Overview

Dataset statistics

Number of variables47
Number of observations501
Missing cells4894
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory198.3 KiB
Average record size in memory405.3 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric7
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17946/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (93.3%)Imbalance
위생업태명 is highly imbalanced (70.5%)Imbalance
건물소유구분명 is highly imbalanced (64.5%)Imbalance
여성종사자수 is highly imbalanced (75.6%)Imbalance
남성종사자수 is highly imbalanced (69.4%)Imbalance
인허가취소일자 has 501 (100.0%) missing valuesMissing
폐업일자 has 75 (15.0%) missing valuesMissing
휴업시작일자 has 501 (100.0%) missing valuesMissing
휴업종료일자 has 501 (100.0%) missing valuesMissing
재개업일자 has 501 (100.0%) missing valuesMissing
전화번호 has 104 (20.8%) missing valuesMissing
도로명주소 has 330 (65.9%) missing valuesMissing
도로명우편번호 has 331 (66.1%) missing valuesMissing
좌표정보(X) has 53 (10.6%) missing valuesMissing
좌표정보(Y) has 53 (10.6%) missing valuesMissing
건물지상층수 has 153 (30.5%) missing valuesMissing
건물지하층수 has 158 (31.5%) missing valuesMissing
발한실여부 has 42 (8.4%) missing valuesMissing
좌석수 has 48 (9.6%) missing valuesMissing
조건부허가신고사유 has 501 (100.0%) missing valuesMissing
조건부허가시작일자 has 501 (100.0%) missing valuesMissing
조건부허가종료일자 has 501 (100.0%) missing valuesMissing
다중이용업소여부 has 40 (8.0%) 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 35 (7.0%) zerosZeros
건물지상층수 has 277 (55.3%) zerosZeros
건물지하층수 has 289 (57.7%) zerosZeros
좌석수 has 22 (4.4%) zerosZeros

Reproduction

Analysis started2024-04-06 10:14:01.069177
Analysis finished2024-04-06 10:14:02.528433
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3190000
501 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 501
100.0%

Length

2024-04-06T19:14:02.628931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:02.796217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 501
100.0%

관리번호
Text

UNIQUE 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:14:03.111878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters11022
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

Unique501 ?
Unique (%)100.0%

Sample

1st row3190000-203-1904-01283
2nd row3190000-203-1966-01205
3rd row3190000-203-1969-01215
4th row3190000-203-1969-01275
5th row3190000-203-1970-00244
ValueCountFrequency (%)
3190000-203-1904-01283 1
 
0.2%
3190000-203-2000-01550 1
 
0.2%
3190000-203-2002-00011 1
 
0.2%
3190000-203-2002-00010 1
 
0.2%
3190000-203-2002-00009 1
 
0.2%
3190000-203-2002-00008 1
 
0.2%
3190000-203-2002-00007 1
 
0.2%
3190000-203-2002-00006 1
 
0.2%
3190000-203-2002-00005 1
 
0.2%
3190000-203-2002-00004 1
 
0.2%
Other values (491) 491
98.0%
2024-04-06T19:14:03.676135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3974
36.1%
- 1503
 
13.6%
1 1406
 
12.8%
3 1203
 
10.9%
9 1099
 
10.0%
2 1008
 
9.1%
8 214
 
1.9%
5 176
 
1.6%
4 165
 
1.5%
6 138
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9519
86.4%
Dash Punctuation 1503
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3974
41.7%
1 1406
 
14.8%
3 1203
 
12.6%
9 1099
 
11.5%
2 1008
 
10.6%
8 214
 
2.2%
5 176
 
1.8%
4 165
 
1.7%
6 138
 
1.4%
7 136
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1503
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11022
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3974
36.1%
- 1503
 
13.6%
1 1406
 
12.8%
3 1203
 
10.9%
9 1099
 
10.0%
2 1008
 
9.1%
8 214
 
1.9%
5 176
 
1.6%
4 165
 
1.5%
6 138
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3974
36.1%
- 1503
 
13.6%
1 1406
 
12.8%
3 1203
 
10.9%
9 1099
 
10.0%
2 1008
 
9.1%
8 214
 
1.9%
5 176
 
1.6%
4 165
 
1.5%
6 138
 
1.3%

인허가일자
Date

Distinct473
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1904-08-08 00:00:00
Maximum2024-03-06 00:00:00
2024-04-06T19:14:03.935053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:14:04.186947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
426 
1
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 426
85.0%
1 75
 
15.0%

Length

2024-04-06T19:14:04.443816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:04.599597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 426
85.0%
1 75
 
15.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
426 
영업/정상
75 

Length

Max length5
Median length2
Mean length2.4491018
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 426
85.0%
영업/정상 75
 
15.0%

Length

2024-04-06T19:14:04.763859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:04.941261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 426
85.0%
영업/정상 75
 
15.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2
426 
1
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 426
85.0%
1 75
 
15.0%

Length

2024-04-06T19:14:05.090395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:05.236463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 426
85.0%
1 75
 
15.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
426 
영업
75 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 426
85.0%
영업 75
 
15.0%

Length

2024-04-06T19:14:05.400983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:05.558684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 426
85.0%
영업 75
 
15.0%

폐업일자
Date

MISSING 

Distinct379
Distinct (%)89.0%
Missing75
Missing (%)15.0%
Memory size4.0 KiB
Minimum1993-01-15 00:00:00
Maximum2024-03-05 00:00:00
2024-04-06T19:14:05.743556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:14:05.970034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

전화번호
Text

MISSING 

Distinct325
Distinct (%)81.9%
Missing104
Missing (%)20.8%
Memory size4.0 KiB
2024-04-06T19:14:06.367190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9647355
Min length2

Characters and Unicode

Total characters3956
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

Unique301 ?
Unique (%)75.8%

Sample

1st row02 8145766
2nd row0208162374
3rd row02 8427863
4th row02 8129990
5th row02 8141772
ValueCountFrequency (%)
02 302
41.5%
0200000000 19
 
2.6%
00000 17
 
2.3%
0 12
 
1.6%
5838609 4
 
0.5%
5866702 4
 
0.5%
815 4
 
0.5%
5841322 3
 
0.4%
8221300 3
 
0.4%
814 3
 
0.4%
Other values (335) 357
49.0%
2024-04-06T19:14:06.990822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 853
21.6%
2 685
17.3%
8 415
10.5%
413
10.4%
1 291
 
7.4%
3 278
 
7.0%
5 273
 
6.9%
4 234
 
5.9%
6 190
 
4.8%
9 173
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3543
89.6%
Space Separator 413
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 853
24.1%
2 685
19.3%
8 415
11.7%
1 291
 
8.2%
3 278
 
7.8%
5 273
 
7.7%
4 234
 
6.6%
6 190
 
5.4%
9 173
 
4.9%
7 151
 
4.3%
Space Separator
ValueCountFrequency (%)
413
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3956
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 853
21.6%
2 685
17.3%
8 415
10.5%
413
10.4%
1 291
 
7.4%
3 278
 
7.0%
5 273
 
6.9%
4 234
 
5.9%
6 190
 
4.8%
9 173
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 853
21.6%
2 685
17.3%
8 415
10.5%
413
10.4%
1 291
 
7.4%
3 278
 
7.0%
5 273
 
6.9%
4 234
 
5.9%
6 190
 
4.8%
9 173
 
4.4%

소재지면적
Real number (ℝ)

ZEROS 

Distinct339
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.003054
Minimum0
Maximum325.56
Zeros35
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:07.225208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.6
median18.14
Q329.12
95-th percentile64.99
Maximum325.56
Range325.56
Interquartile range (IQR)18.52

Descriptive statistics

Standard deviation23.993968
Coefficient of variation (CV)0.99962148
Kurtosis51.819248
Mean24.003054
Median Absolute Deviation (MAD)8.14
Skewness5.1523788
Sum12025.53
Variance575.71051
MonotonicityNot monotonic
2024-04-06T19:14:07.479331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 35
 
7.0%
20.0 10
 
2.0%
16.5 8
 
1.6%
23.1 7
 
1.4%
10.0 7
 
1.4%
9.0 7
 
1.4%
17.0 5
 
1.0%
33.0 5
 
1.0%
18.0 4
 
0.8%
27.0 4
 
0.8%
Other values (329) 409
81.6%
ValueCountFrequency (%)
0.0 35
7.0%
1.0 1
 
0.2%
3.3 2
 
0.4%
6.0 2
 
0.4%
6.4 1
 
0.2%
6.6 3
 
0.6%
7.28 1
 
0.2%
7.37 1
 
0.2%
8.0 2
 
0.4%
8.05 4
 
0.8%
ValueCountFrequency (%)
325.56 1
0.2%
138.5 1
0.2%
125.4 1
0.2%
119.0 1
0.2%
115.5 1
0.2%
99.0 2
0.4%
97.2 1
0.2%
93.0 1
0.2%
92.4 1
0.2%
82.5 2
0.4%

소재지우편번호
Text

Distinct94
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:14:07.866893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0419162
Min length6

Characters and Unicode

Total characters3027
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

Unique32 ?
Unique (%)6.4%

Sample

1st row156862
2nd row156803
3rd row156843
4th row156060
5th row156857
ValueCountFrequency (%)
156816 19
 
3.8%
156030 18
 
3.6%
156825 17
 
3.4%
156827 15
 
3.0%
156811 15
 
3.0%
156807 14
 
2.8%
156831 13
 
2.6%
156823 12
 
2.4%
156857 12
 
2.4%
156832 12
 
2.4%
Other values (84) 354
70.7%
2024-04-06T19:14:08.450000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 662
21.9%
5 594
19.6%
6 561
18.5%
8 493
16.3%
0 208
 
6.9%
3 134
 
4.4%
4 116
 
3.8%
2 106
 
3.5%
7 90
 
3.0%
9 42
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3006
99.3%
Dash Punctuation 21
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 662
22.0%
5 594
19.8%
6 561
18.7%
8 493
16.4%
0 208
 
6.9%
3 134
 
4.5%
4 116
 
3.9%
2 106
 
3.5%
7 90
 
3.0%
9 42
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 662
21.9%
5 594
19.6%
6 561
18.5%
8 493
16.3%
0 208
 
6.9%
3 134
 
4.4%
4 116
 
3.8%
2 106
 
3.5%
7 90
 
3.0%
9 42
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 662
21.9%
5 594
19.6%
6 561
18.5%
8 493
16.3%
0 208
 
6.9%
3 134
 
4.4%
4 116
 
3.8%
2 106
 
3.5%
7 90
 
3.0%
9 42
 
1.4%

지번주소
Text

Distinct429
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:14:08.894001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length23.60479
Min length17

Characters and Unicode

Total characters11826
Distinct characters143
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

Unique371 ?
Unique (%)74.1%

Sample

1st row서울특별시 동작구 흑석동 248-73번지
2nd row서울특별시 동작구 노량진동 232-159번지
3rd row서울특별시 동작구 상도동 261-12번지
4th row서울특별시 동작구 본동 30-9번지
5th row서울특별시 동작구 흑석동 49-59번지
ValueCountFrequency (%)
서울특별시 501
23.5%
동작구 500
23.4%
사당동 142
 
6.7%
상도동 109
 
5.1%
신대방동 64
 
3.0%
노량진동 64
 
3.0%
대방동 45
 
2.1%
흑석동 44
 
2.1%
1층 20
 
0.9%
상도1동 14
 
0.7%
Other values (477) 632
29.6%
2024-04-06T19:14:09.978204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2091
17.7%
동 1022
 
8.6%
1 531
 
4.5%
작 507
 
4.3%
구 503
 
4.3%
서 503
 
4.3%
시 502
 
4.2%
특 501
 
4.2%
울 501
 
4.2%
별 501
 
4.2%
Other values (133) 4664
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6829
57.7%
Decimal Number 2393
 
20.2%
Space Separator 2091
 
17.7%
Dash Punctuation 476
 
4.0%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Uppercase Letter 7
 
0.1%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1022
15.0%
작 507
 
7.4%
구 503
 
7.4%
서 503
 
7.4%
시 502
 
7.4%
특 501
 
7.3%
울 501
 
7.3%
별 501
 
7.3%
지 438
 
6.4%
번 414
 
6.1%
Other values (112) 1437
21.0%
Decimal Number
ValueCountFrequency (%)
1 531
22.2%
2 338
14.1%
3 300
12.5%
0 206
 
8.6%
4 201
 
8.4%
5 180
 
7.5%
9 169
 
7.1%
7 168
 
7.0%
6 159
 
6.6%
8 141
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
A 1
 
14.3%
P 1
 
14.3%
T 1
 
14.3%
D 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6829
57.7%
Common 4990
42.2%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1022
15.0%
작 507
 
7.4%
구 503
 
7.4%
서 503
 
7.4%
시 502
 
7.4%
특 501
 
7.3%
울 501
 
7.3%
별 501
 
7.3%
지 438
 
6.4%
번 414
 
6.1%
Other values (112) 1437
21.0%
Common
ValueCountFrequency (%)
2091
41.9%
1 531
 
10.6%
- 476
 
9.5%
2 338
 
6.8%
3 300
 
6.0%
0 206
 
4.1%
4 201
 
4.0%
5 180
 
3.6%
9 169
 
3.4%
7 168
 
3.4%
Other values (6) 330
 
6.6%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 1
 
14.3%
P 1
 
14.3%
T 1
 
14.3%
D 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6829
57.7%
ASCII 4997
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2091
41.8%
1 531
 
10.6%
- 476
 
9.5%
2 338
 
6.8%
3 300
 
6.0%
0 206
 
4.1%
4 201
 
4.0%
5 180
 
3.6%
9 169
 
3.4%
7 168
 
3.4%
Other values (11) 337
 
6.7%
Hangul
ValueCountFrequency (%)
동 1022
15.0%
작 507
 
7.4%
구 503
 
7.4%
서 503
 
7.4%
시 502
 
7.4%
특 501
 
7.3%
울 501
 
7.3%
별 501
 
7.3%
지 438
 
6.4%
번 414
 
6.1%
Other values (112) 1437
21.0%

도로명주소
Text

MISSING 

Distinct164
Distinct (%)95.9%
Missing330
Missing (%)65.9%
Memory size4.0 KiB
2024-04-06T19:14:10.493286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length28.596491
Min length22

Characters and Unicode

Total characters4890
Distinct characters128
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

Unique159 ?
Unique (%)93.0%

Sample

1st row서울특별시 동작구 국사봉길 64, 1층 (상도동)
2nd row서울특별시 동작구 서달로 157 (흑석동)
3rd row서울특별시 동작구 동작대로39길 22, 209동 132호 (동작동, 이수힐아파트상가동)
4th row서울특별시 동작구 서달로8가길 2 (흑석동)
5th row서울특별시 동작구 남부순환로269길 22 (사당동)
ValueCountFrequency (%)
서울특별시 171
17.5%
동작구 170
17.4%
사당동 52
 
5.3%
1층 46
 
4.7%
상도동 43
 
4.4%
노량진동 19
 
1.9%
흑석동 18
 
1.8%
대방동 14
 
1.4%
신대방동 12
 
1.2%
장승배기로 11
 
1.1%
Other values (250) 419
43.0%
2024-04-06T19:14:11.170194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
804
 
16.4%
동 374
 
7.6%
작 192
 
3.9%
1 185
 
3.8%
서 178
 
3.6%
) 176
 
3.6%
( 176
 
3.6%
시 173
 
3.5%
특 171
 
3.5%
구 171
 
3.5%
Other values (118) 2290
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2927
59.9%
Space Separator 804
 
16.4%
Decimal Number 699
 
14.3%
Close Punctuation 176
 
3.6%
Open Punctuation 176
 
3.6%
Other Punctuation 92
 
1.9%
Dash Punctuation 13
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 374
 
12.8%
작 192
 
6.6%
서 178
 
6.1%
시 173
 
5.9%
특 171
 
5.8%
구 171
 
5.8%
별 171
 
5.8%
울 171
 
5.8%
로 158
 
5.4%
길 119
 
4.1%
Other values (101) 1049
35.8%
Decimal Number
ValueCountFrequency (%)
1 185
26.5%
2 127
18.2%
4 73
 
10.4%
3 67
 
9.6%
6 49
 
7.0%
7 46
 
6.6%
9 44
 
6.3%
0 43
 
6.2%
5 34
 
4.9%
8 31
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
R 1
33.3%
Space Separator
ValueCountFrequency (%)
804
100.0%
Close Punctuation
ValueCountFrequency (%)
) 176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 176
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2927
59.9%
Common 1960
40.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 374
 
12.8%
작 192
 
6.6%
서 178
 
6.1%
시 173
 
5.9%
특 171
 
5.8%
구 171
 
5.8%
별 171
 
5.8%
울 171
 
5.8%
로 158
 
5.4%
길 119
 
4.1%
Other values (101) 1049
35.8%
Common
ValueCountFrequency (%)
804
41.0%
1 185
 
9.4%
) 176
 
9.0%
( 176
 
9.0%
2 127
 
6.5%
, 92
 
4.7%
4 73
 
3.7%
3 67
 
3.4%
6 49
 
2.5%
7 46
 
2.3%
Other values (5) 165
 
8.4%
Latin
ValueCountFrequency (%)
B 2
66.7%
R 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2927
59.9%
ASCII 1963
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
804
41.0%
1 185
 
9.4%
) 176
 
9.0%
( 176
 
9.0%
2 127
 
6.5%
, 92
 
4.7%
4 73
 
3.7%
3 67
 
3.4%
6 49
 
2.5%
7 46
 
2.3%
Other values (7) 168
 
8.6%
Hangul
ValueCountFrequency (%)
동 374
 
12.8%
작 192
 
6.6%
서 178
 
6.1%
시 173
 
5.9%
특 171
 
5.8%
구 171
 
5.8%
별 171
 
5.8%
울 171
 
5.8%
로 158
 
5.4%
길 119
 
4.1%
Other values (101) 1049
35.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)47.6%
Missing331
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean6997.1235
Minimum6904
Maximum8574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:11.461191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6904
5-th percentile6913.45
Q16950
median6996.5
Q37016
95-th percentile7066.1
Maximum8574
Range1670
Interquartile range (IQR)66

Descriptive statistics

Standard deviation130.31615
Coefficient of variation (CV)0.018624246
Kurtosis128.42396
Mean6997.1235
Median Absolute Deviation (MAD)39.5
Skewness10.579892
Sum1189511
Variance16982.298
MonotonicityNot monotonic
2024-04-06T19:14:11.722546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6979 7
 
1.4%
7008 6
 
1.2%
7016 6
 
1.2%
6997 5
 
1.0%
6929 5
 
1.0%
7007 5
 
1.0%
6914 4
 
0.8%
7014 4
 
0.8%
6961 4
 
0.8%
7009 4
 
0.8%
Other values (71) 120
 
24.0%
(Missing) 331
66.1%
ValueCountFrequency (%)
6904 2
0.4%
6908 1
 
0.2%
6909 1
 
0.2%
6910 3
0.6%
6913 2
0.4%
6914 4
0.8%
6919 1
 
0.2%
6925 2
0.4%
6926 1
 
0.2%
6928 1
 
0.2%
ValueCountFrequency (%)
8574 1
 
0.2%
7072 2
0.4%
7071 2
0.4%
7069 1
 
0.2%
7067 3
0.6%
7065 1
 
0.2%
7059 4
0.8%
7058 1
 
0.2%
7056 1
 
0.2%
7055 2
0.4%

사업장명
Text

Distinct378
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:14:12.314920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length2
Mean length3.4471058
Min length1

Characters and Unicode

Total characters1727
Distinct characters279
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

Unique307 ?
Unique (%)61.3%

Sample

1st row신진
2nd row대진
3rd row성민
4th row광성
5th row새나라
ValueCountFrequency (%)
대성 8
 
1.5%
현대 7
 
1.3%
중앙 6
 
1.1%
양지 6
 
1.1%
태후사랑 6
 
1.1%
남성 5
 
0.9%
광성 5
 
0.9%
월드 5
 
0.9%
이발소 5
 
0.9%
상도 4
 
0.8%
Other values (384) 475
89.3%
2024-04-06T19:14:13.193006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 125
 
7.2%
원 81
 
4.7%
용 77
 
4.5%
대 72
 
4.2%
성 72
 
4.2%
발 47
 
2.7%
신 34
 
2.0%
32
 
1.9%
화 25
 
1.4%
사 23
 
1.3%
Other values (269) 1139
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1640
95.0%
Space Separator 32
 
1.9%
Lowercase Letter 25
 
1.4%
Uppercase Letter 9
 
0.5%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Other Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 125
 
7.6%
원 81
 
4.9%
용 77
 
4.7%
대 72
 
4.4%
성 72
 
4.4%
발 47
 
2.9%
신 34
 
2.1%
화 25
 
1.5%
사 23
 
1.4%
동 22
 
1.3%
Other values (238) 1062
64.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
16.0%
i 3
12.0%
r 3
12.0%
l 2
8.0%
n 2
8.0%
a 2
8.0%
g 2
8.0%
s 1
 
4.0%
c 1
 
4.0%
t 1
 
4.0%
Other values (4) 4
16.0%
Uppercase Letter
ValueCountFrequency (%)
V 2
22.2%
S 1
11.1%
I 1
11.1%
A 1
11.1%
T 1
11.1%
B 1
11.1%
J 1
11.1%
H 1
11.1%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
2 1
33.3%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1640
95.0%
Common 53
 
3.1%
Latin 34
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 125
 
7.6%
원 81
 
4.9%
용 77
 
4.7%
대 72
 
4.4%
성 72
 
4.4%
발 47
 
2.9%
신 34
 
2.1%
화 25
 
1.5%
사 23
 
1.4%
동 22
 
1.3%
Other values (238) 1062
64.8%
Latin
ValueCountFrequency (%)
e 4
 
11.8%
i 3
 
8.8%
r 3
 
8.8%
V 2
 
5.9%
l 2
 
5.9%
n 2
 
5.9%
a 2
 
5.9%
g 2
 
5.9%
S 1
 
2.9%
I 1
 
2.9%
Other values (12) 12
35.3%
Common
ValueCountFrequency (%)
32
60.4%
) 7
 
13.2%
( 7
 
13.2%
, 2
 
3.8%
. 1
 
1.9%
3 1
 
1.9%
2 1
 
1.9%
1 1
 
1.9%
- 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1640
95.0%
ASCII 87
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 125
 
7.6%
원 81
 
4.9%
용 77
 
4.7%
대 72
 
4.4%
성 72
 
4.4%
발 47
 
2.9%
신 34
 
2.1%
화 25
 
1.5%
사 23
 
1.4%
동 22
 
1.3%
Other values (238) 1062
64.8%
ASCII
ValueCountFrequency (%)
32
36.8%
) 7
 
8.0%
( 7
 
8.0%
e 4
 
4.6%
i 3
 
3.4%
r 3
 
3.4%
, 2
 
2.3%
V 2
 
2.3%
l 2
 
2.3%
n 2
 
2.3%
Other values (21) 23
26.4%

최종수정일자
Date

Distinct326
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1999-01-07 00:00:00
Maximum2024-03-06 11:17:30
2024-04-06T19:14:13.437079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:14:13.843164image/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 size4.0 KiB
I
401 
U
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 401
80.0%
U 100
 
20.0%

Length

2024-04-06T19:14:14.088957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:14.280838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 401
80.0%
u 100
 
20.0%

데이터갱신일자
Date

Distinct83
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-04-06T19:14:14.496532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:14:14.721069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
일반이용업
497 
이용업 기타
 
4

Length

Max length6
Median length5
Mean length5.007984
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 497
99.2%
이용업 기타 4
 
0.8%

Length

2024-04-06T19:14:14.938254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:15.140582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 497
98.4%
이용업 4
 
0.8%
기타 4
 
0.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)76.3%
Missing53
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean195397.59
Minimum191673.03
Maximum198316.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:15.341750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191673.03
5-th percentile192095.78
Q1193935.15
median194981.87
Q3197480.54
95-th percentile198231.04
Maximum198316.07
Range6643.0473
Interquartile range (IQR)3545.3916

Descriptive statistics

Standard deviation1957.0429
Coefficient of variation (CV)0.010015696
Kurtosis-1.2238157
Mean195397.59
Median Absolute Deviation (MAD)1648.5386
Skewness0.078001551
Sum87538122
Variance3830016.8
MonotonicityNot monotonic
2024-04-06T19:14:15.601562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193992.253413072 5
 
1.0%
198145.310964283 5
 
1.0%
197802.054854046 4
 
0.8%
194397.649742849 4
 
0.8%
197969.46996173 4
 
0.8%
193545.919051038 4
 
0.8%
198004.417886236 4
 
0.8%
194623.336363844 4
 
0.8%
193793.826631141 4
 
0.8%
193204.782207917 4
 
0.8%
Other values (332) 406
81.0%
(Missing) 53
 
10.6%
ValueCountFrequency (%)
191673.025374635 2
0.4%
191691.678396263 2
0.4%
191705.34451018 2
0.4%
191817.18932617 1
0.2%
191826.307710005 1
0.2%
191831.932633571 1
0.2%
191848.400994708 1
0.2%
191855.924328657 1
0.2%
191855.96589943 2
0.4%
191938.407612255 2
0.4%
ValueCountFrequency (%)
198316.072697764 1
0.2%
198310.468541102 1
0.2%
198303.159229611 2
0.4%
198294.844827061 1
0.2%
198294.096785509 2
0.4%
198293.812256567 2
0.4%
198278.302387539 2
0.4%
198273.300504339 1
0.2%
198270.495306788 1
0.2%
198270.21622638 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)76.3%
Missing53
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean443861.25
Minimum438812.8
Maximum445930.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:15.854631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438812.8
5-th percentile441804.82
Q1442842.48
median444026.8
Q3444909.41
95-th percentile445562.08
Maximum445930.45
Range7117.6513
Interquartile range (IQR)2066.9301

Descriptive statistics

Standard deviation1208.0412
Coefficient of variation (CV)0.002721664
Kurtosis-0.61335725
Mean443861.25
Median Absolute Deviation (MAD)1014.2225
Skewness-0.3676916
Sum1.9884984 × 108
Variance1459363.5
MonotonicityNot monotonic
2024-04-06T19:14:16.099776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445331.95419109 5
 
1.0%
442773.834834416 5
 
1.0%
443049.47147487 4
 
0.8%
444381.873413059 4
 
0.8%
441785.829300489 4
 
0.8%
444087.593610563 4
 
0.8%
441633.080348522 4
 
0.8%
445408.492593704 4
 
0.8%
444076.328638407 4
 
0.8%
443168.51356024 4
 
0.8%
Other values (332) 406
81.0%
(Missing) 53
 
10.6%
ValueCountFrequency (%)
438812.802766159 1
 
0.2%
441566.953618972 1
 
0.2%
441581.838470649 1
 
0.2%
441595.660481209 2
0.4%
441633.080348522 4
0.8%
441694.12764417 1
 
0.2%
441701.797592085 3
0.6%
441726.264466377 3
0.6%
441734.671184819 1
 
0.2%
441754.008943966 1
 
0.2%
ValueCountFrequency (%)
445930.454113113 1
0.2%
445816.474374 1
0.2%
445649.331017236 1
0.2%
445640.261343756 1
0.2%
445640.095387806 1
0.2%
445623.835477523 1
0.2%
445611.612859036 1
0.2%
445610.160717686 1
0.2%
445594.668377681 2
0.4%
445594.15456647 1
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
일반이용업
457 
<NA>
 
40
이용업 기타
 
4

Length

Max length6
Median length5
Mean length4.9281437
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 457
91.2%
<NA> 40
 
8.0%
이용업 기타 4
 
0.8%

Length

2024-04-06T19:14:16.313598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:16.487446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 457
90.5%
na 40
 
7.9%
이용업 4
 
0.8%
기타 4
 
0.8%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)3.7%
Missing153
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.88793103
Minimum0
Maximum37
Zeros277
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:16.644006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0794612
Coefficient of variation (CV)3.4681311
Kurtosis72.482
Mean0.88793103
Median Absolute Deviation (MAD)0
Skewness7.5631619
Sum309
Variance9.4830816
MonotonicityNot monotonic
2024-04-06T19:14:16.898043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 277
55.3%
3 22
 
4.4%
4 13
 
2.6%
1 12
 
2.4%
2 11
 
2.2%
5 4
 
0.8%
7 3
 
0.6%
8 1
 
0.2%
10 1
 
0.2%
37 1
 
0.2%
Other values (3) 3
 
0.6%
(Missing) 153
30.5%
ValueCountFrequency (%)
0 277
55.3%
1 12
 
2.4%
2 11
 
2.2%
3 22
 
4.4%
4 13
 
2.6%
5 4
 
0.8%
7 3
 
0.6%
8 1
 
0.2%
10 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
37 1
 
0.2%
25 1
 
0.2%
23 1
 
0.2%
13 1
 
0.2%
10 1
 
0.2%
8 1
 
0.2%
7 3
 
0.6%
5 4
 
0.8%
4 13
2.6%
3 22
4.4%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.0%
Missing158
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean0.26530612
Minimum0
Maximum9
Zeros289
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:17.075631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.86324755
Coefficient of variation (CV)3.2537792
Kurtosis40.493993
Mean0.26530612
Median Absolute Deviation (MAD)0
Skewness5.549279
Sum91
Variance0.74519632
MonotonicityNot monotonic
2024-04-06T19:14:17.248843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 289
57.7%
1 42
 
8.4%
4 5
 
1.0%
3 4
 
0.8%
2 1
 
0.2%
9 1
 
0.2%
6 1
 
0.2%
(Missing) 158
31.5%
ValueCountFrequency (%)
0 289
57.7%
1 42
 
8.4%
2 1
 
0.2%
3 4
 
0.8%
4 5
 
1.0%
6 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
6 1
 
0.2%
4 5
 
1.0%
3 4
 
0.8%
2 1
 
0.2%
1 42
 
8.4%
0 289
57.7%

사용시작지상층
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
239 
<NA>
173 
1
60 
2
 
21
3
 
6

Length

Max length4
Median length1
Mean length2.0359281
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 239
47.7%
<NA> 173
34.5%
1 60
 
12.0%
2 21
 
4.2%
3 6
 
1.2%
6 2
 
0.4%

Length

2024-04-06T19:14:17.470926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:17.658999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 239
47.7%
na 173
34.5%
1 60
 
12.0%
2 21
 
4.2%
3 6
 
1.2%
6 2
 
0.4%

사용끝지상층
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
244 
<NA>
185 
1
47 
2
 
18
3
 
5

Length

Max length4
Median length1
Mean length2.1077844
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 244
48.7%
<NA> 185
36.9%
1 47
 
9.4%
2 18
 
3.6%
3 5
 
1.0%
6 2
 
0.4%

Length

2024-04-06T19:14:17.950179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:18.205779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 244
48.7%
na 185
36.9%
1 47
 
9.4%
2 18
 
3.6%
3 5
 
1.0%
6 2
 
0.4%

사용시작지하층
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
245 
<NA>
220 
1
32 
3
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.3173653
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 245
48.9%
<NA> 220
43.9%
1 32
 
6.4%
3 2
 
0.4%
4 1
 
0.2%
2 1
 
0.2%

Length

2024-04-06T19:14:18.410500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:18.621937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 245
48.9%
na 220
43.9%
1 32
 
6.4%
3 2
 
0.4%
4 1
 
0.2%
2 1
 
0.2%

사용끝지하층
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
248 
<NA>
221 
1
29 
3
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.3233533
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 248
49.5%
<NA> 221
44.1%
1 29
 
5.8%
3 2
 
0.4%
4 1
 
0.2%

Length

2024-04-06T19:14:18.843571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:19.045108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 248
49.5%
na 221
44.1%
1 29
 
5.8%
3 2
 
0.4%
4 1
 
0.2%

한실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
300 
<NA>
201 

Length

Max length4
Median length1
Mean length2.2035928
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 300
59.9%
<NA> 201
40.1%

Length

2024-04-06T19:14:19.445399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:19.745755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
59.9%
na 201
40.1%

양실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
300 
<NA>
201 

Length

Max length4
Median length1
Mean length2.2035928
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 300
59.9%
<NA> 201
40.1%

Length

2024-04-06T19:14:19.922369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:20.106993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
59.9%
na 201
40.1%

욕실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
300 
<NA>
201 

Length

Max length4
Median length1
Mean length2.2035928
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 300
59.9%
<NA> 201
40.1%

Length

2024-04-06T19:14:20.359224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:20.525670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
59.9%
na 201
40.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing42
Missing (%)8.4%
Memory size1.1 KiB
False
459 
(Missing)
 
42
ValueCountFrequency (%)
False 459
91.6%
(Missing) 42
 
8.4%
2024-04-06T19:14:20.669619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.1%
Missing48
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean4.2649007
Minimum0
Maximum195
Zeros22
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:14:20.790905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile8
Maximum195
Range195
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.839221
Coefficient of variation (CV)3.0104385
Kurtosis213.09573
Mean4.2649007
Median Absolute Deviation (MAD)1
Skewness14.455695
Sum1932
Variance164.8456
MonotonicityNot monotonic
2024-04-06T19:14:21.021306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 134
26.7%
2 129
25.7%
4 49
 
9.8%
5 33
 
6.6%
6 26
 
5.2%
0 22
 
4.4%
7 19
 
3.8%
8 18
 
3.6%
1 13
 
2.6%
9 5
 
1.0%
Other values (4) 5
 
1.0%
(Missing) 48
 
9.6%
ValueCountFrequency (%)
0 22
 
4.4%
1 13
 
2.6%
2 129
25.7%
3 134
26.7%
4 49
 
9.8%
5 33
 
6.6%
6 26
 
5.2%
7 19
 
3.8%
8 18
 
3.6%
9 5
 
1.0%
ValueCountFrequency (%)
195 1
 
0.2%
194 1
 
0.2%
11 1
 
0.2%
10 2
 
0.4%
9 5
 
1.0%
8 18
 
3.6%
7 19
 
3.8%
6 26
5.2%
5 33
6.6%
4 49
9.8%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
441 
임대
57 
자가
 
3

Length

Max length4
Median length4
Mean length3.760479
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> 441
88.0%
임대 57
 
11.4%
자가 3
 
0.6%

Length

2024-04-06T19:14:21.231324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:21.430488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 441
88.0%
임대 57
 
11.4%
자가 3
 
0.6%

세탁기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
428 
0
73 

Length

Max length4
Median length4
Mean length3.5628743
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> 428
85.4%
0 73
 
14.6%

Length

2024-04-06T19:14:21.970253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:22.129957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 428
85.4%
0 73
 
14.6%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
466 
0
 
33
1
 
2

Length

Max length4
Median length4
Mean length3.7904192
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> 466
93.0%
0 33
 
6.6%
1 2
 
0.4%

Length

2024-04-06T19:14:22.307983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:22.478470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 466
93.0%
0 33
 
6.6%
1 2
 
0.4%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
459 
0
 
31
1
 
11

Length

Max length4
Median length4
Mean length3.748503
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> 459
91.6%
0 31
 
6.2%
1 11
 
2.2%

Length

2024-04-06T19:14:22.665109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:22.842006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 459
91.6%
0 31
 
6.2%
1 11
 
2.2%

회수건조수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
433 
0
68 

Length

Max length4
Median length4
Mean length3.5928144
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> 433
86.4%
0 68
 
13.6%

Length

2024-04-06T19:14:23.095159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:23.314655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 433
86.4%
0 68
 
13.6%

침대수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
435 
0
66 

Length

Max length4
Median length4
Mean length3.6047904
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> 435
86.8%
0 66
 
13.2%

Length

2024-04-06T19:14:23.533038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:14:23.861721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 435
86.8%
0 66
 
13.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing40
Missing (%)8.0%
Memory size1.1 KiB
False
461 
(Missing)
 
40
ValueCountFrequency (%)
False 461
92.0%
(Missing) 40
 
8.0%
2024-04-06T19:14:23.991111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031900003190000-203-1904-0128319040808<NA>3폐업2폐업20081016<NA><NA><NA>02 814576620.4156862서울특별시 동작구 흑석동 248-73번지<NA><NA>신진2003-02-11 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000000000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
131900003190000-203-1966-0120519660111<NA>3폐업2폐업20090526<NA><NA><NA>020816237421.18156803서울특별시 동작구 노량진동 232-159번지<NA><NA>대진1999-06-29 00:00:00I2018-08-31 23:59:59.0일반이용업194708.414817445201.138322일반이용업000000000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
231900003190000-203-1969-0121519690521<NA>3폐업2폐업19971104<NA><NA><NA>02 842786319.94156843서울특별시 동작구 상도동 261-12번지<NA><NA>성민2001-09-29 00:00:00I2018-08-31 23:59:59.0일반이용업194158.14303443943.27225일반이용업000000000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
331900003190000-203-1969-0127519691230<NA>3폐업2폐업20010508<NA><NA><NA>02 812999018.29156060서울특별시 동작구 본동 30-9번지<NA><NA>광성2001-06-20 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000000000N195<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
431900003190000-203-1970-0024419701107<NA>3폐업2폐업20070403<NA><NA><NA>02 81417720.0156857서울특별시 동작구 흑석동 49-59번지<NA><NA>새나라2004-03-29 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
531900003190000-203-1971-0023919710724<NA>3폐업2폐업20051031<NA><NA><NA>02 53585070.0156814서울특별시 동작구 사당동 57-6번지<NA><NA>고길2007-12-18 11:18:37I2018-08-31 23:59:59.0일반이용업198039.419387443379.895569일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
631900003190000-203-1972-0119719720520<NA>3폐업2폐업20060613<NA><NA><NA>020834362328.35156853서울특별시 동작구 신대방동 618-85번지<NA><NA>문창2004-03-29 00:00:00I2018-08-31 23:59:59.0일반이용업192178.130044442862.531868일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
731900003190000-203-1972-0121119720517<NA>1영업/정상1영업<NA><NA><NA><NA>02822 584933.0156844서울특별시 동작구 상도동 303-1번지서울특별시 동작구 국사봉길 64, 1층 (상도동)7052동내2019-07-12 10:40:14U2019-07-14 02:40:00.0일반이용업193780.634793443865.643016일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
831900003190000-203-1972-0122819720725<NA>3폐업2폐업20120327<NA><NA><NA>02 823933525.53156843서울특별시 동작구 상도동 262-2번지 (지상1층)<NA><NA>성민2008-09-03 13:23:47I2018-08-31 23:59:59.0일반이용업194210.802823443896.756156일반이용업<NA><NA>11<NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
931900003190000-203-1972-0128619720816<NA>1영업/정상1영업<NA><NA><NA><NA>02 824391717.21156860서울특별시 동작구 흑석동 100-45번지서울특별시 동작구 서달로 157 (흑석동)6972메탈바리캉2019-07-12 10:51:09U2019-07-14 02:40:00.0일반이용업196546.126009445045.275327일반이용업000000000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
49131900003190000-203-2022-0000320220517<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3156816서울특별시 동작구 사당동 141-177서울특별시 동작구 사당로29가길 47, 지하층 (사당동)7007광성이발관2022-05-17 09:43:27I2021-12-04 23:09:00.0일반이용업198145.310964442773.834834<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49231900003190000-203-2022-0000420220602<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.0156030서울특별시 동작구 상도동 436 래미안상도3차아파트서울특별시 동작구 상도로53길 13, 래미안상도3차아파트 상가동 107호 (상도동)6971브라더후드 바버샵2022-06-02 15:30:43I2021-12-06 00:04:00.0일반이용업195766.388348444020.397472<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49331900003190000-203-2022-0000520221020<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.9156857서울특별시 동작구 흑석동 26-2 블루스톤스포츠서울특별시 동작구 현충로 131, 블루스톤스포츠 지하4층 (흑석동)6904천사2022-10-20 15:32:11I2021-10-30 22:02:00.0일반이용업197089.735965444960.907792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49431900003190000-203-2022-000062022-11-17<NA>3폐업2폐업2023-05-12<NA><NA><NA>0269563327325.56156-860서울특별시 동작구 흑석동 111-1 2층, 3층서울특별시 동작구 현충로 80, 2층, 3층 (흑석동)6972제이바비(J.Barbie)2023-05-12 16:35:56U2022-12-04 23:04:00.0일반이용업196669.877643445213.759767<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49531900003190000-203-2022-0000720221121<NA>1영업/정상1영업<NA><NA><NA><NA><NA>10.0156010서울특별시 동작구 신대방동 719 동작상떼빌아파트 105동 지층 101호서울특별시 동작구 신대방1가길 38, 105동 지층 101호 (신대방동, 동작상떼빌아파트)7072워터힐 커트실2022-11-21 11:48:47I2021-10-31 22:03:00.0일반이용업191691.678396442818.113681<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49631900003190000-203-2023-000012023-02-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.7156-090서울특별시 동작구 사당동 67-8 ,1층 좌측 01호서울특별시 동작구 동작대로35길 71, 1층 좌측 01호 (사당동)6991비스타(VISTA)2023-02-24 14:07:47I2022-12-01 22:06:00.0일반이용업198073.20747443363.337362<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49731900003190000-203-2023-000022023-04-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.0156-803서울특별시 동작구 노량진동 232-184 1층서울특별시 동작구 장승배기로 149, 1층 (노량진동)6929노량진 무료이발소2023-04-06 13:06:03I2022-12-04 00:08:00.0일반이용업194623.336364445408.492594<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49831900003190000-203-2023-000032023-09-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3156-070서울특별시 동작구 흑석동 341 아크로리버하임서울특별시 동작구 현충로 52, 근린생활시설-3(7-2)동 지2층 19호 (흑석동, 아크로리버하임)6909볼룸더바버2023-09-04 11:02:52I2022-12-09 00:06:00.0일반이용업196371.01126445393.773053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49931900003190000-203-2024-000012024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>138.5156-816서울특별시 동작구 사당동 145-11 조양서울특별시 동작구 동작대로27가길 36, 조양 3층 (사당동)7008벨센트 이수점2024-02-29 10:40:16I2023-12-03 00:02:00.0일반이용업198248.251718442647.130287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50031900003190000-203-2024-000022024-03-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.0156-826서울특별시 동작구 사당동 1037-4서울특별시 동작구 사당로26길 124, 3층 (사당동)7016대신2024-03-06 11:17:30I2023-12-03 00:08:00.0일반이용업197969.469962441785.8293<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>