Overview

Dataset statistics

Number of variables47
Number of observations290
Missing cells2672
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.8 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17952/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신일자 is highly imbalanced (69.9%)Imbalance
업태구분명 is highly imbalanced (86.7%)Imbalance
위생업태명 is highly imbalanced (75.2%)Imbalance
건물지하층수 is highly imbalanced (54.0%)Imbalance
사용끝지하층 is highly imbalanced (55.5%)Imbalance
발한실여부 is highly imbalanced (96.5%)Imbalance
건물소유구분명 is highly imbalanced (64.0%)Imbalance
세탁기수 is highly imbalanced (51.8%)Imbalance
여성종사자수 is highly imbalanced (62.5%)Imbalance
남성종사자수 is highly imbalanced (74.3%)Imbalance
회수건조수 is highly imbalanced (56.6%)Imbalance
인허가취소일자 has 290 (100.0%) missing valuesMissing
폐업일자 has 73 (25.2%) missing valuesMissing
휴업시작일자 has 290 (100.0%) missing valuesMissing
휴업종료일자 has 290 (100.0%) missing valuesMissing
재개업일자 has 290 (100.0%) missing valuesMissing
전화번호 has 21 (7.2%) missing valuesMissing
도로명주소 has 149 (51.4%) missing valuesMissing
도로명우편번호 has 151 (52.1%) missing valuesMissing
좌표정보(X) has 27 (9.3%) missing valuesMissing
좌표정보(Y) has 27 (9.3%) missing valuesMissing
건물지상층수 has 153 (52.8%) missing valuesMissing
발한실여부 has 22 (7.6%) missing valuesMissing
조건부허가신고사유 has 290 (100.0%) missing valuesMissing
조건부허가시작일자 has 290 (100.0%) missing valuesMissing
조건부허가종료일자 has 290 (100.0%) missing valuesMissing
다중이용업소여부 has 19 (6.6%) 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 15 (5.2%) zerosZeros
건물지상층수 has 98 (33.8%) zerosZeros

Reproduction

Analysis started2024-04-06 10:17:42.900467
Analysis finished2024-04-06 10:17:44.124781
Duration1.22 second
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
3000000
290 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 290
100.0%

Length

2024-04-06T19:17:44.266410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:44.450915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 290
100.0%

관리번호
Text

UNIQUE 

Distinct290
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T19:17:44.756681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6380
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

Unique290 ?
Unique (%)100.0%

Sample

1st row3000000-205-1987-01487
2nd row3000000-205-1987-01488
3rd row3000000-205-1987-01489
4th row3000000-205-1987-01490
5th row3000000-205-1987-01491
ValueCountFrequency (%)
3000000-205-1987-01487 1
 
0.3%
3000000-205-2004-00003 1
 
0.3%
3000000-205-2003-00011 1
 
0.3%
3000000-205-2003-00010 1
 
0.3%
3000000-205-2003-00009 1
 
0.3%
3000000-205-2003-00008 1
 
0.3%
3000000-205-2003-00007 1
 
0.3%
3000000-205-2003-00013 1
 
0.3%
3000000-205-2003-00006 1
 
0.3%
3000000-205-2003-00002 1
 
0.3%
Other values (280) 280
96.6%
2024-04-06T19:17:45.297301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2846
44.6%
- 870
 
13.6%
2 490
 
7.7%
1 489
 
7.7%
5 453
 
7.1%
3 386
 
6.1%
9 326
 
5.1%
8 174
 
2.7%
6 141
 
2.2%
7 130
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5510
86.4%
Dash Punctuation 870
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2846
51.7%
2 490
 
8.9%
1 489
 
8.9%
5 453
 
8.2%
3 386
 
7.0%
9 326
 
5.9%
8 174
 
3.2%
6 141
 
2.6%
7 130
 
2.4%
4 75
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 870
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2846
44.6%
- 870
 
13.6%
2 490
 
7.7%
1 489
 
7.7%
5 453
 
7.1%
3 386
 
6.1%
9 326
 
5.1%
8 174
 
2.7%
6 141
 
2.2%
7 130
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2846
44.6%
- 870
 
13.6%
2 490
 
7.7%
1 489
 
7.7%
5 453
 
7.1%
3 386
 
6.1%
9 326
 
5.1%
8 174
 
2.7%
6 141
 
2.2%
7 130
 
2.0%

인허가일자
Date

Distinct203
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1987-05-29 00:00:00
Maximum2023-06-28 00:00:00
2024-04-06T19:17:45.550961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:45.828163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3
217 
1
73 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 217
74.8%
1 73
 
25.2%

Length

2024-04-06T19:17:46.135846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:46.516109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 217
74.8%
1 73
 
25.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
217 
영업/정상
73 

Length

Max length5
Median length2
Mean length2.7551724
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 217
74.8%
영업/정상 73
 
25.2%

Length

2024-04-06T19:17:46.723886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:46.873742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 217
74.8%
영업/정상 73
 
25.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2
217 
1
73 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 217
74.8%
1 73
 
25.2%

Length

2024-04-06T19:17:47.079542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:47.328676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 217
74.8%
1 73
 
25.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
217 
영업
73 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 217
74.8%
영업 73
 
25.2%

Length

2024-04-06T19:17:47.561652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:47.790666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 217
74.8%
영업 73
 
25.2%

폐업일자
Date

MISSING 

Distinct177
Distinct (%)81.6%
Missing73
Missing (%)25.2%
Memory size2.4 KiB
Minimum1989-10-04 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T19:17:47.991113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:48.276788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct245
Distinct (%)91.1%
Missing21
Missing (%)7.2%
Memory size2.4 KiB
2024-04-06T19:17:48.754134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.27881
Min length7

Characters and Unicode

Total characters2765
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

Unique232 ?
Unique (%)86.2%

Sample

1st row02 7431381
2nd row02 7623892
3rd row02 7431151
4th row02 7626731
5th row0207639419
ValueCountFrequency (%)
02 221
41.8%
0200000000 13
 
2.5%
765 3
 
0.6%
735 3
 
0.6%
733 3
 
0.6%
379 3
 
0.6%
723 3
 
0.6%
8285 2
 
0.4%
743 2
 
0.4%
732 2
 
0.4%
Other values (259) 274
51.8%
2024-04-06T19:17:49.539032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 519
18.8%
2 444
16.1%
7 340
12.3%
306
11.1%
3 259
9.4%
4 190
 
6.9%
6 178
 
6.4%
9 140
 
5.1%
1 132
 
4.8%
8 132
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2459
88.9%
Space Separator 306
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 519
21.1%
2 444
18.1%
7 340
13.8%
3 259
10.5%
4 190
 
7.7%
6 178
 
7.2%
9 140
 
5.7%
1 132
 
5.4%
8 132
 
5.4%
5 125
 
5.1%
Space Separator
ValueCountFrequency (%)
306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2765
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 519
18.8%
2 444
16.1%
7 340
12.3%
306
11.1%
3 259
9.4%
4 190
 
6.9%
6 178
 
6.4%
9 140
 
5.1%
1 132
 
4.8%
8 132
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 519
18.8%
2 444
16.1%
7 340
12.3%
306
11.1%
3 259
9.4%
4 190
 
6.9%
6 178
 
6.4%
9 140
 
5.1%
1 132
 
4.8%
8 132
 
4.8%

소재지면적
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.497517
Minimum0
Maximum481.44
Zeros15
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T19:17:49.830136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.132
Q114.285
median21.83
Q333.0075
95-th percentile70.0925
Maximum481.44
Range481.44
Interquartile range (IQR)18.7225

Descriptive statistics

Standard deviation41.912413
Coefficient of variation (CV)1.3742893
Kurtosis56.788179
Mean30.497517
Median Absolute Deviation (MAD)8.83
Skewness6.6161442
Sum8844.28
Variance1756.6504
MonotonicityNot monotonic
2024-04-06T19:17:50.060481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
5.2%
24.0 6
 
2.1%
26.4 5
 
1.7%
20.0 5
 
1.7%
12.0 4
 
1.4%
26.0 4
 
1.4%
30.0 4
 
1.4%
22.0 3
 
1.0%
12.8 3
 
1.0%
12.58 3
 
1.0%
Other values (217) 238
82.1%
ValueCountFrequency (%)
0.0 15
5.2%
6.96 1
 
0.3%
8.0 1
 
0.3%
8.16 1
 
0.3%
8.23 2
 
0.7%
9.0 1
 
0.3%
9.18 1
 
0.3%
9.9 2
 
0.7%
9.99 1
 
0.3%
10.0 1
 
0.3%
ValueCountFrequency (%)
481.44 1
0.3%
293.3 1
0.3%
263.66 1
0.3%
239.69 1
0.3%
206.04 1
0.3%
132.0 1
0.3%
121.41 1
0.3%
110.02 1
0.3%
106.42 1
0.3%
80.52 1
0.3%

소재지우편번호
Text

Distinct108
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T19:17:50.567503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0413793
Min length6

Characters and Unicode

Total characters1752
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

Unique44 ?
Unique (%)15.2%

Sample

1st row110521
2nd row110522
3rd row110811
4th row110522
5th row110410
ValueCountFrequency (%)
110847 11
 
3.8%
110862 10
 
3.4%
110521 9
 
3.1%
110070 8
 
2.8%
110827 8
 
2.8%
110320 8
 
2.8%
110340 8
 
2.8%
110840 7
 
2.4%
110837 7
 
2.4%
110813 6
 
2.1%
Other values (98) 208
71.7%
2024-04-06T19:17:51.347068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 659
37.6%
0 489
27.9%
8 152
 
8.7%
4 95
 
5.4%
3 94
 
5.4%
2 89
 
5.1%
5 56
 
3.2%
7 49
 
2.8%
6 33
 
1.9%
9 24
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1740
99.3%
Dash Punctuation 12
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 659
37.9%
0 489
28.1%
8 152
 
8.7%
4 95
 
5.5%
3 94
 
5.4%
2 89
 
5.1%
5 56
 
3.2%
7 49
 
2.8%
6 33
 
1.9%
9 24
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 659
37.6%
0 489
27.9%
8 152
 
8.7%
4 95
 
5.4%
3 94
 
5.4%
2 89
 
5.1%
5 56
 
3.2%
7 49
 
2.8%
6 33
 
1.9%
9 24
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 659
37.6%
0 489
27.9%
8 152
 
8.7%
4 95
 
5.4%
3 94
 
5.4%
2 89
 
5.1%
5 56
 
3.2%
7 49
 
2.8%
6 33
 
1.9%
9 24
 
1.4%

지번주소
Text

Distinct275
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T19:17:51.797107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length23.006897
Min length16

Characters and Unicode

Total characters6672
Distinct characters169
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)90.0%

Sample

1st row서울특별시 종로구 명륜1가 68-16번지
2nd row서울특별시 종로구 명륜2가 29-0번지
3rd row서울특별시 종로구 명륜3가 1-114번지
4th row서울특별시 종로구 명륜2가 216-2번지
5th row서울특별시 종로구 인의동 48-14
ValueCountFrequency (%)
서울특별시 290
22.7%
종로구 290
22.7%
창신동 31
 
2.4%
숭인동 28
 
2.2%
평창동 16
 
1.2%
무악동 13
 
1.0%
1층 13
 
1.0%
내수동 10
 
0.8%
명륜1가 10
 
0.8%
익선동 9
 
0.7%
Other values (410) 570
44.5%
2024-04-06T19:17:52.621490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1248
18.7%
1 302
 
4.5%
로 298
 
4.5%
구 298
 
4.5%
종 297
 
4.5%
서 292
 
4.4%
시 291
 
4.4%
울 291
 
4.4%
특 290
 
4.3%
별 290
 
4.3%
Other values (159) 2775
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4022
60.3%
Space Separator 1248
 
18.7%
Decimal Number 1171
 
17.6%
Dash Punctuation 213
 
3.2%
Uppercase Letter 14
 
0.2%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 298
 
7.4%
구 298
 
7.4%
종 297
 
7.4%
서 292
 
7.3%
시 291
 
7.2%
울 291
 
7.2%
특 290
 
7.2%
별 290
 
7.2%
지 288
 
7.2%
동 284
 
7.1%
Other values (140) 1103
27.4%
Decimal Number
ValueCountFrequency (%)
1 302
25.8%
2 168
14.3%
4 106
 
9.1%
0 99
 
8.5%
3 96
 
8.2%
5 90
 
7.7%
8 87
 
7.4%
6 80
 
6.8%
9 72
 
6.1%
7 71
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
57.1%
A 4
28.6%
K 1
 
7.1%
T 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4022
60.3%
Common 2636
39.5%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 298
 
7.4%
구 298
 
7.4%
종 297
 
7.4%
서 292
 
7.3%
시 291
 
7.2%
울 291
 
7.2%
특 290
 
7.2%
별 290
 
7.2%
지 288
 
7.2%
동 284
 
7.1%
Other values (140) 1103
27.4%
Common
ValueCountFrequency (%)
1248
47.3%
1 302
 
11.5%
- 213
 
8.1%
2 168
 
6.4%
4 106
 
4.0%
0 99
 
3.8%
3 96
 
3.6%
5 90
 
3.4%
8 87
 
3.3%
6 80
 
3.0%
Other values (5) 147
 
5.6%
Latin
ValueCountFrequency (%)
B 8
57.1%
A 4
28.6%
K 1
 
7.1%
T 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4022
60.3%
ASCII 2650
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1248
47.1%
1 302
 
11.4%
- 213
 
8.0%
2 168
 
6.3%
4 106
 
4.0%
0 99
 
3.7%
3 96
 
3.6%
5 90
 
3.4%
8 87
 
3.3%
6 80
 
3.0%
Other values (9) 161
 
6.1%
Hangul
ValueCountFrequency (%)
로 298
 
7.4%
구 298
 
7.4%
종 297
 
7.4%
서 292
 
7.3%
시 291
 
7.2%
울 291
 
7.2%
특 290
 
7.2%
별 290
 
7.2%
지 288
 
7.2%
동 284
 
7.1%
Other values (140) 1103
27.4%

도로명주소
Text

MISSING 

Distinct140
Distinct (%)99.3%
Missing149
Missing (%)51.4%
Memory size2.4 KiB
2024-04-06T19:17:53.181705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length28.687943
Min length21

Characters and Unicode

Total characters4045
Distinct characters166
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

Unique139 ?
Unique (%)98.6%

Sample

1st row서울특별시 종로구 종로31길 29, 1층 (인의동)
2nd row서울특별시 종로구 창경궁로20길 5 (원남동)
3rd row서울특별시 종로구 동숭4길 7 (동숭동)
4th row서울특별시 종로구 통일로10길 31 (홍파동)
5th row서울특별시 종로구 진흥로 484 (신영동)
ValueCountFrequency (%)
서울특별시 141
 
17.4%
종로구 141
 
17.4%
1층 20
 
2.5%
창신동 12
 
1.5%
숭인동 9
 
1.1%
사직로8길 8
 
1.0%
자하문로 6
 
0.7%
지하1층 6
 
0.7%
무악동 6
 
0.7%
평창동 6
 
0.7%
Other values (309) 454
56.1%
2024-04-06T19:17:54.089660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
669
 
16.5%
로 254
 
6.3%
1 181
 
4.5%
종 163
 
4.0%
동 149
 
3.7%
구 147
 
3.6%
서 143
 
3.5%
울 142
 
3.5%
) 141
 
3.5%
( 141
 
3.5%
Other values (156) 1915
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2397
59.3%
Space Separator 669
 
16.5%
Decimal Number 576
 
14.2%
Close Punctuation 141
 
3.5%
Open Punctuation 141
 
3.5%
Other Punctuation 85
 
2.1%
Dash Punctuation 26
 
0.6%
Uppercase Letter 9
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 254
 
10.6%
종 163
 
6.8%
동 149
 
6.2%
구 147
 
6.1%
서 143
 
6.0%
울 142
 
5.9%
시 141
 
5.9%
별 141
 
5.9%
특 141
 
5.9%
길 101
 
4.2%
Other values (137) 875
36.5%
Decimal Number
ValueCountFrequency (%)
1 181
31.4%
2 79
13.7%
4 58
 
10.1%
3 47
 
8.2%
0 46
 
8.0%
6 46
 
8.0%
5 35
 
6.1%
7 30
 
5.2%
8 29
 
5.0%
9 25
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
77.8%
K 1
 
11.1%
T 1
 
11.1%
Space Separator
ValueCountFrequency (%)
669
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Other Punctuation
ValueCountFrequency (%)
, 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2397
59.3%
Common 1639
40.5%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 254
 
10.6%
종 163
 
6.8%
동 149
 
6.2%
구 147
 
6.1%
서 143
 
6.0%
울 142
 
5.9%
시 141
 
5.9%
별 141
 
5.9%
특 141
 
5.9%
길 101
 
4.2%
Other values (137) 875
36.5%
Common
ValueCountFrequency (%)
669
40.8%
1 181
 
11.0%
) 141
 
8.6%
( 141
 
8.6%
, 85
 
5.2%
2 79
 
4.8%
4 58
 
3.5%
3 47
 
2.9%
0 46
 
2.8%
6 46
 
2.8%
Other values (6) 146
 
8.9%
Latin
ValueCountFrequency (%)
B 7
77.8%
K 1
 
11.1%
T 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2397
59.3%
ASCII 1648
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
669
40.6%
1 181
 
11.0%
) 141
 
8.6%
( 141
 
8.6%
, 85
 
5.2%
2 79
 
4.8%
4 58
 
3.5%
3 47
 
2.9%
0 46
 
2.8%
6 46
 
2.8%
Other values (9) 155
 
9.4%
Hangul
ValueCountFrequency (%)
로 254
 
10.6%
종 163
 
6.8%
동 149
 
6.2%
구 147
 
6.1%
서 143
 
6.0%
울 142
 
5.9%
시 141
 
5.9%
별 141
 
5.9%
특 141
 
5.9%
길 101
 
4.2%
Other values (137) 875
36.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)61.9%
Missing151
Missing (%)52.1%
Infinite0
Infinite (%)0.0%
Mean3085.9928
Minimum3003
Maximum3183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T19:17:54.345724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3003
5-th percentile3008
Q13035.5
median3088
Q33131.5
95-th percentile3173.1
Maximum3183
Range180
Interquartile range (IQR)96

Descriptive statistics

Standard deviation52.808719
Coefficient of variation (CV)0.017112392
Kurtosis-1.2070509
Mean3085.9928
Median Absolute Deviation (MAD)46
Skewness0.060179897
Sum428953
Variance2788.7608
MonotonicityNot monotonic
2024-04-06T19:17:54.897234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3070 6
 
2.1%
3174 6
 
2.1%
3133 6
 
2.1%
3013 4
 
1.4%
3008 4
 
1.4%
3097 3
 
1.0%
3113 3
 
1.0%
3076 3
 
1.0%
3036 3
 
1.0%
3139 3
 
1.0%
Other values (76) 98
33.8%
(Missing) 151
52.1%
ValueCountFrequency (%)
3003 1
 
0.3%
3004 1
 
0.3%
3007 2
0.7%
3008 4
1.4%
3010 2
0.7%
3012 2
0.7%
3013 4
1.4%
3015 1
 
0.3%
3019 1
 
0.3%
3020 1
 
0.3%
ValueCountFrequency (%)
3183 1
 
0.3%
3174 6
2.1%
3173 2
 
0.7%
3169 2
 
0.7%
3168 1
 
0.3%
3165 2
 
0.7%
3164 1
 
0.3%
3162 1
 
0.3%
3157 1
 
0.3%
3154 1
 
0.3%

사업장명
Text

Distinct234
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-06T19:17:55.317778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length3
Mean length4.4862069
Min length2

Characters and Unicode

Total characters1301
Distinct characters222
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)70.3%

Sample

1st row백성사
2nd row현대컴퓨터크리닝
3rd row현대사
4th row삼청사
5th row광명사
ValueCountFrequency (%)
백양사 8
 
2.5%
세탁소 6
 
1.9%
백영사 5
 
1.6%
국제사 5
 
1.6%
월풀빨래방 5
 
1.6%
현대사 5
 
1.6%
한일사 4
 
1.3%
미광사 4
 
1.3%
종로사 3
 
0.9%
대성사 3
 
0.9%
Other values (240) 269
84.9%
2024-04-06T19:17:55.980559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 152
 
11.7%
세 72
 
5.5%
탁 67
 
5.1%
크 37
 
2.8%
소 36
 
2.8%
리 33
 
2.5%
백 33
 
2.5%
대 31
 
2.4%
27
 
2.1%
닝 26
 
2.0%
Other values (212) 787
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1222
93.9%
Space Separator 27
 
2.1%
Lowercase Letter 18
 
1.4%
Decimal Number 10
 
0.8%
Uppercase Letter 8
 
0.6%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 152
 
12.4%
세 72
 
5.9%
탁 67
 
5.5%
크 37
 
3.0%
소 36
 
2.9%
리 33
 
2.7%
백 33
 
2.7%
대 31
 
2.5%
닝 26
 
2.1%
일 21
 
1.7%
Other values (187) 714
58.4%
Lowercase Letter
ValueCountFrequency (%)
o 4
22.2%
s 3
16.7%
e 3
16.7%
l 2
11.1%
u 2
11.1%
t 1
 
5.6%
n 1
 
5.6%
a 1
 
5.6%
r 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
R 1
12.5%
P 1
12.5%
I 1
12.5%
A 1
12.5%
K 1
12.5%
H 1
12.5%
S 1
12.5%
F 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
4 2
 
20.0%
5 2
 
20.0%
1 1
 
10.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1222
93.9%
Common 53
 
4.1%
Latin 26
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 152
 
12.4%
세 72
 
5.9%
탁 67
 
5.5%
크 37
 
3.0%
소 36
 
2.9%
리 33
 
2.7%
백 33
 
2.7%
대 31
 
2.5%
닝 26
 
2.1%
일 21
 
1.7%
Other values (187) 714
58.4%
Latin
ValueCountFrequency (%)
o 4
15.4%
s 3
11.5%
e 3
11.5%
l 2
 
7.7%
u 2
 
7.7%
R 1
 
3.8%
P 1
 
3.8%
I 1
 
3.8%
A 1
 
3.8%
t 1
 
3.8%
Other values (7) 7
26.9%
Common
ValueCountFrequency (%)
27
50.9%
( 7
 
13.2%
) 7
 
13.2%
2 5
 
9.4%
. 2
 
3.8%
4 2
 
3.8%
5 2
 
3.8%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1222
93.9%
ASCII 79
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 152
 
12.4%
세 72
 
5.9%
탁 67
 
5.5%
크 37
 
3.0%
소 36
 
2.9%
리 33
 
2.7%
백 33
 
2.7%
대 31
 
2.5%
닝 26
 
2.1%
일 21
 
1.7%
Other values (187) 714
58.4%
ASCII
ValueCountFrequency (%)
27
34.2%
( 7
 
8.9%
) 7
 
8.9%
2 5
 
6.3%
o 4
 
5.1%
s 3
 
3.8%
e 3
 
3.8%
. 2
 
2.5%
4 2
 
2.5%
l 2
 
2.5%
Other values (15) 17
21.5%

최종수정일자
Date

Distinct175
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1999-02-01 00:00:00
Maximum2024-03-29 16:17:15
2024-04-06T19:17:56.253773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:17:56.503394image/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
244 
U
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 244
84.1%
U 46
 
15.9%

Length

2024-04-06T19:17:56.769566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:56.965938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 244
84.1%
u 46
 
15.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct49
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2018-08-31 23:59:59.0
237 
2021-06-25 02:40:00.0
 
4
2021-12-05 23:06:00.0
 
2
2019-11-02 02:40:00.0
 
2
2022-11-01 21:01:00.0
 
1
Other values (44)
44 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique45 ?
Unique (%)15.5%

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 row2021-06-25 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 237
81.7%
2021-06-25 02:40:00.0 4
 
1.4%
2021-12-05 23:06:00.0 2
 
0.7%
2019-11-02 02:40:00.0 2
 
0.7%
2022-11-01 21:01:00.0 1
 
0.3%
2019-01-04 02:40:00.0 1
 
0.3%
2021-08-20 02:40:00.0 1
 
0.3%
2021-06-17 02:40:00.0 1
 
0.3%
2019-01-24 02:40:00.0 1
 
0.3%
2021-11-21 02:40:00.0 1
 
0.3%
Other values (39) 39
 
13.4%

Length

2024-04-06T19:17:57.167699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 237
40.9%
23:59:59.0 237
40.9%
02:40:00.0 28
 
4.8%
2021-06-25 4
 
0.7%
23:06:00.0 3
 
0.5%
2020-05-22 2
 
0.3%
21:00:00.0 2
 
0.3%
2022-10-30 2
 
0.3%
2020-03-11 2
 
0.3%
2022-12-04 2
 
0.3%
Other values (58) 61
 
10.5%

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반세탁업
279 
빨래방업
 
9
세탁업 기타
 
1
운동화전문세탁업
 
1

Length

Max length8
Median length5
Mean length4.9827586
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 279
96.2%
빨래방업 9
 
3.1%
세탁업 기타 1
 
0.3%
운동화전문세탁업 1
 
0.3%

Length

2024-04-06T19:17:57.390241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:57.640853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 279
95.9%
빨래방업 9
 
3.1%
세탁업 1
 
0.3%
기타 1
 
0.3%
운동화전문세탁업 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)89.4%
Missing27
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean198812.47
Minimum196112.96
Maximum201946.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T19:17:57.865144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196112.96
5-th percentile196263.13
Q1197271.93
median198967.95
Q3200247.5
95-th percentile201364.7
Maximum201946.87
Range5833.9095
Interquartile range (IQR)2975.5659

Descriptive statistics

Standard deviation1690.986
Coefficient of variation (CV)0.0085054321
Kurtosis-1.2262958
Mean198812.47
Median Absolute Deviation (MAD)1574.2057
Skewness0.068955869
Sum52287680
Variance2859433.6
MonotonicityNot monotonic
2024-04-06T19:17:58.158629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198881.740672767 3
 
1.0%
197337.798317095 3
 
1.0%
196467.975088253 3
 
1.0%
199628.341952094 2
 
0.7%
197236.775683545 2
 
0.7%
198668.519160597 2
 
0.7%
200907.140933508 2
 
0.7%
200987.468112397 2
 
0.7%
196219.977827014 2
 
0.7%
196196.102280624 2
 
0.7%
Other values (225) 240
82.8%
(Missing) 27
 
9.3%
ValueCountFrequency (%)
196112.95679095 2
0.7%
196116.651717549 1
0.3%
196116.811870725 1
0.3%
196135.652252064 1
0.3%
196171.32627844 1
0.3%
196196.102280624 2
0.7%
196219.977827014 2
0.7%
196234.090939884 1
0.3%
196235.290773556 2
0.7%
196255.220916644 1
0.3%
ValueCountFrequency (%)
201946.86632604 1
0.3%
201888.008721996 1
0.3%
201850.170132214 1
0.3%
201841.620012536 1
0.3%
201837.706250201 1
0.3%
201792.28928117 1
0.3%
201692.223115321 1
0.3%
201662.219874315 1
0.3%
201596.915665402 1
0.3%
201561.269565928 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)89.4%
Missing27
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean453143.61
Minimum451841.5
Maximum457107.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T19:17:58.431340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451841.5
5-th percentile452113.98
Q1452374.09
median452686.03
Q3453476.62
95-th percentile456017.13
Maximum457107.02
Range5265.5188
Interquartile range (IQR)1102.5302

Descriptive statistics

Standard deviation1162.7007
Coefficient of variation (CV)0.0025658548
Kurtosis1.7099105
Mean453143.61
Median Absolute Deviation (MAD)433.21704
Skewness1.6025768
Sum1.1917677 × 108
Variance1351872.9
MonotonicityNot monotonic
2024-04-06T19:17:58.741073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452357.294138759 3
 
1.0%
456035.380951779 3
 
1.0%
452566.134030104 3
 
1.0%
454024.649516557 2
 
0.7%
453053.607483716 2
 
0.7%
452866.612340098 2
 
0.7%
452513.674733073 2
 
0.7%
452407.542555422 2
 
0.7%
455785.251139376 2
 
0.7%
456120.471852388 2
 
0.7%
Other values (225) 240
82.8%
(Missing) 27
 
9.3%
ValueCountFrequency (%)
451841.500666989 1
0.3%
451917.451004767 1
0.3%
451929.432640046 1
0.3%
451954.40075646 1
0.3%
451971.881174387 1
0.3%
451976.887148847 1
0.3%
451996.781512423 1
0.3%
452019.212642931 1
0.3%
452030.0 1
0.3%
452053.37216059 1
0.3%
ValueCountFrequency (%)
457107.01947074 1
 
0.3%
456604.764554737 1
 
0.3%
456510.847272901 1
 
0.3%
456457.289965967 1
 
0.3%
456324.756758307 1
 
0.3%
456286.27922114 1
 
0.3%
456220.012148299 1
 
0.3%
456120.471852388 2
0.7%
456048.716300069 1
 
0.3%
456035.380951779 3
1.0%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반세탁업
262 
<NA>
 
19
빨래방업
 
7
세탁업 기타
 
1
운동화전문세탁업
 
1

Length

Max length8
Median length5
Mean length4.9241379
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 262
90.3%
<NA> 19
 
6.6%
빨래방업 7
 
2.4%
세탁업 기타 1
 
0.3%
운동화전문세탁업 1
 
0.3%

Length

2024-04-06T19:17:58.982310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:17:59.212677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 262
90.0%
na 19
 
6.5%
빨래방업 7
 
2.4%
세탁업 1
 
0.3%
기타 1
 
0.3%
운동화전문세탁업 1
 
0.3%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)7.3%
Missing153
Missing (%)52.8%
Infinite0
Infinite (%)0.0%
Mean1.6058394
Minimum0
Maximum102
Zeros98
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-06T19:17:59.373221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum102
Range102
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.9000642
Coefficient of variation (CV)5.5423127
Kurtosis121.4226
Mean1.6058394
Median Absolute Deviation (MAD)0
Skewness10.755213
Sum220
Variance79.211142
MonotonicityNot monotonic
2024-04-06T19:17:59.659952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 98
33.8%
1 13
 
4.5%
3 10
 
3.4%
2 6
 
2.1%
4 4
 
1.4%
5 2
 
0.7%
12 1
 
0.3%
9 1
 
0.3%
16 1
 
0.3%
102 1
 
0.3%
(Missing) 153
52.8%
ValueCountFrequency (%)
0 98
33.8%
1 13
 
4.5%
2 6
 
2.1%
3 10
 
3.4%
4 4
 
1.4%
5 2
 
0.7%
9 1
 
0.3%
12 1
 
0.3%
16 1
 
0.3%
102 1
 
0.3%
ValueCountFrequency (%)
102 1
 
0.3%
16 1
 
0.3%
12 1
 
0.3%
9 1
 
0.3%
5 2
 
0.7%
4 4
 
1.4%
3 10
 
3.4%
2 6
 
2.1%
1 13
 
4.5%
0 98
33.8%

건물지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
176 
0
104 
1
 
6
4
 
2
3
 
1

Length

Max length4
Median length4
Mean length2.8206897
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
60.7%
0 104
35.9%
1 6
 
2.1%
4 2
 
0.7%
3 1
 
0.3%
5 1
 
0.3%

Length

2024-04-06T19:17:59.881469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:00.118388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
60.7%
0 104
35.9%
1 6
 
2.1%
4 2
 
0.7%
3 1
 
0.3%
5 1
 
0.3%

사용시작지상층
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
144 
1
74 
0
69 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length2.4896552
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
49.7%
1 74
25.5%
0 69
23.8%
2 2
 
0.7%
3 1
 
0.3%

Length

2024-04-06T19:18:00.309990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:00.481963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
49.7%
1 74
25.5%
0 69
23.8%
2 2
 
0.7%
3 1
 
0.3%

사용끝지상층
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
136 
1
131 
0
21 
2
 
2

Length

Max length4
Median length1
Mean length2.4068966
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> 136
46.9%
1 131
45.2%
0 21
 
7.2%
2 2
 
0.7%

Length

2024-04-06T19:18:00.662055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:00.827772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
46.9%
1 131
45.2%
0 21
 
7.2%
2 2
 
0.7%

사용시작지하층
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
197 
0
75 
1
 
11
2
 
7

Length

Max length4
Median length4
Mean length3.037931
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> 197
67.9%
0 75
 
25.9%
1 11
 
3.8%
2 7
 
2.4%

Length

2024-04-06T19:18:01.032230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:01.210351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
67.9%
0 75
 
25.9%
1 11
 
3.8%
2 7
 
2.4%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
239 
0
34 
1
 
10
2
 
7

Length

Max length4
Median length4
Mean length3.4724138
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> 239
82.4%
0 34
 
11.7%
1 10
 
3.4%
2 7
 
2.4%

Length

2024-04-06T19:18:01.416414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:01.587910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 239
82.4%
0 34
 
11.7%
1 10
 
3.4%
2 7
 
2.4%

한실수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
180 
0
110 

Length

Max length4
Median length4
Mean length2.862069
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> 180
62.1%
0 110
37.9%

Length

2024-04-06T19:18:01.808427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:01.993378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
62.1%
0 110
37.9%

양실수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
180 
0
110 

Length

Max length4
Median length4
Mean length2.862069
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> 180
62.1%
0 110
37.9%

Length

2024-04-06T19:18:02.155110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:02.338439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
62.1%
0 110
37.9%

욕실수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
180 
0
110 

Length

Max length4
Median length4
Mean length2.862069
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> 180
62.1%
0 110
37.9%

Length

2024-04-06T19:18:02.529584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:02.719341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
62.1%
0 110
37.9%

발한실여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.7%
Missing22
Missing (%)7.6%
Memory size712.0 B
False
267 
True
 
1
(Missing)
 
22
ValueCountFrequency (%)
False 267
92.1%
True 1
 
0.3%
(Missing) 22
 
7.6%
2024-04-06T19:18:02.844864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
180 
0
110 

Length

Max length4
Median length4
Mean length2.862069
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> 180
62.1%
0 110
37.9%

Length

2024-04-06T19:18:03.016360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:03.221305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
62.1%
0 110
37.9%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing290
Missing (%)100.0%
Memory size2.7 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
258 
임대
27 
자가
 
5

Length

Max length4
Median length4
Mean length3.7793103
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> 258
89.0%
임대 27
 
9.3%
자가 5
 
1.7%

Length

2024-04-06T19:18:03.423447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:03.623801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
89.0%
임대 27
 
9.3%
자가 5
 
1.7%

세탁기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
221 
0
31 
1
 
18
2
 
13
4
 
4

Length

Max length4
Median length4
Mean length3.2862069
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> 221
76.2%
0 31
 
10.7%
1 18
 
6.2%
2 13
 
4.5%
4 4
 
1.4%
3 3
 
1.0%

Length

2024-04-06T19:18:03.793369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:03.954515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
76.2%
0 31
 
10.7%
1 18
 
6.2%
2 13
 
4.5%
4 4
 
1.4%
3 3
 
1.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
269 
0
 
21

Length

Max length4
Median length4
Mean length3.7827586
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> 269
92.8%
0 21
 
7.2%

Length

2024-04-06T19:18:04.195372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:04.395476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 269
92.8%
0 21
 
7.2%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
269 
0
 
19
1
 
2

Length

Max length4
Median length4
Mean length3.7827586
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> 269
92.8%
0 19
 
6.6%
1 2
 
0.7%

Length

2024-04-06T19:18:04.636351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:04.821878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 269
92.8%
0 19
 
6.6%
1 2
 
0.7%

회수건조수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
220 
0
44 
1
 
20
2
 
4
5
 
1

Length

Max length4
Median length4
Mean length3.2758621
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 220
75.9%
0 44
 
15.2%
1 20
 
6.9%
2 4
 
1.4%
5 1
 
0.3%
3 1
 
0.3%

Length

2024-04-06T19:18:04.994689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:05.198942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 220
75.9%
0 44
 
15.2%
1 20
 
6.9%
2 4
 
1.4%
5 1
 
0.3%
3 1
 
0.3%

침대수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
225 
0
65 

Length

Max length4
Median length4
Mean length3.3275862
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> 225
77.6%
0 65
 
22.4%

Length

2024-04-06T19:18:05.393010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:18:05.546481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
77.6%
0 65
 
22.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing19
Missing (%)6.6%
Memory size712.0 B
False
271 
(Missing)
 
19
ValueCountFrequency (%)
False 271
93.4%
(Missing) 19
 
6.6%
2024-04-06T19:18:05.670886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030000003000000-205-1987-0148719870608<NA>3폐업2폐업20130225<NA><NA><NA>02 743138123.04110521서울특별시 종로구 명륜1가 68-16번지<NA><NA>백성사2003-03-04 00:00:00I2018-08-31 23:59:59.0일반세탁업199638.286884453893.263104일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
130000003000000-205-1987-0148819870608<NA>3폐업2폐업20040217<NA><NA><NA>02 762389230.0110522서울특별시 종로구 명륜2가 29-0번지<NA><NA>현대컴퓨터크리닝2003-03-04 00:00:00I2018-08-31 23:59:59.0일반세탁업199996.843749453479.393907일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
230000003000000-205-1987-0148919870608<NA>3폐업2폐업20130111<NA><NA><NA>02 743115122.0110811서울특별시 종로구 명륜3가 1-114번지<NA><NA>현대사2003-03-04 00:00:00I2018-08-31 23:59:59.0일반세탁업199374.280432454179.851357일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
330000003000000-205-1987-0149019870608<NA>3폐업2폐업20030225<NA><NA><NA>02 762673138.2110522서울특별시 종로구 명륜2가 216-2번지<NA><NA>삼청사2003-02-25 00:00:00I2018-08-31 23:59:59.0일반세탁업199703.068265453532.305547일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
430000003000000-205-1987-0149119870608<NA>1영업/정상1영업<NA><NA><NA><NA>020763941916.5110410서울특별시 종로구 인의동 48-14서울특별시 종로구 종로31길 29, 1층 (인의동)3130광명사2021-06-23 17:47:47U2021-06-25 02:40:00.0일반세탁업199873.533595452205.522037일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
530000003000000-205-1987-0149219870608<NA>3폐업2폐업20190102<NA><NA><NA>02 742624921.57110450서울특별시 종로구 원남동 86-6번지서울특별시 종로구 창경궁로20길 5 (원남동)3127한일사2019-01-02 13:35:54U2019-01-04 02:40:00.0일반세탁업199735.163166452540.472771일반세탁업1<NA><NA>1<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
630000003000000-205-1987-0149319870608<NA>3폐업2폐업20060829<NA><NA><NA>02027523726.96110834서울특별시 종로구 예지동 88-16번지<NA><NA>서울사2006-08-29 00:00:00I2018-08-31 23:59:59.0일반세탁업199574.718766451976.887149일반세탁업<NA><NA><NA>1<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
730000003000000-205-1987-0149419870608<NA>3폐업2폐업20140509<NA><NA><NA>02 765381417.0110809서울특별시 종로구 동숭동 19-3번지서울특별시 종로구 동숭4길 7 (동숭동)3084백광사2003-03-04 00:00:00I2018-08-31 23:59:59.0일반세탁업200291.746699453443.161417일반세탁업3<NA>11<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
830000003000000-205-1987-0149519870608<NA>3폐업2폐업20140327<NA><NA><NA>02 736858020.45110092서울특별시 종로구 홍파동 40-5번지서울특별시 종로구 통일로10길 31 (홍파동)<NA>대신사2003-03-04 00:00:00I2018-08-31 23:59:59.0일반세탁업196748.67474452094.601174일반세탁업<NA><NA><NA>1<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
930000003000000-205-1987-0149619870608<NA>1영업/정상1영업<NA><NA><NA><NA>02 379986728.12110831서울특별시 종로구 신영동 240번지서울특별시 종로구 진흥로 484 (신영동)3013세영사2018-06-18 16:07:54I2018-08-31 23:59:59.0일반세탁업196444.724457455869.049851일반세탁업000100000N0<NA><NA><NA><NA>0<NA><NA>00N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
28030000003000000-205-2017-0000420170818<NA>3폐업2폐업20191031<NA><NA><NA><NA>35.48110020서울특별시 종로구 홍지동 46-1번지서울특별시 종로구 홍지문길 7, 1층 (홍지동)3015해피해피 운동화 손세탁2019-10-31 11:39:16U2019-11-02 02:40:00.0운동화전문세탁업196116.651718455315.465683운동화전문세탁업00<NA><NA><NA><NA>000N0<NA><NA><NA>임대00000N
28130000003000000-205-2018-0000120180413<NA>1영업/정상1영업<NA><NA><NA><NA>02 765 18118.23110320서울특별시 종로구 낙원동 49번지 1층서울특별시 종로구 삼일대로 434-1, 1층 (낙원동)3133한일사2018-04-13 15:08:49I2018-08-31 23:59:59.0일반세탁업198881.740673452357.294139일반세탁업0011<NA><NA>000N0<NA><NA><NA><NA>10000N
28230000003000000-205-2018-0000220180521<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.54110521서울특별시 종로구 명륜1가 10-1번지 1층서울특별시 종로구 성균관로 65, 1층 (명륜1가)3070클린포뷰티2018-05-21 14:23:28I2018-08-31 23:59:59.0일반세탁업199628.341952454024.649517일반세탁업0011<NA><NA>000N0<NA><NA><NA>임대20030N
28330000003000000-205-2020-0000120200309<NA>1영업/정상1영업<NA><NA><NA><NA><NA>65.8110803서울특별시 종로구 구기동 40번지 동익빌라 상가동 11호서울특별시 종로구 홍지문길 64, 상가동 11호 (구기동, 동익빌라)3013크린에이드2020-03-09 16:20:44I2020-03-11 00:23:22.0일반세탁업196219.977827455785.251139일반세탁업00<NA><NA><NA><NA>000N0<NA><NA><NA>자가30020N
28430000003000000-205-2020-0000220200520<NA>1영업/정상1영업<NA><NA><NA><NA><NA>76.85110053서울특별시 종로구 내자동 201-11번지 서울지방경찰청서울특별시 종로구 사직로8길 31, 서울지방경찰청 지하1층 (내자동)3169세탁소2020-05-20 11:03:45I2020-05-22 00:23:19.0일반세탁업197462.41664452525.858417일반세탁업00<NA><NA>1<NA>000N0<NA><NA><NA><NA>20020N
28530000003000000-205-2020-000032020-07-08<NA>3폐업2폐업2023-10-25<NA><NA><NA><NA>11.9110-862서울특별시 종로구 숭인동 72-87서울특별시 종로구 종로63다길 4, 1층 (숭인동)3113영남세탁2023-10-25 15:27:42U2022-10-30 22:07:00.0일반세탁업201561.269566452460.921611<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28630000003000000-205-2020-0000420201116<NA>1영업/정상1영업<NA><NA><NA><NA><NA>49.02110092서울특별시 종로구 홍파동 199 경희궁자이 2단지 상가동동 2118호서울특별시 종로구 송월길 99, 경희궁자이 상가동 1층 2118호 (홍파동, 경희궁자이 2단지)3165제이 크리닝2020-11-16 15:45:27I2020-11-18 00:23:08.0일반세탁업196790.337498452053.372161일반세탁업0011<NA><NA>000N0<NA><NA><NA><NA>10010N
28730000003000000-205-2021-0000120210513<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.0110862서울특별시 종로구 숭인동 72-47서울특별시 종로구 종로57길 22, 102호 (숭인동)3113대영드라이크리닝2021-05-13 12:02:01I2021-05-15 00:22:56.0일반세탁업201401.146521452451.610483일반세탁업1020<NA><NA><NA><NA>000N0<NA><NA><NA><NA>10010N
28830000003000000-205-2022-0000120220613<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.75110901서울특별시 종로구 내수동 95 경희궁 파크팰리스서울특별시 종로구 사직로8길 20, 지하1층 104호 (내수동, 경희궁 파크팰리스)3174동명사2022-06-13 15:25:55I2021-12-05 23:06:00.0일반세탁업197329.898847452432.501606<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28930000003000000-205-2023-000012023-06-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.1110-521서울특별시 종로구 명륜1가 46-9서울특별시 종로구 혜화로 11, 1층 (명륜1가)3068세담방2023-06-28 11:18:10I2022-12-05 21:00:00.0빨래방업199938.394948453805.179644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>