Overview

Dataset statistics

Number of variables47
Number of observations293
Missing cells2782
Missing cells (%)20.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.0 KiB
Average record size in memory405.5 B

Variable types

Categorical24
Text6
DateTime3
Unsupported7
Numeric5
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17953/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신일자 is highly imbalanced (71.4%)Imbalance
업태구분명 is highly imbalanced (87.2%)Imbalance
위생업태명 is highly imbalanced (73.3%)Imbalance
건물지상층수 is highly imbalanced (72.2%)Imbalance
건물지하층수 is highly imbalanced (77.6%)Imbalance
사용끝지상층 is highly imbalanced (55.5%)Imbalance
사용시작지하층 is highly imbalanced (76.6%)Imbalance
사용끝지하층 is highly imbalanced (76.6%)Imbalance
한실수 is highly imbalanced (66.7%)Imbalance
양실수 is highly imbalanced (66.7%)Imbalance
욕실수 is highly imbalanced (66.7%)Imbalance
좌석수 is highly imbalanced (66.7%)Imbalance
건물소유구분명 is highly imbalanced (55.9%)Imbalance
세탁기수 is highly imbalanced (57.3%)Imbalance
여성종사자수 is highly imbalanced (66.7%)Imbalance
남성종사자수 is highly imbalanced (76.9%)Imbalance
침대수 is highly imbalanced (66.7%)Imbalance
인허가취소일자 has 293 (100.0%) missing valuesMissing
폐업일자 has 80 (27.3%) missing valuesMissing
휴업시작일자 has 293 (100.0%) missing valuesMissing
휴업종료일자 has 293 (100.0%) missing valuesMissing
재개업일자 has 293 (100.0%) missing valuesMissing
전화번호 has 18 (6.1%) missing valuesMissing
도로명주소 has 162 (55.3%) missing valuesMissing
도로명우편번호 has 164 (56.0%) missing valuesMissing
좌표정보(X) has 126 (43.0%) missing valuesMissing
좌표정보(Y) has 126 (43.0%) missing valuesMissing
사용시작지상층 has 18 (6.1%) missing valuesMissing
발한실여부 has 19 (6.5%) missing valuesMissing
조건부허가신고사유 has 293 (100.0%) missing valuesMissing
조건부허가시작일자 has 293 (100.0%) missing valuesMissing
조건부허가종료일자 has 293 (100.0%) missing valuesMissing
다중이용업소여부 has 18 (6.1%) 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 17 (5.8%) zerosZeros
사용시작지상층 has 223 (76.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:14:33.391403
Analysis finished2024-05-11 05:14:36.201752
Duration2.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3010000
293 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 293
100.0%

Length

2024-05-11T05:14:36.742292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:14:37.119564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 293
100.0%

관리번호
Text

UNIQUE 

Distinct293
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T05:14:37.640427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6446
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

Unique293 ?
Unique (%)100.0%

Sample

1st row3010000-205-1987-01592
2nd row3010000-205-1987-01593
3rd row3010000-205-1987-01594
4th row3010000-205-1987-01595
5th row3010000-205-1987-01596
ValueCountFrequency (%)
3010000-205-1987-01592 1
 
0.3%
3010000-205-1998-01530 1
 
0.3%
3010000-205-2003-00034 1
 
0.3%
3010000-205-2003-00033 1
 
0.3%
3010000-205-2003-00032 1
 
0.3%
3010000-205-2003-00031 1
 
0.3%
3010000-205-2003-00030 1
 
0.3%
3010000-205-2003-00029 1
 
0.3%
3010000-205-2003-00028 1
 
0.3%
3010000-205-2003-00027 1
 
0.3%
Other values (283) 283
96.6%
2024-05-11T05:14:38.873862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2673
41.5%
- 879
 
13.6%
1 732
 
11.4%
2 519
 
8.1%
5 431
 
6.7%
3 420
 
6.5%
9 264
 
4.1%
8 156
 
2.4%
6 156
 
2.4%
7 138
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5567
86.4%
Dash Punctuation 879
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2673
48.0%
1 732
 
13.1%
2 519
 
9.3%
5 431
 
7.7%
3 420
 
7.5%
9 264
 
4.7%
8 156
 
2.8%
6 156
 
2.8%
7 138
 
2.5%
4 78
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 879
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6446
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2673
41.5%
- 879
 
13.6%
1 732
 
11.4%
2 519
 
8.1%
5 431
 
6.7%
3 420
 
6.5%
9 264
 
4.1%
8 156
 
2.4%
6 156
 
2.4%
7 138
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2673
41.5%
- 879
 
13.6%
1 732
 
11.4%
2 519
 
8.1%
5 431
 
6.7%
3 420
 
6.5%
9 264
 
4.1%
8 156
 
2.4%
6 156
 
2.4%
7 138
 
2.1%

인허가일자
Date

Distinct185
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1987-02-23 00:00:00
Maximum2023-03-21 00:00:00
2024-05-11T05:14:39.462187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:14:40.068238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3
213 
1
80 

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 (%)
3 213
72.7%
1 80
 
27.3%

Length

2024-05-11T05:14:40.602599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:14:40.995951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 213
72.7%
1 80
 
27.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
213 
영업/정상
80 

Length

Max length5
Median length2
Mean length2.8191126
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 213
72.7%
영업/정상 80
 
27.3%

Length

2024-05-11T05:14:41.396532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:14:41.787257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 213
72.7%
영업/정상 80
 
27.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2
213 
1
80 

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 (%)
2 213
72.7%
1 80
 
27.3%

Length

2024-05-11T05:14:42.250254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:14:42.655890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 213
72.7%
1 80
 
27.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
213 
영업
80 

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 213
72.7%
영업 80
 
27.3%

Length

2024-05-11T05:14:43.096336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:14:43.491745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 213
72.7%
영업 80
 
27.3%

폐업일자
Date

MISSING 

Distinct167
Distinct (%)78.4%
Missing80
Missing (%)27.3%
Memory size2.4 KiB
Minimum1989-07-25 00:00:00
Maximum2024-02-13 00:00:00
2024-05-11T05:14:44.226040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:14:44.799313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct245
Distinct (%)89.1%
Missing18
Missing (%)6.1%
Memory size2.4 KiB
2024-05-11T05:14:45.520877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.258182
Min length6

Characters and Unicode

Total characters2821
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

Unique233 ?
Unique (%)84.7%

Sample

1st row0202656035
2nd row0222742415
3rd row0202752949
4th row0202675615
5th row02 7526257
ValueCountFrequency (%)
02 99
 
25.8%
0200000000 17
 
4.4%
00000 5
 
1.3%
0222851249 2
 
0.5%
4534 2
 
0.5%
0222630122 2
 
0.5%
0222327055 2
 
0.5%
393 2
 
0.5%
0222385479 2
 
0.5%
0222667130 2
 
0.5%
Other values (242) 248
64.8%
2024-05-11T05:14:46.786387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 773
27.4%
0 616
21.8%
3 279
 
9.9%
7 186
 
6.6%
5 180
 
6.4%
6 160
 
5.7%
156
 
5.5%
8 126
 
4.5%
4 125
 
4.4%
9 119
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2665
94.5%
Space Separator 156
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 773
29.0%
0 616
23.1%
3 279
 
10.5%
7 186
 
7.0%
5 180
 
6.8%
6 160
 
6.0%
8 126
 
4.7%
4 125
 
4.7%
9 119
 
4.5%
1 101
 
3.8%
Space Separator
ValueCountFrequency (%)
156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2821
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 773
27.4%
0 616
21.8%
3 279
 
9.9%
7 186
 
6.6%
5 180
 
6.4%
6 160
 
5.7%
156
 
5.5%
8 126
 
4.5%
4 125
 
4.4%
9 119
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 773
27.4%
0 616
21.8%
3 279
 
9.9%
7 186
 
6.6%
5 180
 
6.4%
6 160
 
5.7%
156
 
5.5%
8 126
 
4.5%
4 125
 
4.4%
9 119
 
4.2%

소재지면적
Real number (ℝ)

ZEROS 

Distinct208
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.496689
Minimum0
Maximum684.3
Zeros17
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T05:14:47.287105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.25
median23.1
Q335.83
95-th percentile104.458
Maximum684.3
Range684.3
Interquartile range (IQR)20.58

Descriptive statistics

Standard deviation79.044978
Coefficient of variation (CV)1.9518874
Kurtosis38.496765
Mean40.496689
Median Absolute Deviation (MAD)9.8
Skewness5.9491673
Sum11865.53
Variance6248.1085
MonotonicityNot monotonic
2024-05-11T05:14:47.858840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
5.8%
16.5 10
 
3.4%
33.0 9
 
3.1%
26.4 8
 
2.7%
13.2 6
 
2.0%
20.0 6
 
2.0%
23.1 4
 
1.4%
42.9 3
 
1.0%
24.0 3
 
1.0%
42.81 3
 
1.0%
Other values (198) 224
76.5%
ValueCountFrequency (%)
0.0 17
5.8%
4.9 1
 
0.3%
6.0 1
 
0.3%
8.25 1
 
0.3%
8.64 1
 
0.3%
9.45 1
 
0.3%
9.57 1
 
0.3%
9.9 1
 
0.3%
10.0 1
 
0.3%
10.14 1
 
0.3%
ValueCountFrequency (%)
684.3 1
0.3%
617.4 1
0.3%
559.0 1
0.3%
518.04 1
0.3%
490.95 1
0.3%
361.8 1
0.3%
297.0 1
0.3%
179.37 1
0.3%
128.5 1
0.3%
117.12 1
0.3%

소재지우편번호
Text

Distinct89
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T05:14:48.700874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0341297
Min length6

Characters and Unicode

Total characters1768
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

Unique43 ?
Unique (%)14.7%

Sample

1st row100282
2nd row100282
3rd row100282
4th row100272
5th row100080
ValueCountFrequency (%)
100450 82
28.0%
100440 18
 
6.1%
100372 7
 
2.4%
100272 7
 
2.4%
100890 7
 
2.4%
100819 7
 
2.4%
100282 6
 
2.0%
100859 6
 
2.0%
100391 5
 
1.7%
100392 5
 
1.7%
Other values (79) 143
48.8%
2024-05-11T05:14:49.950127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 784
44.3%
1 351
19.9%
4 150
 
8.5%
5 113
 
6.4%
8 105
 
5.9%
2 80
 
4.5%
3 67
 
3.8%
7 40
 
2.3%
9 39
 
2.2%
6 29
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1758
99.4%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 784
44.6%
1 351
20.0%
4 150
 
8.5%
5 113
 
6.4%
8 105
 
6.0%
2 80
 
4.6%
3 67
 
3.8%
7 40
 
2.3%
9 39
 
2.2%
6 29
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 784
44.3%
1 351
19.9%
4 150
 
8.5%
5 113
 
6.4%
8 105
 
5.9%
2 80
 
4.5%
3 67
 
3.8%
7 40
 
2.3%
9 39
 
2.2%
6 29
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 784
44.3%
1 351
19.9%
4 150
 
8.5%
5 113
 
6.4%
8 105
 
5.9%
2 80
 
4.5%
3 67
 
3.8%
7 40
 
2.3%
9 39
 
2.2%
6 29
 
1.6%

지번주소
Text

Distinct285
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T05:14:50.872945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length23.846416
Min length14

Characters and Unicode

Total characters6987
Distinct characters160
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

Unique278 ?
Unique (%)94.9%

Sample

1st row서울특별시 중구 인현동2가 197번지
2nd row서울특별시 중구 인현동2가 135-13번지
3rd row서울특별시 중구 인현동2가 56-1번지
4th row서울특별시 중구 필동2가 70-7번지
5th row서울특별시 중구 북창동 72-0번지
ValueCountFrequency (%)
서울특별시 293
22.2%
중구 293
22.2%
신당동 134
 
10.1%
황학동 25
 
1.9%
1층 24
 
1.8%
중림동 13
 
1.0%
회현동1가 10
 
0.8%
만리동2가 8
 
0.6%
844번지 8
 
0.6%
필동2가 7
 
0.5%
Other values (400) 507
38.4%
2024-05-11T05:14:52.245245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1292
18.5%
중 307
 
4.4%
1 296
 
4.2%
서 295
 
4.2%
울 295
 
4.2%
별 294
 
4.2%
구 294
 
4.2%
특 293
 
4.2%
시 293
 
4.2%
동 286
 
4.1%
Other values (150) 3042
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3950
56.5%
Decimal Number 1471
 
21.1%
Space Separator 1292
 
18.5%
Dash Punctuation 239
 
3.4%
Uppercase Letter 14
 
0.2%
Other Punctuation 8
 
0.1%
Lowercase Letter 5
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 307
 
7.8%
서 295
 
7.5%
울 295
 
7.5%
별 294
 
7.4%
구 294
 
7.4%
특 293
 
7.4%
시 293
 
7.4%
동 286
 
7.2%
지 275
 
7.0%
번 260
 
6.6%
Other values (123) 1058
26.8%
Decimal Number
ValueCountFrequency (%)
1 296
20.1%
2 230
15.6%
3 183
12.4%
4 163
11.1%
0 159
10.8%
5 104
 
7.1%
6 100
 
6.8%
7 92
 
6.3%
8 83
 
5.6%
9 61
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
I 1
 
7.1%
C 1
 
7.1%
P 1
 
7.1%
T 1
 
7.1%
F 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
l 1
20.0%
a 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
@ 2
 
25.0%
Space Separator
ValueCountFrequency (%)
1292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3950
56.5%
Common 3018
43.2%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 307
 
7.8%
서 295
 
7.5%
울 295
 
7.5%
별 294
 
7.4%
구 294
 
7.4%
특 293
 
7.4%
시 293
 
7.4%
동 286
 
7.2%
지 275
 
7.0%
번 260
 
6.6%
Other values (123) 1058
26.8%
Common
ValueCountFrequency (%)
1292
42.8%
1 296
 
9.8%
- 239
 
7.9%
2 230
 
7.6%
3 183
 
6.1%
4 163
 
5.4%
0 159
 
5.3%
5 104
 
3.4%
6 100
 
3.3%
7 92
 
3.0%
Other values (6) 160
 
5.3%
Latin
ValueCountFrequency (%)
B 6
31.6%
A 3
15.8%
s 2
 
10.5%
I 1
 
5.3%
C 1
 
5.3%
l 1
 
5.3%
a 1
 
5.3%
P 1
 
5.3%
T 1
 
5.3%
F 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3950
56.5%
ASCII 3037
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1292
42.5%
1 296
 
9.7%
- 239
 
7.9%
2 230
 
7.6%
3 183
 
6.0%
4 163
 
5.4%
0 159
 
5.2%
5 104
 
3.4%
6 100
 
3.3%
7 92
 
3.0%
Other values (17) 179
 
5.9%
Hangul
ValueCountFrequency (%)
중 307
 
7.8%
서 295
 
7.5%
울 295
 
7.5%
별 294
 
7.4%
구 294
 
7.4%
특 293
 
7.4%
시 293
 
7.4%
동 286
 
7.2%
지 275
 
7.0%
번 260
 
6.6%
Other values (123) 1058
26.8%

도로명주소
Text

MISSING 

Distinct131
Distinct (%)100.0%
Missing162
Missing (%)55.3%
Memory size2.4 KiB
2024-05-11T05:14:52.989883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length30.167939
Min length20

Characters and Unicode

Total characters3952
Distinct characters167
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 퇴계로8길 19 (회현동1가)
2nd row서울특별시 중구 만리재로 175 (만리동2가)
3rd row서울특별시 중구 다산로33길 18 (신당동)
4th row서울특별시 중구 다산로44길 33 (신당동)
5th row서울특별시 중구 다산로8길 7 (신당동)
ValueCountFrequency (%)
서울특별시 131
 
17.1%
중구 131
 
17.1%
신당동 46
 
6.0%
1층 25
 
3.3%
다산로 11
 
1.4%
황학동 9
 
1.2%
32 7
 
0.9%
36 6
 
0.8%
회현동1가 6
 
0.8%
28 5
 
0.7%
Other values (293) 391
50.9%
2024-05-11T05:14:54.305102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
637
 
16.1%
1 161
 
4.1%
동 153
 
3.9%
중 143
 
3.6%
구 142
 
3.6%
) 134
 
3.4%
( 134
 
3.4%
로 134
 
3.4%
서 134
 
3.4%
울 133
 
3.4%
Other values (157) 2047
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2257
57.1%
Decimal Number 659
 
16.7%
Space Separator 637
 
16.1%
Close Punctuation 134
 
3.4%
Open Punctuation 134
 
3.4%
Other Punctuation 91
 
2.3%
Dash Punctuation 20
 
0.5%
Uppercase Letter 15
 
0.4%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 153
 
6.8%
중 143
 
6.3%
구 142
 
6.3%
로 134
 
5.9%
서 134
 
5.9%
울 133
 
5.9%
별 132
 
5.8%
시 131
 
5.8%
특 131
 
5.8%
길 94
 
4.2%
Other values (130) 930
41.2%
Decimal Number
ValueCountFrequency (%)
1 161
24.4%
2 111
16.8%
3 79
12.0%
4 64
 
9.7%
6 55
 
8.3%
0 54
 
8.2%
7 38
 
5.8%
8 38
 
5.8%
5 36
 
5.5%
9 23
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
40.0%
A 2
 
13.3%
S 2
 
13.3%
C 2
 
13.3%
J 1
 
6.7%
I 1
 
6.7%
F 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
a 1
20.0%
l 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 90
98.9%
@ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
637
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2257
57.1%
Common 1675
42.4%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 153
 
6.8%
중 143
 
6.3%
구 142
 
6.3%
로 134
 
5.9%
서 134
 
5.9%
울 133
 
5.9%
별 132
 
5.8%
시 131
 
5.8%
특 131
 
5.8%
길 94
 
4.2%
Other values (130) 930
41.2%
Common
ValueCountFrequency (%)
637
38.0%
1 161
 
9.6%
) 134
 
8.0%
( 134
 
8.0%
2 111
 
6.6%
, 90
 
5.4%
3 79
 
4.7%
4 64
 
3.8%
6 55
 
3.3%
0 54
 
3.2%
Other values (6) 156
 
9.3%
Latin
ValueCountFrequency (%)
B 6
30.0%
A 2
 
10.0%
S 2
 
10.0%
s 2
 
10.0%
C 2
 
10.0%
J 1
 
5.0%
a 1
 
5.0%
l 1
 
5.0%
I 1
 
5.0%
F 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2257
57.1%
ASCII 1695
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
637
37.6%
1 161
 
9.5%
) 134
 
7.9%
( 134
 
7.9%
2 111
 
6.5%
, 90
 
5.3%
3 79
 
4.7%
4 64
 
3.8%
6 55
 
3.2%
0 54
 
3.2%
Other values (17) 176
 
10.4%
Hangul
ValueCountFrequency (%)
동 153
 
6.8%
중 143
 
6.3%
구 142
 
6.3%
로 134
 
5.9%
서 134
 
5.9%
울 133
 
5.9%
별 132
 
5.8%
시 131
 
5.8%
특 131
 
5.8%
길 94
 
4.2%
Other values (130) 930
41.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)55.0%
Missing164
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean4583.6822
Minimum4500
Maximum4637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T05:14:55.068927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4500
5-th percentile4503.4
Q14572
median4591
Q34610
95-th percentile4632.6
Maximum4637
Range137
Interquartile range (IQR)38

Descriptive statistics

Standard deviation36.325995
Coefficient of variation (CV)0.0079250684
Kurtosis-0.043401437
Mean4583.6822
Median Absolute Deviation (MAD)19
Skewness-0.80631707
Sum591295
Variance1319.5779
MonotonicityNot monotonic
2024-05-11T05:14:55.784306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4595 7
 
2.4%
4575 5
 
1.7%
4631 4
 
1.4%
4633 4
 
1.4%
4582 4
 
1.4%
4591 4
 
1.4%
4583 3
 
1.0%
4613 3
 
1.0%
4589 3
 
1.0%
4606 3
 
1.0%
Other values (61) 89
30.4%
(Missing) 164
56.0%
ValueCountFrequency (%)
4500 2
0.7%
4501 2
0.7%
4502 1
0.3%
4503 2
0.7%
4504 1
0.3%
4506 1
0.3%
4510 1
0.3%
4516 1
0.3%
4521 1
0.3%
4525 1
0.3%
ValueCountFrequency (%)
4637 1
 
0.3%
4635 1
 
0.3%
4634 1
 
0.3%
4633 4
1.4%
4632 2
0.7%
4631 4
1.4%
4630 1
 
0.3%
4627 1
 
0.3%
4626 1
 
0.3%
4624 2
0.7%

사업장명
Text

Distinct246
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T05:14:56.507228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length4.2832765
Min length2

Characters and Unicode

Total characters1255
Distinct characters212
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)72.4%

Sample

1st row폐업
2nd row페업
3rd row유한사
4th row단골사
5th row범양세탁소
ValueCountFrequency (%)
백양사 5
 
1.6%
대흥사 4
 
1.3%
미광사 4
 
1.3%
장충세탁소 3
 
1.0%
백성사 3
 
1.0%
현대사 3
 
1.0%
백광사 3
 
1.0%
형제사 3
 
1.0%
백조사 3
 
1.0%
세탁소 3
 
1.0%
Other values (249) 278
89.1%
2024-05-11T05:14:57.783914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 138
 
11.0%
세 84
 
6.7%
탁 83
 
6.6%
소 52
 
4.1%
리 29
 
2.3%
크 29
 
2.3%
백 25
 
2.0%
대 24
 
1.9%
양 23
 
1.8%
광 23
 
1.8%
Other values (202) 745
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1209
96.3%
Space Separator 19
 
1.5%
Uppercase Letter 11
 
0.9%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 138
 
11.4%
세 84
 
6.9%
탁 83
 
6.9%
소 52
 
4.3%
리 29
 
2.4%
크 29
 
2.4%
백 25
 
2.1%
대 24
 
2.0%
양 23
 
1.9%
광 23
 
1.9%
Other values (186) 699
57.8%
Uppercase Letter
ValueCountFrequency (%)
R 2
18.2%
D 1
9.1%
Y 1
9.1%
N 1
9.1%
U 1
9.1%
A 1
9.1%
L 1
9.1%
K 1
9.1%
C 1
9.1%
M 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
, 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1209
96.3%
Common 35
 
2.8%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 138
 
11.4%
세 84
 
6.9%
탁 83
 
6.9%
소 52
 
4.3%
리 29
 
2.4%
크 29
 
2.4%
백 25
 
2.1%
대 24
 
2.0%
양 23
 
1.9%
광 23
 
1.9%
Other values (186) 699
57.8%
Latin
ValueCountFrequency (%)
R 2
18.2%
D 1
9.1%
Y 1
9.1%
N 1
9.1%
U 1
9.1%
A 1
9.1%
L 1
9.1%
K 1
9.1%
C 1
9.1%
M 1
9.1%
Common
ValueCountFrequency (%)
19
54.3%
( 6
 
17.1%
) 6
 
17.1%
& 2
 
5.7%
, 1
 
2.9%
. 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1206
96.1%
ASCII 46
 
3.7%
Compat Jamo 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 138
 
11.4%
세 84
 
7.0%
탁 83
 
6.9%
소 52
 
4.3%
리 29
 
2.4%
크 29
 
2.4%
백 25
 
2.1%
대 24
 
2.0%
양 23
 
1.9%
광 23
 
1.9%
Other values (183) 696
57.7%
ASCII
ValueCountFrequency (%)
19
41.3%
( 6
 
13.0%
) 6
 
13.0%
& 2
 
4.3%
R 2
 
4.3%
D 1
 
2.2%
Y 1
 
2.2%
N 1
 
2.2%
U 1
 
2.2%
A 1
 
2.2%
Other values (6) 6
 
13.0%
Compat Jamo
ValueCountFrequency (%)
ㅗ 1
33.3%
ㅇ 1
33.3%
ㅅ 1
33.3%

최종수정일자
Date

Distinct185
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2000-02-25 00:00:00
Maximum2024-02-13 11:42:23
2024-05-11T05:14:58.407862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:14:59.035953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
I
251 
U
42 

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 251
85.7%
U 42
 
14.3%

Length

2024-05-11T05:14:59.740231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:00.196486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 251
85.7%
u 42
 
14.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct50
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2018-08-31 23:59:59.0
243 
2021-12-05 23:02:00.0
 
2
2023-12-01 23:05:00.0
 
1
2022-12-03 00:08:00.0
 
1
2021-11-02 00:04:00.0
 
1
Other values (45)
45 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique48 ?
Unique (%)16.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 243
82.9%
2021-12-05 23:02:00.0 2
 
0.7%
2023-12-01 23:05:00.0 1
 
0.3%
2022-12-03 00:08:00.0 1
 
0.3%
2021-11-02 00:04:00.0 1
 
0.3%
2019-06-26 02:40:00.0 1
 
0.3%
2022-10-30 22:05:00.0 1
 
0.3%
2021-12-08 23:01:00.0 1
 
0.3%
2021-11-28 02:40:00.0 1
 
0.3%
2022-12-01 23:06:00.0 1
 
0.3%
Other values (40) 40
 
13.7%

Length

2024-05-11T05:15:00.675024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 243
41.5%
23:59:59.0 243
41.5%
02:40:00.0 27
 
4.6%
2021-12-08 3
 
0.5%
23:02:00.0 2
 
0.3%
23:05:00.0 2
 
0.3%
2021-12-05 2
 
0.3%
23:00:00.0 2
 
0.3%
2022-12-01 2
 
0.3%
2021-07-29 1
 
0.2%
Other values (59) 59
 
10.1%

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반세탁업
285 
빨래방업
 
6
세탁업 기타
 
2

Length

Max length6
Median length5
Mean length4.9863481
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 285
97.3%
빨래방업 6
 
2.0%
세탁업 기타 2
 
0.7%

Length

2024-05-11T05:15:01.266086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:01.793448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 285
96.6%
빨래방업 6
 
2.0%
세탁업 2
 
0.7%
기타 2
 
0.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)80.8%
Missing126
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean200087.83
Minimum196697.12
Maximum202042.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T05:15:02.344851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196697.12
5-th percentile196893.43
Q1198884.2
median200669.39
Q3201230.69
95-th percentile201852.93
Maximum202042.92
Range5345.808
Interquartile range (IQR)2346.4928

Descriptive statistics

Standard deviation1529.8515
Coefficient of variation (CV)0.0076458999
Kurtosis-0.56320607
Mean200087.83
Median Absolute Deviation (MAD)916.89103
Skewness-0.77896935
Sum33414668
Variance2340445.7
MonotonicityNot monotonic
2024-05-11T05:15:02.999507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200750.455125653 9
 
3.1%
200939.519211911 3
 
1.0%
201230.167293495 3
 
1.0%
201852.931048042 3
 
1.0%
200669.390670675 3
 
1.0%
199635.40113967 2
 
0.7%
201937.814426024 2
 
0.7%
198164.81474774 2
 
0.7%
196707.399334951 2
 
0.7%
201038.38106618 2
 
0.7%
Other values (125) 136
46.4%
(Missing) 126
43.0%
ValueCountFrequency (%)
196697.116895888 1
0.3%
196707.399334951 2
0.7%
196743.854095597 1
0.3%
196832.404222408 1
0.3%
196864.942838297 2
0.7%
196882.465973307 1
0.3%
196885.124865249 1
0.3%
196912.812840337 1
0.3%
196954.724406179 1
0.3%
197010.426880715 1
0.3%
ValueCountFrequency (%)
202042.924908 1
 
0.3%
201988.745220377 2
0.7%
201956.649120647 1
 
0.3%
201937.814426024 2
0.7%
201877.027816564 1
 
0.3%
201854.06066717 1
 
0.3%
201852.931048042 3
1.0%
201843.804727042 1
 
0.3%
201838.313197562 1
 
0.3%
201823.908977364 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)80.8%
Missing126
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean450866.94
Minimum449611.22
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T05:15:03.605439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449611.22
5-th percentile449638.82
Q1450584.24
median450975.65
Q3451266.06
95-th percentile451714.43
Maximum452076.82
Range2465.5972
Interquartile range (IQR)681.81987

Descriptive statistics

Standard deviation570.15636
Coefficient of variation (CV)0.0012645779
Kurtosis-0.17851826
Mean450866.94
Median Absolute Deviation (MAD)320.58589
Skewness-0.54250897
Sum75294779
Variance325078.27
MonotonicityNot monotonic
2024-05-11T05:15:04.231665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449638.824308081 9
 
3.1%
451266.063715454 3
 
1.0%
450277.600241968 3
 
1.0%
450855.26449377 3
 
1.0%
450980.181531562 3
 
1.0%
450922.826022734 2
 
0.7%
451038.095327564 2
 
0.7%
451278.901392417 2
 
0.7%
450712.691364846 2
 
0.7%
450380.462209523 2
 
0.7%
Other values (125) 136
46.4%
(Missing) 126
43.0%
ValueCountFrequency (%)
449611.221496994 1
 
0.3%
449638.824308081 9
3.1%
449639.378330415 1
 
0.3%
449687.143213423 2
 
0.7%
449825.896430579 1
 
0.3%
449935.956051473 1
 
0.3%
449947.401377686 1
 
0.3%
449977.270728873 1
 
0.3%
450044.630607241 1
 
0.3%
450085.116028961 1
 
0.3%
ValueCountFrequency (%)
452076.818664092 1
0.3%
451919.349435294 1
0.3%
451857.734212 1
0.3%
451835.061327208 1
0.3%
451813.600492323 2
0.7%
451802.359191492 1
0.3%
451770.331281519 1
0.3%
451730.442813662 1
0.3%
451677.065126229 1
0.3%
451647.070842231 2
0.7%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반세탁업
267 
<NA>
 
18
빨래방업
 
6
세탁업 기타
 
2

Length

Max length6
Median length5
Mean length4.9249147
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 267
91.1%
<NA> 18
 
6.1%
빨래방업 6
 
2.0%
세탁업 기타 2
 
0.7%

Length

2024-05-11T05:15:04.952683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:05.518079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 267
90.5%
na 18
 
6.1%
빨래방업 6
 
2.0%
세탁업 2
 
0.7%
기타 2
 
0.7%

건물지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
259 
<NA>
 
18
2
 
7
1
 
7
4
 
1

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 259
88.4%
<NA> 18
 
6.1%
2 7
 
2.4%
1 7
 
2.4%
4 1
 
0.3%
5 1
 
0.3%

Length

2024-05-11T05:15:05.927976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:06.373830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 259
88.4%
na 18
 
6.1%
2 7
 
2.4%
1 7
 
2.4%
4 1
 
0.3%
5 1
 
0.3%

건물지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
271 
<NA>
 
18
1
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
92.5%
<NA> 18
 
6.1%
1 3
 
1.0%
3 1
 
0.3%

Length

2024-05-11T05:15:06.958475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:07.359739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
92.5%
na 18
 
6.1%
1 3
 
1.0%
3 1
 
0.3%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.2%
Missing18
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean0.29818182
Minimum0
Maximum5
Zeros223
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T05:15:07.639943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77729902
Coefficient of variation (CV)2.6067955
Kurtosis16.380929
Mean0.29818182
Median Absolute Deviation (MAD)0
Skewness3.6996904
Sum82
Variance0.60419376
MonotonicityNot monotonic
2024-05-11T05:15:08.240760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 223
76.1%
1 36
 
12.3%
2 9
 
3.1%
5 3
 
1.0%
3 3
 
1.0%
4 1
 
0.3%
(Missing) 18
 
6.1%
ValueCountFrequency (%)
0 223
76.1%
1 36
 
12.3%
2 9
 
3.1%
3 3
 
1.0%
4 1
 
0.3%
5 3
 
1.0%
ValueCountFrequency (%)
5 3
 
1.0%
4 1
 
0.3%
3 3
 
1.0%
2 9
 
3.1%
1 36
 
12.3%
0 223
76.1%

사용끝지상층
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
227 
1
36 
<NA>
 
18
2
 
7
5
 
3

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 227
77.5%
1 36
 
12.3%
<NA> 18
 
6.1%
2 7
 
2.4%
5 3
 
1.0%
3 2
 
0.7%

Length

2024-05-11T05:15:09.248164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:09.987191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 227
77.5%
1 36
 
12.3%
na 18
 
6.1%
2 7
 
2.4%
5 3
 
1.0%
3 2
 
0.7%

사용시작지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
270 
<NA>
 
18
1
 
4
5
 
1

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 270
92.2%
<NA> 18
 
6.1%
1 4
 
1.4%
5 1
 
0.3%

Length

2024-05-11T05:15:10.857658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:11.488088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 270
92.2%
na 18
 
6.1%
1 4
 
1.4%
5 1
 
0.3%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
270 
<NA>
 
18
1
 
4
5
 
1

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 270
92.2%
<NA> 18
 
6.1%
1 4
 
1.4%
5 1
 
0.3%

Length

2024-05-11T05:15:12.186075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:12.541859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 270
92.2%
na 18
 
6.1%
1 4
 
1.4%
5 1
 
0.3%

한실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 275
93.9%
<NA> 18
 
6.1%

Length

2024-05-11T05:15:12.953472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:13.280906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.9%
na 18
 
6.1%

양실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 275
93.9%
<NA> 18
 
6.1%

Length

2024-05-11T05:15:13.608140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:13.933310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.9%
na 18
 
6.1%

욕실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 275
93.9%
<NA> 18
 
6.1%

Length

2024-05-11T05:15:14.256454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:14.545351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.9%
na 18
 
6.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing19
Missing (%)6.5%
Memory size718.0 B
False
274 
(Missing)
 
19
ValueCountFrequency (%)
False 274
93.5%
(Missing) 19
 
6.5%
2024-05-11T05:15:14.803787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 275
93.9%
<NA> 18
 
6.1%

Length

2024-05-11T05:15:15.446716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:15.770154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.9%
na 18
 
6.1%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing293
Missing (%)100.0%
Memory size2.7 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
245 
임대
45 
자가
 
3

Length

Max length4
Median length4
Mean length3.6723549
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> 245
83.6%
임대 45
 
15.4%
자가 3
 
1.0%

Length

2024-05-11T05:15:16.261617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:16.599204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
83.6%
임대 45
 
15.4%
자가 3
 
1.0%

세탁기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
238 
<NA>
 
18
2
 
13
1
 
13
3
 
7

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 238
81.2%
<NA> 18
 
6.1%
2 13
 
4.4%
1 13
 
4.4%
3 7
 
2.4%
4 4
 
1.4%

Length

2024-05-11T05:15:16.927263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:17.262729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 238
81.2%
na 18
 
6.1%
2 13
 
4.4%
1 13
 
4.4%
3 7
 
2.4%
4 4
 
1.4%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 275
93.9%
<NA> 18
 
6.1%

Length

2024-05-11T05:15:17.632245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:17.921971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.9%
na 18
 
6.1%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
274 
<NA>
 
18
1
 
1

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
93.5%
<NA> 18
 
6.1%
1 1
 
0.3%

Length

2024-05-11T05:15:18.247882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:18.673213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
93.5%
na 18
 
6.1%
1 1
 
0.3%

회수건조수
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
207 
1
63 
<NA>
 
18
3
 
4
6
 
1

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 207
70.6%
1 63
 
21.5%
<NA> 18
 
6.1%
3 4
 
1.4%
6 1
 
0.3%

Length

2024-05-11T05:15:18.996689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:19.329005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 207
70.6%
1 63
 
21.5%
na 18
 
6.1%
3 4
 
1.4%
6 1
 
0.3%

침대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
275 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1843003
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 275
93.9%
<NA> 18
 
6.1%

Length

2024-05-11T05:15:19.719796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:15:20.054126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 275
93.9%
na 18
 
6.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing18
Missing (%)6.1%
Memory size718.0 B
False
275 
(Missing)
 
18
ValueCountFrequency (%)
False 275
93.9%
(Missing) 18
 
6.1%
2024-05-11T05:15:20.256010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030100003010000-205-1987-0159219870813<NA>3폐업2폐업20030811<NA><NA><NA>020265603512.96100282서울특별시 중구 인현동2가 197번지<NA><NA>폐업2003-08-11 00:00:00I2018-08-31 23:59:59.0일반세탁업199510.145263451287.954836일반세탁업000000000N0<NA><NA><NA><NA>00000N
130100003010000-205-1987-0159319870813<NA>3폐업2폐업20030811<NA><NA><NA>022274241510.45100282서울특별시 중구 인현동2가 135-13번지<NA><NA>페업2003-08-11 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000000000N0<NA><NA><NA><NA>00000N
230100003010000-205-1987-0159419870813<NA>3폐업2폐업20050120<NA><NA><NA>020275294940.56100282서울특별시 중구 인현동2가 56-1번지<NA><NA>유한사2005-01-20 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000000000N0<NA><NA><NA><NA>00000N
330100003010000-205-1987-0159519870813<NA>3폐업2폐업20060424<NA><NA><NA>020267561515.36100272서울특별시 중구 필동2가 70-7번지<NA><NA>단골사2003-02-28 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000000000N0<NA><NA><NA><NA>00000N
430100003010000-205-1987-0159619870901<NA>3폐업2폐업20080123<NA><NA><NA>02 752625721.14100080서울특별시 중구 북창동 72-0번지<NA><NA>범양세탁소2003-02-28 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000000000N0<NA><NA><NA><NA>00000N
530100003010000-205-1987-0159719870901<NA>1영업/정상1영업<NA><NA><NA><NA>02 776 156817.51100051서울특별시 중구 회현동1가 97-1번지서울특별시 중구 퇴계로8길 19 (회현동1가)4634목화사2009-06-12 14:36:56I2018-08-31 23:59:59.0일반세탁업198138.095119450681.556254일반세탁업000000000N0<NA><NA><NA><NA>00000N
630100003010000-205-1987-0159819870901<NA>1영업/정상1영업<NA><NA><NA><NA>02 392653013.12100372서울특별시 중구 만리동2가 200-26번지<NA><NA>현대2009-06-30 14:47:19I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000000000N0<NA><NA><NA><NA>00000N
730100003010000-205-1987-0159919870901<NA>3폐업2폐업20121112<NA><NA><NA>02 392 101217.94100372서울특별시 중구 만리동2가 110-1번지서울특별시 중구 만리재로 175 (만리동2가)4500대흥사2009-06-30 14:44:43I2018-08-31 23:59:59.0일반세탁업196885.124865450216.516065일반세탁업000000000N0<NA><NA><NA><NA>00000N
830100003010000-205-1987-0160019870904<NA>3폐업2폐업19921201<NA><NA><NA>020252345712.11100450서울특별시 중구 신당동 330-68번지<NA><NA>대흥사2001-10-08 00:00:00I2018-08-31 23:59:59.0일반세탁업<NA><NA>일반세탁업000000000N0<NA><NA><NA><NA>00000N
930100003010000-205-1987-0160219870904<NA>1영업/정상1영업<NA><NA><NA><NA>020232935717.55100450서울특별시 중구 신당동 241-79번지서울특별시 중구 다산로33길 18 (신당동)4611신성사2007-10-05 10:19:36I2018-08-31 23:59:59.0일반세탁업201155.739799451145.476691일반세탁업000000000N0<NA><NA><NA><NA>00000N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
28330100003010000-205-2018-0000220180803<NA>1영업/정상1영업<NA><NA><NA><NA>0222318482112.74100873서울특별시 중구 회현동1가 115번지 중구회현체육센터 나동 별관주차장 1층서울특별시 중구 퇴계로12길 78, 중구회현체육센터 나동 별관주차장 1층 (회현동1가)4633가온크리닝2018-08-03 11:24:01I2018-08-31 23:59:59.0일반세탁업198302.921921450437.595573일반세탁업001100000N0<NA><NA><NA><NA>20030N
28430100003010000-205-2018-0000320181126<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.0100828서울특별시 중구 신당동 354-11번지 1층서울특별시 중구 동호로11나길 6, 1층 (신당동)4599하이얀세탁소2018-11-26 15:09:50I2018-11-28 02:20:01.0일반세탁업200638.900463450044.630607일반세탁업001100000N0<NA><NA><NA>임대10000N
28530100003010000-205-2019-0000120190312<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.64100391서울특별시 중구 장충동1가 102번지서울특별시 중구 동호로20나길 16, CJ 경영연구소 지하5층층 (장충동1가)4606비에스세탁소2019-03-12 15:46:32I2019-03-14 02:21:50.0일반세탁업200628.002319450818.66004일반세탁업000055000N0<NA><NA><NA><NA>10010N
28630100003010000-205-2019-0000220191220<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.7100011서울특별시 중구 충무로1가 25-34번지서울특별시 중구 명동8나길 37, 3층 (충무로1가)4535경일사2019-12-20 09:18:03I2019-12-22 00:23:25.0일반세탁업198417.468261450975.648396일반세탁업003000000N0<NA><NA><NA><NA>10010N
28730100003010000-205-2019-000032019-08-22<NA>3폐업2폐업2024-02-05<NA><NA><NA><NA>44.14100-870서울특별시 중구 황학동 787 한양 I-Class서울특별시 중구 난계로 173, 한양 I-Class 1층 S-4,S-5호 (황학동)4575백영세탁2024-02-05 15:49:57U2023-12-02 00:07:00.0일반세탁업201988.74522451647.070842<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28830100003010000-205-2020-0000120200528<NA>1영업/정상1영업<NA><NA><NA><NA><NA>55.84100070서울특별시 중구 소공동 81번지서울특별시 중구 남대문로7길 33, 5층 1호 (소공동)4532백화점 세탁 수선2020-05-28 14:43:10I2020-05-30 00:23:39.0일반세탁업198164.814748451278.901392일반세탁업005500000N0<NA><NA><NA><NA>10010N
28930100003010000-205-2022-0000120220111<NA>1영업/정상1영업<NA><NA><NA><NA><NA>31.98100830서울특별시 중구 신당동 366-126서울특별시 중구 다산로 56, 지하1층 B106호 (신당동, 남산정은스카이아파트)4597백영사 세탁소2022-01-11 11:37:23I2022-01-13 00:22:41.0일반세탁업200618.474033449687.143213일반세탁업000011000N0<NA><NA><NA><NA>00000N
29030100003010000-205-2022-0000220220610<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.5100053서울특별시 중구 회현동3가 1-6서울특별시 중구 퇴계로 116, 1층 (회현동3가)4631명동&그린어스2022-06-10 15:30:26I2021-12-05 23:02:00.0일반세탁업198563.936709450920.294054<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29130100003010000-205-2022-0000320221108<NA>1영업/정상1영업<NA><NA><NA><NA><NA>44.41100879서울특별시 중구 흥인동 13-1 청계천 두산위브더제니스서울특별시 중구 다산로46길 17, 청계천 두산위브더제니스 1층 124호 (흥인동)4570옷세탁(ㅇㅗㅅ)2022-11-08 11:05:05I2021-10-31 23:00:00.0일반세탁업201442.039019451619.845549<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29230100003010000-205-2023-000012023-03-21<NA>1영업/정상1영업<NA><NA><NA><NA>02706660935.83100-372서울특별시 중구 만리동2가 273 서울역센트럴자이서울특별시 중구 만리재로 175, 401동 12호 (만리동2가, 서울역센트럴자이)4500자이세탁2023-03-21 10:38:00I2022-12-02 22:03:00.0일반세탁업196697.116896450217.095148<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>