Overview

Dataset statistics

Number of variables56
Number of observations94
Missing cells2605
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.1 KiB
Average record size in memory491.4 B

Variable types

Categorical17
Text6
DateTime4
Unsupported25
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17627/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (89.3%)Imbalance
영업상태코드 is highly imbalanced (52.7%)Imbalance
영업상태명 is highly imbalanced (52.7%)Imbalance
상세영업상태코드 is highly imbalanced (52.7%)Imbalance
상세영업상태명 is highly imbalanced (52.7%)Imbalance
총층수 is highly imbalanced (79.6%)Imbalance
시설면적 is highly imbalanced (79.6%)Imbalance
지상층수 is highly imbalanced (79.6%)Imbalance
지하층수 is highly imbalanced (79.6%)Imbalance
통로너비 is highly imbalanced (79.6%)Imbalance
조명시설조도 is highly imbalanced (79.6%)Imbalance
노래방실수 is highly imbalanced (79.6%)Imbalance
청소년실수 is highly imbalanced (79.6%)Imbalance
총게임기수 is highly imbalanced (79.6%)Imbalance
폐업일자 has 77 (81.9%) missing valuesMissing
휴업시작일자 has 94 (100.0%) missing valuesMissing
휴업종료일자 has 94 (100.0%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
전화번호 has 41 (43.6%) missing valuesMissing
소재지면적 has 94 (100.0%) missing valuesMissing
소재지우편번호 has 79 (84.0%) missing valuesMissing
도로명주소 has 1 (1.1%) missing valuesMissing
도로명우편번호 has 27 (28.7%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
문화사업자구분명 has 94 (100.0%) missing valuesMissing
주변환경명 has 94 (100.0%) missing valuesMissing
제작취급품목내용 has 94 (100.0%) missing valuesMissing
건물용도명 has 94 (100.0%) missing valuesMissing
비상계단여부 has 94 (100.0%) missing valuesMissing
비상구여부 has 94 (100.0%) missing valuesMissing
자동환기여부 has 94 (100.0%) missing valuesMissing
청소년실여부 has 94 (100.0%) missing valuesMissing
특수조명여부 has 94 (100.0%) missing valuesMissing
방음시설여부 has 94 (100.0%) missing valuesMissing
비디오재생기명 has 94 (100.0%) missing valuesMissing
조명시설유무 has 94 (100.0%) missing valuesMissing
음향시설여부 has 94 (100.0%) missing valuesMissing
편의시설여부 has 94 (100.0%) missing valuesMissing
소방시설여부 has 94 (100.0%) missing valuesMissing
기존게임업외업종명 has 94 (100.0%) missing valuesMissing
제공게임물명 has 94 (100.0%) missing valuesMissing
공연장형태구분명 has 94 (100.0%) missing valuesMissing
품목명 has 94 (100.0%) missing valuesMissing
최초등록시점 has 28 (29.8%) missing valuesMissing
지역구분명 has 94 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 03:27:03.006589
Analysis finished2024-05-11 03:27:04.985255
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
3000000
94 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 94
100.0%

Length

2024-05-11T03:27:05.319249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:05.709017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 94
100.0%

관리번호
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T03:27:06.247710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1880
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

Unique94 ?
Unique (%)100.0%

Sample

1st rowCDFF5211031999000001
2nd rowCDFF5211031999000002
3rd rowCDFF5211031999000003
4th rowCDFF5211031999000004
5th rowCDFF5211031999000005
ValueCountFrequency (%)
cdff5211031999000001 1
 
1.1%
cdff5211032018000005 1
 
1.1%
cdff5211032020000002 1
 
1.1%
cdff5211032020000001 1
 
1.1%
cdff5211032019000006 1
 
1.1%
cdff5211032019000005 1
 
1.1%
cdff5211032019000004 1
 
1.1%
cdff5211032019000002 1
 
1.1%
cdff5211032019000001 1
 
1.1%
cdff5211032018000009 1
 
1.1%
Other values (84) 84
89.4%
2024-05-11T03:27:07.167647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 679
36.1%
1 264
 
14.0%
2 234
 
12.4%
F 188
 
10.0%
3 115
 
6.1%
5 111
 
5.9%
C 94
 
5.0%
D 94
 
5.0%
9 36
 
1.9%
4 20
 
1.1%
Other values (3) 45
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1504
80.0%
Uppercase Letter 376
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 679
45.1%
1 264
 
17.6%
2 234
 
15.6%
3 115
 
7.6%
5 111
 
7.4%
9 36
 
2.4%
4 20
 
1.3%
6 17
 
1.1%
8 16
 
1.1%
7 12
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1504
80.0%
Latin 376
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 679
45.1%
1 264
 
17.6%
2 234
 
15.6%
3 115
 
7.6%
5 111
 
7.4%
9 36
 
2.4%
4 20
 
1.3%
6 17
 
1.1%
8 16
 
1.1%
7 12
 
0.8%
Latin
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 679
36.1%
1 264
 
14.0%
2 234
 
12.4%
F 188
 
10.0%
3 115
 
6.1%
5 111
 
5.9%
C 94
 
5.0%
D 94
 
5.0%
9 36
 
1.9%
4 20
 
1.1%
Other values (3) 45
 
2.4%

인허가일자
Date

Distinct89
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum1999-07-02 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T03:27:07.574184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:27:07.992106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
92 
20230113
 
1
20141230
 
1

Length

Max length8
Median length4
Mean length4.0851064
Min length4

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
97.9%
20230113 1
 
1.1%
20141230 1
 
1.1%

Length

2024-05-11T03:27:08.484286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:08.826757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
97.9%
20230113 1
 
1.1%
20141230 1
 
1.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
1
75 
3
14 
5
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 75
79.8%
3 14
 
14.9%
5 3
 
3.2%
4 2
 
2.1%

Length

2024-05-11T03:27:09.161122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:09.479734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
79.8%
3 14
 
14.9%
5 3
 
3.2%
4 2
 
2.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업/정상
75 
폐업
14 
제외/삭제/전출
 
3
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.8404255
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 75
79.8%
폐업 14
 
14.9%
제외/삭제/전출 3
 
3.2%
취소/말소/만료/정지/중지 2
 
2.1%

Length

2024-05-11T03:27:09.933653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:10.393924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 75
79.8%
폐업 14
 
14.9%
제외/삭제/전출 3
 
3.2%
취소/말소/만료/정지/중지 2
 
2.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
13
75 
3
14 
15
 
3
32
 
2

Length

Max length2
Median length2
Mean length1.8510638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 75
79.8%
3 14
 
14.9%
15 3
 
3.2%
32 2
 
2.1%

Length

2024-05-11T03:27:10.773495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:11.062196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 75
79.8%
3 14
 
14.9%
15 3
 
3.2%
32 2
 
2.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업중
75 
폐업
14 
전출
 
3
신고취소
 
2

Length

Max length4
Median length3
Mean length2.8404255
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 75
79.8%
폐업 14
 
14.9%
전출 3
 
3.2%
신고취소 2
 
2.1%

Length

2024-05-11T03:27:11.437099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:11.785602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 75
79.8%
폐업 14
 
14.9%
전출 3
 
3.2%
신고취소 2
 
2.1%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing77
Missing (%)81.9%
Memory size884.0 B
Minimum2012-05-03 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T03:27:12.106419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:27:12.513824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)94.3%
Missing41
Missing (%)43.6%
Memory size884.0 B
2024-05-11T03:27:13.142497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.7924528
Min length7

Characters and Unicode

Total characters519
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)88.7%

Sample

1st row745-4231
2nd row745-4248
3rd row744-4248
4th row744-4248
5th row747-0655
ValueCountFrequency (%)
02-736-8898 2
 
3.8%
744-4248 2
 
3.8%
732-1895 2
 
3.8%
02-2155-5145 1
 
1.9%
02-3672-0181 1
 
1.9%
02-738-8558 1
 
1.9%
02-984-7567 1
 
1.9%
745-4231 1
 
1.9%
00-308-321-0058 1
 
1.9%
02-3477-9923 1
 
1.9%
Other values (40) 40
75.5%
2024-05-11T03:27:14.416054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72
13.9%
- 69
13.3%
2 66
12.7%
7 63
12.1%
3 54
10.4%
4 44
8.5%
5 36
6.9%
8 34
6.6%
1 34
6.6%
6 25
 
4.8%
Other values (2) 22
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 449
86.5%
Dash Punctuation 69
 
13.3%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
16.0%
2 66
14.7%
7 63
14.0%
3 54
12.0%
4 44
9.8%
5 36
8.0%
8 34
7.6%
1 34
7.6%
6 25
 
5.6%
9 21
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72
13.9%
- 69
13.3%
2 66
12.7%
7 63
12.1%
3 54
10.4%
4 44
8.5%
5 36
6.9%
8 34
6.6%
1 34
6.6%
6 25
 
4.8%
Other values (2) 22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72
13.9%
- 69
13.3%
2 66
12.7%
7 63
12.1%
3 54
10.4%
4 44
8.5%
5 36
6.9%
8 34
6.6%
1 34
6.6%
6 25
 
4.8%
Other values (2) 22
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing79
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean110375.93
Minimum110040
Maximum110848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T03:27:14.927621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110040
5-th percentile110040
Q1110203
median110350
Q3110450
95-th percentile110816.5
Maximum110848
Range808
Interquartile range (IQR)247

Descriptive statistics

Standard deviation267.84123
Coefficient of variation (CV)0.0024266271
Kurtosis-0.46450598
Mean110375.93
Median Absolute Deviation (MAD)160
Skewness0.59312479
Sum1655639
Variance71738.924
MonotonicityNot monotonic
2024-05-11T03:27:15.510228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
110350 3
 
3.2%
110040 2
 
2.1%
110320 1
 
1.1%
110062 1
 
1.1%
110390 1
 
1.1%
110280 1
 
1.1%
110848 1
 
1.1%
110510 1
 
1.1%
110803 1
 
1.1%
110126 1
 
1.1%
Other values (2) 2
 
2.1%
(Missing) 79
84.0%
ValueCountFrequency (%)
110040 2
2.1%
110062 1
 
1.1%
110126 1
 
1.1%
110280 1
 
1.1%
110320 1
 
1.1%
110350 3
3.2%
110370 1
 
1.1%
110390 1
 
1.1%
110510 1
 
1.1%
110800 1
 
1.1%
ValueCountFrequency (%)
110848 1
 
1.1%
110803 1
 
1.1%
110800 1
 
1.1%
110510 1
 
1.1%
110390 1
 
1.1%
110370 1
 
1.1%
110350 3
3.2%
110320 1
 
1.1%
110280 1
 
1.1%
110126 1
 
1.1%

지번주소
Text

Distinct86
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T03:27:16.604882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length25.351064
Min length16

Characters and Unicode

Total characters2383
Distinct characters164
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

Unique79 ?
Unique (%)84.0%

Sample

1st row서울특별시 종로구 낙원동 ***-*번지
2nd row서울특별시 종로구 신문로*가 *-***번지 신영빌딩 *층
3rd row서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호
4th row서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호
5th row서울특별시 종로구 봉익동 **번지
ValueCountFrequency (%)
서울특별시 94
19.7%
종로구 94
19.7%
번지 53
 
11.1%
37
 
7.8%
호 17
 
3.6%
층 14
 
2.9%
낙원동 7
 
1.5%
내수동 7
 
1.5%
명륜*가 7
 
1.5%
통의동 6
 
1.3%
Other values (94) 141
29.6%
2024-05-11T03:27:18.531403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
438
18.4%
* 389
16.3%
로 105
 
4.4%
구 98
 
4.1%
서 97
 
4.1%
종 97
 
4.1%
시 95
 
4.0%
울 94
 
3.9%
별 94
 
3.9%
특 94
 
3.9%
Other values (154) 782
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1472
61.8%
Space Separator 438
 
18.4%
Other Punctuation 390
 
16.4%
Dash Punctuation 54
 
2.3%
Decimal Number 13
 
0.5%
Uppercase Letter 8
 
0.3%
Lowercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 105
 
7.1%
구 98
 
6.7%
서 97
 
6.6%
종 97
 
6.6%
시 95
 
6.5%
울 94
 
6.4%
별 94
 
6.4%
특 94
 
6.4%
동 88
 
6.0%
지 61
 
4.1%
Other values (137) 549
37.3%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
8 4
30.8%
2 3
23.1%
9 1
 
7.7%
4 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
T 2
25.0%
B 2
25.0%
S 2
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
e 2
25.0%
w 2
25.0%
r 2
25.0%
Other Punctuation
ValueCountFrequency (%)
* 389
99.7%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1472
61.8%
Common 895
37.6%
Latin 16
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 105
 
7.1%
구 98
 
6.7%
서 97
 
6.6%
종 97
 
6.6%
시 95
 
6.5%
울 94
 
6.4%
별 94
 
6.4%
특 94
 
6.4%
동 88
 
6.0%
지 61
 
4.1%
Other values (137) 549
37.3%
Common
ValueCountFrequency (%)
438
48.9%
* 389
43.5%
- 54
 
6.0%
1 4
 
0.4%
8 4
 
0.4%
2 3
 
0.3%
9 1
 
0.1%
4 1
 
0.1%
? 1
 
0.1%
Latin
ValueCountFrequency (%)
A 2
12.5%
o 2
12.5%
T 2
12.5%
B 2
12.5%
S 2
12.5%
e 2
12.5%
w 2
12.5%
r 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1472
61.8%
ASCII 911
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
438
48.1%
* 389
42.7%
- 54
 
5.9%
1 4
 
0.4%
8 4
 
0.4%
2 3
 
0.3%
A 2
 
0.2%
o 2
 
0.2%
T 2
 
0.2%
B 2
 
0.2%
Other values (7) 11
 
1.2%
Hangul
ValueCountFrequency (%)
로 105
 
7.1%
구 98
 
6.7%
서 97
 
6.6%
종 97
 
6.6%
시 95
 
6.5%
울 94
 
6.4%
별 94
 
6.4%
특 94
 
6.4%
동 88
 
6.0%
지 61
 
4.1%
Other values (137) 549
37.3%

도로명주소
Text

MISSING 

Distinct88
Distinct (%)94.6%
Missing1
Missing (%)1.1%
Memory size884.0 B
2024-05-11T03:27:19.581986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length34.322581
Min length22

Characters and Unicode

Total characters3192
Distinct characters193
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)89.2%

Sample

1st row서울특별시 종로구 삼일대로 *** (낙원동)
2nd row서울특별시 종로구 경희궁길 **, *층 (신문로*가, 신영빌딩)
3rd row서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)
4th row서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)
5th row서울특별시 종로구 돈화문로*나길 ** (봉익동)
ValueCountFrequency (%)
서울특별시 93
 
15.2%
종로구 93
 
15.2%
89
 
14.5%
층 34
 
5.5%
호 32
 
5.2%
낙원동 7
 
1.1%
내수동 7
 
1.1%
신문로*가 6
 
1.0%
새문안로*길 6
 
1.0%
명륜*가 5
 
0.8%
Other values (166) 241
39.3%
2024-05-11T03:27:21.183110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
538
16.9%
* 459
 
14.4%
로 185
 
5.8%
종 109
 
3.4%
구 97
 
3.0%
, 97
 
3.0%
서 96
 
3.0%
시 94
 
2.9%
) 93
 
2.9%
동 93
 
2.9%
Other values (183) 1331
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1839
57.6%
Other Punctuation 557
 
17.4%
Space Separator 538
 
16.9%
Close Punctuation 93
 
2.9%
Open Punctuation 93
 
2.9%
Decimal Number 29
 
0.9%
Dash Punctuation 25
 
0.8%
Uppercase Letter 10
 
0.3%
Lowercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 185
 
10.1%
종 109
 
5.9%
구 97
 
5.3%
서 96
 
5.2%
시 94
 
5.1%
동 93
 
5.1%
울 93
 
5.1%
별 93
 
5.1%
특 93
 
5.1%
길 57
 
3.1%
Other values (160) 829
45.1%
Decimal Number
ValueCountFrequency (%)
1 10
34.5%
5 5
17.2%
6 4
 
13.8%
0 3
 
10.3%
7 3
 
10.3%
2 2
 
6.9%
8 2
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
T 2
20.0%
S 2
20.0%
A 2
20.0%
M 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
r 2
25.0%
e 2
25.0%
w 2
25.0%
Other Punctuation
ValueCountFrequency (%)
* 459
82.4%
, 97
 
17.4%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1839
57.6%
Common 1335
41.8%
Latin 18
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 185
 
10.1%
종 109
 
5.9%
구 97
 
5.3%
서 96
 
5.2%
시 94
 
5.1%
동 93
 
5.1%
울 93
 
5.1%
별 93
 
5.1%
특 93
 
5.1%
길 57
 
3.1%
Other values (160) 829
45.1%
Common
ValueCountFrequency (%)
538
40.3%
* 459
34.4%
, 97
 
7.3%
) 93
 
7.0%
( 93
 
7.0%
- 25
 
1.9%
1 10
 
0.7%
5 5
 
0.4%
6 4
 
0.3%
0 3
 
0.2%
Other values (4) 8
 
0.6%
Latin
ValueCountFrequency (%)
B 3
16.7%
T 2
11.1%
S 2
11.1%
A 2
11.1%
o 2
11.1%
r 2
11.1%
e 2
11.1%
w 2
11.1%
M 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1839
57.6%
ASCII 1353
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
538
39.8%
* 459
33.9%
, 97
 
7.2%
) 93
 
6.9%
( 93
 
6.9%
- 25
 
1.8%
1 10
 
0.7%
5 5
 
0.4%
6 4
 
0.3%
0 3
 
0.2%
Other values (13) 26
 
1.9%
Hangul
ValueCountFrequency (%)
로 185
 
10.1%
종 109
 
5.9%
구 97
 
5.3%
서 96
 
5.2%
시 94
 
5.1%
동 93
 
5.1%
울 93
 
5.1%
별 93
 
5.1%
특 93
 
5.1%
길 57
 
3.1%
Other values (160) 829
45.1%

도로명우편번호
Text

MISSING 

Distinct52
Distinct (%)77.6%
Missing27
Missing (%)28.7%
Memory size884.0 B
2024-05-11T03:27:21.925849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1492537
Min length5

Characters and Unicode

Total characters345
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

Unique42 ?
Unique (%)62.7%

Sample

1st row110062
2nd row03157
3rd row03035
4th row110370
5th row03184
ValueCountFrequency (%)
03140 5
 
7.5%
03073 3
 
4.5%
03157 3
 
4.5%
03035 2
 
3.0%
03174 2
 
3.0%
110062 2
 
3.0%
03173 2
 
3.0%
03126 2
 
3.0%
03039 2
 
3.0%
03040 2
 
3.0%
Other values (42) 42
62.7%
2024-05-11T03:27:23.449875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
32.5%
3 74
21.4%
1 58
16.8%
7 25
 
7.2%
4 17
 
4.9%
6 16
 
4.6%
2 15
 
4.3%
5 11
 
3.2%
8 11
 
3.2%
9 5
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 344
99.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
32.6%
3 74
21.5%
1 58
16.9%
7 25
 
7.3%
4 17
 
4.9%
6 16
 
4.7%
2 15
 
4.4%
5 11
 
3.2%
8 11
 
3.2%
9 5
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
32.5%
3 74
21.4%
1 58
16.8%
7 25
 
7.2%
4 17
 
4.9%
6 16
 
4.6%
2 15
 
4.3%
5 11
 
3.2%
8 11
 
3.2%
9 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
32.5%
3 74
21.4%
1 58
16.8%
7 25
 
7.2%
4 17
 
4.9%
6 16
 
4.6%
2 15
 
4.3%
5 11
 
3.2%
8 11
 
3.2%
9 5
 
1.4%

사업장명
Text

Distinct93
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T03:27:24.158587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length9.5531915
Min length2

Characters and Unicode

Total characters898
Distinct characters227
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)97.9%

Sample

1st row동아흥행(주)
2nd row(주)미로비젼
3rd row온정필름
4th row(주)오픈시네마
5th row(주)문화환경
ValueCountFrequency (%)
주식회사 17
 
13.1%
유니버설픽쳐스인터내셔널코리아(유 2
 
1.5%
co.,ltd 2
 
1.5%
유한회사 2
 
1.5%
일미디어(il 1
 
0.8%
파티큘러 1
 
0.8%
주)더세컨드웨이브 1
 
0.8%
주)얼리버드픽쳐스 1
 
0.8%
주)종로문화쌀롱 1
 
0.8%
인사이트필름 1
 
0.8%
Other values (101) 101
77.7%
2024-05-11T03:27:25.454246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 63
 
7.0%
) 52
 
5.8%
( 52
 
5.8%
36
 
4.0%
사 29
 
3.2%
스 27
 
3.0%
인 19
 
2.1%
회 19
 
2.1%
이 18
 
2.0%
트 18
 
2.0%
Other values (217) 565
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 696
77.5%
Close Punctuation 52
 
5.8%
Open Punctuation 52
 
5.8%
Uppercase Letter 41
 
4.6%
Space Separator 36
 
4.0%
Lowercase Letter 16
 
1.8%
Other Punctuation 4
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 63
 
9.1%
사 29
 
4.2%
스 27
 
3.9%
인 19
 
2.7%
회 19
 
2.7%
이 18
 
2.6%
트 18
 
2.6%
식 17
 
2.4%
아 14
 
2.0%
픽 12
 
1.7%
Other values (183) 460
66.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
12.2%
L 5
12.2%
O 3
 
7.3%
B 3
 
7.3%
R 3
 
7.3%
C 3
 
7.3%
T 2
 
4.9%
U 2
 
4.9%
I 2
 
4.9%
D 2
 
4.9%
Other values (8) 11
26.8%
Lowercase Letter
ValueCountFrequency (%)
t 3
18.8%
i 2
12.5%
o 2
12.5%
d 2
12.5%
e 2
12.5%
a 1
 
6.2%
r 1
 
6.2%
s 1
 
6.2%
z 1
 
6.2%
n 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 696
77.5%
Common 145
 
16.1%
Latin 57
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 63
 
9.1%
사 29
 
4.2%
스 27
 
3.9%
인 19
 
2.7%
회 19
 
2.7%
이 18
 
2.6%
트 18
 
2.6%
식 17
 
2.4%
아 14
 
2.0%
픽 12
 
1.7%
Other values (183) 460
66.1%
Latin
ValueCountFrequency (%)
A 5
 
8.8%
L 5
 
8.8%
O 3
 
5.3%
B 3
 
5.3%
R 3
 
5.3%
C 3
 
5.3%
t 3
 
5.3%
T 2
 
3.5%
U 2
 
3.5%
I 2
 
3.5%
Other values (18) 26
45.6%
Common
ValueCountFrequency (%)
) 52
35.9%
( 52
35.9%
36
24.8%
. 2
 
1.4%
, 2
 
1.4%
4 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 696
77.5%
ASCII 202
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 63
 
9.1%
사 29
 
4.2%
스 27
 
3.9%
인 19
 
2.7%
회 19
 
2.7%
이 18
 
2.6%
트 18
 
2.6%
식 17
 
2.4%
아 14
 
2.0%
픽 12
 
1.7%
Other values (183) 460
66.1%
ASCII
ValueCountFrequency (%)
) 52
25.7%
( 52
25.7%
36
17.8%
A 5
 
2.5%
L 5
 
2.5%
O 3
 
1.5%
B 3
 
1.5%
R 3
 
1.5%
C 3
 
1.5%
t 3
 
1.5%
Other values (24) 37
18.3%

최종수정일자
Date

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2010-04-29 10:10:26
Maximum2024-05-07 16:35:21
2024-05-11T03:27:26.083495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:27:26.659600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
I
64 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 64
68.1%
U 30
31.9%

Length

2024-05-11T03:27:27.102549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:27.520537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
68.1%
u 30
31.9%

데이터갱신일자
Date

Distinct50
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:27:27.963632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:27:28.417901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)81.7%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean198451.39
Minimum196049.94
Maximum201452.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T03:27:28.912915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196049.94
5-th percentile197072.05
Q1197482.21
median198286.35
Q3199216.79
95-th percentile200291.37
Maximum201452.97
Range5403.0288
Interquartile range (IQR)1734.5879

Descriptive statistics

Standard deviation1202.4572
Coefficient of variation (CV)0.0060592025
Kurtosis-0.44792857
Mean198451.39
Median Absolute Deviation (MAD)804.14467
Skewness0.46042192
Sum18455979
Variance1445903.2
MonotonicityNot monotonic
2024-05-11T03:27:29.431710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197567.747824202 4
 
4.3%
197486.619352489 3
 
3.2%
198852.959716775 2
 
2.1%
197612.137033978 2
 
2.1%
199635.069254984 2
 
2.1%
200291.374084556 2
 
2.1%
198324.653631679 2
 
2.1%
198838.912965902 2
 
2.1%
197216.894495199 2
 
2.1%
199052.164234663 2
 
2.1%
Other values (66) 70
74.5%
ValueCountFrequency (%)
196049.941531833 1
1.1%
196301.180095165 1
1.1%
196335.329427755 1
1.1%
196819.191038053 1
1.1%
197036.537391184 1
1.1%
197095.722850724 1
1.1%
197149.750130637 1
1.1%
197190.473564934 1
1.1%
197193.771272123 1
1.1%
197196.866507381 1
1.1%
ValueCountFrequency (%)
201452.97033909 1
1.1%
201426.690277293 1
1.1%
201282.378349367 1
1.1%
200480.177581939 1
1.1%
200291.374084556 2
2.1%
200284.079710268 1
1.1%
200258.121120881 1
1.1%
200257.190354048 1
1.1%
200102.346302785 1
1.1%
200072.378101828 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)81.7%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean452916.19
Minimum451938.04
Maximum456970.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T03:27:30.385942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451938.04
5-th percentile451989.55
Q1452229.11
median452535.57
Q3453158.49
95-th percentile456189.25
Maximum456970.48
Range5032.4451
Interquartile range (IQR)929.38741

Descriptive statistics

Standard deviation1137.139
Coefficient of variation (CV)0.0025107051
Kurtosis4.738574
Mean452916.19
Median Absolute Deviation (MAD)344.09266
Skewness2.2449638
Sum42121206
Variance1293085.1
MonotonicityNot monotonic
2024-05-11T03:27:31.135813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452347.973860449 4
 
4.3%
452879.662625651 3
 
3.2%
452253.942584507 2
 
2.1%
452831.555366395 2
 
2.1%
453396.280071147 2
 
2.1%
452163.083270761 2
 
2.1%
452252.812389497 2
 
2.1%
452214.210961577 2
 
2.1%
452924.43495529 2
 
2.1%
452535.569961658 2
 
2.1%
Other values (66) 70
74.5%
ValueCountFrequency (%)
451938.037709964 1
1.1%
451938.30792481 2
2.1%
451939.677286976 1
1.1%
451945.047247204 1
1.1%
452019.212642931 1
1.1%
452034.162854757 1
1.1%
452045.296742706 2
2.1%
452087.030190231 1
1.1%
452141.287286209 2
2.1%
452162.304535024 1
1.1%
ValueCountFrequency (%)
456970.482848874 1
1.1%
456799.444615205 1
1.1%
456383.774069563 1
1.1%
456348.930896072 1
1.1%
456310.978865273 1
1.1%
456108.099432583 1
1.1%
455997.314779951 1
1.1%
454141.265162724 1
1.1%
454130.889502182 1
1.1%
454110.222558178 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
영화배급업
66 
<NA>
28 

Length

Max length5
Median length5
Mean length4.7021277
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 66
70.2%
<NA> 28
29.8%

Length

2024-05-11T03:27:31.875225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:32.317990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 66
70.2%
na 28
29.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:32.823515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:33.217696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:33.622625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:33.983416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:34.426576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:34.797596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:35.154301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:35.516018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:35.965363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:36.255563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:36.650041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:37.094600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:37.457457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:37.877343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:38.388172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:38.811241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
91 
0
 
3

Length

Max length4
Median length4
Mean length3.9042553
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
96.8%
0 3
 
3.2%

Length

2024-05-11T03:27:39.325720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:39.768247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
96.8%
0 3
 
3.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)93.9%
Missing28
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean20124776
Minimum19990702
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T03:27:40.360799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990702
5-th percentile19990997
Q120080668
median20150119
Q320177896
95-th percentile20207883
Maximum20220307
Range229605
Interquartile range (IQR)97228.75

Descriptive statistics

Standard deviation65188.259
Coefficient of variation (CV)0.0032392042
Kurtosis-0.43985775
Mean20124776
Median Absolute Deviation (MAD)40795.5
Skewness-0.67139937
Sum1.3282352 × 109
Variance4.2495091 × 109
MonotonicityNot monotonic
2024-05-11T03:27:40.936030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150119 3
 
3.2%
20161101 2
 
2.1%
20180126 2
 
2.1%
20160414 1
 
1.1%
20150211 1
 
1.1%
20141028 1
 
1.1%
20170427 1
 
1.1%
20170907 1
 
1.1%
20171207 1
 
1.1%
20161014 1
 
1.1%
Other values (52) 52
55.3%
(Missing) 28
29.8%
ValueCountFrequency (%)
19990702 1
1.1%
19990828 1
1.1%
19990904 1
1.1%
19990929 1
1.1%
19991202 1
1.1%
19991213 1
1.1%
20000526 1
1.1%
20030729 1
1.1%
20040218 1
1.1%
20061205 1
1.1%
ValueCountFrequency (%)
20220307 1
1.1%
20210507 1
1.1%
20210112 1
1.1%
20210105 1
1.1%
20201216 1
1.1%
20201106 1
1.1%
20200909 1
1.1%
20200131 1
1.1%
20191023 1
1.1%
20190806 1
1.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF521103199900000119990702<NA>1영업/정상13영업중<NA><NA><NA><NA>745-4231<NA>110320서울특별시 종로구 낙원동 ***-*번지서울특별시 종로구 삼일대로 *** (낙원동)<NA>동아흥행(주)2010-04-29 10:10:26I2018-08-31 23:59:59.0<NA>198852.959717452253.942585영화배급업<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>19990702<NA>
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33000000CDFF521103199900000419990929<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4248<NA>110350서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)<NA>(주)오픈시네마2010-04-29 10:26:25I2018-08-31 23:59:59.0<NA>198966.466796452608.062544영화배급업<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>19990929<NA>
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53000000CDFF521103199900000619991213<NA>1영업/정상13영업중<NA><NA><NA><NA>7450778<NA>110280서울특별시 종로구 원서동 **-*번지서울특별시 종로구 창덕궁길 ** (원서동)<NA>다솜필름2010-04-29 10:29:58I2018-08-31 23:59:59.0<NA>198978.930448453260.13677영화배급업<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>19991213<NA>
63000000CDFF521103199900000719991217<NA>5제외/삭제/전출15전출20221207<NA><NA><NA>02-736-8898<NA><NA>서울특별시 종로구 청진동 128 Tower 8서울특별시 종로구 종로5길 7, Tower 8 15-16층 (청진동)03157유니버설픽쳐스인터내셔널코리아(유)2022-12-07 11:13:56U2021-11-02 00:09:00.0<NA>198213.955223452045.296743<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>
73000000CDFF521103200000000120000414<NA>3폐업3폐업20151203<NA><NA><NA>732-1895<NA>110040서울특별시 종로구 통의동 ** 화암빌딩 *층서울특별시 종로구 자하문로 ** (통의동,화암빌딩 *층)<NA>미디어필림인터내셔날(주)2022-05-13 14:51:20U2021-12-04 23:05:00.0<NA>197486.619352452879.662626<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>
83000000CDFF521103200000000220000526<NA>1영업/정상13영업중<NA><NA><NA><NA>3673-0330<NA>110350서울특별시 종로구 운니동 **-**번지 가든타워빌딩 ****호서울특별시 종로구 율곡로 ** (운니동,가든타워빌딩 ****호)<NA>원앤원픽쳐스2010-04-29 10:40:58I2018-08-31 23:59:59.0<NA>198910.899366452750.505123영화배급업<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>20000526<NA>
93000000CDFF521103200300000120030729<NA>1영업/정상13영업중<NA><NA><NA><NA>730-6674<NA><NA>서울특별시 종로구 경운동 **-**번지 *층서울특별시 종로구 율곡로 ** (경운동,*층)<NA>(주)마블엔터테인먼트2010-04-29 10:45:14I2018-08-31 23:59:59.0<NA>198640.079735452660.293047영화배급업<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>20030729<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
843000000CDFF52110320230000022023-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA>023590741<NA><NA>서울특별시 종로구 필운동 **-*서울특별시 종로구 사직로*길 ** (필운동)03027판씨네마(주)2023-02-13 14:14:43I2022-12-01 23:05:00.0<NA>197095.722851452798.163689<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>
853000000CDFF52110320230000032023-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 ** 르메이에르종로타운*서울특별시 종로구 종로 **, 르메이에르종로타운* 에이동 **층 ****호 (종로*가)03157주식회사 브릴리언트미디어2023-05-11 13:01:26I2022-12-04 23:03:00.0<NA>198150.300374452019.212643<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>
863000000CDFF52110320230000041999-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-8898<NA><NA>서울특별시 종로구 청진동 *** 디타워 디* **층서울특별시 종로구 종로*길 **, 디타워 디* **층 (청진동)03155유니버설픽쳐스인터내셔널코리아(유)2023-08-16 10:58:23U2022-12-07 23:08:00.0<NA>198068.926782452087.03019<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>
873000000CDFF52110320230000052021-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3279-2201<NA><NA>서울특별시 종로구 연건동 ***-* 홍익대학교 대학로캠퍼스 교육동 *층서울특별시 종로구 대학로 **, 홍익대학교 대학로캠퍼스 교육동 *층 (연건동)03082재단법인 국립극단2024-05-07 16:35:21U2023-12-05 00:09:00.0<NA>200059.357458452693.724316<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>
883000000CDFF52110320230000062023-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3672-4235<NA><NA>서울특별시 종로구 낙원동 *** 낙원상가서울특별시 종로구 삼일대로 ***, 낙원상가 (낙원동)03140(주)동아서울시네마2023-12-29 15:15:35U2022-11-01 21:01:00.0<NA>198838.912966452214.210962<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>
893000000CDFF52110320230000072021-09-14<NA>3폐업3폐업2023-12-27<NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-** 계우빌딩서울특별시 종로구 대학로**길 **, 계우빌딩 *층 ***-M***호 (동숭동)03086한사람픽쳐스2023-12-27 16:51:07U2022-11-01 22:09:00.0<NA>200284.07971453238.540021<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>
903000000CDFF52110320240000012024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 평창동 ***-**서울특별시 종로구 평창*길 *-* (평창동)03003주식회사 손엔터테인먼트2024-02-19 09:59:52I2023-12-01 22:01:00.0<NA>197627.145408456970.482849<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>
913000000CDFF52110320240000022024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 삼청동 산 *-**서울특별시 종로구 삼청로**길 **-* (삼청동)03049(주)영화사시월2024-03-13 18:49:28I2023-12-02 23:06:00.0<NA>198286.350002454110.222558<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>
923000000CDFF52110320240000032024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 혜화동 **-***서울특별시 종로구 혜화로*길 **-*, B*층 (혜화동)03076사단법인 날개숲2024-04-18 16:51:27I2023-12-03 22:00:00.0<NA>200102.346303454141.265163<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>
933000000CDFF52110320240000042024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜*가 *-***서울특별시 종로구 창경궁로**길 **, ***호 (명륜*가)03073오스카 프로덕션2024-04-24 15:54:12I2023-12-03 22:06:00.0<NA>199587.540175453459.387133<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>