Overview

Dataset statistics

Number of variables56
Number of observations62
Missing cells1711
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory490.1 B

Variable types

Categorical18
Text5
Numeric6
Unsupported26
DateTime1

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-17272/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
도로명우편번호 is highly imbalanced (73.8%)Imbalance
데이터갱신구분 is highly imbalanced (59.6%)Imbalance
데이터갱신일자 is highly imbalanced (74.2%)Imbalance
주변환경명 is highly imbalanced (65.5%)Imbalance
통로너비 is highly imbalanced (88.1%)Imbalance
비디오재생기명 is highly imbalanced (54.1%)Imbalance
지역구분명 is highly imbalanced (53.9%)Imbalance
인허가취소일자 has 62 (100.0%) missing valuesMissing
휴업시작일자 has 62 (100.0%) missing valuesMissing
휴업종료일자 has 62 (100.0%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
전화번호 has 4 (6.5%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 32 (51.6%) missing valuesMissing
도로명주소 has 56 (90.3%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.2%) missing valuesMissing
좌표정보(Y) has 2 (3.2%) missing valuesMissing
제작취급품목내용 has 62 (100.0%) missing valuesMissing
시설면적 has 3 (4.8%) missing valuesMissing
조명시설조도 has 62 (100.0%) missing valuesMissing
노래방실수 has 62 (100.0%) missing valuesMissing
청소년실수 has 62 (100.0%) missing valuesMissing
비상계단여부 has 62 (100.0%) missing valuesMissing
비상구여부 has 62 (100.0%) missing valuesMissing
자동환기여부 has 62 (100.0%) missing valuesMissing
청소년실여부 has 62 (100.0%) missing valuesMissing
특수조명여부 has 62 (100.0%) missing valuesMissing
방음시설여부 has 62 (100.0%) missing valuesMissing
조명시설유무 has 62 (100.0%) missing valuesMissing
음향시설여부 has 62 (100.0%) missing valuesMissing
편의시설여부 has 62 (100.0%) missing valuesMissing
소방시설여부 has 62 (100.0%) missing valuesMissing
총게임기수 has 62 (100.0%) missing valuesMissing
기존게임업외업종명 has 62 (100.0%) missing valuesMissing
제공게임물명 has 62 (100.0%) missing valuesMissing
공연장형태구분명 has 62 (100.0%) missing valuesMissing
품목명 has 62 (100.0%) missing valuesMissing
최초등록시점 has 62 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
제작취급품목내용 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
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
시설면적 has 49 (79.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:40:08.389109
Analysis finished2024-05-11 06:40:09.188068
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
3050000
62 

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 62
100.0%

Length

2024-05-11T15:40:09.298303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:09.476647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 62
100.0%

관리번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T15:40:09.759277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1240
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

Unique62 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
1.6%
cdff1242012001000002 1
 
1.6%
cdff1242012007000001 1
 
1.6%
cdff1242011996000034 1
 
1.6%
cdff1242011996000035 1
 
1.6%
cdff1242011996000036 1
 
1.6%
cdff1242011997000001 1
 
1.6%
cdff1242011997000002 1
 
1.6%
cdff1242011997000003 1
 
1.6%
cdff1242011997000004 1
 
1.6%
Other values (52) 52
83.9%
2024-05-11T15:40:10.281433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 390
31.5%
1 196
15.8%
2 170
13.7%
F 124
 
10.0%
9 89
 
7.2%
4 70
 
5.6%
C 62
 
5.0%
D 62
 
5.0%
6 42
 
3.4%
3 17
 
1.4%
Other values (3) 18
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
80.0%
Uppercase Letter 248
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 390
39.3%
1 196
19.8%
2 170
17.1%
9 89
 
9.0%
4 70
 
7.1%
6 42
 
4.2%
3 17
 
1.7%
7 8
 
0.8%
5 7
 
0.7%
8 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 124
50.0%
C 62
25.0%
D 62
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 992
80.0%
Latin 248
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 390
39.3%
1 196
19.8%
2 170
17.1%
9 89
 
9.0%
4 70
 
7.1%
6 42
 
4.2%
3 17
 
1.7%
7 8
 
0.8%
5 7
 
0.7%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
F 124
50.0%
C 62
25.0%
D 62
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 390
31.5%
1 196
15.8%
2 170
13.7%
F 124
 
10.0%
9 89
 
7.2%
4 70
 
5.6%
C 62
 
5.0%
D 62
 
5.0%
6 42
 
3.4%
3 17
 
1.4%
Other values (3) 18
 
1.5%

인허가일자
Real number (ℝ)

Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19983396
Minimum19960801
Maximum20100819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T15:40:10.497609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960801
5-th percentile19960827
Q119960906
median19960916
Q320010698
95-th percentile20040288
Maximum20100819
Range140018
Interquartile range (IQR)49791.75

Descriptive statistics

Standard deviation32905.251
Coefficient of variation (CV)0.0016466296
Kurtosis1.6785041
Mean19983396
Median Absolute Deviation (MAD)89.5
Skewness1.4307776
Sum1.2389705 × 109
Variance1.0827555 × 109
MonotonicityIncreasing
2024-05-11T15:40:10.716051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
19960906 11
 
17.7%
19960827 3
 
4.8%
19960905 3
 
4.8%
19960910 3
 
4.8%
19960912 3
 
4.8%
19960904 2
 
3.2%
19960911 2
 
3.2%
19960801 1
 
1.6%
20021105 1
 
1.6%
20010921 1
 
1.6%
Other values (32) 32
51.6%
ValueCountFrequency (%)
19960801 1
 
1.6%
19960826 1
 
1.6%
19960827 3
 
4.8%
19960904 2
 
3.2%
19960905 3
 
4.8%
19960906 11
17.7%
19960910 3
 
4.8%
19960911 2
 
3.2%
19960912 3
 
4.8%
19960913 1
 
1.6%
ValueCountFrequency (%)
20100819 1
1.6%
20070406 1
1.6%
20050805 1
1.6%
20040813 1
1.6%
20030319 1
1.6%
20030121 1
1.6%
20021113 1
1.6%
20021105 1
1.6%
20021101 1
1.6%
20020520 1
1.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
3
42 
4
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 42
67.7%
4 20
32.3%

Length

2024-05-11T15:40:10.903996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:11.030514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
67.7%
4 20
32.3%

영업상태명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
폐업
42 
취소/말소/만료/정지/중지
20 

Length

Max length14
Median length2
Mean length5.8709677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
67.7%
취소/말소/만료/정지/중지 20
32.3%

Length

2024-05-11T15:40:11.197760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:11.342814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
67.7%
취소/말소/만료/정지/중지 20
32.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
3
42 
35
20 

Length

Max length2
Median length1
Mean length1.3225806
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 42
67.7%
35 20
32.3%

Length

2024-05-11T15:40:11.479396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:11.611061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
67.7%
35 20
32.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
폐업
42 
직권말소
20 

Length

Max length4
Median length2
Mean length2.6451613
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
67.7%
직권말소 20
32.3%

Length

2024-05-11T15:40:11.780095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:11.927243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
67.7%
직권말소 20
32.3%

폐업일자
Real number (ℝ)

Distinct42
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068879
Minimum19980722
Maximum20211110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T15:40:12.103488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980722
5-th percentile19990116
Q120013446
median20085723
Q320110117
95-th percentile20159787
Maximum20211110
Range230388
Interquartile range (IQR)96670.75

Descriptive statistics

Standard deviation58205.323
Coefficient of variation (CV)0.0029002778
Kurtosis-0.94339308
Mean20068879
Median Absolute Deviation (MAD)35082
Skewness0.074404197
Sum1.2442705 × 109
Variance3.3878596 × 109
MonotonicityNot monotonic
2024-05-11T15:40:12.296827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20110117 20
32.3%
19990514 2
 
3.2%
20211110 1
 
1.6%
20101105 1
 
1.6%
20000315 1
 
1.6%
20020525 1
 
1.6%
20020710 1
 
1.6%
20080731 1
 
1.6%
20090715 1
 
1.6%
20080331 1
 
1.6%
Other values (32) 32
51.6%
ValueCountFrequency (%)
19980722 1
1.6%
19981102 1
1.6%
19981219 1
1.6%
19990111 1
1.6%
19990218 1
1.6%
19990501 1
1.6%
19990514 2
3.2%
19990518 1
1.6%
20000221 1
1.6%
20000315 1
1.6%
ValueCountFrequency (%)
20211110 1
 
1.6%
20181204 1
 
1.6%
20170904 1
 
1.6%
20160812 1
 
1.6%
20140317 1
 
1.6%
20120808 1
 
1.6%
20120802 1
 
1.6%
20110525 1
 
1.6%
20110117 20
32.3%
20101105 1
 
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

전화번호
Text

MISSING 

Distinct56
Distinct (%)96.6%
Missing4
Missing (%)6.5%
Memory size628.0 B
2024-05-11T15:40:12.576695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.1551724
Min length7

Characters and Unicode

Total characters473
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

Unique54 ?
Unique (%)93.1%

Sample

1st row966-6341
2nd row2213-3493
3rd row925-1581
4th row924-9224
5th row922-8782
ValueCountFrequency (%)
959-9111 2
 
3.4%
965-1829 2
 
3.4%
2217-2954 1
 
1.7%
966-6363 1
 
1.7%
2248-5146 1
 
1.7%
964-0670 1
 
1.7%
926-8939 1
 
1.7%
966-5447 1
 
1.7%
969-0009 1
 
1.7%
244-2758 1
 
1.7%
Other values (46) 46
79.3%
2024-05-11T15:40:13.004611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 84
17.8%
2 63
13.3%
- 59
12.5%
6 59
12.5%
1 39
8.2%
4 38
8.0%
5 35
7.4%
7 28
 
5.9%
8 24
 
5.1%
3 23
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 414
87.5%
Dash Punctuation 59
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 84
20.3%
2 63
15.2%
6 59
14.3%
1 39
9.4%
4 38
9.2%
5 35
8.5%
7 28
 
6.8%
8 24
 
5.8%
3 23
 
5.6%
0 21
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 84
17.8%
2 63
13.3%
- 59
12.5%
6 59
12.5%
1 39
8.2%
4 38
8.0%
5 35
7.4%
7 28
 
5.9%
8 24
 
5.1%
3 23
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 84
17.8%
2 63
13.3%
- 59
12.5%
6 59
12.5%
1 39
8.2%
4 38
8.0%
5 35
7.4%
7 28
 
5.9%
8 24
 
5.1%
3 23
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)53.3%
Missing32
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean130846.57
Minimum130810
Maximum130881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T15:40:13.150948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130810
5-th percentile130812.7
Q1130831
median130850.5
Q3130861.5
95-th percentile130872
Maximum130881
Range71
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation19.767063
Coefficient of variation (CV)0.00015107055
Kurtosis-0.95163791
Mean130846.57
Median Absolute Deviation (MAD)19.5
Skewness-0.16252054
Sum3925397
Variance390.73678
MonotonicityNot monotonic
2024-05-11T15:40:13.296879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
130831 5
 
8.1%
130851 4
 
6.5%
130872 3
 
4.8%
130860 3
 
4.8%
130867 2
 
3.2%
130810 2
 
3.2%
130840 2
 
3.2%
130881 1
 
1.6%
130830 1
 
1.6%
130845 1
 
1.6%
Other values (6) 6
 
9.7%
(Missing) 32
51.6%
ValueCountFrequency (%)
130810 2
 
3.2%
130816 1
 
1.6%
130826 1
 
1.6%
130828 1
 
1.6%
130830 1
 
1.6%
130831 5
8.1%
130840 2
 
3.2%
130845 1
 
1.6%
130850 1
 
1.6%
130851 4
6.5%
ValueCountFrequency (%)
130881 1
 
1.6%
130872 3
4.8%
130870 1
 
1.6%
130867 2
3.2%
130862 1
 
1.6%
130860 3
4.8%
130851 4
6.5%
130850 1
 
1.6%
130845 1
 
1.6%
130840 2
3.2%

지번주소
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T15:40:13.610756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31.5
Mean length26.419355
Min length21

Characters and Unicode

Total characters1638
Distinct characters53
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

Unique60 ?
Unique (%)96.8%

Sample

1st row서울특별시 동대문구 휘경동 329 지하1층
2nd row서울특별시 동대문구 전농동 103-59번지 2층
3rd row서울특별시 동대문구 제기동 137-66번지 (4층)
4th row서울특별시 동대문구 제기동 137-19번지 (2층)
5th row서울특별시 동대문구 제기동 137-94번지
ValueCountFrequency (%)
서울특별시 62
21.2%
동대문구 62
21.2%
3층 15
 
5.1%
이문동 14
 
4.8%
회기동 12
 
4.1%
지하1층 11
 
3.8%
전농동 9
 
3.1%
청량리동 9
 
3.1%
2층 8
 
2.7%
제기동 6
 
2.1%
Other values (71) 84
28.8%
2024-05-11T15:40:14.108160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
17.9%
동 127
 
7.8%
문 76
 
4.6%
지 72
 
4.4%
서 62
 
3.8%
특 62
 
3.8%
별 62
 
3.8%
시 62
 
3.8%
대 62
 
3.8%
구 62
 
3.8%
Other values (43) 698
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 950
58.0%
Decimal Number 313
 
19.1%
Space Separator 293
 
17.9%
Dash Punctuation 58
 
3.5%
Open Punctuation 11
 
0.7%
Close Punctuation 11
 
0.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 127
13.4%
문 76
 
8.0%
지 72
 
7.6%
서 62
 
6.5%
특 62
 
6.5%
별 62
 
6.5%
시 62
 
6.5%
대 62
 
6.5%
구 62
 
6.5%
울 62
 
6.5%
Other values (27) 241
25.4%
Decimal Number
ValueCountFrequency (%)
3 58
18.5%
1 49
15.7%
2 46
14.7%
4 33
10.5%
5 25
8.0%
7 24
7.7%
0 21
 
6.7%
6 21
 
6.7%
9 19
 
6.1%
8 17
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 950
58.0%
Common 686
41.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 127
13.4%
문 76
 
8.0%
지 72
 
7.6%
서 62
 
6.5%
특 62
 
6.5%
별 62
 
6.5%
시 62
 
6.5%
대 62
 
6.5%
구 62
 
6.5%
울 62
 
6.5%
Other values (27) 241
25.4%
Common
ValueCountFrequency (%)
293
42.7%
3 58
 
8.5%
- 58
 
8.5%
1 49
 
7.1%
2 46
 
6.7%
4 33
 
4.8%
5 25
 
3.6%
7 24
 
3.5%
0 21
 
3.1%
6 21
 
3.1%
Other values (4) 58
 
8.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 950
58.0%
ASCII 688
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
42.6%
3 58
 
8.4%
- 58
 
8.4%
1 49
 
7.1%
2 46
 
6.7%
4 33
 
4.8%
5 25
 
3.6%
7 24
 
3.5%
0 21
 
3.1%
6 21
 
3.1%
Other values (6) 60
 
8.7%
Hangul
ValueCountFrequency (%)
동 127
13.4%
문 76
 
8.0%
지 72
 
7.6%
서 62
 
6.5%
특 62
 
6.5%
별 62
 
6.5%
시 62
 
6.5%
대 62
 
6.5%
구 62
 
6.5%
울 62
 
6.5%
Other values (27) 241
25.4%

도로명주소
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing56
Missing (%)90.3%
Memory size628.0 B
2024-05-11T15:40:14.330369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27.5
Mean length27.333333
Min length25

Characters and Unicode

Total characters164
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row서울특별시 동대문구 회기로28길 8 (휘경동)
2nd row서울특별시 동대문구 경희대로1길 10 (회기동)
3rd row서울특별시 동대문구 회기로21길 34, 2층 (회기동)
4th row서울특별시 동대문구 왕산로 226, 3층 (전농동)
5th row서울특별시 동대문구 휘경로 10, 3층 (이문동)
ValueCountFrequency (%)
서울특별시 6
17.6%
동대문구 6
17.6%
휘경동 2
 
5.9%
10 2
 
5.9%
회기동 2
 
5.9%
3층 2
 
5.9%
226 1
 
2.9%
188 1
 
2.9%
회기로 1
 
2.9%
이문동 1
 
2.9%
Other values (10) 10
29.4%
2024-05-11T15:40:14.702482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
17.1%
동 12
 
7.3%
대 7
 
4.3%
문 7
 
4.3%
서 6
 
3.7%
구 6
 
3.7%
) 6
 
3.7%
울 6
 
3.7%
로 6
 
3.7%
( 6
 
3.7%
Other values (23) 74
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
59.8%
Space Separator 28
 
17.1%
Decimal Number 22
 
13.4%
Close Punctuation 6
 
3.7%
Open Punctuation 6
 
3.7%
Other Punctuation 4
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
 
12.2%
대 7
 
7.1%
문 7
 
7.1%
서 6
 
6.1%
구 6
 
6.1%
울 6
 
6.1%
로 6
 
6.1%
별 6
 
6.1%
시 6
 
6.1%
특 6
 
6.1%
Other values (12) 30
30.6%
Decimal Number
ValueCountFrequency (%)
1 5
22.7%
2 5
22.7%
8 4
18.2%
3 3
13.6%
4 2
 
9.1%
0 2
 
9.1%
6 1
 
4.5%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
59.8%
Common 66
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12
 
12.2%
대 7
 
7.1%
문 7
 
7.1%
서 6
 
6.1%
구 6
 
6.1%
울 6
 
6.1%
로 6
 
6.1%
별 6
 
6.1%
시 6
 
6.1%
특 6
 
6.1%
Other values (12) 30
30.6%
Common
ValueCountFrequency (%)
28
42.4%
) 6
 
9.1%
( 6
 
9.1%
1 5
 
7.6%
2 5
 
7.6%
8 4
 
6.1%
, 4
 
6.1%
3 3
 
4.5%
4 2
 
3.0%
0 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
59.8%
ASCII 66
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
42.4%
) 6
 
9.1%
( 6
 
9.1%
1 5
 
7.6%
2 5
 
7.6%
8 4
 
6.1%
, 4
 
6.1%
3 3
 
4.5%
4 2
 
3.0%
0 2
 
3.0%
Hangul
ValueCountFrequency (%)
동 12
 
12.2%
대 7
 
7.1%
문 7
 
7.1%
서 6
 
6.1%
구 6
 
6.1%
울 6
 
6.1%
로 6
 
6.1%
별 6
 
6.1%
시 6
 
6.1%
특 6
 
6.1%
Other values (12) 30
30.6%

도로명우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
56 
2446
 
2
2454
 
1
2453
 
1
2554
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique4 ?
Unique (%)6.5%

Sample

1st row2446
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
90.3%
2446 2
 
3.2%
2454 1
 
1.6%
2453 1
 
1.6%
2554 1
 
1.6%
2440 1
 
1.6%

Length

2024-05-11T15:40:14.875803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:15.021428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
90.3%
2446 2
 
3.2%
2454 1
 
1.6%
2453 1
 
1.6%
2554 1
 
1.6%
2440 1
 
1.6%

사업장명
Text

Distinct57
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T15:40:15.365387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.9354839
Min length2

Characters and Unicode

Total characters430
Distinct characters114
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

Unique52 ?
Unique (%)83.9%

Sample

1st row21세기비디오감상실
2nd row365일비디오방
3rd row고려비디오방
4th row투투비디오감상실
5th row엘리제비디오감상실
ValueCountFrequency (%)
영화공간 2
 
3.1%
시네마비디오방 2
 
3.1%
그린비디오방 2
 
3.1%
썬비디오방 2
 
3.1%
우리비디오방 2
 
3.1%
비디오감상실 1
 
1.5%
큐빅비디오영상실 1
 
1.5%
골든비디오감상실 1
 
1.5%
보고또보고비디오방 1
 
1.5%
영화세상비디오방 1
 
1.5%
Other values (50) 50
76.9%
2024-05-11T15:40:15.973803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 48
 
11.2%
디 48
 
11.2%
오 47
 
10.9%
방 34
 
7.9%
D 18
 
4.2%
상 15
 
3.5%
실 13
 
3.0%
감 12
 
2.8%
영 10
 
2.3%
V 9
 
2.1%
Other values (104) 176
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
89.8%
Uppercase Letter 30
 
7.0%
Decimal Number 7
 
1.6%
Lowercase Letter 4
 
0.9%
Space Separator 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 48
 
12.4%
디 48
 
12.4%
오 47
 
12.2%
방 34
 
8.8%
상 15
 
3.9%
실 13
 
3.4%
감 12
 
3.1%
영 10
 
2.6%
화 8
 
2.1%
네 8
 
2.1%
Other values (88) 143
37.0%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 1
14.3%
4 1
14.3%
5 1
14.3%
6 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 18
60.0%
V 9
30.0%
X 1
 
3.3%
M 1
 
3.3%
C 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
u 1
25.0%
l 1
25.0%
p 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
89.8%
Latin 34
 
7.9%
Common 10
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 48
 
12.4%
디 48
 
12.4%
오 47
 
12.2%
방 34
 
8.8%
상 15
 
3.9%
실 13
 
3.4%
감 12
 
3.1%
영 10
 
2.6%
화 8
 
2.1%
네 8
 
2.1%
Other values (88) 143
37.0%
Latin
ValueCountFrequency (%)
D 18
52.9%
V 9
26.5%
X 1
 
2.9%
M 1
 
2.9%
C 1
 
2.9%
s 1
 
2.9%
u 1
 
2.9%
l 1
 
2.9%
p 1
 
2.9%
Common
ValueCountFrequency (%)
3
30.0%
2 2
20.0%
1 1
 
10.0%
4 1
 
10.0%
5 1
 
10.0%
6 1
 
10.0%
3 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
89.8%
ASCII 44
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 48
 
12.4%
디 48
 
12.4%
오 47
 
12.2%
방 34
 
8.8%
상 15
 
3.9%
실 13
 
3.4%
감 12
 
3.1%
영 10
 
2.6%
화 8
 
2.1%
네 8
 
2.1%
Other values (88) 143
37.0%
ASCII
ValueCountFrequency (%)
D 18
40.9%
V 9
20.5%
3
 
6.8%
2 2
 
4.5%
X 1
 
2.3%
1 1
 
2.3%
4 1
 
2.3%
M 1
 
2.3%
C 1
 
2.3%
s 1
 
2.3%
Other values (6) 6
 
13.6%

최종수정일자
Date

Distinct38
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2003-04-18 15:38:21
Maximum2021-11-29 14:50:04
2024-05-11T15:40:16.157858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:16.355260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
I
57 
U
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 57
91.9%
U 5
 
8.1%

Length

2024-05-11T15:40:16.532246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:16.664538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 57
91.9%
u 5
 
8.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
2018-08-31 23:59:59.0
57 
2020-09-04 02:40:00.0
 
3
2021-12-01 02:40:00.0
 
1
2018-12-06 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row2021-12-01 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 57
91.9%
2020-09-04 02:40:00.0 3
 
4.8%
2021-12-01 02:40:00.0 1
 
1.6%
2018-12-06 02:40:00.0 1
 
1.6%

Length

2024-05-11T15:40:16.813697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:16.996784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 57
46.0%
23:59:59.0 57
46.0%
02:40:00.0 5
 
4.0%
2020-09-04 3
 
2.4%
2021-12-01 1
 
0.8%
2018-12-06 1
 
0.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)91.7%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean204449.2
Minimum202034.73
Maximum206255.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T15:40:17.200002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202034.73
5-th percentile202869.11
Q1204000.08
median204588.01
Q3205102.07
95-th percentile205745.99
Maximum206255.33
Range4220.5933
Interquartile range (IQR)1101.994

Descriptive statistics

Standard deviation933.52329
Coefficient of variation (CV)0.0045660403
Kurtosis0.66632596
Mean204449.2
Median Absolute Deviation (MAD)584.09172
Skewness-0.71883321
Sum12266952
Variance871465.73
MonotonicityNot monotonic
2024-05-11T15:40:17.443222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204684.107259385 2
 
3.2%
205178.049288853 2
 
3.2%
204000.075804996 2
 
3.2%
205403.444759807 2
 
3.2%
205458.909855227 2
 
3.2%
204901.710032754 1
 
1.6%
204622.16144616 1
 
1.6%
203062.866755101 1
 
1.6%
204960.319549724 1
 
1.6%
205096.03189952 1
 
1.6%
Other values (45) 45
72.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
202034.733564967 1
1.6%
202045.581261433 1
1.6%
202113.226260878 1
1.6%
202908.8949696 1
1.6%
202959.047374911 1
1.6%
203013.946282056 1
1.6%
203046.002873607 1
1.6%
203062.866755101 1
1.6%
203704.207020897 1
1.6%
203729.036122627 1
1.6%
ValueCountFrequency (%)
206255.326876991 1
1.6%
206247.056427436 1
1.6%
205746.038399482 1
1.6%
205745.991984738 1
1.6%
205458.909855227 2
3.2%
205403.444759807 2
3.2%
205383.086858565 1
1.6%
205353.624497874 1
1.6%
205320.214817086 1
1.6%
205244.032859825 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)91.7%
Missing2
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean453818.11
Minimum451118.48
Maximum455649.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T15:40:17.663699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451118.48
5-th percentile452254.73
Q1453207.21
median454000.7
Q3454469.99
95-th percentile454846.92
Maximum455649.92
Range4531.4449
Interquartile range (IQR)1262.7837

Descriptive statistics

Standard deviation871.95293
Coefficient of variation (CV)0.001921371
Kurtosis0.33791695
Mean453818.11
Median Absolute Deviation (MAD)698.98728
Skewness-0.60365353
Sum27229086
Variance760301.91
MonotonicityNot monotonic
2024-05-11T15:40:17.891666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454338.512092673 2
 
3.2%
454729.030714619 2
 
3.2%
453199.084464879 2
 
3.2%
454846.056612821 2
 
3.2%
454802.88636095 2
 
3.2%
454214.134182295 1
 
1.6%
454511.36788533 1
 
1.6%
454049.331755981 1
 
1.6%
454162.209821034 1
 
1.6%
452842.927086522 1
 
1.6%
Other values (45) 45
72.6%
(Missing) 2
 
3.2%
ValueCountFrequency (%)
451118.479199016 1
1.6%
452075.167597061 1
1.6%
452142.790091635 1
1.6%
452260.622710941 1
1.6%
452664.087470145 1
1.6%
452672.881757271 1
1.6%
452758.459403597 1
1.6%
452842.927086522 1
1.6%
452887.352617116 1
1.6%
453045.097960344 1
1.6%
ValueCountFrequency (%)
455649.9241057 1
1.6%
454857.91144375 1
1.6%
454850.718478062 1
1.6%
454846.720574944 1
1.6%
454846.056612821 2
3.2%
454828.60613567 1
1.6%
454802.88636095 2
3.2%
454729.030714619 2
3.2%
454701.85689102 1
1.6%
454518.319371476 1
1.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
비디오물감상실업
62 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 62
100.0%

Length

2024-05-11T15:40:18.135860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:18.305729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 62
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
33 
유통관련업
29 

Length

Max length5
Median length4
Mean length4.4677419
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
53.2%
유통관련업 29
46.8%

Length

2024-05-11T15:40:18.502743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:18.702149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
53.2%
유통관련업 29
46.8%

총층수
Categorical

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
30 
<NA>
25 
6
 
3
5
 
3
4
 
1

Length

Max length4
Median length1
Mean length2.2096774
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
48.4%
<NA> 25
40.3%
6 3
 
4.8%
5 3
 
4.8%
4 1
 
1.6%

Length

2024-05-11T15:40:19.377401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:19.640396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
48.4%
na 25
40.3%
6 3
 
4.8%
5 3
 
4.8%
4 1
 
1.6%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
56 
기타
 
4
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
90.3%
기타 4
 
6.5%
학교정화(상대) 2
 
3.2%

Length

2024-05-11T15:40:19.926883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:20.123590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
90.3%
기타 4
 
6.5%
학교정화(상대 2
 
3.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.6%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean45.477797
Minimum0
Maximum646.39
Zeros49
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T15:40:20.308650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile225.721
Maximum646.39
Range646.39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation128.95514
Coefficient of variation (CV)2.8355626
Kurtosis14.453772
Mean45.477797
Median Absolute Deviation (MAD)0
Skewness3.6775357
Sum2683.19
Variance16629.428
MonotonicityNot monotonic
2024-05-11T15:40:20.561010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 49
79.0%
220.3 1
 
1.6%
646.39 1
 
1.6%
633.12 1
 
1.6%
115.5 1
 
1.6%
132.0 1
 
1.6%
198.0 1
 
1.6%
149.76 1
 
1.6%
274.51 1
 
1.6%
122.08 1
 
1.6%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
0.0 49
79.0%
115.5 1
 
1.6%
122.08 1
 
1.6%
132.0 1
 
1.6%
149.76 1
 
1.6%
191.53 1
 
1.6%
198.0 1
 
1.6%
220.3 1
 
1.6%
274.51 1
 
1.6%
633.12 1
 
1.6%
ValueCountFrequency (%)
646.39 1
1.6%
633.12 1
1.6%
274.51 1
1.6%
220.3 1
1.6%
198.0 1
1.6%
191.53 1
1.6%
149.76 1
1.6%
132.0 1
1.6%
122.08 1
1.6%
115.5 1
1.6%

지상층수
Categorical

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
29 
<NA>
25 
4
4 
5
3 
3
 
1

Length

Max length4
Median length1
Mean length2.2096774
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
46.8%
<NA> 25
40.3%
4 4
 
6.5%
5 3
 
4.8%
3 1
 
1.6%

Length

2024-05-11T15:40:20.752136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:20.972346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
46.8%
na 25
40.3%
4 4
 
6.5%
5 3
 
4.8%
3 1
 
1.6%

지하층수
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
30 
<NA>
25 
1
7 

Length

Max length4
Median length1
Mean length2.2096774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
48.4%
<NA> 25
40.3%
1 7
 
11.3%

Length

2024-05-11T15:40:21.171593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:21.356014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
48.4%
na 25
40.3%
1 7
 
11.3%

건물용도명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
50 
근린생활시설
12 

Length

Max length6
Median length4
Mean length4.3870968
Min length4

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> 50
80.6%
근린생활시설 12
 
19.4%

Length

2024-05-11T15:40:21.549667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:21.740777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
80.6%
근린생활시설 12
 
19.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
1
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
1 1
 
1.6%

Length

2024-05-11T15:40:21.937906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:22.119617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
1 1
 
1.6%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비디오재생기명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
56 
자동
6 

Length

Max length4
Median length4
Mean length3.8064516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
90.3%
자동 6
 
9.7%

Length

2024-05-11T15:40:22.297580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:22.480483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
90.3%
자동 6
 
9.7%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
53 
근린상업지역
6 
공업지역
 
3

Length

Max length6
Median length4
Mean length4.1935484
Min length4

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> 53
85.5%
근린상업지역 6
 
9.7%
공업지역 3
 
4.8%

Length

2024-05-11T15:40:22.663524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:22.863804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
85.5%
근린상업지역 6
 
9.7%
공업지역 3
 
4.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF124201199600000119960801<NA>3폐업3폐업20211110<NA><NA><NA>966-6341<NA><NA>서울특별시 동대문구 휘경동 329 지하1층서울특별시 동대문구 회기로28길 8 (휘경동)244621세기비디오감상실2021-11-29 14:50:04U2021-12-01 02:40:00.0<NA>204869.322552454131.367656비디오물감상실업<NA><NA><NA><NA>0.0<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>
13050000CDFF124201199600000219960826<NA>3폐업3폐업20061013<NA><NA><NA>2213-3493<NA>130851서울특별시 동대문구 전농동 103-59번지 2층<NA><NA>365일비디오방2008-04-17 20:29:17I2018-08-31 23:59:59.0<NA>204582.289401453680.153797비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23050000CDFF124201199600000319960827<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>925-1581<NA><NA>서울특별시 동대문구 제기동 137-66번지 (4층)<NA><NA>고려비디오방2011-01-17 15:11:37I2018-08-31 23:59:59.0<NA>203013.946282453986.892606비디오물감상실업<NA>0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFF124201199600000419960827<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>924-9224<NA><NA>서울특별시 동대문구 제기동 137-19번지 (2층)<NA><NA>투투비디오감상실2011-01-17 15:12:11I2018-08-31 23:59:59.0<NA>203062.866755454049.331756비디오물감상실업<NA>0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43050000CDFF124201199600000519960827<NA>3폐업3폐업20021230<NA><NA><NA>922-8782<NA>130860서울특별시 동대문구 제기동 137-94번지<NA><NA>엘리제비디오감상실2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>202959.047375453921.524126비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFF124201199600000619960904<NA>3폐업3폐업20010331<NA><NA><NA>926-4915<NA>130860서울특별시 동대문구 제기동 137-140번지 지하1층<NA><NA>크림슨비디오감상실2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>202908.89497453813.199718비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFF124201199600000719960904<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>966-2496<NA><NA>서울특별시 동대문구 휘경동 321-7번지<NA><NA>동일비디오2011-01-17 15:12:48I2018-08-31 23:59:59.0<NA>204901.710033454214.134182비디오물감상실업<NA><NA><NA><NA>0.0<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>
73050000CDFF124201199600000819960905<NA>3폐업3폐업20010712<NA><NA><NA>965-1829<NA>130831서울특별시 동대문구 이문동 327-8번지 지하1층<NA><NA>영화마을비디오감상실2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>205178.049289454729.030715비디오물감상실업유통관련업<NA><NA><NA>0.0<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>
83050000CDFF124201199600000919960905<NA>3폐업3폐업20021123<NA><NA><NA>968-9566<NA>130881서울특별시 동대문구 회기동 346-7번지 3층<NA><NA>우리비디오방2003-04-18 15:38:21I2018-08-31 23:59:59.0<NA>204871.298295454223.908111비디오물감상실업유통관련업0<NA><NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
93050000CDFF124201199600001019960905<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>967-1212<NA><NA>서울특별시 동대문구 회기동 42-5번지 (2층)<NA><NA>무비젠스크린극장2011-01-17 15:13:35I2018-08-31 23:59:59.0<NA>204532.19171454518.319371비디오물감상실업<NA>0<NA><NA>0.000<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
523050000CDFF124201200200000320020520<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>959-8950<NA><NA>서울특별시 동대문구 청량리동 258-0번지 4층<NA><NA>느낌표비디오방2011-01-17 15:20:20I2018-08-31 23:59:59.0<NA>204000.075805453199.084465비디오물감상실업<NA>0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533050000CDFF124201200200000420021101<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>957-7445<NA><NA>서울특별시 동대문구 전농동 597-31번지 3층<NA><NA>짱비디오방2011-01-17 15:21:05I2018-08-31 23:59:59.0<NA>204172.576435453303.882335비디오물감상실업<NA>0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543050000CDFF124201200200000520021105<NA>3폐업3폐업20060306<NA><NA><NA>962-7029<NA>130851서울특별시 동대문구 전농동 597-38번지 3층<NA><NA>하이테크비디오감상실2008-04-17 20:35:52I2018-08-31 23:59:59.0<NA>204149.452746453280.132708비디오물감상실업유통관련업6기타<NA>115.551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공업지역
553050000CDFF124201200200000620021113<NA>3폐업3폐업20060616<NA><NA><NA>965-1829<NA><NA>서울특별시 동대문구 이문동 327-8번지 지하1층<NA><NA>이글루DVD방2009-04-28 15:16:21I2018-08-31 23:59:59.0<NA>205178.049289454729.030715비디오물감상실업<NA>0기타<NA>132.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563050000CDFF124201200300000120030121<NA>4취소/말소/만료/정지/중지35직권말소20110117<NA><NA><NA>968-1020<NA><NA>서울특별시 동대문구 회기동 60-42번지 3층<NA><NA>DVDplus영화관2011-01-17 15:21:32I2018-08-31 23:59:59.0<NA>204502.095843454350.155504비디오물감상실업<NA>4<NA><NA>198.031근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
573050000CDFF124201200300000220030319<NA>3폐업3폐업20140317<NA><NA><NA>967-1635<NA><NA>서울특별시 동대문구 전농동 597-41 (3층)서울특별시 동대문구 왕산로 226, 3층 (전농동)2554씨네맥스DVD영화관2020-09-02 10:01:21U2020-09-04 02:40:00.0<NA>204138.950469453269.018798비디오물감상실업<NA>5기타<NA>149.7641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공업지역
583050000CDFF124201200400000120040813<NA>3폐업3폐업20110525<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 249번지 지상5층<NA><NA>청DVD영화관2011-05-26 08:56:57I2018-08-31 23:59:59.0<NA>204007.767059453209.916468비디오물감상실업<NA><NA><NA><NA>274.51<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>
593050000CDFF124201200500000120050805<NA>3폐업3폐업20160812<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 288-39 3층서울특별시 동대문구 휘경로 10, 3층 (이문동)2440씨네파크 DVD방2020-09-02 17:33:20U2020-09-04 02:40:00.0<NA>205320.214817454846.720575비디오물감상실업<NA><NA><NA><NA>122.08<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603050000CDFF124201200700000120070406<NA>3폐업3폐업20071220<NA><NA><NA><NA><NA>130816서울특별시 동대문구 용두동 9-2번지 2층<NA><NA>지포2008-04-17 20:37:37I2018-08-31 23:59:59.0<NA>203729.036123452887.352617비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613050000CDFF124201201000000120100819<NA>3폐업3폐업20181204<NA><NA><NA>070-8171-1008<NA><NA>서울특별시 동대문구 휘경동 319-13번지 (4층)서울특별시 동대문구 회기로 188, 4층 (휘경동)2446앤스DVD2018-12-04 17:41:21U2018-12-06 02:40:00.0<NA>204948.158924454162.585737비디오물감상실업<NA><NA><NA><NA>191.53<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>