Overview

Dataset statistics

Number of variables56
Number of observations67
Missing cells1670
Missing cells (%)44.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 KiB
Average record size in memory490.0 B

Variable types

Categorical22
Text5
Unsupported22
Numeric6
DateTime1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17652/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 is highly imbalanced (68.9%)Imbalance
인허가취소일자 has 67 (100.0%) missing valuesMissing
폐업일자 has 27 (40.3%) missing valuesMissing
휴업시작일자 has 67 (100.0%) missing valuesMissing
휴업종료일자 has 67 (100.0%) missing valuesMissing
재개업일자 has 67 (100.0%) missing valuesMissing
소재지면적 has 67 (100.0%) missing valuesMissing
소재지우편번호 has 45 (67.2%) missing valuesMissing
도로명주소 has 1 (1.5%) missing valuesMissing
도로명우편번호 has 48 (71.6%) missing valuesMissing
업태구분명 has 67 (100.0%) missing valuesMissing
주변환경명 has 67 (100.0%) missing valuesMissing
제작취급품목내용 has 67 (100.0%) missing valuesMissing
비상계단여부 has 67 (100.0%) missing valuesMissing
비상구여부 has 67 (100.0%) missing valuesMissing
자동환기여부 has 67 (100.0%) missing valuesMissing
청소년실여부 has 67 (100.0%) missing valuesMissing
특수조명여부 has 67 (100.0%) missing valuesMissing
방음시설여부 has 67 (100.0%) missing valuesMissing
비디오재생기명 has 67 (100.0%) missing valuesMissing
조명시설유무 has 67 (100.0%) missing valuesMissing
음향시설여부 has 67 (100.0%) missing valuesMissing
편의시설여부 has 67 (100.0%) missing valuesMissing
소방시설여부 has 67 (100.0%) missing valuesMissing
기존게임업외업종명 has 67 (100.0%) missing valuesMissing
제공게임물명 has 67 (100.0%) missing valuesMissing
품목명 has 67 (100.0%) missing valuesMissing
최초등록시점 has 10 (14.9%) missing valuesMissing
지역구분명 has 65 (97.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:55:31.304764
Analysis finished2024-05-11 00:55:32.831707
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3000000
67 

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 67
100.0%

Length

2024-05-11T00:55:33.078539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:33.503516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 67
100.0%

관리번호
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T00:55:34.031237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1340
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

Unique67 ?
Unique (%)100.0%

Sample

1st rowCDFF4220002002000001
2nd rowCDFF4220002003000001
3rd rowCDFF4220002003000002
4th rowCDFF4220002003000003
5th rowCDFF4220002003000004
ValueCountFrequency (%)
cdff4220002002000001 1
 
1.5%
cdff4220002004000002 1
 
1.5%
cdff4220002004000004 1
 
1.5%
cdff4220002004000005 1
 
1.5%
cdff4220002004000006 1
 
1.5%
cdff4220002004000007 1
 
1.5%
cdff4220002004000008 1
 
1.5%
cdff4220002004000009 1
 
1.5%
cdff4220002004000010 1
 
1.5%
cdff4220002004000011 1
 
1.5%
Other values (57) 57
85.1%
2024-05-11T00:55:35.090441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 640
47.8%
2 221
 
16.5%
F 134
 
10.0%
4 89
 
6.6%
C 67
 
5.0%
D 67
 
5.0%
3 43
 
3.2%
1 39
 
2.9%
5 14
 
1.0%
6 10
 
0.7%
Other values (3) 16
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1072
80.0%
Uppercase Letter 268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 640
59.7%
2 221
 
20.6%
4 89
 
8.3%
3 43
 
4.0%
1 39
 
3.6%
5 14
 
1.3%
6 10
 
0.9%
8 7
 
0.7%
7 5
 
0.5%
9 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 134
50.0%
C 67
25.0%
D 67
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1072
80.0%
Latin 268
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 640
59.7%
2 221
 
20.6%
4 89
 
8.3%
3 43
 
4.0%
1 39
 
3.6%
5 14
 
1.3%
6 10
 
0.9%
8 7
 
0.7%
7 5
 
0.5%
9 4
 
0.4%
Latin
ValueCountFrequency (%)
F 134
50.0%
C 67
25.0%
D 67
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 640
47.8%
2 221
 
16.5%
F 134
 
10.0%
4 89
 
6.6%
C 67
 
5.0%
D 67
 
5.0%
3 43
 
3.2%
1 39
 
2.9%
5 14
 
1.0%
6 10
 
0.7%
Other values (3) 16
 
1.2%

인허가일자
Categorical

Distinct20
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size668.0 B
20030212
25 
20050126
7 
20041112
7 
20040630
6 
20030802
3 
Other values (15)
19 

Length

Max length10
Median length8
Mean length8.1492537
Min length8

Unique

Unique12 ?
Unique (%)17.9%

Sample

1st row20020201
2nd row20030212
3rd row20030212
4th row20030212
5th row20030212

Common Values

ValueCountFrequency (%)
20030212 25
37.3%
20050126 7
 
10.4%
20041112 7
 
10.4%
20040630 6
 
9.0%
20030802 3
 
4.5%
20060925 3
 
4.5%
2003-02-12 2
 
3.0%
2004-11-12 2
 
3.0%
2005-05-26 1
 
1.5%
19720220 1
 
1.5%
Other values (10) 10
 
14.9%

Length

2024-05-11T00:55:35.573833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20030212 25
37.3%
20041112 7
 
10.4%
20050126 7
 
10.4%
20040630 6
 
9.0%
20030802 3
 
4.5%
20060925 3
 
4.5%
2003-02-12 2
 
3.0%
2004-11-12 2
 
3.0%
20110323 1
 
1.5%
20020201 1
 
1.5%
Other values (10) 10
 
14.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3
41 
1
21 
4
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 41
61.2%
1 21
31.3%
4 5
 
7.5%

Length

2024-05-11T00:55:35.944706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:36.240375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
61.2%
1 21
31.3%
4 5
 
7.5%

영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
폐업
41 
영업/정상
21 
취소/말소/만료/정지/중지
5 

Length

Max length14
Median length2
Mean length3.8358209
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 41
61.2%
영업/정상 21
31.3%
취소/말소/만료/정지/중지 5
 
7.5%

Length

2024-05-11T00:55:36.550084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:36.858268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
61.2%
영업/정상 21
31.3%
취소/말소/만료/정지/중지 5
 
7.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3
41 
13
21 
35
5 

Length

Max length2
Median length1
Mean length1.3880597
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 41
61.2%
13 21
31.3%
35 5
 
7.5%

Length

2024-05-11T00:55:37.225746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:37.574343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
61.2%
13 21
31.3%
35 5
 
7.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
폐업
41 
영업중
21 
직권말소
5 

Length

Max length4
Median length2
Mean length2.4626866
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 41
61.2%
영업중 21
31.3%
직권말소 5
 
7.5%

Length

2024-05-11T00:55:37.923156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:38.295603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
61.2%
영업중 21
31.3%
직권말소 5
 
7.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)55.0%
Missing27
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean20139261
Minimum20030730
Maximum20220411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T00:55:38.825013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030730
5-th percentile20041120
Q120081020
median20120628
Q320210907
95-th percentile20220411
Maximum20220411
Range189681
Interquartile range (IQR)129886.75

Descriptive statistics

Standard deviation67987.834
Coefficient of variation (CV)0.0033758852
Kurtosis-1.6384654
Mean20139261
Median Absolute Deviation (MAD)74602
Skewness-0.017586484
Sum8.0557045 × 108
Variance4.6223456 × 109
MonotonicityNot monotonic
2024-05-11T00:55:39.517644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20210907 8
 
11.9%
20100406 4
 
6.0%
20220411 4
 
6.0%
20100714 3
 
4.5%
20211119 2
 
3.0%
20041125 2
 
3.0%
20071022 2
 
3.0%
20171115 1
 
1.5%
20130809 1
 
1.5%
20120529 1
 
1.5%
Other values (12) 12
17.9%
(Missing) 27
40.3%
ValueCountFrequency (%)
20030730 1
 
1.5%
20041015 1
 
1.5%
20041125 2
3.0%
20050927 1
 
1.5%
20060703 1
 
1.5%
20070913 1
 
1.5%
20071022 2
3.0%
20080403 1
 
1.5%
20081226 1
 
1.5%
20100406 4
6.0%
ValueCountFrequency (%)
20220411 4
6.0%
20220324 1
 
1.5%
20220217 1
 
1.5%
20211119 2
 
3.0%
20210907 8
11.9%
20171115 1
 
1.5%
20151201 1
 
1.5%
20130809 1
 
1.5%
20120727 1
 
1.5%
20120529 1
 
1.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

전화번호
Categorical

Distinct25
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size668.0 B
3674-7735
9 
2277-3015
9 
765-1907
7 
766-3211
7 
3676-8400
5 
Other values (20)
30 

Length

Max length18
Median length9
Mean length9.0597015
Min length8

Unique

Unique14 ?
Unique (%)20.9%

Sample

1st row708-5003
2nd row745-4231
3rd row739-9932
4th row739-9932
5th row3672-0182

Common Values

ValueCountFrequency (%)
3674-7735 9
13.4%
2277-3015 9
13.4%
765-1907 7
10.4%
766-3211 7
10.4%
3676-8400 5
 
7.5%
2285-2096 5
 
7.5%
3674-6000 3
 
4.5%
3672-0182 2
 
3.0%
739-9932 2
 
3.0%
3210-3358 2
 
3.0%
Other values (15) 16
23.9%

Length

2024-05-11T00:55:40.246415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3674-7735 9
13.4%
2277-3015 9
13.4%
765-1907 7
10.4%
766-3211 7
10.4%
3676-8400 5
 
7.5%
2285-2096 5
 
7.5%
3674-6000 3
 
4.5%
3210-3358 2
 
3.0%
070-8145-3128 2
 
3.0%
739-9932 2
 
3.0%
Other values (15) 16
23.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)36.4%
Missing45
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean110355.55
Minimum110062
Maximum110833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T00:55:40.781342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110062
5-th percentile110111
Q1110111
median110420
Q3110524
95-th percentile110530
Maximum110833
Range771
Interquartile range (IQR)413

Descriptive statistics

Standard deviation214.52977
Coefficient of variation (CV)0.0019439872
Kurtosis-0.77092675
Mean110355.55
Median Absolute Deviation (MAD)107
Skewness0.096672707
Sum2427822
Variance46023.022
MonotonicityNot monotonic
2024-05-11T00:55:41.440398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
110111 7
 
10.4%
110524 5
 
7.5%
110420 4
 
6.0%
110530 2
 
3.0%
110470 1
 
1.5%
110320 1
 
1.5%
110833 1
 
1.5%
110062 1
 
1.5%
(Missing) 45
67.2%
ValueCountFrequency (%)
110062 1
 
1.5%
110111 7
10.4%
110320 1
 
1.5%
110420 4
6.0%
110470 1
 
1.5%
110524 5
7.5%
110530 2
 
3.0%
110833 1
 
1.5%
ValueCountFrequency (%)
110833 1
 
1.5%
110530 2
 
3.0%
110524 5
7.5%
110470 1
 
1.5%
110420 4
6.0%
110320 1
 
1.5%
110111 7
10.4%
110062 1
 
1.5%

지번주소
Text

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T00:55:42.362665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length24.41791
Min length20

Characters and Unicode

Total characters1636
Distinct characters88
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

Unique23 ?
Unique (%)34.3%

Sample

1st row서울특별시 종로구 연지동 270번지
2nd row서울특별시 종로구 낙원동 284-6번지
3rd row서울특별시 종로구 관철동 13-13번지
4th row서울특별시 종로구 관철동 13-13번지
5th row서울특별시 종로구 혜화동 185번지
ValueCountFrequency (%)
서울특별시 67
20.0%
종로구 66
19.7%
묘동 10
 
3.0%
관수동 10
 
3.0%
단성사 10
 
3.0%
59-7 9
 
2.7%
명륜2가 8
 
2.4%
41-9 8
 
2.4%
돈의동 8
 
2.4%
137 8
 
2.4%
Other values (54) 131
39.1%
2024-05-11T00:55:43.860953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
19.9%
로 75
 
4.6%
1 70
 
4.3%
서 67
 
4.1%
특 67
 
4.1%
별 67
 
4.1%
시 67
 
4.1%
구 67
 
4.1%
울 67
 
4.1%
종 66
 
4.0%
Other values (78) 698
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 979
59.8%
Space Separator 325
 
19.9%
Decimal Number 279
 
17.1%
Dash Punctuation 43
 
2.6%
Other Punctuation 5
 
0.3%
Uppercase Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 75
 
7.7%
서 67
 
6.8%
특 67
 
6.8%
별 67
 
6.8%
시 67
 
6.8%
구 67
 
6.8%
울 67
 
6.8%
종 66
 
6.7%
지 55
 
5.6%
동 50
 
5.1%
Other values (59) 331
33.8%
Decimal Number
ValueCountFrequency (%)
1 70
25.1%
2 41
14.7%
3 39
14.0%
5 33
11.8%
4 28
 
10.0%
7 22
 
7.9%
9 19
 
6.8%
6 18
 
6.5%
8 7
 
2.5%
0 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
V 1
33.3%
G 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
? 2
40.0%
Space Separator
ValueCountFrequency (%)
325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 979
59.8%
Common 654
40.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 75
 
7.7%
서 67
 
6.8%
특 67
 
6.8%
별 67
 
6.8%
시 67
 
6.8%
구 67
 
6.8%
울 67
 
6.8%
종 66
 
6.7%
지 55
 
5.6%
동 50
 
5.1%
Other values (59) 331
33.8%
Common
ValueCountFrequency (%)
325
49.7%
1 70
 
10.7%
- 43
 
6.6%
2 41
 
6.3%
3 39
 
6.0%
5 33
 
5.0%
4 28
 
4.3%
7 22
 
3.4%
9 19
 
2.9%
6 18
 
2.8%
Other values (6) 16
 
2.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
V 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 979
59.8%
ASCII 657
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
325
49.5%
1 70
 
10.7%
- 43
 
6.5%
2 41
 
6.2%
3 39
 
5.9%
5 33
 
5.0%
4 28
 
4.3%
7 22
 
3.3%
9 19
 
2.9%
6 18
 
2.7%
Other values (9) 19
 
2.9%
Hangul
ValueCountFrequency (%)
로 75
 
7.7%
서 67
 
6.8%
특 67
 
6.8%
별 67
 
6.8%
시 67
 
6.8%
구 67
 
6.8%
울 67
 
6.8%
종 66
 
6.7%
지 55
 
5.6%
동 50
 
5.1%
Other values (59) 331
33.8%

도로명주소
Text

MISSING 

Distinct40
Distinct (%)60.6%
Missing1
Missing (%)1.5%
Memory size668.0 B
2024-05-11T00:55:44.659738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length29.454545
Min length24

Characters and Unicode

Total characters1944
Distinct characters100
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

Unique26 ?
Unique (%)39.4%

Sample

1st row서울특별시 종로구 종로33길 15 (연지동)
2nd row서울특별시 종로구 삼일대로 428 (낙원동)
3rd row서울특별시 종로구 종로12길 15 (관철동)
4th row서울특별시 종로구 종로12길 15 (관철동)
5th row서울특별시 종로구 대학로 144 (혜화동)
ValueCountFrequency (%)
서울특별시 66
17.7%
종로구 65
17.5%
돈화문로 19
 
5.1%
1 12
 
3.2%
묘동,단성사 10
 
2.7%
26 10
 
2.7%
관수동 9
 
2.4%
13 9
 
2.4%
28 8
 
2.2%
대명길 8
 
2.2%
Other values (70) 156
41.9%
2024-05-11T00:55:46.253482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
 
17.1%
로 125
 
6.4%
종 68
 
3.5%
서 67
 
3.4%
( 67
 
3.4%
울 67
 
3.4%
) 67
 
3.4%
특 66
 
3.4%
별 66
 
3.4%
시 66
 
3.4%
Other values (90) 953
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1181
60.8%
Space Separator 332
 
17.1%
Decimal Number 237
 
12.2%
Open Punctuation 67
 
3.4%
Close Punctuation 67
 
3.4%
Other Punctuation 56
 
2.9%
Uppercase Letter 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 125
 
10.6%
종 68
 
5.8%
서 67
 
5.7%
울 67
 
5.7%
특 66
 
5.6%
별 66
 
5.6%
시 66
 
5.6%
구 66
 
5.6%
동 50
 
4.2%
층 50
 
4.2%
Other values (72) 490
41.5%
Decimal Number
ValueCountFrequency (%)
2 64
27.0%
1 56
23.6%
3 31
13.1%
8 21
 
8.9%
4 21
 
8.9%
6 19
 
8.0%
5 16
 
6.8%
7 8
 
3.4%
0 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
V 1
33.3%
C 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 55
98.2%
? 1
 
1.8%
Space Separator
ValueCountFrequency (%)
332
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1181
60.8%
Common 760
39.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 125
 
10.6%
종 68
 
5.8%
서 67
 
5.7%
울 67
 
5.7%
특 66
 
5.6%
별 66
 
5.6%
시 66
 
5.6%
구 66
 
5.6%
동 50
 
4.2%
층 50
 
4.2%
Other values (72) 490
41.5%
Common
ValueCountFrequency (%)
332
43.7%
( 67
 
8.8%
) 67
 
8.8%
2 64
 
8.4%
1 56
 
7.4%
, 55
 
7.2%
3 31
 
4.1%
8 21
 
2.8%
4 21
 
2.8%
6 19
 
2.5%
Other values (5) 27
 
3.6%
Latin
ValueCountFrequency (%)
G 1
33.3%
V 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1181
60.8%
ASCII 763
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
43.5%
( 67
 
8.8%
) 67
 
8.8%
2 64
 
8.4%
1 56
 
7.3%
, 55
 
7.2%
3 31
 
4.1%
8 21
 
2.8%
4 21
 
2.8%
6 19
 
2.5%
Other values (8) 30
 
3.9%
Hangul
ValueCountFrequency (%)
로 125
 
10.6%
종 68
 
5.8%
서 67
 
5.7%
울 67
 
5.7%
특 66
 
5.6%
별 66
 
5.6%
시 66
 
5.6%
구 66
 
5.6%
동 50
 
4.2%
층 50
 
4.2%
Other values (72) 490
41.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)42.1%
Missing48
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean8847
Minimum3077
Maximum110062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T00:55:46.842427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3077
5-th percentile3132.8
Q13176
median3192
Q33192
95-th percentile14652.1
Maximum110062
Range106985
Interquartile range (IQR)16

Descriptive statistics

Standard deviation24511.169
Coefficient of variation (CV)2.7705627
Kurtosis18.996942
Mean8847
Median Absolute Deviation (MAD)8
Skewness4.3584019
Sum168093
Variance6.0079739 × 108
MonotonicityNot monotonic
2024-05-11T00:55:47.430692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3192 9
 
13.4%
3176 3
 
4.5%
3184 2
 
3.0%
4051 1
 
1.5%
3140 1
 
1.5%
3077 1
 
1.5%
3139 1
 
1.5%
110062 1
 
1.5%
(Missing) 48
71.6%
ValueCountFrequency (%)
3077 1
 
1.5%
3139 1
 
1.5%
3140 1
 
1.5%
3176 3
 
4.5%
3184 2
 
3.0%
3192 9
13.4%
4051 1
 
1.5%
110062 1
 
1.5%
ValueCountFrequency (%)
110062 1
 
1.5%
4051 1
 
1.5%
3192 9
13.4%
3184 2
 
3.0%
3176 3
 
4.5%
3140 1
 
1.5%
3139 1
 
1.5%
3077 1
 
1.5%

사업장명
Text

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T00:55:48.052880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length9.8358209
Min length3

Characters and Unicode

Total characters659
Distinct characters93
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)86.6%

Sample

1st row연강홀
2nd row필름포럼1관
3rd row코아아트홀 1관
4th row코아아트홀 2관
5th row동숭시네마텍 1관
ValueCountFrequency (%)
1관 11
 
7.7%
단성사 10
 
7.0%
2관 10
 
7.0%
cgv 10
 
7.0%
아산엠인터내셔널 10
 
7.0%
서울극장 9
 
6.3%
대학로 8
 
5.6%
3관 6
 
4.2%
5관 6
 
4.2%
cgv피카디리1958 6
 
4.2%
Other values (31) 57
39.9%
2024-05-11T00:55:49.610099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
11.5%
관 56
 
8.5%
1 22
 
3.3%
장 20
 
3.0%
극 20
 
3.0%
아 18
 
2.7%
네 17
 
2.6%
V 16
 
2.4%
G 16
 
2.4%
C 16
 
2.4%
Other values (83) 382
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 447
67.8%
Decimal Number 86
 
13.1%
Space Separator 76
 
11.5%
Uppercase Letter 50
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 56
 
12.5%
장 20
 
4.5%
극 20
 
4.5%
아 18
 
4.0%
네 17
 
3.8%
스 13
 
2.9%
로 11
 
2.5%
인 11
 
2.5%
성 10
 
2.2%
터 10
 
2.2%
Other values (67) 261
58.4%
Decimal Number
ValueCountFrequency (%)
1 22
25.6%
5 14
16.3%
8 11
12.8%
2 11
12.8%
9 8
 
9.3%
3 7
 
8.1%
4 5
 
5.8%
7 4
 
4.7%
6 3
 
3.5%
0 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
V 16
32.0%
G 16
32.0%
C 16
32.0%
D 1
 
2.0%
H 1
 
2.0%
Space Separator
ValueCountFrequency (%)
76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
67.8%
Common 162
 
24.6%
Latin 50
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 56
 
12.5%
장 20
 
4.5%
극 20
 
4.5%
아 18
 
4.0%
네 17
 
3.8%
스 13
 
2.9%
로 11
 
2.5%
인 11
 
2.5%
성 10
 
2.2%
터 10
 
2.2%
Other values (67) 261
58.4%
Common
ValueCountFrequency (%)
76
46.9%
1 22
 
13.6%
5 14
 
8.6%
8 11
 
6.8%
2 11
 
6.8%
9 8
 
4.9%
3 7
 
4.3%
4 5
 
3.1%
7 4
 
2.5%
6 3
 
1.9%
Latin
ValueCountFrequency (%)
V 16
32.0%
G 16
32.0%
C 16
32.0%
D 1
 
2.0%
H 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 447
67.8%
ASCII 212
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
35.8%
1 22
 
10.4%
V 16
 
7.5%
G 16
 
7.5%
C 16
 
7.5%
5 14
 
6.6%
8 11
 
5.2%
2 11
 
5.2%
9 8
 
3.8%
3 7
 
3.3%
Other values (6) 15
 
7.1%
Hangul
ValueCountFrequency (%)
관 56
 
12.5%
장 20
 
4.5%
극 20
 
4.5%
아 18
 
4.0%
네 17
 
3.8%
스 13
 
2.9%
로 11
 
2.5%
인 11
 
2.5%
성 10
 
2.2%
터 10
 
2.2%
Other values (67) 261
58.4%

최종수정일자
Date

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2003-07-31 09:40:49
Maximum2024-04-30 12:58:48
2024-05-11T00:55:50.165215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:55:50.810607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
U
36 
I
31 

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 (%)
U 36
53.7%
I 31
46.3%

Length

2024-05-11T00:55:51.421470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:51.966385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 36
53.7%
i 31
46.3%

데이터갱신일자
Categorical

Distinct15
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
2018-08-31 23:59:59.0
31 
2021-04-25 02:40:00.0
10 
2021-09-09 02:40:00.0
8 
2021-12-03 23:03:00.0
4 
2023-12-05 00:02:00.0
 
2
Other values (10)
12 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)11.9%

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 31
46.3%
2021-04-25 02:40:00.0 10
 
14.9%
2021-09-09 02:40:00.0 8
 
11.9%
2021-12-03 23:03:00.0 4
 
6.0%
2023-12-05 00:02:00.0 2
 
3.0%
2022-11-01 00:08:00.0 2
 
3.0%
2021-11-21 02:40:00.0 2
 
3.0%
2022-02-23 02:40:00.0 1
 
1.5%
2020-03-25 02:40:00.0 1
 
1.5%
2018-11-12 04:00:00.0 1
 
1.5%
Other values (5) 5
 
7.5%

Length

2024-05-11T00:55:52.484673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 31
23.1%
23:59:59.0 31
23.1%
02:40:00.0 25
18.7%
2021-04-25 10
 
7.5%
2021-09-09 8
 
6.0%
2021-12-03 4
 
3.0%
23:03:00.0 4
 
3.0%
2022-11-01 2
 
1.5%
00:08:00.0 2
 
1.5%
2021-11-21 2
 
1.5%
Other values (13) 15
11.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199048.3
Minimum193282.13
Maximum200257.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T00:55:52.978582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193282.13
5-th percentile197428.92
Q1198883.5
median199205.33
Q3199855.54
95-th percentile200018.7
Maximum200257.12
Range6974.9849
Interquartile range (IQR)972.04703

Descriptive statistics

Standard deviation1054.2847
Coefficient of variation (CV)0.0052966275
Kurtosis12.753505
Mean199048.3
Median Absolute Deviation (MAD)352.37013
Skewness-2.8578824
Sum13336236
Variance1111516.2
MonotonicityNot monotonic
2024-05-11T00:55:53.485783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
199205.329842153 10
14.9%
199269.115470782 10
14.9%
199916.833506015 8
11.9%
199155.542697952 6
9.0%
198883.495161441 5
7.5%
199972.881431778 5
7.5%
197428.923002637 4
 
6.0%
198852.959716775 3
 
4.5%
198697.706712628 2
 
3.0%
200121.813720325 2
 
3.0%
Other values (9) 12
17.9%
ValueCountFrequency (%)
193282.130799848 1
 
1.5%
197193.771272123 2
 
3.0%
197428.923002637 4
6.0%
197482.205329945 2
 
3.0%
198326.378176607 1
 
1.5%
198697.706712628 2
 
3.0%
198852.959716775 3
4.5%
198883.495161441 5
7.5%
199155.542697952 6
9.0%
199155.544853099 2
 
3.0%
ValueCountFrequency (%)
200257.115683163 1
 
1.5%
200121.813720325 2
 
3.0%
200038.343054497 1
 
1.5%
199972.881431778 5
7.5%
199916.833506015 8
11.9%
199794.250869762 1
 
1.5%
199666.948921028 1
 
1.5%
199269.115470782 10
14.9%
199205.329842153 10
14.9%
199155.544853099 2
 
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452373.07
Minimum450549.28
Maximum453518.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T00:55:53.912458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450549.28
5-th percentile451852.44
Q1451945.82
median452076.23
Q3453161.37
95-th percentile453462.42
Maximum453518.01
Range2968.7272
Interquartile range (IQR)1215.5454

Descriptive statistics

Standard deviation662.96408
Coefficient of variation (CV)0.0014655251
Kurtosis-0.24069577
Mean452373.07
Median Absolute Deviation (MAD)130.40363
Skewness0.62533669
Sum30308995
Variance439521.37
MonotonicityNot monotonic
2024-05-11T00:55:54.431031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
451945.821955137 10
14.9%
452076.225584316 10
14.9%
453462.420943009 8
11.9%
452083.12305066 6
9.0%
451852.440739439 5
7.5%
453308.674806807 5
7.5%
452041.177877529 4
 
6.0%
452253.942584507 3
 
4.5%
451897.834324531 2
 
3.0%
453518.007319338 2
 
3.0%
Other values (9) 12
17.9%
ValueCountFrequency (%)
450549.280167182 1
 
1.5%
451852.440739439 5
7.5%
451891.4859896 1
 
1.5%
451897.834324531 2
 
3.0%
451938.30792481 2
 
3.0%
451945.821955137 10
14.9%
452041.177877529 4
 
6.0%
452076.225584316 10
14.9%
452083.12305066 6
9.0%
452083.125538906 2
 
3.0%
ValueCountFrequency (%)
453518.007319338 2
 
3.0%
453485.12004217 1
 
1.5%
453462.420943009 8
11.9%
453452.586227938 1
 
1.5%
453308.674806807 5
7.5%
453014.059924892 1
 
1.5%
452253.942584507 3
 
4.5%
452199.428810287 2
 
3.0%
452178.774541021 1
 
1.5%
452083.125538906 2
 
3.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
영화상영관
57 
<NA>
10 

Length

Max length5
Median length5
Mean length4.8507463
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 57
85.1%
<NA> 10
 
14.9%

Length

2024-05-11T00:55:55.111479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:55.585082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 57
85.1%
na 10
 
14.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
영화상영관
51 
<NA>
16 

Length

Max length5
Median length5
Mean length4.761194
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 51
76.1%
<NA> 16
 
23.9%

Length

2024-05-11T00:55:55.948054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:56.350741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 51
76.1%
na 16
 
23.9%

총층수
Categorical

Distinct6
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
48 
0
12 
4
 
4
9
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.1492537
Min length1

Unique

Unique3 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
71.6%
0 12
 
17.9%
4 4
 
6.0%
9 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%

Length

2024-05-11T00:55:56.888714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:57.436551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
71.6%
0 12
 
17.9%
4 4
 
6.0%
9 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

시설면적
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
54 
0
13 

Length

Max length4
Median length4
Mean length3.4179104
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> 54
80.6%
0 13
 
19.4%

Length

2024-05-11T00:55:57.956238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:58.494263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
80.6%
0 13
 
19.4%

지상층수
Categorical

Distinct6
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
41 
0
10 
3
7 
9
6 
6
 
2

Length

Max length4
Median length4
Mean length2.8358209
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
61.2%
0 10
 
14.9%
3 7
 
10.4%
9 6
 
9.0%
6 2
 
3.0%
1 1
 
1.5%

Length

2024-05-11T00:55:59.012202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:59.454191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
61.2%
0 10
 
14.9%
3 7
 
10.4%
9 6
 
9.0%
6 2
 
3.0%
1 1
 
1.5%

지하층수
Categorical

Distinct6
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
41 
0
10 
6
6 
2
 
4
1
 
4

Length

Max length4
Median length4
Mean length2.8358209
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> 41
61.2%
0 10
 
14.9%
6 6
 
9.0%
2 4
 
6.0%
1 4
 
6.0%
3 2
 
3.0%

Length

2024-05-11T00:55:59.917337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:00.367068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
61.2%
0 10
 
14.9%
6 6
 
9.0%
2 4
 
6.0%
1 4
 
6.0%
3 2
 
3.0%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
61 
근린생활시설
 
5
문화시설
 
1

Length

Max length6
Median length4
Mean length4.1492537
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
91.0%
근린생활시설 5
 
7.5%
문화시설 1
 
1.5%

Length

2024-05-11T00:56:00.825450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:01.188226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
91.0%
근린생활시설 5
 
7.5%
문화시설 1
 
1.5%

통로너비
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
53 
0
13 
1
 
1

Length

Max length4
Median length4
Mean length3.3731343
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
79.1%
0 13
 
19.4%
1 1
 
1.5%

Length

2024-05-11T00:56:01.636411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:02.133438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
79.1%
0 13
 
19.4%
1 1
 
1.5%

조명시설조도
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
54 
0
13 

Length

Max length4
Median length4
Mean length3.4179104
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> 54
80.6%
0 13
 
19.4%

Length

2024-05-11T00:56:02.595306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:03.062671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
80.6%
0 13
 
19.4%

노래방실수
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
54 
0
13 

Length

Max length4
Median length4
Mean length3.4179104
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> 54
80.6%
0 13
 
19.4%

Length

2024-05-11T00:56:03.663959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:04.122549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
80.6%
0 13
 
19.4%

청소년실수
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
54 
0
13 

Length

Max length4
Median length4
Mean length3.4179104
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> 54
80.6%
0 13
 
19.4%

Length

2024-05-11T00:56:04.526438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:04.936284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
80.6%
0 13
 
19.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
54 
0
13 

Length

Max length4
Median length4
Mean length3.4179104
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> 54
80.6%
0 13
 
19.4%

Length

2024-05-11T00:56:05.458921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:05.910667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
80.6%
0 13
 
19.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

공연장형태구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
영화관
57 
<NA>
10 

Length

Max length4
Median length3
Mean length3.1492537
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 57
85.1%
<NA> 10
 
14.9%

Length

2024-05-11T00:56:06.590101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:56:07.017735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 57
85.1%
na 10
 
14.9%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)26.3%
Missing10
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean20046760
Minimum20020201
Maximum20180713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T00:56:07.395168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020201
5-th percentile20030212
Q120030212
median20030802
Q320050126
95-th percentile20112523
Maximum20180713
Range160512
Interquartile range (IQR)19914

Descriptive statistics

Standard deviation32103.231
Coefficient of variation (CV)0.0016014175
Kurtosis7.3689848
Mean20046760
Median Absolute Deviation (MAD)590
Skewness2.7031465
Sum1.1426653 × 109
Variance1.0306174 × 109
MonotonicityIncreasing
2024-05-11T00:56:08.083133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20030212 25
37.3%
20050126 7
 
10.4%
20040630 6
 
9.0%
20041112 6
 
9.0%
20030802 3
 
4.5%
20020201 1
 
1.5%
20030918 1
 
1.5%
20061227 1
 
1.5%
20081111 1
 
1.5%
20100415 1
 
1.5%
Other values (5) 5
 
7.5%
(Missing) 10
 
14.9%
ValueCountFrequency (%)
20020201 1
 
1.5%
20030212 25
37.3%
20030802 3
 
4.5%
20030918 1
 
1.5%
20040630 6
 
9.0%
20041112 6
 
9.0%
20050126 7
 
10.4%
20061227 1
 
1.5%
20081111 1
 
1.5%
20100415 1
 
1.5%
ValueCountFrequency (%)
20180713 1
 
1.5%
20160309 1
 
1.5%
20120525 1
 
1.5%
20110523 1
 
1.5%
20110323 1
 
1.5%
20100415 1
 
1.5%
20081111 1
 
1.5%
20061227 1
 
1.5%
20050126 7
10.4%
20041112 6
9.0%

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size668.0 B
2024-05-11T00:56:08.582605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters10
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

Unique2 ?
Unique (%)100.0%

Sample

1st row근린상업지역
2nd row일반주거지역
ValueCountFrequency (%)
근린상업지역 1
50.0%
일반주거지역 1
50.0%
2024-05-11T00:56:09.320629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF422000200200000120020201<NA>3폐업3폐업20081226<NA><NA><NA>708-5003<NA>110470서울특별시 종로구 연지동 270번지서울특별시 종로구 종로33길 15 (연지동)<NA>연강홀2008-12-26 10:48:39I2018-08-31 23:59:59.0<NA>200038.343054452178.774541영화상영관영화상영관<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>영화관<NA>20020201<NA>
13000000CDFF422000200300000120030212<NA>3폐업3폐업20080403<NA><NA><NA>745-4231<NA>110320서울특별시 종로구 낙원동 284-6번지서울특별시 종로구 삼일대로 428 (낙원동)<NA>필름포럼1관2008-06-30 14:58:20I2018-08-31 23:59:59.0<NA>198852.959717452253.942585영화상영관영화상영관<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>영화관<NA>20030212<NA>
23000000CDFF422000200300000220030212<NA>3폐업3폐업20041125<NA><NA><NA>739-9932<NA>110111서울특별시 종로구 관철동 13-13번지서울특별시 종로구 종로12길 15 (관철동)<NA>코아아트홀 1관2004-12-03 14:22:34I2018-08-31 23:59:59.0<NA>198697.706713451897.834325영화상영관영화상영관<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>영화관<NA>20030212<NA>
33000000CDFF422000200300000320030212<NA>3폐업3폐업20041125<NA><NA><NA>739-9932<NA>110111서울특별시 종로구 관철동 13-13번지서울특별시 종로구 종로12길 15 (관철동)<NA>코아아트홀 2관2004-12-03 14:23:13I2018-08-31 23:59:59.0<NA>198697.706713451897.834325영화상영관영화상영관<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>영화관<NA>20030212<NA>
43000000CDFF422000200300000420030212<NA>3폐업3폐업20030730<NA><NA><NA>3672-0182<NA>110530서울특별시 종로구 혜화동 185번지서울특별시 종로구 대학로 144 (혜화동)<NA>동숭시네마텍 1관2003-07-31 09:40:49I2018-08-31 23:59:59.0<NA>200121.81372453518.007319영화상영관영화상영관<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>영화관<NA>20030212<NA>
53000000CDFF422000200300000520030212<NA>3폐업3폐업20041015<NA><NA><NA>3672-0182<NA>110530서울특별시 종로구 혜화동 185번지서울특별시 종로구 대학로 144 (혜화동)<NA>동숭시네마텍 2관2005-09-06 13:43:15I2018-08-31 23:59:59.0<NA>200121.81372453518.007319영화상영관영화상영관<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>영화관<NA>20030212<NA>
63000000CDFF422000200300000620030212<NA>3폐업3폐업<NA><NA><NA><NA>2277-3015<NA>110420서울특별시 종로구 관수동 59-7번지 4층, 5중?상층<NA><NA>서울극장 1관2014-04-03 19:05:59I2018-08-31 23:59:59.0<NA>199205.329842451945.821955영화상영관영화상영관<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>영화관<NA>20030212<NA>
73000000CDFF422000200300000720030212<NA>3폐업3폐업20210907<NA><NA><NA>2277-3015<NA>110420서울특별시 종로구 관수동 59-7 2층, 3중?상층서울특별시 종로구 돈화문로 13, 2층, 3중?상층 (관수동)3192서울극장 2관2021-09-07 12:58:29U2021-09-09 02:40:00.0<NA>199205.329842451945.821955영화상영관영화상영관0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030212<NA>
83000000CDFF422000200300000820030212<NA>3폐업3폐업20210907<NA><NA><NA>2277-3015<NA><NA>서울특별시 종로구 관수동 59-7 지하1층서울특별시 종로구 돈화문로 13, 지하1층 (관수동, 서울극장)3192서울극장 3관2021-09-07 12:58:48U2021-09-09 02:40:00.0<NA>199205.329842451945.821955영화상영관영화상영관0<NA><NA>062<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030212<NA>
93000000CDFF422000200300000920030212<NA>3폐업3폐업20210907<NA><NA><NA>2277-3015<NA>110420서울특별시 종로구 관수동 59-7 5층서울특별시 종로구 돈화문로 13, 5층 (관수동)3192서울극장 5관2021-09-07 12:59:05U2021-09-09 02:40:00.0<NA>199205.329842451945.821955영화상영관영화상영관0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030212<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
573000000CDFF422000200600000220060925<NA>4취소/말소/만료/정지/중지35직권말소20220411<NA><NA><NA>3674-6000<NA><NA>서울특별시 종로구 묘동 56 단성사 지하2층서울특별시 종로구 돈화문로 26 (묘동,단성사 지하2층)<NA>아산엠인터내셔널 단성사 2관2022-04-11 13:28:25U2021-12-03 23:03:00.0<NA>199269.115471452076.225584<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>
583000000CDFF422000200600000320060925<NA>4취소/말소/만료/정지/중지35직권말소20220411<NA><NA><NA>3674-6000<NA><NA>서울특별시 종로구 묘동 56 단성사 지하2층서울특별시 종로구 돈화문로 26 (묘동,단성사 지하2층)<NA>아산엠인터내셔널 단성사 3관2022-04-11 13:28:12U2021-12-03 23:03:00.0<NA>199269.115471452076.225584<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>
593000000CDFF422000200600000420061227<NA>3폐업3폐업20100409<NA><NA><NA>3210-3358<NA>110062서울특별시 종로구 신문로2가 1-153번지 2층서울특별시 종로구 경희궁1길 1 (신문로2가,2층)<NA>미로스페이스2010-04-15 12:25:10I2018-08-31 23:59:59.0<NA>197428.923003452041.177878영화상영관영화상영관<NA><NA><NA><NA>31근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20061227근린상업지역
603000000CDFF422000200800000120081111<NA>3폐업3폐업20151201<NA><NA><NA>730-3200<NA><NA>서울특별시 종로구 소격동 144-2번지 (지하1층)서울특별시 종로구 율곡로3길 87 (소격동,(지하1층))<NA>씨네코드 선재2015-12-02 16:50:40I2018-08-31 23:59:59.0<NA>198326.378177453014.059925영화상영관영화상영관6<NA><NA><NA>33근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20081111일반주거지역
613000000CDFF422000201000000120100415<NA>3폐업3폐업20220217<NA><NA><NA>3210-3358<NA><NA>서울특별시 종로구 신문로2가 1-153 2층서울특별시 종로구 경희궁1길 1 (신문로2가,2층)<NA>독립영화전용관 시네마루2022-03-25 13:09:35U2022-03-27 02:40:00.0<NA>197428.923003452041.177878영화상영관<NA>4<NA><NA>013<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20100415<NA>
623000000CDFF422000201100000120110323<NA>3폐업3폐업20120529<NA><NA><NA>3210-3358,737-2567<NA><NA>서울특별시 종로구 신문로2가 1-153번지 가든플레이스 2층서울특별시 종로구 경희궁1길 1, 2층 (신문로2가, 가든플레이스)110062미로스페이스2012-06-08 14:44:56I2018-08-31 23:59:59.0<NA>197428.923003452041.177878영화상영관<NA>4<NA><NA><NA>31문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110323<NA>
633000000CDFF422000201100000220110523<NA>3폐업3폐업20130809<NA><NA><NA>743-3422<NA><NA>서울특별시 종로구 명륜3가 109-4번지 지하1층서울특별시 종로구 성균관로3길 20-4 (명륜3가,지하1층)<NA>3D상상극장2013-08-09 16:53:32I2018-08-31 23:59:59.0<NA>199666.948921453452.586228영화상영관<NA>4<NA><NA><NA>31근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110523<NA>
643000000CDFF422000201200000120120525<NA>4취소/말소/만료/정지/중지35직권말소20171115<NA><NA><NA>737-2567<NA><NA>서울특별시 종로구 신문로2가 1-153번지 가든플레이스 2층서울특별시 종로구 경희궁1길 1, 2층 (신문로2가, 가든플레이스)3176미로스페이스2017-11-15 17:07:33I2018-08-31 23:59:59.0<NA>197428.923003452041.177878영화상영관<NA>4<NA><NA><NA>31근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20120525<NA>
653000000CDFF422000201600000120160309<NA>1영업/정상13영업중<NA><NA><NA><NA>02)730-5515<NA><NA>서울특별시 종로구 신문로2가 1-181번지서울특별시 종로구 경희궁1가길 7, 2층 (신문로2가, 복합문화공간에무)3176에무 시네마 1관2019-05-01 15:25:08U2019-05-03 02:40:00.0<NA>197193.771272452199.42881영화상영관<NA>5<NA><NA><NA>32<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20160309<NA>
663000000CDFF422000201800000120180713<NA>1영업/정상13영업중<NA><NA><NA><NA>02-730-5604<NA><NA>서울특별시 종로구 신문로2가 1-181번지 복합문화공간 에무 3층서울특별시 종로구 경희궁1가길 7, 복합문화공간 에무 3층 (신문로2가)3176에무 시네마 2관2018-07-13 10:49:54I2018-08-31 23:59:59.0<NA>197193.771272452199.42881영화상영관<NA><NA><NA><NA><NA>32근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180713<NA>