Overview

Dataset statistics

Number of variables56
Number of observations69
Missing cells1886
Missing cells (%)48.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory490.9 B

Variable types

Categorical17
Text5
DateTime4
Unsupported25
Numeric5

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17293/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (55.6%)Imbalance
영업상태명 is highly imbalanced (55.6%)Imbalance
상세영업상태코드 is highly imbalanced (59.6%)Imbalance
상세영업상태명 is highly imbalanced (59.6%)Imbalance
문화체육업종명 is highly imbalanced (52.6%)Imbalance
총층수 is highly imbalanced (52.6%)Imbalance
제작취급품목내용 is highly imbalanced (55.6%)Imbalance
지상층수 is highly imbalanced (52.6%)Imbalance
지하층수 is highly imbalanced (52.6%)Imbalance
통로너비 is highly imbalanced (52.6%)Imbalance
조명시설조도 is highly imbalanced (52.6%)Imbalance
노래방실수 is highly imbalanced (52.6%)Imbalance
청소년실수 is highly imbalanced (52.6%)Imbalance
총게임기수 is highly imbalanced (52.6%)Imbalance
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 58 (84.1%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
전화번호 has 6 (8.7%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 58 (84.1%) missing valuesMissing
도로명주소 has 5 (7.2%) missing valuesMissing
도로명우편번호 has 17 (24.6%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
좌표정보(X) has 5 (7.2%) missing valuesMissing
좌표정보(Y) has 5 (7.2%) missing valuesMissing
주변환경명 has 69 (100.0%) missing valuesMissing
시설면적 has 7 (10.1%) missing valuesMissing
건물용도명 has 69 (100.0%) missing valuesMissing
비상계단여부 has 69 (100.0%) missing valuesMissing
비상구여부 has 69 (100.0%) missing valuesMissing
자동환기여부 has 69 (100.0%) missing valuesMissing
청소년실여부 has 69 (100.0%) missing valuesMissing
특수조명여부 has 69 (100.0%) missing valuesMissing
방음시설여부 has 69 (100.0%) missing valuesMissing
비디오재생기명 has 69 (100.0%) missing valuesMissing
조명시설유무 has 69 (100.0%) missing valuesMissing
음향시설여부 has 69 (100.0%) missing valuesMissing
편의시설여부 has 69 (100.0%) missing valuesMissing
소방시설여부 has 69 (100.0%) missing valuesMissing
기존게임업외업종명 has 69 (100.0%) missing valuesMissing
제공게임물명 has 69 (100.0%) missing valuesMissing
공연장형태구분명 has 69 (100.0%) missing valuesMissing
품목명 has 69 (100.0%) missing valuesMissing
최초등록시점 has 69 (100.0%) missing valuesMissing
지역구분명 has 69 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 47 (68.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:10:01.107470
Analysis finished2024-05-11 06:10:01.889172
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
3010000
69 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 69
100.0%

Length

2024-05-11T15:10:01.968601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:02.121793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 69
100.0%

관리번호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T15:10:02.413508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1380
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

Unique69 ?
Unique (%)100.0%

Sample

1st rowCDFF1241111999000001
2nd rowCDFF1241111999000002
3rd rowCDFF1241112000000001
4th rowCDFF1241112000000002
5th rowCDFF1241112000000003
ValueCountFrequency (%)
cdff1241111999000001 1
 
1.4%
cdff1241112005000005 1
 
1.4%
cdff1241112012000002 1
 
1.4%
cdff1241112011000005 1
 
1.4%
cdff1241112011000004 1
 
1.4%
cdff1241112011000003 1
 
1.4%
cdff1241112011000002 1
 
1.4%
cdff1241112010000005 1
 
1.4%
cdff1241112009000002 1
 
1.4%
cdff1241112010000001 1
 
1.4%
Other values (59) 59
85.5%
2024-05-11T15:10:02.926637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 464
33.6%
1 332
24.1%
2 166
 
12.0%
F 138
 
10.0%
4 80
 
5.8%
C 69
 
5.0%
D 69
 
5.0%
5 19
 
1.4%
3 18
 
1.3%
9 10
 
0.7%
Other values (3) 15
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1104
80.0%
Uppercase Letter 276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 464
42.0%
1 332
30.1%
2 166
 
15.0%
4 80
 
7.2%
5 19
 
1.7%
3 18
 
1.6%
9 10
 
0.9%
6 7
 
0.6%
7 4
 
0.4%
8 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
80.0%
Latin 276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 464
42.0%
1 332
30.1%
2 166
 
15.0%
4 80
 
7.2%
5 19
 
1.7%
3 18
 
1.6%
9 10
 
0.9%
6 7
 
0.6%
7 4
 
0.4%
8 4
 
0.4%
Latin
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 464
33.6%
1 332
24.1%
2 166
 
12.0%
F 138
 
10.0%
4 80
 
5.8%
C 69
 
5.0%
D 69
 
5.0%
5 19
 
1.4%
3 18
 
1.3%
9 10
 
0.7%
Other values (3) 15
 
1.1%

인허가일자
Date

Distinct66
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1999-09-09 00:00:00
Maximum2023-01-03 00:00:00
2024-05-11T15:10:03.101558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:03.277333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
1
58 
3
10 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 58
84.1%
3 10
 
14.5%
5 1
 
1.4%

Length

2024-05-11T15:10:03.467346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:03.598228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
84.1%
3 10
 
14.5%
5 1
 
1.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업/정상
58 
폐업
10 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.6086957
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 58
84.1%
폐업 10
 
14.5%
제외/삭제/전출 1
 
1.4%

Length

2024-05-11T15:10:03.755986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:03.911205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 58
84.1%
폐업 10
 
14.5%
제외/삭제/전출 1
 
1.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
13
57 
3
10 
14
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.8550725
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 57
82.6%
3 10
 
14.5%
14 1
 
1.4%
15 1
 
1.4%

Length

2024-05-11T15:10:04.068234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:04.199343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 57
82.6%
3 10
 
14.5%
14 1
 
1.4%
15 1
 
1.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업중
57 
폐업
10 
전입
 
1
전출
 
1

Length

Max length3
Median length3
Mean length2.826087
Min length2

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 57
82.6%
폐업 10
 
14.5%
전입 1
 
1.4%
전출 1
 
1.4%

Length

2024-05-11T15:10:04.357708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:04.540014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 57
82.6%
폐업 10
 
14.5%
전입 1
 
1.4%
전출 1
 
1.4%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing58
Missing (%)84.1%
Memory size684.0 B
Minimum2007-08-10 00:00:00
Maximum2023-09-20 00:00:00
2024-05-11T15:10:04.696140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:04.891387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

전화번호
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing6
Missing (%)8.7%
Memory size684.0 B
2024-05-11T15:10:05.218406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.4920635
Min length8

Characters and Unicode

Total characters598
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

Unique61 ?
Unique (%)96.8%

Sample

1st row757-3323
2nd row2277-7789
3rd row725-1199
4th row563-4525
5th row779-2486
ValueCountFrequency (%)
2279-7712 2
 
3.2%
3393-8800 1
 
1.6%
025847484 1
 
1.6%
757-3323 1
 
1.6%
360-4041 1
 
1.6%
564-8908 1
 
1.6%
070-4404-6062 1
 
1.6%
319-1150 1
 
1.6%
6377-0500 1
 
1.6%
3789-2790 1
 
1.6%
Other values (52) 52
82.5%
2024-05-11T15:10:05.767590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 95
15.9%
- 72
12.0%
0 72
12.0%
7 66
11.0%
6 57
9.5%
3 47
7.9%
4 46
7.7%
8 38
 
6.4%
5 36
 
6.0%
1 35
 
5.9%
Other values (2) 34
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 525
87.8%
Dash Punctuation 72
 
12.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
18.1%
0 72
13.7%
7 66
12.6%
6 57
10.9%
3 47
9.0%
4 46
8.8%
8 38
 
7.2%
5 36
 
6.9%
1 35
 
6.7%
9 33
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 95
15.9%
- 72
12.0%
0 72
12.0%
7 66
11.0%
6 57
9.5%
3 47
7.9%
4 46
7.7%
8 38
 
6.4%
5 36
 
6.0%
1 35
 
5.9%
Other values (2) 34
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 95
15.9%
- 72
12.0%
0 72
12.0%
7 66
11.0%
6 57
9.5%
3 47
7.9%
4 46
7.7%
8 38
 
6.4%
5 36
 
6.0%
1 35
 
5.9%
Other values (2) 34
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing58
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean104006.27
Minimum100042
Maximum140210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:10:05.957756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100042
5-th percentile100141
Q1100261
median100273
Q3100633.5
95-th percentile120530.5
Maximum140210
Range40168
Interquartile range (IQR)372.5

Descriptive statistics

Standard deviation12009.96
Coefficient of variation (CV)0.11547342
Kurtosis10.987569
Mean104006.27
Median Absolute Deviation (MAD)119
Skewness3.3140608
Sum1144069
Variance1.4423914 × 108
MonotonicityNot monotonic
2024-05-11T15:10:06.107750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
100272 2
 
2.9%
100273 1
 
1.4%
140210 1
 
1.4%
100440 1
 
1.4%
100392 1
 
1.4%
100851 1
 
1.4%
100250 1
 
1.4%
100042 1
 
1.4%
100827 1
 
1.4%
100240 1
 
1.4%
(Missing) 58
84.1%
ValueCountFrequency (%)
100042 1
1.4%
100240 1
1.4%
100250 1
1.4%
100272 2
2.9%
100273 1
1.4%
100392 1
1.4%
100440 1
1.4%
100827 1
1.4%
100851 1
1.4%
140210 1
1.4%
ValueCountFrequency (%)
140210 1
1.4%
100851 1
1.4%
100827 1
1.4%
100440 1
1.4%
100392 1
1.4%
100273 1
1.4%
100272 2
2.9%
100250 1
1.4%
100240 1
1.4%
100042 1
1.4%

지번주소
Text

Distinct65
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T15:10:06.390152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length28.463768
Min length17

Characters and Unicode

Total characters1964
Distinct characters136
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)88.4%

Sample

1st row서울특별시 중구 태평로*가 ***번지 *** 태평로빌딩 *층
2nd row서울특별시 중구 초동 **번지 초동빌딩 *,*층
3rd row서울특별시 중구 삼각동 ***번지 경기빌딩 ***
4th row서울특별시 중구 회현동*가 **-*번지 아일빌딩 ***호
5th row서울특별시 중구 정동 **-**번지 진섭빌딩 지하*층
ValueCountFrequency (%)
서울특별시 69
18.0%
중구 68
17.8%
번지 56
14.6%
층 24
 
6.3%
호 19
 
5.0%
17
 
4.4%
충무로*가 13
 
3.4%
필동*가 8
 
2.1%
신당동 7
 
1.8%
태평로*가 4
 
1.0%
Other values (82) 98
25.6%
2024-05-11T15:10:06.967956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 388
19.8%
372
18.9%
서 72
 
3.7%
울 71
 
3.6%
시 70
 
3.6%
중 70
 
3.6%
구 70
 
3.6%
특 69
 
3.5%
별 69
 
3.5%
지 60
 
3.1%
Other values (126) 653
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
57.2%
Other Punctuation 392
 
20.0%
Space Separator 372
 
18.9%
Dash Punctuation 54
 
2.7%
Uppercase Letter 12
 
0.6%
Decimal Number 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 72
 
6.4%
울 71
 
6.3%
시 70
 
6.2%
중 70
 
6.2%
구 70
 
6.2%
특 69
 
6.1%
별 69
 
6.1%
지 60
 
5.3%
번 56
 
5.0%
동 55
 
4.9%
Other values (106) 462
41.1%
Uppercase Letter
ValueCountFrequency (%)
R 3
25.0%
E 2
16.7%
A 1
 
8.3%
F 1
 
8.3%
U 1
 
8.3%
M 1
 
8.3%
T 1
 
8.3%
O 1
 
8.3%
W 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
6 2
20.0%
0 1
 
10.0%
5 1
 
10.0%
3 1
 
10.0%
1 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 388
99.0%
, 3
 
0.8%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
57.2%
Common 828
42.2%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 72
 
6.4%
울 71
 
6.3%
시 70
 
6.2%
중 70
 
6.2%
구 70
 
6.2%
특 69
 
6.1%
별 69
 
6.1%
지 60
 
5.3%
번 56
 
5.0%
동 55
 
4.9%
Other values (106) 462
41.1%
Common
ValueCountFrequency (%)
* 388
46.9%
372
44.9%
- 54
 
6.5%
2 4
 
0.5%
, 3
 
0.4%
6 2
 
0.2%
? 1
 
0.1%
0 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
R 3
25.0%
E 2
16.7%
A 1
 
8.3%
F 1
 
8.3%
U 1
 
8.3%
M 1
 
8.3%
T 1
 
8.3%
O 1
 
8.3%
W 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
57.2%
ASCII 840
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 388
46.2%
372
44.3%
- 54
 
6.4%
2 4
 
0.5%
, 3
 
0.4%
R 3
 
0.4%
6 2
 
0.2%
E 2
 
0.2%
A 1
 
0.1%
? 1
 
0.1%
Other values (10) 10
 
1.2%
Hangul
ValueCountFrequency (%)
서 72
 
6.4%
울 71
 
6.3%
시 70
 
6.2%
중 70
 
6.2%
구 70
 
6.2%
특 69
 
6.1%
별 69
 
6.1%
지 60
 
5.3%
번 56
 
5.0%
동 55
 
4.9%
Other values (106) 462
41.1%

도로명주소
Text

MISSING 

Distinct64
Distinct (%)100.0%
Missing5
Missing (%)7.2%
Memory size684.0 B
2024-05-11T15:10:07.371722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length33.390625
Min length22

Characters and Unicode

Total characters2137
Distinct characters144
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

Unique64 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 세종대로 **, *층 (태평로*가, 태평로빌딩)
2nd row서울특별시 중구 마른내로*길 **, *층 (초동, 초동빌딩)
3rd row서울특별시 중구 남대문로**길 *, ***호 (삼각동, 경기빌딩)
4th row서울특별시 중구 소공로*길 **, ***호 (회현동*가, 아일빌딩 )
5th row서울특별시 중구 정동길 *, 지하*층 (정동, 진섭빌딩)
ValueCountFrequency (%)
67
16.1%
서울특별시 64
15.3%
중구 64
15.3%
층 24
 
5.8%
호 24
 
5.8%
충무로*가 12
 
2.9%
퇴계로 7
 
1.7%
퇴계로**길 5
 
1.2%
필동*가 5
 
1.2%
수표로 5
 
1.2%
Other values (108) 140
33.6%
2024-05-11T15:10:08.246368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
366
17.1%
* 336
 
15.7%
로 82
 
3.8%
, 76
 
3.6%
서 69
 
3.2%
구 67
 
3.1%
시 66
 
3.1%
중 66
 
3.1%
울 66
 
3.1%
) 64
 
3.0%
Other values (134) 879
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1195
55.9%
Other Punctuation 413
 
19.3%
Space Separator 366
 
17.1%
Close Punctuation 64
 
3.0%
Open Punctuation 64
 
3.0%
Decimal Number 14
 
0.7%
Uppercase Letter 12
 
0.6%
Dash Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 82
 
6.9%
서 69
 
5.8%
구 67
 
5.6%
시 66
 
5.5%
중 66
 
5.5%
울 66
 
5.5%
별 64
 
5.4%
특 64
 
5.4%
동 54
 
4.5%
가 44
 
3.7%
Other values (112) 553
46.3%
Uppercase Letter
ValueCountFrequency (%)
R 3
25.0%
E 2
16.7%
A 1
 
8.3%
F 1
 
8.3%
U 1
 
8.3%
M 1
 
8.3%
T 1
 
8.3%
O 1
 
8.3%
W 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
5 3
21.4%
9 2
 
14.3%
3 2
 
14.3%
0 1
 
7.1%
1 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 336
81.4%
, 76
 
18.4%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
366
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1195
55.9%
Common 930
43.5%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 82
 
6.9%
서 69
 
5.8%
구 67
 
5.6%
시 66
 
5.5%
중 66
 
5.5%
울 66
 
5.5%
별 64
 
5.4%
특 64
 
5.4%
동 54
 
4.5%
가 44
 
3.7%
Other values (112) 553
46.3%
Common
ValueCountFrequency (%)
366
39.4%
* 336
36.1%
, 76
 
8.2%
) 64
 
6.9%
( 64
 
6.9%
- 9
 
1.0%
2 5
 
0.5%
5 3
 
0.3%
9 2
 
0.2%
3 2
 
0.2%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
R 3
25.0%
E 2
16.7%
A 1
 
8.3%
F 1
 
8.3%
U 1
 
8.3%
M 1
 
8.3%
T 1
 
8.3%
O 1
 
8.3%
W 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1195
55.9%
ASCII 942
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
366
38.9%
* 336
35.7%
, 76
 
8.1%
) 64
 
6.8%
( 64
 
6.8%
- 9
 
1.0%
2 5
 
0.5%
R 3
 
0.3%
5 3
 
0.3%
9 2
 
0.2%
Other values (12) 14
 
1.5%
Hangul
ValueCountFrequency (%)
로 82
 
6.9%
서 69
 
5.8%
구 67
 
5.6%
시 66
 
5.5%
중 66
 
5.5%
울 66
 
5.5%
별 64
 
5.4%
특 64
 
5.4%
동 54
 
4.5%
가 44
 
3.7%
Other values (112) 553
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)63.5%
Missing17
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean6397.75
Minimum4505
Maximum100102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:10:08.445047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4505
5-th percentile4512.1
Q14528.75
median4554
Q34588.5
95-th percentile4628.35
Maximum100102
Range95597
Interquartile range (IQR)59.75

Descriptive statistics

Standard deviation13249.289
Coefficient of variation (CV)2.0709295
Kurtosis51.999093
Mean6397.75
Median Absolute Deviation (MAD)32
Skewness7.2110101
Sum332683
Variance1.7554366 × 108
MonotonicityNot monotonic
2024-05-11T15:10:08.648707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4553 6
 
8.7%
4557 3
 
4.3%
4554 3
 
4.3%
4529 2
 
2.9%
4559 2
 
2.9%
4511 2
 
2.9%
4626 2
 
2.9%
4556 2
 
2.9%
4519 2
 
2.9%
4627 2
 
2.9%
Other values (23) 26
37.7%
(Missing) 17
24.6%
ValueCountFrequency (%)
4505 1
1.4%
4511 2
2.9%
4513 1
1.4%
4516 2
2.9%
4518 1
1.4%
4519 2
2.9%
4520 1
1.4%
4521 1
1.4%
4522 1
1.4%
4528 1
1.4%
ValueCountFrequency (%)
100102 1
1.4%
4633 1
1.4%
4630 1
1.4%
4627 2
2.9%
4626 2
2.9%
4623 1
1.4%
4619 1
1.4%
4612 1
1.4%
4606 2
2.9%
4596 1
1.4%

사업장명
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T15:10:08.948099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.884058
Min length2

Characters and Unicode

Total characters613
Distinct characters157
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)97.1%

Sample

1st row유로넥스트(주)
2nd row(주)픽도영화사
3rd row유지에이 코퍼레이션(주)
4th row(주)한국리지텍
5th row(주)두리넷
ValueCountFrequency (%)
신군단필름 2
 
2.7%
주식회사 2
 
2.7%
아이지에스코리아 1
 
1.3%
주)판다미디어 1
 
1.3%
주)뮤직앤무비 1
 
1.3%
한국브리태니커회사(주 1
 
1.3%
드림텍 1
 
1.3%
주)푸른곰팡이필름 1
 
1.3%
주)한국경제신문 1
 
1.3%
주)노이에스 1
 
1.3%
Other values (63) 63
84.0%
2024-05-11T15:10:09.583572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 55
 
9.0%
( 53
 
8.6%
) 53
 
8.6%
이 25
 
4.1%
스 19
 
3.1%
디 13
 
2.1%
트 13
 
2.1%
아 13
 
2.1%
리 11
 
1.8%
어 10
 
1.6%
Other values (147) 348
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
80.3%
Open Punctuation 53
 
8.6%
Close Punctuation 53
 
8.6%
Uppercase Letter 7
 
1.1%
Space Separator 6
 
1.0%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
11.2%
이 25
 
5.1%
스 19
 
3.9%
디 13
 
2.6%
트 13
 
2.6%
아 13
 
2.6%
리 11
 
2.2%
어 10
 
2.0%
미 10
 
2.0%
지 8
 
1.6%
Other values (135) 315
64.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
14.3%
R 1
14.3%
P 1
14.3%
S 1
14.3%
V 1
14.3%
G 1
14.3%
B 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
80.3%
Common 114
 
18.6%
Latin 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
11.2%
이 25
 
5.1%
스 19
 
3.9%
디 13
 
2.6%
트 13
 
2.6%
아 13
 
2.6%
리 11
 
2.2%
어 10
 
2.0%
미 10
 
2.0%
지 8
 
1.6%
Other values (135) 315
64.0%
Latin
ValueCountFrequency (%)
O 1
14.3%
R 1
14.3%
P 1
14.3%
S 1
14.3%
V 1
14.3%
G 1
14.3%
B 1
14.3%
Common
ValueCountFrequency (%)
( 53
46.5%
) 53
46.5%
6
 
5.3%
1 1
 
0.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
80.3%
ASCII 121
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 55
 
11.2%
이 25
 
5.1%
스 19
 
3.9%
디 13
 
2.6%
트 13
 
2.6%
아 13
 
2.6%
리 11
 
2.2%
어 10
 
2.0%
미 10
 
2.0%
지 8
 
1.6%
Other values (135) 315
64.0%
ASCII
ValueCountFrequency (%)
( 53
43.8%
) 53
43.8%
6
 
5.0%
1 1
 
0.8%
2 1
 
0.8%
O 1
 
0.8%
R 1
 
0.8%
P 1
 
0.8%
S 1
 
0.8%
V 1
 
0.8%
Other values (2) 2
 
1.7%

최종수정일자
Date

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2006-03-23 13:41:05
Maximum2023-10-30 16:36:24
2024-05-11T15:10:09.772206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:09.925813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
60 
U
9 

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 60
87.0%
U 9
 
13.0%

Length

2024-05-11T15:10:10.104084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:10.236290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 60
87.0%
u 9
 
13.0%

데이터갱신일자
Date

Distinct13
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:03:00
2024-05-11T15:10:10.346134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:10.491494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean199041.68
Minimum197032.92
Maximum201430.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:10:10.647316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197032.92
5-th percentile197291.65
Q1198329.39
median199067.42
Q3199504.79
95-th percentile200984.57
Maximum201430.57
Range4397.6431
Interquartile range (IQR)1175.393

Descriptive statistics

Standard deviation1092.519
Coefficient of variation (CV)0.0054888954
Kurtosis-0.22914005
Mean199041.68
Median Absolute Deviation (MAD)628.24391
Skewness0.2273575
Sum12738668
Variance1193597.7
MonotonicityNot monotonic
2024-05-11T15:10:10.830309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199051.18306436 2
 
2.9%
197032.923485936 2
 
2.9%
198651.273784325 2
 
2.9%
199067.419469273 2
 
2.9%
199101.132483391 2
 
2.9%
199378.798616193 2
 
2.9%
200931.446400556 1
 
1.4%
200572.522632906 1
 
1.4%
198306.905839189 1
 
1.4%
199521.200809167 1
 
1.4%
Other values (48) 48
69.6%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
197032.923485936 2
2.9%
197235.105099414 1
1.4%
197279.328436862 1
1.4%
197361.474662827 1
1.4%
197462.198757043 1
1.4%
197554.559528663 1
1.4%
197566.862311117 1
1.4%
197799.544196134 1
1.4%
197814.337747467 1
1.4%
197816.969771539 1
1.4%
ValueCountFrequency (%)
201430.566610162 1
1.4%
201357.668414279 1
1.4%
201334.590197278 1
1.4%
200993.950427338 1
1.4%
200931.446400556 1
1.4%
200882.345436367 1
1.4%
200703.625559248 1
1.4%
200572.522632906 1
1.4%
200526.453205298 1
1.4%
199963.784267847 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean451098.43
Minimum450131.89
Maximum451836.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:10:11.007534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450131.89
5-th percentile450468.93
Q1450886.14
median451088.4
Q3451272.74
95-th percentile451773.71
Maximum451836.46
Range1704.5681
Interquartile range (IQR)386.60218

Descriptive statistics

Standard deviation387.52866
Coefficient of variation (CV)0.00085907783
Kurtosis-0.11001733
Mean451098.43
Median Absolute Deviation (MAD)199.6152
Skewness0.094712992
Sum28870299
Variance150178.46
MonotonicityNot monotonic
2024-05-11T15:10:11.195637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451112.708897733 2
 
2.9%
450872.934795885 2
 
2.9%
450539.025804368 2
 
2.9%
451106.903130898 2
 
2.9%
451111.22018454 2
 
2.9%
450888.785362222 2
 
2.9%
450131.890199294 1
 
1.4%
451053.148242212 1
 
1.4%
451808.098341971 1
 
1.4%
451751.424132583 1
 
1.4%
Other values (48) 48
69.6%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
450131.890199294 1
1.4%
450404.145064734 1
1.4%
450458.337013025 1
1.4%
450462.783376915 1
1.4%
450503.754799491 1
1.4%
450526.11810499 1
1.4%
450539.025804368 2
2.9%
450685.558704308 1
1.4%
450732.471972874 1
1.4%
450794.31483169 1
1.4%
ValueCountFrequency (%)
451836.458256618 1
1.4%
451808.098341971 1
1.4%
451793.816975812 1
1.4%
451775.169253151 1
1.4%
451765.426505347 1
1.4%
451751.424132583 1
1.4%
451722.35842394 1
1.4%
451705.306153084 1
1.4%
451658.304454683 1
1.4%
451641.738076021 1
1.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
비디오물배급업
62 
<NA>
7 

Length

Max length7
Median length7
Mean length6.6956522
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:11.411114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:11.573879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 62
89.9%
na 7
 
10.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
57 
유통관련업
12 

Length

Max length5
Median length4
Mean length4.173913
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> 57
82.6%
유통관련업 12
 
17.4%

Length

2024-05-11T15:10:11.761476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:11.927388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
82.6%
유통관련업 12
 
17.4%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:12.078074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:12.215462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

제작취급품목내용
Categorical

IMBALANCE 

Distinct10
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size684.0 B
비디오물
51 
<NA>
9 
게임물
 
2
비디오물,DVD
 
1
비디오,DVD
 
1
Other values (5)
 
5

Length

Max length14
Median length4
Mean length4.4347826
Min length3

Unique

Unique7 ?
Unique (%)10.1%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물 51
73.9%
<NA> 9
 
13.0%
게임물 2
 
2.9%
비디오물,DVD 1
 
1.4%
비디오,DVD 1
 
1.4%
책,도서,출판간행 비디오물 1
 
1.4%
비디오영상물 1
 
1.4%
비디오물배급 1
 
1.4%
영화,광고,뮤직비디오 1
 
1.4%
DVD,비디오물 1
 
1.4%

Length

2024-05-11T15:10:12.356659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:12.516321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물 52
74.3%
na 9
 
12.9%
게임물 2
 
2.9%
비디오물,dvd 1
 
1.4%
비디오,dvd 1
 
1.4%
책,도서,출판간행 1
 
1.4%
비디오영상물 1
 
1.4%
비디오물배급 1
 
1.4%
영화,광고,뮤직비디오 1
 
1.4%
dvd,비디오물 1
 
1.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)24.2%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean20.807258
Minimum0
Maximum330
Zeros47
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T15:10:12.662902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile98.15
Maximum330
Range330
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60.458876
Coefficient of variation (CV)2.9056628
Kurtosis15.702602
Mean20.807258
Median Absolute Deviation (MAD)0
Skewness3.8737282
Sum1290.05
Variance3655.2757
MonotonicityNot monotonic
2024-05-11T15:10:12.786812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 47
68.1%
10.0 2
 
2.9%
330.0 1
 
1.4%
99.0 1
 
1.4%
192.0 1
 
1.4%
49.79 1
 
1.4%
64.66 1
 
1.4%
5.0 1
 
1.4%
49.5 1
 
1.4%
59.0 1
 
1.4%
Other values (5) 5
 
7.2%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
0.0 47
68.1%
5.0 1
 
1.4%
10.0 2
 
2.9%
15.0 1
 
1.4%
21.0 1
 
1.4%
33.0 1
 
1.4%
49.5 1
 
1.4%
49.79 1
 
1.4%
59.0 1
 
1.4%
64.66 1
 
1.4%
ValueCountFrequency (%)
330.0 1
1.4%
270.1 1
1.4%
192.0 1
1.4%
99.0 1
1.4%
82.0 1
1.4%
64.66 1
1.4%
59.0 1
1.4%
49.79 1
1.4%
49.5 1
1.4%
33.0 1
1.4%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:12.933617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:13.045718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:13.153867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:13.283208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:13.451460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:13.628129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:13.825879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:13.962409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:14.144816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:14.331225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:14.509098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:14.670776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
0
62 
<NA>
7 

Length

Max length4
Median length1
Mean length1.3043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 62
89.9%
<NA> 7
 
10.1%

Length

2024-05-11T15:10:14.821971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:14.956472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
89.9%
na 7
 
10.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF124111199900000119990909<NA>1영업/정상13영업중<NA><NA><NA><NA>757-3323<NA><NA>서울특별시 중구 태평로*가 ***번지 *** 태평로빌딩 *층서울특별시 중구 세종대로 **, *층 (태평로*가, 태평로빌딩)100102유로넥스트(주)2014-01-02 11:29:11I2018-08-31 23:59:59.0<NA>197816.969772451194.398505비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF124111199900000219991004<NA>1영업/정상13영업중<NA><NA><NA><NA>2277-7789<NA><NA>서울특별시 중구 초동 **번지 초동빌딩 *,*층서울특별시 중구 마른내로*길 **, *층 (초동, 초동빌딩)4555(주)픽도영화사2014-01-02 15:38:10I2018-08-31 23:59:59.0<NA>199245.020605451300.426901비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF124111200000000120000602<NA>1영업/정상13영업중<NA><NA><NA><NA>725-1199<NA><NA>서울특별시 중구 삼각동 ***번지 경기빌딩 ***서울특별시 중구 남대문로**길 *, ***호 (삼각동, 경기빌딩)4540유지에이 코퍼레이션(주)2014-01-02 15:40:22I2018-08-31 23:59:59.0<NA>198448.848429451658.304455비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF124111200000000220000531<NA>1영업/정상13영업중<NA><NA><NA><NA>563-4525<NA><NA>서울특별시 중구 회현동*가 **-*번지 아일빌딩 ***호서울특별시 중구 소공로*길 **, ***호 (회현동*가, 아일빌딩 )4633(주)한국리지텍2014-01-02 15:49:26I2018-08-31 23:59:59.0<NA>198402.001355450526.118105비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF124111200000000320000619<NA>1영업/정상13영업중<NA><NA><NA><NA>779-2486<NA><NA>서울특별시 중구 정동 **-**번지 진섭빌딩 지하*층서울특별시 중구 정동길 *, 지하*층 (정동, 진섭빌딩)4516(주)두리넷2014-01-02 15:50:44I2018-08-31 23:59:59.0<NA>197235.105099451722.358424비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF124111200000000420001018<NA>1영업/정상13영업중<NA><NA><NA><NA>2267-5787<NA><NA>서울특별시 중구 필동*가 **-*번지서울특별시 중구 서애로*길 ** (필동*가)4623(주)유컴미디어2014-01-02 15:51:23I2018-08-31 23:59:59.0<NA>199743.583349450844.527267비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF124111200000000520001208<NA>1영업/정상13영업중<NA><NA><NA><NA>2260-5400<NA><NA>서울특별시 중구 장충동*가 **-*번지 덕양빌딩 *층서울특별시 중구 장충단로 ***, *층 (장충동*가, 덕양빌딩 )4606(주)다이아몬드베이츠2014-01-02 15:53:00I2018-08-31 23:59:59.0<NA>200526.453205451061.489092비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF124111200100000120010427<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100273서울특별시 중구 필동*가 **번지 문화빌딩 ***호서울특별시 중구 퇴계로**길 ** (필동*가,문화빌딩 ***호)<NA>에스브이맥스코리아(주)2007-05-14 18:43:30I2018-08-31 23:59:59.0<NA>199705.336258451004.606432비디오물배급업유통관련업0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF124111200100000220010210<NA>1영업/정상13영업중<NA><NA><NA><NA>2232-3990<NA><NA>서울특별시 중구 신당동 ***-**번지 *층서울특별시 중구 청구로*길 **, *층 (신당동)4586(주)튜울립기획한국지사2014-01-02 15:55:57I2018-08-31 23:59:59.0<NA>201357.668414451110.481711비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF124111200100000320010510<NA>1영업/정상13영업중<NA><NA><NA><NA>578-4546<NA><NA>서울특별시 중구 충무로*가 **-*번지서울특별시 중구 삼일대로*길 ** (충무로*가)4553VSPRO(브이에스프로)2014-01-02 15:56:31I2018-08-31 23:59:59.0<NA>199051.183064451112.708898비디오물배급업<NA>0<NA>비디오물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
593010000CDFF124111201500000720151203<NA>3폐업3폐업20210721<NA><NA><NA>02-2231-6640<NA><NA>서울특별시 중구 신당동 ***-** *층서울특별시 중구 청구로*길 **, *층 (신당동, 현영빌딩)4586애니투아트(주)2021-07-21 14:53:36U2021-07-23 02:40:00.0<NA>201334.590197451061.726937비디오물배급업<NA>0<NA>비디오물10.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
603010000CDFF124111201600000120160705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-737-1854<NA><NA>서울특별시 중구 태평로*가 **-**번지 태성빌딩 ***호서울특별시 중구 세종대로**길 **, ***호 (태평로*가, 태성빌딩)4519(주)유로커뮤니케이션2016-07-05 14:02:41I2018-08-31 23:59:59.0<NA>197814.337747451705.306153비디오물배급업<NA>0<NA>비디오물270.100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
613010000CDFF124111201800000320061017<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2001-8900<NA><NA>서울특별시 중구 충무로*가 **-**번지 평광빌딩서울특별시 중구 퇴계로 ***, 평광빌딩 *층 (충무로*가)4559(주)아트서비스2018-08-23 11:31:22I2018-08-31 23:59:59.0<NA>199829.423597451140.199848비디오물배급업<NA>0<NA>비디오물배급0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
623010000CDFF124111201900000120190805<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-*번지서울특별시 중구 동호로 ***, *층 *호 (신당동)4596주식회사 와이키픽쳐스2019-08-05 10:05:36I2019-08-07 02:21:55.0<NA>200931.446401450131.890199비디오물배급업<NA>0<NA>영화,광고,뮤직비디오15.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
633010000CDFF12411120200000012012-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA>027222693<NA><NA>서울특별시 중구 봉래동*가 ** **층, **층서울특별시 중구 칠패로 **, **층, **층 (봉래동*가)4511(주)프레인글로벌2023-10-27 16:05:29U2022-10-30 22:09:00.0<NA>197554.559529450865.625895<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>
643010000CDFF12411120200000022020-03-18<NA>5제외/삭제/전출15전출2023-09-20<NA><NA><NA><NA><NA><NA>서울특별시 중구 중림동 *** 한국경제신문사 *층 스케일업센터 ***호서울특별시 중구 청파로 ***, 한국경제신문사 *층 스케일업센터 ***호 (중림동)4505(주)윌유엔터테인먼트2023-09-20 15:06:53U2022-12-08 22:03:00.0<NA>197032.923486450872.934796<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>
653010000CDFF124111202000000320140429<NA>1영업/정상13영업중<NA><NA><NA><NA>025847484<NA><NA>서울특별시 중구 필동*가 **번지 충무빌딩 ***호서울특별시 중구 퇴계로 ***, 충무빌딩 ***호 (필동*가)4557(주)피터팬픽쳐스2020-06-04 14:51:51I2020-06-06 00:23:18.0<NA>199393.748062451020.317219비디오물배급업<NA>0<NA>DVD,비디오물82.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
663010000CDFF124111202100000120190805<NA>1영업/정상13영업중<NA><NA><NA><NA>0264979189<NA><NA>서울특별시 중구 태평로*가 ** 파이낸스빌딩 *층서울특별시 중구 세종대로 ***, 파이낸스빌딩 *층 (태평로*가)4520스튜디오엘론 주식회사2022-06-23 14:18:25U2021-12-05 22:05:00.0<NA>197963.789217451793.816976<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>
673010000CDFF124111202200000120220923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 수하동 66 FERRUM TOWER서울특별시 중구 을지로5길 19, FERRUM TOWER 23층 (수하동)4539파라마운트글로벌코리아 유한회사2022-12-28 10:36:35I2021-11-01 21:00:00.0<NA>198516.189193451641.738076<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>
683010000CDFF12411120230000012023-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8648-1828<NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터 ****호서울특별시 중구 청계천로 **, 한국관광공사 서울센터 **층 ****호 (다동)4521(주)아리아 스튜디오2023-10-30 16:36:24U2022-11-01 00:01:00.0<NA>198306.905839451808.098342<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>