Overview

Dataset statistics

Number of variables47
Number of observations680
Missing cells6553
Missing cells (%)20.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory269.1 KiB
Average record size in memory405.2 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric7
Boolean2

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,건물지상층수,건물지하층수,사용시작지상층,사용끝지상층,사용시작지하층,사용끝지하층,한실수,양실수,욕실수,발한실여부,좌석수,조건부허가신고사유,조건부허가시작일자,조건부허가종료일자,건물소유구분명,세탁기수,여성종사자수,남성종사자수,회수건조수,침대수,다중이용업소여부
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17951/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (98.4%)Imbalance
위생업태명 is highly imbalanced (61.6%)Imbalance
사용끝지상층 is highly imbalanced (50.1%)Imbalance
사용끝지하층 is highly imbalanced (50.8%)Imbalance
여성종사자수 is highly imbalanced (72.5%)Imbalance
남성종사자수 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 680 (100.0%) missing valuesMissing
폐업일자 has 114 (16.8%) missing valuesMissing
휴업시작일자 has 680 (100.0%) missing valuesMissing
휴업종료일자 has 680 (100.0%) missing valuesMissing
재개업일자 has 680 (100.0%) missing valuesMissing
전화번호 has 144 (21.2%) missing valuesMissing
도로명주소 has 456 (67.1%) missing valuesMissing
도로명우편번호 has 460 (67.6%) missing valuesMissing
좌표정보(X) has 35 (5.1%) missing valuesMissing
좌표정보(Y) has 35 (5.1%) missing valuesMissing
건물지상층수 has 156 (22.9%) missing valuesMissing
건물지하층수 has 207 (30.4%) missing valuesMissing
발한실여부 has 56 (8.2%) missing valuesMissing
좌석수 has 79 (11.6%) missing valuesMissing
조건부허가신고사유 has 680 (100.0%) missing valuesMissing
조건부허가시작일자 has 680 (100.0%) missing valuesMissing
조건부허가종료일자 has 680 (100.0%) missing valuesMissing
다중이용업소여부 has 51 (7.5%) missing valuesMissing
좌석수 is highly skewed (γ1 = 21.70912598)Skewed
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 26 (3.8%) zerosZeros
건물지상층수 has 271 (39.9%) zerosZeros
건물지하층수 has 280 (41.2%) zerosZeros

Reproduction

Analysis started2024-04-06 11:58:33.053038
Analysis finished2024-04-06 11:58:34.765520
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
3240000
680 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 680
100.0%

Length

2024-04-06T20:58:34.923767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:35.096657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 680
100.0%

관리번호
Text

UNIQUE 

Distinct680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-06T20:58:35.418490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14960
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

Unique680 ?
Unique (%)100.0%

Sample

1st row3240000-203-1979-00371
2nd row3240000-203-1979-00381
3rd row3240000-203-1982-00368
4th row3240000-203-1982-00379
5th row3240000-203-1982-00380
ValueCountFrequency (%)
3240000-203-1979-00371 1
 
0.1%
3240000-203-2003-00034 1
 
0.1%
3240000-203-2003-00027 1
 
0.1%
3240000-203-2003-00045 1
 
0.1%
3240000-203-2003-00028 1
 
0.1%
3240000-203-2003-00029 1
 
0.1%
3240000-203-2003-00030 1
 
0.1%
3240000-203-2003-00031 1
 
0.1%
3240000-203-2003-00032 1
 
0.1%
3240000-203-2003-00033 1
 
0.1%
Other values (670) 670
98.5%
2024-04-06T20:58:35.992262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5798
38.8%
- 2040
 
13.6%
2 1991
 
13.3%
3 1693
 
11.3%
4 904
 
6.0%
1 860
 
5.7%
9 609
 
4.1%
8 363
 
2.4%
6 255
 
1.7%
7 246
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12920
86.4%
Dash Punctuation 2040
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5798
44.9%
2 1991
 
15.4%
3 1693
 
13.1%
4 904
 
7.0%
1 860
 
6.7%
9 609
 
4.7%
8 363
 
2.8%
6 255
 
2.0%
7 246
 
1.9%
5 201
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 2040
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5798
38.8%
- 2040
 
13.6%
2 1991
 
13.3%
3 1693
 
11.3%
4 904
 
6.0%
1 860
 
5.7%
9 609
 
4.1%
8 363
 
2.4%
6 255
 
1.7%
7 246
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5798
38.8%
- 2040
 
13.6%
2 1991
 
13.3%
3 1693
 
11.3%
4 904
 
6.0%
1 860
 
5.7%
9 609
 
4.1%
8 363
 
2.4%
6 255
 
1.7%
7 246
 
1.6%

인허가일자
Date

Distinct510
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1979-11-13 00:00:00
Maximum2024-01-26 00:00:00
2024-04-06T20:58:36.287075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:58:36.578421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
3
566 
1
114 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 566
83.2%
1 114
 
16.8%

Length

2024-04-06T20:58:36.921715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:37.158860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 566
83.2%
1 114
 
16.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
폐업
566 
영업/정상
114 

Length

Max length5
Median length2
Mean length2.5029412
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 566
83.2%
영업/정상 114
 
16.8%

Length

2024-04-06T20:58:37.378646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:37.651600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 566
83.2%
영업/정상 114
 
16.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2
566 
1
114 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 566
83.2%
1 114
 
16.8%

Length

2024-04-06T20:58:37.870019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:38.063588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 566
83.2%
1 114
 
16.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
폐업
566 
영업
114 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 566
83.2%
영업 114
 
16.8%

Length

2024-04-06T20:58:38.253745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:38.492408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 566
83.2%
영업 114
 
16.8%

폐업일자
Date

MISSING 

Distinct400
Distinct (%)70.7%
Missing114
Missing (%)16.8%
Memory size5.4 KiB
Minimum1992-07-21 00:00:00
Maximum2024-01-30 00:00:00
2024-04-06T20:58:38.687909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:58:38.934478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

전화번호
Text

MISSING 

Distinct424
Distinct (%)79.1%
Missing144
Missing (%)21.2%
Memory size5.4 KiB
2024-04-06T20:58:39.374100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.3134328
Min length2

Characters and Unicode

Total characters4992
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

Unique395 ?
Unique (%)73.7%

Sample

1st row0234261925
2nd row0204857893
3rd row0204759754
4th row0204843082
5th row02 4299101
ValueCountFrequency (%)
02 399
43.4%
0200000000 19
 
2.1%
00000 12
 
1.3%
0 6
 
0.7%
4858200 3
 
0.3%
4842245 3
 
0.3%
426 3
 
0.3%
472 3
 
0.3%
441 3
 
0.3%
4843113 2
 
0.2%
Other values (439) 467
50.8%
2024-04-06T20:58:40.117030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1068
21.4%
2 911
18.2%
4 653
13.1%
457
9.2%
7 400
 
8.0%
8 399
 
8.0%
3 227
 
4.5%
9 226
 
4.5%
5 220
 
4.4%
1 216
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4535
90.8%
Space Separator 457
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1068
23.6%
2 911
20.1%
4 653
14.4%
7 400
 
8.8%
8 399
 
8.8%
3 227
 
5.0%
9 226
 
5.0%
5 220
 
4.9%
1 216
 
4.8%
6 215
 
4.7%
Space Separator
ValueCountFrequency (%)
457
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4992
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1068
21.4%
2 911
18.2%
4 653
13.1%
457
9.2%
7 400
 
8.0%
8 399
 
8.0%
3 227
 
4.5%
9 226
 
4.5%
5 220
 
4.4%
1 216
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1068
21.4%
2 911
18.2%
4 653
13.1%
457
9.2%
7 400
 
8.0%
8 399
 
8.0%
3 227
 
4.5%
9 226
 
4.5%
5 220
 
4.4%
1 216
 
4.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct351
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.447368
Minimum0
Maximum231
Zeros26
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:40.470856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q113.4
median23
Q335.24
95-th percentile99
Maximum231
Range231
Interquartile range (IQR)21.84

Descriptive statistics

Standard deviation31.632361
Coefficient of variation (CV)0.97488221
Kurtosis6.971264
Mean32.447368
Median Absolute Deviation (MAD)10
Skewness2.3771413
Sum22064.21
Variance1000.6063
MonotonicityNot monotonic
2024-04-06T20:58:40.751196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 33
 
4.9%
0.0 26
 
3.8%
33.0 23
 
3.4%
26.4 23
 
3.4%
23.1 18
 
2.6%
19.8 13
 
1.9%
10.0 13
 
1.9%
16.5 12
 
1.8%
20.0 11
 
1.6%
6.6 10
 
1.5%
Other values (341) 498
73.2%
ValueCountFrequency (%)
0.0 26
3.8%
3.3 1
 
0.1%
5.0 2
 
0.3%
6.0 2
 
0.3%
6.6 10
 
1.5%
6.7 2
 
0.3%
7.52 2
 
0.3%
8.0 2
 
0.3%
8.03 1
 
0.1%
8.1 1
 
0.1%
ValueCountFrequency (%)
231.0 1
 
0.1%
198.0 2
 
0.3%
175.21 1
 
0.1%
175.0 1
 
0.1%
165.0 1
 
0.1%
150.75 1
 
0.1%
149.27 1
 
0.1%
141.75 1
 
0.1%
132.0 7
1.0%
130.35 1
 
0.1%

소재지우편번호
Text

Distinct107
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-06T20:58:41.159737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0397059
Min length6

Characters and Unicode

Total characters4107
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

Unique36 ?
Unique (%)5.3%

Sample

1st row134830
2nd row134857
3rd row134859
4th row134877
5th row134859
ValueCountFrequency (%)
134830 37
 
5.4%
134814 30
 
4.4%
134877 24
 
3.5%
134864 24
 
3.5%
134867 24
 
3.5%
134874 23
 
3.4%
134822 21
 
3.1%
134880 21
 
3.1%
134841 19
 
2.8%
134859 18
 
2.6%
Other values (97) 439
64.6%
2024-04-06T20:58:41.847690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 880
21.4%
1 867
21.1%
3 787
19.2%
8 743
18.1%
0 197
 
4.8%
7 190
 
4.6%
6 148
 
3.6%
5 119
 
2.9%
2 89
 
2.2%
9 60
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4080
99.3%
Dash Punctuation 27
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 880
21.6%
1 867
21.2%
3 787
19.3%
8 743
18.2%
0 197
 
4.8%
7 190
 
4.7%
6 148
 
3.6%
5 119
 
2.9%
2 89
 
2.2%
9 60
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 880
21.4%
1 867
21.1%
3 787
19.2%
8 743
18.1%
0 197
 
4.8%
7 190
 
4.6%
6 148
 
3.6%
5 119
 
2.9%
2 89
 
2.2%
9 60
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 880
21.4%
1 867
21.1%
3 787
19.2%
8 743
18.1%
0 197
 
4.8%
7 190
 
4.6%
6 148
 
3.6%
5 119
 
2.9%
2 89
 
2.2%
9 60
 
1.5%

지번주소
Text

Distinct588
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-06T20:58:42.496782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length23.498529
Min length16

Characters and Unicode

Total characters15979
Distinct characters153
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

Unique517 ?
Unique (%)76.0%

Sample

1st row서울특별시 강동구 명일동 322-1
2nd row서울특별시 강동구 암사동 466-0번지
3rd row서울특별시 강동구 암사동 493-10번지
4th row서울특별시 강동구 암사동 549-3번지
5th row서울특별시 강동구 암사동 494-9
ValueCountFrequency (%)
서울특별시 680
22.6%
강동구 680
22.6%
천호동 166
 
5.5%
성내동 149
 
4.9%
길동 110
 
3.7%
암사동 83
 
2.8%
명일동 65
 
2.2%
1층 48
 
1.6%
둔촌동 44
 
1.5%
고덕동 34
 
1.1%
Other values (684) 952
31.6%
2024-04-06T20:58:43.401901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2925
18.3%
동 1385
 
8.7%
강 693
 
4.3%
시 686
 
4.3%
서 680
 
4.3%
특 680
 
4.3%
별 680
 
4.3%
구 680
 
4.3%
울 680
 
4.3%
지 607
 
3.8%
Other values (143) 6283
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9280
58.1%
Decimal Number 3121
 
19.5%
Space Separator 2925
 
18.3%
Dash Punctuation 604
 
3.8%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Uppercase Letter 7
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1385
14.9%
강 693
 
7.5%
시 686
 
7.4%
서 680
 
7.3%
특 680
 
7.3%
별 680
 
7.3%
구 680
 
7.3%
울 680
 
7.3%
지 607
 
6.5%
번 559
 
6.0%
Other values (121) 1950
21.0%
Decimal Number
ValueCountFrequency (%)
1 596
19.1%
4 486
15.6%
3 397
12.7%
2 380
12.2%
5 327
10.5%
0 245
7.9%
6 210
 
6.7%
8 165
 
5.3%
9 161
 
5.2%
7 154
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
71.4%
S 1
 
14.3%
G 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
y 1
33.3%
m 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
2925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9280
58.1%
Common 6689
41.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1385
14.9%
강 693
 
7.5%
시 686
 
7.4%
서 680
 
7.3%
특 680
 
7.3%
별 680
 
7.3%
구 680
 
7.3%
울 680
 
7.3%
지 607
 
6.5%
번 559
 
6.0%
Other values (121) 1950
21.0%
Common
ValueCountFrequency (%)
2925
43.7%
- 604
 
9.0%
1 596
 
8.9%
4 486
 
7.3%
3 397
 
5.9%
2 380
 
5.7%
5 327
 
4.9%
0 245
 
3.7%
6 210
 
3.1%
8 165
 
2.5%
Other values (6) 354
 
5.3%
Latin
ValueCountFrequency (%)
A 5
50.0%
g 1
 
10.0%
y 1
 
10.0%
m 1
 
10.0%
S 1
 
10.0%
G 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9280
58.1%
ASCII 6699
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2925
43.7%
- 604
 
9.0%
1 596
 
8.9%
4 486
 
7.3%
3 397
 
5.9%
2 380
 
5.7%
5 327
 
4.9%
0 245
 
3.7%
6 210
 
3.1%
8 165
 
2.5%
Other values (12) 364
 
5.4%
Hangul
ValueCountFrequency (%)
동 1385
14.9%
강 693
 
7.5%
시 686
 
7.4%
서 680
 
7.3%
특 680
 
7.3%
별 680
 
7.3%
구 680
 
7.3%
울 680
 
7.3%
지 607
 
6.5%
번 559
 
6.0%
Other values (121) 1950
21.0%

도로명주소
Text

MISSING 

Distinct217
Distinct (%)96.9%
Missing456
Missing (%)67.1%
Memory size5.4 KiB
2024-04-06T20:58:43.933777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44.5
Mean length30.986607
Min length21

Characters and Unicode

Total characters6941
Distinct characters143
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)94.2%

Sample

1st row서울특별시 강동구 구천면로 385 (명일동)
2nd row서울특별시 강동구 암사길 8 (암사동)
3rd row서울특별시 강동구 구천면로34길 41 (천호동)
4th row서울특별시 강동구 올림픽로80길 53, 1층 (천호동)
5th row서울특별시 강동구 천중로39길 14 (천호동)
ValueCountFrequency (%)
서울특별시 224
 
16.4%
강동구 224
 
16.4%
1층 68
 
5.0%
천호동 51
 
3.7%
성내동 45
 
3.3%
길동 27
 
2.0%
암사동 23
 
1.7%
명일동 22
 
1.6%
고덕동 17
 
1.2%
둔촌동 16
 
1.2%
Other values (345) 653
47.7%
2024-04-06T20:58:44.688403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1147
 
16.5%
동 476
 
6.9%
1 352
 
5.1%
구 243
 
3.5%
) 233
 
3.4%
( 233
 
3.4%
강 233
 
3.4%
시 227
 
3.3%
서 224
 
3.2%
울 224
 
3.2%
Other values (133) 3349
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3976
57.3%
Decimal Number 1160
 
16.7%
Space Separator 1147
 
16.5%
Close Punctuation 233
 
3.4%
Open Punctuation 233
 
3.4%
Other Punctuation 179
 
2.6%
Dash Punctuation 10
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 476
 
12.0%
구 243
 
6.1%
강 233
 
5.9%
시 227
 
5.7%
서 224
 
5.6%
울 224
 
5.6%
별 224
 
5.6%
특 224
 
5.6%
로 221
 
5.6%
길 178
 
4.5%
Other values (115) 1502
37.8%
Decimal Number
ValueCountFrequency (%)
1 352
30.3%
2 154
13.3%
0 115
 
9.9%
5 108
 
9.3%
3 95
 
8.2%
6 95
 
8.2%
4 86
 
7.4%
8 56
 
4.8%
7 53
 
4.6%
9 46
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
1147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Other Punctuation
ValueCountFrequency (%)
, 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3976
57.3%
Common 2962
42.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 476
 
12.0%
구 243
 
6.1%
강 233
 
5.9%
시 227
 
5.7%
서 224
 
5.6%
울 224
 
5.6%
별 224
 
5.6%
특 224
 
5.6%
로 221
 
5.6%
길 178
 
4.5%
Other values (115) 1502
37.8%
Common
ValueCountFrequency (%)
1147
38.7%
1 352
 
11.9%
) 233
 
7.9%
( 233
 
7.9%
, 179
 
6.0%
2 154
 
5.2%
0 115
 
3.9%
5 108
 
3.6%
3 95
 
3.2%
6 95
 
3.2%
Other values (5) 251
 
8.5%
Latin
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3976
57.3%
ASCII 2965
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1147
38.7%
1 352
 
11.9%
) 233
 
7.9%
( 233
 
7.9%
, 179
 
6.0%
2 154
 
5.2%
0 115
 
3.9%
5 108
 
3.6%
3 95
 
3.2%
6 95
 
3.2%
Other values (8) 254
 
8.6%
Hangul
ValueCountFrequency (%)
동 476
 
12.0%
구 243
 
6.1%
강 233
 
5.9%
시 227
 
5.7%
서 224
 
5.6%
울 224
 
5.6%
별 224
 
5.6%
특 224
 
5.6%
로 221
 
5.6%
길 178
 
4.5%
Other values (115) 1502
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)50.9%
Missing460
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean5317.9727
Minimum5209
Maximum5411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:44.966123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5209
5-th percentile5222
Q15266.25
median5324.5
Q35370
95-th percentile5402.05
Maximum5411
Range202
Interquartile range (IQR)103.75

Descriptive statistics

Standard deviation56.68272
Coefficient of variation (CV)0.010658708
Kurtosis-1.1644505
Mean5317.9727
Median Absolute Deviation (MAD)51.5
Skewness-0.15689605
Sum1169954
Variance3212.9308
MonotonicityNot monotonic
2024-04-06T20:58:45.206175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5328 6
 
0.9%
5335 6
 
0.9%
5222 6
 
0.9%
5399 5
 
0.7%
5268 5
 
0.7%
5337 4
 
0.6%
5385 4
 
0.6%
5310 4
 
0.6%
5372 4
 
0.6%
5364 4
 
0.6%
Other values (102) 172
 
25.3%
(Missing) 460
67.6%
ValueCountFrequency (%)
5209 1
 
0.1%
5211 1
 
0.1%
5219 1
 
0.1%
5220 1
 
0.1%
5221 2
 
0.3%
5222 6
0.9%
5224 1
 
0.1%
5226 2
 
0.3%
5227 1
 
0.1%
5229 1
 
0.1%
ValueCountFrequency (%)
5411 1
 
0.1%
5408 1
 
0.1%
5407 1
 
0.1%
5406 1
 
0.1%
5405 2
 
0.3%
5404 4
0.6%
5403 1
 
0.1%
5402 1
 
0.1%
5399 5
0.7%
5397 1
 
0.1%

사업장명
Text

Distinct518
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-06T20:58:45.797861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length4.0941176
Min length1

Characters and Unicode

Total characters2784
Distinct characters330
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)61.5%

Sample

1st row부여
2nd row송은
3rd row현대
4th row은혜
5th row충무
ValueCountFrequency (%)
태후사랑 13
 
1.8%
현대 9
 
1.2%
이용원 8
 
1.1%
바버샵 6
 
0.8%
남양 5
 
0.7%
퍼시픽 5
 
0.7%
둔촌이용원 4
 
0.6%
영동 4
 
0.6%
동아이용원 4
 
0.6%
대성이용원 4
 
0.6%
Other values (527) 665
91.5%
2024-04-06T20:58:46.669243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 281
 
10.1%
원 241
 
8.7%
용 231
 
8.3%
성 87
 
3.1%
동 55
 
2.0%
대 50
 
1.8%
47
 
1.7%
사 46
 
1.7%
우 44
 
1.6%
나 41
 
1.5%
Other values (320) 1661
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2667
95.8%
Space Separator 47
 
1.7%
Uppercase Letter 23
 
0.8%
Lowercase Letter 17
 
0.6%
Decimal Number 16
 
0.6%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 281
 
10.5%
원 241
 
9.0%
용 231
 
8.7%
성 87
 
3.3%
동 55
 
2.1%
대 50
 
1.9%
사 46
 
1.7%
우 44
 
1.6%
나 41
 
1.5%
일 39
 
1.5%
Other values (285) 1552
58.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
13.0%
A 3
13.0%
B 2
 
8.7%
M 2
 
8.7%
U 2
 
8.7%
E 1
 
4.3%
S 1
 
4.3%
V 1
 
4.3%
G 1
 
4.3%
J 1
 
4.3%
Other values (6) 6
26.1%
Lowercase Letter
ValueCountFrequency (%)
o 3
17.6%
r 3
17.6%
a 2
11.8%
p 1
 
5.9%
g 1
 
5.9%
h 1
 
5.9%
s 1
 
5.9%
e 1
 
5.9%
b 1
 
5.9%
y 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
8 5
31.2%
0 5
31.2%
2 4
25.0%
1 2
 
12.5%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2667
95.8%
Common 77
 
2.8%
Latin 40
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 281
 
10.5%
원 241
 
9.0%
용 231
 
8.7%
성 87
 
3.3%
동 55
 
2.1%
대 50
 
1.9%
사 46
 
1.7%
우 44
 
1.6%
나 41
 
1.5%
일 39
 
1.5%
Other values (285) 1552
58.2%
Latin
ValueCountFrequency (%)
o 3
 
7.5%
C 3
 
7.5%
r 3
 
7.5%
A 3
 
7.5%
a 2
 
5.0%
B 2
 
5.0%
M 2
 
5.0%
U 2
 
5.0%
E 1
 
2.5%
p 1
 
2.5%
Other values (18) 18
45.0%
Common
ValueCountFrequency (%)
47
61.0%
( 7
 
9.1%
) 7
 
9.1%
8 5
 
6.5%
0 5
 
6.5%
2 4
 
5.2%
1 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2667
95.8%
ASCII 117
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 281
 
10.5%
원 241
 
9.0%
용 231
 
8.7%
성 87
 
3.3%
동 55
 
2.1%
대 50
 
1.9%
사 46
 
1.7%
우 44
 
1.6%
나 41
 
1.5%
일 39
 
1.5%
Other values (285) 1552
58.2%
ASCII
ValueCountFrequency (%)
47
40.2%
( 7
 
6.0%
) 7
 
6.0%
8 5
 
4.3%
0 5
 
4.3%
2 4
 
3.4%
o 3
 
2.6%
C 3
 
2.6%
r 3
 
2.6%
A 3
 
2.6%
Other values (25) 30
25.6%

최종수정일자
Date

Distinct394
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1999-01-11 00:00:00
Maximum2024-01-30 15:44:54
2024-04-06T20:58:46.931261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:58:47.243799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
I
548 
U
132 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 548
80.6%
U 132
 
19.4%

Length

2024-04-06T20:58:47.535048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:47.709850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 548
80.6%
u 132
 
19.4%

데이터갱신일자
Date

Distinct85
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:01:00
2024-04-06T20:58:47.892601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:58:48.153947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
일반이용업
679 
이용업 기타
 
1

Length

Max length6
Median length5
Mean length5.0014706
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 679
99.9%
이용업 기타 1
 
0.1%

Length

2024-04-06T20:58:48.451468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:48.649488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 679
99.7%
이용업 1
 
0.1%
기타 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct473
Distinct (%)73.3%
Missing35
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean212081.75
Minimum210636.45
Maximum215784.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:49.279831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210636.45
5-th percentile210863.63
Q1211261.17
median211912.28
Q3212588.32
95-th percentile214838.9
Maximum215784.23
Range5147.779
Interquartile range (IQR)1327.1486

Descriptive statistics

Standard deviation1044.8142
Coefficient of variation (CV)0.0049264692
Kurtosis1.3992573
Mean212081.75
Median Absolute Deviation (MAD)656.24513
Skewness1.2130067
Sum1.3679273 × 108
Variance1091636.7
MonotonicityNot monotonic
2024-04-06T20:58:49.524728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211039.290221397 7
 
1.0%
212432.347754443 5
 
0.7%
210970.75707265 5
 
0.7%
211184.908454545 5
 
0.7%
211923.63898302 5
 
0.7%
212060.935103152 4
 
0.6%
210863.964122971 4
 
0.6%
211148.708405112 4
 
0.6%
213628.354436887 4
 
0.6%
212605.51141151 4
 
0.6%
Other values (463) 598
87.9%
(Missing) 35
 
5.1%
ValueCountFrequency (%)
210636.447352415 1
 
0.1%
210644.93682246 1
 
0.1%
210669.722533894 1
 
0.1%
210671.132768846 2
0.3%
210673.451063868 3
0.4%
210682.838396073 1
 
0.1%
210703.655818334 1
 
0.1%
210732.609714299 1
 
0.1%
210741.436603993 2
0.3%
210750.209556247 2
0.3%
ValueCountFrequency (%)
215784.2264 1
0.1%
215529.243568958 1
0.1%
215262.790485979 1
0.1%
215205.312340831 1
0.1%
215151.708939926 1
0.1%
215150.132527852 2
0.3%
215146.854075218 1
0.1%
215134.835680333 1
0.1%
215073.592252889 1
0.1%
215051.474081395 2
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct473
Distinct (%)73.3%
Missing35
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean448818.04
Minimum446598.59
Maximum452130.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:49.836955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446598.59
5-th percentile447323.86
Q1448059.84
median448713.99
Q3449613.06
95-th percentile450480.32
Maximum452130.33
Range5531.7379
Interquartile range (IQR)1553.2217

Descriptive statistics

Standard deviation1016.6004
Coefficient of variation (CV)0.0022650614
Kurtosis-0.61691337
Mean448818.04
Median Absolute Deviation (MAD)788.98345
Skewness0.20072646
Sum2.8948763 × 108
Variance1033476.4
MonotonicityNot monotonic
2024-04-06T20:58:50.141819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447345.67067272 7
 
1.0%
448732.683813851 5
 
0.7%
448713.31669728 5
 
0.7%
448405.548512088 5
 
0.7%
448277.752085468 5
 
0.7%
448068.174635177 4
 
0.6%
447784.798733406 4
 
0.6%
448411.95234808 4
 
0.6%
450199.900990678 4
 
0.6%
449330.09278728 4
 
0.6%
Other values (463) 598
87.9%
(Missing) 35
 
5.1%
ValueCountFrequency (%)
446598.591776331 1
0.1%
446692.439727784 1
0.1%
446824.910976521 1
0.1%
446851.325224794 1
0.1%
446872.29983338 1
0.1%
446893.337244184 2
0.3%
446921.590368548 1
0.1%
446932.064818443 1
0.1%
446932.653730601 1
0.1%
446959.181297857 1
0.1%
ValueCountFrequency (%)
452130.329696 1
0.1%
451680.499740453 1
0.1%
451525.890729024 1
0.1%
451105.958039247 1
0.1%
451072.378590993 1
0.1%
451049.255756892 1
0.1%
451033.368962438 1
0.1%
451018.678909611 1
0.1%
450980.928178785 1
0.1%
450956.102489715 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
일반이용업
629 
<NA>
 
51

Length

Max length5
Median length5
Mean length4.925
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 629
92.5%
<NA> 51
 
7.5%

Length

2024-04-06T20:58:50.459818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:50.668885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 629
92.5%
na 51
 
7.5%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)3.1%
Missing156
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean1.8435115
Minimum0
Maximum25
Zeros271
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:50.815683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6616632
Coefficient of variation (CV)1.4438008
Kurtosis18.074088
Mean1.8435115
Median Absolute Deviation (MAD)0
Skewness3.1340204
Sum966
Variance7.0844511
MonotonicityNot monotonic
2024-04-06T20:58:51.070292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 271
39.9%
3 86
 
12.6%
4 54
 
7.9%
2 45
 
6.6%
5 31
 
4.6%
1 13
 
1.9%
6 8
 
1.2%
8 3
 
0.4%
10 3
 
0.4%
7 3
 
0.4%
Other values (6) 7
 
1.0%
(Missing) 156
22.9%
ValueCountFrequency (%)
0 271
39.9%
1 13
 
1.9%
2 45
 
6.6%
3 86
 
12.6%
4 54
 
7.9%
5 31
 
4.6%
6 8
 
1.2%
7 3
 
0.4%
8 3
 
0.4%
9 2
 
0.3%
ValueCountFrequency (%)
25 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
15 1
 
0.1%
10 3
 
0.4%
9 2
 
0.3%
8 3
 
0.4%
7 3
 
0.4%
6 8
1.2%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.5%
Missing207
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean0.49471459
Minimum0
Maximum7
Zeros280
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:51.356580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1.4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.74537669
Coefficient of variation (CV)1.5066802
Kurtosis15.953179
Mean0.49471459
Median Absolute Deviation (MAD)0
Skewness2.8541763
Sum234
Variance0.55558641
MonotonicityNot monotonic
2024-04-06T20:58:51.542926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 280
41.2%
1 169
24.9%
2 14
 
2.1%
3 7
 
1.0%
5 1
 
0.1%
7 1
 
0.1%
4 1
 
0.1%
(Missing) 207
30.4%
ValueCountFrequency (%)
0 280
41.2%
1 169
24.9%
2 14
 
2.1%
3 7
 
1.0%
4 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 7
 
1.0%
2 14
 
2.1%
1 169
24.9%
0 280
41.2%

사용시작지상층
Categorical

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
289 
0
188 
1
149 
2
38 
3
 
14

Length

Max length4
Median length1
Mean length2.275
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 289
42.5%
0 188
27.6%
1 149
21.9%
2 38
 
5.6%
3 14
 
2.1%
4 2
 
0.3%

Length

2024-04-06T20:58:51.795226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:51.987669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
42.5%
0 188
27.6%
1 149
21.9%
2 38
 
5.6%
3 14
 
2.1%
4 2
 
0.3%

사용끝지상층
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
476 
1
141 
2
 
37
3
 
13
0
 
11

Length

Max length4
Median length4
Mean length3.1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 476
70.0%
1 141
 
20.7%
2 37
 
5.4%
3 13
 
1.9%
0 11
 
1.6%
4 2
 
0.3%

Length

2024-04-06T20:58:52.202432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:52.408001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 476
70.0%
1 141
 
20.7%
2 37
 
5.4%
3 13
 
1.9%
0 11
 
1.6%
4 2
 
0.3%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
356 
0
194 
1
107 
2
 
23

Length

Max length4
Median length4
Mean length2.5705882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 356
52.4%
0 194
28.5%
1 107
 
15.7%
2 23
 
3.4%

Length

2024-04-06T20:58:52.615251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:52.808520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 356
52.4%
0 194
28.5%
1 107
 
15.7%
2 23
 
3.4%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
536 
1
104 
2
 
23
0
 
17

Length

Max length4
Median length4
Mean length3.3647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 536
78.8%
1 104
 
15.3%
2 23
 
3.4%
0 17
 
2.5%

Length

2024-04-06T20:58:53.016561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:53.210522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 536
78.8%
1 104
 
15.3%
2 23
 
3.4%
0 17
 
2.5%

한실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
385 
0
295 

Length

Max length4
Median length4
Mean length2.6985294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 385
56.6%
0 295
43.4%

Length

2024-04-06T20:58:53.452222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:53.654066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
56.6%
0 295
43.4%

양실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
385 
0
295 

Length

Max length4
Median length4
Mean length2.6985294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 385
56.6%
0 295
43.4%

Length

2024-04-06T20:58:53.805453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:53.985358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
56.6%
0 295
43.4%

욕실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
385 
0
295 

Length

Max length4
Median length4
Mean length2.6985294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 385
56.6%
0 295
43.4%

Length

2024-04-06T20:58:54.196247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:54.387765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
56.6%
0 295
43.4%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing56
Missing (%)8.2%
Memory size1.5 KiB
False
624 
(Missing)
 
56
ValueCountFrequency (%)
False 624
91.8%
(Missing) 56
 
8.2%
2024-04-06T20:58:54.524273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  SKEWED 

Distinct16
Distinct (%)2.7%
Missing79
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean4.3311148
Minimum0
Maximum194
Zeros6
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T20:58:54.670535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q35
95-th percentile8
Maximum194
Range194
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.0733211
Coefficient of variation (CV)1.8640284
Kurtosis509.84956
Mean4.3311148
Median Absolute Deviation (MAD)1
Skewness21.709126
Sum2603
Variance65.178514
MonotonicityNot monotonic
2024-04-06T20:58:54.911266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 201
29.6%
2 133
19.6%
4 80
 
11.8%
5 41
 
6.0%
7 38
 
5.6%
8 38
 
5.6%
6 31
 
4.6%
9 16
 
2.4%
1 7
 
1.0%
0 6
 
0.9%
Other values (6) 10
 
1.5%
(Missing) 79
 
11.6%
ValueCountFrequency (%)
0 6
 
0.9%
1 7
 
1.0%
2 133
19.6%
3 201
29.6%
4 80
 
11.8%
5 41
 
6.0%
6 31
 
4.6%
7 38
 
5.6%
8 38
 
5.6%
9 16
 
2.4%
ValueCountFrequency (%)
194 1
 
0.1%
20 1
 
0.1%
14 1
 
0.1%
13 1
 
0.1%
11 1
 
0.1%
10 5
 
0.7%
9 16
2.4%
8 38
5.6%
7 38
5.6%
6 31
4.6%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing680
Missing (%)100.0%
Memory size6.1 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
371 
임대
306 
자가
 
3

Length

Max length4
Median length4
Mean length3.0911765
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 371
54.6%
임대 306
45.0%
자가 3
 
0.4%

Length

2024-04-06T20:58:55.184101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:55.370941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 371
54.6%
임대 306
45.0%
자가 3
 
0.4%

세탁기수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
564 
0
116 

Length

Max length4
Median length4
Mean length3.4882353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 564
82.9%
0 116
 
17.1%

Length

2024-04-06T20:58:55.577497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:55.757860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 564
82.9%
0 116
 
17.1%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
621 
0
 
58
2
 
1

Length

Max length4
Median length4
Mean length3.7397059
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 621
91.3%
0 58
 
8.5%
2 1
 
0.1%

Length

2024-04-06T20:58:55.957068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:56.156714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 621
91.3%
0 58
 
8.5%
2 1
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
621 
0
 
59

Length

Max length4
Median length4
Mean length3.7397059
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> 621
91.3%
0 59
 
8.7%

Length

2024-04-06T20:58:56.353297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:56.529811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 621
91.3%
0 59
 
8.7%

회수건조수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
571 
0
109 

Length

Max length4
Median length4
Mean length3.5191176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 571
84.0%
0 109
 
16.0%

Length

2024-04-06T20:58:56.706070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:56.870919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 571
84.0%
0 109
 
16.0%

침대수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
573 
0
107 

Length

Max length4
Median length4
Mean length3.5279412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 573
84.3%
0 107
 
15.7%

Length

2024-04-06T20:58:57.084660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:58:57.277457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 573
84.3%
0 107
 
15.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing51
Missing (%)7.5%
Memory size1.5 KiB
False
629 
(Missing)
 
51
ValueCountFrequency (%)
False 629
92.5%
(Missing) 51
 
7.5%
2024-04-06T20:58:57.417630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
032400003240000-203-1979-0037119791113<NA>1영업/정상1영업<NA><NA><NA><NA>023426192533.0134830서울특별시 강동구 명일동 322-1서울특별시 강동구 구천면로 385 (명일동)5257부여2021-07-13 17:24:42U2021-07-15 02:40:00.0일반이용업212439.089538449860.022437일반이용업311100000N5<NA><NA><NA>임대0<NA><NA>00N
132400003240000-203-1979-0038119791113<NA>3폐업2폐업20030225<NA><NA><NA>020485789317.2134857서울특별시 강동구 암사동 466-0번지<NA><NA>송은2003-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업211434.794136450177.789346일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
232400003240000-203-1982-0036819820511<NA>3폐업2폐업20030225<NA><NA><NA>020475975425.2134859서울특별시 강동구 암사동 493-10번지<NA><NA>현대2003-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업211703.829287449945.576959일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
332400003240000-203-1982-0037919821111<NA>3폐업2폐업20030225<NA><NA><NA>020484308215.08134877서울특별시 강동구 암사동 549-3번지<NA><NA>은혜2003-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
432400003240000-203-1982-0038019820928<NA>3폐업2폐업20220810<NA><NA><NA>02 429910123.1134859서울특별시 강동구 암사동 494-9서울특별시 강동구 암사길 8 (암사동)5262충무2022-08-10 15:06:43U2021-12-07 23:02:00.0일반이용업211466.349727449849.501237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
532400003240000-203-1982-0038219820817<NA>3폐업2폐업20030225<NA><NA><NA>020482290216.75134857서울특별시 강동구 암사동 462-3번지<NA><NA>정한2003-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업211349.725354450207.018195일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
632400003240000-203-1982-0038719820511<NA>1영업/정상1영업<NA><NA><NA><NA>020476327917.0134863서울특별시 강동구 천호동 395-71서울특별시 강동구 구천면로34길 41 (천호동)5330삼거리이용원2021-07-09 16:17:46U2021-07-11 02:40:00.0일반이용업211724.554026448924.129892일반이용업2<NA>11<NA><NA><NA><NA><NA>N3<NA><NA><NA>임대<NA><NA><NA><NA><NA>N
732400003240000-203-1982-0039419821209<NA>3폐업2폐업20030225<NA><NA><NA>020471293115.19134868서울특별시 강동구 천호동 334-8번지<NA><NA>원2003-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업210904.694467448972.529946일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
832400003240000-203-1982-0039519821207<NA>1영업/정상1영업<NA><NA><NA><NA>02048533829.9134870서울특별시 강동구 천호동 362-42서울특별시 강동구 올림픽로80길 53, 1층 (천호동)5324새마을2021-07-06 16:59:07U2021-07-08 02:40:00.0일반이용업211247.337052448959.413871일반이용업201100000N3<NA><NA><NA>임대0<NA><NA>00N
932400003240000-203-1982-0040519820511<NA>3폐업2폐업19941114<NA><NA><NA>020484311323.76134817서울특별시 강동구 둔촌동 87-7번지<NA><NA>원호2002-06-06 00:00:00I2018-08-31 23:59:59.0일반이용업212564.660855447560.771617일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
67032400003240000-203-2022-000042022-10-12<NA>3폐업2폐업2023-10-11<NA><NA><NA><NA>35.96134-877서울특별시 강동구 암사동 503-10 뱅크빌딩서울특별시 강동구 상암로3길 24, 104호 (암사동, 뱅크빌딩)5241나이스가이 암사역점2023-10-11 10:11:47U2022-10-30 23:03:00.0일반이용업211161.717104449924.596606<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67132400003240000-203-2022-000052022-10-17<NA>3폐업2폐업2024-01-30<NA><NA><NA><NA>98.5134-779서울특별시 강동구 천호동 572 현대백화점서울특별시 강동구 천호대로 1005, 현대백화점 6층 (천호동)5328마제스티바버샵 천호점2024-01-30 11:17:21U2023-12-02 00:01:00.0일반이용업210929.919694448537.406728<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67232400003240000-203-2023-0000120230102<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.0134806서울특별시 강동구 고덕동 657-8서울특별시 강동구 동남로85길 88, 1층 (고덕동)5227힐빌리바버샵 고덕2023-01-02 14:15:10I2022-12-01 00:04:00.0일반이용업213366.536227450927.634194<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67332400003240000-203-2023-000022023-03-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.0134-786서울특별시 강동구 명일동 44 신동아아파트서울특별시 강동구 고덕로62길 48, 신동아아파트 상가동 101호 (명일동)5268큐사랑2023-03-06 15:25:16I2022-12-03 00:08:00.0일반이용업213371.152528450173.900732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67432400003240000-203-2023-000032023-09-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13.0134-881서울특별시 강동구 길동 474 GS강동자이아파트서울특별시 강동구 천호대로199길 10, 상가동 103호 (길동, GS강동자이아파트)5348두피클리닉(해솔그린)2023-09-06 17:21:37I2022-12-09 00:08:00.0일반이용업213115.129485448395.566574<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67532400003240000-203-2023-000042023-11-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>98.51134-779서울특별시 강동구 천호동 572 현대백화점서울특별시 강동구 천호대로 1005, 현대백화점 6층 (천호동)5328마제스티 바버샵2023-11-27 14:29:08I2022-10-31 22:09:00.0일반이용업210929.919694448537.406728<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67632400003240000-203-2023-000052023-12-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 426 691137.75134-080서울특별시 강동구 고덕동 693 고덕그라시움(제1상가)서울특별시 강동구 고덕로 353, 고덕그라시움(제1상가) 지층 비126호 (고덕동)5224나이스가이(고덕그라시움점)2023-12-26 11:16:54I2022-11-01 22:08:00.0일반이용업214299.644267450637.95476<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67732400003240000-203-2024-000012024-01-02<NA>1영업/정상1영업<NA><NA><NA><NA>02 486 353925.0134-880서울특별시 강동구 길동 396-10서울특별시 강동구 양재대로112길 51, 1층 (길동)5351공원이용원2024-01-02 09:42:33I2023-12-01 00:04:00.0일반이용업212540.848543448241.926035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67832400003240000-203-2024-000022024-01-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.8134-856서울특별시 강동구 암사동 487-30서울특별시 강동구 구천면로 325, 102호 (암사동)5259래피드바버샵2024-01-02 14:15:41I2023-12-01 00:04:00.0일반이용업211919.595276449597.102192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67932400003240000-203-2024-000032024-01-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.0134-809서울특별시 강동구 길동 125-5서울특별시 강동구 명일로 214, 103호 (길동)5345이대팔CUT2024-01-26 15:14:43I2023-11-30 22:08:00.0일반이용업212854.970824448396.80745<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>