Overview

Dataset statistics

Number of variables56
Number of observations46
Missing cells1476
Missing cells (%)57.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory488.9 B

Variable types

Categorical13
Text9
DateTime4
Unsupported27
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17826/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (67.0%)Imbalance
총층수 is highly imbalanced (84.9%)Imbalance
시설면적 is highly imbalanced (84.9%)Imbalance
지상층수 is highly imbalanced (84.9%)Imbalance
지하층수 is highly imbalanced (84.9%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 27 (58.7%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 33 (71.7%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
도로명주소 has 1 (2.2%) missing valuesMissing
도로명우편번호 has 8 (17.4%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
좌표정보(X) has 2 (4.3%) missing valuesMissing
좌표정보(Y) has 2 (4.3%) missing valuesMissing
주변환경명 has 45 (97.8%) missing valuesMissing
제작취급품목내용 has 26 (56.5%) missing valuesMissing
건물용도명 has 45 (97.8%) missing valuesMissing
통로너비 has 46 (100.0%) missing valuesMissing
조명시설조도 has 46 (100.0%) missing valuesMissing
노래방실수 has 46 (100.0%) missing valuesMissing
청소년실수 has 46 (100.0%) missing valuesMissing
비상계단여부 has 46 (100.0%) missing valuesMissing
비상구여부 has 46 (100.0%) missing valuesMissing
자동환기여부 has 46 (100.0%) missing valuesMissing
청소년실여부 has 46 (100.0%) missing valuesMissing
특수조명여부 has 46 (100.0%) missing valuesMissing
방음시설여부 has 46 (100.0%) missing valuesMissing
비디오재생기명 has 46 (100.0%) missing valuesMissing
조명시설유무 has 46 (100.0%) missing valuesMissing
음향시설여부 has 46 (100.0%) missing valuesMissing
편의시설여부 has 46 (100.0%) missing valuesMissing
소방시설여부 has 46 (100.0%) missing valuesMissing
총게임기수 has 46 (100.0%) missing valuesMissing
기존게임업외업종명 has 46 (100.0%) missing valuesMissing
제공게임물명 has 46 (100.0%) missing valuesMissing
공연장형태구분명 has 46 (100.0%) missing valuesMissing
품목명 has 46 (100.0%) missing valuesMissing
최초등록시점 has 46 (100.0%) missing valuesMissing
지역구분명 has 45 (97.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:07:24.274321
Analysis finished2024-05-11 06:07:25.041493
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3240000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 46
100.0%

Length

2024-05-11T15:07:25.123981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:25.234246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:07:25.471825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061999000001
2nd rowCDFF3241062001000001
3rd rowCDFF3241062003000001
4th rowCDFF3241062005000001
5th rowCDFF3241062005000002
ValueCountFrequency (%)
cdff3241061999000001 1
 
2.2%
cdff3241062022000001 1
 
2.2%
cdff3241062023000005 1
 
2.2%
cdff3241062020000001 1
 
2.2%
cdff3241062020000002 1
 
2.2%
cdff3241062020000003 1
 
2.2%
cdff3241062020000004 1
 
2.2%
cdff3241062020000005 1
 
2.2%
cdff3241062020000006 1
 
2.2%
cdff3241062021000001 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T15:07:26.276743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 334
36.3%
2 133
 
14.5%
F 92
 
10.0%
1 83
 
9.0%
3 60
 
6.5%
4 52
 
5.7%
6 51
 
5.5%
C 46
 
5.0%
D 46
 
5.0%
9 8
 
0.9%
Other values (3) 15
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 334
45.4%
2 133
 
18.1%
1 83
 
11.3%
3 60
 
8.2%
4 52
 
7.1%
6 51
 
6.9%
9 8
 
1.1%
5 7
 
1.0%
8 5
 
0.7%
7 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 334
45.4%
2 133
 
18.1%
1 83
 
11.3%
3 60
 
8.2%
4 52
 
7.1%
6 51
 
6.9%
9 8
 
1.1%
5 7
 
1.0%
8 5
 
0.7%
7 3
 
0.4%
Latin
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 334
36.3%
2 133
 
14.5%
F 92
 
10.0%
1 83
 
9.0%
3 60
 
6.5%
4 52
 
5.7%
6 51
 
5.5%
C 46
 
5.0%
D 46
 
5.0%
9 8
 
0.9%
Other values (3) 15
 
1.6%

인허가일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1999-11-11 00:00:00
Maximum2023-09-27 00:00:00
2024-05-11T15:07:26.489081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:26.798968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
27 
3
17 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
58.7%
3 17
37.0%
5 2
 
4.3%

Length

2024-05-11T15:07:27.001667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:27.128026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
58.7%
3 17
37.0%
5 2
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
27 
폐업
17 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.0217391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 27
58.7%
폐업 17
37.0%
제외/삭제/전출 2
 
4.3%

Length

2024-05-11T15:07:27.297702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:27.446184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 27
58.7%
폐업 17
37.0%
제외/삭제/전출 2
 
4.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
27 
3
10 
34
7 
15
 
2

Length

Max length2
Median length2
Mean length1.7826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 27
58.7%
3 10
 
21.7%
34 7
 
15.2%
15 2
 
4.3%

Length

2024-05-11T15:07:27.594565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:27.744146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 27
58.7%
3 10
 
21.7%
34 7
 
15.2%
15 2
 
4.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
27 
폐업
10 
영업장폐쇄
7 
전출
 
2

Length

Max length5
Median length3
Mean length3.0434783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 27
58.7%
폐업 10
 
21.7%
영업장폐쇄 7
 
15.2%
전출 2
 
4.3%

Length

2024-05-11T15:07:27.924804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:28.128322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 27
58.7%
폐업 10
 
21.7%
영업장폐쇄 7
 
15.2%
전출 2
 
4.3%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing27
Missing (%)58.7%
Memory size500.0 B
Minimum2007-01-01 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T15:07:28.366807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:28.547856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing33
Missing (%)71.7%
Memory size500.0 B
2024-05-11T15:07:28.792403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.3846154
Min length8

Characters and Unicode

Total characters122
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

Unique13 ?
Unique (%)100.0%

Sample

1st row474-7716
2nd row474-7714
3rd row3412-7119
4th row3485-8700
5th row441-3130
ValueCountFrequency (%)
474-7716 1
 
7.7%
474-7714 1
 
7.7%
3412-7119 1
 
7.7%
3485-8700 1
 
7.7%
441-3130 1
 
7.7%
472-5751 1
 
7.7%
1599-8871 1
 
7.7%
3454-0102 1
 
7.7%
070-8249-7299 1
 
7.7%
428-5540 1
 
7.7%
Other values (3) 3
23.1%
2024-05-11T15:07:29.263087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 19
15.6%
- 17
13.9%
7 16
13.1%
1 13
10.7%
2 13
10.7%
0 13
10.7%
8 8
6.6%
5 8
6.6%
9 7
 
5.7%
3 6
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105
86.1%
Dash Punctuation 17
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 19
18.1%
7 16
15.2%
1 13
12.4%
2 13
12.4%
0 13
12.4%
8 8
7.6%
5 8
7.6%
9 7
 
6.7%
3 6
 
5.7%
6 2
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 19
15.6%
- 17
13.9%
7 16
13.1%
1 13
10.7%
2 13
10.7%
0 13
10.7%
8 8
6.6%
5 8
6.6%
9 7
 
5.7%
3 6
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 19
15.6%
- 17
13.9%
7 16
13.1%
1 13
10.7%
2 13
10.7%
0 13
10.7%
8 8
6.6%
5 8
6.6%
9 7
 
5.7%
3 6
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
40 
134010
 
2
134845
 
1
134785
 
1
134817
 
1

Length

Max length6
Median length4
Mean length4.2608696
Min length4

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row134010
2nd row134010
3rd row134845
4th row134785
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
87.0%
134010 2
 
4.3%
134845 1
 
2.2%
134785 1
 
2.2%
134817 1
 
2.2%
134859 1
 
2.2%

Length

2024-05-11T15:07:29.472259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:29.654470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
87.0%
134010 2
 
4.3%
134845 1
 
2.2%
134785 1
 
2.2%
134817 1
 
2.2%
134859 1
 
2.2%

지번주소
Text

Distinct39
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:07:29.920864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length24.913043
Min length17

Characters and Unicode

Total characters1146
Distinct characters83
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)71.7%

Sample

1st row서울특별시 강동구 길동 ***-*번지
2nd row서울특별시 강동구 길동 ***-*번지
3rd row서울특별시 강동구 성내동 ***-**번지 성원빌딩 ***호
4th row서울특별시 강동구 천호동 ***-**번지 힐탑오피스텔 ***호
5th row서울특별시 강동구 암사동 ***-*번지 지림빌딩 *층
ValueCountFrequency (%)
서울특별시 46
20.3%
강동구 46
20.3%
26
11.5%
번지 20
8.8%
성내동 17
 
7.5%
천호동 13
 
5.7%
호 10
 
4.4%
층 5
 
2.2%
명일동 5
 
2.2%
길동 5
 
2.2%
Other values (30) 34
15.0%
2024-05-11T15:07:30.430493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 238
20.8%
206
18.0%
동 95
 
8.3%
강 48
 
4.2%
서 46
 
4.0%
특 46
 
4.0%
별 46
 
4.0%
시 46
 
4.0%
구 46
 
4.0%
울 46
 
4.0%
Other values (73) 283
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 656
57.2%
Other Punctuation 238
 
20.8%
Space Separator 206
 
18.0%
Dash Punctuation 36
 
3.1%
Lowercase Letter 5
 
0.4%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 95
14.5%
강 48
 
7.3%
서 46
 
7.0%
특 46
 
7.0%
별 46
 
7.0%
시 46
 
7.0%
구 46
 
7.0%
울 46
 
7.0%
지 25
 
3.8%
호 25
 
3.8%
Other values (61) 187
28.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
J 1
20.0%
Y 1
20.0%
P 1
20.0%
C 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 238
100.0%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 656
57.2%
Common 480
41.9%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 95
14.5%
강 48
 
7.3%
서 46
 
7.0%
특 46
 
7.0%
별 46
 
7.0%
시 46
 
7.0%
구 46
 
7.0%
울 46
 
7.0%
지 25
 
3.8%
호 25
 
3.8%
Other values (61) 187
28.5%
Latin
ValueCountFrequency (%)
e 2
20.0%
B 1
10.0%
J 1
10.0%
Y 1
10.0%
P 1
10.0%
C 1
10.0%
n 1
10.0%
t 1
10.0%
r 1
10.0%
Common
ValueCountFrequency (%)
* 238
49.6%
206
42.9%
- 36
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 656
57.2%
ASCII 490
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 238
48.6%
206
42.0%
- 36
 
7.3%
e 2
 
0.4%
B 1
 
0.2%
J 1
 
0.2%
Y 1
 
0.2%
P 1
 
0.2%
C 1
 
0.2%
n 1
 
0.2%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
동 95
14.5%
강 48
 
7.3%
서 46
 
7.0%
특 46
 
7.0%
별 46
 
7.0%
시 46
 
7.0%
구 46
 
7.0%
울 46
 
7.0%
지 25
 
3.8%
호 25
 
3.8%
Other values (61) 187
28.5%

도로명주소
Text

MISSING 

Distinct39
Distinct (%)86.7%
Missing1
Missing (%)2.2%
Memory size500.0 B
2024-05-11T15:07:30.900535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length32.688889
Min length22

Characters and Unicode

Total characters1471
Distinct characters99
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

Unique35 ?
Unique (%)77.8%

Sample

1st row서울특별시 강동구 양재대로***길 **-* (길동)
2nd row서울특별시 강동구 양재대로***길 **-* (길동)
3rd row서울특별시 강동구 풍성로 *** (성내동,성원빌딩 ***호)
4th row서울특별시 강동구 천호대로 **** (천호동,힐탑오피스텔 ***호)
5th row서울특별시 강동구 상암로 *-* (암사동,지림빌딩 *층)
ValueCountFrequency (%)
서울특별시 45
15.5%
강동구 45
15.5%
45
15.5%
호 16
 
5.5%
성내동 15
 
5.2%
천호동 12
 
4.1%
지층 10
 
3.4%
층 9
 
3.1%
풍성로 7
 
2.4%
지하*층 6
 
2.1%
Other values (56) 81
27.8%
2024-05-11T15:07:31.428556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
17.2%
* 233
15.8%
동 99
 
6.7%
, 51
 
3.5%
구 49
 
3.3%
강 48
 
3.3%
서 45
 
3.1%
울 45
 
3.1%
( 45
 
3.1%
) 45
 
3.1%
Other values (89) 558
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 827
56.2%
Other Punctuation 284
 
19.3%
Space Separator 253
 
17.2%
Open Punctuation 45
 
3.1%
Close Punctuation 45
 
3.1%
Dash Punctuation 8
 
0.5%
Lowercase Letter 5
 
0.3%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 99
 
12.0%
구 49
 
5.9%
강 48
 
5.8%
서 45
 
5.4%
울 45
 
5.4%
시 45
 
5.4%
별 45
 
5.4%
특 45
 
5.4%
로 43
 
5.2%
성 34
 
4.1%
Other values (75) 329
39.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
Y 1
25.0%
P 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 233
82.0%
, 51
 
18.0%
Space Separator
ValueCountFrequency (%)
253
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 827
56.2%
Common 635
43.2%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 99
 
12.0%
구 49
 
5.9%
강 48
 
5.8%
서 45
 
5.4%
울 45
 
5.4%
시 45
 
5.4%
별 45
 
5.4%
특 45
 
5.4%
로 43
 
5.2%
성 34
 
4.1%
Other values (75) 329
39.8%
Latin
ValueCountFrequency (%)
e 2
22.2%
J 1
11.1%
Y 1
11.1%
P 1
11.1%
C 1
11.1%
n 1
11.1%
t 1
11.1%
r 1
11.1%
Common
ValueCountFrequency (%)
253
39.8%
* 233
36.7%
, 51
 
8.0%
( 45
 
7.1%
) 45
 
7.1%
- 8
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
56.2%
ASCII 644
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
39.3%
* 233
36.2%
, 51
 
7.9%
( 45
 
7.0%
) 45
 
7.0%
- 8
 
1.2%
e 2
 
0.3%
J 1
 
0.2%
Y 1
 
0.2%
P 1
 
0.2%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
동 99
 
12.0%
구 49
 
5.9%
강 48
 
5.8%
서 45
 
5.4%
울 45
 
5.4%
시 45
 
5.4%
별 45
 
5.4%
특 45
 
5.4%
로 43
 
5.2%
성 34
 
4.1%
Other values (75) 329
39.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)73.7%
Missing8
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean5328.6053
Minimum5216
Maximum5407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:07:31.646379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5216
5-th percentile5242.25
Q15268
median5327.5
Q35386
95-th percentile5407
Maximum5407
Range191
Interquartile range (IQR)118

Descriptive statistics

Standard deviation61.836113
Coefficient of variation (CV)0.011604559
Kurtosis-1.4225101
Mean5328.6053
Median Absolute Deviation (MAD)59.5
Skewness-0.2420205
Sum202487
Variance3823.7048
MonotonicityNot monotonic
2024-05-11T15:07:31.839618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5386 5
 
10.9%
5392 3
 
6.5%
5407 3
 
6.5%
5327 2
 
4.3%
5320 2
 
4.3%
5266 1
 
2.2%
5216 1
 
2.2%
5399 1
 
2.2%
5296 1
 
2.2%
5390 1
 
2.2%
Other values (18) 18
39.1%
(Missing) 8
17.4%
ValueCountFrequency (%)
5216 1
2.2%
5238 1
2.2%
5243 1
2.2%
5244 1
2.2%
5245 1
2.2%
5246 1
2.2%
5248 1
2.2%
5251 1
2.2%
5266 1
2.2%
5267 1
2.2%
ValueCountFrequency (%)
5407 3
6.5%
5402 1
 
2.2%
5399 1
 
2.2%
5392 3
6.5%
5390 1
 
2.2%
5386 5
10.9%
5384 1
 
2.2%
5354 1
 
2.2%
5340 1
 
2.2%
5338 1
 
2.2%

사업장명
Text

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:07:32.184726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length14
Mean length10.086957
Min length4

Characters and Unicode

Total characters464
Distinct characters149
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

Unique38 ?
Unique (%)82.6%

Sample

1st row도서출판 비전
2nd row셀파미디어
3rd row(주)울트라사운드
4th row디자인플러스
5th row에스투미디어
ValueCountFrequency (%)
주식회사 4
 
5.6%
사운드 3
 
4.2%
천사노래뮤비방 2
 
2.8%
도서출판 2
 
2.8%
21c노래뮤비방 2
 
2.8%
records 2
 
2.8%
21c 2
 
2.8%
엘에이(la)노래뮤비방 2
 
2.8%
노래뮤비방 2
 
2.8%
나인프로젝트 1
 
1.4%
Other values (50) 50
69.4%
2024-05-11T15:07:32.775103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
5.6%
뮤 15
 
3.2%
( 14
 
3.0%
) 14
 
3.0%
사 13
 
2.8%
노 12
 
2.6%
래 12
 
2.6%
비 10
 
2.2%
트 10
 
2.2%
인 9
 
1.9%
Other values (139) 329
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
66.2%
Lowercase Letter 50
 
10.8%
Uppercase Letter 40
 
8.6%
Space Separator 26
 
5.6%
Open Punctuation 14
 
3.0%
Close Punctuation 14
 
3.0%
Decimal Number 11
 
2.4%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
뮤 15
 
4.9%
사 13
 
4.2%
노 12
 
3.9%
래 12
 
3.9%
비 10
 
3.3%
트 10
 
3.3%
인 9
 
2.9%
디 9
 
2.9%
이 9
 
2.9%
주 8
 
2.6%
Other values (98) 200
65.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.0%
M 4
10.0%
S 4
10.0%
L 4
10.0%
I 4
10.0%
P 3
7.5%
U 2
 
5.0%
N 2
 
5.0%
R 2
 
5.0%
A 2
 
5.0%
Other values (7) 7
17.5%
Lowercase Letter
ValueCountFrequency (%)
e 9
18.0%
o 6
12.0%
r 5
10.0%
t 4
8.0%
d 4
8.0%
s 3
 
6.0%
n 3
 
6.0%
c 3
 
6.0%
a 3
 
6.0%
i 2
 
4.0%
Other values (6) 8
16.0%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 4
36.4%
4 1
 
9.1%
5 1
 
9.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
66.2%
Latin 90
 
19.4%
Common 67
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
뮤 15
 
4.9%
사 13
 
4.2%
노 12
 
3.9%
래 12
 
3.9%
비 10
 
3.3%
트 10
 
3.3%
인 9
 
2.9%
디 9
 
2.9%
이 9
 
2.9%
주 8
 
2.6%
Other values (98) 200
65.1%
Latin
ValueCountFrequency (%)
e 9
 
10.0%
o 6
 
6.7%
C 6
 
6.7%
r 5
 
5.6%
M 4
 
4.4%
S 4
 
4.4%
t 4
 
4.4%
L 4
 
4.4%
d 4
 
4.4%
I 4
 
4.4%
Other values (23) 40
44.4%
Common
ValueCountFrequency (%)
26
38.8%
( 14
20.9%
) 14
20.9%
2 5
 
7.5%
1 4
 
6.0%
- 2
 
3.0%
4 1
 
1.5%
5 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
66.2%
ASCII 157
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
16.6%
( 14
 
8.9%
) 14
 
8.9%
e 9
 
5.7%
o 6
 
3.8%
C 6
 
3.8%
r 5
 
3.2%
2 5
 
3.2%
M 4
 
2.5%
S 4
 
2.5%
Other values (31) 64
40.8%
Hangul
ValueCountFrequency (%)
뮤 15
 
4.9%
사 13
 
4.2%
노 12
 
3.9%
래 12
 
3.9%
비 10
 
3.3%
트 10
 
3.3%
인 9
 
2.9%
디 9
 
2.9%
이 9
 
2.9%
주 8
 
2.6%
Other values (98) 200
65.1%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2006-05-09 13:03:42
Maximum2024-03-15 09:49:23
2024-05-11T15:07:33.041341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:33.217901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
29 
U
17 

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 29
63.0%
U 17
37.0%

Length

2024-05-11T15:07:33.379109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:33.510159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
63.0%
u 17
37.0%

데이터갱신일자
Date

Distinct31
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-05-11T15:07:33.652592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:33.846340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)84.1%
Missing2
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean211605.44
Minimum210672.74
Maximum215875.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:07:34.040656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210672.74
5-th percentile210782.6
Q1210892.82
median211370.94
Q3211909.33
95-th percentile213013.33
Maximum215875.02
Range5202.2816
Interquartile range (IQR)1016.5104

Descriptive statistics

Standard deviation986.87677
Coefficient of variation (CV)0.0046637589
Kurtosis6.9924707
Mean211605.44
Median Absolute Deviation (MAD)506.48975
Skewness2.2056037
Sum9310639.5
Variance973925.76
MonotonicityNot monotonic
2024-05-11T15:07:34.243339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
210825.108499502 4
 
8.7%
212396.518647259 2
 
4.3%
210782.595407054 2
 
4.3%
210993.852482199 2
 
4.3%
211542.314116941 2
 
4.3%
211260.202994668 1
 
2.2%
213048.692179757 1
 
2.2%
210930.358539664 1
 
2.2%
211458.648093395 1
 
2.2%
212755.661843784 1
 
2.2%
Other values (27) 27
58.7%
(Missing) 2
 
4.3%
ValueCountFrequency (%)
210672.743323041 1
 
2.2%
210777.43100812 1
 
2.2%
210782.595407054 2
4.3%
210825.108499502 4
8.7%
210839.817585524 1
 
2.2%
210859.350275439 1
 
2.2%
210869.544099375 1
 
2.2%
210900.58054888 1
 
2.2%
210927.575645199 1
 
2.2%
210930.358539664 1
 
2.2%
ValueCountFrequency (%)
215875.024969 1
2.2%
213447.791183965 1
2.2%
213048.692179757 1
2.2%
212812.958062523 1
2.2%
212755.661843784 1
2.2%
212669.948342133 1
2.2%
212654.494590488 1
2.2%
212618.645848182 1
2.2%
212396.518647259 2
4.3%
211918.212578918 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)84.1%
Missing2
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean448584.27
Minimum446913.92
Maximum451370.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:07:34.452229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446913.92
5-th percentile447011.91
Q1447828.27
median448404.23
Q3449353.14
95-th percentile450243.25
Maximum451370.4
Range4456.4799
Interquartile range (IQR)1524.8674

Descriptive statistics

Standard deviation1028.8924
Coefficient of variation (CV)0.0022936435
Kurtosis-0.17502301
Mean448584.27
Median Absolute Deviation (MAD)715.34396
Skewness0.40474851
Sum19737708
Variance1058619.6
MonotonicityNot monotonic
2024-05-11T15:07:34.669714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
447835.248317173 4
 
8.7%
448366.664882641 2
 
4.3%
447807.353720664 2
 
4.3%
448947.104726285 2
 
4.3%
448273.114107211 2
 
4.3%
449774.572647567 1
 
2.2%
450124.105734971 1
 
2.2%
449391.151705903 1
 
2.2%
450316.255472825 1
 
2.2%
448788.663651602 1
 
2.2%
Other values (27) 27
58.7%
(Missing) 2
 
4.3%
ValueCountFrequency (%)
446913.918246052 1
2.2%
446951.701219034 1
2.2%
447005.528012764 1
2.2%
447048.046694552 1
2.2%
447235.077796905 1
2.2%
447513.543985397 1
2.2%
447615.287624892 1
2.2%
447616.484884164 1
2.2%
447761.280203994 1
2.2%
447807.353720664 2
4.3%
ValueCountFrequency (%)
451370.39819 1
2.2%
450316.255472825 1
2.2%
450264.276387605 1
2.2%
450124.105734971 1
2.2%
449909.956876141 1
2.2%
449774.572647567 1
2.2%
449611.754754073 1
2.2%
449493.718014614 1
2.2%
449391.151705903 1
2.2%
449385.82250249 1
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
음반.음악영상물제작업
29 
<NA>
17 

Length

Max length11
Median length11
Mean length8.4130435
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 29
63.0%
<NA> 17
37.0%

Length

2024-05-11T15:07:34.871212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:35.056055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 29
63.0%
na 17
37.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
유통관련업
29 
<NA>
17 

Length

Max length5
Median length5
Mean length4.6304348
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 29
63.0%
<NA> 17
37.0%

Length

2024-05-11T15:07:35.292439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:35.415919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 29
63.0%
na 17
37.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
5
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
5 1
 
2.2%

Length

2024-05-11T15:07:35.570929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:35.727622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
5 1
 
2.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing45
Missing (%)97.8%
Memory size500.0 B
2024-05-11T15:07:35.819695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T15:07:36.101933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

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

제작취급품목내용
Text

MISSING 

Distinct15
Distinct (%)75.0%
Missing26
Missing (%)56.5%
Memory size500.0 B
2024-05-11T15:07:36.363060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length9.6
Min length2

Characters and Unicode

Total characters192
Distinct characters42
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)60.0%

Sample

1st rowCD, Tape
2nd row음반
3rd row음반, 음악영상물
4th row컴퓨터CD, CD, DVD
5th row음반(음원)
ValueCountFrequency (%)
음반 7
18.9%
cd 3
 
8.1%
노래음악영상파일 2
 
5.4%
sd카드 2
 
5.4%
노래음악영상파일,sd카드 2
 
5.4%
음악영상물 2
 
5.4%
노래영상물제작 2
 
5.4%
및 2
 
5.4%
제작 2
 
5.4%
usb 1
 
2.7%
Other values (12) 12
32.4%
2024-05-11T15:07:36.823705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 21
 
10.9%
17
 
8.9%
, 15
 
7.8%
D 11
 
5.7%
영 10
 
5.2%
상 10
 
5.2%
반 10
 
5.2%
악 9
 
4.7%
래 7
 
3.6%
노 7
 
3.6%
Other values (32) 75
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
65.1%
Uppercase Letter 28
 
14.6%
Space Separator 17
 
8.9%
Other Punctuation 15
 
7.8%
Lowercase Letter 3
 
1.6%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 21
16.8%
영 10
 
8.0%
상 10
 
8.0%
반 10
 
8.0%
악 9
 
7.2%
래 7
 
5.6%
노 7
 
5.6%
파 6
 
4.8%
일 6
 
4.8%
물 5
 
4.0%
Other values (18) 34
27.2%
Uppercase Letter
ValueCountFrequency (%)
D 11
39.3%
S 6
21.4%
C 5
17.9%
B 2
 
7.1%
U 2
 
7.1%
V 1
 
3.6%
T 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
e 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
65.1%
Common 36
 
18.8%
Latin 31
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 21
16.8%
영 10
 
8.0%
상 10
 
8.0%
반 10
 
8.0%
악 9
 
7.2%
래 7
 
5.6%
노 7
 
5.6%
파 6
 
4.8%
일 6
 
4.8%
물 5
 
4.0%
Other values (18) 34
27.2%
Latin
ValueCountFrequency (%)
D 11
35.5%
S 6
19.4%
C 5
16.1%
B 2
 
6.5%
U 2
 
6.5%
p 1
 
3.2%
V 1
 
3.2%
e 1
 
3.2%
a 1
 
3.2%
T 1
 
3.2%
Common
ValueCountFrequency (%)
17
47.2%
, 15
41.7%
( 2
 
5.6%
) 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
65.1%
ASCII 67
34.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 21
16.8%
영 10
 
8.0%
상 10
 
8.0%
반 10
 
8.0%
악 9
 
7.2%
래 7
 
5.6%
노 7
 
5.6%
파 6
 
4.8%
일 6
 
4.8%
물 5
 
4.0%
Other values (18) 34
27.2%
ASCII
ValueCountFrequency (%)
17
25.4%
, 15
22.4%
D 11
16.4%
S 6
 
9.0%
C 5
 
7.5%
B 2
 
3.0%
U 2
 
3.0%
( 2
 
3.0%
) 2
 
3.0%
p 1
 
1.5%
Other values (4) 4
 
6.0%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
165
 
1

Length

Max length4
Median length4
Mean length3.9782609
Min length3

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
165 1
 
2.2%

Length

2024-05-11T15:07:37.032324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:37.161971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
165 1
 
2.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
4
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
4 1
 
2.2%

Length

2024-05-11T15:07:37.325570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:37.885525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
4 1
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
1
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
1 1
 
2.2%

Length

2024-05-11T15:07:38.039331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:38.195326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
1 1
 
2.2%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing45
Missing (%)97.8%
Memory size500.0 B
2024-05-11T15:07:38.349241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T15:07:38.713348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing45
Missing (%)97.8%
Memory size500.0 B
2024-05-11T15:07:38.902552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반주거지역
ValueCountFrequency (%)
일반주거지역 1
100.0%
2024-05-11T15:07:39.235856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF324106199900000119991111<NA>3폐업3폐업20070101<NA><NA><NA>474-7716<NA>134010서울특별시 강동구 길동 ***-*번지서울특별시 강동구 양재대로***길 **-* (길동)<NA>도서출판 비전2007-08-30 18:14:36I2018-08-31 23:59:59.0<NA>212396.518647448366.664883음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13240000CDFF324106200100000120010503<NA>3폐업3폐업20070201<NA><NA><NA>474-7714<NA>134010서울특별시 강동구 길동 ***-*번지서울특별시 강동구 양재대로***길 **-* (길동)<NA>셀파미디어2007-08-30 18:16:47I2018-08-31 23:59:59.0<NA>212396.518647448366.664883음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFF324106200300000120030210<NA>1영업/정상13영업중<NA><NA><NA><NA>3412-7119<NA>134845서울특별시 강동구 성내동 ***-**번지 성원빌딩 ***호서울특별시 강동구 풍성로 *** (성내동,성원빌딩 ***호)<NA>(주)울트라사운드2006-05-09 13:03:42I2018-08-31 23:59:59.0<NA>211629.072787447513.543985음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFF324106200500000120050531<NA>1영업/정상13영업중<NA><NA><NA><NA>3485-8700<NA>134785서울특별시 강동구 천호동 ***-**번지 힐탑오피스텔 ***호서울특별시 강동구 천호대로 **** (천호동,힐탑오피스텔 ***호)<NA>디자인플러스2006-05-09 13:08:47I2018-08-31 23:59:59.0<NA>211542.314117448273.114107음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFF324106200500000220050809<NA>3폐업3폐업20120228<NA><NA><NA>441-3130<NA><NA>서울특별시 강동구 암사동 ***-*번지 지림빌딩 *층서울특별시 강동구 상암로 *-* (암사동,지림빌딩 *층)<NA>에스투미디어2012-02-29 09:21:01I2018-08-31 23:59:59.0<NA>210900.580549449909.956876음반.음악영상물제작업유통관련업<NA><NA>CD, Tape<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFF324106200600000120060714<NA>1영업/정상13영업중<NA><NA><NA><NA>472-5751<NA>134817서울특별시 강동구 둔촌동 **-*번지 *층 및 지층서울특별시 강동구 명일로 *** (둔촌동,*층 및 지층)<NA>도서출판 빔(BIM)2006-12-01 10:22:33I2018-08-31 23:59:59.0<NA>212669.948342447761.280204음반.음악영상물제작업유통관련업5기타음반16541근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63240000CDFF324106200600000220061110<NA>3폐업3폐업20101027<NA><NA><NA>1599-8871<NA><NA>서울특별시 강동구 성내동 ***-*번지 양지빌딩 ***호<NA><NA>주식회사 디지탈리스트2010-10-27 15:42:43I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>음반, 음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73240000CDFF324106200800000120080523<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134859서울특별시 강동구 암사동 ***-*번지 동양텍스빌 ***호서울특별시 강동구 상암로 ** (암사동,동양텍스빌 ***호)<NA>명선아트2008-05-23 09:34:43I2018-08-31 23:59:59.0<NA>211260.202995449774.572648음반.음악영상물제작업유통관련업<NA><NA>컴퓨터CD, CD, DVD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83240000CDFF324106201200000220100317<NA>3폐업3폐업20191030<NA><NA><NA>3454-0102<NA><NA>서울특별시 강동구 암사동 ***번지 대원아파트 ****호서울특별시 강동구 고덕로 **, ****호 (암사동, 대원아파트)5251(주)지인엔터테인먼트2019-10-31 08:52:22U2019-11-02 02:40:00.0<NA>211466.885452450264.276388음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFF324106201200000320120716<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-* *층서울특별시 강동구 천호옛*길 **-**, *층 (성내동)5386옐로우피치 스튜디오(Yellow Peach Studios)2022-03-30 16:51:07U2021-12-04 00:01:00.0<NA>210927.575645447858.305647<NA><NA><NA><NA><NA><NA><NA><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
363240000CDFF32410620220000042022-06-23<NA>5제외/삭제/전출15전출2024-01-23<NA><NA><NA>02-477-5007<NA><NA>서울특별시 강동구 천호동 ***-*서울특별시 강동구 구천면로**길 **-**, 지하*층 (천호동)5328주식회사 코리아뮤직그룹2024-01-23 15:58:14U2023-11-30 22:05:00.0<NA>210980.081792448647.823359<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373240000CDFF324106202200000520220708<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 *** 래미안 솔베뉴 ***동 ****호서울특별시 강동구 양재대로 ****, ***동 ****호 (명일동, 래미안 솔베뉴)5266에스큐스튜디오2022-07-11 11:49:19I2021-12-06 23:03:00.0<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>
383240000CDFF324106202200000720220908<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 *** 강일리버파크*단지 ***동 ****호서울특별시 강동구 고덕로**길 **, ***동 ****호 (강일동, 강일리버파크*단지)5216울프홀 사운드2022-09-08 15:07:26I2021-12-08 23:01:00.0<NA>215875.024969451370.39819<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393240000CDFF32410620220000082022-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-*서울특별시 강동구 성안로*길 **, 지하*층 (성내동)5399어메이징 에잇틴2023-07-04 17:21:38U2022-12-07 00:06:00.0<NA>211048.255522447235.077797<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403240000CDFF32410620230000012023-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 ***-** 조은빌 ***호서울특별시 강동구 양재대로***가길 **-*, ***호 (명일동, 조은빌)5296팔육구공2023-02-07 14:43:48I2022-12-02 00:09:00.0<NA>212654.49459449261.662664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413240000CDFF32410620230000022023-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-* 다성이즈텔 ***호서울특별시 강동구 성안로 ***, 다성이즈텔 ***호 (길동)5354토이사운드2023-03-31 15:29:56I2022-12-04 00:02:00.0<NA>211918.212579448361.378911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423240000CDFF32410620230000032023-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-482-9114<NA><NA>서울특별시 강동구 길동 ***-* 대우빌딩 *층서울특별시 강동구 천중로**길 *, 대우빌딩 *층 (길동)5304주식회사 나인프로젝트2023-04-06 13:33:59I2022-12-04 00:08:00.0<NA>212755.661844448788.663652<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433240000CDFF32410620230000042023-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-** 정산아파트서울특별시 강동구 고덕로 **, *층 ***-***호 (암사동, 정산아파트)5238트렌디뮤직2023-08-09 18:36:10I2022-12-07 23:01:00.0<NA>211458.648093450316.255473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443240000CDFF32410620230000052023-08-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-**서울특별시 강동구 천중로*길 **, *층 ***호 (천호동)5244지니필름2023-08-17 16:28:16I2022-12-07 23:09:00.0<NA>210930.35854449391.151706<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453240000CDFF32410620230000062023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 ** 삼익그린맨션서울특별시 강동구 고덕로 ***, ***동 ****호 (명일동, 삼익그린맨션)5267라임 사운드2023-09-27 09:43:24I2022-12-08 22:09:00.0<NA>213048.69218450124.105735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>