Overview

Dataset statistics

Number of variables44
Number of observations653
Missing cells7179
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory239.9 KiB
Average record size in memory376.2 B

Variable types

Categorical18
Text7
DateTime4
Unsupported8
Numeric6
Boolean1

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,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18574/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (59.0%)Imbalance
총인원 is highly imbalanced (80.2%)Imbalance
본사종업원수 is highly imbalanced (79.5%)Imbalance
공장사무직종업원수 is highly imbalanced (79.5%)Imbalance
공장판매직종업원수 is highly imbalanced (79.5%)Imbalance
공장생산직종업원수 is highly imbalanced (79.5%)Imbalance
보증액 is highly imbalanced (79.5%)Imbalance
월세액 is highly imbalanced (79.5%)Imbalance
다중이용업소여부 is highly imbalanced (82.1%)Imbalance
인허가취소일자 has 653 (100.0%) missing valuesMissing
폐업일자 has 167 (25.6%) missing valuesMissing
휴업시작일자 has 653 (100.0%) missing valuesMissing
휴업종료일자 has 653 (100.0%) missing valuesMissing
재개업일자 has 653 (100.0%) missing valuesMissing
전화번호 has 188 (28.8%) missing valuesMissing
도로명주소 has 242 (37.1%) missing valuesMissing
도로명우편번호 has 262 (40.1%) missing valuesMissing
좌표정보(X) has 8 (1.2%) missing valuesMissing
좌표정보(Y) has 8 (1.2%) missing valuesMissing
남성종사자수 has 407 (62.3%) missing valuesMissing
여성종사자수 has 407 (62.3%) missing valuesMissing
건물소유구분명 has 653 (100.0%) missing valuesMissing
다중이용업소여부 has 133 (20.4%) missing valuesMissing
시설총규모 has 133 (20.4%) missing valuesMissing
전통업소지정번호 has 653 (100.0%) missing valuesMissing
전통업소주된음식 has 653 (100.0%) missing valuesMissing
홈페이지 has 653 (100.0%) 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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 207 (31.7%) zerosZeros
여성종사자수 has 208 (31.9%) zerosZeros

Reproduction

Analysis started2024-04-06 12:57:45.069760
Analysis finished2024-04-06 12:57:46.764885
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3220000
653 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3220000 653
100.0%

Length

2024-04-06T21:57:46.906426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:47.094447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 653
100.0%

관리번호
Text

UNIQUE 

Distinct653
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:57:47.442240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14366
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

Unique653 ?
Unique (%)100.0%

Sample

1st row3220000-102-1968-04226
2nd row3220000-102-1975-04326
3rd row3220000-102-1976-04321
4th row3220000-102-1976-04402
5th row3220000-102-1976-04409
ValueCountFrequency (%)
3220000-102-1968-04226 1
 
0.2%
3220000-102-2002-00010 1
 
0.2%
3220000-102-2003-00007 1
 
0.2%
3220000-102-2002-00032 1
 
0.2%
3220000-102-2003-00001 1
 
0.2%
3220000-102-2003-00002 1
 
0.2%
3220000-102-2003-00003 1
 
0.2%
3220000-102-2003-00004 1
 
0.2%
3220000-102-2003-00005 1
 
0.2%
3220000-102-2003-00006 1
 
0.2%
Other values (643) 643
98.5%
2024-04-06T21:57:48.105437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5290
36.8%
2 2855
19.9%
- 1959
 
13.6%
1 1370
 
9.5%
3 984
 
6.8%
9 618
 
4.3%
8 377
 
2.6%
4 372
 
2.6%
7 183
 
1.3%
5 183
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12407
86.4%
Dash Punctuation 1959
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5290
42.6%
2 2855
23.0%
1 1370
 
11.0%
3 984
 
7.9%
9 618
 
5.0%
8 377
 
3.0%
4 372
 
3.0%
7 183
 
1.5%
5 183
 
1.5%
6 175
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1959
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5290
36.8%
2 2855
19.9%
- 1959
 
13.6%
1 1370
 
9.5%
3 984
 
6.8%
9 618
 
4.3%
8 377
 
2.6%
4 372
 
2.6%
7 183
 
1.3%
5 183
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5290
36.8%
2 2855
19.9%
- 1959
 
13.6%
1 1370
 
9.5%
3 984
 
6.8%
9 618
 
4.3%
8 377
 
2.6%
4 372
 
2.6%
7 183
 
1.3%
5 183
 
1.3%
Distinct584
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1975-04-02 00:00:00
Maximum2023-12-22 00:00:00
2024-04-06T21:57:48.368514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:57:48.626682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
486 
1
167 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 486
74.4%
1 167
 
25.6%

Length

2024-04-06T21:57:48.898010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:49.111583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 486
74.4%
1 167
 
25.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
486 
영업/정상
167 

Length

Max length5
Median length2
Mean length2.7672282
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 486
74.4%
영업/정상 167
 
25.6%

Length

2024-04-06T21:57:49.371549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:49.607750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 486
74.4%
영업/정상 167
 
25.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2
486 
1
167 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 486
74.4%
1 167
 
25.6%

Length

2024-04-06T21:57:49.829024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:50.022919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 486
74.4%
1 167
 
25.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
486 
영업
167 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 486
74.4%
영업 167
 
25.6%

Length

2024-04-06T21:57:50.227886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:50.425138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 486
74.4%
영업 167
 
25.6%

폐업일자
Date

MISSING 

Distinct418
Distinct (%)86.0%
Missing167
Missing (%)25.6%
Memory size5.2 KiB
Minimum1988-06-13 00:00:00
Maximum2023-12-28 00:00:00
2024-04-06T21:57:50.659076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:57:51.003531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

전화번호
Text

MISSING 

Distinct420
Distinct (%)90.3%
Missing188
Missing (%)28.8%
Memory size5.2 KiB
2024-04-06T21:57:51.664543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9526882
Min length2

Characters and Unicode

Total characters4628
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

Unique394 ?
Unique (%)84.7%

Sample

1st row02 5671223
2nd row02 5012787
3rd row02 5425110
4th row02 5456067
5th row02 5400564
ValueCountFrequency (%)
02 372
42.7%
566 7
 
0.8%
0200000000 7
 
0.8%
5143535 4
 
0.5%
567 4
 
0.5%
0234408233 3
 
0.3%
5695777 3
 
0.3%
5454 3
 
0.3%
501 3
 
0.3%
539 3
 
0.3%
Other values (439) 463
53.1%
2024-04-06T21:57:52.501137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 824
17.8%
5 741
16.0%
2 708
15.3%
461
10.0%
4 345
7.5%
6 339
7.3%
1 301
 
6.5%
3 263
 
5.7%
7 245
 
5.3%
8 236
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4167
90.0%
Space Separator 461
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 824
19.8%
5 741
17.8%
2 708
17.0%
4 345
8.3%
6 339
8.1%
1 301
 
7.2%
3 263
 
6.3%
7 245
 
5.9%
8 236
 
5.7%
9 165
 
4.0%
Space Separator
ValueCountFrequency (%)
461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 824
17.8%
5 741
16.0%
2 708
15.3%
461
10.0%
4 345
7.5%
6 339
7.3%
1 301
 
6.5%
3 263
 
5.7%
7 245
 
5.3%
8 236
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 824
17.8%
5 741
16.0%
2 708
15.3%
461
10.0%
4 345
7.5%
6 339
7.3%
1 301
 
6.5%
3 263
 
5.7%
7 245
 
5.3%
8 236
 
5.1%
Distinct627
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:57:53.121864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0643185
Min length5

Characters and Unicode

Total characters3960
Distinct characters12
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

Unique605 ?
Unique (%)92.6%

Sample

1st row115.69
2nd row323.56
3rd row222.59
4th row463.98
5th row1,029.85
ValueCountFrequency (%)
249.46 5
 
0.8%
953.79 3
 
0.5%
446.69 2
 
0.3%
183.04 2
 
0.3%
267.83 2
 
0.3%
144.26 2
 
0.3%
190.00 2
 
0.3%
1,698.25 2
 
0.3%
233.98 2
 
0.3%
283.10 2
 
0.3%
Other values (617) 629
96.3%
2024-04-06T21:57:54.102789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 653
16.5%
2 420
10.6%
1 416
10.5%
3 350
8.8%
4 336
8.5%
0 312
7.9%
5 309
7.8%
8 292
7.4%
9 291
7.3%
6 280
7.1%
Other values (2) 301
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3273
82.7%
Other Punctuation 687
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 420
12.8%
1 416
12.7%
3 350
10.7%
4 336
10.3%
0 312
9.5%
5 309
9.4%
8 292
8.9%
9 291
8.9%
6 280
8.6%
7 267
8.2%
Other Punctuation
ValueCountFrequency (%)
. 653
95.1%
, 34
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Common 3960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 653
16.5%
2 420
10.6%
1 416
10.5%
3 350
8.8%
4 336
8.5%
0 312
7.9%
5 309
7.8%
8 292
7.4%
9 291
7.3%
6 280
7.1%
Other values (2) 301
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 653
16.5%
2 420
10.6%
1 416
10.5%
3 350
8.8%
4 336
8.5%
0 312
7.9%
5 309
7.8%
8 292
7.4%
9 291
7.3%
6 280
7.1%
Other values (2) 301
7.6%
Distinct114
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:57:54.621064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1470138
Min length6

Characters and Unicode

Total characters4014
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

Unique35 ?
Unique (%)5.4%

Sample

1st row135935
2nd row135933
3rd row135887
4th row135887
5th row135954
ValueCountFrequency (%)
135915 47
 
7.2%
135877 40
 
6.1%
135933 32
 
4.9%
135920 26
 
4.0%
135876 22
 
3.4%
135936 22
 
3.4%
135907 21
 
3.2%
135934 20
 
3.1%
135545 18
 
2.8%
135957 18
 
2.8%
Other values (104) 387
59.3%
2024-04-06T21:57:55.321538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 889
22.1%
5 846
21.1%
1 844
21.0%
9 394
9.8%
8 285
 
7.1%
7 218
 
5.4%
2 161
 
4.0%
0 99
 
2.5%
- 96
 
2.4%
4 94
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3918
97.6%
Dash Punctuation 96
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 889
22.7%
5 846
21.6%
1 844
21.5%
9 394
10.1%
8 285
 
7.3%
7 218
 
5.6%
2 161
 
4.1%
0 99
 
2.5%
4 94
 
2.4%
6 88
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4014
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 889
22.1%
5 846
21.1%
1 844
21.0%
9 394
9.8%
8 285
 
7.1%
7 218
 
5.4%
2 161
 
4.0%
0 99
 
2.5%
- 96
 
2.4%
4 94
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4014
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 889
22.1%
5 846
21.1%
1 844
21.0%
9 394
9.8%
8 285
 
7.1%
7 218
 
5.4%
2 161
 
4.0%
0 99
 
2.5%
- 96
 
2.4%
4 94
 
2.3%
Distinct590
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:57:55.794874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length24.920368
Min length17

Characters and Unicode

Total characters16273
Distinct characters128
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

Unique537 ?
Unique (%)82.2%

Sample

1st row서울특별시 강남구 역삼동 826-36번지
2nd row서울특별시 강남구 역삼동 823-35번지 (94.7.20대치동911-8 에서이전)
3rd row서울특별시 강남구 신사동 514-15번지
4th row서울특별시 강남구 신사동 502-11번지 .12
5th row서울특별시 강남구 청담동 91-2번지 .13.14.(논현동164에서97.3.3 이전)
ValueCountFrequency (%)
서울특별시 653
21.7%
강남구 653
21.7%
역삼동 315
 
10.5%
지하1층 163
 
5.4%
삼성동 120
 
4.0%
논현동 111
 
3.7%
신사동 48
 
1.6%
청담동 44
 
1.5%
지하2층 21
 
0.7%
지상2층 11
 
0.4%
Other values (584) 870
28.9%
2024-04-06T21:57:56.660629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2873
 
17.7%
1 781
 
4.8%
759
 
4.7%
658
 
4.0%
656
 
4.0%
656
 
4.0%
656
 
4.0%
654
 
4.0%
653
 
4.0%
653
 
4.0%
Other values (118) 7274
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9299
57.1%
Decimal Number 3323
 
20.4%
Space Separator 2873
 
17.7%
Dash Punctuation 633
 
3.9%
Other Punctuation 101
 
0.6%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Uppercase Letter 7
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
759
 
8.2%
658
 
7.1%
656
 
7.1%
656
 
7.1%
656
 
7.1%
654
 
7.0%
653
 
7.0%
653
 
7.0%
653
 
7.0%
653
 
7.0%
Other values (93) 2648
28.5%
Decimal Number
ValueCountFrequency (%)
1 781
23.5%
2 517
15.6%
3 340
10.2%
7 301
 
9.1%
8 298
 
9.0%
6 290
 
8.7%
4 253
 
7.6%
0 219
 
6.6%
5 201
 
6.0%
9 123
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
T 1
14.3%
P 1
14.3%
H 1
14.3%
I 1
14.3%
K 1
14.3%
A 1
14.3%
O 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 78
77.2%
. 22
 
21.8%
? 1
 
1.0%
Space Separator
ValueCountFrequency (%)
2873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9299
57.1%
Common 6967
42.8%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
759
 
8.2%
658
 
7.1%
656
 
7.1%
656
 
7.1%
656
 
7.1%
654
 
7.0%
653
 
7.0%
653
 
7.0%
653
 
7.0%
653
 
7.0%
Other values (93) 2648
28.5%
Common
ValueCountFrequency (%)
2873
41.2%
1 781
 
11.2%
- 633
 
9.1%
2 517
 
7.4%
3 340
 
4.9%
7 301
 
4.3%
8 298
 
4.3%
6 290
 
4.2%
4 253
 
3.6%
0 219
 
3.1%
Other values (8) 462
 
6.6%
Latin
ValueCountFrequency (%)
T 1
14.3%
P 1
14.3%
H 1
14.3%
I 1
14.3%
K 1
14.3%
A 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9299
57.1%
ASCII 6974
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2873
41.2%
1 781
 
11.2%
- 633
 
9.1%
2 517
 
7.4%
3 340
 
4.9%
7 301
 
4.3%
8 298
 
4.3%
6 290
 
4.2%
4 253
 
3.6%
0 219
 
3.1%
Other values (15) 469
 
6.7%
Hangul
ValueCountFrequency (%)
759
 
8.2%
658
 
7.1%
656
 
7.1%
656
 
7.1%
656
 
7.1%
654
 
7.0%
653
 
7.0%
653
 
7.0%
653
 
7.0%
653
 
7.0%
Other values (93) 2648
28.5%

도로명주소
Text

MISSING 

Distinct402
Distinct (%)97.8%
Missing242
Missing (%)37.1%
Memory size5.2 KiB
2024-04-06T21:57:57.289051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length30.131387
Min length23

Characters and Unicode

Total characters12384
Distinct characters134
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

Unique393 ?
Unique (%)95.6%

Sample

1st row서울특별시 강남구 도산대로 123 (신사동)
2nd row서울특별시 강남구 도산대로 419 (청담동,.13.14.(논현동164에서97.3.3 이전))
3rd row서울특별시 강남구 강남대로 476 (논현동)
4th row서울특별시 강남구 강남대로 518 (논현동)
5th row서울특별시 강남구 언주로 528, 지하1층 (역삼동)
ValueCountFrequency (%)
서울특별시 411
18.0%
강남구 411
18.0%
역삼동 122
 
5.3%
지하1층 76
 
3.3%
봉은사로 66
 
2.9%
삼성동 54
 
2.4%
도산대로 53
 
2.3%
논현동 50
 
2.2%
역삼동,지하1층 36
 
1.6%
언주로 28
 
1.2%
Other values (397) 975
42.7%
2024-04-06T21:57:58.261799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1871
 
15.1%
1 484
 
3.9%
443
 
3.6%
443
 
3.6%
423
 
3.4%
) 422
 
3.4%
( 422
 
3.4%
414
 
3.3%
414
 
3.3%
413
 
3.3%
Other values (124) 6635
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7411
59.8%
Space Separator 1871
 
15.1%
Decimal Number 1808
 
14.6%
Close Punctuation 422
 
3.4%
Open Punctuation 422
 
3.4%
Other Punctuation 391
 
3.2%
Dash Punctuation 41
 
0.3%
Math Symbol 9
 
0.1%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
443
 
6.0%
443
 
6.0%
423
 
5.7%
414
 
5.6%
414
 
5.6%
413
 
5.6%
412
 
5.6%
412
 
5.6%
411
 
5.5%
411
 
5.5%
Other values (98) 3215
43.4%
Decimal Number
ValueCountFrequency (%)
1 484
26.8%
2 257
14.2%
3 247
13.7%
7 140
 
7.7%
4 135
 
7.5%
5 131
 
7.2%
6 114
 
6.3%
8 108
 
6.0%
0 103
 
5.7%
9 89
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
A 1
11.1%
T 1
11.1%
K 1
11.1%
H 1
11.1%
P 1
11.1%
I 1
11.1%
O 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 380
97.2%
. 10
 
2.6%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1871
100.0%
Close Punctuation
ValueCountFrequency (%)
) 422
100.0%
Open Punctuation
ValueCountFrequency (%)
( 422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7411
59.8%
Common 4964
40.1%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
443
 
6.0%
443
 
6.0%
423
 
5.7%
414
 
5.6%
414
 
5.6%
413
 
5.6%
412
 
5.6%
412
 
5.6%
411
 
5.5%
411
 
5.5%
Other values (98) 3215
43.4%
Common
ValueCountFrequency (%)
1871
37.7%
1 484
 
9.8%
) 422
 
8.5%
( 422
 
8.5%
, 380
 
7.7%
2 257
 
5.2%
3 247
 
5.0%
7 140
 
2.8%
4 135
 
2.7%
5 131
 
2.6%
Other values (8) 475
 
9.6%
Latin
ValueCountFrequency (%)
B 2
22.2%
A 1
11.1%
T 1
11.1%
K 1
11.1%
H 1
11.1%
P 1
11.1%
I 1
11.1%
O 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7411
59.8%
ASCII 4973
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1871
37.6%
1 484
 
9.7%
) 422
 
8.5%
( 422
 
8.5%
, 380
 
7.6%
2 257
 
5.2%
3 247
 
5.0%
7 140
 
2.8%
4 135
 
2.7%
5 131
 
2.6%
Other values (16) 484
 
9.7%
Hangul
ValueCountFrequency (%)
443
 
6.0%
443
 
6.0%
423
 
5.7%
414
 
5.6%
414
 
5.6%
413
 
5.6%
412
 
5.6%
412
 
5.6%
411
 
5.5%
411
 
5.5%
Other values (98) 3215
43.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)19.2%
Missing262
Missing (%)40.1%
Infinite0
Infinite (%)0.0%
Mean6141.5831
Minimum6012
Maximum6253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-06T21:57:58.549583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6012
5-th percentile6026
Q16105.5
median6142
Q36193
95-th percentile6241
Maximum6253
Range241
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation67.109689
Coefficient of variation (CV)0.010927099
Kurtosis-0.78947147
Mean6141.5831
Median Absolute Deviation (MAD)43
Skewness-0.14422428
Sum2401359
Variance4503.7104
MonotonicityNot monotonic
2024-04-06T21:57:58.979036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6159 25
 
3.8%
6234 17
 
2.6%
6141 17
 
2.6%
6160 14
 
2.1%
6026 14
 
2.1%
6109 14
 
2.1%
6221 13
 
2.0%
6242 12
 
1.8%
6142 12
 
1.8%
6071 10
 
1.5%
Other values (65) 243
37.2%
(Missing) 262
40.1%
ValueCountFrequency (%)
6012 1
 
0.2%
6013 6
0.9%
6015 1
 
0.2%
6018 1
 
0.2%
6019 4
 
0.6%
6021 2
 
0.3%
6022 1
 
0.2%
6026 14
2.1%
6027 2
 
0.3%
6035 5
 
0.8%
ValueCountFrequency (%)
6253 1
 
0.2%
6252 5
 
0.8%
6242 12
1.8%
6241 9
1.4%
6236 9
1.4%
6235 6
 
0.9%
6234 17
2.6%
6233 7
1.1%
6232 6
 
0.9%
6221 13
2.0%
Distinct603
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:57:59.552351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length4.0122511
Min length1

Characters and Unicode

Total characters2620
Distinct characters470
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique565 ?
Unique (%)86.5%

Sample

1st row서울인서울
2nd row그네
3rd row준코뮤직타운 신사점
4th row금강산회관
5th row하드락
ValueCountFrequency (%)
티파니 4
 
0.6%
하이킥 4
 
0.6%
쌔삥 4
 
0.6%
4
 
0.6%
보스 4
 
0.6%
발리 4
 
0.6%
자전거 3
 
0.4%
3
 
0.4%
오페라 3
 
0.4%
베스트 3
 
0.4%
Other values (630) 675
94.9%
2024-04-06T21:58:00.624053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
4.4%
114
 
4.4%
59
 
2.3%
54
 
2.1%
53
 
2.0%
( 48
 
1.8%
) 48
 
1.8%
43
 
1.6%
35
 
1.3%
28
 
1.1%
Other values (460) 2023
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2167
82.7%
Uppercase Letter 143
 
5.5%
Lowercase Letter 84
 
3.2%
Decimal Number 61
 
2.3%
Space Separator 59
 
2.3%
Open Punctuation 48
 
1.8%
Close Punctuation 48
 
1.8%
Other Punctuation 8
 
0.3%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
5.3%
114
 
5.3%
54
 
2.5%
53
 
2.4%
43
 
2.0%
35
 
1.6%
28
 
1.3%
27
 
1.2%
26
 
1.2%
25
 
1.2%
Other values (396) 1647
76.0%
Uppercase Letter
ValueCountFrequency (%)
E 17
 
11.9%
C 15
 
10.5%
N 14
 
9.8%
A 10
 
7.0%
L 10
 
7.0%
S 8
 
5.6%
U 7
 
4.9%
J 7
 
4.9%
R 7
 
4.9%
O 5
 
3.5%
Other values (14) 43
30.1%
Lowercase Letter
ValueCountFrequency (%)
e 15
17.9%
t 9
10.7%
i 7
8.3%
o 7
8.3%
n 7
8.3%
a 6
 
7.1%
r 5
 
6.0%
u 5
 
6.0%
p 4
 
4.8%
s 3
 
3.6%
Other values (11) 16
19.0%
Decimal Number
ValueCountFrequency (%)
1 13
21.3%
2 11
18.0%
5 9
14.8%
3 7
11.5%
8 5
 
8.2%
7 4
 
6.6%
4 4
 
6.6%
0 3
 
4.9%
6 3
 
4.9%
9 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
' 1
 
12.5%
? 1
 
12.5%
1
 
12.5%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2167
82.7%
Latin 229
 
8.7%
Common 224
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
5.3%
114
 
5.3%
54
 
2.5%
53
 
2.4%
43
 
2.0%
35
 
1.6%
28
 
1.3%
27
 
1.2%
26
 
1.2%
25
 
1.2%
Other values (396) 1647
76.0%
Latin
ValueCountFrequency (%)
E 17
 
7.4%
e 15
 
6.6%
C 15
 
6.6%
N 14
 
6.1%
A 10
 
4.4%
L 10
 
4.4%
t 9
 
3.9%
S 8
 
3.5%
U 7
 
3.1%
i 7
 
3.1%
Other values (37) 117
51.1%
Common
ValueCountFrequency (%)
59
26.3%
( 48
21.4%
) 48
21.4%
1 13
 
5.8%
2 11
 
4.9%
5 9
 
4.0%
3 7
 
3.1%
, 5
 
2.2%
8 5
 
2.2%
7 4
 
1.8%
Other values (7) 15
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2167
82.7%
ASCII 450
 
17.2%
Number Forms 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
115
 
5.3%
114
 
5.3%
54
 
2.5%
53
 
2.4%
43
 
2.0%
35
 
1.6%
28
 
1.3%
27
 
1.2%
26
 
1.2%
25
 
1.2%
Other values (396) 1647
76.0%
ASCII
ValueCountFrequency (%)
59
 
13.1%
( 48
 
10.7%
) 48
 
10.7%
E 17
 
3.8%
e 15
 
3.3%
C 15
 
3.3%
N 14
 
3.1%
1 13
 
2.9%
2 11
 
2.4%
A 10
 
2.2%
Other values (51) 200
44.4%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct602
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1999-03-13 00:00:00
Maximum2024-04-04 09:40:25
2024-04-06T21:58:00.932979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:58:01.309401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
I
401 
U
252 

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
61.4%
U 252
38.6%

Length

2024-04-06T21:58:01.770204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:02.001945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 401
61.4%
u 252
38.6%
Distinct198
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:58:02.273629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:58:02.560710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
룸살롱
489 
카바레
83 
고고(디스코)클럽
 
18
관광호텔나이트(디스코)
 
17
비어(바)살롱
 
12
Other values (6)
 
34

Length

Max length12
Median length3
Mean length3.5222052
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row카바레
2nd row룸살롱
3rd row카바레
4th row카바레
5th row고고(디스코)클럽

Common Values

ValueCountFrequency (%)
룸살롱 489
74.9%
카바레 83
 
12.7%
고고(디스코)클럽 18
 
2.8%
관광호텔나이트(디스코) 17
 
2.6%
비어(바)살롱 12
 
1.8%
기타 10
 
1.5%
스텐드바 9
 
1.4%
극장식당 8
 
1.2%
관광호텔나이트(카바레) 3
 
0.5%
요정 3
 
0.5%

Length

2024-04-06T21:58:02.959177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 489
74.9%
카바레 83
 
12.7%
고고(디스코)클럽 18
 
2.8%
관광호텔나이트(디스코 17
 
2.6%
비어(바)살롱 12
 
1.8%
기타 10
 
1.5%
스텐드바 9
 
1.4%
극장식당 8
 
1.2%
관광호텔나이트(카바레 3
 
0.5%
요정 3
 
0.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)57.5%
Missing8
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean203353.01
Minimum201658.42
Maximum205340.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-06T21:58:03.446614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201658.42
5-th percentile202013.51
Q1202650.09
median203322.11
Q3204122.42
95-th percentile204738.87
Maximum205340.63
Range3682.2145
Interquartile range (IQR)1472.333

Descriptive statistics

Standard deviation877.35774
Coefficient of variation (CV)0.0043144566
Kurtosis-0.94370906
Mean203353.01
Median Absolute Deviation (MAD)693.39649
Skewness0.19748841
Sum1.3116269 × 108
Variance769756.6
MonotonicityNot monotonic
2024-04-06T21:58:03.803187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202471.536204701 11
 
1.7%
203163.37 10
 
1.5%
203943.258999722 9
 
1.4%
204738.865337042 8
 
1.2%
203557.912978466 6
 
0.9%
203455.86 6
 
0.9%
204774.24773282 6
 
0.9%
203475.825 6
 
0.9%
204549.998846316 6
 
0.9%
201746.195 5
 
0.8%
Other values (361) 572
87.6%
(Missing) 8
 
1.2%
ValueCountFrequency (%)
201658.416590861 3
0.5%
201660.523554193 1
 
0.2%
201664.929814711 1
 
0.2%
201677.925882649 1
 
0.2%
201684.704785227 3
0.5%
201704.936963651 2
 
0.3%
201715.095225261 2
 
0.3%
201723.29 1
 
0.2%
201742.388330922 1
 
0.2%
201746.195 5
0.8%
ValueCountFrequency (%)
205340.631121567 2
0.3%
205314.159889285 2
0.3%
205180.099605652 1
 
0.2%
204964.378144648 4
0.6%
204871.752307896 1
 
0.2%
204819.34560229 1
 
0.2%
204815.249497339 2
0.3%
204809.356678073 1
 
0.2%
204802.926536616 1
 
0.2%
204798.418909548 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct371
Distinct (%)57.5%
Missing8
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean444992.31
Minimum442776.69
Maximum447301.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-06T21:58:04.619228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442776.69
5-th percentile443709.33
Q1444347.55
median444849.47
Q3445478.95
95-th percentile446852.08
Maximum447301.72
Range4525.0235
Interquartile range (IQR)1131.398

Descriptive statistics

Standard deviation928.75834
Coefficient of variation (CV)0.0020871335
Kurtosis-0.32516949
Mean444992.31
Median Absolute Deviation (MAD)561.03068
Skewness0.58662008
Sum2.8702004 × 108
Variance862592.06
MonotonicityNot monotonic
2024-04-06T21:58:04.898623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446478.944977018 11
 
1.7%
445134.235 10
 
1.5%
445342.390544546 9
 
1.4%
444986.108170337 8
 
1.2%
444347.552820127 6
 
0.9%
444482.81 6
 
0.9%
445010.229472758 6
 
0.9%
444490.505 6
 
0.9%
446895.028902481 6
 
0.9%
445794.05 5
 
0.8%
Other values (361) 572
87.6%
(Missing) 8
 
1.2%
ValueCountFrequency (%)
442776.692188896 1
 
0.2%
443121.557273426 2
0.3%
443133.151522752 1
 
0.2%
443299.218136257 4
0.6%
443335.791773588 1
 
0.2%
443432.415 1
 
0.2%
443484.029286813 1
 
0.2%
443511.186979114 1
 
0.2%
443520.409792698 2
0.3%
443543.940479792 1
 
0.2%
ValueCountFrequency (%)
447301.71571803 1
 
0.2%
447231.954885143 1
 
0.2%
447224.409217225 1
 
0.2%
447221.714595488 1
 
0.2%
447092.815391301 4
0.6%
447041.788168808 3
0.5%
447003.101793554 2
0.3%
446996.519590524 1
 
0.2%
446992.089678097 1
 
0.2%
446991.199463016 3
0.5%

위생업태명
Categorical

Distinct12
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
룸살롱
378 
<NA>
133 
카바레
77 
고고(디스코)클럽
 
14
관광호텔나이트(디스코)
 
12
Other values (7)
39 

Length

Max length12
Median length3
Mean length3.6125574
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row카바레
2nd row룸살롱
3rd row카바레
4th row카바레
5th row고고(디스코)클럽

Common Values

ValueCountFrequency (%)
룸살롱 378
57.9%
<NA> 133
 
20.4%
카바레 77
 
11.8%
고고(디스코)클럽 14
 
2.1%
관광호텔나이트(디스코) 12
 
1.8%
비어(바)살롱 10
 
1.5%
스텐드바 8
 
1.2%
극장식당 8
 
1.2%
기타 7
 
1.1%
관광호텔나이트(카바레) 3
 
0.5%
Other values (2) 3
 
0.5%

Length

2024-04-06T21:58:05.153963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 378
57.9%
na 133
 
20.4%
카바레 77
 
11.8%
고고(디스코)클럽 14
 
2.1%
관광호텔나이트(디스코 12
 
1.8%
비어(바)살롱 10
 
1.5%
스텐드바 8
 
1.2%
극장식당 8
 
1.2%
기타 7
 
1.1%
관광호텔나이트(카바레 3
 
0.5%
Other values (2) 3
 
0.5%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.7%
Missing407
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean0.8699187
Minimum0
Maximum20
Zeros207
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-06T21:58:05.374687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.75
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6402206
Coefficient of variation (CV)3.03502
Kurtosis21.287044
Mean0.8699187
Median Absolute Deviation (MAD)0
Skewness4.2511803
Sum214
Variance6.9707649
MonotonicityNot monotonic
2024-04-06T21:58:05.692232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 207
31.7%
2 10
 
1.5%
3 8
 
1.2%
4 4
 
0.6%
5 4
 
0.6%
6 3
 
0.5%
9 2
 
0.3%
10 2
 
0.3%
15 1
 
0.2%
8 1
 
0.2%
Other values (4) 4
 
0.6%
(Missing) 407
62.3%
ValueCountFrequency (%)
0 207
31.7%
2 10
 
1.5%
3 8
 
1.2%
4 4
 
0.6%
5 4
 
0.6%
6 3
 
0.5%
7 1
 
0.2%
8 1
 
0.2%
9 2
 
0.3%
10 2
 
0.3%
ValueCountFrequency (%)
20 1
 
0.2%
17 1
 
0.2%
15 1
 
0.2%
11 1
 
0.2%
10 2
0.3%
9 2
0.3%
8 1
 
0.2%
7 1
 
0.2%
6 3
0.5%
5 4
0.6%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)6.5%
Missing407
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean1.0365854
Minimum0
Maximum30
Zeros208
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-06T21:58:05.925446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1832923
Coefficient of variation (CV)3.0709408
Kurtosis31.511458
Mean1.0365854
Median Absolute Deviation (MAD)0
Skewness4.7824198
Sum255
Variance10.13335
MonotonicityNot monotonic
2024-04-06T21:58:06.188396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 208
31.9%
4 8
 
1.2%
6 5
 
0.8%
2 5
 
0.8%
10 3
 
0.5%
3 3
 
0.5%
7 2
 
0.3%
12 2
 
0.3%
8 2
 
0.3%
5 2
 
0.3%
Other values (6) 6
 
0.9%
(Missing) 407
62.3%
ValueCountFrequency (%)
0 208
31.9%
1 1
 
0.2%
2 5
 
0.8%
3 3
 
0.5%
4 8
 
1.2%
5 2
 
0.3%
6 5
 
0.8%
7 2
 
0.3%
8 2
 
0.3%
9 1
 
0.2%
ValueCountFrequency (%)
30 1
 
0.2%
16 1
 
0.2%
13 1
 
0.2%
12 2
 
0.3%
11 1
 
0.2%
10 3
0.5%
9 1
 
0.2%
8 2
 
0.3%
7 2
 
0.3%
6 5
0.8%
Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
386 
유흥업소밀집지역
148 
기타
107 
주택가주변
 
5
학교정화(상대)
 
4
Other values (2)
 
3

Length

Max length8
Median length4
Mean length4.618683
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 386
59.1%
유흥업소밀집지역 148
 
22.7%
기타 107
 
16.4%
주택가주변 5
 
0.8%
학교정화(상대) 4
 
0.6%
아파트지역 2
 
0.3%
결혼예식장주변 1
 
0.2%

Length

2024-04-06T21:58:06.443775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:06.673692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 386
59.1%
유흥업소밀집지역 148
 
22.7%
기타 107
 
16.4%
주택가주변 5
 
0.8%
학교정화(상대 4
 
0.6%
아파트지역 2
 
0.3%
결혼예식장주변 1
 
0.2%

등급구분명
Categorical

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
425 
자율
81 
지도
63 
기타
54 
 
21
Other values (3)
 
9

Length

Max length4
Median length4
Mean length3.2679939
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 425
65.1%
자율 81
 
12.4%
지도 63
 
9.6%
기타 54
 
8.3%
21
 
3.2%
우수 7
 
1.1%
1
 
0.2%
관리 1
 
0.2%

Length

2024-04-06T21:58:06.979337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:07.215034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 425
65.1%
자율 81
 
12.4%
지도 63
 
9.6%
기타 54
 
8.3%
21
 
3.2%
우수 7
 
1.1%
1
 
0.2%
관리 1
 
0.2%
Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
405 
상수도전용
247 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.3981623
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 405
62.0%
상수도전용 247
37.8%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

Length

2024-04-06T21:58:07.465326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:07.697751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 405
62.0%
상수도전용 247
37.8%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
633 
0
 
20

Length

Max length4
Median length4
Mean length3.9081164
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> 633
96.9%
0 20
 
3.1%

Length

2024-04-06T21:58:07.914336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:08.134727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 633
96.9%
0 20
 
3.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
632 
0
 
21

Length

Max length4
Median length4
Mean length3.9035222
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> 632
96.8%
0 21
 
3.2%

Length

2024-04-06T21:58:08.355651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:08.544538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 632
96.8%
0 21
 
3.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
632 
0
 
21

Length

Max length4
Median length4
Mean length3.9035222
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> 632
96.8%
0 21
 
3.2%

Length

2024-04-06T21:58:08.762181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:08.979285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 632
96.8%
0 21
 
3.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
632 
0
 
21

Length

Max length4
Median length4
Mean length3.9035222
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> 632
96.8%
0 21
 
3.2%

Length

2024-04-06T21:58:09.209646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:09.526326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 632
96.8%
0 21
 
3.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
632 
0
 
21

Length

Max length4
Median length4
Mean length3.9035222
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> 632
96.8%
0 21
 
3.2%

Length

2024-04-06T21:58:09.757962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:10.006971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 632
96.8%
0 21
 
3.2%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
632 
0
 
21

Length

Max length4
Median length4
Mean length3.9035222
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> 632
96.8%
0 21
 
3.2%

Length

2024-04-06T21:58:10.321647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:10.507934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 632
96.8%
0 21
 
3.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
632 
0
 
21

Length

Max length4
Median length4
Mean length3.9035222
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> 632
96.8%
0 21
 
3.2%

Length

2024-04-06T21:58:10.712563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:58:11.017840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 632
96.8%
0 21
 
3.2%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.4%
Missing133
Missing (%)20.4%
Memory size1.4 KiB
False
506 
True
 
14
(Missing)
133 
ValueCountFrequency (%)
False 506
77.5%
True 14
 
2.1%
(Missing) 133
 
20.4%
2024-04-06T21:58:11.245403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct503
Distinct (%)96.7%
Missing133
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean398.36533
Minimum13.82
Maximum3784.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-06T21:58:11.643321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.82
5-th percentile108.7895
Q1174.56
median268.105
Q3443.5225
95-th percentile1070.176
Maximum3784.87
Range3771.05
Interquartile range (IQR)268.9625

Descriptive statistics

Standard deviation425.82946
Coefficient of variation (CV)1.0689421
Kurtosis21.675431
Mean398.36533
Median Absolute Deviation (MAD)111.035
Skewness3.9543557
Sum207149.97
Variance181330.73
MonotonicityNot monotonic
2024-04-06T21:58:12.080620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
953.79 3
 
0.5%
1698.25 2
 
0.3%
446.69 2
 
0.3%
3784.87 2
 
0.3%
194.82 2
 
0.3%
190.0 2
 
0.3%
233.98 2
 
0.3%
153.71 2
 
0.3%
283.1 2
 
0.3%
183.04 2
 
0.3%
Other values (493) 499
76.4%
(Missing) 133
 
20.4%
ValueCountFrequency (%)
13.82 1
0.2%
26.64 1
0.2%
53.57 1
0.2%
65.18 1
0.2%
66.3 1
0.2%
73.94 1
0.2%
78.53 1
0.2%
78.63 1
0.2%
83.15 1
0.2%
88.1 1
0.2%
ValueCountFrequency (%)
3784.87 2
0.3%
2942.03 1
0.2%
2718.43 1
0.2%
2566.84 1
0.2%
2386.18 1
0.2%
2187.47 1
0.2%
1854.32 1
0.2%
1747.67 1
0.2%
1706.25 1
0.2%
1698.25 2
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing653
Missing (%)100.0%
Memory size5.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-102-1968-0422619911230<NA>3폐업2폐업20081204<NA><NA><NA>02 5671223115.69135935서울특별시 강남구 역삼동 826-36번지<NA><NA>서울인서울2004-06-29 00:00:00I2018-08-31 23:59:59.0카바레202628.563347443736.23374카바레24유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N115.69<NA><NA><NA>
132200003220000-102-1975-0432619750402<NA>3폐업2폐업20090810<NA><NA><NA>02 5012787323.56135933서울특별시 강남구 역삼동 823-35번지 (94.7.20대치동911-8 에서이전)<NA><NA>그네2008-04-01 15:28:04I2018-08-31 23:59:59.0룸살롱202840.283264443954.934815룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N323.56<NA><NA><NA>
232200003220000-102-1976-0432119760110<NA>1영업/정상1영업<NA><NA><NA><NA>02 5425110222.59135887서울특별시 강남구 신사동 514-15번지서울특별시 강남구 도산대로 123 (신사동)6035준코뮤직타운 신사점2018-04-12 10:35:29I2018-08-31 23:59:59.0카바레201864.398628446138.700258카바레<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N222.59<NA><NA><NA>
332200003220000-102-1976-0440219761220<NA>3폐업2폐업20040519<NA><NA><NA>02 5456067463.98135887서울특별시 강남구 신사동 502-11번지 .12<NA><NA>금강산회관2002-04-22 00:00:00I2018-08-31 23:59:59.0카바레201684.704785446105.858998카바레00유흥업소밀집지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N463.98<NA><NA><NA>
432200003220000-102-1976-0440919760705<NA>3폐업2폐업20120925<NA><NA><NA>02 54005641,029.85135954서울특별시 강남구 청담동 91-2번지 .13.14.(논현동164에서97.3.3 이전)서울특별시 강남구 도산대로 419 (청담동,.13.14.(논현동164에서97.3.3 이전))<NA>하드락2006-10-17 00:00:00I2018-08-31 23:59:59.0고고(디스코)클럽203610.123149446848.654294고고(디스코)클럽<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N1029.85<NA><NA><NA>
532200003220000-102-1977-0439919771025<NA>3폐업2폐업19941015<NA><NA><NA>0205401110409.70135811서울특별시 강남구 논현동 1-0번지<NA><NA>신영동회관2002-06-19 00:00:00I2018-08-31 23:59:59.0카바레201715.095225445959.466322카바레00유흥업소밀집지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N409.7<NA><NA><NA>
632200003220000-102-1977-1864219771026<NA>3폐업2폐업20120914<NA><NA><NA>02749.92135545서울특별시 강남구 논현동 200-7번지서울특별시 강남구 강남대로 476 (논현동)6120동경2004-02-18 00:00:00I2018-08-31 23:59:59.0카바레202121.293459444742.671289카바레00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N749.92<NA><NA><NA>
732200003220000-102-1977-2032919770513<NA>3폐업2폐업20170531<NA><NA><NA>02 511 9572423.70135825서울특별시 강남구 논현동 164-1번지서울특별시 강남구 강남대로 518 (논현동)6114텐프로10 노래25시2017-05-31 09:56:18I2018-08-31 23:59:59.0스텐드바201971.359123445136.165169스텐드바<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N423.7<NA><NA><NA>
832200003220000-102-1978-0430719781230<NA>3폐업2폐업20080424<NA><NA><NA>02 5667144364.15135912서울특별시 강남구 역삼동 649-7번지<NA><NA>로그인2007-09-07 15:05:10I2018-08-31 23:59:59.0룸살롱202593.633081444143.889123룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N364.15<NA><NA><NA>
932200003220000-102-1978-0433319781220<NA>3폐업2폐업19970722<NA><NA><NA>0200000000188.43135951서울특별시 강남구 청담동 41-3번지<NA><NA>영동2001-08-02 00:00:00I2018-08-31 23:59:59.0룸살롱203620.787213446173.509712룸살롱00유흥업소밀집지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N188.43<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
64332200003220000-102-2021-000022021-11-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>908.40135-892서울특별시 강남구 신사동 587-1 선샤인호텔 지하1층,지하중층서울특별시 강남구 도산대로 205, 선샤인호텔 지하1층,지하중층 (신사동)6026미슐랭2024-01-12 13:48:58U2023-11-30 23:04:00.0룸살롱202471.536205446478.944977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64432200003220000-102-2021-000032021-11-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>140.56135-923서울특별시 강남구 역삼동 735-29서울특별시 강남구 테헤란로16길 9 (역삼동)6235아이엠2023-12-27 16:25:42U2022-11-01 22:09:00.0룸살롱202924.728432444079.368714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64532200003220000-102-2021-0000420211126<NA>1영업/정상1영업<NA><NA><NA><NA><NA>447.39135892서울특별시 강남구 신사동 587-1 선샤인호텔 별관 1층서울특별시 강남구 도산대로 205, 선샤인호텔 별관1층 (신사동)6026게임2021-11-26 13:43:22I2021-11-28 00:22:43.0룸살롱202471.536205446478.944977룸살롱00주택가주변<NA><NA>00000<NA>00Y447.39<NA><NA><NA>
64632200003220000-102-2021-0000520211126<NA>1영업/정상1영업<NA><NA><NA><NA><NA>802.66135892서울특별시 강남구 신사동 587-1 선샤인호텔 별관2,3층서울특별시 강남구 도산대로 205, 선샤인호텔 별관2,3층 (신사동)6026인트로2022-03-17 17:46:06U2022-03-19 02:40:00.0룸살롱202471.536205446478.944977룸살롱00기타<NA>상수도전용00000<NA>00Y802.66<NA><NA><NA>
64732200003220000-102-2021-000062021-12-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>307.04135-934서울특별시 강남구 역삼동 825-29 지하1층서울특별시 강남구 테헤란로2길 15 (역삼동)6232코튼라운지2024-02-06 17:51:28U2023-12-02 00:08:00.0룸살롱202522.701521443890.576678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64832200003220000-102-2021-000072021-12-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>789.85135-892서울특별시 강남구 신사동 587-1 선샤인호텔서울특별시 강남구 도산대로 205, 선샤인호텔 지하중층, 지하1층 (신사동)6026메이비2023-03-16 17:18:03U2022-12-02 23:08:00.0고고(디스코)클럽202471.536205446478.944977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64932200003220000-102-2022-000012022-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>539.29135-887서울특별시 강남구 신사동 502-11 영일빌딩서울특별시 강남구 강남대로 620, 영일빌딩 지1층 (신사동)6035플렉스2023-03-10 15:10:05U2022-12-02 23:02:00.0룸살롱201684.704785446105.858998<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65032200003220000-102-2022-0000220220420<NA>1영업/정상1영업<NA><NA><NA><NA><NA>81.49135821서울특별시 강남구 논현동 118-17 세한빌딩 지하1층서울특별시 강남구 학동로 339, 세한빌딩 지하1층 (논현동)6060두꺼비2022-04-20 16:56:07I2021-12-03 22:02:00.0룸살롱203483.649399446102.236098<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65132200003220000-102-2023-000012023-11-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>759.94135-920서울특별시 강남구 역삼동 719 신웅타워서울특별시 강남구 테헤란로 216, 신웅타워 지하1,2층 (역삼동)6221마카롱2024-04-04 09:40:25U2023-12-04 00:06:00.0룸살롱203478.583672444358.311754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65232200003220000-102-2023-000022023-12-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>690.32135-995서울특별시 강남구 논현동 74 PATIO7서울특별시 강남구 논현로 736, PATIO7 지하1,2층 (논현동)6049클럽 에이아이(CLUB AI)2023-12-22 14:52:25I2022-11-01 22:04:00.0관광호텔나이트(디스코)202516.646579446175.671627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>