Overview

Dataset statistics

Number of variables56
Number of observations269
Missing cells7447
Missing cells (%)49.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.6 KiB
Average record size in memory489.5 B

Variable types

Categorical17
Text7
DateTime4
Unsupported25
Numeric3

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-17727/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (94.7%)Imbalance
영업상태코드 is highly imbalanced (52.7%)Imbalance
영업상태명 is highly imbalanced (52.7%)Imbalance
상세영업상태코드 is highly imbalanced (57.8%)Imbalance
상세영업상태명 is highly imbalanced (57.8%)Imbalance
총층수 is highly imbalanced (75.4%)Imbalance
시설면적 is highly imbalanced (75.4%)Imbalance
지상층수 is highly imbalanced (75.4%)Imbalance
지하층수 is highly imbalanced (75.4%)Imbalance
통로너비 is highly imbalanced (75.4%)Imbalance
조명시설조도 is highly imbalanced (75.4%)Imbalance
노래방실수 is highly imbalanced (75.4%)Imbalance
청소년실수 is highly imbalanced (75.4%)Imbalance
총게임기수 is highly imbalanced (75.4%)Imbalance
폐업일자 has 216 (80.3%) missing valuesMissing
휴업시작일자 has 269 (100.0%) missing valuesMissing
휴업종료일자 has 269 (100.0%) missing valuesMissing
재개업일자 has 269 (100.0%) missing valuesMissing
전화번호 has 128 (47.6%) missing valuesMissing
소재지면적 has 269 (100.0%) missing valuesMissing
소재지우편번호 has 223 (82.9%) missing valuesMissing
도로명주소 has 6 (2.2%) missing valuesMissing
도로명우편번호 has 83 (30.9%) missing valuesMissing
업태구분명 has 269 (100.0%) missing valuesMissing
좌표정보(X) has 6 (2.2%) missing valuesMissing
좌표정보(Y) has 6 (2.2%) missing valuesMissing
문화사업자구분명 has 269 (100.0%) missing valuesMissing
주변환경명 has 269 (100.0%) missing valuesMissing
제작취급품목내용 has 269 (100.0%) missing valuesMissing
건물용도명 has 269 (100.0%) missing valuesMissing
비상계단여부 has 269 (100.0%) missing valuesMissing
비상구여부 has 269 (100.0%) missing valuesMissing
자동환기여부 has 269 (100.0%) missing valuesMissing
청소년실여부 has 269 (100.0%) missing valuesMissing
특수조명여부 has 269 (100.0%) missing valuesMissing
방음시설여부 has 269 (100.0%) missing valuesMissing
비디오재생기명 has 269 (100.0%) missing valuesMissing
조명시설유무 has 269 (100.0%) missing valuesMissing
음향시설여부 has 269 (100.0%) missing valuesMissing
편의시설여부 has 269 (100.0%) missing valuesMissing
소방시설여부 has 269 (100.0%) missing valuesMissing
기존게임업외업종명 has 269 (100.0%) missing valuesMissing
제공게임물명 has 269 (100.0%) missing valuesMissing
공연장형태구분명 has 269 (100.0%) missing valuesMissing
품목명 has 269 (100.0%) missing valuesMissing
최초등록시점 has 54 (20.1%) missing valuesMissing
지역구분명 has 269 (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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:03:20.013528
Analysis finished2024-05-11 06:03:22.115200
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3000000
269 

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 269
100.0%

Length

2024-05-11T06:03:22.366087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:22.693557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 269
100.0%

관리번호
Text

UNIQUE 

Distinct269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T06:03:23.163601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5380
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

Unique269 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011986000001
2nd rowCDFF5211011987000001
3rd rowCDFF5211011990000001
4th rowCDFF5211011992000001
5th rowCDFF5211011994000001
ValueCountFrequency (%)
cdff5211011986000001 1
 
0.4%
cdff5211012017000012 1
 
0.4%
cdff5211012017000014 1
 
0.4%
cdff5211012018000001 1
 
0.4%
cdff5211012018000002 1
 
0.4%
cdff5211012018000003 1
 
0.4%
cdff5211012018000005 1
 
0.4%
cdff5211012018000006 1
 
0.4%
cdff5211012018000007 1
 
0.4%
cdff5211012018000008 1
 
0.4%
Other values (259) 259
96.3%
2024-05-11T06:03:24.080994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1890
35.1%
1 1103
20.5%
2 674
 
12.5%
F 538
 
10.0%
5 312
 
5.8%
C 269
 
5.0%
D 269
 
5.0%
9 71
 
1.3%
4 59
 
1.1%
3 57
 
1.1%
Other values (3) 138
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4304
80.0%
Uppercase Letter 1076
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1890
43.9%
1 1103
25.6%
2 674
 
15.7%
5 312
 
7.2%
9 71
 
1.6%
4 59
 
1.4%
3 57
 
1.3%
8 51
 
1.2%
7 44
 
1.0%
6 43
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 538
50.0%
C 269
25.0%
D 269
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4304
80.0%
Latin 1076
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1890
43.9%
1 1103
25.6%
2 674
 
15.7%
5 312
 
7.2%
9 71
 
1.6%
4 59
 
1.4%
3 57
 
1.3%
8 51
 
1.2%
7 44
 
1.0%
6 43
 
1.0%
Latin
ValueCountFrequency (%)
F 538
50.0%
C 269
25.0%
D 269
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1890
35.1%
1 1103
20.5%
2 674
 
12.5%
F 538
 
10.0%
5 312
 
5.8%
C 269
 
5.0%
D 269
 
5.0%
9 71
 
1.3%
4 59
 
1.1%
3 57
 
1.1%
Other values (3) 138
 
2.6%

인허가일자
Date

Distinct256
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1986-06-14 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T06:03:24.755567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:03:25.348334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
266 
20230113
 
1
20150226
 
1
20141230
 
1

Length

Max length8
Median length4
Mean length4.0446097
Min length4

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 266
98.9%
20230113 1
 
0.4%
20150226 1
 
0.4%
20141230 1
 
0.4%

Length

2024-05-11T06:03:25.844793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:26.218594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 266
98.9%
20230113 1
 
0.4%
20150226 1
 
0.4%
20141230 1
 
0.4%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
213 
3
42 
5
 
11
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 213
79.2%
3 42
 
15.6%
5 11
 
4.1%
4 3
 
1.1%

Length

2024-05-11T06:03:26.678647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:27.081627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 213
79.2%
3 42
 
15.6%
5 11
 
4.1%
4 3
 
1.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업/정상
213 
폐업
42 
제외/삭제/전출
 
11
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length4.7546468
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 213
79.2%
폐업 42
 
15.6%
제외/삭제/전출 11
 
4.1%
취소/말소/만료/정지/중지 3
 
1.1%

Length

2024-05-11T06:03:27.480150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:27.897052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 213
79.2%
폐업 42
 
15.6%
제외/삭제/전출 11
 
4.1%
취소/말소/만료/정지/중지 3
 
1.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
13
212 
3
42 
15
 
11
32
 
3
14
 
1

Length

Max length2
Median length2
Mean length1.8438662
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row3
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 212
78.8%
3 42
 
15.6%
15 11
 
4.1%
32 3
 
1.1%
14 1
 
0.4%

Length

2024-05-11T06:03:28.328546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:28.712037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 212
78.8%
3 42
 
15.6%
15 11
 
4.1%
32 3
 
1.1%
14 1
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업중
212 
폐업
42 
전출
 
11
신고취소
 
3
전입
 
1

Length

Max length4
Median length3
Mean length2.8104089
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 212
78.8%
폐업 42
 
15.6%
전출 11
 
4.1%
신고취소 3
 
1.1%
전입 1
 
0.4%

Length

2024-05-11T06:03:29.241711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:29.662300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 212
78.8%
폐업 42
 
15.6%
전출 11
 
4.1%
신고취소 3
 
1.1%
전입 1
 
0.4%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)98.1%
Missing216
Missing (%)80.3%
Memory size2.2 KiB
Minimum2010-04-14 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T06:03:30.216420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:03:30.674867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

전화번호
Text

MISSING 

Distinct138
Distinct (%)97.9%
Missing128
Missing (%)47.6%
Memory size2.2 KiB
2024-05-11T06:03:31.532920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.6028369
Min length7

Characters and Unicode

Total characters1354
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)95.7%

Sample

1st row394-5411
2nd row744-4013
3rd row307-1241
4th row3676-2220
5th row741-0250
ValueCountFrequency (%)
744-5441 2
 
1.4%
02-744-7090 2
 
1.4%
744-4248 2
 
1.4%
02-741-3296 1
 
0.7%
027331087 1
 
0.7%
02-730-0747 1
 
0.7%
070-4616-2855 1
 
0.7%
02-722-4966 1
 
0.7%
02-532-4875 1
 
0.7%
394-5411 1
 
0.7%
Other values (128) 128
90.8%
2024-05-11T06:03:33.235197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
14.5%
- 171
12.6%
7 166
12.3%
2 154
11.4%
3 137
10.1%
4 114
8.4%
1 100
7.4%
5 93
6.9%
6 89
6.6%
8 67
 
4.9%
Other values (3) 67
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1177
86.9%
Dash Punctuation 171
 
12.6%
Close Punctuation 5
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
16.7%
7 166
14.1%
2 154
13.1%
3 137
11.6%
4 114
9.7%
1 100
8.5%
5 93
7.9%
6 89
7.6%
8 67
 
5.7%
9 61
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1354
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
14.5%
- 171
12.6%
7 166
12.3%
2 154
11.4%
3 137
10.1%
4 114
8.4%
1 100
7.4%
5 93
6.9%
6 89
6.6%
8 67
 
4.9%
Other values (3) 67
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
14.5%
- 171
12.6%
7 166
12.3%
2 154
11.4%
3 137
10.1%
4 114
8.4%
1 100
7.4%
5 93
6.9%
6 89
6.6%
8 67
 
4.9%
Other values (3) 67
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)67.4%
Missing223
Missing (%)82.9%
Memory size2.2 KiB
2024-05-11T06:03:33.857576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0217391
Min length6

Characters and Unicode

Total characters277
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

Unique21 ?
Unique (%)45.7%

Sample

1st row110320
2nd row110521
3rd row110785
4th row110500
5th row110350
ValueCountFrequency (%)
110521 5
 
10.9%
110795 3
 
6.5%
110530 3
 
6.5%
110091 2
 
4.3%
110844 2
 
4.3%
110040 2
 
4.3%
110848 2
 
4.3%
110070 2
 
4.3%
110500 2
 
4.3%
110809 2
 
4.3%
Other values (21) 21
45.7%
2024-05-11T06:03:35.102827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 104
37.5%
0 80
28.9%
5 17
 
6.1%
8 16
 
5.8%
4 13
 
4.7%
2 11
 
4.0%
7 11
 
4.0%
3 10
 
3.6%
9 9
 
3.2%
6 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 276
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 104
37.7%
0 80
29.0%
5 17
 
6.2%
8 16
 
5.8%
4 13
 
4.7%
2 11
 
4.0%
7 11
 
4.0%
3 10
 
3.6%
9 9
 
3.3%
6 5
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 104
37.5%
0 80
28.9%
5 17
 
6.1%
8 16
 
5.8%
4 13
 
4.7%
2 11
 
4.0%
7 11
 
4.0%
3 10
 
3.6%
9 9
 
3.2%
6 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 104
37.5%
0 80
28.9%
5 17
 
6.1%
8 16
 
5.8%
4 13
 
4.7%
2 11
 
4.0%
7 11
 
4.0%
3 10
 
3.6%
9 9
 
3.2%
6 5
 
1.8%

지번주소
Text

Distinct240
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T06:03:35.902746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length25.6171
Min length17

Characters and Unicode

Total characters6891
Distinct characters234
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)82.2%

Sample

1st row서울특별시 종로구 부암동 ***-*번지 한국금박빌딩 ***호
2nd row서울특별시 종로구 낙원동 ***-*번지
3rd row서울특별시 종로구 명륜*가 **-**번지
4th row서울특별시 종로구 돈의동 ***번지
5th row서울특별시 종로구 명륜*가 **-**번지
ValueCountFrequency (%)
서울특별시 269
20.0%
종로구 269
20.0%
번지 183
13.6%
85
 
6.3%
호 60
 
4.5%
층 36
 
2.7%
명륜*가 24
 
1.8%
동숭동 21
 
1.6%
부암동 19
 
1.4%
신문로*가 11
 
0.8%
Other values (193) 369
27.4%
2024-05-11T06:03:37.349530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1252
18.2%
* 1238
18.0%
로 296
 
4.3%
서 283
 
4.1%
구 280
 
4.1%
종 278
 
4.0%
시 272
 
3.9%
울 270
 
3.9%
특 269
 
3.9%
별 269
 
3.9%
Other values (224) 2184
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4165
60.4%
Space Separator 1252
 
18.2%
Other Punctuation 1239
 
18.0%
Dash Punctuation 198
 
2.9%
Uppercase Letter 16
 
0.2%
Decimal Number 15
 
0.2%
Lowercase Letter 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 296
 
7.1%
서 283
 
6.8%
구 280
 
6.7%
종 278
 
6.7%
시 272
 
6.5%
울 270
 
6.5%
특 269
 
6.5%
별 269
 
6.5%
동 269
 
6.5%
지 204
 
4.9%
Other values (201) 1475
35.4%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
8 2
 
13.3%
9 2
 
13.3%
2 1
 
6.7%
4 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
50.0%
S 4
25.0%
T 1
 
6.2%
A 1
 
6.2%
D 1
 
6.2%
U 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
w 1
25.0%
r 1
25.0%
e 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1238
99.9%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4165
60.4%
Common 2706
39.3%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 296
 
7.1%
서 283
 
6.8%
구 280
 
6.7%
종 278
 
6.7%
시 272
 
6.5%
울 270
 
6.5%
특 269
 
6.5%
별 269
 
6.5%
동 269
 
6.5%
지 204
 
4.9%
Other values (201) 1475
35.4%
Common
ValueCountFrequency (%)
1252
46.3%
* 1238
45.8%
- 198
 
7.3%
1 7
 
0.3%
8 2
 
0.1%
9 2
 
0.1%
2 1
 
< 0.1%
) 1
 
< 0.1%
( 1
 
< 0.1%
4 1
 
< 0.1%
Other values (3) 3
 
0.1%
Latin
ValueCountFrequency (%)
B 8
40.0%
S 4
20.0%
w 1
 
5.0%
r 1
 
5.0%
e 1
 
5.0%
o 1
 
5.0%
T 1
 
5.0%
A 1
 
5.0%
D 1
 
5.0%
U 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4165
60.4%
ASCII 2726
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1252
45.9%
* 1238
45.4%
- 198
 
7.3%
B 8
 
0.3%
1 7
 
0.3%
S 4
 
0.1%
8 2
 
0.1%
9 2
 
0.1%
2 1
 
< 0.1%
) 1
 
< 0.1%
Other values (13) 13
 
0.5%
Hangul
ValueCountFrequency (%)
로 296
 
7.1%
서 283
 
6.8%
구 280
 
6.7%
종 278
 
6.7%
시 272
 
6.5%
울 270
 
6.5%
특 269
 
6.5%
별 269
 
6.5%
동 269
 
6.5%
지 204
 
4.9%
Other values (201) 1475
35.4%

도로명주소
Text

MISSING 

Distinct249
Distinct (%)94.7%
Missing6
Missing (%)2.2%
Memory size2.2 KiB
2024-05-11T06:03:38.239836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length33.330798
Min length22

Characters and Unicode

Total characters8766
Distinct characters256
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)89.4%

Sample

1st row서울특별시 종로구 자하문로 *** (부암동,한국금박빌딩 ***호)
2nd row서울특별시 종로구 삼일대로 *** (낙원동)
3rd row서울특별시 종로구 혜화로 **-* (명륜*가)
4th row서울특별시 종로구 창경궁로 *** (인의동,웅진빌딩)
5th row서울특별시 종로구 동숭길 *** (동숭동)
ValueCountFrequency (%)
264
15.8%
서울특별시 263
15.7%
종로구 263
15.7%
호 101
 
6.0%
층 81
 
4.8%
명륜*가 19
 
1.1%
동숭동 19
 
1.1%
부암동 14
 
0.8%
율곡로 13
 
0.8%
종로 10
 
0.6%
Other values (326) 628
37.5%
2024-05-11T06:03:39.607018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1468
16.7%
* 1360
 
15.5%
로 488
 
5.6%
동 298
 
3.4%
종 293
 
3.3%
서 277
 
3.2%
구 275
 
3.1%
) 266
 
3.0%
시 266
 
3.0%
( 266
 
3.0%
Other values (246) 3509
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5005
57.1%
Other Punctuation 1624
 
18.5%
Space Separator 1468
 
16.7%
Close Punctuation 266
 
3.0%
Open Punctuation 266
 
3.0%
Dash Punctuation 85
 
1.0%
Decimal Number 25
 
0.3%
Uppercase Letter 23
 
0.3%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 488
 
9.8%
동 298
 
6.0%
종 293
 
5.9%
서 277
 
5.5%
구 275
 
5.5%
시 266
 
5.3%
울 264
 
5.3%
별 263
 
5.3%
특 263
 
5.3%
길 178
 
3.6%
Other values (217) 2140
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 10
43.5%
S 4
 
17.4%
A 2
 
8.7%
D 2
 
8.7%
T 1
 
4.3%
H 1
 
4.3%
U 1
 
4.3%
M 1
 
4.3%
E 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 8
32.0%
5 3
 
12.0%
3 3
 
12.0%
4 3
 
12.0%
2 2
 
8.0%
6 2
 
8.0%
0 2
 
8.0%
7 1
 
4.0%
9 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1360
83.7%
, 263
 
16.2%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1468
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5005
57.1%
Common 3734
42.6%
Latin 27
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 488
 
9.8%
동 298
 
6.0%
종 293
 
5.9%
서 277
 
5.5%
구 275
 
5.5%
시 266
 
5.3%
울 264
 
5.3%
별 263
 
5.3%
특 263
 
5.3%
길 178
 
3.6%
Other values (217) 2140
42.8%
Common
ValueCountFrequency (%)
1468
39.3%
* 1360
36.4%
) 266
 
7.1%
( 266
 
7.1%
, 263
 
7.0%
- 85
 
2.3%
1 8
 
0.2%
5 3
 
0.1%
3 3
 
0.1%
4 3
 
0.1%
Other values (6) 9
 
0.2%
Latin
ValueCountFrequency (%)
B 10
37.0%
S 4
 
14.8%
A 2
 
7.4%
D 2
 
7.4%
o 1
 
3.7%
T 1
 
3.7%
w 1
 
3.7%
e 1
 
3.7%
r 1
 
3.7%
H 1
 
3.7%
Other values (3) 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5005
57.1%
ASCII 3761
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1468
39.0%
* 1360
36.2%
) 266
 
7.1%
( 266
 
7.1%
, 263
 
7.0%
- 85
 
2.3%
B 10
 
0.3%
1 8
 
0.2%
S 4
 
0.1%
5 3
 
0.1%
Other values (19) 28
 
0.7%
Hangul
ValueCountFrequency (%)
로 488
 
9.8%
동 298
 
6.0%
종 293
 
5.9%
서 277
 
5.5%
구 275
 
5.5%
시 266
 
5.3%
울 264
 
5.3%
별 263
 
5.3%
특 263
 
5.3%
길 178
 
3.6%
Other values (217) 2140
42.8%

도로명우편번호
Text

MISSING 

Distinct119
Distinct (%)64.0%
Missing83
Missing (%)30.9%
Memory size2.2 KiB
2024-05-11T06:03:40.432454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2634409
Min length5

Characters and Unicode

Total characters979
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

Unique77 ?
Unique (%)41.4%

Sample

1st row03173
2nd row110040
3rd row110844
4th row110844
5th row110761
ValueCountFrequency (%)
03086 5
 
2.7%
03022 5
 
2.7%
110809 4
 
2.2%
03126 4
 
2.2%
03020 4
 
2.2%
03176 4
 
2.2%
03173 4
 
2.2%
03039 3
 
1.6%
110030 3
 
1.6%
110524 3
 
1.6%
Other values (109) 147
79.0%
2024-05-11T06:03:42.279572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 315
32.2%
1 184
18.8%
3 182
18.6%
8 61
 
6.2%
2 55
 
5.6%
7 47
 
4.8%
4 42
 
4.3%
6 40
 
4.1%
9 26
 
2.7%
5 25
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 977
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
32.2%
1 184
18.8%
3 182
18.6%
8 61
 
6.2%
2 55
 
5.6%
7 47
 
4.8%
4 42
 
4.3%
6 40
 
4.1%
9 26
 
2.7%
5 25
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 979
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
32.2%
1 184
18.8%
3 182
18.6%
8 61
 
6.2%
2 55
 
5.6%
7 47
 
4.8%
4 42
 
4.3%
6 40
 
4.1%
9 26
 
2.7%
5 25
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
32.2%
1 184
18.8%
3 182
18.6%
8 61
 
6.2%
2 55
 
5.6%
7 47
 
4.8%
4 42
 
4.3%
6 40
 
4.1%
9 26
 
2.7%
5 25
 
2.6%

사업장명
Text

Distinct266
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T06:03:43.080539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length8.5018587
Min length2

Characters and Unicode

Total characters2287
Distinct characters364
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)97.8%

Sample

1st row동보흥행(주)
2nd row동아흥행(주)
3rd row유성영화(주)
4th row(주)익영영화
5th row(주)프리시네마
ValueCountFrequency (%)
주식회사 44
 
12.2%
영화사 8
 
2.2%
주 3
 
0.8%
co.,ltd 3
 
0.8%
시네마 2
 
0.6%
엔터테인먼트 2
 
0.6%
재인 2
 
0.6%
필름 2
 
0.6%
픽쳐스 2
 
0.6%
pictures 2
 
0.6%
Other values (287) 290
80.6%
2024-05-11T06:03:44.521138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 163
 
7.1%
( 123
 
5.4%
) 123
 
5.4%
91
 
4.0%
사 90
 
3.9%
스 73
 
3.2%
이 53
 
2.3%
회 47
 
2.1%
식 45
 
2.0%
화 39
 
1.7%
Other values (354) 1440
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1804
78.9%
Open Punctuation 123
 
5.4%
Close Punctuation 123
 
5.4%
Space Separator 91
 
4.0%
Uppercase Letter 74
 
3.2%
Lowercase Letter 46
 
2.0%
Other Punctuation 12
 
0.5%
Decimal Number 10
 
0.4%
Other Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 163
 
9.0%
사 90
 
5.0%
스 73
 
4.0%
이 53
 
2.9%
회 47
 
2.6%
식 45
 
2.5%
화 39
 
2.2%
름 39
 
2.2%
필 38
 
2.1%
영 37
 
2.1%
Other values (300) 1180
65.4%
Uppercase Letter
ValueCountFrequency (%)
A 9
 
12.2%
L 7
 
9.5%
C 6
 
8.1%
O 6
 
8.1%
M 4
 
5.4%
B 4
 
5.4%
N 4
 
5.4%
S 4
 
5.4%
P 4
 
5.4%
R 3
 
4.1%
Other values (13) 23
31.1%
Lowercase Letter
ValueCountFrequency (%)
i 6
13.0%
t 6
13.0%
o 6
13.0%
d 4
8.7%
n 4
8.7%
r 4
8.7%
e 3
6.5%
c 2
 
4.3%
u 2
 
4.3%
s 2
 
4.3%
Other values (7) 7
15.2%
Other Punctuation
ValueCountFrequency (%)
. 4
33.3%
, 3
25.0%
' 2
16.7%
: 2
16.7%
& 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
8 3
30.0%
2 3
30.0%
1 2
20.0%
4 1
 
10.0%
3 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1808
79.1%
Common 359
 
15.7%
Latin 120
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 163
 
9.0%
사 90
 
5.0%
스 73
 
4.0%
이 53
 
2.9%
회 47
 
2.6%
식 45
 
2.5%
화 39
 
2.2%
름 39
 
2.2%
필 38
 
2.1%
영 37
 
2.0%
Other values (301) 1184
65.5%
Latin
ValueCountFrequency (%)
A 9
 
7.5%
L 7
 
5.8%
i 6
 
5.0%
C 6
 
5.0%
O 6
 
5.0%
t 6
 
5.0%
o 6
 
5.0%
d 4
 
3.3%
M 4
 
3.3%
B 4
 
3.3%
Other values (30) 62
51.7%
Common
ValueCountFrequency (%)
( 123
34.3%
) 123
34.3%
91
25.3%
. 4
 
1.1%
, 3
 
0.8%
8 3
 
0.8%
2 3
 
0.8%
' 2
 
0.6%
: 2
 
0.6%
1 2
 
0.6%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1804
78.9%
ASCII 479
 
20.9%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 163
 
9.0%
사 90
 
5.0%
스 73
 
4.0%
이 53
 
2.9%
회 47
 
2.6%
식 45
 
2.5%
화 39
 
2.2%
름 39
 
2.2%
필 38
 
2.1%
영 37
 
2.1%
Other values (300) 1180
65.4%
ASCII
ValueCountFrequency (%)
( 123
25.7%
) 123
25.7%
91
19.0%
A 9
 
1.9%
L 7
 
1.5%
i 6
 
1.3%
C 6
 
1.3%
O 6
 
1.3%
t 6
 
1.3%
o 6
 
1.3%
Other values (43) 96
20.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

Distinct267
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2010-04-28 14:07:04
Maximum2024-05-07 16:34:29
2024-05-11T06:03:45.155358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:03:45.785672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
211 
U
58 

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 211
78.4%
U 58
 
21.6%

Length

2024-05-11T06:03:46.300412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:46.722708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 211
78.4%
u 58
 
21.6%

데이터갱신일자
Date

Distinct113
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T06:03:47.579196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:03:48.475499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)83.7%
Missing6
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean198463.3
Minimum195804.56
Maximum201911.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T06:03:48.957219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195804.56
5-th percentile196555.72
Q1197310.73
median198324.65
Q3199842.19
95-th percentile200397.93
Maximum201911.14
Range6106.5766
Interquartile range (IQR)2531.456

Descriptive statistics

Standard deviation1391.9626
Coefficient of variation (CV)0.0070137025
Kurtosis-1.0722434
Mean198463.3
Median Absolute Deviation (MAD)1143.2603
Skewness0.2603959
Sum52195849
Variance1937559.8
MonotonicityNot monotonic
2024-05-11T06:03:49.370055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197567.747824202 5
 
1.9%
198910.899366062 4
 
1.5%
200291.374084556 4
 
1.5%
196828.928666125 3
 
1.1%
197465.223921125 3
 
1.1%
198640.079735013 2
 
0.7%
198852.959716775 2
 
0.7%
197401.904439938 2
 
0.7%
198624.006469032 2
 
0.7%
197612.137033978 2
 
0.7%
Other values (210) 234
87.0%
(Missing) 6
 
2.2%
ValueCountFrequency (%)
195804.560127598 1
0.4%
196092.743907822 1
0.4%
196109.539959307 1
0.4%
196173.938452451 1
0.4%
196179.366597368 1
0.4%
196182.175442793 1
0.4%
196236.32431677 1
0.4%
196301.180095165 1
0.4%
196332.566437564 1
0.4%
196335.329427755 1
0.4%
ValueCountFrequency (%)
201911.136750205 1
0.4%
201721.77996103 1
0.4%
201452.97033909 1
0.4%
201426.690277293 1
0.4%
201282.378349367 1
0.4%
201272.139157939 1
0.4%
201168.350187013 1
0.4%
200971.425717609 2
0.7%
200662.948336738 1
0.4%
200510.694679865 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)83.7%
Missing6
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean453263.33
Minimum451816.04
Maximum456970.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T06:03:49.815837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451816.04
5-th percentile452020.69
Q1452364.68
median452995.5
Q3453599.85
95-th percentile456196.81
Maximum456970.48
Range5154.4447
Interquartile range (IQR)1235.1744

Descriptive statistics

Standard deviation1185.3405
Coefficient of variation (CV)0.0026151256
Kurtosis1.6678321
Mean453263.33
Median Absolute Deviation (MAD)628.88822
Skewness1.4315232
Sum1.1920825 × 108
Variance1405032.1
MonotonicityNot monotonic
2024-05-11T06:03:50.279809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452347.973860449 5
 
1.9%
452750.505122507 4
 
1.5%
452163.083270761 4
 
1.5%
455080.0109352 3
 
1.1%
452366.613899898 3
 
1.1%
452660.293046982 2
 
0.7%
452253.942584507 2
 
0.7%
452516.953248571 2
 
0.7%
452310.752960617 2
 
0.7%
452831.555366395 2
 
0.7%
Other values (210) 234
87.0%
(Missing) 6
 
2.2%
ValueCountFrequency (%)
451816.038182067 1
0.4%
451888.555001545 1
0.4%
451921.60302604 1
0.4%
451938.037703258 1
0.4%
451938.037709964 1
0.4%
451938.30792481 2
0.7%
451945.047247204 2
0.7%
451951.026373194 1
0.4%
451962.484078847 1
0.4%
451962.63614134 1
0.4%
ValueCountFrequency (%)
456970.482848874 1
0.4%
456913.618563397 1
0.4%
456834.2394956 1
0.4%
456766.729287831 1
0.4%
456762.857775672 1
0.4%
456739.051814434 1
0.4%
456736.653120123 1
0.4%
456633.240753552 1
0.4%
456411.118211104 2
0.7%
456393.537804721 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영화제작업
215 
<NA>
54 

Length

Max length5
Median length5
Mean length4.7992565
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 215
79.9%
<NA> 54
 
20.1%

Length

2024-05-11T06:03:50.723437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:51.044913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 215
79.9%
na 54
 
20.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:51.417482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:51.790593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:52.219044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:52.589757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:52.964352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:53.289985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:53.666496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:53.982293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:54.243279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:54.501390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:54.794910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:55.174186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:55.584399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:55.892820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:56.294497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:56.623401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
258 
0
 
11

Length

Max length4
Median length4
Mean length3.8773234
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> 258
95.9%
0 11
 
4.1%

Length

2024-05-11T06:03:57.000476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:03:57.488895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
95.9%
0 11
 
4.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct205
Distinct (%)95.3%
Missing54
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean20109222
Minimum19860614
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T06:03:57.856778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860614
5-th percentile19991210
Q120065664
median20120328
Q320160520
95-th percentile20203883
Maximum20220307
Range359693
Interquartile range (IQR)94855.5

Descriptive statistics

Standard deviation70335.093
Coefficient of variation (CV)0.0034976535
Kurtosis0.48911865
Mean20109222
Median Absolute Deviation (MAD)49514
Skewness-0.74152776
Sum4.3234828 × 109
Variance4.9470253 × 109
MonotonicityNot monotonic
2024-05-11T06:03:58.325710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160520 3
 
1.1%
20130627 3
 
1.1%
20150428 2
 
0.7%
20100415 2
 
0.7%
20100325 2
 
0.7%
19991213 2
 
0.7%
20150119 2
 
0.7%
20120223 2
 
0.7%
20220307 1
 
0.4%
20080324 1
 
0.4%
Other values (195) 195
72.5%
(Missing) 54
 
20.1%
ValueCountFrequency (%)
19860614 1
0.4%
19870811 1
0.4%
19900214 1
0.4%
19920323 1
0.4%
19940906 1
0.4%
19970218 1
0.4%
19971111 1
0.4%
19980730 1
0.4%
19990928 1
0.4%
19990929 1
0.4%
ValueCountFrequency (%)
20220307 1
0.4%
20220217 1
0.4%
20220124 1
0.4%
20220120 1
0.4%
20220106 1
0.4%
20210610 1
0.4%
20210507 1
0.4%
20210304 1
0.4%
20210128 1
0.4%
20210112 1
0.4%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing269
Missing (%)100.0%
Memory size2.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF521101198600000119860614<NA>3폐업3폐업20140331<NA><NA><NA>394-5411<NA><NA>서울특별시 종로구 부암동 ***-*번지 한국금박빌딩 ***호서울특별시 종로구 자하문로 *** (부암동,한국금박빌딩 ***호)<NA>동보흥행(주)2014-03-31 17:07:55I2018-08-31 23:59:59.0<NA>196554.89921455159.209918영화제작업<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>19860614<NA>
13000000CDFF521101198700000119870811<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4013<NA>110320서울특별시 종로구 낙원동 ***-*번지서울특별시 종로구 삼일대로 *** (낙원동)<NA>동아흥행(주)2010-04-28 14:07:04I2018-08-31 23:59:59.0<NA>198852.959717452253.942585영화제작업<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>19870811<NA>
23000000CDFF521101199000000119900214<NA>1영업/정상13영업중<NA><NA><NA><NA>307-1241<NA><NA>서울특별시 종로구 명륜*가 **-**번지<NA><NA>유성영화(주)2014-04-03 19:04:28I2018-08-31 23:59:59.0<NA>199852.264596454122.037844영화제작업<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>19900214<NA>
33000000CDFF521101199200000119920323<NA>1영업/정상13영업중<NA><NA><NA><NA>3676-2220<NA><NA>서울특별시 종로구 돈의동 ***번지<NA><NA>(주)익영영화2014-12-10 15:42:49I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<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>19920323<NA>
43000000CDFF521101199400000119940906<NA>1영업/정상13영업중<NA><NA><NA><NA>741-0250<NA>110521서울특별시 종로구 명륜*가 **-**번지서울특별시 종로구 혜화로 **-* (명륜*가)<NA>(주)프리시네마2010-04-28 14:15:36I2018-08-31 23:59:59.0<NA>199842.1854454130.889502영화제작업<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>19940906<NA>
53000000CDFF521101199700000119970218<NA>1영업/정상13영업중<NA><NA><NA><NA>36750670<NA>110785서울특별시 종로구 인의동 ***-*번지 웅진빌딩서울특별시 종로구 창경궁로 *** (인의동,웅진빌딩)<NA>웅진코웨이개발(주)2010-04-28 14:17:14I2018-08-31 23:59:59.0<NA>199670.979885452221.775006영화제작업<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>19970218<NA>
63000000CDFF521101199700000219971111<NA>3폐업3폐업20140117<NA><NA><NA>766-3390<NA><NA>서울특별시 종로구 동숭동 *-*번지서울특별시 종로구 동숭길 *** (동숭동)<NA>(주)동숭아트센터2014-01-17 15:17:42I2018-08-31 23:59:59.0<NA>200257.115683453485.120042영화제작업<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>19971111<NA>
73000000CDFF521101199800000119980730<NA>1영업/정상13영업중<NA><NA><NA><NA>516-3303<NA>110500서울특별시 종로구 이화동 **-*번지 디에스알테라스 *층서울특별시 종로구 이화장길 ** (이화동,디에스알테라스 *층)<NA>(주)틴하우스2010-04-28 14:27:34I2018-08-31 23:59:59.0<NA>200347.06995452787.190025영화제작업<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>19980730<NA>
83000000CDFF521101199900000219990928<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4248<NA>110350서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)<NA>온정필름2010-04-28 14:42:02I2018-08-31 23:59:59.0<NA>198966.466796452608.062544영화제작업<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>19990928<NA>
93000000CDFF521101199900000319990929<NA>1영업/정상13영업중<NA><NA><NA><NA>744-4248<NA><NA>서울특별시 종로구 운니동 **-*번지 월드오피스텔 ****호서울특별시 종로구 율곡로*길 ** (운니동,월드오피스텔 ****호)<NA>(주)오픈시네마2010-04-28 14:44:20I2018-08-31 23:59:59.0<NA>198966.466796452608.062544영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990929<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2593000000CDFF52110120230000072023-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 ***-***서울특별시 종로구 낙산*길 ** (동숭동)03088다큐멘터리를 만드는 '다큐인'2023-06-13 13:22:30I2022-12-05 23:05:00.0<NA>200464.180853453090.060581<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>
2603000000CDFF52110120230000082023-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA>027459333<NA><NA>서울특별시 종로구 원남동 **-*서울특별시 종로구 창경궁로**길 **, *층 (원남동)03127더풀프로덕션2023-06-15 11:58:18I2022-12-05 23:07:00.0<NA>199781.699581452511.193211<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>
2613000000CDFF52110120230000092023-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA>027301042<NA><NA>서울특별시 종로구 신문로*가 *** 광화문오피시아빌딩서울특별시 종로구 새문안로 **, 광화문오피시아빌딩 ***호, ***호 (신문로*가)03186주식회사 티더블유이지2023-07-04 14:08:22I2022-12-07 00:06:00.0<NA>197713.264844451938.037703<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>
2623000000CDFF52110120230000102021-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3279-2201<NA><NA>서울특별시 종로구 연건동 ***-* 홍익대학교 대학로캠퍼스 교육동 *층서울특별시 종로구 대학로 **, 홍익대학교 대학로캠퍼스 교육동 *층 (연건동)03082재단법인 국립극단2024-05-07 16:34:29U2023-12-05 00:09:00.0<NA>200059.357458452693.724316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2633000000CDFF52110120230000112023-09-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 ***-**서울특별시 종로구 동숭길 **, 지하*층 (동숭동)03085홍해성 소극장2023-09-26 11:06:35I2022-12-08 22:08:00.0<NA>200315.525649453201.946816<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>
2643000000CDFF52110120230000122021-09-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-** 계우빌딩서울특별시 종로구 대학로**길 **, 계우빌딩 *층 ***-M***호 (동숭동)03086한사람픽쳐스2023-12-26 09:40:42U2022-11-01 22:08:00.0<NA>200284.07971453238.540021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2653000000CDFF52110120240000022020-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 구기동 ***-* 건덕빌라서울특별시 종로구 비봉*길 **, 씨동 ***호 (구기동, 건덕빌라)03001트라이포드필름 주식회사2024-02-22 15:04:46I2023-12-01 22:04:00.0<NA>196179.366597456736.65312<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>
2663000000CDFF52110120240000032024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 구기동 ***-* 요진오피스텔쉐레이서울특별시 종로구 진흥로 ***, 요진오피스텔쉐레이 ***호 (구기동)03012럼프필름2024-02-22 09:50:16I2023-12-01 22:04:00.0<NA>196092.743908456198.595932<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>
2673000000CDFF52110120240000042024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 혜화동 **-***서울특별시 종로구 혜화로*길 **-*, B*층 (혜화동)03076사단법인 날개숲2024-04-18 16:51:35I2023-12-03 22:00:00.0<NA>200102.346303454141.265163<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2683000000CDFF52110120240000052024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜*가 *-***서울특별시 종로구 창경궁로**길 **, ***호 (명륜*가)03073오스카 프로덕션2024-04-24 15:53:53I2023-12-03 22:06:00.0<NA>199587.540175453459.387133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>