Overview

Dataset statistics

Number of variables56
Number of observations33
Missing cells846
Missing cells (%)45.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory494.0 B

Variable types

Categorical19
Text6
DateTime3
Unsupported24
Numeric4

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),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17198/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (62.7%)Imbalance
휴업시작일자 is highly imbalanced (80.4%)Imbalance
휴업종료일자 is highly imbalanced (80.4%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 26 (78.8%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
주변환경명 has 33 (100.0%) missing valuesMissing
제작취급품목내용 has 5 (15.2%) missing valuesMissing
시설면적 has 23 (69.7%) missing valuesMissing
건물용도명 has 33 (100.0%) missing valuesMissing
비상계단여부 has 33 (100.0%) missing valuesMissing
비상구여부 has 33 (100.0%) missing valuesMissing
자동환기여부 has 33 (100.0%) missing valuesMissing
청소년실여부 has 33 (100.0%) missing valuesMissing
특수조명여부 has 33 (100.0%) missing valuesMissing
방음시설여부 has 33 (100.0%) missing valuesMissing
비디오재생기명 has 33 (100.0%) missing valuesMissing
조명시설유무 has 33 (100.0%) missing valuesMissing
음향시설여부 has 33 (100.0%) missing valuesMissing
편의시설여부 has 33 (100.0%) missing valuesMissing
소방시설여부 has 33 (100.0%) missing valuesMissing
기존게임업외업종명 has 33 (100.0%) missing valuesMissing
제공게임물명 has 33 (100.0%) missing valuesMissing
공연장형태구분명 has 33 (100.0%) missing valuesMissing
품목명 has 33 (100.0%) missing valuesMissing
최초등록시점 has 33 (100.0%) missing valuesMissing
지역구분명 has 33 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 3 (9.1%) zerosZeros

Reproduction

Analysis started2024-05-18 00:49:54.664267
Analysis finished2024-05-18 00:49:55.812152
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3060000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 33
100.0%

Length

2024-05-18T09:49:56.046304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:49:56.379560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 33
100.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-18T09:49:57.062949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters660
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000005
ValueCountFrequency (%)
cdff3241092015000001 1
 
3.0%
cdff3241092019000006 1
 
3.0%
cdff3241092023000002 1
 
3.0%
cdff3241092022000002 1
 
3.0%
cdff3241092022000001 1
 
3.0%
cdff3241092021000008 1
 
3.0%
cdff3241092021000007 1
 
3.0%
cdff3241092021000006 1
 
3.0%
cdff3241092021000005 1
 
3.0%
cdff3241092021000004 1
 
3.0%
Other values (23) 23
69.7%
2024-05-18T09:49:58.276630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 234
35.5%
2 91
 
13.8%
1 67
 
10.2%
F 66
 
10.0%
3 40
 
6.1%
9 38
 
5.8%
4 36
 
5.5%
C 33
 
5.0%
D 33
 
5.0%
5 10
 
1.5%
Other values (3) 12
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 528
80.0%
Uppercase Letter 132
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 234
44.3%
2 91
 
17.2%
1 67
 
12.7%
3 40
 
7.6%
9 38
 
7.2%
4 36
 
6.8%
5 10
 
1.9%
6 6
 
1.1%
7 3
 
0.6%
8 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 66
50.0%
C 33
25.0%
D 33
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
80.0%
Latin 132
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 234
44.3%
2 91
 
17.2%
1 67
 
12.7%
3 40
 
7.6%
9 38
 
7.2%
4 36
 
6.8%
5 10
 
1.9%
6 6
 
1.1%
7 3
 
0.6%
8 3
 
0.6%
Latin
ValueCountFrequency (%)
F 66
50.0%
C 33
25.0%
D 33
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 234
35.5%
2 91
 
13.8%
1 67
 
10.2%
F 66
 
10.0%
3 40
 
6.1%
9 38
 
5.8%
4 36
 
5.5%
C 33
 
5.0%
D 33
 
5.0%
5 10
 
1.5%
Other values (3) 12
 
1.8%

인허가일자
Date

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2015-02-03 00:00:00
Maximum2024-01-03 00:00:00
2024-05-18T09:49:58.917016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:49:59.309291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
25 
3
7 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row1
2nd row2
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 25
75.8%
3 7
 
21.2%
2 1
 
3.0%

Length

2024-05-18T09:49:59.687591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:00.061085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
75.8%
3 7
 
21.2%
2 1
 
3.0%

영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
25 
폐업
7 
휴업
 
1

Length

Max length5
Median length5
Mean length4.2727273
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
75.8%
폐업 7
 
21.2%
휴업 1
 
3.0%

Length

2024-05-18T09:50:00.598953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:00.938913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
75.8%
폐업 7
 
21.2%
휴업 1
 
3.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
13
25 
3
7 
2
 
1

Length

Max length2
Median length2
Mean length1.7575758
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row13
2nd row2
3rd row13
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 25
75.8%
3 7
 
21.2%
2 1
 
3.0%

Length

2024-05-18T09:50:01.380100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:01.667885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 25
75.8%
3 7
 
21.2%
2 1
 
3.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업중
25 
폐업
7 
휴업
 
1

Length

Max length3
Median length3
Mean length2.7575758
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 25
75.8%
폐업 7
 
21.2%
휴업 1
 
3.0%

Length

2024-05-18T09:50:01.975196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:02.306321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 25
75.8%
폐업 7
 
21.2%
휴업 1
 
3.0%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
20200605
 
1
20200326
 
1
20180920
 
1
20161230
 
1

Length

Max length8
Median length4
Mean length4.6060606
Min length4

Unique

Unique5 ?
Unique (%)15.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20200605
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
84.8%
20200605 1
 
3.0%
20200326 1
 
3.0%
20180920 1
 
3.0%
20161230 1
 
3.0%
20211202 1
 
3.0%

Length

2024-05-18T09:50:02.691825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:03.022123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
20200605 1
 
3.0%
20200326 1
 
3.0%
20180920 1
 
3.0%
20161230 1
 
3.0%
20211202 1
 
3.0%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
20170724
 
1

Length

Max length8
Median length4
Mean length4.1212121
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row<NA>
2nd row20170724
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
20170724 1
 
3.0%

Length

2024-05-18T09:50:03.530570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:03.944551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
20170724 1
 
3.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
20180723
 
1

Length

Max length8
Median length4
Mean length4.1212121
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row<NA>
2nd row20180723
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
20180723 1
 
3.0%

Length

2024-05-18T09:50:04.523132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:04.961607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
20180723 1
 
3.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing26
Missing (%)78.8%
Memory size396.0 B
2024-05-18T09:50:05.347683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.714286
Min length11

Characters and Unicode

Total characters82
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

Unique7 ?
Unique (%)100.0%

Sample

1st row02-508-7493
2nd row070-4038-7139
3rd row070-4028-0937
4th row02-492-3453
5th row02-977-9700
ValueCountFrequency (%)
02-508-7493 1
14.3%
070-4038-7139 1
14.3%
070-4028-0937 1
14.3%
02-492-3453 1
14.3%
02-977-9700 1
14.3%
02-432-8384 1
14.3%
02-6959-8648 1
14.3%
2024-05-18T09:50:06.346047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15
18.3%
- 14
17.1%
2 8
9.8%
7 8
9.8%
4 8
9.8%
9 8
9.8%
3 8
9.8%
8 7
8.5%
5 3
 
3.7%
6 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68
82.9%
Dash Punctuation 14
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
22.1%
2 8
11.8%
7 8
11.8%
4 8
11.8%
9 8
11.8%
3 8
11.8%
8 7
10.3%
5 3
 
4.4%
6 2
 
2.9%
1 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15
18.3%
- 14
17.1%
2 8
9.8%
7 8
9.8%
4 8
9.8%
9 8
9.8%
3 8
9.8%
8 7
8.5%
5 3
 
3.7%
6 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15
18.3%
- 14
17.1%
2 8
9.8%
7 8
9.8%
4 8
9.8%
9 8
9.8%
3 8
9.8%
8 7
8.5%
5 3
 
3.7%
6 2
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지번주소
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-18T09:50:06.833909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length24.909091
Min length19

Characters and Unicode

Total characters822
Distinct characters66
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)87.9%

Sample

1st row서울특별시 중랑구 상봉동 ***번지 상봉프레미어스엠코 A동 ****호
2nd row서울특별시 중랑구 신내동 ***번지 신내아파트 ***동 ***호
3rd row서울특별시 중랑구 면목동 ***-**번지 ***호
4th row서울특별시 중랑구 중화동 ***-*
5th row서울특별시 중랑구 면목동 ***-**번지
ValueCountFrequency (%)
서울특별시 32
20.3%
중랑구 32
20.3%
20
12.7%
면목동 16
10.1%
번지 13
8.2%
호 9
 
5.7%
중화동 5
 
3.2%
묵동 5
 
3.2%
상봉동 3
 
1.9%
c-**호 2
 
1.3%
Other values (18) 21
13.3%
2024-05-18T09:50:07.821538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 189
23.0%
143
17.4%
중 37
 
4.5%
동 37
 
4.5%
시 33
 
4.0%
구 33
 
4.0%
서 32
 
3.9%
특 32
 
3.9%
별 32
 
3.9%
랑 32
 
3.9%
Other values (56) 222
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
55.2%
Other Punctuation 189
23.0%
Space Separator 143
 
17.4%
Dash Punctuation 31
 
3.8%
Uppercase Letter 3
 
0.4%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 37
 
8.1%
동 37
 
8.1%
시 33
 
7.3%
구 33
 
7.3%
서 32
 
7.0%
특 32
 
7.0%
별 32
 
7.0%
랑 32
 
7.0%
울 32
 
7.0%
목 16
 
3.5%
Other values (49) 138
30.4%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
W 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 189
100.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
55.2%
Common 363
44.2%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 37
 
8.1%
동 37
 
8.1%
시 33
 
7.3%
구 33
 
7.3%
서 32
 
7.0%
특 32
 
7.0%
별 32
 
7.0%
랑 32
 
7.0%
울 32
 
7.0%
목 16
 
3.5%
Other values (49) 138
30.4%
Latin
ValueCountFrequency (%)
c 2
40.0%
H 1
20.0%
W 1
20.0%
A 1
20.0%
Common
ValueCountFrequency (%)
* 189
52.1%
143
39.4%
- 31
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
55.2%
ASCII 368
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 189
51.4%
143
38.9%
- 31
 
8.4%
c 2
 
0.5%
H 1
 
0.3%
W 1
 
0.3%
A 1
 
0.3%
Hangul
ValueCountFrequency (%)
중 37
 
8.1%
동 37
 
8.1%
시 33
 
7.3%
구 33
 
7.3%
서 32
 
7.0%
특 32
 
7.0%
별 32
 
7.0%
랑 32
 
7.0%
울 32
 
7.0%
목 16
 
3.5%
Other values (49) 138
30.4%

도로명주소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-18T09:50:08.294365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length33.606061
Min length25

Characters and Unicode

Total characters1109
Distinct characters91
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

Unique29 ?
Unique (%)87.9%

Sample

1st row서울특별시 중랑구 망우로 ***, A동 ****호 (상봉동, 상봉프레미어스엠코)
2nd row서울특별시 중랑구 신내로 ***, ***동 ***호 (신내동, 신내아파트)
3rd row서울특별시 중랑구 면목로**길 **, ***호 (면목동)
4th row서울특별시 중랑구 망우로 ***, *층 *호 (중화동, 삼성빌딩)
5th row서울특별시 중랑구 겸재로**길 ** (면목동)
ValueCountFrequency (%)
33
15.3%
서울특별시 32
14.8%
중랑구 32
14.8%
호 17
 
7.9%
면목동 16
 
7.4%
층 13
 
6.0%
겸재로**길 10
 
4.6%
중화동 5
 
2.3%
묵동 5
 
2.3%
동일로 4
 
1.9%
Other values (36) 49
22.7%
2024-05-18T09:50:09.110732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 210
18.9%
183
16.5%
동 43
 
3.9%
중 40
 
3.6%
, 36
 
3.2%
랑 35
 
3.2%
) 33
 
3.0%
시 33
 
3.0%
구 33
 
3.0%
( 33
 
3.0%
Other values (81) 430
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
53.9%
Other Punctuation 246
22.2%
Space Separator 183
 
16.5%
Close Punctuation 33
 
3.0%
Open Punctuation 33
 
3.0%
Dash Punctuation 11
 
1.0%
Uppercase Letter 3
 
0.3%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
7.2%
중 40
 
6.7%
랑 35
 
5.9%
시 33
 
5.5%
구 33
 
5.5%
로 33
 
5.5%
서 32
 
5.4%
울 32
 
5.4%
별 32
 
5.4%
특 32
 
5.4%
Other values (71) 253
42.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
W 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 210
85.4%
, 36
 
14.6%
Space Separator
ValueCountFrequency (%)
183
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
53.9%
Common 506
45.6%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
7.2%
중 40
 
6.7%
랑 35
 
5.9%
시 33
 
5.5%
구 33
 
5.5%
로 33
 
5.5%
서 32
 
5.4%
울 32
 
5.4%
별 32
 
5.4%
특 32
 
5.4%
Other values (71) 253
42.3%
Common
ValueCountFrequency (%)
* 210
41.5%
183
36.2%
, 36
 
7.1%
) 33
 
6.5%
( 33
 
6.5%
- 11
 
2.2%
Latin
ValueCountFrequency (%)
c 2
40.0%
H 1
20.0%
W 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
53.9%
ASCII 511
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 210
41.1%
183
35.8%
, 36
 
7.0%
) 33
 
6.5%
( 33
 
6.5%
- 11
 
2.2%
c 2
 
0.4%
H 1
 
0.2%
W 1
 
0.2%
A 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 43
 
7.2%
중 40
 
6.7%
랑 35
 
5.9%
시 33
 
5.5%
구 33
 
5.5%
로 33
 
5.5%
서 32
 
5.4%
울 32
 
5.4%
별 32
 
5.4%
특 32
 
5.4%
Other values (71) 253
42.3%

도로명우편번호
Real number (ℝ)

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2584.3636
Minimum2006
Maximum16848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-18T09:50:09.424303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2008.4
Q12087
median2146
Q32217
95-th percentile2235.8
Maximum16848
Range14842
Interquartile range (IQR)130

Descriptive statistics

Standard deviation2561.7678
Coefficient of variation (CV)0.99125671
Kurtosis32.932565
Mean2584.3636
Median Absolute Deviation (MAD)71
Skewness5.7360019
Sum85284
Variance6562654.3
MonotonicityNot monotonic
2024-05-18T09:50:09.750675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2115 2
 
6.1%
2217 2
 
6.1%
2119 2
 
6.1%
2010 2
 
6.1%
2202 2
 
6.1%
2223 2
 
6.1%
2006 2
 
6.1%
2231 2
 
6.1%
2087 1
 
3.0%
2218 1
 
3.0%
Other values (15) 15
45.5%
ValueCountFrequency (%)
2006 2
6.1%
2010 2
6.1%
2026 1
3.0%
2037 1
3.0%
2047 1
3.0%
2050 1
3.0%
2087 1
3.0%
2115 2
6.1%
2117 1
3.0%
2119 2
6.1%
ValueCountFrequency (%)
16848 1
3.0%
2243 1
3.0%
2231 2
6.1%
2228 1
3.0%
2223 2
6.1%
2218 1
3.0%
2217 2
6.1%
2202 2
6.1%
2190 1
3.0%
2183 1
3.0%

사업장명
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-18T09:50:10.170763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length13
Mean length9.1212121
Min length3

Characters and Unicode

Total characters301
Distinct characters95
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

Unique27 ?
Unique (%)81.8%

Sample

1st rowchic entertainment
2nd row노매드뮤직
3rd row비에스엔터테인먼트(BS)
4th row레고리스엔터테인먼트
5th row오름엔터테인먼트
ValueCountFrequency (%)
주식회사 6
 
12.2%
엔터테인먼트 3
 
6.1%
탑클라우드 2
 
4.1%
entertainment 2
 
4.1%
가이아 2
 
4.1%
제이씨이엔티 2
 
4.1%
고릴라제이 2
 
4.1%
더브릿지 1
 
2.0%
모델에이전시 1
 
2.0%
chic 1
 
2.0%
Other values (27) 27
55.1%
2024-05-18T09:50:10.999482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
5.3%
엔 13
 
4.3%
트 13
 
4.3%
먼 12
 
4.0%
인 12
 
4.0%
이 12
 
4.0%
테 11
 
3.7%
터 11
 
3.7%
n 7
 
2.3%
t 6
 
2.0%
Other values (85) 188
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
77.7%
Lowercase Letter 34
 
11.3%
Space Separator 16
 
5.3%
Uppercase Letter 8
 
2.7%
Close Punctuation 4
 
1.3%
Open Punctuation 4
 
1.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
엔 13
 
5.6%
트 13
 
5.6%
먼 12
 
5.1%
인 12
 
5.1%
이 12
 
5.1%
테 11
 
4.7%
터 11
 
4.7%
스 6
 
2.6%
티 6
 
2.6%
주 6
 
2.6%
Other values (65) 132
56.4%
Lowercase Letter
ValueCountFrequency (%)
n 7
20.6%
t 6
17.6%
e 6
17.6%
a 4
11.8%
i 3
8.8%
r 2
 
5.9%
c 2
 
5.9%
m 2
 
5.9%
h 1
 
2.9%
l 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
M 2
25.0%
S 2
25.0%
B 1
12.5%
P 1
12.5%
A 1
12.5%
C 1
12.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
78.1%
Latin 42
 
14.0%
Common 24
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
엔 13
 
5.5%
트 13
 
5.5%
먼 12
 
5.1%
인 12
 
5.1%
이 12
 
5.1%
테 11
 
4.7%
터 11
 
4.7%
스 6
 
2.6%
티 6
 
2.6%
주 6
 
2.6%
Other values (66) 133
56.6%
Latin
ValueCountFrequency (%)
n 7
16.7%
t 6
14.3%
e 6
14.3%
a 4
9.5%
i 3
7.1%
M 2
 
4.8%
S 2
 
4.8%
r 2
 
4.8%
c 2
 
4.8%
m 2
 
4.8%
Other values (6) 6
14.3%
Common
ValueCountFrequency (%)
16
66.7%
) 4
 
16.7%
( 4
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
77.7%
ASCII 66
 
21.9%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
24.2%
n 7
10.6%
t 6
 
9.1%
e 6
 
9.1%
a 4
 
6.1%
) 4
 
6.1%
( 4
 
6.1%
i 3
 
4.5%
M 2
 
3.0%
S 2
 
3.0%
Other values (9) 12
18.2%
Hangul
ValueCountFrequency (%)
엔 13
 
5.6%
트 13
 
5.6%
먼 12
 
5.1%
인 12
 
5.1%
이 12
 
5.1%
테 11
 
4.7%
터 11
 
4.7%
스 6
 
2.6%
티 6
 
2.6%
주 6
 
2.6%
Other values (65) 132
56.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2015-06-02 10:24:08
Maximum2024-01-03 13:22:17
2024-05-18T09:50:11.337638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:50:11.749197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
21 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 21
63.6%
U 12
36.4%

Length

2024-05-18T09:50:12.417318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:12.799502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
63.6%
u 12
36.4%

데이터갱신일자
Date

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 00:05:00
2024-05-18T09:50:13.126308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:50:13.556631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207310.93
Minimum206328.07
Maximum208869.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-18T09:50:14.135384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206328.07
5-th percentile206425.74
Q1206821.11
median207177.57
Q3207570.11
95-th percentile208721.22
Maximum208869.53
Range2541.4676
Interquartile range (IQR)749.00223

Descriptive statistics

Standard deviation692.47827
Coefficient of variation (CV)0.0033402883
Kurtosis-0.095454026
Mean207310.93
Median Absolute Deviation (MAD)361.99978
Skewness0.780764
Sum6841260.6
Variance479526.15
MonotonicityNot monotonic
2024-05-18T09:50:14.751136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
206328.066671402 2
 
6.1%
206490.861618757 2
 
6.1%
206821.108967706 2
 
6.1%
208072.57784615 2
 
6.1%
207177.56790833 2
 
6.1%
206870.065710623 2
 
6.1%
207923.745922676 1
 
3.0%
207386.436142906 1
 
3.0%
207127.381945834 1
 
3.0%
207481.843204146 1
 
3.0%
Other values (17) 17
51.5%
ValueCountFrequency (%)
206328.066671402 2
6.1%
206490.861618757 2
6.1%
206654.225706557 1
3.0%
206758.410389697 1
3.0%
206808.118932313 1
3.0%
206821.108967706 2
6.1%
206844.935047914 1
3.0%
206870.065710623 2
6.1%
206939.553957143 1
3.0%
207026.563405945 1
3.0%
ValueCountFrequency (%)
208869.534242152 1
3.0%
208802.262926247 1
3.0%
208667.192603624 1
3.0%
208294.257367707 1
3.0%
208072.57784615 2
6.1%
207971.338719933 1
3.0%
207923.745922676 1
3.0%
207570.111199801 1
3.0%
207539.567685517 1
3.0%
207481.843204146 1
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453685.67
Minimum423751.13
Maximum456632.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-18T09:50:15.108219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423751.13
5-th percentile452994.63
Q1453783.39
median454416.3
Q3455218.26
95-th percentile456526.81
Maximum456632.11
Range32880.981
Interquartile range (IQR)1434.8738

Descriptive statistics

Standard deviation5479.8322
Coefficient of variation (CV)0.012078477
Kurtosis30.2853
Mean453685.67
Median Absolute Deviation (MAD)711.36494
Skewness-5.392553
Sum14971627
Variance30028560
MonotonicityNot monotonic
2024-05-18T09:50:15.539461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
454557.460766165 2
 
6.1%
454416.301689459 2
 
6.1%
456096.359567266 2
 
6.1%
454037.335434828 2
 
6.1%
453490.550861824 2
 
6.1%
453704.936747576 2
 
6.1%
455090.718335439 1
 
3.0%
453810.822600591 1
 
3.0%
454011.282242904 1
 
3.0%
453698.237877616 1
 
3.0%
Other values (17) 17
51.5%
ValueCountFrequency (%)
423751.127560421 1
3.0%
452586.796523743 1
3.0%
453266.521053844 1
3.0%
453490.550861824 2
6.1%
453698.237877616 1
3.0%
453704.936747576 2
6.1%
453783.39049604 1
3.0%
453810.822600591 1
3.0%
454010.391469206 1
3.0%
454011.282242904 1
3.0%
ValueCountFrequency (%)
456632.108607443 1
3.0%
456548.746473116 1
3.0%
456512.188445632 1
3.0%
456472.216329929 1
3.0%
456096.359567266 2
6.1%
455807.538588639 1
3.0%
455723.472604633 1
3.0%
455218.264332884 1
3.0%
455090.718335439 1
3.0%
454747.277199909 1
3.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
대중문화예술기획업
28 
<NA>
5 

Length

Max length9
Median length9
Mean length8.2424242
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 28
84.8%
<NA> 5
 
15.2%

Length

2024-05-18T09:50:16.035417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:16.438624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 28
84.8%
na 5
 
15.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
유통관련업
28 
<NA>
5 

Length

Max length5
Median length5
Mean length4.8484848
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 28
84.8%
<NA> 5
 
15.2%

Length

2024-05-18T09:50:16.960428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:17.498493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 28
84.8%
na 5
 
15.2%

총층수
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:17.900871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:18.279194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

제작취급품목내용
Text

MISSING 

Distinct22
Distinct (%)78.6%
Missing5
Missing (%)15.2%
Memory size396.0 B
2024-05-18T09:50:18.731528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9
Min length4

Characters and Unicode

Total characters252
Distinct characters49
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)64.3%

Sample

1st row매니지먼트
2nd row연예기획, 공연기획, 음반제작
3rd row연예매니지먼트
4th row연예기획, 엔터테인먼트
5th row연예매니지먼트,공연기획
ValueCountFrequency (%)
엔터테인먼트 5
 
11.1%
매니지먼트 5
 
11.1%
연예매니지먼트 4
 
8.9%
연예기획 4
 
8.9%
공연기획 3
 
6.7%
매니저업 2
 
4.4%
제작 2
 
4.4%
음반제작 2
 
4.4%
및 2
 
4.4%
연예매니지먼트업 1
 
2.2%
Other values (15) 15
33.3%
2024-05-18T09:50:19.831888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
먼 18
 
7.1%
트 18
 
7.1%
17
 
6.7%
연 16
 
6.3%
, 13
 
5.2%
매 13
 
5.2%
니 13
 
5.2%
예 12
 
4.8%
지 11
 
4.4%
획 11
 
4.4%
Other values (39) 110
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
88.1%
Space Separator 17
 
6.7%
Other Punctuation 13
 
5.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
먼 18
 
8.1%
트 18
 
8.1%
연 16
 
7.2%
매 13
 
5.9%
니 13
 
5.9%
예 12
 
5.4%
지 11
 
5.0%
획 11
 
5.0%
기 11
 
5.0%
인 9
 
4.1%
Other values (37) 90
40.5%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
88.1%
Common 30
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
먼 18
 
8.1%
트 18
 
8.1%
연 16
 
7.2%
매 13
 
5.9%
니 13
 
5.9%
예 12
 
5.4%
지 11
 
5.0%
획 11
 
5.0%
기 11
 
5.0%
인 9
 
4.1%
Other values (37) 90
40.5%
Common
ValueCountFrequency (%)
17
56.7%
, 13
43.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 222
88.1%
ASCII 30
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
먼 18
 
8.1%
트 18
 
8.1%
연 16
 
7.2%
매 13
 
5.9%
니 13
 
5.9%
예 12
 
5.4%
지 11
 
5.0%
획 11
 
5.0%
기 11
 
5.0%
인 9
 
4.1%
Other values (37) 90
40.5%
ASCII
ValueCountFrequency (%)
17
56.7%
, 13
43.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)80.0%
Missing23
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean42.272
Minimum0
Maximum165
Zeros3
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-18T09:50:20.364758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.825
median14.85
Q344.125
95-th percentile158.601
Maximum165
Range165
Interquartile range (IQR)43.3

Descriptive statistics

Standard deviation63.011853
Coefficient of variation (CV)1.4906286
Kurtosis0.906197
Mean42.272
Median Absolute Deviation (MAD)14.85
Skewness1.5478541
Sum422.72
Variance3970.4936
MonotonicityNot monotonic
2024-05-18T09:50:20.722423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 3
 
9.1%
9.9 1
 
3.0%
51.28 1
 
3.0%
165.0 1
 
3.0%
22.66 1
 
3.0%
150.78 1
 
3.0%
19.8 1
 
3.0%
3.3 1
 
3.0%
(Missing) 23
69.7%
ValueCountFrequency (%)
0.0 3
9.1%
3.3 1
 
3.0%
9.9 1
 
3.0%
19.8 1
 
3.0%
22.66 1
 
3.0%
51.28 1
 
3.0%
150.78 1
 
3.0%
165.0 1
 
3.0%
ValueCountFrequency (%)
165.0 1
 
3.0%
150.78 1
 
3.0%
51.28 1
 
3.0%
22.66 1
 
3.0%
19.8 1
 
3.0%
9.9 1
 
3.0%
3.3 1
 
3.0%
0.0 3
9.1%

지상층수
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:21.208461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:21.543901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

지하층수
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:21.991566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:22.340502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

통로너비
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:22.927488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:23.287961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

조명시설조도
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:23.775007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:24.204742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

노래방실수
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:24.599581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:25.256920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

청소년실수
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:25.871512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:26.241834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

총게임기수
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
5 

Length

Max length4
Median length4
Mean length3.5454545
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> 28
84.8%
0 5
 
15.2%

Length

2024-05-18T09:50:26.696332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:50:27.154007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 5
 
15.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03060000CDFF324109201500000120150602<NA>1영업/정상13영업중<NA><NA><NA><NA>02-508-7493<NA><NA>서울특별시 중랑구 상봉동 ***번지 상봉프레미어스엠코 A동 ****호서울특별시 중랑구 망우로 ***, A동 ****호 (상봉동, 상봉프레미어스엠코)2087chic entertainment2015-06-02 10:24:08I2018-08-31 23:59:59.0<NA>207923.745923455090.718335대중문화예술기획업유통관련업<NA><NA>매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13060000CDFF324109201500000220150706<NA>2휴업2휴업<NA>2017072420180723<NA>070-4038-7139<NA><NA>서울특별시 중랑구 신내동 ***번지 신내아파트 ***동 ***호서울특별시 중랑구 신내로 ***, ***동 ***호 (신내동, 신내아파트)2026노매드뮤직2017-07-26 13:30:39I2018-08-31 23:59:59.0<NA>208294.257368456632.108607대중문화예술기획업유통관련업<NA><NA>연예기획, 공연기획, 음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFF324109201500000320150721<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-**번지 ***호서울특별시 중랑구 면목로**길 **, ***호 (면목동)2243비에스엔터테인먼트(BS)2015-07-21 09:20:42I2018-08-31 23:59:59.0<NA>207192.016939452586.796524대중문화예술기획업유통관련업<NA><NA>연예매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33060000CDFF324109201500000420150803<NA>3폐업3폐업20200605<NA><NA><NA>070-4028-0937<NA><NA>서울특별시 중랑구 중화동 ***-*서울특별시 중랑구 망우로 ***, *층 *호 (중화동, 삼성빌딩)2115레고리스엔터테인먼트2021-02-02 13:42:34U2021-02-04 02:40:00.0<NA>206328.066671454557.460766대중문화예술기획업유통관련업<NA><NA>연예기획, 엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43060000CDFF324109201500000520150805<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-**번지서울특별시 중랑구 겸재로**길 ** (면목동)2217오름엔터테인먼트2015-08-05 13:05:26I2018-08-31 23:59:59.0<NA>207377.568816453783.390496대중문화예술기획업유통관련업<NA><NA>연예매니지먼트,공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53060000CDFF324109201500000620150805<NA>3폐업3폐업20200326<NA><NA><NA><NA><NA><NA>경기도 용인시 수지구 성복동 ***-*경기도 용인시 수지구 성복*로**번길 **-**, ***호 (성복동)16848담엔터테인먼트2021-11-16 14:53:19U2021-11-18 02:40:00.0<NA>206844.935048423751.12756대중문화예술기획업유통관련업<NA><NA>공연기획,배급,엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63060000CDFF324109201500000720150910<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 *** 금강산아파트 ***호서울특별시 중랑구 중랑천로**길 **, ***호 (상봉동, 금강산아파트)2119탑클라우드2020-10-14 14:41:21U2020-10-16 02:40:00.0<NA>206490.861619454416.301689대중문화예술기획업유통관련업<NA><NA>방송엔터, 공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73060000CDFF324109201600000120160111<NA>1영업/정상13영업중<NA><NA><NA><NA>02-492-3453<NA><NA>서울특별시 중랑구 중화동 ***-**번지 미영리치타운 ***동 ***호서울특별시 중랑구 망우로 ***-*, ***동 ***호 (중화동, 미영리치타운***)2117마이티2016-01-11 17:48:05I2018-08-31 23:59:59.0<NA>206808.118932454747.2772대중문화예술기획업유통관련업<NA><NA>모델에이젼시, 연예인 대리인력파견<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83060000CDFF324109201600000220160517<NA>3폐업3폐업20180920<NA><NA><NA>02-977-9700<NA><NA>서울특별시 중랑구 묵동 ***-***서울특별시 중랑구 동일로***길 **, *층 (묵동, 여명어린이집)2037프리시드엔터테인먼트2021-08-24 08:47:43U2021-08-26 02:40:00.0<NA>207036.564595456548.746473대중문화예술기획업유통관련업<NA><NA>종합엔터테인먼트9.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93060000CDFF324109201600000320160923<NA>3폐업3폐업20161230<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 **-***번지서울특별시 중랑구 겸재로**길 ** (면목동)2202고릴라제이 엔터테인먼트2019-07-21 15:23:00U2019-07-23 02:40:00.0<NA>208072.577846454037.335435대중문화예술기획업유통관련업<NA><NA>연예매니지먼트51.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
233060000CDFF324109202100000320210511<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 *-** HW포레스트빌 ***호서울특별시 중랑구 용마산로**길 **-**, ***호 (면목동, HW포레스트빌)2190도로시 모델에이전시2022-06-30 14:50:47U2021-12-07 00:02:00.0<NA>208667.192604454087.715614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243060000CDFF324109202100000420210713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 ***-**서울특별시 중랑구 동일로***길 **-*, *층 (중화동)2047키즈뮤즈2021-07-13 11:02:00I2021-07-15 00:22:52.0<NA>207026.563406455807.538589대중문화예술기획업유통관련업0<NA>음원, 출판 제작19.800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
253060000CDFF324109202100000520150203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 **-*서울특별시 중랑구 봉우재로 ***, *층 (면목동)2156㈜리옌엔터테인먼트2021-10-27 09:11:44U2021-10-29 02:40:00.0<NA>207971.33872454581.794789대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
263060000CDFF324109202100000620211026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 ***-* 가동 c-**호서울특별시 중랑구 동일로 ***, 가동 *층 c-**호 (묵동)2010에이티티 컴퍼니2021-10-26 09:11:04I2021-10-28 00:22:56.0<NA>206821.108968456096.359567대중문화예술기획업유통관련업0<NA>매니저업0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
273060000CDFF324109202100000720211214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-***서울특별시 중랑구 겸재로**길 **-* (면목동)2231매니지먼트 가이아2021-12-14 18:17:22I2021-12-16 00:22:43.0<NA>206870.065711453704.936748대중문화예술기획업유통관련업0<NA>매니저업0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
283060000CDFF324109202100000820211231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 ***-* c-**호서울특별시 중랑구 동일로 ***, *층 c-**호 (묵동)2010오렌지컴퍼니 주식회사2021-12-31 15:10:48I2022-01-02 00:22:41.0<NA>206821.108968456096.359567대중문화예술기획업유통관련업0<NA>공연기획3.300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
293060000CDFF324109202200000120220429<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 ***-*서울특별시 중랑구 용마공원로*길 **, *층 ***호 (망우동)2183루다온2022-04-29 12:23:48I2021-12-05 00:01:00.0<NA>208802.262926454587.974683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303060000CDFF324109202200000220221013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 ***-** 블루포스서울특별시 중랑구 동일로 ***, 블루포스 *층 **호 (묵동)2006호리스2022-10-13 10:26:10I2021-10-30 23:05:00.0<NA>206758.41039456472.21633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313060000CDFF32410920230000022023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-432-8384<NA><NA>서울특별시 중랑구 면목동 ***-**서울특별시 중랑구 겸재로**길 **-* (면목동)2217타라기획2023-09-08 18:17:38I2022-12-08 23:00:00.0<NA>207481.843204453698.237878<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323060000CDFF32410920240000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-8648<NA><NA>서울특별시 중랑구 면목동 ***-** 대성쉐르빌서울특별시 중랑구 겸재로**길 **-*, ***호 (면목동, 대성쉐르빌)2141티미드프리크2024-01-03 13:22:17I2023-12-01 00:05:00.0<NA>207127.381946454011.282243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>