Overview

Dataset statistics

Number of variables56
Number of observations131
Missing cells3899
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.7 KiB
Average record size in memory490.0 B

Variable types

Categorical14
Text6
Numeric8
Unsupported26
DateTime2

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17267/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.5%)Imbalance
영업상태코드 is highly imbalanced (51.7%)Imbalance
영업상태명 is highly imbalanced (51.7%)Imbalance
상세영업상태코드 is highly imbalanced (59.4%)Imbalance
상세영업상태명 is highly imbalanced (59.4%)Imbalance
지상층수 is highly imbalanced (50.4%)Imbalance
건물용도명 is highly imbalanced (80.3%)Imbalance
통로너비 is highly imbalanced (84.3%)Imbalance
폐업일자 has 2 (1.5%) missing valuesMissing
휴업시작일자 has 131 (100.0%) missing valuesMissing
휴업종료일자 has 131 (100.0%) missing valuesMissing
재개업일자 has 131 (100.0%) missing valuesMissing
전화번호 has 13 (9.9%) missing valuesMissing
소재지면적 has 131 (100.0%) missing valuesMissing
소재지우편번호 has 40 (30.5%) missing valuesMissing
도로명주소 has 12 (9.2%) missing valuesMissing
도로명우편번호 has 125 (95.4%) missing valuesMissing
업태구분명 has 131 (100.0%) missing valuesMissing
좌표정보(X) has 8 (6.1%) missing valuesMissing
좌표정보(Y) has 8 (6.1%) missing valuesMissing
총층수 has 89 (67.9%) missing valuesMissing
주변환경명 has 130 (99.2%) missing valuesMissing
제작취급품목내용 has 131 (100.0%) missing valuesMissing
시설면적 has 66 (50.4%) missing valuesMissing
조명시설조도 has 131 (100.0%) missing valuesMissing
노래방실수 has 131 (100.0%) missing valuesMissing
청소년실수 has 131 (100.0%) missing valuesMissing
비상계단여부 has 131 (100.0%) missing valuesMissing
비상구여부 has 131 (100.0%) missing valuesMissing
자동환기여부 has 131 (100.0%) missing valuesMissing
청소년실여부 has 131 (100.0%) missing valuesMissing
특수조명여부 has 131 (100.0%) missing valuesMissing
방음시설여부 has 131 (100.0%) missing valuesMissing
조명시설유무 has 131 (100.0%) missing valuesMissing
음향시설여부 has 131 (100.0%) missing valuesMissing
편의시설여부 has 131 (100.0%) missing valuesMissing
소방시설여부 has 131 (100.0%) missing valuesMissing
총게임기수 has 131 (100.0%) missing valuesMissing
기존게임업외업종명 has 131 (100.0%) missing valuesMissing
제공게임물명 has 131 (100.0%) missing valuesMissing
공연장형태구분명 has 131 (100.0%) missing valuesMissing
품목명 has 131 (100.0%) missing valuesMissing
최초등록시점 has 131 (100.0%) missing valuesMissing
지역구분명 has 131 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 34 (26.0%) zerosZeros
시설면적 has 51 (38.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:24:42.612405
Analysis finished2024-05-11 05:24:43.566361
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3000000
131 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3000000 131
100.0%

Length

2024-05-11T14:24:43.667142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:43.810066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 131
100.0%

관리번호
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:24:44.093758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2620
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

Unique131 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
0.8%
cdff1242011997000009 1
 
0.8%
cdff1242012002000001 1
 
0.8%
cdff1242012001000010 1
 
0.8%
cdff1242012001000009 1
 
0.8%
cdff1242012001000008 1
 
0.8%
cdff1242012001000006 1
 
0.8%
cdff1242012001000005 1
 
0.8%
cdff1242012001000004 1
 
0.8%
cdff1242012001000003 1
 
0.8%
Other values (121) 121
92.4%
2024-05-11T14:24:44.672333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 836
31.9%
1 396
15.1%
2 357
13.6%
F 262
 
10.0%
9 184
 
7.0%
4 156
 
6.0%
C 131
 
5.0%
D 131
 
5.0%
6 74
 
2.8%
3 30
 
1.1%
Other values (3) 63
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2096
80.0%
Uppercase Letter 524
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 836
39.9%
1 396
18.9%
2 357
17.0%
9 184
 
8.8%
4 156
 
7.4%
6 74
 
3.5%
3 30
 
1.4%
5 25
 
1.2%
7 22
 
1.0%
8 16
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 262
50.0%
C 131
25.0%
D 131
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2096
80.0%
Latin 524
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 836
39.9%
1 396
18.9%
2 357
17.0%
9 184
 
8.8%
4 156
 
7.4%
6 74
 
3.5%
3 30
 
1.4%
5 25
 
1.2%
7 22
 
1.0%
8 16
 
0.8%
Latin
ValueCountFrequency (%)
F 262
50.0%
C 131
25.0%
D 131
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 836
31.9%
1 396
15.1%
2 357
13.6%
F 262
 
10.0%
9 184
 
7.0%
4 156
 
6.0%
C 131
 
5.0%
D 131
 
5.0%
6 74
 
2.8%
3 30
 
1.1%
Other values (3) 63
 
2.4%

인허가일자
Real number (ℝ)

Distinct88
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19989934
Minimum19960810
Maximum20100622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:44.978050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960810
5-th percentile19960902
Q119960912
median19971010
Q320020122
95-th percentile20060357
Maximum20100622
Range139812
Interquartile range (IQR)59209.5

Descriptive statistics

Standard deviation35328.213
Coefficient of variation (CV)0.0017673002
Kurtosis0.7908377
Mean19989934
Median Absolute Deviation (MAD)10108
Skewness1.1584233
Sum2.6186813 × 109
Variance1.2480826 × 109
MonotonicityNot monotonic
2024-05-11T14:24:45.230691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960902 7
 
5.3%
19960909 7
 
5.3%
19960907 6
 
4.6%
19960912 6
 
4.6%
19960913 5
 
3.8%
19960916 5
 
3.8%
19960917 4
 
3.1%
19960906 4
 
3.1%
19960831 3
 
2.3%
19990311 2
 
1.5%
Other values (78) 82
62.6%
ValueCountFrequency (%)
19960810 1
 
0.8%
19960831 3
2.3%
19960902 7
5.3%
19960904 2
 
1.5%
19960906 4
3.1%
19960907 6
4.6%
19960909 7
5.3%
19960912 6
4.6%
19960913 5
3.8%
19960916 5
3.8%
ValueCountFrequency (%)
20100622 1
0.8%
20100611 1
0.8%
20091029 1
0.8%
20090317 1
0.8%
20071211 1
0.8%
20070212 1
0.8%
20060407 1
0.8%
20060307 1
0.8%
20050729 1
0.8%
20040906 1
0.8%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
130 
20101231
 
1

Length

Max length8
Median length4
Mean length4.0305344
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
99.2%
20101231 1
 
0.8%

Length

2024-05-11T14:24:45.489399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:45.654164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
99.2%
20101231 1
 
0.8%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
105 
4
25 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 105
80.2%
4 25
 
19.1%
1 1
 
0.8%

Length

2024-05-11T14:24:45.855634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:46.029549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 105
80.2%
4 25
 
19.1%
1 1
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
105 
취소/말소/만료/정지/중지
25 
영업/정상
 
1

Length

Max length14
Median length2
Mean length4.3129771
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 105
80.2%
취소/말소/만료/정지/중지 25
 
19.1%
영업/정상 1
 
0.8%

Length

2024-05-11T14:24:46.220595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:46.401102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 105
80.2%
취소/말소/만료/정지/중지 25
 
19.1%
영업/정상 1
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
105 
35
24 
31
 
1
13
 
1

Length

Max length2
Median length1
Mean length1.1984733
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 105
80.2%
35 24
 
18.3%
31 1
 
0.8%
13 1
 
0.8%

Length

2024-05-11T14:24:46.592222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:46.781760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 105
80.2%
35 24
 
18.3%
31 1
 
0.8%
13 1
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
105 
직권말소
24 
등록취소
 
1
영업중
 
1

Length

Max length4
Median length2
Mean length2.389313
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 105
80.2%
직권말소 24
 
18.3%
등록취소 1
 
0.8%
영업중 1
 
0.8%

Length

2024-05-11T14:24:47.003699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:47.240334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 105
80.2%
직권말소 24
 
18.3%
등록취소 1
 
0.8%
영업중 1
 
0.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)79.8%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean20084242
Minimum19980205
Maximum20220412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:47.477329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980205
5-th percentile19991023
Q120020401
median20060331
Q320141114
95-th percentile20220412
Maximum20220412
Range240207
Interquartile range (IQR)120713

Descriptive statistics

Standard deviation78422.753
Coefficient of variation (CV)0.0039046907
Kurtosis-0.91179849
Mean20084242
Median Absolute Deviation (MAD)49128
Skewness0.62725603
Sum2.5908672 × 109
Variance6.1501281 × 109
MonotonicityNot monotonic
2024-05-11T14:24:47.729425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220412 21
 
16.0%
20060223 3
 
2.3%
20001102 2
 
1.5%
20080411 2
 
1.5%
20030214 2
 
1.5%
20170228 2
 
1.5%
20011203 1
 
0.8%
20060403 1
 
0.8%
20100809 1
 
0.8%
20020808 1
 
0.8%
Other values (93) 93
71.0%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
19980205 1
0.8%
19980410 1
0.8%
19980725 1
0.8%
19980922 1
0.8%
19981222 1
0.8%
19990922 1
0.8%
19991019 1
0.8%
19991029 1
0.8%
20000303 1
0.8%
20000315 1
0.8%
ValueCountFrequency (%)
20220412 21
16.0%
20201015 1
 
0.8%
20200403 1
 
0.8%
20190211 1
 
0.8%
20170228 2
 
1.5%
20170227 1
 
0.8%
20160930 1
 
0.8%
20160104 1
 
0.8%
20150907 1
 
0.8%
20150512 1
 
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct115
Distinct (%)97.5%
Missing13
Missing (%)9.9%
Memory size1.2 KiB
2024-05-11T14:24:48.306251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.1694915
Min length8

Characters and Unicode

Total characters964
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

Unique112 ?
Unique (%)94.9%

Sample

1st row3675-9036
2nd row765-7895
3rd row744-3655
4th row2292-9986
5th row929-7528
ValueCountFrequency (%)
732-8924 2
 
1.7%
1111-1111 2
 
1.7%
741-5688 2
 
1.7%
02-745-1209 1
 
0.8%
732-9353 1
 
0.8%
744-7405 1
 
0.8%
723-8834 1
 
0.8%
3675-1971 1
 
0.8%
2263-4190 1
 
0.8%
3672-4968 1
 
0.8%
Other values (105) 105
89.0%
2024-05-11T14:24:49.069517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 148
15.4%
- 119
12.3%
3 99
10.3%
6 99
10.3%
2 94
9.8%
4 93
9.6%
9 75
7.8%
5 70
7.3%
1 66
6.8%
8 57
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845
87.7%
Dash Punctuation 119
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 148
17.5%
3 99
11.7%
6 99
11.7%
2 94
11.1%
4 93
11.0%
9 75
8.9%
5 70
8.3%
1 66
7.8%
8 57
 
6.7%
0 44
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 148
15.4%
- 119
12.3%
3 99
10.3%
6 99
10.3%
2 94
9.8%
4 93
9.6%
9 75
7.8%
5 70
7.3%
1 66
6.8%
8 57
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 148
15.4%
- 119
12.3%
3 99
10.3%
6 99
10.3%
2 94
9.8%
4 93
9.6%
9 75
7.8%
5 70
7.3%
1 66
6.8%
8 57
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)30.8%
Missing40
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean110460.15
Minimum110061
Maximum110855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:49.324990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110061
5-th percentile110111
Q1110122
median110522
Q3110809
95-th percentile110848
Maximum110855
Range794
Interquartile range (IQR)687

Descriptive statistics

Standard deviation275.27844
Coefficient of variation (CV)0.0024921063
Kurtosis-1.3192402
Mean110460.15
Median Absolute Deviation (MAD)287
Skewness0.017322173
Sum10051874
Variance75778.221
MonotonicityNot monotonic
2024-05-11T14:24:49.629073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
110111 18
13.7%
110522 16
 
12.2%
110524 7
 
5.3%
110420 6
 
4.6%
110809 6
 
4.6%
110530 3
 
2.3%
110855 3
 
2.3%
110123 3
 
2.3%
110854 2
 
1.5%
110370 2
 
1.5%
Other values (18) 25
19.1%
(Missing) 40
30.5%
ValueCountFrequency (%)
110061 1
 
0.8%
110071 1
 
0.8%
110100 1
 
0.8%
110111 18
13.7%
110121 1
 
0.8%
110122 2
 
1.5%
110123 3
 
2.3%
110290 2
 
1.5%
110320 2
 
1.5%
110370 2
 
1.5%
ValueCountFrequency (%)
110855 3
2.3%
110854 2
1.5%
110842 1
 
0.8%
110840 2
1.5%
110835 1
 
0.8%
110829 1
 
0.8%
110827 1
 
0.8%
110826 2
1.5%
110825 1
 
0.8%
110824 2
1.5%

지번주소
Text

Distinct127
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:24:50.123251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length21.961832
Min length16

Characters and Unicode

Total characters2877
Distinct characters62
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

Unique123 ?
Unique (%)93.9%

Sample

1st row서울특별시 종로구 명륜3가 82-3번지
2nd row서울특별시 종로구 창신동 537-1번지
3rd row서울특별시 종로구 명륜4가 59-3번지
4th row서울특별시 종로구 인의동 28-26번지
5th row서울특별시 종로구 숭인동 1148-0번지
ValueCountFrequency (%)
서울특별시 131
23.9%
종로구 131
23.9%
관철동 38
 
6.9%
명륜2가 22
 
4.0%
창신동 9
 
1.6%
동숭동 8
 
1.5%
명륜4가 8
 
1.5%
숭인동 7
 
1.3%
관수동 7
 
1.3%
4층 6
 
1.1%
Other values (150) 181
33.0%
2024-05-11T14:24:50.911340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
527
18.3%
로 144
 
5.0%
종 143
 
5.0%
1 139
 
4.8%
서 131
 
4.6%
구 131
 
4.6%
울 131
 
4.6%
시 131
 
4.6%
특 131
 
4.6%
별 131
 
4.6%
Other values (52) 1138
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1697
59.0%
Space Separator 527
 
18.3%
Decimal Number 523
 
18.2%
Dash Punctuation 118
 
4.1%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 144
 
8.5%
종 143
 
8.4%
서 131
 
7.7%
구 131
 
7.7%
울 131
 
7.7%
시 131
 
7.7%
특 131
 
7.7%
별 131
 
7.7%
지 112
 
6.6%
번 109
 
6.4%
Other values (38) 403
23.7%
Decimal Number
ValueCountFrequency (%)
1 139
26.6%
2 86
16.4%
4 72
13.8%
3 57
10.9%
0 34
 
6.5%
5 33
 
6.3%
8 27
 
5.2%
6 26
 
5.0%
9 25
 
4.8%
7 24
 
4.6%
Space Separator
ValueCountFrequency (%)
527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1697
59.0%
Common 1180
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 144
 
8.5%
종 143
 
8.4%
서 131
 
7.7%
구 131
 
7.7%
울 131
 
7.7%
시 131
 
7.7%
특 131
 
7.7%
별 131
 
7.7%
지 112
 
6.6%
번 109
 
6.4%
Other values (38) 403
23.7%
Common
ValueCountFrequency (%)
527
44.7%
1 139
 
11.8%
- 118
 
10.0%
2 86
 
7.3%
4 72
 
6.1%
3 57
 
4.8%
0 34
 
2.9%
5 33
 
2.8%
8 27
 
2.3%
6 26
 
2.2%
Other values (4) 61
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1697
59.0%
ASCII 1180
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
527
44.7%
1 139
 
11.8%
- 118
 
10.0%
2 86
 
7.3%
4 72
 
6.1%
3 57
 
4.8%
0 34
 
2.9%
5 33
 
2.8%
8 27
 
2.3%
6 26
 
2.2%
Other values (4) 61
 
5.2%
Hangul
ValueCountFrequency (%)
로 144
 
8.5%
종 143
 
8.4%
서 131
 
7.7%
구 131
 
7.7%
울 131
 
7.7%
시 131
 
7.7%
특 131
 
7.7%
별 131
 
7.7%
지 112
 
6.6%
번 109
 
6.4%
Other values (38) 403
23.7%

도로명주소
Text

MISSING 

Distinct114
Distinct (%)95.8%
Missing12
Missing (%)9.2%
Memory size1.2 KiB
2024-05-11T14:24:51.436931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length26.016807
Min length22

Characters and Unicode

Total characters3096
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)91.6%

Sample

1st row서울특별시 종로구 성균관로5길 9 (명륜3가)
2nd row서울특별시 종로구 종로 309 (창신동)
3rd row서울특별시 종로구 대명길 37 (명륜4가)
4th row서울특별시 종로구 보문로3길 2 (숭인동)
5th row서울특별시 종로구 창경궁로 258-10 (명륜2가)
ValueCountFrequency (%)
서울특별시 119
19.8%
종로구 119
19.8%
관철동 27
 
4.5%
명륜2가 21
 
3.5%
종로 15
 
2.5%
대명길 12
 
2.0%
삼일대로17길 11
 
1.8%
창경궁로 10
 
1.7%
창신동 9
 
1.5%
명륜4가 8
 
1.3%
Other values (143) 250
41.6%
2024-05-11T14:24:52.463616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
18.6%
로 227
 
7.3%
종 162
 
5.2%
) 124
 
4.0%
( 124
 
4.0%
서 119
 
3.8%
특 119
 
3.8%
별 119
 
3.8%
시 119
 
3.8%
구 119
 
3.8%
Other values (60) 1288
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1779
57.5%
Space Separator 576
 
18.6%
Decimal Number 450
 
14.5%
Close Punctuation 124
 
4.0%
Open Punctuation 124
 
4.0%
Dash Punctuation 23
 
0.7%
Other Punctuation 20
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 227
12.8%
종 162
 
9.1%
서 119
 
6.7%
특 119
 
6.7%
별 119
 
6.7%
시 119
 
6.7%
구 119
 
6.7%
울 119
 
6.7%
동 88
 
4.9%
길 78
 
4.4%
Other values (45) 510
28.7%
Decimal Number
ValueCountFrequency (%)
1 113
25.1%
2 86
19.1%
4 47
10.4%
3 46
10.2%
9 31
 
6.9%
5 29
 
6.4%
6 26
 
5.8%
7 25
 
5.6%
0 24
 
5.3%
8 23
 
5.1%
Space Separator
ValueCountFrequency (%)
576
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1779
57.5%
Common 1317
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 227
12.8%
종 162
 
9.1%
서 119
 
6.7%
특 119
 
6.7%
별 119
 
6.7%
시 119
 
6.7%
구 119
 
6.7%
울 119
 
6.7%
동 88
 
4.9%
길 78
 
4.4%
Other values (45) 510
28.7%
Common
ValueCountFrequency (%)
576
43.7%
) 124
 
9.4%
( 124
 
9.4%
1 113
 
8.6%
2 86
 
6.5%
4 47
 
3.6%
3 46
 
3.5%
9 31
 
2.4%
5 29
 
2.2%
6 26
 
2.0%
Other values (5) 115
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1779
57.5%
ASCII 1317
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
43.7%
) 124
 
9.4%
( 124
 
9.4%
1 113
 
8.6%
2 86
 
6.5%
4 47
 
3.6%
3 46
 
3.5%
9 31
 
2.4%
5 29
 
2.2%
6 26
 
2.0%
Other values (5) 115
 
8.7%
Hangul
ValueCountFrequency (%)
로 227
12.8%
종 162
 
9.1%
서 119
 
6.7%
특 119
 
6.7%
별 119
 
6.7%
시 119
 
6.7%
구 119
 
6.7%
울 119
 
6.7%
동 88
 
4.9%
길 78
 
4.4%
Other values (45) 510
28.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing125
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean38873
Minimum3077
Maximum110522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:52.702536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3077
5-th percentile3092.5
Q13151.5
median3189.5
Q383388.25
95-th percentile110421.75
Maximum110522
Range107445
Interquartile range (IQR)80236.75

Descriptive statistics

Standard deviation55343.931
Coefficient of variation (CV)1.4237113
Kurtosis-1.8748622
Mean38873
Median Absolute Deviation (MAD)81.5
Skewness0.96826627
Sum233238
Variance3.0629507 × 109
MonotonicityNot monotonic
2024-05-11T14:24:52.929389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
110121 1
 
0.8%
110522 1
 
0.8%
3139 1
 
0.8%
3189 1
 
0.8%
3077 1
 
0.8%
3190 1
 
0.8%
(Missing) 125
95.4%
ValueCountFrequency (%)
3077 1
0.8%
3139 1
0.8%
3189 1
0.8%
3190 1
0.8%
110121 1
0.8%
110522 1
0.8%
ValueCountFrequency (%)
110522 1
0.8%
110121 1
0.8%
3190 1
0.8%
3189 1
0.8%
3139 1
0.8%
3077 1
0.8%

사업장명
Text

Distinct121
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:24:53.281801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.2748092
Min length1

Characters and Unicode

Total characters691
Distinct characters174
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

Unique111 ?
Unique (%)84.7%

Sample

1st row명화
2nd row동대문
3rd rowWin
4th row환상특급비디오방
5th rowDVD키네마
ValueCountFrequency (%)
dvd 5
 
3.5%
연인 2
 
1.4%
월드 2
 
1.4%
깐느 2
 
1.4%
영화속으로 2
 
1.4%
신세대 2
 
1.4%
채플린 2
 
1.4%
영화공간 2
 
1.4%
씨네마천국 2
 
1.4%
허리우드 2
 
1.4%
Other values (118) 120
83.9%
2024-05-11T14:24:53.902868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 46
 
6.7%
디 46
 
6.7%
비 45
 
6.5%
오 43
 
6.2%
방 26
 
3.8%
V 22
 
3.2%
네 18
 
2.6%
상 16
 
2.3%
영 15
 
2.2%
마 13
 
1.9%
Other values (164) 401
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 559
80.9%
Uppercase Letter 94
 
13.6%
Space Separator 12
 
1.7%
Decimal Number 12
 
1.7%
Lowercase Letter 7
 
1.0%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 46
 
8.2%
비 45
 
8.1%
오 43
 
7.7%
방 26
 
4.7%
네 18
 
3.2%
상 16
 
2.9%
영 15
 
2.7%
마 13
 
2.3%
화 12
 
2.1%
스 11
 
2.0%
Other values (131) 314
56.2%
Uppercase Letter
ValueCountFrequency (%)
D 46
48.9%
V 22
23.4%
S 3
 
3.2%
E 3
 
3.2%
K 2
 
2.1%
T 2
 
2.1%
Z 2
 
2.1%
P 2
 
2.1%
O 2
 
2.1%
A 2
 
2.1%
Other values (8) 8
 
8.5%
Decimal Number
ValueCountFrequency (%)
4 3
25.0%
8 2
16.7%
1 2
16.7%
0 2
16.7%
2 2
16.7%
5 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
n 2
28.6%
i 2
28.6%
e 1
14.3%
p 1
14.3%
v 1
14.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 559
80.9%
Latin 101
 
14.6%
Common 31
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 46
 
8.2%
비 45
 
8.1%
오 43
 
7.7%
방 26
 
4.7%
네 18
 
3.2%
상 16
 
2.9%
영 15
 
2.7%
마 13
 
2.3%
화 12
 
2.1%
스 11
 
2.0%
Other values (131) 314
56.2%
Latin
ValueCountFrequency (%)
D 46
45.5%
V 22
21.8%
S 3
 
3.0%
E 3
 
3.0%
K 2
 
2.0%
T 2
 
2.0%
Z 2
 
2.0%
n 2
 
2.0%
P 2
 
2.0%
O 2
 
2.0%
Other values (13) 15
 
14.9%
Common
ValueCountFrequency (%)
12
38.7%
4 3
 
9.7%
( 3
 
9.7%
) 3
 
9.7%
8 2
 
6.5%
1 2
 
6.5%
0 2
 
6.5%
2 2
 
6.5%
5 1
 
3.2%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
80.9%
ASCII 132
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 46
34.8%
V 22
16.7%
12
 
9.1%
S 3
 
2.3%
4 3
 
2.3%
E 3
 
2.3%
( 3
 
2.3%
) 3
 
2.3%
K 2
 
1.5%
8 2
 
1.5%
Other values (23) 33
25.0%
Hangul
ValueCountFrequency (%)
디 46
 
8.2%
비 45
 
8.1%
오 43
 
7.7%
방 26
 
4.7%
네 18
 
3.2%
상 16
 
2.9%
영 15
 
2.7%
마 13
 
2.3%
화 12
 
2.1%
스 11
 
2.0%
Other values (131) 314
56.2%

최종수정일자
Date

Distinct94
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-02-07 09:11:35
Maximum2022-04-13 13:52:50
2024-05-11T14:24:54.341173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:54.574628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
106 
U
25 

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 106
80.9%
U 25
 
19.1%

Length

2024-05-11T14:24:54.809979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:54.997952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 106
80.9%
u 25
 
19.1%

데이터갱신일자
Date

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-12-03 23:05:00
2024-05-11T14:24:55.196668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:55.419901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)91.9%
Missing8
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean199511.32
Minimum197759.9
Maximum201949.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:55.632848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197759.9
5-th percentile198543.43
Q1198741.37
median199255.56
Q3200000.93
95-th percentile201194.61
Maximum201949.65
Range4189.7551
Interquartile range (IQR)1259.5621

Descriptive statistics

Standard deviation897.24585
Coefficient of variation (CV)0.0044972177
Kurtosis0.052067219
Mean199511.32
Median Absolute Deviation (MAD)642.50614
Skewness0.76247507
Sum24539893
Variance805050.12
MonotonicityNot monotonic
2024-05-11T14:24:55.875712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198749.18491262 2
 
1.5%
198585.290764513 2
 
1.5%
199967.186078655 2
 
1.5%
200845.73590754 2
 
1.5%
198744.767994092 2
 
1.5%
198724.740257195 2
 
1.5%
198786.901723323 2
 
1.5%
199965.552486441 2
 
1.5%
198543.434281297 2
 
1.5%
199909.796584818 2
 
1.5%
Other values (103) 103
78.6%
(Missing) 8
 
6.1%
ValueCountFrequency (%)
197759.896536549 1
0.8%
198286.311784052 1
0.8%
198504.402368702 1
0.8%
198508.810155955 1
0.8%
198524.8093622 1
0.8%
198542.419445333 1
0.8%
198543.434281297 2
1.5%
198544.216640638 1
0.8%
198549.377397696 1
0.8%
198567.947400286 1
0.8%
ValueCountFrequency (%)
201949.65163583 1
0.8%
201875.881162742 1
0.8%
201834.95408039 1
0.8%
201741.450560034 1
0.8%
201588.786483466 1
0.8%
201580.493928595 1
0.8%
201212.302034101 1
0.8%
201035.357569809 1
0.8%
200986.447020802 1
0.8%
200934.235347338 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)91.9%
Missing8
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean452533.56
Minimum451848.59
Maximum454013.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:56.126970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451848.59
5-th percentile451865.49
Q1451918.91
median452121.39
Q3453412.11
95-th percentile453536.06
Maximum454013.33
Range2164.7477
Interquartile range (IQR)1493.2051

Descriptive statistics

Standard deviation708.24305
Coefficient of variation (CV)0.0015650619
Kurtosis-1.5725304
Mean452533.56
Median Absolute Deviation (MAD)247.75234
Skewness0.52264098
Sum55661628
Variance501608.22
MonotonicityNot monotonic
2024-05-11T14:24:56.395557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451866.558647435 2
 
1.5%
451888.132413651 2
 
1.5%
453492.350967262 2
 
1.5%
452206.127097698 2
 
1.5%
451930.939476321 2
 
1.5%
451930.754248234 2
 
1.5%
451865.494241718 2
 
1.5%
453459.106833426 2
 
1.5%
451901.078844033 2
 
1.5%
453367.533676631 2
 
1.5%
Other values (103) 103
78.6%
(Missing) 8
 
6.1%
ValueCountFrequency (%)
451848.586506701 1
0.8%
451849.196279815 1
0.8%
451849.198415207 1
0.8%
451852.05285101 1
0.8%
451859.031595125 1
0.8%
451864.041221302 1
0.8%
451865.494241718 2
1.5%
451866.558647435 2
1.5%
451867.155605848 1
0.8%
451873.640046886 1
0.8%
ValueCountFrequency (%)
454013.33417032 1
0.8%
453579.072472305 1
0.8%
453577.361028716 1
0.8%
453565.897387933 1
0.8%
453562.926014659 1
0.8%
453552.062000606 1
0.8%
453537.938046119 1
0.8%
453519.126837358 1
0.8%
453518.007319338 1
0.8%
453511.50028744 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
비디오물감상실업
110 
<NA>
21 

Length

Max length8
Median length8
Mean length7.3587786
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 110
84.0%
<NA> 21
 
16.0%

Length

2024-05-11T14:24:56.848519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:57.070945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 110
84.0%
na 21
 
16.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
100 
<NA>
31 

Length

Max length5
Median length5
Mean length4.7633588
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 100
76.3%
<NA> 31
 
23.7%

Length

2024-05-11T14:24:57.268453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:57.484276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 100
76.3%
na 31
 
23.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)14.3%
Missing89
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean1.1666667
Minimum0
Maximum9
Zeros34
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:57.698568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.527089
Coefficient of variation (CV)2.1660763
Kurtosis2.4044881
Mean1.1666667
Median Absolute Deviation (MAD)0
Skewness1.9358161
Sum49
Variance6.3861789
MonotonicityNot monotonic
2024-05-11T14:24:57.923184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 34
 
26.0%
6 3
 
2.3%
5 2
 
1.5%
8 1
 
0.8%
4 1
 
0.8%
9 1
 
0.8%
(Missing) 89
67.9%
ValueCountFrequency (%)
0 34
26.0%
4 1
 
0.8%
5 2
 
1.5%
6 3
 
2.3%
8 1
 
0.8%
9 1
 
0.8%
ValueCountFrequency (%)
9 1
 
0.8%
8 1
 
0.8%
6 3
 
2.3%
5 2
 
1.5%
4 1
 
0.8%
0 34
26.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing130
Missing (%)99.2%
Memory size1.2 KiB
2024-05-11T14:24:58.103420image/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%
2024-05-11T14:24:58.613667image/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 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)23.1%
Missing66
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean33.127846
Minimum0
Maximum251.49
Zeros51
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:58.877506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile185.656
Maximum251.49
Range251.49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.95288
Coefficient of variation (CV)2.0512314
Kurtosis2.4779132
Mean33.127846
Median Absolute Deviation (MAD)0
Skewness1.8984633
Sum2153.31
Variance4617.5939
MonotonicityNot monotonic
2024-05-11T14:24:59.144381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 51
38.9%
201.6 1
 
0.8%
153.0 1
 
0.8%
249.28 1
 
0.8%
172.2 1
 
0.8%
98.5 1
 
0.8%
251.49 1
 
0.8%
125.0 1
 
0.8%
130.98 1
 
0.8%
120.0 1
 
0.8%
Other values (5) 5
 
3.8%
(Missing) 66
50.4%
ValueCountFrequency (%)
0.0 51
38.9%
87.7 1
 
0.8%
98.5 1
 
0.8%
103.54 1
 
0.8%
120.0 1
 
0.8%
125.0 1
 
0.8%
130.98 1
 
0.8%
132.0 1
 
0.8%
139.0 1
 
0.8%
153.0 1
 
0.8%
ValueCountFrequency (%)
251.49 1
0.8%
249.28 1
0.8%
201.6 1
0.8%
189.02 1
0.8%
172.2 1
0.8%
153.0 1
0.8%
139.0 1
0.8%
132.0 1
0.8%
130.98 1
0.8%
125.0 1
0.8%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
88 
0
34 
5
 
4
7
 
2
3
 
2

Length

Max length4
Median length4
Mean length3.0152672
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
67.2%
0 34
 
26.0%
5 4
 
3.1%
7 2
 
1.5%
3 2
 
1.5%
4 1
 
0.8%

Length

2024-05-11T14:24:59.413558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:59.601587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
67.2%
0 34
 
26.0%
5 4
 
3.1%
7 2
 
1.5%
3 2
 
1.5%
4 1
 
0.8%

지하층수
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
90 
0
34 
1
 
6
2
 
1

Length

Max length4
Median length4
Mean length3.0610687
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 90
68.7%
0 34
 
26.0%
1 6
 
4.6%
2 1
 
0.8%

Length

2024-05-11T14:24:59.796408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:59.983993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
68.7%
0 34
 
26.0%
1 6
 
4.6%
2 1
 
0.8%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
근린생활시설
 
4

Length

Max length6
Median length4
Mean length4.0610687
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> 127
96.9%
근린생활시설 4
 
3.1%

Length

2024-05-11T14:25:00.185717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:00.350271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
96.9%
근린생활시설 4
 
3.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
128 
1
 
3

Length

Max length4
Median length4
Mean length3.9312977
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
97.7%
1 3
 
2.3%

Length

2024-05-11T14:25:00.578084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:00.770709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
97.7%
1 3
 
2.3%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
79 
자동
52 

Length

Max length4
Median length4
Mean length3.2061069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
60.3%
자동 52
39.7%

Length

2024-05-11T14:25:00.964478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:01.164270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
60.3%
자동 52
39.7%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing131
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF124201199600000119960810<NA>3폐업3폐업20020816<NA><NA><NA>3675-9036<NA>110812서울특별시 종로구 명륜3가 82-3번지서울특별시 종로구 성균관로5길 9 (명륜3가)<NA>명화2003-02-07 09:11:35I2018-08-31 23:59:59.0<NA>199652.817727453552.062001비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFF124201199600000219960831<NA>3폐업3폐업20040624<NA><NA><NA>765-7895<NA>110854서울특별시 종로구 창신동 537-1번지서울특별시 종로구 종로 309 (창신동)<NA>동대문2004-06-24 16:04:13I2018-08-31 23:59:59.0<NA>200986.447021452215.701717비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFF124201199600000319960831<NA>3폐업3폐업20160930<NA><NA><NA>744-3655<NA><NA>서울특별시 종로구 명륜4가 59-3번지서울특별시 종로구 대명길 37 (명륜4가)<NA>Win2016-10-06 15:50:21I2018-08-31 23:59:59.0<NA>199894.827508453399.86034비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFF124201199600000419960831<NA>3폐업3폐업20000614<NA><NA><NA>2292-9986<NA>110410서울특별시 종로구 인의동 28-26번지<NA><NA>환상특급비디오방2003-02-07 09:11:35I2018-08-31 23:59:59.0<NA>199826.205828452259.300049비디오물감상실업유통관련업0기타<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFF124201199600000519960902<NA>3폐업3폐업20040604<NA><NA><NA>929-7528<NA>110827서울특별시 종로구 숭인동 1148-0번지서울특별시 종로구 보문로3길 2 (숭인동)<NA>DVD키네마2004-06-04 09:56:00I2018-08-31 23:59:59.0<NA>201949.651636452677.676438비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFF124201199600000619960902<NA>3폐업3폐업20071024<NA><NA><NA>741-5688<NA>110522서울특별시 종로구 명륜2가 21-17번지서울특별시 종로구 창경궁로 258-10 (명륜2가)<NA>스크린로드2007-10-25 09:14:37I2018-08-31 23:59:59.0<NA>199955.953277453503.718908비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFF124201199600000719960902<NA>4취소/말소/만료/정지/중지35직권말소20220412<NA><NA><NA>3672-0556<NA><NA>서울특별시 종로구 묘동 199-3<NA><NA>공간비디오2022-04-13 13:32:45U2021-12-03 23:05:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF124201199600000819960902<NA>3폐업3폐업19991029<NA><NA><NA>766-7250<NA>110809서울특별시 종로구 동숭동 128-16번지서울특별시 종로구 동숭길 64 (동숭동)<NA>LA비디오방2003-02-07 09:11:35I2018-08-31 23:59:59.0<NA>200315.525649453201.946816비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFF124201199600000919960902<NA>3폐업3폐업20110830<NA><NA><NA>766-3977<NA>110524서울특별시 종로구 명륜4가 176-2번지서울특별시 종로구 대명길 41 (명륜4가)<NA>무비(DVD)랜드2011-08-30 16:49:44I2018-08-31 23:59:59.0<NA>199872.928165453390.080653비디오물감상실업유통관련업<NA><NA><NA>201.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFF124201199600001019960902<NA>3폐업3폐업20040531<NA><NA><NA>764-6615<NA>110835서울특별시 종로구 종로5가 42-1번지 건물4층<NA><NA>쉼터비디오방2004-05-31 09:09:41I2018-08-31 23:59:59.0<NA>200259.754526452113.150873비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1213000000CDFF124201200400000220040906<NA>1영업/정상13영업중<NA><NA><NA><NA>735-3022<NA><NA>서울특별시 종로구 관철동 14-3번지 5층서울특별시 종로구 삼일대로19길 18 (관철동,5층)<NA>럭셔리 수 DVD관2019-06-21 09:19:46U2019-06-23 02:40:00.0<NA>198744.767994451930.939476비디오물감상실업<NA>5<NA><NA>130.985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223000000CDFF124201200500000120050729<NA>3폐업3폐업20111117<NA><NA><NA>732-8609<NA><NA>서울특별시 종로구 관철동 18-11번지 (지상4층)서울특별시 종로구 우정국로2길 27 (관철동,(지상4층))<NA>에이플러스DVD영화관2011-11-17 13:28:44I2018-08-31 23:59:59.0<NA>198569.613847451932.484457비디오물감상실업<NA>6<NA><NA>120.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233000000CDFF124201200600000120060307<NA>3폐업3폐업20100629<NA><NA><NA>723-9566<NA><NA>서울특별시 종로구 관철동 7-11번지 (3층)서울특별시 종로구 종로14길 19 (관철동,(3층))<NA>시네마옵티2010-06-29 09:42:45I2018-08-31 23:59:59.0<NA>198786.901723451865.494242비디오물감상실업유통관련업9<NA><NA>139.072근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243000000CDFF124201200600000220060407<NA>3폐업3폐업20170227<NA><NA><NA>725-9998<NA><NA>서울특별시 종로구 종로2가 102-1번지 (4층)서울특별시 종로구 종로 62-1, 4층 (종로2가)3189S DVD2017-02-24 16:20:43I2018-08-31 23:59:59.0<NA>198549.377398451960.972726비디오물감상실업<NA><NA><NA><NA>103.54<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253000000CDFF124201200700000120070212<NA>3폐업3폐업20170228<NA><NA><NA>723-9987<NA><NA>서울특별시 종로구 관철동 14-6번지 3층서울특별시 종로구 삼일대로19길 22 (관철동,3층)<NA>미DVD2017-03-06 09:13:07I2018-08-31 23:59:59.0<NA>198724.740257451930.754248비디오물감상실업유통관련업<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>
1263000000CDFF124201200700000220071211<NA>4취소/말소/만료/정지/중지35직권말소20220412<NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 13-1 5층서울특별시 종로구 삼일대로19길 15 (관철동,5층)<NA>DVD 키네마2022-04-13 13:52:21U2021-12-03 23:05:00.0<NA>198757.128601451907.113718<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>
1273000000CDFF124201200900000120090317<NA>3폐업3폐업20200403<NA><NA><NA>730-3245<NA><NA>서울특별시 종로구 관철동 43-7번지 4층서울특별시 종로구 종로10길 20 (관철동,4층)<NA>TAKE5 DVD 종로점2020-04-03 17:56:46U2020-04-05 02:40:00.0<NA>198544.216641451873.640047비디오물감상실업<NA><NA><NA><NA>189.02<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>
1283000000CDFF124201200900000220091029<NA>4취소/말소/만료/정지/중지35직권말소20220412<NA><NA><NA>02-745-1209<NA><NA>서울특별시 종로구 명륜2가 184서울특별시 종로구 대명길 40 (명륜2가)3077고구마 DVD 영화관2022-04-13 13:52:50U2021-12-03 23:05:00.0<NA>199874.787633453425.076273<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>
1293000000CDFF124201201000000120100611<NA>3폐업3폐업20170228<NA><NA><NA>732-9987<NA><NA>서울특별시 종로구 관철동 14-6번지 4층서울특별시 종로구 삼일대로19길 22, 4층 (관철동)3190미DVD22017-03-06 09:07:32I2018-08-31 23:59:59.0<NA>198724.740257451930.754248비디오물감상실업<NA><NA><NA><NA>87.7<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>
1303000000CDFF124201201000000220100622<NA>3폐업3폐업20150907<NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 6-5번지서울특별시 종로구 종로14길 9 (관철동)<NA>판타스틱2015-09-07 13:34:09I2018-08-31 23:59:59.0<NA>198788.536134451930.151627비디오물감상실업<NA><NA><NA><NA>132.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>