Overview

Dataset statistics

Number of variables56
Number of observations87
Missing cells2360
Missing cells (%)48.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory488.5 B

Variable types

Categorical17
Text7
DateTime4
Unsupported24
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-17372/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (66.4%)Imbalance
주변환경명 is highly imbalanced (68.3%)Imbalance
지상층수 is highly imbalanced (60.9%)Imbalance
지하층수 is highly imbalanced (59.9%)Imbalance
건물용도명 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 87 (100.0%) missing valuesMissing
폐업일자 has 68 (78.2%) missing valuesMissing
휴업시작일자 has 87 (100.0%) missing valuesMissing
휴업종료일자 has 87 (100.0%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
전화번호 has 60 (69.0%) missing valuesMissing
소재지면적 has 87 (100.0%) missing valuesMissing
소재지우편번호 has 87 (100.0%) missing valuesMissing
도로명주소 has 1 (1.1%) missing valuesMissing
도로명우편번호 has 1 (1.1%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.3%) missing valuesMissing
좌표정보(Y) has 2 (2.3%) missing valuesMissing
문화사업자구분명 has 87 (100.0%) missing valuesMissing
제작취급품목내용 has 27 (31.0%) missing valuesMissing
시설면적 has 31 (35.6%) missing valuesMissing
비상계단여부 has 87 (100.0%) missing valuesMissing
비상구여부 has 87 (100.0%) missing valuesMissing
자동환기여부 has 87 (100.0%) missing valuesMissing
청소년실여부 has 87 (100.0%) missing valuesMissing
특수조명여부 has 87 (100.0%) missing valuesMissing
방음시설여부 has 87 (100.0%) missing valuesMissing
비디오재생기명 has 87 (100.0%) missing valuesMissing
조명시설유무 has 87 (100.0%) missing valuesMissing
음향시설여부 has 87 (100.0%) missing valuesMissing
편의시설여부 has 87 (100.0%) missing valuesMissing
소방시설여부 has 87 (100.0%) missing valuesMissing
기존게임업외업종명 has 87 (100.0%) missing valuesMissing
제공게임물명 has 87 (100.0%) missing valuesMissing
공연장형태구분명 has 87 (100.0%) missing valuesMissing
품목명 has 87 (100.0%) missing valuesMissing
최초등록시점 has 87 (100.0%) missing valuesMissing
지역구분명 has 80 (92.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-29 19:15:50.011240
Analysis finished2024-04-29 19:15:50.914519
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
3050000
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 87
100.0%

Length

2024-04-30T04:15:50.973203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:51.054172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 87
100.0%

관리번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-30T04:15:51.201907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1740
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

Unique87 ?
Unique (%)100.0%

Sample

1st rowCDFF1241072007000001
2nd rowCDFF1241072009000001
3rd rowCDFF1241072009000002
4th rowCDFF1241072009000004
5th rowCDFF1241072009000005
ValueCountFrequency (%)
cdff1241072007000001 1
 
1.1%
cdff1241072021000015 1
 
1.1%
cdff1241072021000011 1
 
1.1%
cdff1241072021000010 1
 
1.1%
cdff1241072021000009 1
 
1.1%
cdff1241072021000008 1
 
1.1%
cdff1241072021000007 1
 
1.1%
cdff1241072021000006 1
 
1.1%
cdff1241072021000005 1
 
1.1%
cdff1241072021000004 1
 
1.1%
Other values (77) 77
88.5%
2024-04-30T04:15:51.499250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 622
35.7%
1 248
 
14.3%
2 242
 
13.9%
F 174
 
10.0%
4 108
 
6.2%
7 99
 
5.7%
C 87
 
5.0%
D 87
 
5.0%
3 20
 
1.1%
9 15
 
0.9%
Other values (3) 38
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
80.0%
Uppercase Letter 348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 622
44.7%
1 248
 
17.8%
2 242
 
17.4%
4 108
 
7.8%
7 99
 
7.1%
3 20
 
1.4%
9 15
 
1.1%
5 14
 
1.0%
8 13
 
0.9%
6 11
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 174
50.0%
C 87
25.0%
D 87
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
80.0%
Latin 348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 622
44.7%
1 248
 
17.8%
2 242
 
17.4%
4 108
 
7.8%
7 99
 
7.1%
3 20
 
1.4%
9 15
 
1.1%
5 14
 
1.0%
8 13
 
0.9%
6 11
 
0.8%
Latin
ValueCountFrequency (%)
F 174
50.0%
C 87
25.0%
D 87
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 622
35.7%
1 248
 
14.3%
2 242
 
13.9%
F 174
 
10.0%
4 108
 
6.2%
7 99
 
5.7%
C 87
 
5.0%
D 87
 
5.0%
3 20
 
1.1%
9 15
 
0.9%
Other values (3) 38
 
2.2%

인허가일자
Date

Distinct85
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2007-03-07 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T04:15:51.622595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:51.760456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
68 
3
15 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
78.2%
3 15
 
17.2%
5 4
 
4.6%

Length

2024-04-30T04:15:51.877423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:51.962052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
78.2%
3 15
 
17.2%
5 4
 
4.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
68 
폐업
15 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.6206897
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 68
78.2%
폐업 15
 
17.2%
제외/삭제/전출 4
 
4.6%

Length

2024-04-30T04:15:52.053574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:52.161746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
78.2%
폐업 15
 
17.2%
제외/삭제/전출 4
 
4.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
13
68 
3
15 
15
 
4

Length

Max length2
Median length2
Mean length1.8275862
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 68
78.2%
3 15
 
17.2%
15 4
 
4.6%

Length

2024-04-30T04:15:52.252200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:52.337342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 68
78.2%
3 15
 
17.2%
15 4
 
4.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업중
68 
폐업
15 
전출
 
4

Length

Max length3
Median length3
Mean length2.7816092
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 68
78.2%
폐업 15
 
17.2%
전출 4
 
4.6%

Length

2024-04-30T04:15:52.425131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:52.509762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 68
78.2%
폐업 15
 
17.2%
전출 4
 
4.6%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing68
Missing (%)78.2%
Memory size828.0 B
Minimum2011-05-12 00:00:00
Maximum2024-04-22 00:00:00
2024-04-30T04:15:52.589492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:52.687757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

전화번호
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing60
Missing (%)69.0%
Memory size828.0 B
2024-04-30T04:15:52.868984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.185185
Min length8

Characters and Unicode

Total characters302
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

Unique25 ?
Unique (%)92.6%

Sample

1st row923-9728
2nd row960-4948
3rd row02-6925-0011
4th row02-927-0010
5th row02-469-0466
ValueCountFrequency (%)
02-412-1310 2
 
7.4%
070-8151-5401 1
 
3.7%
923-9728 1
 
3.7%
070-4757-3434 1
 
3.7%
02-6339-0921 1
 
3.7%
02-512-5781 1
 
3.7%
02-6949-0331 1
 
3.7%
02-2207-9409 1
 
3.7%
02-907-9702 1
 
3.7%
02-737-1003 1
 
3.7%
Other values (16) 16
59.3%
2024-04-30T04:15:53.151809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
18.2%
- 51
16.9%
2 45
14.9%
1 30
9.9%
9 24
7.9%
3 21
 
7.0%
7 21
 
7.0%
4 19
 
6.3%
6 16
 
5.3%
5 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 251
83.1%
Dash Punctuation 51
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
21.9%
2 45
17.9%
1 30
12.0%
9 24
9.6%
3 21
 
8.4%
7 21
 
8.4%
4 19
 
7.6%
6 16
 
6.4%
5 12
 
4.8%
8 8
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
18.2%
- 51
16.9%
2 45
14.9%
1 30
9.9%
9 24
7.9%
3 21
 
7.0%
7 21
 
7.0%
4 19
 
6.3%
6 16
 
5.3%
5 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
18.2%
- 51
16.9%
2 45
14.9%
1 30
9.9%
9 24
7.9%
3 21
 
7.0%
7 21
 
7.0%
4 19
 
6.3%
6 16
 
5.3%
5 12
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지번주소
Text

Distinct81
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-30T04:15:53.347520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length28.264368
Min length20

Characters and Unicode

Total characters2459
Distinct characters137
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

Unique76 ?
Unique (%)87.4%

Sample

1st row서울특별시 동대문구 제기동 ***-**번지
2nd row서울특별시 동대문구 휘경동 ***-*번지 (***호)
3rd row서울특별시 동대문구 장안동 ***번지 장안*차 현대홈타운아파트 ***동 ****호
4th row서울특별시 동대문구 신설동 **-*번지 (*층)
5th row서울특별시 동대문구 장안동 ***-**번지 (세우빌딩*층)
ValueCountFrequency (%)
서울특별시 87
19.2%
동대문구 86
18.9%
48
10.6%
번지 39
8.6%
호 27
 
5.9%
장안동 22
 
4.8%
층 16
 
3.5%
용두동 14
 
3.1%
제기동 11
 
2.4%
답십리동 9
 
2.0%
Other values (58) 95
20.9%
2024-04-30T04:15:53.651988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 503
20.5%
409
16.6%
동 185
 
7.5%
대 91
 
3.7%
서 90
 
3.7%
문 90
 
3.7%
울 89
 
3.6%
시 88
 
3.6%
구 87
 
3.5%
별 87
 
3.5%
Other values (127) 740
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1454
59.1%
Other Punctuation 503
 
20.5%
Space Separator 409
 
16.6%
Dash Punctuation 79
 
3.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 185
 
12.7%
대 91
 
6.3%
서 90
 
6.2%
문 90
 
6.2%
울 89
 
6.1%
시 88
 
6.1%
구 87
 
6.0%
별 87
 
6.0%
특 87
 
6.0%
지 42
 
2.9%
Other values (119) 518
35.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
J 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 503
100.0%
Space Separator
ValueCountFrequency (%)
409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1454
59.1%
Common 1001
40.7%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 185
 
12.7%
대 91
 
6.3%
서 90
 
6.2%
문 90
 
6.2%
울 89
 
6.1%
시 88
 
6.1%
구 87
 
6.0%
별 87
 
6.0%
특 87
 
6.0%
지 42
 
2.9%
Other values (119) 518
35.6%
Common
ValueCountFrequency (%)
* 503
50.2%
409
40.9%
- 79
 
7.9%
) 5
 
0.5%
( 5
 
0.5%
Latin
ValueCountFrequency (%)
B 2
50.0%
e 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1454
59.1%
ASCII 1005
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 503
50.0%
409
40.7%
- 79
 
7.9%
) 5
 
0.5%
( 5
 
0.5%
B 2
 
0.2%
e 1
 
0.1%
J 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 185
 
12.7%
대 91
 
6.3%
서 90
 
6.2%
문 90
 
6.2%
울 89
 
6.1%
시 88
 
6.1%
구 87
 
6.0%
별 87
 
6.0%
특 87
 
6.0%
지 42
 
2.9%
Other values (119) 518
35.6%

도로명주소
Text

MISSING 

Distinct82
Distinct (%)95.3%
Missing1
Missing (%)1.1%
Memory size828.0 B
2024-04-30T04:15:53.922692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length36.94186
Min length24

Characters and Unicode

Total characters3177
Distinct characters167
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

Unique78 ?
Unique (%)90.7%

Sample

1st row서울특별시 동대문구 약령시로 ** (제기동)
2nd row서울특별시 동대문구 이문로**길 ** (휘경동)
3rd row서울특별시 동대문구 장한로**가길 **, ***동 ****호 (장안동, 장안*차현대홈타운아파트)
4th row서울특별시 동대문구 한빛로 **, *층 (신설동)
5th row서울특별시 동대문구 천호대로 ***, *층 (장안동, 세우빌딩)
ValueCountFrequency (%)
87
14.3%
서울특별시 86
14.1%
동대문구 85
14.0%
호 50
 
8.2%
층 46
 
7.6%
장안동 22
 
3.6%
용두동 14
 
2.3%
제기동 11
 
1.8%
동 10
 
1.6%
답십리동 9
 
1.5%
Other values (110) 188
30.9%
2024-04-30T04:15:54.298244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 528
16.6%
523
16.5%
동 196
 
6.2%
, 108
 
3.4%
대 106
 
3.3%
서 94
 
3.0%
시 94
 
3.0%
울 93
 
2.9%
문 91
 
2.9%
로 87
 
2.7%
Other values (157) 1257
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1823
57.4%
Other Punctuation 636
 
20.0%
Space Separator 523
 
16.5%
Close Punctuation 86
 
2.7%
Open Punctuation 86
 
2.7%
Dash Punctuation 11
 
0.3%
Uppercase Letter 11
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 196
 
10.8%
대 106
 
5.8%
서 94
 
5.2%
시 94
 
5.2%
울 93
 
5.1%
문 91
 
5.0%
로 87
 
4.8%
구 86
 
4.7%
별 86
 
4.7%
특 86
 
4.7%
Other values (144) 804
44.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 3
27.3%
J 1
 
9.1%
N 1
 
9.1%
C 1
 
9.1%
F 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 528
83.0%
, 108
 
17.0%
Space Separator
ValueCountFrequency (%)
523
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1823
57.4%
Common 1342
42.2%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 196
 
10.8%
대 106
 
5.8%
서 94
 
5.2%
시 94
 
5.2%
울 93
 
5.1%
문 91
 
5.0%
로 87
 
4.8%
구 86
 
4.7%
별 86
 
4.7%
특 86
 
4.7%
Other values (144) 804
44.1%
Latin
ValueCountFrequency (%)
B 4
33.3%
A 3
25.0%
J 1
 
8.3%
N 1
 
8.3%
C 1
 
8.3%
F 1
 
8.3%
e 1
 
8.3%
Common
ValueCountFrequency (%)
* 528
39.3%
523
39.0%
, 108
 
8.0%
) 86
 
6.4%
( 86
 
6.4%
- 11
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1823
57.4%
ASCII 1354
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 528
39.0%
523
38.6%
, 108
 
8.0%
) 86
 
6.4%
( 86
 
6.4%
- 11
 
0.8%
B 4
 
0.3%
A 3
 
0.2%
J 1
 
0.1%
N 1
 
0.1%
Other values (3) 3
 
0.2%
Hangul
ValueCountFrequency (%)
동 196
 
10.8%
대 106
 
5.8%
서 94
 
5.2%
시 94
 
5.2%
울 93
 
5.1%
문 91
 
5.0%
로 87
 
4.8%
구 86
 
4.7%
별 86
 
4.7%
특 86
 
4.7%
Other values (144) 804
44.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)70.9%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean8505.0698
Minimum2089
Maximum130860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:15:54.412364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2089
5-th percentile2445.5
Q12496.25
median2572
Q32609.5
95-th percentile2645
Maximum130860
Range128771
Interquartile range (IQR)113.25

Descriptive statistics

Standard deviation27135.41
Coefficient of variation (CV)3.1904983
Kurtosis17.62624
Mean8505.0698
Median Absolute Deviation (MAD)52.5
Skewness4.3836505
Sum731436
Variance7.3633049 × 108
MonotonicityNot monotonic
2024-04-30T04:15:54.522197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2557 4
 
4.6%
2581 3
 
3.4%
2645 3
 
3.4%
2596 3
 
3.4%
2566 3
 
3.4%
2456 3
 
3.4%
2477 2
 
2.3%
2587 2
 
2.3%
2586 2
 
2.3%
2624 2
 
2.3%
Other values (51) 59
67.8%
ValueCountFrequency (%)
2089 1
 
1.1%
2407 1
 
1.1%
2443 1
 
1.1%
2445 2
2.3%
2447 1
 
1.1%
2455 2
2.3%
2456 3
3.4%
2463 1
 
1.1%
2465 1
 
1.1%
2466 1
 
1.1%
ValueCountFrequency (%)
130860 1
 
1.1%
130841 1
 
1.1%
130823 1
 
1.1%
130070 1
 
1.1%
2645 3
3.4%
2643 1
 
1.1%
2640 1
 
1.1%
2639 1
 
1.1%
2637 1
 
1.1%
2636 2
2.3%

사업장명
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-30T04:15:54.724500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length13
Mean length8.2988506
Min length3

Characters and Unicode

Total characters722
Distinct characters199
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

Unique87 ?
Unique (%)100.0%

Sample

1st row화이트영상
2nd row푸른곰 미디어
3rd row사이시옷미디어
4th row우리뮤비
5th row(주)화이트랩
ValueCountFrequency (%)
주식회사 27
 
20.0%
미디어 4
 
3.0%
라움커뮤니케이션 2
 
1.5%
스튜디오 2
 
1.5%
그렇게하자 2
 
1.5%
오봉미디어 2
 
1.5%
화이트영상 1
 
0.7%
reel 1
 
0.7%
픽쳐스(white 1
 
0.7%
화이트릴 1
 
0.7%
Other values (92) 92
68.1%
2024-04-30T04:15:55.059836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
6.6%
이 38
 
5.3%
주 37
 
5.1%
사 30
 
4.2%
회 29
 
4.0%
식 27
 
3.7%
디 23
 
3.2%
스 23
 
3.2%
어 17
 
2.4%
미 16
 
2.2%
Other values (189) 434
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
83.5%
Space Separator 48
 
6.6%
Lowercase Letter 24
 
3.3%
Uppercase Letter 16
 
2.2%
Open Punctuation 14
 
1.9%
Close Punctuation 14
 
1.9%
Decimal Number 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 38
 
6.3%
주 37
 
6.1%
사 30
 
5.0%
회 29
 
4.8%
식 27
 
4.5%
디 23
 
3.8%
스 23
 
3.8%
어 17
 
2.8%
미 16
 
2.7%
션 10
 
1.7%
Other values (157) 353
58.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
20.8%
i 4
16.7%
t 2
 
8.3%
h 2
 
8.3%
o 2
 
8.3%
l 1
 
4.2%
s 1
 
4.2%
r 1
 
4.2%
u 1
 
4.2%
c 1
 
4.2%
Other values (4) 4
16.7%
Uppercase Letter
ValueCountFrequency (%)
R 2
12.5%
P 2
12.5%
E 2
12.5%
T 2
12.5%
C 1
6.2%
W 1
6.2%
D 1
6.2%
U 1
6.2%
M 1
6.2%
Z 1
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
83.5%
Common 79
 
10.9%
Latin 40
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 38
 
6.3%
주 37
 
6.1%
사 30
 
5.0%
회 29
 
4.8%
식 27
 
4.5%
디 23
 
3.8%
스 23
 
3.8%
어 17
 
2.8%
미 16
 
2.7%
션 10
 
1.7%
Other values (157) 353
58.5%
Latin
ValueCountFrequency (%)
e 5
 
12.5%
i 4
 
10.0%
R 2
 
5.0%
P 2
 
5.0%
E 2
 
5.0%
T 2
 
5.0%
t 2
 
5.0%
h 2
 
5.0%
o 2
 
5.0%
C 1
 
2.5%
Other values (16) 16
40.0%
Common
ValueCountFrequency (%)
48
60.8%
( 14
 
17.7%
) 14
 
17.7%
1 1
 
1.3%
2 1
 
1.3%
, 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
83.5%
ASCII 119
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
40.3%
( 14
 
11.8%
) 14
 
11.8%
e 5
 
4.2%
i 4
 
3.4%
R 2
 
1.7%
P 2
 
1.7%
E 2
 
1.7%
T 2
 
1.7%
t 2
 
1.7%
Other values (22) 24
20.2%
Hangul
ValueCountFrequency (%)
이 38
 
6.3%
주 37
 
6.1%
사 30
 
5.0%
회 29
 
4.8%
식 27
 
4.5%
디 23
 
3.8%
스 23
 
3.8%
어 17
 
2.8%
미 16
 
2.7%
션 10
 
1.7%
Other values (157) 353
58.5%

최종수정일자
Date

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2011-05-12 14:06:44
Maximum2024-04-24 15:20:03
2024-04-30T04:15:55.176960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:55.300004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
I
67 
U
20 

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 67
77.0%
U 20
 
23.0%

Length

2024-04-30T04:15:55.412207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:55.509103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 67
77.0%
u 20
 
23.0%

데이터갱신일자
Date

Distinct59
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-30T04:15:55.598525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:15:55.708820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)87.1%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean204362.71
Minimum202023.92
Maximum207226.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:15:56.001942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202023.92
5-th percentile202132.84
Q1202941.94
median204453.77
Q3205615.29
95-th percentile206455.11
Maximum207226.34
Range5202.4201
Interquartile range (IQR)2673.358

Descriptive statistics

Standard deviation1415.5336
Coefficient of variation (CV)0.0069265748
Kurtosis-1.2268486
Mean204362.71
Median Absolute Deviation (MAD)1289.1076
Skewness-0.020291877
Sum17370830
Variance2003735.4
MonotonicityNot monotonic
2024-04-30T04:15:56.143310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204469.161186907 3
 
3.4%
204352.503712237 3
 
3.4%
203712.345425626 3
 
3.4%
202589.012047436 2
 
2.3%
204122.136152212 2
 
2.3%
202572.480304067 2
 
2.3%
202792.678699836 2
 
2.3%
202045.581261433 2
 
2.3%
202931.650778943 1
 
1.1%
202536.147106474 1
 
1.1%
Other values (64) 64
73.6%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
202023.921749857 1
1.1%
202045.581261433 2
2.3%
202061.343549852 1
1.1%
202113.226260878 1
1.1%
202211.304378289 1
1.1%
202536.147106474 1
1.1%
202572.480304067 2
2.3%
202582.019563324 1
1.1%
202589.012047436 2
2.3%
202631.266758987 1
1.1%
ValueCountFrequency (%)
207226.341877595 1
1.1%
206603.229942876 1
1.1%
206589.552325543 1
1.1%
206586.572428103 1
1.1%
206472.467412741 1
1.1%
206385.670474902 1
1.1%
206347.366420409 1
1.1%
206329.469799378 1
1.1%
206141.179571336 1
1.1%
206133.550473201 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)87.1%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean452845.27
Minimum451025.9
Maximum455801.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:15:56.262851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451025.9
5-th percentile451259.77
Q1452115.5
median452691.91
Q3453518.03
95-th percentile454669.05
Maximum455801.64
Range4775.7364
Interquartile range (IQR)1402.5391

Descriptive statistics

Standard deviation1051.3071
Coefficient of variation (CV)0.0023215592
Kurtosis-0.1440168
Mean452845.27
Median Absolute Deviation (MAD)700.54674
Skewness0.43351339
Sum38491848
Variance1105246.6
MonotonicityNot monotonic
2024-04-30T04:15:56.382798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453198.869808564 3
 
3.4%
452344.190736671 3
 
3.4%
454246.192680027 3
 
3.4%
452464.500706795 2
 
2.3%
454719.205565844 2
 
2.3%
452006.05468554 2
 
2.3%
452915.127892459 2
 
2.3%
452672.881757271 2
 
2.3%
452651.649130223 1
 
1.1%
452765.865037064 1
 
1.1%
Other values (64) 64
73.6%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
451025.902075739 1
1.1%
451031.672241199 1
1.1%
451068.286357945 1
1.1%
451108.047802152 1
1.1%
451246.138464487 1
1.1%
451314.311344192 1
1.1%
451405.339026517 1
1.1%
451406.008305602 1
1.1%
451433.916364508 1
1.1%
451521.562337768 1
1.1%
ValueCountFrequency (%)
455801.638525525 1
 
1.1%
455376.98062028 1
 
1.1%
454934.047367752 1
 
1.1%
454719.205565844 2
2.3%
454468.437106932 1
 
1.1%
454246.192680027 3
3.4%
454216.098672812 1
 
1.1%
454214.134182295 1
 
1.1%
454188.556283389 1
 
1.1%
454166.575055678 1
 
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
비디오물제작업
60 
<NA>
27 

Length

Max length7
Median length7
Mean length6.0689655
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 60
69.0%
<NA> 27
31.0%

Length

2024-04-30T04:15:56.502052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:56.594833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 60
69.0%
na 27
31.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
74 
0
10 
6
 
1
4
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.5517241
Min length1

Unique

Unique3 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
85.1%
0 10
 
11.5%
6 1
 
1.1%
4 1
 
1.1%
2 1
 
1.1%

Length

2024-04-30T04:15:56.696106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:56.800532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
85.1%
0 10
 
11.5%
6 1
 
1.1%
4 1
 
1.1%
2 1
 
1.1%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
82 
기타
 
5

Length

Max length4
Median length4
Mean length3.8850575
Min length2

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> 82
94.3%
기타 5
 
5.7%

Length

2024-04-30T04:15:56.897747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:57.009809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
94.3%
기타 5
 
5.7%

제작취급품목내용
Text

MISSING 

Distinct45
Distinct (%)75.0%
Missing27
Missing (%)31.0%
Memory size828.0 B
2024-04-30T04:15:57.146467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length10.933333
Min length2

Characters and Unicode

Total characters656
Distinct characters129
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

Unique40 ?
Unique (%)66.7%

Sample

1st row비디오물
2nd row영상물
3rd row영상물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 11
 
7.6%
및 10
 
6.9%
영상물 8
 
5.5%
홍보영상 7
 
4.8%
영상 5
 
3.4%
광고 4
 
2.8%
제작 4
 
2.8%
비디오 4
 
2.8%
영상제작 3
 
2.1%
비디오물제작업 3
 
2.1%
Other values (75) 86
59.3%
2024-04-30T04:15:57.424715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
13.0%
영 54
 
8.2%
상 51
 
7.8%
, 43
 
6.6%
물 33
 
5.0%
디 26
 
4.0%
비 24
 
3.7%
오 23
 
3.5%
제 22
 
3.4%
작 22
 
3.4%
Other values (119) 273
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
78.2%
Space Separator 85
 
13.0%
Other Punctuation 43
 
6.6%
Uppercase Letter 4
 
0.6%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Decimal Number 3
 
0.5%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 54
 
10.5%
상 51
 
9.9%
물 33
 
6.4%
디 26
 
5.1%
비 24
 
4.7%
오 23
 
4.5%
제 22
 
4.3%
작 22
 
4.3%
홍 17
 
3.3%
보 17
 
3.3%
Other values (110) 224
43.7%
Uppercase Letter
ValueCountFrequency (%)
D 3
75.0%
V 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
d 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 513
78.2%
Common 137
 
20.9%
Latin 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 54
 
10.5%
상 51
 
9.9%
물 33
 
6.4%
디 26
 
5.1%
비 24
 
4.7%
오 23
 
4.5%
제 22
 
4.3%
작 22
 
4.3%
홍 17
 
3.3%
보 17
 
3.3%
Other values (110) 224
43.7%
Common
ValueCountFrequency (%)
85
62.0%
, 43
31.4%
) 3
 
2.2%
( 3
 
2.2%
3 2
 
1.5%
2 1
 
0.7%
Latin
ValueCountFrequency (%)
D 3
50.0%
d 2
33.3%
V 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
78.2%
ASCII 143
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
59.4%
, 43
30.1%
D 3
 
2.1%
) 3
 
2.1%
( 3
 
2.1%
d 2
 
1.4%
3 2
 
1.4%
2 1
 
0.7%
V 1
 
0.7%
Hangul
ValueCountFrequency (%)
영 54
 
10.5%
상 51
 
9.9%
물 33
 
6.4%
디 26
 
5.1%
비 24
 
4.7%
오 23
 
4.5%
제 22
 
4.3%
작 22
 
4.3%
홍 17
 
3.3%
보 17
 
3.3%
Other values (110) 224
43.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)96.4%
Missing31
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean90.499107
Minimum0
Maximum543.2
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:15:57.543531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.67
Q130.6025
median56.975
Q3104.305
95-th percentile258.5175
Maximum543.2
Range543.2
Interquartile range (IQR)73.7025

Descriptive statistics

Standard deviation100.38785
Coefficient of variation (CV)1.109269
Kurtosis8.4597663
Mean90.499107
Median Absolute Deviation (MAD)32.28
Skewness2.6370339
Sum5067.95
Variance10077.72
MonotonicityNot monotonic
2024-04-30T04:15:57.672513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 2
 
2.3%
33.0 2
 
2.3%
35.64 1
 
1.1%
46.95 1
 
1.1%
28.77 1
 
1.1%
24.0 1
 
1.1%
21.49 1
 
1.1%
118.0 1
 
1.1%
30.63 1
 
1.1%
244.35 1
 
1.1%
Other values (44) 44
50.6%
(Missing) 31
35.6%
ValueCountFrequency (%)
0.0 1
1.1%
7.4 1
1.1%
9.0 1
1.1%
12.56 1
1.1%
16.5 1
1.1%
21.49 1
1.1%
22.7 1
1.1%
24.0 1
1.1%
24.64 1
1.1%
24.75 1
1.1%
ValueCountFrequency (%)
543.2 1
1.1%
429.0 1
1.1%
270.0 1
1.1%
254.69 1
1.1%
244.35 1
1.1%
205.0 1
1.1%
178.2 1
1.1%
161.9 1
1.1%
157.68 1
1.1%
149.15 1
1.1%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
72 
0
10 
3
 
2
5
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.4827586
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
82.8%
0 10
 
11.5%
3 2
 
2.3%
5 2
 
2.3%
4 1
 
1.1%

Length

2024-04-30T04:15:57.806340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:57.903969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
82.8%
0 10
 
11.5%
3 2
 
2.3%
5 2
 
2.3%
4 1
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
75 
0
11 
1
 
1

Length

Max length4
Median length4
Mean length3.5862069
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
86.2%
0 11
 
12.6%
1 1
 
1.1%

Length

2024-04-30T04:15:58.000908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:58.094649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
86.2%
0 11
 
12.6%
1 1
 
1.1%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
84 
근린생활시설
 
3

Length

Max length6
Median length4
Mean length4.0689655
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
96.6%
근린생활시설 3
 
3.4%

Length

2024-04-30T04:15:58.193329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:58.280987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
96.6%
근린생활시설 3
 
3.4%

통로너비
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
77 
0
10 

Length

Max length4
Median length4
Mean length3.6551724
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> 77
88.5%
0 10
 
11.5%

Length

2024-04-30T04:15:58.383433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:58.466338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
88.5%
0 10
 
11.5%

조명시설조도
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
77 
0
10 

Length

Max length4
Median length4
Mean length3.6551724
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> 77
88.5%
0 10
 
11.5%

Length

2024-04-30T04:15:58.555519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:58.644099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
88.5%
0 10
 
11.5%

노래방실수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
77 
0
10 

Length

Max length4
Median length4
Mean length3.6551724
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> 77
88.5%
0 10
 
11.5%

Length

2024-04-30T04:15:58.760169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:58.849604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
88.5%
0 10
 
11.5%

청소년실수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
77 
0
10 

Length

Max length4
Median length4
Mean length3.6551724
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> 77
88.5%
0 10
 
11.5%

Length

2024-04-30T04:15:58.936241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:59.046182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
88.5%
0 10
 
11.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
77 
0
10 

Length

Max length4
Median length4
Mean length3.6551724
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> 77
88.5%
0 10
 
11.5%

Length

2024-04-30T04:15:59.155878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:15:59.240149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
88.5%
0 10
 
11.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지역구분명
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing80
Missing (%)92.0%
Memory size828.0 B
2024-04-30T04:15:59.358123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.2857143
Min length4

Characters and Unicode

Total characters37
Distinct characters11
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 (%)28.6%

Sample

1st row준주거지역
2nd row상업지역
3rd row상업지역
4th row근린상업지역
5th row일반상업지역
ValueCountFrequency (%)
근린상업지역 3
42.9%
상업지역 2
28.6%
준주거지역 1
 
14.3%
일반상업지역 1
 
14.3%
2024-04-30T04:15:59.623806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 7
18.9%
역 7
18.9%
상 6
16.2%
업 6
16.2%
근 3
8.1%
린 3
8.1%
준 1
 
2.7%
주 1
 
2.7%
거 1
 
2.7%
일 1
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7
18.9%
역 7
18.9%
상 6
16.2%
업 6
16.2%
근 3
8.1%
린 3
8.1%
준 1
 
2.7%
주 1
 
2.7%
거 1
 
2.7%
일 1
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7
18.9%
역 7
18.9%
상 6
16.2%
업 6
16.2%
근 3
8.1%
린 3
8.1%
준 1
 
2.7%
주 1
 
2.7%
거 1
 
2.7%
일 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 7
18.9%
역 7
18.9%
상 6
16.2%
업 6
16.2%
근 3
8.1%
린 3
8.1%
준 1
 
2.7%
주 1
 
2.7%
거 1
 
2.7%
일 1
 
2.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF124107200700000120070307<NA>1영업/정상13영업중<NA><NA><NA><NA>923-9728<NA><NA>서울특별시 동대문구 제기동 ***-**번지서울특별시 동대문구 약령시로 ** (제기동)2477화이트영상2011-10-30 12:49:02I2018-08-31 23:59:59.0<NA>202688.114447453392.453226비디오물제작업<NA><NA><NA>비디오물<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>
13050000CDFF124107200900000120090406<NA>1영업/정상13영업중<NA><NA><NA><NA>960-4948<NA><NA>서울특별시 동대문구 휘경동 ***-*번지 (***호)서울특별시 동대문구 이문로**길 ** (휘경동)2443푸른곰 미디어2013-12-23 13:03:02I2018-08-31 23:59:59.0<NA>205254.956025454468.437107비디오물제작업<NA><NA><NA>영상물61.56<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>
23050000CDFF124107200900000220080114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***번지 장안*차 현대홈타운아파트 ***동 ****호서울특별시 동대문구 장한로**가길 **, ***동 ****호 (장안동, 장안*차현대홈타운아파트)2523사이시옷미디어2013-12-23 13:06:24I2018-08-31 23:59:59.0<NA>206385.670475452491.817294비디오물제작업<NA><NA><NA>영상물<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>
33050000CDFF124107200900000420090731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 **-*번지 (*층)서울특별시 동대문구 한빛로 **, *층 (신설동)2581우리뮤비2013-12-23 13:07:15I2018-08-31 23:59:59.0<NA>202113.226261452758.459404비디오물제작업<NA><NA><NA>비디오물75.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43050000CDFF124107200900000520080916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-**번지 (세우빌딩*층)서울특별시 동대문구 천호대로 ***, *층 (장안동, 세우빌딩)2645(주)화이트랩2013-12-23 13:08:16I2018-08-31 23:59:59.0<NA>205860.651089451025.902076비디오물제작업<NA><NA><NA>비디오물<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>
53050000CDFF124107200900000620091023<NA>3폐업3폐업20110512<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 ***-**번지 (*층)<NA><NA>무예원2011-05-12 14:06:44I2018-08-31 23:59:59.0<NA>205330.674029454188.556283비디오물제작업<NA><NA><NA>영상물(검도)16.5<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>
63050000CDFF124107201000000120100216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 **-*번지 (세종빌딩*층)서울특별시 동대문구 제기로**길 **, *층 (청량리동, 세종빌딩)2488(주)티브로드동대문케이블방송2013-12-23 13:09:03I2018-08-31 23:59:59.0<NA>204282.878492453570.891988비디오물제작업<NA><NA><NA>영상물178.2<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>
73050000CDFF124107201100000120110106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*번지 신부파스칼텔 ***호서울특별시 동대문구 천호대로**길 **, ***호 (장안동, 신부파스칼텔)2636무비집(Movie Zip)2013-12-23 13:11:04I2018-08-31 23:59:59.0<NA>205692.623595451246.138464비디오물제작업<NA><NA><NA>영상물22.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83050000CDFF124107201100000220110322<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 ***번지 e-편한세상아파트 ***동 ***호서울특별시 동대문구 한천로**길 **, ***동 ***호 (이문동, e-편한세상아파트)2407영상작업공간틀어2013-12-23 13:12:23I2018-08-31 23:59:59.0<NA>205667.757888455801.638526비디오물제작업<NA><NA><NA>영상물84.97<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>
93050000CDFF124107201100000620111115<NA>3폐업3폐업20120529<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-**번지 지상*층서울특별시 동대문구 천호대로**길 ** (용두동)130070오봉미디어2012-05-29 10:36:17I2018-08-31 23:59:59.0<NA>202589.012047452464.500707비디오물제작업<NA><NA><NA>비디오물<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
773050000CDFF12410720230000042023-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* *층서울특별시 동대문구 답십리로 ***-*, *층 (장안동)2524주식회사 그레가2023-05-03 18:02:55I2022-12-05 00:07:00.0<NA>206603.229943452264.291909<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>
783050000CDFF12410720230000052023-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-512-5781<NA><NA>서울특별시 동대문구 장안동 ***-* *층 *호서울특별시 동대문구 사가정로 ***-*, *층 *호 (장안동)2519케이아트 스튜디오2023-05-08 18:05:24I2022-12-04 23:00:00.0<NA>206589.552326453013.840212<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>
793050000CDFF12410720230000062023-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-** 리더스빌딩 *층서울특별시 동대문구 답십리로**길 **, *층 (장안동)2637스튜디오플레이2023-05-19 13:23:39I2022-12-04 22:01:00.0<NA>206472.467413452115.495574<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>
803050000CDFF12410720230000072023-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-* 장안 힐스테이트 ****동 ****호서울특별시 동대문구 장안벚꽃로*길 *, ****동 ****호 (장안동, 장안 힐스테이트)2521썬미디어2023-06-21 13:16:56I2022-12-05 22:03:00.0<NA>206586.572428452632.628913<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>
813050000CDFF12410720230000082023-08-08<NA>5제외/삭제/전출15전출2024-04-22<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 ***-*서울특별시 동대문구 제기로*길 **, 지하층 (제기동)2476미디어 처음2024-04-22 15:34:23U2023-12-03 22:04:00.0<NA>202850.505021453591.180195<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>
823050000CDFF12410720230000092018-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6339-0921<NA><NA>서울특별시 동대문구 신설동 ***-**서울특별시 동대문구 난계로**길 **, *층 ***호 (신설동)2586주식회사 콘텐츠허브상상2023-10-11 17:07:34I2022-10-30 23:04:00.0<NA>202061.34355452214.757093<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>
833050000CDFF12410720240000012024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 *** 회기역 하트리움서울특별시 동대문구 망우로 **, ***동 ****호 (휘경동, 회기역 하트리움)2496단 디자인스튜디오2024-02-02 09:31:21I2023-12-02 00:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843050000CDFF12410720240000022020-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 ***-**서울특별시 동대문구 서울시립대로 ***, ***호 (전농동)2557주식회사 미닝오브2024-03-29 14:48:21I2023-12-02 21:01:00.0<NA>204469.161187453198.869809<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>
853050000CDFF12410720240000032024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 ***-** 청계천 대성 스카이렉스*서울특별시 동대문구 청계천로 ***, *층 ***호 (용두동, 청계천 대성 스카이렉스*)2587주식회사 엠엔피2024-04-16 15:34:20I2023-12-03 23:08:00.0<NA>202572.480304452006.054686<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>
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