가일자
Date

Distinct459
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum1961-08-12 00:00:00
Maximum2024-03-27 00:00:00
2024-05-11T15:50:37.183037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:37.577044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
3
486 
1
69 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 486
87.6%
1 69
 
12.4%

Length

2024-05-11T15:50:37.838948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:38.033261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 486
87.6%
1 69
 
12.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
폐업
486 
영업/정상
69 

Length

Max length5
Median length2
Mean length2.372973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 486
87.6%
영업/정상 69
 
12.4%

Length

2024-05-11T15:50:38.234886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:38.462983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 486
87.6%
영업/정상 69
 
12.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2
486 
1
69 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 486
87.6%
1 69
 
12.4%

Length

2024-05-11T15:50:38.656290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:38.832893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 486
87.6%
1 69
 
12.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
폐업
486 
영업
69 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 486
87.6%
영업 69
 
12.4%

Length

2024-05-11T15:50:39.028321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:39.222815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 486
87.6%
영업 69
 
12.4%

폐업일자
Date

MISSING 

Distinct379
Distinct (%)78.0%
Missing69
Missing (%)12.4%
Memory size4.5 KiB
Minimum1991-05-27 00:00:00
Maximum2024-02-16 00:00:00
2024-05-11T15:50:39.486582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:39.728709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

전화번호
Text

MISSING 

Distinct396
Distinct (%)86.3%
Missing96
Missing (%)17.3%
Memory size4.5 KiB
2024-05-11T15:50:40.168486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6296296
Min length2

Characters and Unicode

Total characters4420
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique366 ?
Unique (%)79.7%

Sample

1st row0202959886
2nd row0204658918
3rd row0222911133
4th row0222940960
5th row0222985548
ValueCountFrequency (%)
02 202
31.4%
0 8
 
1.2%
00000 5
 
0.8%
0222924556 4
 
0.6%
4998348 3
 
0.5%
4672114 3
 
0.5%
0222814680 3
 
0.5%
4698841 3
 
0.5%
4625839 2
 
0.3%
0222827973 2
 
0.3%
Other values (388) 408
63.5%
2024-05-11T15:50:40.953544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1147
26.0%
0 767
17.4%
4 421
 
9.5%
9 391
 
8.8%
6 317
 
7.2%
3 261
 
5.9%
5 236
 
5.3%
1 236
 
5.3%
8 224
 
5.1%
216
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4204
95.1%
Space Separator 216
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1147
27.3%
0 767
18.2%
4 421
 
10.0%
9 391
 
9.3%
6 317
 
7.5%
3 261
 
6.2%
5 236
 
5.6%
1 236
 
5.6%
8 224
 
5.3%
7 204
 
4.9%
Space Separator
ValueCountFrequency (%)
216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1147
26.0%
0 767
17.4%
4 421
 
9.5%
9 391
 
8.8%
6 317
 
7.2%
3 261
 
5.9%
5 236
 
5.3%
1 236
 
5.3%
8 224
 
5.1%
216
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1147
26.0%
0 767
17.4%
4 421
 
9.5%
9 391
 
8.8%
6 317
 
7.2%
3 261
 
5.9%
5 236
 
5.3%
1 236
 
5.3%
8 224
 
5.1%
216
 
4.9%

소재지면적
Real number (ℝ)

ZEROS 

Distinct385
Distinct (%)69.5%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean28.814224
Minimum0
Maximum150
Zeros7
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:41.195705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.073
Q114.1875
median20.635
Q335.7075
95-th percentile82.28
Maximum150
Range150
Interquartile range (IQR)21.52

Descriptive statistics

Standard deviation23.384514
Coefficient of variation (CV)0.81156148
Kurtosis4.7101816
Mean28.814224
Median Absolute Deviation (MAD)8.685
Skewness1.9939931
Sum15963.08
Variance546.83549
MonotonicityNot monotonic
2024-05-11T15:50:41.488026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 14
 
2.5%
10.0 13
 
2.3%
0.0 7
 
1.3%
50.0 7
 
1.3%
15.0 7
 
1.3%
18.6 6
 
1.1%
16.5 6
 
1.1%
22.5 5
 
0.9%
26.0 5
 
0.9%
26.4 5
 
0.9%
Other values (375) 479
86.3%
ValueCountFrequency (%)
0.0 7
1.3%
3.6 1
 
0.2%
4.0 1
 
0.2%
5.0 2
 
0.4%
6.0 3
0.5%
6.2 1
 
0.2%
6.5 1
 
0.2%
6.6 4
0.7%
7.0 3
0.5%
7.03 1
 
0.2%
ValueCountFrequency (%)
150.0 1
0.2%
148.7 1
0.2%
135.0 1
0.2%
125.0 2
0.4%
115.0 1
0.2%
109.0 1
0.2%
100.0 1
0.2%
99.1 2
0.4%
99.0 2
0.4%
95.35 1
0.2%

소재지우편번호
Text

Distinct97
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:50:42.017510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.036036
Min length6

Characters and Unicode

Total characters3350
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)4.7%

Sample

1st row133858
2nd row133837
3rd row133801
4th row133881
5th row133867
ValueCountFrequency (%)
133882 24
 
4.3%
133858 22
 
4.0%
133801 19
 
3.4%
133832 18
 
3.2%
133834 16
 
2.9%
133850 16
 
2.9%
133812 16
 
2.9%
133803 15
 
2.7%
133819 15
 
2.7%
133831 14
 
2.5%
Other values (87) 380
68.5%
2024-05-11T15:50:42.657240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1240
37.0%
1 692
20.7%
8 634
18.9%
0 169
 
5.0%
2 165
 
4.9%
5 118
 
3.5%
4 98
 
2.9%
6 74
 
2.2%
7 73
 
2.2%
9 67
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3330
99.4%
Dash Punctuation 20
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1240
37.2%
1 692
20.8%
8 634
19.0%
0 169
 
5.1%
2 165
 
5.0%
5 118
 
3.5%
4 98
 
2.9%
6 74
 
2.2%
7 73
 
2.2%
9 67
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1240
37.0%
1 692
20.7%
8 634
18.9%
0 169
 
5.0%
2 165
 
4.9%
5 118
 
3.5%
4 98
 
2.9%
6 74
 
2.2%
7 73
 
2.2%
9 67
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1240
37.0%
1 692
20.7%
8 634
18.9%
0 169
 
5.0%
2 165
 
4.9%
5 118
 
3.5%
4 98
 
2.9%
6 74
 
2.2%
7 73
 
2.2%
9 67
 
2.0%

지번주소
Text

Distinct448
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:50:43.073913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.045045
Min length17

Characters and Unicode

Total characters13900
Distinct characters167
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

Unique376 ?
Unique (%)67.7%

Sample

1st row서울특별시 성동구 하왕십리동 989-1번지
2nd row서울특별시 성동구 송정동 73-1012번지
3rd row서울특별시 성동구 금호동1가 586-1번지
4th row서울특별시 성동구 홍익동 422-0번지
5th row서울특별시 성동구 행당동 293-2번지
ValueCountFrequency (%)
서울특별시 555
23.0%
성동구 554
23.0%
성수동2가 99
 
4.1%
성수동1가 60
 
2.5%
행당동 58
 
2.4%
마장동 46
 
1.9%
하왕십리동 41
 
1.7%
옥수동 39
 
1.6%
용답동 37
 
1.5%
도선동 30
 
1.2%
Other values (535) 894
37.0%
2024-05-11T15:50:43.756438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2379
17.1%
동 1139
 
8.2%
성 726
 
5.2%
시 561
 
4.0%
서 560
 
4.0%
구 558
 
4.0%
울 558
 
4.0%
특 555
 
4.0%
별 555
 
4.0%
지 554
 
4.0%
Other values (157) 5755
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8192
58.9%
Decimal Number 2770
 
19.9%
Space Separator 2379
 
17.1%
Dash Punctuation 494
 
3.6%
Open Punctuation 19
 
0.1%
Close Punctuation 19
 
0.1%
Uppercase Letter 16
 
0.1%
Other Punctuation 9
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1139
13.9%
성 726
 
8.9%
시 561
 
6.8%
서 560
 
6.8%
구 558
 
6.8%
울 558
 
6.8%
특 555
 
6.8%
별 555
 
6.8%
지 554
 
6.8%
번 501
 
6.1%
Other values (134) 1925
23.5%
Decimal Number
ValueCountFrequency (%)
1 542
19.6%
2 452
16.3%
3 315
11.4%
9 242
8.7%
0 232
8.4%
5 219
7.9%
6 211
 
7.6%
4 199
 
7.2%
8 189
 
6.8%
7 169
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
37.5%
B 5
31.2%
T 2
 
12.5%
P 2
 
12.5%
D 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
/ 1
 
11.1%
@ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8192
58.9%
Common 5690
40.9%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1139
13.9%
성 726
 
8.9%
시 561
 
6.8%
서 560
 
6.8%
구 558
 
6.8%
울 558
 
6.8%
특 555
 
6.8%
별 555
 
6.8%
지 554
 
6.8%
번 501
 
6.1%
Other values (134) 1925
23.5%
Common
ValueCountFrequency (%)
2379
41.8%
1 542
 
9.5%
- 494
 
8.7%
2 452
 
7.9%
3 315
 
5.5%
9 242
 
4.3%
0 232
 
4.1%
5 219
 
3.8%
6 211
 
3.7%
4 199
 
3.5%
Other values (7) 405
 
7.1%
Latin
ValueCountFrequency (%)
A 6
33.3%
B 5
27.8%
T 2
 
11.1%
P 2
 
11.1%
b 2
 
11.1%
D 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8192
58.9%
ASCII 5708
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2379
41.7%
1 542
 
9.5%
- 494
 
8.7%
2 452
 
7.9%
3 315
 
5.5%
9 242
 
4.2%
0 232
 
4.1%
5 219
 
3.8%
6 211
 
3.7%
4 199
 
3.5%
Other values (13) 423
 
7.4%
Hangul
ValueCountFrequency (%)
동 1139
13.9%
성 726
 
8.9%
시 561
 
6.8%
서 560
 
6.8%
구 558
 
6.8%
울 558
 
6.8%
특 555
 
6.8%
별 555
 
6.8%
지 554
 
6.8%
번 501
 
6.1%
Other values (134) 1925
23.5%

도로명주소
Text

MISSING 

Distinct146
Distinct (%)98.6%
Missing407
Missing (%)73.3%
Memory size4.5 KiB
2024-05-11T15:50:44.294634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length32.371622
Min length22

Characters and Unicode

Total characters4791
Distinct characters157
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

Unique144 ?
Unique (%)97.3%

Sample

1st row서울특별시 성동구 무학로12길 2 (홍익동, 422 지상1층)
2nd row서울특별시 성동구 무수막길 86 (금호동2가,1층)
3rd row서울특별시 성동구 동호로2길 24 (금호동4가)
4th row서울특별시 성동구 행당로17길 42 (하왕십리동)
5th row서울특별시 성동구 동호로 21, 옥수역 (옥수동)
ValueCountFrequency (%)
서울특별시 148
 
16.5%
성동구 147
 
16.4%
1층 32
 
3.6%
성수동2가 23
 
2.6%
성수동1가 16
 
1.8%
하왕십리동 15
 
1.7%
독서당로 14
 
1.6%
용답동 11
 
1.2%
행당동 10
 
1.1%
옥수동 10
 
1.1%
Other values (294) 473
52.6%
2024-05-11T15:50:45.434596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
751
 
15.7%
동 331
 
6.9%
1 237
 
4.9%
성 212
 
4.4%
서 167
 
3.5%
( 157
 
3.3%
) 157
 
3.3%
시 155
 
3.2%
울 152
 
3.2%
특 148
 
3.1%
Other values (147) 2324
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2816
58.8%
Space Separator 751
 
15.7%
Decimal Number 745
 
15.5%
Open Punctuation 157
 
3.3%
Close Punctuation 157
 
3.3%
Other Punctuation 119
 
2.5%
Dash Punctuation 38
 
0.8%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 331
 
11.8%
성 212
 
7.5%
서 167
 
5.9%
시 155
 
5.5%
울 152
 
5.4%
특 148
 
5.3%
별 148
 
5.3%
구 148
 
5.3%
길 108
 
3.8%
로 92
 
3.3%
Other values (129) 1155
41.0%
Decimal Number
ValueCountFrequency (%)
1 237
31.8%
2 129
17.3%
3 70
 
9.4%
4 61
 
8.2%
0 57
 
7.7%
6 44
 
5.9%
7 43
 
5.8%
5 42
 
5.6%
8 38
 
5.1%
9 24
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 118
99.2%
@ 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
A 5
62.5%
B 3
37.5%
Space Separator
ValueCountFrequency (%)
751
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2816
58.8%
Common 1967
41.1%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 331
 
11.8%
성 212
 
7.5%
서 167
 
5.9%
시 155
 
5.5%
울 152
 
5.4%
특 148
 
5.3%
별 148
 
5.3%
구 148
 
5.3%
길 108
 
3.8%
로 92
 
3.3%
Other values (129) 1155
41.0%
Common
ValueCountFrequency (%)
751
38.2%
1 237
 
12.0%
( 157
 
8.0%
) 157
 
8.0%
2 129
 
6.6%
, 118
 
6.0%
3 70
 
3.6%
4 61
 
3.1%
0 57
 
2.9%
6 44
 
2.2%
Other values (6) 186
 
9.5%
Latin
ValueCountFrequency (%)
A 5
62.5%
B 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2816
58.8%
ASCII 1975
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
751
38.0%
1 237
 
12.0%
( 157
 
7.9%
) 157
 
7.9%
2 129
 
6.5%
, 118
 
6.0%
3 70
 
3.5%
4 61
 
3.1%
0 57
 
2.9%
6 44
 
2.2%
Other values (8) 194
 
9.8%
Hangul
ValueCountFrequency (%)
동 331
 
11.8%
성 212
 
7.5%
서 167
 
5.9%
시 155
 
5.5%
울 152
 
5.4%
특 148
 
5.3%
별 148
 
5.3%
구 148
 
5.3%
길 108
 
3.8%
로 92
 
3.3%
Other values (129) 1155
41.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)44.7%
Missing414
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean4747.8794
Minimum4571
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:45.718671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4571
5-th percentile4706
Q14714
median4737
Q34781
95-th percentile4804
Maximum4808
Range237
Interquartile range (IQR)67

Descriptive statistics

Standard deviation38.20667
Coefficient of variation (CV)0.008047102
Kurtosis1.5517329
Mean4747.8794
Median Absolute Deviation (MAD)28
Skewness-0.42658228
Sum669451
Variance1459.7496
MonotonicityNot monotonic
2024-05-11T15:50:46.002067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4710 13
 
2.3%
4775 6
 
1.1%
4718 5
 
0.9%
4714 4
 
0.7%
4704 4
 
0.7%
4804 4
 
0.7%
4808 4
 
0.7%
4745 4
 
0.7%
4737 4
 
0.7%
4708 4
 
0.7%
Other values (53) 89
 
16.0%
(Missing) 414
74.6%
ValueCountFrequency (%)
4571 1
 
0.2%
4700 1
 
0.2%
4701 1
 
0.2%
4704 4
 
0.7%
4706 1
 
0.2%
4707 3
 
0.5%
4708 4
 
0.7%
4709 3
 
0.5%
4710 13
2.3%
4713 2
 
0.4%
ValueCountFrequency (%)
4808 4
0.7%
4805 2
0.4%
4804 4
0.7%
4803 1
 
0.2%
4801 3
0.5%
4800 2
0.4%
4799 2
0.4%
4797 1
 
0.2%
4796 1
 
0.2%
4795 1
 
0.2%

사업장명
Text

Distinct422
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-05-11T15:50:46.677716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length3.6900901
Min length1

Characters and Unicode

Total characters2048
Distinct characters286
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

Unique335 ?
Unique (%)60.4%

Sample

1st row영일
2nd row신미
3rd row미도
4th row남미
5th row박병도
ValueCountFrequency (%)
옥수 8
 
1.4%
우성 6
 
1.0%
금성 5
 
0.9%
대우 5
 
0.9%
현대이용 5
 
0.9%
이용원 5
 
0.9%
미도 4
 
0.7%
개미 4
 
0.7%
바버샵 4
 
0.7%
현대 4
 
0.7%
Other values (424) 531
91.4%
2024-05-11T15:50:47.525197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 214
 
10.4%
용 175
 
8.5%
원 98
 
4.8%
성 80
 
3.9%
대 63
 
3.1%
우 50
 
2.4%
수 48
 
2.3%
발 40
 
2.0%
동 36
 
1.8%
신 35
 
1.7%
Other values (276) 1209
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1932
94.3%
Uppercase Letter 38
 
1.9%
Space Separator 27
 
1.3%
Lowercase Letter 20
 
1.0%
Decimal Number 14
 
0.7%
Close Punctuation 8
 
0.4%
Open Punctuation 8
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 214
 
11.1%
용 175
 
9.1%
원 98
 
5.1%
성 80
 
4.1%
대 63
 
3.3%
우 50
 
2.6%
수 48
 
2.5%
발 40
 
2.1%
동 36
 
1.9%
신 35
 
1.8%
Other values (239) 1093
56.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
18.4%
O 4
10.5%
R 4
10.5%
K 3
7.9%
A 3
7.9%
S 3
7.9%
D 3
7.9%
E 2
 
5.3%
U 2
 
5.3%
L 2
 
5.3%
Other values (5) 5
13.2%
Lowercase Letter
ValueCountFrequency (%)
r 4
20.0%
s 2
10.0%
a 2
10.0%
p 2
10.0%
o 2
10.0%
h 2
10.0%
e 2
10.0%
b 2
10.0%
n 1
 
5.0%
i 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
4 4
28.6%
0 2
14.3%
3 2
14.3%
9 2
14.3%
7 1
 
7.1%
1 1
 
7.1%
8 1
 
7.1%
2 1
 
7.1%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1932
94.3%
Common 58
 
2.8%
Latin 58
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 214
 
11.1%
용 175
 
9.1%
원 98
 
5.1%
성 80
 
4.1%
대 63
 
3.3%
우 50
 
2.6%
수 48
 
2.5%
발 40
 
2.1%
동 36
 
1.9%
신 35
 
1.8%
Other values (239) 1093
56.6%
Latin
ValueCountFrequency (%)
B 7
 
12.1%
O 4
 
6.9%
R 4
 
6.9%
r 4
 
6.9%
K 3
 
5.2%
A 3
 
5.2%
S 3
 
5.2%
D 3
 
5.2%
s 2
 
3.4%
a 2
 
3.4%
Other values (15) 23
39.7%
Common
ValueCountFrequency (%)
27
46.6%
) 8
 
13.8%
( 8
 
13.8%
4 4
 
6.9%
0 2
 
3.4%
3 2
 
3.4%
9 2
 
3.4%
7 1
 
1.7%
' 1
 
1.7%
1 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1932
94.3%
ASCII 116
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 214
 
11.1%
용 175
 
9.1%
원 98
 
5.1%
성 80
 
4.1%
대 63
 
3.3%
우 50
 
2.6%
수 48
 
2.5%
발 40
 
2.1%
동 36
 
1.9%
신 35
 
1.8%
Other values (239) 1093
56.6%
ASCII
ValueCountFrequency (%)
27
23.3%
) 8
 
6.9%
( 8
 
6.9%
B 7
 
6.0%
4 4
 
3.4%
O 4
 
3.4%
R 4
 
3.4%
r 4
 
3.4%
K 3
 
2.6%
A 3
 
2.6%
Other values (27) 44
37.9%

최종수정일자
Date

Distinct303
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum1999-04-28 00:00:00
Maximum2024-05-03 11:36:43
2024-05-11T15:50:47.756326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:48.024035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
I
493 
U
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 493
88.8%
U 62
 
11.2%

Length

2024-05-11T15:50:48.283844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:48.516071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 493
88.8%
u 62
 
11.2%

데이터갱신일자
Date

Distinct67
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:50:48.740952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:50:49.093511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
일반이용업
555 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 555
100.0%

Length

2024-05-11T15:50:49.337975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:49.513266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 555
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)65.3%
Missing68
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean203488.16
Minimum200812.99
Maximum206209.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:49.703265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200812.99
5-th percentile201410.09
Q1202362.91
median203218.4
Q3204659.53
95-th percentile205784.38
Maximum206209.28
Range5396.2882
Interquartile range (IQR)2296.6234

Descriptive statistics

Standard deviation1354.9208
Coefficient of variation (CV)0.0066584748
Kurtosis-1.0357109
Mean203488.16
Median Absolute Deviation (MAD)1068.8558
Skewness0.1069003
Sum99098735
Variance1835810.4
MonotonicityNot monotonic
2024-05-11T15:50:49.950001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205784.868811814 8
 
1.4%
203247.412039841 6
 
1.1%
201176.434918 6
 
1.1%
202326.470897024 6
 
1.1%
201766.681912935 5
 
0.9%
202665.642323691 5
 
0.9%
205615.220066837 5
 
0.9%
204870.305596321 5
 
0.9%
205701.564885453 5
 
0.9%
203185.472000533 4
 
0.7%
Other values (308) 432
77.8%
(Missing) 68
 
12.3%
ValueCountFrequency (%)
200812.992681398 1
 
0.2%
200881.291752147 1
 
0.2%
200896.532906303 2
 
0.4%
200951.206580662 1
 
0.2%
200967.537033206 1
 
0.2%
200992.431390651 2
 
0.4%
201028.969973223 1
 
0.2%
201040.822233 1
 
0.2%
201057.632394 1
 
0.2%
201176.434918 6
1.1%
ValueCountFrequency (%)
206209.280864162 2
0.4%
206052.620745513 1
 
0.2%
206033.909589487 1
 
0.2%
206020.07784568 1
 
0.2%
205919.820235904 1
 
0.2%
205917.426892152 1
 
0.2%
205912.571031198 1
 
0.2%
205861.778324251 1
 
0.2%
205837.640591417 3
0.5%
205834.097987543 2
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct318
Distinct (%)65.3%
Missing68
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean450117.32
Minimum448236.9
Maximum452091.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:50.202890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.9
5-th percentile448446.96
Q1449237.53
median449903.03
Q3451120.45
95-th percentile451905.48
Maximum452091.22
Range3854.3234
Interquartile range (IQR)1882.9156

Descriptive statistics

Standard deviation1098.4427
Coefficient of variation (CV)0.0024403477
Kurtosis-1.2597287
Mean450117.32
Median Absolute Deviation (MAD)980.48971
Skewness0.09940283
Sum2.1920713 × 108
Variance1206576.5
MonotonicityNot monotonic
2024-05-11T15:50:50.467335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450883.524006222 8
 
1.4%
452076.36180744 6
 
1.1%
449429.725363 6
 
1.1%
449954.683065141 6
 
1.1%
450005.154575334 5
 
0.9%
449864.878502796 5
 
0.9%
449017.157618955 5
 
0.9%
448333.459258545 5
 
0.9%
449237.534296767 5
 
0.9%
452014.305822436 4
 
0.7%
Other values (308) 432
77.8%
(Missing) 68
 
12.3%
ValueCountFrequency (%)
448236.898652205 1
 
0.2%
448266.234571726 3
0.5%
448301.927898322 2
 
0.4%
448333.459258545 5
0.9%
448355.586361386 1
 
0.2%
448357.858518612 1
 
0.2%
448361.103638303 2
 
0.4%
448365.618317604 1
 
0.2%
448384.274562095 1
 
0.2%
448386.387429443 1
 
0.2%
ValueCountFrequency (%)
452091.222095459 2
 
0.4%
452076.36180744 6
1.1%
452041.559037331 1
 
0.2%
452028.850449526 1
 
0.2%
452025.526057499 1
 
0.2%
452019.47860894 1
 
0.2%
452014.305822436 4
0.7%
452006.304255755 2
 
0.4%
451997.461326931 1
 
0.2%
451987.097130954 1
 
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
일반이용업
528 
<NA>
 
27

Length

Max length5
Median length5
Mean length4.9513514
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 528
95.1%
<NA> 27
 
4.9%

Length

2024-05-11T15:50:50.723385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:50.918415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 528
95.1%
na 27
 
4.9%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.8%
Missing165
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean0.8
Minimum0
Maximum25
Zeros331
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:51.092750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5444127
Coefficient of variation (CV)3.1805159
Kurtosis31.60509
Mean0.8
Median Absolute Deviation (MAD)0
Skewness4.917995
Sum312
Variance6.474036
MonotonicityNot monotonic
2024-05-11T15:50:51.329867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 331
59.6%
4 13
 
2.3%
3 9
 
1.6%
2 8
 
1.4%
5 7
 
1.3%
1 5
 
0.9%
6 5
 
0.9%
8 2
 
0.4%
10 2
 
0.4%
14 2
 
0.4%
Other values (5) 6
 
1.1%
(Missing) 165
29.7%
ValueCountFrequency (%)
0 331
59.6%
1 5
 
0.9%
2 8
 
1.4%
3 9
 
1.6%
4 13
 
2.3%
5 7
 
1.3%
6 5
 
0.9%
7 1
 
0.2%
8 2
 
0.4%
9 1
 
0.2%
ValueCountFrequency (%)
25 1
 
0.2%
18 1
 
0.2%
14 2
 
0.4%
12 2
 
0.4%
10 2
 
0.4%
9 1
 
0.2%
8 2
 
0.4%
7 1
 
0.2%
6 5
0.9%
5 7
1.3%

건물지하층수
Categorical

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
0
334 
<NA>
170 
1
36 
2
 
9
4
 
4

Length

Max length4
Median length1
Mean length1.9189189
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 334
60.2%
<NA> 170
30.6%
1 36
 
6.5%
2 9
 
1.6%
4 4
 
0.7%
3 2
 
0.4%

Length

2024-05-11T15:50:51.551646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:51.726932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 334
60.2%
na 170
30.6%
1 36
 
6.5%
2 9
 
1.6%
4 4
 
0.7%
3 2
 
0.4%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.8%
Missing213
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean0.23976608
Minimum0
Maximum6
Zeros300
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:51.877210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.82898231
Coefficient of variation (CV)3.4574628
Kurtosis24.732376
Mean0.23976608
Median Absolute Deviation (MAD)0
Skewness4.6846182
Sum82
Variance0.68721168
MonotonicityNot monotonic
2024-05-11T15:50:52.056985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 300
54.1%
1 26
 
4.7%
2 5
 
0.9%
4 4
 
0.7%
3 4
 
0.7%
6 3
 
0.5%
(Missing) 213
38.4%
ValueCountFrequency (%)
0 300
54.1%
1 26
 
4.7%
2 5
 
0.9%
3 4
 
0.7%
4 4
 
0.7%
6 3
 
0.5%
ValueCountFrequency (%)
6 3
 
0.5%
4 4
 
0.7%
3 4
 
0.7%
2 5
 
0.9%
1 26
 
4.7%
0 300
54.1%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)12.2%
Missing506
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean0.93877551
Minimum0
Maximum6
Zeros21
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:52.251545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3.6
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2484684
Coefficient of variation (CV)1.3298903
Kurtosis5.4324939
Mean0.93877551
Median Absolute Deviation (MAD)1
Skewness2.1290982
Sum46
Variance1.5586735
MonotonicityNot monotonic
2024-05-11T15:50:52.445344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
 
3.8%
1 20
 
3.6%
2 3
 
0.5%
3 2
 
0.4%
4 2
 
0.4%
6 1
 
0.2%
(Missing) 506
91.2%
ValueCountFrequency (%)
0 21
3.8%
1 20
3.6%
2 3
 
0.5%
3 2
 
0.4%
4 2
 
0.4%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
4 2
 
0.4%
3 2
 
0.4%
2 3
 
0.5%
1 20
3.6%
0 21
3.8%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
0
305 
<NA>
212 
1
34 
2
 
4

Length

Max length4
Median length1
Mean length2.1459459
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 305
55.0%
<NA> 212
38.2%
1 34
 
6.1%
2 4
 
0.7%

Length

2024-05-11T15:50:52.719789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:52.932138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 305
55.0%
na 212
38.2%
1 34
 
6.1%
2 4
 
0.7%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
499 
1
 
29
0
 
24
2
 
3

Length

Max length4
Median length4
Mean length3.6972973
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 499
89.9%
1 29
 
5.2%
0 24
 
4.3%
2 3
 
0.5%

Length

2024-05-11T15:50:53.167153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:53.361956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 499
89.9%
1 29
 
5.2%
0 24
 
4.3%
2 3
 
0.5%

한실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
0
351 
<NA>
204 

Length

Max length4
Median length1
Mean length2.1027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 351
63.2%
<NA> 204
36.8%

Length

2024-05-11T15:50:53.571102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:53.772714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 351
63.2%
na 204
36.8%

양실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
0
351 
<NA>
204 

Length

Max length4
Median length1
Mean length2.1027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 351
63.2%
<NA> 204
36.8%

Length

2024-05-11T15:50:53.927779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:54.093197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 351
63.2%
na 204
36.8%

욕실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
0
351 
<NA>
204 

Length

Max length4
Median length1
Mean length2.1027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 351
63.2%
<NA> 204
36.8%

Length

2024-05-11T15:50:54.279074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:54.445698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 351
63.2%
na 204
36.8%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing32
Missing (%)5.8%
Memory size1.2 KiB
False
523 
(Missing)
 
32
ValueCountFrequency (%)
False 523
94.2%
(Missing) 32
 
5.8%
2024-05-11T15:50:54.573950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.9%
Missing67
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean3.8258197
Minimum0
Maximum196
Zeros62
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-05-11T15:50:54.712960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum196
Range196
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.0597146
Coefficient of variation (CV)2.3680454
Kurtosis417.86538
Mean3.8258197
Median Absolute Deviation (MAD)1
Skewness19.688056
Sum1867
Variance82.078428
MonotonicityNot monotonic
2024-05-11T15:50:54.909289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 131
23.6%
2 115
20.7%
0 62
11.2%
4 54
9.7%
5 27
 
4.9%
7 27
 
4.9%
6 20
 
3.6%
8 17
 
3.1%
9 12
 
2.2%
10 10
 
1.8%
Other values (4) 13
 
2.3%
(Missing) 67
12.1%
ValueCountFrequency (%)
0 62
11.2%
1 9
 
1.6%
2 115
20.7%
3 131
23.6%
4 54
9.7%
5 27
 
4.9%
6 20
 
3.6%
7 27
 
4.9%
8 17
 
3.1%
9 12
 
2.2%
ValueCountFrequency (%)
196 1
 
0.2%
12 2
 
0.4%
11 1
 
0.2%
10 10
 
1.8%
9 12
 
2.2%
8 17
 
3.1%
7 27
4.9%
6 20
 
3.6%
5 27
4.9%
4 54
9.7%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing555
Missing (%)100.0%
Memory size5.0 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
498 
임대
53 
자가
 
4

Length

Max length4
Median length4
Mean length3.7945946
Min length2

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> 498
89.7%
임대 53
 
9.5%
자가 4
 
0.7%

Length

2024-05-11T15:50:55.108788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:55.268229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 498
89.7%
임대 53
 
9.5%
자가 4
 
0.7%

세탁기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
485 
0
70 

Length

Max length4
Median length4
Mean length3.6216216
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 485
87.4%
0 70
 
12.6%

Length

2024-05-11T15:50:55.459080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:55.621033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
87.4%
0 70
 
12.6%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
524 
0
 
29
1
 
2

Length

Max length4
Median length4
Mean length3.8324324
Min length1

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> 524
94.4%
0 29
 
5.2%
1 2
 
0.4%

Length

2024-05-11T15:50:55.784895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:55.970921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 524
94.4%
0 29
 
5.2%
1 2
 
0.4%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
522 
0
 
29
1
 
4

Length

Max length4
Median length4
Mean length3.8216216
Min length1

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> 522
94.1%
0 29
 
5.2%
1 4
 
0.7%

Length

2024-05-11T15:50:56.125668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:56.664722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 522
94.1%
0 29
 
5.2%
1 4
 
0.7%

회수건조수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
493 
0
62 

Length

Max length4
Median length4
Mean length3.6648649
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 493
88.8%
0 62
 
11.2%

Length

2024-05-11T15:50:56.848651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:57.018362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 493
88.8%
0 62
 
11.2%

침대수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
<NA>
494 
0
59 
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.6702703
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 494
89.0%
0 59
 
10.6%
3 1
 
0.2%
1 1
 
0.2%

Length

2024-05-11T15:50:57.187891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:50:57.365186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 494
89.0%
0 59
 
10.6%
3 1
 
0.2%
1 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing27
Missing (%)4.9%
Memory size1.2 KiB
False
528 
(Missing)
 
27
ValueCountFrequency (%)
False 528
95.1%
(Missing) 27
 
4.9%
2024-05-11T15:50:57.484054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030300003030000-203-1961-0127719610812<NA>3폐업2폐업20010529<NA><NA><NA>020295988627.2133858서울특별시 성동구 하왕십리동 989-1번지<NA><NA>영일2002-01-07 00:00:00I2018-08-31 23:59:59.0일반이용업202634.501599451177.236568일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
130300003030000-203-1964-0111119640803<NA>3폐업2폐업20060818<NA><NA><NA>020465891822.64133837서울특별시 성동구 송정동 73-1012번지<NA><NA>신미2006-08-17 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
230300003030000-203-1966-0041519660903<NA>3폐업2폐업20090518<NA><NA><NA>022291113322.5133801서울특별시 성동구 금호동1가 586-1번지<NA><NA>미도2003-02-17 00:00:00I2018-08-31 23:59:59.0일반이용업202115.280644450041.418941일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
330300003030000-203-1966-0042819660319<NA>1영업/정상1영업<NA><NA><NA><NA>022294096023.1133881서울특별시 성동구 홍익동 422-0번지서울특별시 성동구 무학로12길 2 (홍익동, 422 지상1층)4706남미2020-03-24 09:57:09U2020-03-26 02:40:00.0일반이용업202610.484512451654.672917일반이용업001100000N4<NA><NA><NA><NA>0<NA><NA>00N
430300003030000-203-1967-0039919670629<NA>3폐업2폐업20020126<NA><NA><NA>022298554820.77133867서울특별시 성동구 행당동 293-2번지<NA><NA>박병도2002-02-05 00:00:00I2018-08-31 23:59:59.0일반이용업202890.439698450842.895271일반이용업000<NA>0<NA>000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
530300003030000-203-1967-0043319670620<NA>3폐업2폐업20020401<NA><NA><NA>020294154324.7133817서울특별시 성동구 사근동 210-4번지<NA><NA>대도2002-04-01 00:00:00I2018-08-31 23:59:59.0일반이용업204007.343561450983.197108일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
630300003030000-203-1968-0038819680627<NA>3폐업2폐업20161202<NA><NA><NA>022237300715.6133803서울특별시 성동구 금호동2가 523번지 1층서울특별시 성동구 무수막길 86 (금호동2가,1층)4728광명2009-01-12 15:17:17I2018-08-31 23:59:59.0일반이용업201739.696523450144.144766일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
730300003030000-203-1968-0039719680116<NA>3폐업2폐업20150828<NA><NA><NA>022296091615.96133809서울특별시 성동구 금호동4가 1220-1번지서울특별시 성동구 동호로2길 24 (금호동4가)4725서경2013-10-22 18:24:05I2018-08-31 23:59:59.0일반이용업201576.833434449507.516211일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
830300003030000-203-1968-0119119680716<NA>3폐업2폐업20101220<NA><NA><NA>020464345016.63133924서울특별시 성동구 성수동1가 656-1069번지<NA><NA>성미2010-10-29 17:55:20I2018-08-31 23:59:59.0일반이용업203891.116792449436.721301일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
930300003030000-203-1969-0039419691203<NA>3폐업2폐업20120424<NA><NA><NA>022298339714.06133807서울특별시 성동구 금호동3가 1351-186번지<NA><NA>형제2003-02-18 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
54530300003030000-203-2022-0000120220413<NA>1영업/정상1영업<NA><NA><NA><NA><NA>58.33133805서울특별시 성동구 금호동3가 622-1서울특별시 성동구 무수막길 41-4, 1층 (금호동3가)4729고도(GODO)2022-04-13 14:01:48I2021-12-03 23:05:00.0일반이용업201976.244695449836.898889<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54630300003030000-203-2022-0000220220517<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0133858서울특별시 성동구 하왕십리동 986-95 무학유치원서울특별시 성동구 무학봉15가길 4, 1층 (하왕십리동)4710로커빌리 바버샵2022-05-17 12:13:49I2021-12-04 23:09:00.0일반이용업202641.671342451028.868308<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54730300003030000-203-2022-0000320220525<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.45133828서울특별시 성동구 성수동2가 355-1서울특별시 성동구 둘레9길 16-1, 1층 (성수동2가)4775마춘바버샵2022-05-25 13:46:39I2021-12-04 22:08:00.0일반이용업204445.931083448357.858519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54830300003030000-203-2022-0000420220920<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.5133070서울특별시 성동구 행당동 347 행당동 대림아파트서울특별시 성동구 행당로 87, 행당동 대림아파트 리빙프라자동 3층 345호 (행당동)4713헤어코스2022-09-20 11:10:48I2021-12-08 22:02:00.0일반이용업202326.503044450625.584227<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54930300003030000-203-2022-0000520220927<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6133858서울특별시 성동구 하왕십리동 990 한신무학아파트서울특별시 성동구 왕십리로31나길 18, 6동 지2층 (하왕십리동, 한신무학아파트)4710한신이발관2022-09-27 12:09:30I2021-12-08 22:09:00.0일반이용업202437.643551451119.695239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55030300003030000-203-2023-000012023-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.92133-778서울특별시 성동구 금호동1가 632 벽산아파트(종합사회복지관상가)서울특별시 성동구 행당로6길 2, 벽산아파트(종합사회복지관상가) 1층 105호 (금호동1가)4718수 이용원2023-03-21 15:12:40I2022-12-02 22:03:00.0일반이용업202213.544981450230.784376<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55130300003030000-203-2023-000022023-06-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.8133-872서울특별시 성동구 행당동 299-7 예지미술피아노학원서울특별시 성동구 왕십리로21길 30, 1층 (행당동)4714중앙이발관2023-06-22 10:21:26I2022-12-05 22:04:00.0일반이용업202732.968303450889.439121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55230300003030000-203-2023-000032023-12-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>18.0133-822서울특별시 성동구 성수동1가 13-395서울특별시 성동구 상원12길 20-14, 2층 (성수동1가)4791언코우트2023-12-13 13:48:25I2022-11-01 23:05:00.0일반이용업204332.25004449786.557948<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55330300003030000-203-2023-000042023-12-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>41.28133-835서울특별시 성동구 성수동2가 314-13 성수역 현대테라스타워서울특별시 성동구 연무장5가길 7, 성수역 현대테라스타워 1층 132호 (성수동2가)4782오클리먼33바버샵 성수점2023-12-27 14:06:03I2022-11-01 22:09:00.0일반이용업204669.766219449087.756734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55430300003030000-203-2024-000012024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.0133-883서울특별시 성동구 도선동 329-6서울특별시 성동구 무학로4길 9, 1층 (도선동)4707오드볼2024-03-27 09:32:54I2023-12-02 21:00:00.0일반이용업202754.954529451401.123278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>