Overview

Dataset statistics

Number of variables44
Number of observations134
Missing cells1340
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.5 KiB
Average record size in memory378.0 B

Variable types

Categorical20
Text5
DateTime4
Unsupported7
Numeric7
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18563/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (80.6%)Imbalance
본사종업원수 is highly imbalanced (80.6%)Imbalance
공장사무직종업원수 is highly imbalanced (80.6%)Imbalance
공장판매직종업원수 is highly imbalanced (80.6%)Imbalance
공장생산직종업원수 is highly imbalanced (80.6%)Imbalance
보증액 is highly imbalanced (80.6%)Imbalance
월세액 is highly imbalanced (80.6%)Imbalance
전통업소지정번호 is highly imbalanced (88.8%)Imbalance
인허가취소일자 has 134 (100.0%) missing valuesMissing
폐업일자 has 77 (57.5%) missing valuesMissing
휴업시작일자 has 134 (100.0%) missing valuesMissing
휴업종료일자 has 134 (100.0%) missing valuesMissing
재개업일자 has 134 (100.0%) missing valuesMissing
전화번호 has 55 (41.0%) missing valuesMissing
도로명주소 has 30 (22.4%) missing valuesMissing
도로명우편번호 has 33 (24.6%) missing valuesMissing
좌표정보(X) has 4 (3.0%) missing valuesMissing
좌표정보(Y) has 4 (3.0%) missing valuesMissing
남성종사자수 has 77 (57.5%) missing valuesMissing
여성종사자수 has 74 (55.2%) missing valuesMissing
건물소유구분명 has 134 (100.0%) missing valuesMissing
다중이용업소여부 has 24 (17.9%) missing valuesMissing
시설총규모 has 24 (17.9%) missing valuesMissing
전통업소주된음식 has 134 (100.0%) missing valuesMissing
홈페이지 has 134 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 35 (26.1%) zerosZeros
여성종사자수 has 33 (24.6%) zerosZeros

Reproduction

Analysis started2024-04-06 12:03:02.502780
Analysis finished2024-04-06 12:03:03.787301
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3110000
134 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 134
100.0%

Length

2024-04-06T21:03:03.978746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:04.205406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 134
100.0%

관리번호
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:03:04.593617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2948
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

Unique134 ?
Unique (%)100.0%

Sample

1st row3110000-102-1972-04273
2nd row3110000-102-1973-04267
3rd row3110000-102-1973-04268
4th row3110000-102-1973-04271
5th row3110000-102-1973-04275
ValueCountFrequency (%)
3110000-102-1972-04273 1
 
0.7%
3110000-102-2005-00001 1
 
0.7%
3110000-102-2011-00002 1
 
0.7%
3110000-102-2011-00001 1
 
0.7%
3110000-102-2010-00003 1
 
0.7%
3110000-102-2010-00002 1
 
0.7%
3110000-102-2010-00001 1
 
0.7%
3110000-102-2009-00001 1
 
0.7%
3110000-102-2008-00003 1
 
0.7%
3110000-102-2008-00002 1
 
0.7%
Other values (124) 124
92.5%
2024-04-06T21:03:05.380738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1183
40.1%
1 541
18.4%
- 402
 
13.6%
2 298
 
10.1%
3 180
 
6.1%
9 83
 
2.8%
8 68
 
2.3%
7 65
 
2.2%
4 62
 
2.1%
5 33
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2546
86.4%
Dash Punctuation 402
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1183
46.5%
1 541
21.2%
2 298
 
11.7%
3 180
 
7.1%
9 83
 
3.3%
8 68
 
2.7%
7 65
 
2.6%
4 62
 
2.4%
5 33
 
1.3%
6 33
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2948
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1183
40.1%
1 541
18.4%
- 402
 
13.6%
2 298
 
10.1%
3 180
 
6.1%
9 83
 
2.8%
8 68
 
2.3%
7 65
 
2.2%
4 62
 
2.1%
5 33
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1183
40.1%
1 541
18.4%
- 402
 
13.6%
2 298
 
10.1%
3 180
 
6.1%
9 83
 
2.8%
8 68
 
2.3%
7 65
 
2.2%
4 62
 
2.1%
5 33
 
1.1%

인허가일자
Date

Distinct121
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1972-03-03 00:00:00
Maximum2019-08-06 00:00:00
2024-04-06T21:03:05.677348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:05.987576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
77 
3
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 77
57.5%
3 57
42.5%

Length

2024-04-06T21:03:06.253697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:06.417762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77
57.5%
3 57
42.5%

영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
77 
폐업
57 

Length

Max length5
Median length5
Mean length3.7238806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 77
57.5%
폐업 57
42.5%

Length

2024-04-06T21:03:06.582455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:06.755781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 77
57.5%
폐업 57
42.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
77 
2
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 77
57.5%
2 57
42.5%

Length

2024-04-06T21:03:06.954719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:07.136282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77
57.5%
2 57
42.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업
77 
폐업
57 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 77
57.5%
폐업 57
42.5%

Length

2024-04-06T21:03:07.778666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:07.969815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 77
57.5%
폐업 57
42.5%

폐업일자
Date

MISSING 

Distinct53
Distinct (%)93.0%
Missing77
Missing (%)57.5%
Memory size1.2 KiB
Minimum1994-09-16 00:00:00
Maximum2023-05-17 00:00:00
2024-04-06T21:03:08.194523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:08.461462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct75
Distinct (%)94.9%
Missing55
Missing (%)41.0%
Memory size1.2 KiB
2024-04-06T21:03:08.869420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6582278
Min length2

Characters and Unicode

Total characters763
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

Unique73 ?
Unique (%)92.4%

Sample

1st row0203551515
2nd row0203575656
3rd row02 3821219
4th row02 3542081
5th row02
ValueCountFrequency (%)
02 67
45.6%
305 2
 
1.4%
3857072 2
 
1.4%
2322 1
 
0.7%
3545564 1
 
0.7%
3530644 1
 
0.7%
3765466 1
 
0.7%
3553352 1
 
0.7%
3082098 1
 
0.7%
3532578 1
 
0.7%
Other values (69) 69
46.9%
2024-04-06T21:03:09.438281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
18.3%
2 118
15.5%
3 111
14.5%
5 82
10.7%
74
9.7%
8 70
9.2%
7 45
 
5.9%
1 37
 
4.8%
4 37
 
4.8%
6 29
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 689
90.3%
Space Separator 74
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
20.3%
2 118
17.1%
3 111
16.1%
5 82
11.9%
8 70
10.2%
7 45
 
6.5%
1 37
 
5.4%
4 37
 
5.4%
6 29
 
4.2%
9 20
 
2.9%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 763
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
18.3%
2 118
15.5%
3 111
14.5%
5 82
10.7%
74
9.7%
8 70
9.2%
7 45
 
5.9%
1 37
 
4.8%
4 37
 
4.8%
6 29
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 763
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
18.3%
2 118
15.5%
3 111
14.5%
5 82
10.7%
74
9.7%
8 70
9.2%
7 45
 
5.9%
1 37
 
4.8%
4 37
 
4.8%
6 29
 
3.8%

소재지면적
Real number (ℝ)

Distinct125
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.16701
Minimum42.42
Maximum896.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:09.704756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.42
5-th percentile62.766
Q185.68
median98.055
Q3146.4
95-th percentile459.0495
Maximum896.24
Range853.82
Interquartile range (IQR)60.72

Descriptive statistics

Standard deviation149.22889
Coefficient of variation (CV)0.96796902
Kurtosis10.744199
Mean154.16701
Median Absolute Deviation (MAD)20.2
Skewness3.1324387
Sum20658.38
Variance22269.263
MonotonicityNot monotonic
2024-04-06T21:03:09.989872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.64 3
 
2.2%
85.68 2
 
1.5%
115.65 2
 
1.5%
136.22 2
 
1.5%
166.74 2
 
1.5%
144.36 2
 
1.5%
97.71 2
 
1.5%
82.8 2
 
1.5%
454.23 1
 
0.7%
114.17 1
 
0.7%
Other values (115) 115
85.8%
ValueCountFrequency (%)
42.42 1
0.7%
47.21 1
0.7%
47.59 1
0.7%
58.72 1
0.7%
61.59 1
0.7%
62.48 1
0.7%
62.74 1
0.7%
62.78 1
0.7%
62.94 1
0.7%
65.58 1
0.7%
ValueCountFrequency (%)
896.24 1
0.7%
854.06 1
0.7%
801.11 1
0.7%
702.3 1
0.7%
489.3 1
0.7%
472.78 1
0.7%
468.0 1
0.7%
454.23 1
0.7%
427.8 1
0.7%
427.6 1
0.7%

소재지우편번호
Categorical

Distinct25
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
122924
27 
122837
18 
122858
15 
122809
11 
122842
10 
Other values (20)
53 

Length

Max length7
Median length6
Mean length6.1268657
Min length6

Unique

Unique8 ?
Unique (%)6.0%

Sample

1st row122837
2nd row122858
3rd row122809
4th row122835
5th row122847

Common Values

ValueCountFrequency (%)
122924 27
20.1%
122837 18
13.4%
122858 15
11.2%
122809 11
8.2%
122842 10
 
7.5%
122808 10
 
7.5%
122959 5
 
3.7%
122-837 4
 
3.0%
122-858 4
 
3.0%
122906 4
 
3.0%
Other values (15) 26
19.4%

Length

2024-04-06T21:03:10.243574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
122924 27
20.1%
122837 18
13.4%
122858 15
11.2%
122809 11
8.2%
122842 10
 
7.5%
122808 10
 
7.5%
122959 5
 
3.7%
122-837 4
 
3.0%
122-858 4
 
3.0%
122906 4
 
3.0%
Other values (15) 26
19.4%

지번주소
Text

Distinct132
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:03:10.681385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length25.574627
Min length19

Characters and Unicode

Total characters3427
Distinct characters60
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

Unique130 ?
Unique (%)97.0%

Sample

1st row서울특별시 은평구 대조동 14-8번지
2nd row서울특별시 은평구 불광동 281-92번지 (지하1층)
3rd row서울특별시 은평구 갈현동 398-10번지 지층
4th row서울특별시 은평구 녹번동 183-0번지
5th row서울특별시 은평구 불광동 17-616번지 태성주택 3층동 B호
ValueCountFrequency (%)
서울특별시 134
21.0%
은평구 134
21.0%
응암동 39
 
6.1%
갈현동 34
 
5.3%
대조동 33
 
5.2%
지하1층 30
 
4.7%
불광동 24
 
3.8%
지층 16
 
2.5%
2층 9
 
1.4%
600-2번지 5
 
0.8%
Other values (136) 179
28.1%
2024-04-06T21:03:11.400868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
610
17.8%
1 192
 
5.6%
지 161
 
4.7%
동 137
 
4.0%
서 136
 
4.0%
- 135
 
3.9%
시 134
 
3.9%
평 134
 
3.9%
구 134
 
3.9%
울 134
 
3.9%
Other values (50) 1520
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1894
55.3%
Decimal Number 703
 
20.5%
Space Separator 610
 
17.8%
Dash Punctuation 135
 
3.9%
Close Punctuation 38
 
1.1%
Open Punctuation 38
 
1.1%
Other Punctuation 7
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 161
 
8.5%
동 137
 
7.2%
서 136
 
7.2%
시 134
 
7.1%
평 134
 
7.1%
구 134
 
7.1%
울 134
 
7.1%
은 134
 
7.1%
별 134
 
7.1%
특 134
 
7.1%
Other values (33) 522
27.6%
Decimal Number
ValueCountFrequency (%)
1 192
27.3%
2 80
11.4%
5 77
11.0%
9 76
 
10.8%
3 56
 
8.0%
0 52
 
7.4%
8 48
 
6.8%
6 44
 
6.3%
4 41
 
5.8%
7 37
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1894
55.3%
Common 1531
44.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 161
 
8.5%
동 137
 
7.2%
서 136
 
7.2%
시 134
 
7.1%
평 134
 
7.1%
구 134
 
7.1%
울 134
 
7.1%
은 134
 
7.1%
별 134
 
7.1%
특 134
 
7.1%
Other values (33) 522
27.6%
Common
ValueCountFrequency (%)
610
39.8%
1 192
 
12.5%
- 135
 
8.8%
2 80
 
5.2%
5 77
 
5.0%
9 76
 
5.0%
3 56
 
3.7%
0 52
 
3.4%
8 48
 
3.1%
6 44
 
2.9%
Other values (5) 161
 
10.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1894
55.3%
ASCII 1533
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
610
39.8%
1 192
 
12.5%
- 135
 
8.8%
2 80
 
5.2%
5 77
 
5.0%
9 76
 
5.0%
3 56
 
3.7%
0 52
 
3.4%
8 48
 
3.1%
6 44
 
2.9%
Other values (7) 163
 
10.6%
Hangul
ValueCountFrequency (%)
지 161
 
8.5%
동 137
 
7.2%
서 136
 
7.2%
시 134
 
7.1%
평 134
 
7.1%
구 134
 
7.1%
울 134
 
7.1%
은 134
 
7.1%
별 134
 
7.1%
특 134
 
7.1%
Other values (33) 522
27.6%

도로명주소
Text

MISSING 

Distinct103
Distinct (%)99.0%
Missing30
Missing (%)22.4%
Memory size1.2 KiB
2024-04-06T21:03:11.888666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length29.173077
Min length23

Characters and Unicode

Total characters3034
Distinct characters57
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

Unique102 ?
Unique (%)98.1%

Sample

1st row서울특별시 은평구 통일로 730 (불광동,(지하1층))
2nd row서울특별시 은평구 연서로 225 (갈현동,지층)
3rd row서울특별시 은평구 통일로 869 (갈현동, 지하1층)
4th row서울특별시 은평구 은평로 166 (응암동,(지층))
5th row서울특별시 은평구 은평로 233 (녹번동)
ValueCountFrequency (%)
서울특별시 104
17.7%
은평구 104
17.7%
통일로 37
 
6.3%
응암동 24
 
4.1%
갈현동 19
 
3.2%
대조동 19
 
3.2%
지하1층 17
 
2.9%
지층 14
 
2.4%
응암로13길 12
 
2.0%
응암로 11
 
1.9%
Other values (120) 225
38.4%
2024-04-06T21:03:12.765027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
482
 
15.9%
) 133
 
4.4%
( 133
 
4.4%
1 123
 
4.1%
서 118
 
3.9%
은 109
 
3.6%
평 109
 
3.6%
동 105
 
3.5%
시 104
 
3.4%
구 104
 
3.4%
Other values (47) 1514
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1719
56.7%
Space Separator 482
 
15.9%
Decimal Number 440
 
14.5%
Close Punctuation 133
 
4.4%
Open Punctuation 133
 
4.4%
Other Punctuation 92
 
3.0%
Dash Punctuation 34
 
1.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 118
 
6.9%
은 109
 
6.3%
평 109
 
6.3%
동 105
 
6.1%
시 104
 
6.1%
구 104
 
6.1%
별 104
 
6.1%
로 104
 
6.1%
울 104
 
6.1%
특 104
 
6.1%
Other values (31) 654
38.0%
Decimal Number
ValueCountFrequency (%)
1 123
28.0%
2 78
17.7%
3 48
 
10.9%
6 42
 
9.5%
8 32
 
7.3%
7 31
 
7.0%
9 26
 
5.9%
5 22
 
5.0%
0 19
 
4.3%
4 19
 
4.3%
Space Separator
ValueCountFrequency (%)
482
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1719
56.7%
Common 1314
43.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 118
 
6.9%
은 109
 
6.3%
평 109
 
6.3%
동 105
 
6.1%
시 104
 
6.1%
구 104
 
6.1%
별 104
 
6.1%
로 104
 
6.1%
울 104
 
6.1%
특 104
 
6.1%
Other values (31) 654
38.0%
Common
ValueCountFrequency (%)
482
36.7%
) 133
 
10.1%
( 133
 
10.1%
1 123
 
9.4%
, 92
 
7.0%
2 78
 
5.9%
3 48
 
3.7%
6 42
 
3.2%
- 34
 
2.6%
8 32
 
2.4%
Other values (5) 117
 
8.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1719
56.7%
ASCII 1315
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
482
36.7%
) 133
 
10.1%
( 133
 
10.1%
1 123
 
9.4%
, 92
 
7.0%
2 78
 
5.9%
3 48
 
3.7%
6 42
 
3.2%
- 34
 
2.6%
8 32
 
2.4%
Other values (6) 118
 
9.0%
Hangul
ValueCountFrequency (%)
서 118
 
6.9%
은 109
 
6.3%
평 109
 
6.3%
동 105
 
6.1%
시 104
 
6.1%
구 104
 
6.1%
별 104
 
6.1%
로 104
 
6.1%
울 104
 
6.1%
특 104
 
6.1%
Other values (31) 654
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)13.9%
Missing33
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean3401.9703
Minimum3330
Maximum3485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:12.975176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3330
5-th percentile3330
Q13368
median3396
Q33462
95-th percentile3485
Maximum3485
Range155
Interquartile range (IQR)94

Descriptive statistics

Standard deviation58.467676
Coefficient of variation (CV)0.017186416
Kurtosis-1.3561383
Mean3401.9703
Median Absolute Deviation (MAD)65
Skewness0.30756364
Sum343599
Variance3418.4691
MonotonicityNot monotonic
2024-04-06T21:03:13.182667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3330 19
14.2%
3485 17
12.7%
3368 16
11.9%
3397 15
11.2%
3484 8
 
6.0%
3385 6
 
4.5%
3396 5
 
3.7%
3331 5
 
3.7%
3457 4
 
3.0%
3461 2
 
1.5%
Other values (4) 4
 
3.0%
(Missing) 33
24.6%
ValueCountFrequency (%)
3330 19
14.2%
3331 5
 
3.7%
3368 16
11.9%
3375 1
 
0.7%
3383 1
 
0.7%
3385 6
 
4.5%
3396 5
 
3.7%
3397 15
11.2%
3454 1
 
0.7%
3457 4
 
3.0%
ValueCountFrequency (%)
3485 17
12.7%
3484 8
6.0%
3462 1
 
0.7%
3461 2
 
1.5%
3457 4
 
3.0%
3454 1
 
0.7%
3397 15
11.2%
3396 5
 
3.7%
3385 6
 
4.5%
3383 1
 
0.7%

사업장명
Text

Distinct124
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:03:13.675076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.6865672
Min length1

Characters and Unicode

Total characters628
Distinct characters200
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)85.8%

Sample

1st row뉴킹모나코
2nd row호박성인나이트
3rd row럭셔리 노래밤
4th row관광열차
5th row물레방아
ValueCountFrequency (%)
노래바 7
 
4.4%
다원 3
 
1.9%
럭셔리 2
 
1.2%
노래타운 2
 
1.2%
왕의여자 2
 
1.2%
노래팡 2
 
1.2%
술마시는 2
 
1.2%
토마토 2
 
1.2%
노래밤 2
 
1.2%
폭스노래바 2
 
1.2%
Other values (127) 134
83.8%
2024-04-06T21:03:14.443909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 53
 
8.4%
노 51
 
8.1%
26
 
4.1%
바 24
 
3.8%
밤 20
 
3.2%
리 12
 
1.9%
이 12
 
1.9%
스 12
 
1.9%
마 10
 
1.6%
나 9
 
1.4%
Other values (190) 399
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 570
90.8%
Space Separator 26
 
4.1%
Decimal Number 12
 
1.9%
Uppercase Letter 10
 
1.6%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 53
 
9.3%
노 51
 
8.9%
바 24
 
4.2%
밤 20
 
3.5%
리 12
 
2.1%
이 12
 
2.1%
스 12
 
2.1%
마 10
 
1.8%
나 9
 
1.6%
시 8
 
1.4%
Other values (172) 359
63.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
20.0%
S 2
20.0%
P 1
10.0%
I 1
10.0%
V 1
10.0%
B 1
10.0%
X 1
10.0%
Q 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
0 4
33.3%
1 2
16.7%
7 1
 
8.3%
8 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
＆ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 570
90.8%
Common 48
 
7.6%
Latin 10
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 53
 
9.3%
노 51
 
8.9%
바 24
 
4.2%
밤 20
 
3.5%
리 12
 
2.1%
이 12
 
2.1%
스 12
 
2.1%
마 10
 
1.8%
나 9
 
1.6%
시 8
 
1.4%
Other values (172) 359
63.0%
Common
ValueCountFrequency (%)
26
54.2%
( 4
 
8.3%
) 4
 
8.3%
2 4
 
8.3%
0 4
 
8.3%
1 2
 
4.2%
7 1
 
2.1%
8 1
 
2.1%
＆ 1
 
2.1%
, 1
 
2.1%
Latin
ValueCountFrequency (%)
O 2
20.0%
S 2
20.0%
P 1
10.0%
I 1
10.0%
V 1
10.0%
B 1
10.0%
X 1
10.0%
Q 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 570
90.8%
ASCII 57
 
9.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 53
 
9.3%
노 51
 
8.9%
바 24
 
4.2%
밤 20
 
3.5%
리 12
 
2.1%
이 12
 
2.1%
스 12
 
2.1%
마 10
 
1.8%
나 9
 
1.6%
시 8
 
1.4%
Other values (172) 359
63.0%
ASCII
ValueCountFrequency (%)
26
45.6%
( 4
 
7.0%
) 4
 
7.0%
2 4
 
7.0%
0 4
 
7.0%
1 2
 
3.5%
O 2
 
3.5%
S 2
 
3.5%
7 1
 
1.8%
8 1
 
1.8%
Other values (7) 7
 
12.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct126
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1999-08-06 00:00:00
Maximum2024-03-26 13:53:47
2024-04-06T21:03:14.705961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:14.993025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
78 
U
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 78
58.2%
U 56
41.8%

Length

2024-04-06T21:03:15.256546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:15.608066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
58.2%
u 56
41.8%

데이터갱신일자
Date

Distinct55
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:04:00
2024-04-06T21:03:15.781407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:16.015092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
룸살롱
80 
스텐드바
18 
기타
13 
카바레
12 
비어(바)살롱
 
6
Other values (3)
 
5

Length

Max length12
Median length3
Mean length3.4253731
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row스텐드바
2nd row카바레
3rd row스텐드바
4th row스텐드바
5th row스텐드바

Common Values

ValueCountFrequency (%)
룸살롱 80
59.7%
스텐드바 18
 
13.4%
기타 13
 
9.7%
카바레 12
 
9.0%
비어(바)살롱 6
 
4.5%
고고(디스코)클럽 3
 
2.2%
관광호텔나이트(디스코) 1
 
0.7%
간이주점 1
 
0.7%

Length

2024-04-06T21:03:16.261800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:16.568404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 80
59.7%
스텐드바 18
 
13.4%
기타 13
 
9.7%
카바레 12
 
9.0%
비어(바)살롱 6
 
4.5%
고고(디스코)클럽 3
 
2.2%
관광호텔나이트(디스코 1
 
0.7%
간이주점 1
 
0.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)70.0%
Missing4
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean193106.57
Minimum192475.59
Maximum194056.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:17.000237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192475.59
5-th percentile192533.55
Q1192733.82
median192896.6
Q3193657.47
95-th percentile193827.72
Maximum194056.66
Range1581.0703
Interquartile range (IQR)923.65246

Descriptive statistics

Standard deviation491.00329
Coefficient of variation (CV)0.0025426545
Kurtosis-1.4464368
Mean193106.57
Median Absolute Deviation (MAD)320.00174
Skewness0.42647042
Sum25103854
Variance241084.23
MonotonicityNot monotonic
2024-04-06T21:03:17.295838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192900.782483613 6
 
4.5%
192576.600496455 6
 
4.5%
192551.752382961 3
 
2.2%
193802.267465881 3
 
2.2%
192852.904016036 3
 
2.2%
192963.278707466 3
 
2.2%
192888.942502003 3
 
2.2%
192775.441248036 3
 
2.2%
192892.044624782 3
 
2.2%
192851.898756942 2
 
1.5%
Other values (81) 95
70.9%
(Missing) 4
 
3.0%
ValueCountFrequency (%)
192475.587282827 1
0.7%
192516.15145259 1
0.7%
192518.665395477 1
0.7%
192527.138055477 1
0.7%
192527.813740215 1
0.7%
192533.270518913 2
1.5%
192533.901889235 1
0.7%
192534.570562175 1
0.7%
192542.162132449 1
0.7%
192549.616826643 1
0.7%
ValueCountFrequency (%)
194056.657619738 1
0.7%
193903.333435372 2
1.5%
193863.639047178 1
0.7%
193846.493626916 1
0.7%
193834.015511025 1
0.7%
193827.717096922 2
1.5%
193815.003892284 2
1.5%
193814.474068198 1
0.7%
193808.696174757 1
0.7%
193808.036987489 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)70.0%
Missing4
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean456159.19
Minimum453960.35
Maximum457573.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:17.665132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453960.35
5-th percentile454079.03
Q1455281.77
median456428.09
Q3457361.25
95-th percentile457545.75
Maximum457573.82
Range3613.4702
Interquartile range (IQR)2079.4742

Descriptive statistics

Standard deviation1287.302
Coefficient of variation (CV)0.0028220455
Kurtosis-1.1037297
Mean456159.19
Median Absolute Deviation (MAD)965.23087
Skewness-0.63801875
Sum59300694
Variance1657146.5
MonotonicityNot monotonic
2024-04-06T21:03:17.947176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457444.185417139 6
 
4.5%
454123.137809564 6
 
4.5%
454079.025280103 3
 
2.2%
456419.663955141 3
 
2.2%
457562.887057163 3
 
2.2%
457362.284809028 3
 
2.2%
457417.384961226 3
 
2.2%
457293.41165271 3
 
2.2%
457465.324998169 3
 
2.2%
457514.336391383 2
 
1.5%
Other values (81) 95
70.9%
(Missing) 4
 
3.0%
ValueCountFrequency (%)
453960.351227657 1
 
0.7%
454024.474104038 1
 
0.7%
454025.223407109 1
 
0.7%
454044.581279963 1
 
0.7%
454075.055042729 1
 
0.7%
454079.025280103 3
2.2%
454091.38165504 1
 
0.7%
454107.506056695 1
 
0.7%
454107.775419366 1
 
0.7%
454123.137809564 6
4.5%
ValueCountFrequency (%)
457573.821408994 2
 
1.5%
457562.887057163 3
2.2%
457558.008035866 2
 
1.5%
457530.757592514 2
 
1.5%
457522.57527646 1
 
0.7%
457514.336391383 2
 
1.5%
457500.729994254 1
 
0.7%
457489.938700907 1
 
0.7%
457465.324998169 3
2.2%
457444.185417139 6
4.5%

위생업태명
Categorical

Distinct9
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
룸살롱
64 
<NA>
24 
스텐드바
16 
카바레
12 
기타
9 
Other values (4)
9 

Length

Max length12
Median length3
Mean length3.5597015
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row스텐드바
2nd row카바레
3rd row스텐드바
4th row스텐드바
5th row스텐드바

Common Values

ValueCountFrequency (%)
룸살롱 64
47.8%
<NA> 24
 
17.9%
스텐드바 16
 
11.9%
카바레 12
 
9.0%
기타 9
 
6.7%
비어(바)살롱 4
 
3.0%
고고(디스코)클럽 3
 
2.2%
관광호텔나이트(디스코) 1
 
0.7%
간이주점 1
 
0.7%

Length

2024-04-06T21:03:18.213795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:18.453200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 64
47.8%
na 24
 
17.9%
스텐드바 16
 
11.9%
카바레 12
 
9.0%
기타 9
 
6.7%
비어(바)살롱 4
 
3.0%
고고(디스코)클럽 3
 
2.2%
관광호텔나이트(디스코 1
 
0.7%
간이주점 1
 
0.7%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)12.3%
Missing77
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean1.0701754
Minimum0
Maximum6
Zeros35
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:18.799751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.613112
Coefficient of variation (CV)1.5073342
Kurtosis0.59649538
Mean1.0701754
Median Absolute Deviation (MAD)0
Skewness1.3107782
Sum61
Variance2.6021303
MonotonicityNot monotonic
2024-04-06T21:03:19.057704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 35
26.1%
3 8
 
6.0%
1 6
 
4.5%
4 4
 
3.0%
2 2
 
1.5%
5 1
 
0.7%
6 1
 
0.7%
(Missing) 77
57.5%
ValueCountFrequency (%)
0 35
26.1%
1 6
 
4.5%
2 2
 
1.5%
3 8
 
6.0%
4 4
 
3.0%
5 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
6 1
 
0.7%
5 1
 
0.7%
4 4
 
3.0%
3 8
 
6.0%
2 2
 
1.5%
1 6
 
4.5%
0 35
26.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)21.7%
Missing74
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean2.4166667
Minimum0
Maximum17
Zeros33
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:19.299104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.8895412
Coefficient of variation (CV)1.6094653
Kurtosis3.1629162
Mean2.4166667
Median Absolute Deviation (MAD)0
Skewness1.8405551
Sum145
Variance15.128531
MonotonicityNot monotonic
2024-04-06T21:03:19.594459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 33
24.6%
1 7
 
5.2%
8 3
 
2.2%
10 2
 
1.5%
5 2
 
1.5%
4 2
 
1.5%
6 2
 
1.5%
3 2
 
1.5%
7 2
 
1.5%
2 2
 
1.5%
Other values (3) 3
 
2.2%
(Missing) 74
55.2%
ValueCountFrequency (%)
0 33
24.6%
1 7
 
5.2%
2 2
 
1.5%
3 2
 
1.5%
4 2
 
1.5%
5 2
 
1.5%
6 2
 
1.5%
7 2
 
1.5%
8 3
 
2.2%
9 1
 
0.7%
ValueCountFrequency (%)
17 1
 
0.7%
14 1
 
0.7%
10 2
1.5%
9 1
 
0.7%
8 3
2.2%
7 2
1.5%
6 2
1.5%
5 2
1.5%
4 2
1.5%
3 2
1.5%

영업장주변구분명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
61 
유흥업소밀집지역
50 
학교정화(상대)
10 
기타
8 
주택가주변
 
5

Length

Max length8
Median length5
Mean length5.7089552
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
45.5%
유흥업소밀집지역 50
37.3%
학교정화(상대) 10
 
7.5%
기타 8
 
6.0%
주택가주변 5
 
3.7%

Length

2024-04-06T21:03:19.915372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:20.201242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
45.5%
유흥업소밀집지역 50
37.3%
학교정화(상대 10
 
7.5%
기타 8
 
6.0%
주택가주변 5
 
3.7%

등급구분명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
70 
자율
36 
갑
14 
기타
10 
지도
 
4

Length

Max length4
Median length4
Mean length2.9402985
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
52.2%
자율 36
26.9%
갑 14
 
10.4%
기타 10
 
7.5%
지도 4
 
3.0%

Length

2024-04-06T21:03:20.431200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:20.630448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
52.2%
자율 36
26.9%
갑 14
 
10.4%
기타 10
 
7.5%
지도 4
 
3.0%

급수시설구분명
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
상수도전용
66 
<NA>
66 
상수도(음용)지하수(주방용)겸용
 
1
간이상수도
 
1

Length

Max length17
Median length11
Mean length4.5970149
Min length4

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 66
49.3%
<NA> 66
49.3%
상수도(음용)지하수(주방용)겸용 1
 
0.7%
간이상수도 1
 
0.7%

Length

2024-04-06T21:03:20.834086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:21.033862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 66
49.3%
na 66
49.3%
상수도(음용)지하수(주방용)겸용 1
 
0.7%
간이상수도 1
 
0.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:21.238723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:21.425136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:21.696372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:22.406786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:22.700930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:22.908147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:23.135557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:23.312129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:23.484646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:23.664268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:23.852660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:24.040416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
0
 
4

Length

Max length4
Median length4
Mean length3.9104478
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> 130
97.0%
0 4
 
3.0%

Length

2024-04-06T21:03:24.265234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:24.464920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
97.0%
0 4
 
3.0%

다중이용업소여부
Boolean

MISSING 

Distinct2
Distinct (%)1.8%
Missing24
Missing (%)17.9%
Memory size400.0 B
False
96 
True
14 
(Missing)
24 
ValueCountFrequency (%)
False 96
71.6%
True 14
 
10.4%
(Missing) 24
 
17.9%
2024-04-06T21:03:24.624189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)96.4%
Missing24
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean167.05745
Minimum42.42
Maximum896.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:03:24.830365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.42
5-th percentile62.852
Q188.22
median98.635
Q3166.74
95-th percentile470.629
Maximum896.24
Range853.82
Interquartile range (IQR)78.52

Descriptive statistics

Standard deviation161.50872
Coefficient of variation (CV)0.96678545
Kurtosis8.3474586
Mean167.05745
Median Absolute Deviation (MAD)20.71
Skewness2.7970467
Sum18376.32
Variance26085.066
MonotonicityNot monotonic
2024-04-06T21:03:25.118721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.64 3
 
2.2%
166.74 2
 
1.5%
97.71 2
 
1.5%
98.6 1
 
0.7%
258.41 1
 
0.7%
454.23 1
 
0.7%
92.83 1
 
0.7%
88.16 1
 
0.7%
94.62 1
 
0.7%
75.06 1
 
0.7%
Other values (96) 96
71.6%
(Missing) 24
 
17.9%
ValueCountFrequency (%)
42.42 1
0.7%
47.21 1
0.7%
47.59 1
0.7%
58.72 1
0.7%
62.48 1
0.7%
62.78 1
0.7%
62.94 1
0.7%
65.58 1
0.7%
67.75 1
0.7%
69.81 1
0.7%
ValueCountFrequency (%)
896.24 1
0.7%
854.06 1
0.7%
801.11 1
0.7%
702.3 1
0.7%
489.3 1
0.7%
472.78 1
0.7%
468.0 1
0.7%
454.23 1
0.7%
427.8 1
0.7%
427.6 1
0.7%

전통업소지정번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
2

Length

Max length4
Median length4
Mean length3.9552239
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> 132
98.5%
0 2
 
1.5%

Length

2024-04-06T21:03:25.379838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:25.550409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
98.5%
0 2
 
1.5%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-102-1972-0427319720303<NA>3폐업2폐업19940916<NA><NA><NA>0203551515204.21122837서울특별시 은평구 대조동 14-8번지<NA><NA>뉴킹모나코2001-09-28 00:00:00I2018-08-31 23:59:59.0스텐드바193718.402907456428.065158스텐드바310유흥업소밀집지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N204.210<NA><NA>
131100003110000-102-1973-0426719730507<NA>1영업/정상1영업<NA><NA><NA><NA>0203575656468.0122858서울특별시 은평구 불광동 281-92번지 (지하1층)서울특별시 은평구 통일로 730 (불광동,(지하1층))3368호박성인나이트2017-02-09 17:25:51I2018-08-31 23:59:59.0카바레193757.383293456499.068228카바레58유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N468.0<NA><NA><NA>
231100003110000-102-1973-0426819730407<NA>1영업/정상1영업<NA><NA><NA><NA>02 3821219106.7122809서울특별시 은평구 갈현동 398-10번지 지층서울특별시 은평구 연서로 225 (갈현동,지층)3330럭셔리 노래밤2018-01-03 15:35:03I2018-08-31 23:59:59.0스텐드바192866.582389457369.941333스텐드바<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N106.7<NA><NA><NA>
331100003110000-102-1973-0427119730718<NA>3폐업2폐업20120223<NA><NA><NA>02 354208198.2122835서울특별시 은평구 녹번동 183-0번지<NA><NA>관광열차2012-02-23 15:26:29I2018-08-31 23:59:59.0스텐드바193537.770696455546.789946스텐드바35유흥업소밀집지역갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N98.2<NA><NA><NA>
431100003110000-102-1973-0427519730403<NA>3폐업2폐업20010212<NA><NA><NA>0281.8122847서울특별시 은평구 불광동 17-616번지 태성주택 3층동 B호<NA><NA>물레방아2001-02-12 00:00:00I2018-08-31 23:59:59.0스텐드바<NA><NA>스텐드바14주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N81.8<NA><NA><NA>
531100003110000-102-1973-0428519730716<NA>3폐업2폐업20160113<NA><NA><NA>02 3842885472.78122808서울특별시 은평구 갈현동 395-5번지 지하1층서울특별시 은평구 통일로 869 (갈현동, 지하1층)3330술마시는 폭스노래바2015-12-15 13:46:24I2018-08-31 23:59:59.0룸살롱192852.904016457562.887057룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N472.78<NA><NA><NA>
631100003110000-102-1973-051181973-12-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 387051497.33122-906서울특별시 은평구 응암동 96-14 (지층)서울특별시 은평구 은평로 166 (응암동,(지층))3462금수저 노래팡2023-04-13 10:27:44U2022-12-03 23:05:00.0비어(바)살롱193408.878643455423.633776<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731100003110000-102-1974-0425019741030<NA>3폐업2폐업20000105<NA><NA><NA>02289.0122859서울특별시 은평구 불광동 304-2번지<NA><NA>김삿갓2000-01-05 00:00:00I2018-08-31 23:59:59.0스텐드바193109.419843457278.802885스텐드바48유흥업소밀집지역갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N289.0<NA><NA><NA>
831100003110000-102-1974-0425419740301<NA>3폐업2폐업20130123<NA><NA><NA>02 386173599.8122924서울특별시 은평구 응암동 598-4번지 (지하1층)<NA><NA>베르사체2005-05-02 00:00:00I2018-08-31 23:59:59.0비어(바)살롱192542.162132453960.351228비어(바)살롱36주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N99.8<NA><NA><NA>
931100003110000-102-1974-0426919740214<NA>1영업/정상1영업<NA><NA><NA><NA>02 385717193.5122836서울특별시 은평구 녹번동 258-0번지서울특별시 은평구 은평로 233 (녹번동)3383비트2015-10-19 16:16:40I2018-08-31 23:59:59.0스텐드바194056.65762455439.479589스텐드바410주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N93.5<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
12431100003110000-102-2018-0000220180201<NA>1영업/정상1영업<NA><NA><NA><NA><NA>70.78122808서울특별시 은평구 갈현동 395-15번지 지하1층서울특별시 은평구 통일로 863-20, 지하1층 (갈현동)3330썸노래밤2018-03-13 16:08:58I2018-08-31 23:59:59.0룸살롱192821.21344457558.008036룸살롱<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y70.78<NA><NA><NA>
12531100003110000-102-2018-000032018-02-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>115.65122-858서울특별시 은평구 불광동 281-172서울특별시 은평구 통일로 720, 2층 (불광동)3368행복노래밤2023-03-31 12:14:01U2022-12-04 00:02:00.0룸살롱193802.267466456419.663955<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12631100003110000-102-2018-0000420180213<NA>1영업/정상1영업<NA><NA><NA><NA><NA>94.09122837서울특별시 은평구 대조동 14-25번지서울특별시 은평구 불광로 16-3, 2층 (대조동)3397파티노래바2018-02-13 10:48:18I2018-08-31 23:59:59.0룸살롱193616.713952456366.273588룸살롱<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y94.09<NA><NA><NA>
12731100003110000-102-2018-000052018-03-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>144.36122-808서울특별시 은평구 갈현동 395-25서울특별시 은평구 통일로 863-4 (갈현동)3330보물섬2023-06-12 17:54:52U2022-12-05 23:04:00.0룸살롱192851.898757457514.336391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12831100003110000-102-2018-000062018-03-13<NA>3폐업2폐업2023-05-17<NA><NA><NA><NA>163.3122-808서울특별시 은평구 갈현동 395-5 서연빌딩서울특별시 은평구 통일로 869, 서연빌딩 (갈현동)3330나고야 회 노래타운2023-05-17 10:58:07U2022-12-04 23:09:00.0기타192852.904016457562.887057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12931100003110000-102-2018-000072018-04-26<NA>3폐업2폐업2023-04-24<NA><NA><NA><NA>136.22122-837서울특별시 은평구 대조동 12-28 지층서울특별시 은평구 불광로 29, 지층 (대조동)<NA>술마시는조은노래밤2023-04-24 10:42:11U2022-12-03 22:06:00.0룸살롱193661.5569456515.32651<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13031100003110000-102-2018-0000820180828<NA>1영업/정상1영업<NA><NA><NA><NA><NA>98.26122808서울특별시 은평구 갈현동 395-5 서연빌딩 지하 1층동서울특별시 은평구 통일로 869, 서연빌딩 지하1층 (갈현동)3330폭스노래바2021-05-24 16:02:22U2021-05-26 02:40:00.0룸살롱192852.904016457562.887057룸살롱<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>Y98.26<NA><NA><NA>
13131100003110000-102-2018-000092018-11-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>82.8122-959서울특별시 은평구 갈현동 456-32 2층서울특별시 은평구 연서로29길 5, 2층 (갈현동)333121세기2023-04-25 13:50:28U2022-12-03 22:07:00.0룸살롱192824.491212457366.707837<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13231100003110000-102-2019-0000120190806<NA>1영업/정상1영업<NA><NA><NA><NA><NA>86.86122924서울특별시 은평구 응암동 600-2번지 지하 좌측호서울특별시 은평구 응암로 193, 지하층 좌측호 (응암동)3485귀빈노래바2019-08-06 09:38:03I2019-08-08 02:21:56.0룸살롱192576.600496454123.13781룸살롱<NA><NA>주택가주변<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y86.86<NA><NA><NA>
13331100003110000-102-2019-0000220190806<NA>1영업/정상1영업<NA><NA><NA><NA><NA>97.28122924서울특별시 은평구 응암동 600-2번지 지하 우측호서울특별시 은평구 응암로 193, 지하층 우측호 (응암동)3485왕과비2019-10-31 14:09:30U2019-11-02 02:40:00.0룸살롱192576.600496454123.13781룸살롱<NA><NA>학교정화(상대)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y97.28<NA><NA><NA>