Overview

Dataset statistics

Number of variables56
Number of observations58
Missing cells1524
Missing cells (%)46.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.7 KiB
Average record size in memory488.3 B

Variable types

Categorical19
Text8
DateTime3
Unsupported22
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17268/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
도로명우편번호 is highly imbalanced (69.0%)Imbalance
데이터갱신구분 is highly imbalanced (52.0%)Imbalance
데이터갱신일자 is highly imbalanced (69.5%)Imbalance
문화체육업종명 is highly imbalanced (70.6%)Imbalance
총층수 is highly imbalanced (68.0%)Imbalance
지상층수 is highly imbalanced (68.0%)Imbalance
지하층수 is highly imbalanced (68.0%)Imbalance
통로너비 is highly imbalanced (70.6%)Imbalance
조명시설조도 is highly imbalanced (70.6%)Imbalance
노래방실수 is highly imbalanced (70.6%)Imbalance
청소년실수 is highly imbalanced (70.6%)Imbalance
총게임기수 is highly imbalanced (70.6%)Imbalance
인허가취소일자 has 58 (100.0%) missing valuesMissing
폐업일자 has 2 (3.4%) missing valuesMissing
휴업시작일자 has 58 (100.0%) missing valuesMissing
휴업종료일자 has 58 (100.0%) missing valuesMissing
재개업일자 has 58 (100.0%) missing valuesMissing
전화번호 has 38 (65.5%) missing valuesMissing
소재지면적 has 58 (100.0%) missing valuesMissing
소재지우편번호 has 32 (55.2%) missing valuesMissing
도로명주소 has 3 (5.2%) missing valuesMissing
업태구분명 has 58 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.7%) missing valuesMissing
좌표정보(Y) has 1 (1.7%) missing valuesMissing
주변환경명 has 57 (98.3%) missing valuesMissing
제작취급품목내용 has 58 (100.0%) missing valuesMissing
시설면적 has 3 (5.2%) missing valuesMissing
건물용도명 has 54 (93.1%) missing valuesMissing
비상계단여부 has 58 (100.0%) missing valuesMissing
비상구여부 has 58 (100.0%) missing valuesMissing
자동환기여부 has 58 (100.0%) missing valuesMissing
청소년실여부 has 58 (100.0%) missing valuesMissing
특수조명여부 has 58 (100.0%) missing valuesMissing
방음시설여부 has 58 (100.0%) missing valuesMissing
조명시설유무 has 58 (100.0%) missing valuesMissing
음향시설여부 has 58 (100.0%) missing valuesMissing
편의시설여부 has 58 (100.0%) missing valuesMissing
소방시설여부 has 58 (100.0%) missing valuesMissing
기존게임업외업종명 has 58 (100.0%) missing valuesMissing
제공게임물명 has 58 (100.0%) missing valuesMissing
공연장형태구분명 has 58 (100.0%) missing valuesMissing
품목명 has 58 (100.0%) missing valuesMissing
최초등록시점 has 58 (100.0%) missing valuesMissing
지역구분명 has 57 (98.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 35 (60.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:05:14.576146
Analysis finished2024-05-11 06:05:15.531025
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
3010000
58 

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 58
100.0%

Length

2024-05-11T06:05:15.730278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:16.061143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 58
100.0%

관리번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T06:05:16.574793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1160
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

Unique58 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
1.7%
cdff1242012003000001 1
 
1.7%
cdff1242012018000001 1
 
1.7%
cdff1242012000000005 1
 
1.7%
cdff1242012000000006 1
 
1.7%
cdff1242012000000007 1
 
1.7%
cdff1242012001000001 1
 
1.7%
cdff1242012001000002 1
 
1.7%
cdff1242012002000001 1
 
1.7%
cdff1242012002000002 1
 
1.7%
Other values (48) 48
82.8%
2024-05-11T06:05:17.746974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 407
35.1%
1 173
14.9%
2 167
14.4%
F 116
 
10.0%
4 66
 
5.7%
C 58
 
5.0%
D 58
 
5.0%
9 57
 
4.9%
6 20
 
1.7%
3 12
 
1.0%
Other values (3) 26
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 928
80.0%
Uppercase Letter 232
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 407
43.9%
1 173
18.6%
2 167
18.0%
4 66
 
7.1%
9 57
 
6.1%
6 20
 
2.2%
3 12
 
1.3%
7 11
 
1.2%
8 8
 
0.9%
5 7
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 116
50.0%
C 58
25.0%
D 58
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 928
80.0%
Latin 232
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 407
43.9%
1 173
18.6%
2 167
18.0%
4 66
 
7.1%
9 57
 
6.1%
6 20
 
2.2%
3 12
 
1.3%
7 11
 
1.2%
8 8
 
0.9%
5 7
 
0.8%
Latin
ValueCountFrequency (%)
F 116
50.0%
C 58
25.0%
D 58
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 407
35.1%
1 173
14.9%
2 167
14.4%
F 116
 
10.0%
4 66
 
5.7%
C 58
 
5.0%
D 58
 
5.0%
9 57
 
4.9%
6 20
 
1.7%
3 12
 
1.0%
Other values (3) 26
 
2.2%

인허가일자
Date

Distinct50
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum1996-08-30 00:00:00
Maximum2021-12-20 00:00:00
2024-05-11T06:05:18.526986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:19.062490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
3
41 
4
16 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 41
70.7%
4 16
 
27.6%
1 1
 
1.7%

Length

2024-05-11T06:05:19.676692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:20.006918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
70.7%
4 16
 
27.6%
1 1
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
폐업
41 
취소/말소/만료/정지/중지
16 
영업/정상
 
1

Length

Max length14
Median length2
Mean length5.362069
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 41
70.7%
취소/말소/만료/정지/중지 16
 
27.6%
영업/정상 1
 
1.7%

Length

2024-05-11T06:05:20.444655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:20.958430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
70.7%
취소/말소/만료/정지/중지 16
 
27.6%
영업/정상 1
 
1.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
3
41 
35
16 
13
 
1

Length

Max length2
Median length1
Mean length1.2931034
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 41
70.7%
35 16
 
27.6%
13 1
 
1.7%

Length

2024-05-11T06:05:21.315481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:21.755565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
70.7%
35 16
 
27.6%
13 1
 
1.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
폐업
41 
직권말소
16 
영업중
 
1

Length

Max length4
Median length2
Mean length2.5689655
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 41
70.7%
직권말소 16
 
27.6%
영업중 1
 
1.7%

Length

2024-05-11T06:05:22.490128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:23.005835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
70.7%
직권말소 16
 
27.6%
영업중 1
 
1.7%

폐업일자
Date

MISSING 

Distinct44
Distinct (%)78.6%
Missing2
Missing (%)3.4%
Memory size596.0 B
Minimum2000-01-19 00:00:00
Maximum2023-05-17 00:00:00
2024-05-11T06:05:23.532712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:24.229726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing38
Missing (%)65.5%
Memory size596.0 B
2024-05-11T06:05:24.915822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.55
Min length5

Characters and Unicode

Total characters171
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

Unique20 ?
Unique (%)100.0%

Sample

1st row2265-2283
2nd row2237-3938
3rd row2253-
4th row02-756-8367
5th row752-4719
ValueCountFrequency (%)
2265-2283 1
 
5.0%
2237-3938 1
 
5.0%
758-5169 1
 
5.0%
2237-2467 1
 
5.0%
776-6841 1
 
5.0%
777-4280 1
 
5.0%
778-2746 1
 
5.0%
2264-6384 1
 
5.0%
76-2031 1
 
5.0%
771-0267 1
 
5.0%
Other values (10) 10
50.0%
2024-05-11T06:05:25.975668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28
16.4%
7 27
15.8%
- 23
13.5%
6 20
11.7%
5 15
8.8%
8 12
7.0%
3 12
7.0%
0 10
 
5.8%
1 10
 
5.8%
4 9
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148
86.5%
Dash Punctuation 23
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 28
18.9%
7 27
18.2%
6 20
13.5%
5 15
10.1%
8 12
8.1%
3 12
8.1%
0 10
 
6.8%
1 10
 
6.8%
4 9
 
6.1%
9 5
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 28
16.4%
7 27
15.8%
- 23
13.5%
6 20
11.7%
5 15
8.8%
8 12
7.0%
3 12
7.0%
0 10
 
5.8%
1 10
 
5.8%
4 9
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28
16.4%
7 27
15.8%
- 23
13.5%
6 20
11.7%
5 15
8.8%
8 12
7.0%
3 12
7.0%
0 10
 
5.8%
1 10
 
5.8%
4 9
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)65.4%
Missing32
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean100647.88
Minimum100011
Maximum100887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T06:05:26.682659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100011.5
Q1100422.5
median100810
Q3100842.25
95-th percentile100867
Maximum100887
Range876
Interquartile range (IQR)419.75

Descriptive statistics

Standard deviation299.79771
Coefficient of variation (CV)0.0029786787
Kurtosis0.10954404
Mean100647.88
Median Absolute Deviation (MAD)41
Skewness-1.260185
Sum2616845
Variance89878.666
MonotonicityNot monotonic
2024-05-11T06:05:27.411505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
100810 4
 
6.9%
100809 3
 
5.2%
100011 2
 
3.4%
100420 2
 
3.4%
100861 2
 
3.4%
100851 2
 
3.4%
100800 1
 
1.7%
100887 1
 
1.7%
100819 1
 
1.7%
100430 1
 
1.7%
Other values (7) 7
 
12.1%
(Missing) 32
55.2%
ValueCountFrequency (%)
100011 2
3.4%
100013 1
 
1.7%
100272 1
 
1.7%
100300 1
 
1.7%
100420 2
3.4%
100430 1
 
1.7%
100800 1
 
1.7%
100809 3
5.2%
100810 4
6.9%
100819 1
 
1.7%
ValueCountFrequency (%)
100887 1
 
1.7%
100869 1
 
1.7%
100861 2
3.4%
100851 2
3.4%
100845 1
 
1.7%
100834 1
 
1.7%
100823 1
 
1.7%
100819 1
 
1.7%
100810 4
6.9%
100809 3
5.2%

지번주소
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T06:05:28.283894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.12069
Min length18

Characters and Unicode

Total characters1399
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)96.6%

Sample

1st row서울특별시 중구 흥인동 135번지 ,136
2nd row서울특별시 중구 명동2가 55-5번지
3rd row서울특별시 중구 장충동2가 187-3번지
4th row서울특별시 중구 충무로4가 116-10번지
5th row서울특별시 중구 무학동 22번지
ValueCountFrequency (%)
서울특별시 58
21.7%
중구 58
21.7%
명동2가 14
 
5.2%
을지로6가 8
 
3.0%
신당동 7
 
2.6%
4층 5
 
1.9%
충무로1가 5
 
1.9%
지상 3
 
1.1%
충무로2가 3
 
1.1%
55-5번지 2
 
0.7%
Other values (86) 104
39.0%
2024-05-11T06:05:30.291894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
18.9%
지 79
 
5.6%
2 61
 
4.4%
1 61
 
4.4%
중 59
 
4.2%
서 58
 
4.1%
특 58
 
4.1%
별 58
 
4.1%
시 58
 
4.1%
구 58
 
4.1%
Other values (46) 585
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 788
56.3%
Decimal Number 289
 
20.7%
Space Separator 264
 
18.9%
Dash Punctuation 53
 
3.8%
Other Punctuation 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 79
 
10.0%
중 59
 
7.5%
서 58
 
7.4%
특 58
 
7.4%
별 58
 
7.4%
시 58
 
7.4%
구 58
 
7.4%
울 58
 
7.4%
번 53
 
6.7%
가 43
 
5.5%
Other values (32) 206
26.1%
Decimal Number
ValueCountFrequency (%)
2 61
21.1%
1 61
21.1%
3 37
12.8%
5 33
11.4%
4 26
9.0%
6 20
 
6.9%
7 16
 
5.5%
8 14
 
4.8%
0 11
 
3.8%
9 10
 
3.5%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 788
56.3%
Common 611
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 79
 
10.0%
중 59
 
7.5%
서 58
 
7.4%
특 58
 
7.4%
별 58
 
7.4%
시 58
 
7.4%
구 58
 
7.4%
울 58
 
7.4%
번 53
 
6.7%
가 43
 
5.5%
Other values (32) 206
26.1%
Common
ValueCountFrequency (%)
264
43.2%
2 61
 
10.0%
1 61
 
10.0%
- 53
 
8.7%
3 37
 
6.1%
5 33
 
5.4%
4 26
 
4.3%
6 20
 
3.3%
7 16
 
2.6%
8 14
 
2.3%
Other values (4) 26
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 788
56.3%
ASCII 611
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
43.2%
2 61
 
10.0%
1 61
 
10.0%
- 53
 
8.7%
3 37
 
6.1%
5 33
 
5.4%
4 26
 
4.3%
6 20
 
3.3%
7 16
 
2.6%
8 14
 
2.3%
Other values (4) 26
 
4.3%
Hangul
ValueCountFrequency (%)
지 79
 
10.0%
중 59
 
7.5%
서 58
 
7.4%
특 58
 
7.4%
별 58
 
7.4%
시 58
 
7.4%
구 58
 
7.4%
울 58
 
7.4%
번 53
 
6.7%
가 43
 
5.5%
Other values (32) 206
26.1%

도로명주소
Text

MISSING 

Distinct54
Distinct (%)98.2%
Missing3
Missing (%)5.2%
Memory size596.0 B
2024-05-11T06:05:30.967364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length27.218182
Min length20

Characters and Unicode

Total characters1497
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)96.4%

Sample

1st row서울특별시 중구 명동4길 2 (명동2가)
2nd row서울특별시 중구 동호로24길 27-5 (장충동2가)
3rd row서울특별시 중구 퇴계로 220 (충무로4가)
4th row서울특별시 중구 다산로 225 (무학동)
5th row서울특별시 중구 다산로 129 (신당동)
ValueCountFrequency (%)
서울특별시 55
19.6%
중구 55
19.6%
퇴계로 8
 
2.8%
명동2가 8
 
2.8%
명동4길 7
 
2.5%
을지로6가 4
 
1.4%
장충단로13길 4
 
1.4%
명동8나길 4
 
1.4%
명동8길 4
 
1.4%
2 3
 
1.1%
Other values (101) 129
45.9%
2024-05-11T06:05:32.155466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
 
17.2%
2 60
 
4.0%
서 57
 
3.8%
동 57
 
3.8%
중 56
 
3.7%
로 55
 
3.7%
울 55
 
3.7%
( 55
 
3.7%
) 55
 
3.7%
구 55
 
3.7%
Other values (62) 735
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 836
55.8%
Space Separator 257
 
17.2%
Decimal Number 248
 
16.6%
Open Punctuation 55
 
3.7%
Close Punctuation 55
 
3.7%
Other Punctuation 32
 
2.1%
Dash Punctuation 13
 
0.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 57
 
6.8%
동 57
 
6.8%
중 56
 
6.7%
로 55
 
6.6%
울 55
 
6.6%
구 55
 
6.6%
특 55
 
6.6%
시 55
 
6.6%
별 55
 
6.6%
가 46
 
5.5%
Other values (46) 290
34.7%
Decimal Number
ValueCountFrequency (%)
2 60
24.2%
1 45
18.1%
4 35
14.1%
3 33
13.3%
8 17
 
6.9%
6 17
 
6.9%
5 15
 
6.0%
7 10
 
4.0%
0 10
 
4.0%
9 6
 
2.4%
Space Separator
ValueCountFrequency (%)
257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 836
55.8%
Common 661
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 57
 
6.8%
동 57
 
6.8%
중 56
 
6.7%
로 55
 
6.6%
울 55
 
6.6%
구 55
 
6.6%
특 55
 
6.6%
시 55
 
6.6%
별 55
 
6.6%
가 46
 
5.5%
Other values (46) 290
34.7%
Common
ValueCountFrequency (%)
257
38.9%
2 60
 
9.1%
( 55
 
8.3%
) 55
 
8.3%
1 45
 
6.8%
4 35
 
5.3%
3 33
 
5.0%
, 32
 
4.8%
8 17
 
2.6%
6 17
 
2.6%
Other values (6) 55
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 836
55.8%
ASCII 661
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
38.9%
2 60
 
9.1%
( 55
 
8.3%
) 55
 
8.3%
1 45
 
6.8%
4 35
 
5.3%
3 33
 
5.0%
, 32
 
4.8%
8 17
 
2.6%
6 17
 
2.6%
Other values (6) 55
 
8.3%
Hangul
ValueCountFrequency (%)
서 57
 
6.8%
동 57
 
6.8%
중 56
 
6.7%
로 55
 
6.6%
울 55
 
6.6%
구 55
 
6.6%
특 55
 
6.6%
시 55
 
6.6%
별 55
 
6.6%
가 46
 
5.5%
Other values (46) 290
34.7%

도로명우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
51 
4624
 
2
4564
 
2
100015
 
1
4507
 
1

Length

Max length6
Median length4
Mean length4.0689655
Min length4

Unique

Unique3 ?
Unique (%)5.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
87.9%
4624 2
 
3.4%
4564 2
 
3.4%
100015 1
 
1.7%
4507 1
 
1.7%
100300 1
 
1.7%

Length

2024-05-11T06:05:32.670706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:33.046215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
87.9%
4624 2
 
3.4%
4564 2
 
3.4%
100015 1
 
1.7%
4507 1
 
1.7%
100300 1
 
1.7%

사업장명
Text

Distinct54
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T06:05:33.750798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length5.5689655
Min length1

Characters and Unicode

Total characters323
Distinct characters98
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

Unique50 ?
Unique (%)86.2%

Sample

1st row영화마을
2nd row시네마천국
3rd row팡팡비디오감상실
4th row씨네트
5th row25시
ValueCountFrequency (%)
상류영상 2
 
3.1%
25시 2
 
3.1%
허리우드 2
 
3.1%
시네마천국 2
 
3.1%
씨네트 2
 
3.1%
동국 2
 
3.1%
새천년 1
 
1.5%
비디오감상실 1
 
1.5%
골든벨 1
 
1.5%
커플죤 1
 
1.5%
Other values (49) 49
75.4%
2024-05-11T06:05:35.131742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 21
 
6.5%
오 21
 
6.5%
디 21
 
6.5%
상 16
 
5.0%
방 13
 
4.0%
D 12
 
3.7%
실 10
 
3.1%
감 10
 
3.1%
영 10
 
3.1%
화 9
 
2.8%
Other values (88) 180
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
88.9%
Uppercase Letter 21
 
6.5%
Space Separator 7
 
2.2%
Decimal Number 6
 
1.9%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 21
 
7.3%
오 21
 
7.3%
디 21
 
7.3%
상 16
 
5.6%
방 13
 
4.5%
실 10
 
3.5%
감 10
 
3.5%
영 10
 
3.5%
화 9
 
3.1%
마 8
 
2.8%
Other values (79) 148
51.6%
Uppercase Letter
ValueCountFrequency (%)
D 12
57.1%
V 6
28.6%
T 2
 
9.5%
O 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
88.9%
Latin 21
 
6.5%
Common 15
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 21
 
7.3%
오 21
 
7.3%
디 21
 
7.3%
상 16
 
5.6%
방 13
 
4.5%
실 10
 
3.5%
감 10
 
3.5%
영 10
 
3.5%
화 9
 
3.1%
마 8
 
2.8%
Other values (79) 148
51.6%
Common
ValueCountFrequency (%)
7
46.7%
2 4
26.7%
5 2
 
13.3%
( 1
 
6.7%
) 1
 
6.7%
Latin
ValueCountFrequency (%)
D 12
57.1%
V 6
28.6%
T 2
 
9.5%
O 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
88.9%
ASCII 36
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 21
 
7.3%
오 21
 
7.3%
디 21
 
7.3%
상 16
 
5.6%
방 13
 
4.5%
실 10
 
3.5%
감 10
 
3.5%
영 10
 
3.5%
화 9
 
3.1%
마 8
 
2.8%
Other values (79) 148
51.6%
ASCII
ValueCountFrequency (%)
D 12
33.3%
7
19.4%
V 6
16.7%
2 4
 
11.1%
T 2
 
5.6%
5 2
 
5.6%
( 1
 
2.8%
O 1
 
2.8%
) 1
 
2.8%

최종수정일자
Date

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2003-02-11 18:21:03
Maximum2023-06-26 16:04:16
2024-05-11T06:05:35.694397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:05:36.304963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
I
52 
U
6 

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 52
89.7%
U 6
 
10.3%

Length

2024-05-11T06:05:36.737049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:37.115076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 52
89.7%
u 6
 
10.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2018-08-31 23:59:59.0
51 
2022-12-05 22:08:00.0
 
3
2018-12-19 02:40:00.0
 
1
2021-11-19 02:40:00.0
 
1
2019-12-04 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique4 ?
Unique (%)6.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 51
87.9%
2022-12-05 22:08:00.0 3
 
5.2%
2018-12-19 02:40:00.0 1
 
1.7%
2021-11-19 02:40:00.0 1
 
1.7%
2019-12-04 02:40:00.0 1
 
1.7%
2021-12-22 00:22:42.0 1
 
1.7%

Length

2024-05-11T06:05:37.622434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:37.956380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 51
44.0%
23:59:59.0 51
44.0%
2022-12-05 3
 
2.6%
22:08:00.0 3
 
2.6%
02:40:00.0 3
 
2.6%
2018-12-19 1
 
0.9%
2021-11-19 1
 
0.9%
2019-12-04 1
 
0.9%
2021-12-22 1
 
0.9%
00:22:42.0 1
 
0.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean199456.02
Minimum197192.21
Maximum201599.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T06:05:38.358708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197192.21
5-th percentile197851.02
Q1198533.45
median198647.85
Q3200624.81
95-th percentile201457.71
Maximum201599.74
Range4407.5256
Interquartile range (IQR)2091.3548

Descriptive statistics

Standard deviation1206.122
Coefficient of variation (CV)0.0060470572
Kurtosis-1.1810419
Mean199456.02
Median Absolute Deviation (MAD)746.2626
Skewness0.35379725
Sum11368993
Variance1454730.2
MonotonicityNot monotonic
2024-05-11T06:05:38.871831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
200640.845642848 3
 
5.2%
198467.126665171 2
 
3.4%
199746.645312991 2
 
3.4%
198525.98798343 2
 
3.4%
198533.453475093 2
 
3.4%
197648.711139571 2
 
3.4%
200878.394667189 2
 
3.4%
199598.919267432 2
 
3.4%
201578.800256797 1
 
1.7%
198511.414257246 1
 
1.7%
Other values (38) 38
65.5%
ValueCountFrequency (%)
197192.212610749 1
1.7%
197648.711139571 2
3.4%
197901.591381115 1
1.7%
198454.072987668 1
1.7%
198467.126665171 2
3.4%
198488.310797449 1
1.7%
198493.311043546 1
1.7%
198507.410787923 1
1.7%
198511.414257246 1
1.7%
198525.98798343 2
3.4%
ValueCountFrequency (%)
201599.738185477 1
1.7%
201585.646021087 1
1.7%
201578.800256797 1
1.7%
201427.442557243 1
1.7%
201287.090009249 1
1.7%
201266.198733898 1
1.7%
201223.186772171 1
1.7%
201125.519016657 1
1.7%
200878.394667189 2
3.4%
200687.571671602 1
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean451199.16
Minimum450351.57
Maximum451867.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T06:05:39.265082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450351.57
5-th percentile450658.97
Q1451027.76
median451191.23
Q3451377.79
95-th percentile451721.92
Maximum451867.37
Range1515.8033
Interquartile range (IQR)350.02515

Descriptive statistics

Standard deviation328.50568
Coefficient of variation (CV)0.00072807246
Kurtosis0.50521549
Mean451199.16
Median Absolute Deviation (MAD)171.54508
Skewness-0.32741454
Sum25718352
Variance107915.98
MonotonicityNot monotonic
2024-05-11T06:05:39.772352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
451721.924344597 3
 
5.2%
451240.860896184 2
 
3.4%
451016.950292809 2
 
3.4%
451080.073936002 2
 
3.4%
451030.50538952 2
 
3.4%
450684.084460906 2
 
3.4%
450351.569145494 2
 
3.4%
451027.764382279 2
 
3.4%
451446.791496246 1
 
1.7%
451155.719661173 1
 
1.7%
Other values (38) 38
65.5%
ValueCountFrequency (%)
450351.569145494 2
3.4%
450558.528407008 1
1.7%
450684.084460906 2
3.4%
450686.259849211 1
1.7%
450908.382396408 1
1.7%
450909.227027383 1
1.7%
451005.721641592 1
1.7%
451014.440798299 1
1.7%
451016.950292809 2
3.4%
451026.93001938 1
1.7%
ValueCountFrequency (%)
451867.372461174 1
 
1.7%
451726.759418737 1
 
1.7%
451721.924344597 3
5.2%
451714.166004408 1
 
1.7%
451713.374319666 1
 
1.7%
451610.393543107 1
 
1.7%
451579.099838143 1
 
1.7%
451516.994656249 1
 
1.7%
451465.180260726 1
 
1.7%
451446.791496246 1
 
1.7%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
비디오물감상실업
55 
<NA>
 
3

Length

Max length8
Median length8
Mean length7.7931034
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 55
94.8%
<NA> 3
 
5.2%

Length

2024-05-11T06:05:40.307941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:40.782243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 55
94.8%
na 3
 
5.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
31 
유통관련업
27 

Length

Max length5
Median length4
Mean length4.4655172
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
53.4%
유통관련업 27
46.6%

Length

2024-05-11T06:05:41.163473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:41.506265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
53.4%
유통관련업 27
46.6%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
53 
<NA>
 
3
5
 
2

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 53
91.4%
<NA> 3
 
5.2%
5 2
 
3.4%

Length

2024-05-11T06:05:41.850497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:42.246804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
91.4%
na 3
 
5.2%
5 2
 
3.4%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing57
Missing (%)98.3%
Memory size596.0 B
2024-05-11T06:05:42.439115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T06:05:43.303935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)38.2%
Missing3
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean79.702182
Minimum0
Maximum2008.08
Zeros35
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T06:05:43.685609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q393.915
95-th percentile202.389
Maximum2008.08
Range2008.08
Interquartile range (IQR)93.915

Descriptive statistics

Standard deviation273.63599
Coefficient of variation (CV)3.4332308
Kurtosis47.886545
Mean79.702182
Median Absolute Deviation (MAD)0
Skewness6.7242092
Sum4383.62
Variance74876.653
MonotonicityNot monotonic
2024-05-11T06:05:44.081160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 35
60.3%
148.0 1
 
1.7%
91.9 1
 
1.7%
81.88 1
 
1.7%
108.1 1
 
1.7%
81.0 1
 
1.7%
94.68 1
 
1.7%
2008.08 1
 
1.7%
128.88 1
 
1.7%
153.42 1
 
1.7%
Other values (11) 11
 
19.0%
(Missing) 3
 
5.2%
ValueCountFrequency (%)
0.0 35
60.3%
57.64 1
 
1.7%
66.0 1
 
1.7%
81.0 1
 
1.7%
81.88 1
 
1.7%
91.9 1
 
1.7%
93.15 1
 
1.7%
94.68 1
 
1.7%
95.6 1
 
1.7%
98.6 1
 
1.7%
ValueCountFrequency (%)
2008.08 1
1.7%
283.72 1
1.7%
254.63 1
1.7%
180.0 1
1.7%
153.42 1
1.7%
148.0 1
1.7%
128.88 1
1.7%
126.28 1
1.7%
123.2 1
1.7%
108.86 1
1.7%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
53 
<NA>
 
3
4
 
2

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 53
91.4%
<NA> 3
 
5.2%
4 2
 
3.4%

Length

2024-05-11T06:05:44.633326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:45.161829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
91.4%
na 3
 
5.2%
4 2
 
3.4%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
53 
<NA>
 
3
1
 
2

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 53
91.4%
<NA> 3
 
5.2%
1 2
 
3.4%

Length

2024-05-11T06:05:46.039867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:46.480036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
91.4%
na 3
 
5.2%
1 2
 
3.4%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing54
Missing (%)93.1%
Memory size596.0 B
2024-05-11T06:05:46.995967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5
Min length2

Characters and Unicode

Total characters20
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row기타
4th row근린생활시설
ValueCountFrequency (%)
근린생활시설 3
75.0%
기타 1
 
25.0%
2024-05-11T06:05:48.149360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 3
15.0%
린 3
15.0%
생 3
15.0%
활 3
15.0%
시 3
15.0%
설 3
15.0%
기 1
 
5.0%
타 1
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 3
15.0%
린 3
15.0%
생 3
15.0%
활 3
15.0%
시 3
15.0%
설 3
15.0%
기 1
 
5.0%
타 1
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 3
15.0%
린 3
15.0%
생 3
15.0%
활 3
15.0%
시 3
15.0%
설 3
15.0%
기 1
 
5.0%
타 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 3
15.0%
린 3
15.0%
생 3
15.0%
활 3
15.0%
시 3
15.0%
설 3
15.0%
기 1
 
5.0%
타 1
 
5.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
55 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
94.8%
<NA> 3
 
5.2%

Length

2024-05-11T06:05:48.717869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:49.183514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
94.8%
na 3
 
5.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
55 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
94.8%
<NA> 3
 
5.2%

Length

2024-05-11T06:05:49.695788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:50.114959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
94.8%
na 3
 
5.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
55 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
94.8%
<NA> 3
 
5.2%

Length

2024-05-11T06:05:50.691990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:51.055533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
94.8%
na 3
 
5.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
55 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
94.8%
<NA> 3
 
5.2%

Length

2024-05-11T06:05:51.433545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:51.782415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
94.8%
na 3
 
5.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
자동
34 
<NA>
24 

Length

Max length4
Median length2
Mean length2.8275862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 34
58.6%
<NA> 24
41.4%

Length

2024-05-11T06:05:52.146527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:52.546771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 34
58.6%
na 24
41.4%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
55 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
94.8%
<NA> 3
 
5.2%

Length

2024-05-11T06:05:53.079972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:05:53.547492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
94.8%
na 3
 
5.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing57
Missing (%)98.3%
Memory size596.0 B
2024-05-11T06:05:53.862741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상업지역
ValueCountFrequency (%)
상업지역 1
100.0%
2024-05-11T06:05:54.940624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF124201199600000119960830<NA>3폐업3폐업20030516<NA><NA><NA><NA><NA>100430서울특별시 중구 흥인동 135번지 ,136<NA><NA>영화마을2003-05-16 15:21:52I2018-08-31 23:59:59.0<NA><NA><NA>비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF124201199600000219960830<NA>3폐업3폐업20070917<NA><NA><NA><NA><NA>100810서울특별시 중구 명동2가 55-5번지서울특별시 중구 명동4길 2 (명동2가)<NA>시네마천국2007-09-17 17:00:59I2018-08-31 23:59:59.0<NA>198467.126665451240.860896비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF124201199600000319960830<NA>4취소/말소/만료/정지/중지35직권말소20160426<NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동2가 187-3번지서울특별시 중구 동호로24길 27-5 (장충동2가)<NA>팡팡비디오감상실2016-04-29 13:18:25I2018-08-31 23:59:59.0<NA>200382.183303450908.382396비디오물감상실업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF124201199600000419960830<NA>3폐업3폐업20180105<NA><NA><NA>2265-2283<NA><NA>서울특별시 중구 충무로4가 116-10번지서울특별시 중구 퇴계로 220 (충무로4가)<NA>씨네트2018-01-05 15:51:04I2018-08-31 23:59:59.0<NA>199598.919267451027.764382비디오물감상실업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF124201199600000519960905<NA>3폐업3폐업20070515<NA><NA><NA><NA><NA>100420서울특별시 중구 무학동 22번지서울특별시 중구 다산로 225 (무학동)<NA>25시2007-05-15 14:24:22I2018-08-31 23:59:59.0<NA>201287.090009451234.946235비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF124201199600000619960905<NA>3폐업3폐업20061127<NA><NA><NA>2237-3938<NA>100834서울특별시 중구 신당동 374-27번지서울특별시 중구 다산로 129 (신당동)<NA>참새비디오방2006-11-27 15:46:43I2018-08-31 23:59:59.0<NA>200878.394667450351.569145비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF124201199600000719960906<NA>3폐업3폐업20000629<NA><NA><NA><NA><NA>100845서울특별시 중구 을지로2가 199-41번지 황해빌딩서울특별시 중구 명동7길 19 (을지로2가,황해빌딩)<NA>명동비디오감상실2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>198536.723008451375.343476비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF124201199600000819960912<NA>3폐업3폐업20060925<NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로5가 84-1번지서울특별시 중구 서애로 8 (충무로5가)100015동국2014-01-03 08:54:13I2018-08-31 23:59:59.0<NA>199746.645313451016.950293비디오물감상실업<NA>0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF124201199600000919960912<NA>3폐업3폐업20120516<NA><NA><NA><NA><NA>100869서울특별시 중구 황학동 737번지서울특별시 중구 퇴계로 423-6 (황학동)<NA>공간비디오감상실2012-05-16 14:44:46I2018-08-31 23:59:59.0<NA>201585.646021451516.994656비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF124201199600001019960912<NA>3폐업3폐업20020909<NA><NA><NA><NA><NA>100272서울특별시 중구 필동2가 15-2번지서울특별시 중구 퇴계로 210 (필동2가)<NA>씨티2003-08-19 16:01:02I2018-08-31 23:59:59.0<NA>199562.772927451300.183411비디오물감상실업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
483010000CDFF124201200500000220050525<NA>3폐업3폐업20100720<NA><NA><NA>758-5169<NA><NA>서울특별시 중구 장충동2가 187-21번지 4층서울특별시 중구 동호로24길 27-3 (장충동2가,4층)<NA>비트맥스DVD영화관2010-07-20 14:59:18I2018-08-31 23:59:59.0<NA>200393.824962450909.227027비디오물감상실업<NA>0<NA><NA>93.1500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
493010000CDFF124201200700000120070105<NA>3폐업3폐업20101230<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 120-24번지 지상 3층서울특별시 중구 퇴계로84길 6 (신당동,지상 3층)<NA>매직 DVD감상실2010-12-30 13:33:55I2018-08-31 23:59:59.0<NA>201578.800257451446.791496비디오물감상실업<NA>0기타<NA>153.4200기타0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>상업지역
503010000CDFF12420120070000022007-01-30<NA>4취소/말소/만료/정지/중지35직권말소2023-05-17<NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로5가 84-1 지상 2층서울특별시 중구 서애로 8, 2층 (충무로5가)4624동국 영화방2023-06-26 16:04:01U2022-12-05 22:08:00.0<NA>199746.645313451016.950293<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513010000CDFF12420120070000032007-03-16<NA>4취소/말소/만료/정지/중지35직권말소2023-05-17<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 374-27 지하 1층서울특별시 중구 다산로 129 (신당동,지하 1층)<NA>필란디아 DVD 영화관2023-06-26 16:04:16U2022-12-05 22:08:00.0<NA>200878.394667450351.569145<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523010000CDFF124201200800000120080430<NA>4취소/말소/만료/정지/중지35직권말소20160426<NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로1가 23-15번지 4층서울특별시 중구 명동8나길 14 (충무로1가,4층)<NA>상류영상2016-04-29 13:27:18I2018-08-31 23:59:59.0<NA>198533.453475451030.50539비디오물감상실업<NA>0<NA><NA>128.8800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
533010000CDFF124201200800000220081021<NA>3폐업3폐업20101206<NA><NA><NA><NA><NA><NA>서울특별시 중구 명동2가 55-5번지 지상 3~4층서울특별시 중구 명동4길 2 (명동2가,지상 3~4층)<NA>골든벨 비디오감상실2010-12-06 15:06:33I2018-08-31 23:59:59.0<NA>198467.126665451240.860896비디오물감상실업<NA>0<NA><NA>2008.0800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
543010000CDFF124201201200000120120730<NA>3폐업3폐업20140626<NA><NA><NA><NA><NA><NA>서울특별시 중구 초동 19-2번지 지상2층서울특별시 중구 충무로 39 (초동)100300유럽비디오방2014-06-26 13:16:12I2018-08-31 23:59:59.0<NA>199279.173645451377.789534비디오물감상실업<NA>0<NA><NA>94.6800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
553010000CDFF124201201700000120170323<NA>4취소/말소/만료/정지/중지35직권말소20211117<NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로6가 18-96서울특별시 중구 장충단로13길 11 (을지로6가)4564레트로시네마2021-11-17 11:34:06U2021-11-19 02:40:00.0<NA>200640.845643451721.924345비디오물감상실업<NA>5<NA><NA>81.041근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
563010000CDFF124201201800000120180125<NA>3폐업3폐업20191129<NA><NA><NA>02-926-1615<NA><NA>서울특별시 중구 충무로4가 116-10번지서울특별시 중구 퇴계로 220 (충무로4가)4624씨네트 비디오방2019-12-02 13:41:59U2019-12-04 02:40:00.0<NA>199598.919267451027.764382비디오물감상실업<NA>5<NA><NA>108.100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
573010000CDFF124201202100000120211220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로6가 18-96 4층서울특별시 중구 장충단로13길 11, 4층 (을지로6가)4564다락방 OTT2021-12-20 16:58:11I2021-12-22 00:22:42.0<NA>200640.845643451721.924345비디오물감상실업<NA>0<NA><NA>81.8800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>