Overview

Dataset statistics

Number of variables56
Number of observations22
Missing cells709
Missing cells (%)57.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory492.0 B

Variable types

Categorical13
Text9
DateTime4
Unsupported27
Numeric3

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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17807/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (66.5%)Imbalance
총층수 is highly imbalanced (73.3%)Imbalance
시설면적 is highly imbalanced (66.5%)Imbalance
지상층수 is highly imbalanced (73.3%)Imbalance
지하층수 is highly imbalanced (73.3%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 14 (63.6%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 16 (72.7%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
도로명주소 has 5 (22.7%) missing valuesMissing
도로명우편번호 has 5 (22.7%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.5%) missing valuesMissing
좌표정보(Y) has 1 (4.5%) missing valuesMissing
주변환경명 has 20 (90.9%) missing valuesMissing
제작취급품목내용 has 13 (59.1%) missing valuesMissing
건물용도명 has 20 (90.9%) missing valuesMissing
통로너비 has 22 (100.0%) missing valuesMissing
조명시설조도 has 22 (100.0%) missing valuesMissing
노래방실수 has 22 (100.0%) missing valuesMissing
청소년실수 has 22 (100.0%) missing valuesMissing
비상계단여부 has 22 (100.0%) missing valuesMissing
비상구여부 has 22 (100.0%) missing valuesMissing
자동환기여부 has 22 (100.0%) missing valuesMissing
청소년실여부 has 22 (100.0%) missing valuesMissing
특수조명여부 has 22 (100.0%) missing valuesMissing
방음시설여부 has 22 (100.0%) missing valuesMissing
비디오재생기명 has 22 (100.0%) missing valuesMissing
조명시설유무 has 22 (100.0%) missing valuesMissing
음향시설여부 has 22 (100.0%) missing valuesMissing
편의시설여부 has 22 (100.0%) missing valuesMissing
소방시설여부 has 22 (100.0%) missing valuesMissing
총게임기수 has 22 (100.0%) missing valuesMissing
기존게임업외업종명 has 22 (100.0%) missing valuesMissing
제공게임물명 has 22 (100.0%) missing valuesMissing
공연장형태구분명 has 22 (100.0%) missing valuesMissing
품목명 has 22 (100.0%) missing valuesMissing
최초등록시점 has 22 (100.0%) missing valuesMissing
지역구분명 has 20 (90.9%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
소재지면적 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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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

Reproduction

Analysis started2024-05-11 05:07:23.218295
Analysis finished2024-05-11 05:07:24.546861
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3050000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 22
100.0%

Length

2024-05-11T05:07:24.841641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:25.297422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:07:25.862621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
Distinct characters12
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

Unique22 ?
Unique (%)100.0%

Sample

1st rowCDFF3241062006000001
2nd rowCDFF3241062007000001
3rd rowCDFF3241062007000002
4th rowCDFF3241062008000002
5th rowCDFF3241062008000003
ValueCountFrequency (%)
cdff3241062006000001 1
 
4.5%
cdff3241062007000001 1
 
4.5%
cdff3241062024000003 1
 
4.5%
cdff3241062024000002 1
 
4.5%
cdff3241062024000001 1
 
4.5%
cdff3241062023000002 1
 
4.5%
cdff3241062023000001 1
 
4.5%
cdff3241062021000001 1
 
4.5%
cdff3241062020000001 1
 
4.5%
cdff3241062019000003 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T05:07:27.003482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 162
36.8%
2 59
 
13.4%
F 44
 
10.0%
1 41
 
9.3%
4 29
 
6.6%
3 27
 
6.1%
6 24
 
5.5%
C 22
 
5.0%
D 22
 
5.0%
9 5
 
1.1%
Other values (2) 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
80.0%
Uppercase Letter 88
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 162
46.0%
2 59
 
16.8%
1 41
 
11.6%
4 29
 
8.2%
3 27
 
7.7%
6 24
 
6.8%
9 5
 
1.4%
8 3
 
0.9%
7 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
80.0%
Latin 88
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 162
46.0%
2 59
 
16.8%
1 41
 
11.6%
4 29
 
8.2%
3 27
 
7.7%
6 24
 
6.8%
9 5
 
1.4%
8 3
 
0.9%
7 2
 
0.6%
Latin
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 162
36.8%
2 59
 
13.4%
F 44
 
10.0%
1 41
 
9.3%
4 29
 
6.6%
3 27
 
6.1%
6 24
 
5.5%
C 22
 
5.0%
D 22
 
5.0%
9 5
 
1.1%
Other values (2) 5
 
1.1%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2006-04-05 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T05:07:27.671143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:07:28.127585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
14 
3
6 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 14
63.6%
3 6
27.3%
4 2
 
9.1%

Length

2024-05-11T05:07:28.635536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:29.067474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
63.6%
3 6
27.3%
4 2
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
14 
폐업
6 
취소/말소/만료/정지/중지
2 

Length

Max length14
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 14
63.6%
폐업 6
27.3%
취소/말소/만료/정지/중지 2
 
9.1%

Length

2024-05-11T05:07:29.645359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:30.108526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
63.6%
폐업 6
27.3%
취소/말소/만료/정지/중지 2
 
9.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
13
14 
3
6 
35
2 

Length

Max length2
Median length2
Mean length1.7272727
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row3
3rd row35
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 14
63.6%
3 6
27.3%
35 2
 
9.1%

Length

2024-05-11T05:07:30.704889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:31.110685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 14
63.6%
3 6
27.3%
35 2
 
9.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업중
14 
폐업
6 
직권말소
2 

Length

Max length4
Median length3
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 14
63.6%
폐업 6
27.3%
직권말소 2
 
9.1%

Length

2024-05-11T05:07:31.702219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:32.299728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 14
63.6%
폐업 6
27.3%
직권말소 2
 
9.1%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)75.0%
Missing14
Missing (%)63.6%
Memory size308.0 B
Minimum2009-02-01 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T05:07:32.827928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:07:33.291576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing16
Missing (%)72.7%
Memory size308.0 B
2024-05-11T05:07:33.754128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length11.166667
Min length9

Characters and Unicode

Total characters67
Distinct characters10
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

Unique6 ?
Unique (%)100.0%

Sample

1st row02-2212-6406
2nd row02-953-8401
3rd row02-923-2923
4th row02-2252-5494
5th row2212-1821
ValueCountFrequency (%)
02-2212-6406 1
16.7%
02-953-8401 1
16.7%
02-923-2923 1
16.7%
02-2252-5494 1
16.7%
2212-1821 1
16.7%
02-3443-1288 1
16.7%
2024-05-11T05:07:34.765248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 19
28.4%
- 11
16.4%
0 7
 
10.4%
1 6
 
9.0%
4 6
 
9.0%
3 5
 
7.5%
9 4
 
6.0%
8 4
 
6.0%
5 3
 
4.5%
6 2
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56
83.6%
Dash Punctuation 11
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19
33.9%
0 7
 
12.5%
1 6
 
10.7%
4 6
 
10.7%
3 5
 
8.9%
9 4
 
7.1%
8 4
 
7.1%
5 3
 
5.4%
6 2
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 19
28.4%
- 11
16.4%
0 7
 
10.4%
1 6
 
9.0%
4 6
 
9.0%
3 5
 
7.5%
9 4
 
6.0%
8 4
 
6.0%
5 3
 
4.5%
6 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 19
28.4%
- 11
16.4%
0 7
 
10.4%
1 6
 
9.0%
4 6
 
9.0%
3 5
 
7.5%
9 4
 
6.0%
8 4
 
6.0%
5 3
 
4.5%
6 2
 
3.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
130835
 
1
130868
 
1

Length

Max length6
Median length4
Mean length4.1818182
Min length4

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row130835
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
130835 1
 
4.5%
130868 1
 
4.5%

Length

2024-05-11T05:07:35.415141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:35.873079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
130835 1
 
4.5%
130868 1
 
4.5%

지번주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:07:36.433093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30.5
Mean length27.090909
Min length20

Characters and Unicode

Total characters596
Distinct characters75
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 동대문구 용두동 ***-*번지 경호빌딩***호
2nd row서울특별시 동대문구 장안동 ***-*번지 *층
3rd row서울특별시 동대문구 용두동 ***-**번지 선농테라스 ***호
4th row서울특별시 동대문구 용두동 ***-**번지
5th row서울특별시 동대문구 신설동 **-** *층
ValueCountFrequency (%)
서울특별시 22
20.6%
동대문구 22
20.6%
12
11.2%
번지 10
9.3%
장안동 6
 
5.6%
제기동 3
 
2.8%
용두동 3
 
2.8%
답십리동 3
 
2.8%
청량리동 2
 
1.9%
휘경동 2
 
1.9%
Other values (19) 22
20.6%
2024-05-11T05:07:37.378738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 112
18.8%
95
15.9%
동 46
 
7.7%
문 24
 
4.0%
서 22
 
3.7%
특 22
 
3.7%
별 22
 
3.7%
시 22
 
3.7%
대 22
 
3.7%
구 22
 
3.7%
Other values (65) 187
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
61.6%
Other Punctuation 113
 
19.0%
Space Separator 95
 
15.9%
Dash Punctuation 20
 
3.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
 
12.5%
문 24
 
6.5%
서 22
 
6.0%
특 22
 
6.0%
별 22
 
6.0%
시 22
 
6.0%
대 22
 
6.0%
구 22
 
6.0%
울 22
 
6.0%
지 11
 
3.0%
Other values (60) 132
36.0%
Other Punctuation
ValueCountFrequency (%)
* 112
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
61.6%
Common 228
38.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
 
12.5%
문 24
 
6.5%
서 22
 
6.0%
특 22
 
6.0%
별 22
 
6.0%
시 22
 
6.0%
대 22
 
6.0%
구 22
 
6.0%
울 22
 
6.0%
지 11
 
3.0%
Other values (60) 132
36.0%
Common
ValueCountFrequency (%)
* 112
49.1%
95
41.7%
- 20
 
8.8%
. 1
 
0.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
61.6%
ASCII 229
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 112
48.9%
95
41.5%
- 20
 
8.7%
. 1
 
0.4%
B 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 46
 
12.5%
문 24
 
6.5%
서 22
 
6.0%
특 22
 
6.0%
별 22
 
6.0%
시 22
 
6.0%
대 22
 
6.0%
구 22
 
6.0%
울 22
 
6.0%
지 11
 
3.0%
Other values (60) 132
36.0%

도로명주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-05-11T05:07:37.864218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length37.588235
Min length27

Characters and Unicode

Total characters639
Distinct characters86
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 천호대로**길 ** (용두동)
2nd row서울특별시 동대문구 하정로*길 **, *층 (신설동)
3rd row서울특별시 동대문구 답십리로 ***, *층 (장안동)
4th row서울특별시 동대문구 천장산로*길 **-*, *층 ***호 (이문동)
5th row서울특별시 동대문구 왕산로 ***, 지하층 *,*,*호 (제기동, 한솔동의보감)
ValueCountFrequency (%)
서울특별시 17
13.9%
17
13.9%
동대문구 17
13.9%
층 9
 
7.4%
호 8
 
6.6%
장안동 4
 
3.3%
답십리동 3
 
2.5%
제기동 3
 
2.5%
제기로**길 2
 
1.6%
휘경동 2
 
1.6%
Other values (35) 40
32.8%
2024-05-11T05:07:38.738375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
16.4%
* 100
 
15.6%
동 39
 
6.1%
, 22
 
3.4%
대 20
 
3.1%
문 19
 
3.0%
로 17
 
2.7%
울 17
 
2.7%
) 17
 
2.7%
( 17
 
2.7%
Other values (76) 266
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
58.7%
Other Punctuation 123
 
19.2%
Space Separator 105
 
16.4%
Close Punctuation 17
 
2.7%
Open Punctuation 17
 
2.7%
Dash Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
10.4%
대 20
 
5.3%
문 19
 
5.1%
로 17
 
4.5%
울 17
 
4.5%
서 17
 
4.5%
구 17
 
4.5%
시 17
 
4.5%
별 17
 
4.5%
특 17
 
4.5%
Other values (68) 178
47.5%
Other Punctuation
ValueCountFrequency (%)
* 100
81.3%
, 22
 
17.9%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
58.7%
Common 263
41.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
10.4%
대 20
 
5.3%
문 19
 
5.1%
로 17
 
4.5%
울 17
 
4.5%
서 17
 
4.5%
구 17
 
4.5%
시 17
 
4.5%
별 17
 
4.5%
특 17
 
4.5%
Other values (68) 178
47.5%
Common
ValueCountFrequency (%)
105
39.9%
* 100
38.0%
, 22
 
8.4%
) 17
 
6.5%
( 17
 
6.5%
. 1
 
0.4%
- 1
 
0.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
58.7%
ASCII 264
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
39.8%
* 100
37.9%
, 22
 
8.3%
) 17
 
6.4%
( 17
 
6.4%
. 1
 
0.4%
- 1
 
0.4%
B 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 39
 
10.4%
대 20
 
5.3%
문 19
 
5.1%
로 17
 
4.5%
울 17
 
4.5%
서 17
 
4.5%
구 17
 
4.5%
시 17
 
4.5%
별 17
 
4.5%
특 17
 
4.5%
Other values (68) 178
47.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing5
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean2550.8824
Minimum2448
Maximum2637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:07:39.122848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2448
5-th percentile2448.8
Q12480
median2582
Q32615
95-th percentile2630.6
Maximum2637
Range189
Interquartile range (IQR)135

Descriptive statistics

Standard deviation69.597847
Coefficient of variation (CV)0.027283833
Kurtosis-1.6922503
Mean2550.8824
Median Absolute Deviation (MAD)47
Skewness-0.27928436
Sum43365
Variance4843.8603
MonotonicityNot monotonic
2024-05-11T05:07:39.523468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2480 2
 
9.1%
2624 1
 
4.5%
2449 1
 
4.5%
2568 1
 
4.5%
2629 1
 
4.5%
2470 1
 
4.5%
2615 1
 
4.5%
2582 1
 
4.5%
2497 1
 
4.5%
2586 1
 
4.5%
Other values (6) 6
27.3%
(Missing) 5
22.7%
ValueCountFrequency (%)
2448 1
4.5%
2449 1
4.5%
2470 1
4.5%
2480 2
9.1%
2496 1
4.5%
2497 1
4.5%
2568 1
4.5%
2582 1
4.5%
2583 1
4.5%
2586 1
4.5%
ValueCountFrequency (%)
2637 1
4.5%
2629 1
4.5%
2625 1
4.5%
2624 1
4.5%
2615 1
4.5%
2596 1
4.5%
2586 1
4.5%
2583 1
4.5%
2582 1
4.5%
2568 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:07:40.052986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length7.6818182
Min length1

Characters and Unicode

Total characters169
Distinct characters86
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

Unique22 ?
Unique (%)100.0%

Sample

1st row(주)위버테크
2nd row소리레코드
3rd row주식회사 제이케이웍스
4th row오봉미디어
5th row주식회사 월드뮤직
ValueCountFrequency (%)
스튜디오 4
 
12.1%
주식회사 3
 
9.1%
주)위버테크 1
 
3.0%
케이팝코인노래뮤비방 1
 
3.0%
주)이엑스디 1
 
3.0%
드렁크 1
 
3.0%
하프 1
 
3.0%
frame 1
 
3.0%
프레임(the 1
 
3.0%
더 1
 
3.0%
Other values (18) 18
54.5%
2024-05-11T05:07:41.084071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.5%
뮤 8
 
4.7%
스 8
 
4.7%
디 6
 
3.6%
주 5
 
3.0%
오 5
 
3.0%
노 4
 
2.4%
래 4
 
2.4%
비 4
 
2.4%
방 4
 
2.4%
Other values (76) 110
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
78.1%
Space Separator 11
 
6.5%
Lowercase Letter 11
 
6.5%
Uppercase Letter 7
 
4.1%
Open Punctuation 4
 
2.4%
Close Punctuation 4
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
뮤 8
 
6.1%
스 8
 
6.1%
디 6
 
4.5%
주 5
 
3.8%
오 5
 
3.8%
노 4
 
3.0%
래 4
 
3.0%
비 4
 
3.0%
방 4
 
3.0%
튜 4
 
3.0%
Other values (56) 80
60.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
h 1
9.1%
m 1
9.1%
a 1
9.1%
r 1
9.1%
t 1
9.1%
u 1
9.1%
d 1
9.1%
i 1
9.1%
o 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
F 1
14.3%
T 1
14.3%
O 1
14.3%
K 1
14.3%
A 1
14.3%
S 1
14.3%
R 1
14.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
78.1%
Common 19
 
11.2%
Latin 18
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
뮤 8
 
6.1%
스 8
 
6.1%
디 6
 
4.5%
주 5
 
3.8%
오 5
 
3.8%
노 4
 
3.0%
래 4
 
3.0%
비 4
 
3.0%
방 4
 
3.0%
튜 4
 
3.0%
Other values (56) 80
60.6%
Latin
ValueCountFrequency (%)
e 2
 
11.1%
h 1
 
5.6%
m 1
 
5.6%
a 1
 
5.6%
r 1
 
5.6%
F 1
 
5.6%
T 1
 
5.6%
O 1
 
5.6%
K 1
 
5.6%
A 1
 
5.6%
Other values (7) 7
38.9%
Common
ValueCountFrequency (%)
11
57.9%
( 4
 
21.1%
) 4
 
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
78.1%
ASCII 37
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
29.7%
( 4
 
10.8%
) 4
 
10.8%
e 2
 
5.4%
h 1
 
2.7%
m 1
 
2.7%
a 1
 
2.7%
r 1
 
2.7%
F 1
 
2.7%
T 1
 
2.7%
Other values (10) 10
27.0%
Hangul
ValueCountFrequency (%)
뮤 8
 
6.1%
스 8
 
6.1%
디 6
 
4.5%
주 5
 
3.8%
오 5
 
3.8%
노 4
 
3.0%
래 4
 
3.0%
비 4
 
3.0%
방 4
 
3.0%
튜 4
 
3.0%
Other values (56) 80
60.6%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2009-02-04 09:58:22
Maximum2024-04-25 16:09:39
2024-05-11T05:07:41.563086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:07:41.977850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
17 
U
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 17
77.3%
U 5
 
22.7%

Length

2024-05-11T05:07:42.557656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:42.874368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
77.3%
u 5
 
22.7%

데이터갱신일자
Date

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T05:07:43.195150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:07:43.690182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)95.2%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean204339.88
Minimum202090.97
Maximum206425.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:07:44.177499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202090.97
5-th percentile202225.7
Q1203075.1
median204392.44
Q3205746.75
95-th percentile206282.75
Maximum206425.57
Range4334.5968
Interquartile range (IQR)2671.6516

Descriptive statistics

Standard deviation1452.7775
Coefficient of variation (CV)0.0071096134
Kurtosis-1.4478754
Mean204339.88
Median Absolute Deviation (MAD)1354.3067
Skewness-0.013933727
Sum4291137.4
Variance2110562.5
MonotonicityNot monotonic
2024-05-11T05:07:44.551461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
203587.979837091 2
 
9.1%
202869.074186985 1
 
4.5%
203631.769947141 1
 
4.5%
204392.443443929 1
 
4.5%
204825.18158204 1
 
4.5%
205974.654499441 1
 
4.5%
206425.569608881 1
 
4.5%
202090.972773264 1
 
4.5%
205281.23377162 1
 
4.5%
205004.375356464 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
202090.972773264 1
4.5%
202225.699442949 1
4.5%
202589.012047436 1
4.5%
202725.665252524 1
4.5%
202869.074186985 1
4.5%
203075.098504907 1
4.5%
203587.979837091 2
9.1%
203615.098036032 1
4.5%
203631.769947141 1
4.5%
204392.443443929 1
4.5%
ValueCountFrequency (%)
206425.569608881 1
4.5%
206282.745291263 1
4.5%
206184.391228311 1
4.5%
206060.920900842 1
4.5%
205974.654499441 1
4.5%
205746.750137633 1
4.5%
205281.23377162 1
4.5%
205004.375356464 1
4.5%
204960.781231559 1
4.5%
204825.18158204 1
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)95.2%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean453057.27
Minimum451405.34
Maximum455294.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:07:44.918837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451405.34
5-th percentile451748.8
Q1452352.2
median452918.84
Q3453785.23
95-th percentile455148.97
Maximum455294.03
Range3888.6893
Interquartile range (IQR)1433.0376

Descriptive statistics

Standard deviation1062.8625
Coefficient of variation (CV)0.0023459782
Kurtosis-0.18749392
Mean453057.27
Median Absolute Deviation (MAD)842.96937
Skewness0.62143916
Sum9514202.6
Variance1129676.6
MonotonicityNot monotonic
2024-05-11T05:07:45.315117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
453785.234015304 2
 
9.1%
452745.38786189 1
 
4.5%
453841.781218792 1
 
4.5%
452352.196423433 1
 
4.5%
455294.028295265 1
 
4.5%
451858.754428857 1
 
4.5%
452075.867090677 1
 
4.5%
452491.968718078 1
 
4.5%
454012.938548564 1
 
4.5%
451748.804705554 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
451405.339026517 1
4.5%
451748.804705554 1
4.5%
451858.754428857 1
4.5%
452075.867090677 1
4.5%
452211.880026589 1
4.5%
452352.196423433 1
4.5%
452464.500706795 1
4.5%
452491.968718078 1
4.5%
452590.6097819 1
4.5%
452745.38786189 1
4.5%
ValueCountFrequency (%)
455294.028295265 1
4.5%
455148.969397152 1
4.5%
454301.160936523 1
4.5%
454012.938548564 1
4.5%
453841.781218792 1
4.5%
453785.234015304 2
9.1%
453172.201321175 1
4.5%
453027.76662598 1
4.5%
452969.169150213 1
4.5%
452918.836458244 1
4.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
음반.음악영상물제작업
12 
<NA>
10 

Length

Max length11
Median length11
Mean length7.8181818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 12
54.5%
<NA> 10
45.5%

Length

2024-05-11T05:07:46.029327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:46.421747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 12
54.5%
na 10
45.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
유통관련업
12 
<NA>
10 

Length

Max length5
Median length5
Mean length4.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 12
54.5%
<NA> 10
45.5%

Length

2024-05-11T05:07:46.907237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:47.309457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 12
54.5%
na 10
45.5%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
9
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
9 1
 
4.5%

Length

2024-05-11T05:07:47.750554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:48.121440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
9 1
 
4.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing20
Missing (%)90.9%
Memory size308.0 B
2024-05-11T05:07:48.317742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T05:07:48.942083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing13
Missing (%)59.1%
Memory size308.0 B
2024-05-11T05:07:49.380951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length9.1111111
Min length2

Characters and Unicode

Total characters82
Distinct characters25
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)77.8%

Sample

1st row음반,음악영상물
2nd row음반
3rd row음반,음악영상물
4th row음반.음악영상물
5th row뮤직비디오
ValueCountFrequency (%)
음반 3
18.8%
음반,음악영상물 2
12.5%
음반.음악영상물 1
 
6.2%
뮤직비디오 1
 
6.2%
음악 1
 
6.2%
영상물제작업 1
 
6.2%
음악영상물 1
 
6.2%
제작업 1
 
6.2%
음악,음반,영상물 1
 
6.2%
cd,usb,dvd 1
 
6.2%
Other values (3) 3
18.8%
2024-05-11T05:07:50.482040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 13
15.9%
반 7
8.5%
영 7
8.5%
상 7
8.5%
물 7
8.5%
7
8.5%
, 6
 
7.3%
악 6
 
7.3%
D 3
 
3.7%
작 2
 
2.4%
Other values (15) 17
20.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
73.2%
Uppercase Letter 8
 
9.8%
Space Separator 7
 
8.5%
Other Punctuation 7
 
8.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 13
21.7%
반 7
11.7%
영 7
11.7%
상 7
11.7%
물 7
11.7%
악 6
10.0%
작 2
 
3.3%
제 2
 
3.3%
업 2
 
3.3%
등 1
 
1.7%
Other values (6) 6
10.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
37.5%
U 1
 
12.5%
S 1
 
12.5%
B 1
 
12.5%
V 1
 
12.5%
C 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
73.2%
Common 14
 
17.1%
Latin 8
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 13
21.7%
반 7
11.7%
영 7
11.7%
상 7
11.7%
물 7
11.7%
악 6
10.0%
작 2
 
3.3%
제 2
 
3.3%
업 2
 
3.3%
등 1
 
1.7%
Other values (6) 6
10.0%
Latin
ValueCountFrequency (%)
D 3
37.5%
U 1
 
12.5%
S 1
 
12.5%
B 1
 
12.5%
V 1
 
12.5%
C 1
 
12.5%
Common
ValueCountFrequency (%)
7
50.0%
, 6
42.9%
. 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
73.2%
ASCII 22
 
26.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 13
21.7%
반 7
11.7%
영 7
11.7%
상 7
11.7%
물 7
11.7%
악 6
10.0%
작 2
 
3.3%
제 2
 
3.3%
업 2
 
3.3%
등 1
 
1.7%
Other values (6) 6
10.0%
ASCII
ValueCountFrequency (%)
7
31.8%
, 6
27.3%
D 3
13.6%
U 1
 
4.5%
S 1
 
4.5%
B 1
 
4.5%
V 1
 
4.5%
C 1
 
4.5%
. 1
 
4.5%

시설면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
242
 
1
996
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length3

Unique

Unique2 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
242 1
 
4.5%
996 1
 
4.5%

Length

2024-05-11T05:07:51.037108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:51.333336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
242 1
 
4.5%
996 1
 
4.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
7
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
7 1
 
4.5%

Length

2024-05-11T05:07:51.658105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:51.983086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
7 1
 
4.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
2
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
2 1
 
4.5%

Length

2024-05-11T05:07:52.287697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:07:52.681317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
2 1
 
4.5%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing20
Missing (%)90.9%
Memory size308.0 B
2024-05-11T05:07:52.946885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row근린생활시설
2nd row사무실
ValueCountFrequency (%)
근린생활시설 1
50.0%
사무실 1
50.0%
2024-05-11T05:07:53.707049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%
사 1
11.1%
무 1
11.1%
실 1
11.1%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing20
Missing (%)90.9%
Memory size308.0 B
2024-05-11T05:07:54.017807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린상업지역
2nd row근린상업지역
ValueCountFrequency (%)
근린상업지역 2
100.0%
2024-05-11T05:07:54.813755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
상 2
16.7%
업 2
16.7%
지 2
16.7%
역 2
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF324106200600000120060405<NA>4취소/말소/만료/정지/중지35직권말소20120917<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-*번지 경호빌딩***호<NA><NA>(주)위버테크2012-09-17 16:26:28I2018-08-31 23:59:59.0<NA>202869.074187452745.387862음반.음악영상물제작업유통관련업<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>
13050000CDFF324106200700000120070322<NA>3폐업3폐업20090201<NA><NA><NA>02-2212-6406<NA>130835서울특별시 동대문구 장안동 ***-*번지 *층<NA><NA>소리레코드2009-02-04 09:58:22I2018-08-31 23:59:59.0<NA>206060.920901452969.16915음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물<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>
23050000CDFF324106200700000220070914<NA>4취소/말소/만료/정지/중지35직권말소20120917<NA><NA><NA>02-953-8401<NA><NA>서울특별시 동대문구 용두동 ***-**번지 선농테라스 ***호<NA><NA>주식회사 제이케이웍스2012-09-17 16:27:30I2018-08-31 23:59:59.0<NA>202725.665253453172.201321음반.음악영상물제작업유통관련업<NA><NA>음반<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>
33050000CDFF324106200800000220080806<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-**번지서울특별시 동대문구 천호대로**길 ** (용두동)2583오봉미디어2012-05-29 10:25:21I2018-08-31 23:59:59.0<NA>202589.012047452464.500707음반.음악영상물제작업유통관련업<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>
43050000CDFF32410620080000032008-12-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-923-2923<NA><NA>서울특별시 동대문구 신설동 **-** *층서울특별시 동대문구 하정로*길 **, *층 (신설동)2582주식회사 월드뮤직2024-02-29 09:33:47U2023-12-03 00:03:00.0<NA>202225.699443452590.609782<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>
53050000CDFF324106200900000120090304<NA>3폐업3폐업20120601<NA><NA><NA>02-2252-5494<NA>130868서울특별시 동대문구 청량리동 ***-***번지<NA><NA>OK뮤직엔터티인먼트2012-06-01 18:05:06I2018-08-31 23:59:59.0<NA>203615.098036454301.160937음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물<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>
63050000CDFF324106200900000220090602<NA>3폐업3폐업20120601<NA><NA><NA>2212-1821<NA><NA>서울특별시 동대문구 장안동 ***-*번지 한신아파트상가 지하<NA><NA>정호뮤직2012-06-01 18:07:41I2018-08-31 23:59:59.0<NA>206282.745291453027.766626음반.음악영상물제작업유통관련업<NA><NA>음반.음악영상물<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>
73050000CDFF32410620140000012014-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*서울특별시 동대문구 답십리로 ***, *층 (장안동)2624유니크뮤직2023-12-22 15:28:57U2022-11-01 22:04:00.0<NA>206184.391228452211.880027<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>
83050000CDFF324106201400000220140618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 ***-***번지서울특별시 동대문구 천장산로*길 **-*, *층 ***호 (이문동)2449스튜디오 루머2014-07-22 15:51:02I2018-08-31 23:59:59.0<NA>204960.781232455148.969397음반.음악영상물제작업유통관련업<NA><NA>뮤직비디오<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>
93050000CDFF324106201600000120160608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-**번지서울특별시 동대문구 왕산로 ***, 지하층 *,*,*호 (제기동, 한솔동의보감)2568스튜디오 라(Studio RA)2016-11-21 16:56:32I2018-08-31 23:59:59.0<NA>203075.098505452918.836458음반.음악영상물제작업유통관련업9기타<NA>24272근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
123050000CDFF324106201900000220190704<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 **-*번지 답십리포레스트스퀘어 B***호서울특별시 동대문구 전농로 **, 답십리포레스트스퀘어 B***호 (답십리동)2615케이팝코인노래뮤비방2019-07-04 14:11:10I2019-07-06 02:21:29.0<NA>205004.375356451748.804706음반.음악영상물제작업유통관련업<NA><NA>음악영상물 제작업<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>
133050000CDFF32410620190000032019-12-27<NA>3폐업3폐업2023-03-13<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-**서울특별시 동대문구 제기로**길 *, 지하*층 (제기동)2480동문노래뮤비방2023-03-13 15:35:58U2022-12-02 23:05:00.0<NA>203587.979837453785.234015<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>
143050000CDFF324106202000000120200831<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 ***-*** 휘경동복합빌딩서울특별시 동대문구 망우로**가길 **, 휘경동복합빌딩 *층층 (휘경동)2497뜻2020-08-31 14:32:58I2020-09-02 00:23:13.0<NA>205281.233772454012.938549음반.음악영상물제작업유통관련업<NA><NA>음악,음반,영상물<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>
153050000CDFF324106202100000120210423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 ***-*서울특별시 동대문구 천호대로 **, 광일빌딩 ***호 (신설동)2586추억나라2021-04-23 13:15:22I2021-04-25 00:22:57.0<NA>202090.972773452491.968718음반.음악영상물제작업유통관련업<NA><NA>CD,USB,DVD 등 음반 및 영상물<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>
163050000CDFF32410620230000012023-03-23<NA>3폐업3폐업2024-03-14<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-**서울특별시 동대문구 제기로**길 *, 지하층 (제기동)2480스타노래뮤비방2024-03-15 15:25:24U2023-12-02 23:07:00.0<NA>203587.979837453785.234015<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>
173050000CDFF32410620230000022023-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 르.메이에르 장안타운 *차서울특별시 동대문구 장한로**다길 **, ***호 (장안동, 르.메이에르 장안타운 *차)2637스완송 스튜디오2023-04-27 16:57:04I2022-12-03 22:09:00.0<NA>206425.569609452075.867091<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>
183050000CDFF32410620240000012024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 우민에뜨와르오피스텔서울특별시 동대문구 한천로**길 **, 우민에뜨와르오피스텔 **층 ****호 (장안동)2625더 프레임(The Frame)2024-03-06 14:21:12I2023-12-03 00:08:00.0<NA>205974.654499451858.754429<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>
193050000CDFF32410620240000022024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 ***-***서울특별시 동대문구 천장산로**길 **, *층 ***호 (이문동)2448하프 드렁크 스튜디오2024-03-07 09:11:02I2023-12-03 00:09:00.0<NA>204825.181582455294.028295<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>
203050000CDFF32410620240000032024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 답십리동 **** 답십리동 누리마루서울특별시 동대문구 답십리로**길 **, ***동 *층 ***호 (답십리동, 답십리동 누리마루)2596(주)이엑스디2024-04-02 17:04:43I2023-12-04 00:04:00.0<NA>204392.443444452352.196423<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>
213050000CDFF32410620240000042024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 *** 회기역 하트리움서울특별시 동대문구 망우로 **, ***동 *층 *호 (휘경동, 회기역 하트리움)2496트랙원2024-04-25 16:09:39I2023-12-03 22:07:00.0<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><NA><NA><NA>