Overview

Dataset statistics

Number of variables56
Number of observations30
Missing cells756
Missing cells (%)45.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory492.4 B

Variable types

Categorical19
Text7
DateTime3
Numeric5
Unsupported22

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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17810/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (78.9%)Imbalance
소재지우편번호 is highly imbalanced (73.5%)Imbalance
총층수 is highly imbalanced (58.2%)Imbalance
지상층수 is highly imbalanced (58.2%)Imbalance
지하층수 is highly imbalanced (56.1%)Imbalance
통로너비 is highly imbalanced (78.9%)Imbalance
조명시설조도 is highly imbalanced (78.9%)Imbalance
노래방실수 is highly imbalanced (78.9%)Imbalance
청소년실수 is highly imbalanced (78.9%)Imbalance
총게임기수 is highly imbalanced (78.9%)Imbalance
폐업일자 has 14 (46.7%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 23 (76.7%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
도로명우편번호 has 2 (6.7%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
주변환경명 has 30 (100.0%) missing valuesMissing
제작취급품목내용 has 13 (43.3%) missing valuesMissing
시설면적 has 16 (53.3%) missing valuesMissing
비상계단여부 has 30 (100.0%) missing valuesMissing
비상구여부 has 30 (100.0%) missing valuesMissing
자동환기여부 has 30 (100.0%) missing valuesMissing
청소년실여부 has 30 (100.0%) missing valuesMissing
특수조명여부 has 30 (100.0%) missing valuesMissing
방음시설여부 has 30 (100.0%) missing valuesMissing
비디오재생기명 has 30 (100.0%) missing valuesMissing
조명시설유무 has 30 (100.0%) missing valuesMissing
음향시설여부 has 30 (100.0%) missing valuesMissing
편의시설여부 has 30 (100.0%) missing valuesMissing
소방시설여부 has 30 (100.0%) missing valuesMissing
기존게임업외업종명 has 30 (100.0%) missing valuesMissing
제공게임물명 has 30 (100.0%) missing valuesMissing
공연장형태구분명 has 30 (100.0%) missing valuesMissing
품목명 has 30 (100.0%) missing valuesMissing
최초등록시점 has 30 (100.0%) missing valuesMissing
지역구분명 has 28 (93.3%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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 (3.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:43:52.077093
Analysis finished2024-05-11 06:43:52.911454
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3080000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 30
100.0%

Length

2024-05-11T15:43:53.009735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:53.165346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:43:53.441777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061999000001
2nd rowCDFF3241062006000001
3rd rowCDFF3241062008000001
4th rowCDFF3241062012000002
5th rowCDFF3241062012000004
ValueCountFrequency (%)
cdff3241061999000001 1
 
3.3%
cdff3241062006000001 1
 
3.3%
cdff3241062023000001 1
 
3.3%
cdff3241062022000002 1
 
3.3%
cdff3241062022000001 1
 
3.3%
cdff3241062021000005 1
 
3.3%
cdff3241062021000004 1
 
3.3%
cdff3241062021000003 1
 
3.3%
cdff3241062021000002 1
 
3.3%
cdff3241062021000001 1
 
3.3%
Other values (20) 20
66.7%
2024-05-11T15:43:53.961342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
34.7%
2 89
14.8%
1 69
 
11.5%
F 60
 
10.0%
3 36
 
6.0%
4 35
 
5.8%
6 32
 
5.3%
C 30
 
5.0%
D 30
 
5.0%
9 4
 
0.7%
Other values (3) 7
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
43.3%
2 89
18.5%
1 69
 
14.4%
3 36
 
7.5%
4 35
 
7.3%
6 32
 
6.7%
9 4
 
0.8%
8 4
 
0.8%
5 2
 
0.4%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
43.3%
2 89
18.5%
1 69
 
14.4%
3 36
 
7.5%
4 35
 
7.3%
6 32
 
6.7%
9 4
 
0.8%
8 4
 
0.8%
5 2
 
0.4%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
34.7%
2 89
14.8%
1 69
 
11.5%
F 60
 
10.0%
3 36
 
6.0%
4 35
 
5.8%
6 32
 
5.3%
C 30
 
5.0%
D 30
 
5.0%
9 4
 
0.7%
Other values (3) 7
 
1.2%

인허가일자
Date

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1999-10-04 00:00:00
Maximum2023-12-06 00:00:00
2024-05-11T15:43:54.173320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:54.392095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
20131014
 
1

Length

Max length8
Median length4
Mean length4.1333333
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20131014

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
20131014 1
 
3.3%

Length

2024-05-11T15:43:54.640335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:54.818031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
20131014 1
 
3.3%

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
15 
1
13 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row4
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 15
50.0%
1 13
43.3%
4 2
 
6.7%

Length

2024-05-11T15:43:54.979427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:55.119046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 15
50.0%
1 13
43.3%
4 2
 
6.7%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
15 
영업/정상
13 
취소/말소/만료/정지/중지
2 

Length

Max length14
Median length9.5
Mean length4.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row취소/말소/만료/정지/중지
4th row폐업
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 15
50.0%
영업/정상 13
43.3%
취소/말소/만료/정지/중지 2
 
6.7%

Length

2024-05-11T15:43:55.268143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:55.423948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 15
50.0%
영업/정상 13
43.3%
취소/말소/만료/정지/중지 2
 
6.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
13 
34
10 
3
5 
35
 
1
32
 
1

Length

Max length2
Median length2
Mean length1.8333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row13
2nd row13
3rd row35
4th row34
5th row32

Common Values

ValueCountFrequency (%)
13 13
43.3%
34 10
33.3%
3 5
 
16.7%
35 1
 
3.3%
32 1
 
3.3%

Length

2024-05-11T15:43:55.650367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:55.850376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 13
43.3%
34 10
33.3%
3 5
 
16.7%
35 1
 
3.3%
32 1
 
3.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
13 
영업장폐쇄
10 
폐업
5 
직권말소
 
1
신고취소
 
1

Length

Max length5
Median length4
Mean length3.5666667
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row영업중
2nd row영업중
3rd row직권말소
4th row영업장폐쇄
5th row신고취소

Common Values

ValueCountFrequency (%)
영업중 13
43.3%
영업장폐쇄 10
33.3%
폐업 5
 
16.7%
직권말소 1
 
3.3%
신고취소 1
 
3.3%

Length

2024-05-11T15:43:56.047281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:56.250583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
43.3%
영업장폐쇄 10
33.3%
폐업 5
 
16.7%
직권말소 1
 
3.3%
신고취소 1
 
3.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)62.5%
Missing14
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean20154792
Minimum20130201
Maximum20221027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:43:56.475214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130201
5-th percentile20130201
Q120130201
median20130218
Q320190692
95-th percentile20220953
Maximum20221027
Range90826
Interquartile range (IQR)60491.5

Descriptive statistics

Standard deviation38518.047
Coefficient of variation (CV)0.0019111111
Kurtosis-0.81293465
Mean20154792
Median Absolute Deviation (MAD)17
Skewness1.0536299
Sum3.2247667 × 108
Variance1.4836399 × 109
MonotonicityNot monotonic
2024-05-11T15:43:56.712102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20130201 7
23.3%
20191231 1
 
3.3%
20130301 1
 
3.3%
20130228 1
 
3.3%
20130701 1
 
3.3%
20130208 1
 
3.3%
20220128 1
 
3.3%
20190513 1
 
3.3%
20220928 1
 
3.3%
20221027 1
 
3.3%
(Missing) 14
46.7%
ValueCountFrequency (%)
20130201 7
23.3%
20130208 1
 
3.3%
20130228 1
 
3.3%
20130301 1
 
3.3%
20130701 1
 
3.3%
20190513 1
 
3.3%
20191231 1
 
3.3%
20220128 1
 
3.3%
20220928 1
 
3.3%
20221027 1
 
3.3%
ValueCountFrequency (%)
20221027 1
 
3.3%
20220928 1
 
3.3%
20220128 1
 
3.3%
20191231 1
 
3.3%
20190513 1
 
3.3%
20130701 1
 
3.3%
20130301 1
 
3.3%
20130228 1
 
3.3%
20130208 1
 
3.3%
20130201 7
23.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Memory size372.0 B
2024-05-11T15:43:56.906409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.285714
Min length8

Characters and Unicode

Total characters79
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

Unique7 ?
Unique (%)100.0%

Sample

1st row945-5989
2nd row070-4158-1052
3rd row02-997-2461
4th row02-987-8642
5th row070-8844-8843
ValueCountFrequency (%)
945-5989 1
14.3%
070-4158-1052 1
14.3%
02-997-2461 1
14.3%
02-987-8642 1
14.3%
070-8844-8843 1
14.3%
02-3426-5782 1
14.3%
02-998-0209 1
14.3%
2024-05-11T15:43:57.341213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13
16.5%
0 11
13.9%
8 10
12.7%
2 10
12.7%
9 9
11.4%
4 8
10.1%
5 5
 
6.3%
7 5
 
6.3%
1 3
 
3.8%
6 3
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
83.5%
Dash Punctuation 13
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
16.7%
8 10
15.2%
2 10
15.2%
9 9
13.6%
4 8
12.1%
5 5
7.6%
7 5
7.6%
1 3
 
4.5%
6 3
 
4.5%
3 2
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 13
16.5%
0 11
13.9%
8 10
12.7%
2 10
12.7%
9 9
11.4%
4 8
10.1%
5 5
 
6.3%
7 5
 
6.3%
1 3
 
3.8%
6 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13
16.5%
0 11
13.9%
8 10
12.7%
2 10
12.7%
9 9
11.4%
4 8
10.1%
5 5
 
6.3%
7 5
 
6.3%
1 3
 
3.8%
6 3
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
142866
 
1
142823
 
1

Length

Max length6
Median length4
Mean length4.1333333
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row142866
2nd row142823
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
142866 1
 
3.3%
142823 1
 
3.3%

Length

2024-05-11T15:43:57.524358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:57.679812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
142866 1
 
3.3%
142823 1
 
3.3%

지번주소
Text

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:43:57.960441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length25.833333
Min length20

Characters and Unicode

Total characters775
Distinct characters56
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)63.3%

Sample

1st row서울특별시 강북구 번동 ***-*번지 *층
2nd row서울특별시 강북구 미아동 ***-****번지 청림하이빌 ***호
3rd row서울특별시 강북구 미아동 ***-**번지
4th row서울특별시 강북구 수유동 ***-**번지 지층
5th row서울특별시 강북구 번동 ***-**번지
ValueCountFrequency (%)
서울특별시 30
20.3%
강북구 30
20.3%
수유동 20
13.5%
번지 18
12.2%
13
8.8%
호 6
 
4.1%
번동 6
 
4.1%
층 4
 
2.7%
미아동 4
 
2.7%
지*층 2
 
1.4%
Other values (14) 15
10.1%
2024-05-11T15:43:58.494004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 165
21.3%
137
17.7%
강 31
 
4.0%
서 30
 
3.9%
북 30
 
3.9%
울 30
 
3.9%
구 30
 
3.9%
동 30
 
3.9%
시 30
 
3.9%
별 30
 
3.9%
Other values (46) 232
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
57.4%
Other Punctuation 165
 
21.3%
Space Separator 137
 
17.7%
Dash Punctuation 28
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 31
 
7.0%
서 30
 
6.7%
북 30
 
6.7%
울 30
 
6.7%
구 30
 
6.7%
동 30
 
6.7%
시 30
 
6.7%
별 30
 
6.7%
특 30
 
6.7%
번 24
 
5.4%
Other values (43) 150
33.7%
Other Punctuation
ValueCountFrequency (%)
* 165
100.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
57.4%
Common 330
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 31
 
7.0%
서 30
 
6.7%
북 30
 
6.7%
울 30
 
6.7%
구 30
 
6.7%
동 30
 
6.7%
시 30
 
6.7%
별 30
 
6.7%
특 30
 
6.7%
번 24
 
5.4%
Other values (43) 150
33.7%
Common
ValueCountFrequency (%)
* 165
50.0%
137
41.5%
- 28
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
57.4%
ASCII 330
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 165
50.0%
137
41.5%
- 28
 
8.5%
Hangul
ValueCountFrequency (%)
강 31
 
7.0%
서 30
 
6.7%
북 30
 
6.7%
울 30
 
6.7%
구 30
 
6.7%
동 30
 
6.7%
시 30
 
6.7%
별 30
 
6.7%
특 30
 
6.7%
번 24
 
5.4%
Other values (43) 150
33.7%

도로명주소
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:43:58.818013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length33.166667
Min length23

Characters and Unicode

Total characters995
Distinct characters74
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 강북구 덕릉로**길 **-* (번동,*층)
2nd row서울특별시 강북구 인수봉로**길 **, ***호 (미아동,청림하이빌)
3rd row서울특별시 강북구 솔매로 **-* (미아동)
4th row서울특별시 강북구 한천로***길 **, 지층 (수유동)
5th row서울특별시 강북구 도봉로 ***, 지층 (번동)
ValueCountFrequency (%)
31
15.5%
서울특별시 30
15.0%
강북구 30
15.0%
수유동 20
10.0%
호 12
 
6.0%
층 11
 
5.5%
지층 7
 
3.5%
한천로 7
 
3.5%
도봉로 5
 
2.5%
번동 5
 
2.5%
Other values (29) 42
21.0%
2024-05-11T15:43:59.307044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 176
17.7%
172
17.3%
, 33
 
3.3%
동 32
 
3.2%
강 31
 
3.1%
서 30
 
3.0%
) 30
 
3.0%
울 30
 
3.0%
로 30
 
3.0%
( 30
 
3.0%
Other values (64) 401
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
55.1%
Other Punctuation 209
 
21.0%
Space Separator 172
 
17.3%
Close Punctuation 30
 
3.0%
Open Punctuation 30
 
3.0%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
 
5.8%
강 31
 
5.7%
서 30
 
5.5%
울 30
 
5.5%
로 30
 
5.5%
구 30
 
5.5%
북 30
 
5.5%
시 30
 
5.5%
별 30
 
5.5%
특 30
 
5.5%
Other values (58) 245
44.7%
Other Punctuation
ValueCountFrequency (%)
* 176
84.2%
, 33
 
15.8%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 548
55.1%
Common 447
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
 
5.8%
강 31
 
5.7%
서 30
 
5.5%
울 30
 
5.5%
로 30
 
5.5%
구 30
 
5.5%
북 30
 
5.5%
시 30
 
5.5%
별 30
 
5.5%
특 30
 
5.5%
Other values (58) 245
44.7%
Common
ValueCountFrequency (%)
* 176
39.4%
172
38.5%
, 33
 
7.4%
) 30
 
6.7%
( 30
 
6.7%
- 6
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 548
55.1%
ASCII 447
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 176
39.4%
172
38.5%
, 33
 
7.4%
) 30
 
6.7%
( 30
 
6.7%
- 6
 
1.3%
Hangul
ValueCountFrequency (%)
동 32
 
5.8%
강 31
 
5.7%
서 30
 
5.5%
울 30
 
5.5%
로 30
 
5.5%
구 30
 
5.5%
북 30
 
5.5%
시 30
 
5.5%
별 30
 
5.5%
특 30
 
5.5%
Other values (58) 245
44.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)64.3%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean61740.143
Minimum1015
Maximum142876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:43:59.469717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1015
5-th percentile1039.4
Q11066.25
median1146
Q3142870
95-th percentile142876
Maximum142876
Range141861
Interquartile range (IQR)141803.75

Descriptive statistics

Standard deviation71318.908
Coefficient of variation (CV)1.1551465
Kurtosis-2.059527
Mean61740.143
Median Absolute Deviation (MAD)106
Skewness0.30531803
Sum1728724
Variance5.0863867 × 109
MonotonicityNot monotonic
2024-05-11T15:43:59.610849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
142876 7
23.3%
142073 4
13.3%
1054 2
 
6.7%
1080 1
 
3.3%
1062 1
 
3.3%
1158 1
 
3.3%
1111 1
 
3.3%
1038 1
 
3.3%
1094 1
 
3.3%
1127 1
 
3.3%
Other values (8) 8
26.7%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
1015 1
3.3%
1038 1
3.3%
1042 1
3.3%
1054 2
6.7%
1062 1
3.3%
1064 1
3.3%
1067 1
3.3%
1080 1
3.3%
1094 1
3.3%
1111 1
3.3%
ValueCountFrequency (%)
142876 7
23.3%
142868 1
 
3.3%
142073 4
13.3%
1219 1
 
3.3%
1158 1
 
3.3%
1134 1
 
3.3%
1127 1
 
3.3%
1113 1
 
3.3%
1111 1
 
3.3%
1094 1
 
3.3%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T15:43:59.923694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.8
Min length2

Characters and Unicode

Total characters234
Distinct characters91
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

Unique30 ?
Unique (%)100.0%

Sample

1st row생활성서사
2nd row삼림영상
3rd row천궁
4th rowOK노래영상제작실
5th row천궁노래영상제작실
ValueCountFrequency (%)
노래영상제작실 7
 
14.9%
사운드 2
 
4.3%
주식회사 2
 
4.3%
노래 2
 
4.3%
아티스트 1
 
2.1%
유나이티드 1
 
2.1%
지구톤 1
 
2.1%
질러유코인뮤비방 1
 
2.1%
주)텔다 1
 
2.1%
트리퍼 1
 
2.1%
Other values (28) 28
59.6%
2024-05-11T15:44:00.563761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
7.3%
노 13
 
5.6%
래 12
 
5.1%
영 12
 
5.1%
상 12
 
5.1%
실 11
 
4.7%
제 11
 
4.7%
작 11
 
4.7%
사 5
 
2.1%
트 5
 
2.1%
Other values (81) 125
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
85.9%
Space Separator 17
 
7.3%
Uppercase Letter 7
 
3.0%
Open Punctuation 3
 
1.3%
Close Punctuation 3
 
1.3%
Lowercase Letter 2
 
0.9%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 13
 
6.5%
래 12
 
6.0%
영 12
 
6.0%
상 12
 
6.0%
실 11
 
5.5%
제 11
 
5.5%
작 11
 
5.5%
사 5
 
2.5%
트 5
 
2.5%
뮤 5
 
2.5%
Other values (70) 104
51.7%
Uppercase Letter
ValueCountFrequency (%)
O 3
42.9%
Y 1
 
14.3%
J 1
 
14.3%
U 1
 
14.3%
K 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
85.9%
Common 24
 
10.3%
Latin 9
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 13
 
6.5%
래 12
 
6.0%
영 12
 
6.0%
상 12
 
6.0%
실 11
 
5.5%
제 11
 
5.5%
작 11
 
5.5%
사 5
 
2.5%
트 5
 
2.5%
뮤 5
 
2.5%
Other values (70) 104
51.7%
Latin
ValueCountFrequency (%)
O 3
33.3%
Y 1
 
11.1%
J 1
 
11.1%
n 1
 
11.1%
e 1
 
11.1%
U 1
 
11.1%
K 1
 
11.1%
Common
ValueCountFrequency (%)
17
70.8%
( 3
 
12.5%
) 3
 
12.5%
. 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
85.9%
ASCII 33
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
51.5%
( 3
 
9.1%
) 3
 
9.1%
O 3
 
9.1%
Y 1
 
3.0%
J 1
 
3.0%
n 1
 
3.0%
e 1
 
3.0%
. 1
 
3.0%
U 1
 
3.0%
Hangul
ValueCountFrequency (%)
노 13
 
6.5%
래 12
 
6.0%
영 12
 
6.0%
상 12
 
6.0%
실 11
 
5.5%
제 11
 
5.5%
작 11
 
5.5%
사 5
 
2.5%
트 5
 
2.5%
뮤 5
 
2.5%
Other values (70) 104
51.7%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2006-11-08 17:41:45
Maximum2023-12-06 09:52:27
2024-05-11T15:44:00.809934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:01.070268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
22 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowU
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 22
73.3%
U 8
 
26.7%

Length

2024-05-11T15:44:01.301743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:01.477064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
73.3%
u 8
 
26.7%

데이터갱신일자
Date

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 22:03:00
2024-05-11T15:44:01.619340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:44:01.818409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202108.57
Minimum200748.15
Maximum202756.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:44:02.030445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200748.15
5-th percentile201126.65
Q1201782.84
median202295.39
Q3202397.94
95-th percentile202683.31
Maximum202756.42
Range2008.2764
Interquartile range (IQR)615.10163

Descriptive statistics

Standard deviation504.97386
Coefficient of variation (CV)0.0024985277
Kurtosis0.87328843
Mean202108.57
Median Absolute Deviation (MAD)150.30285
Skewness-1.2128041
Sum6063257.2
Variance254998.6
MonotonicityNot monotonic
2024-05-11T15:44:02.644655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
202387.445798603 2
 
6.7%
202261.020973529 2
 
6.7%
202677.90973112 1
 
3.3%
202535.474544749 1
 
3.3%
202155.401317068 1
 
3.3%
202415.602798577 1
 
3.3%
201593.848961552 1
 
3.3%
201326.617946884 1
 
3.3%
201425.244526217 1
 
3.3%
201727.976024749 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
200748.148496424 1
3.3%
200963.033407157 1
3.3%
201326.617946884 1
3.3%
201425.244526217 1
3.3%
201593.848961552 1
3.3%
201606.445832012 1
3.3%
201645.647202807 1
3.3%
201727.976024749 1
3.3%
201947.420117151 1
3.3%
202150.218236008 1
3.3%
ValueCountFrequency (%)
202756.424908453 1
3.3%
202687.723910503 1
3.3%
202677.90973112 1
3.3%
202535.474544749 1
3.3%
202511.102551438 1
3.3%
202450.823926223 1
3.3%
202415.602798577 1
3.3%
202401.4362978 1
3.3%
202387.445798603 2
6.7%
202385.986370223 1
3.3%

좌표정보(Y)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459385.72
Minimum456751.4
Maximum460440.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:44:02.852014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456751.4
5-th percentile457927.04
Q1459126.47
median459747.14
Q3459817.95
95-th percentile460091.25
Maximum460440.53
Range3689.1339
Interquartile range (IQR)691.47441

Descriptive statistics

Standard deviation789.86971
Coefficient of variation (CV)0.0017194041
Kurtosis3.466909
Mean459385.72
Median Absolute Deviation (MAD)251.44141
Skewness-1.7897589
Sum13781572
Variance623894.15
MonotonicityNot monotonic
2024-05-11T15:44:03.083617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
459877.322172956 2
 
6.7%
459797.903492801 2
 
6.7%
458930.40542471 1
 
3.3%
459498.749255955 1
 
3.3%
459411.940883021 1
 
3.3%
457850.270024593 1
 
3.3%
459038.773562682 1
 
3.3%
460440.533254938 1
 
3.3%
459096.21304272 1
 
3.3%
459400.864060581 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
456751.39936703 1
3.3%
457850.270024593 1
3.3%
458020.87206315 1
3.3%
458077.6402941 1
3.3%
458930.40542471 1
3.3%
459038.773562682 1
3.3%
459096.21304272 1
3.3%
459116.426726053 1
3.3%
459156.609544031 1
3.3%
459275.818777357 1
3.3%
ValueCountFrequency (%)
460440.533254938 1
3.3%
460164.579224289 1
3.3%
460001.632075829 1
3.3%
459907.656885801 1
3.3%
459877.322172956 2
6.7%
459863.182891072 1
3.3%
459819.393676066 1
3.3%
459813.606319227 1
3.3%
459803.948110858 1
3.3%
459797.903492801 2
6.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
음반.음악영상물제작업
24 
<NA>
6 

Length

Max length11
Median length11
Mean length9.6
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 24
80.0%
<NA> 6
 
20.0%

Length

2024-05-11T15:44:03.359571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:03.551891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 24
80.0%
na 6
 
20.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
유통관련업
24 
<NA>
6 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 24
80.0%
<NA> 6
 
20.0%

Length

2024-05-11T15:44:03.737587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:03.928100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 24
80.0%
na 6
 
20.0%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
25 
5
 
2
4
 
1
8
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row<NA>
2nd row4
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 25
83.3%
5 2
 
6.7%
4 1
 
3.3%
8 1
 
3.3%
0 1
 
3.3%

Length

2024-05-11T15:44:04.136871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:04.350267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
83.3%
5 2
 
6.7%
4 1
 
3.3%
8 1
 
3.3%
0 1
 
3.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제작취급품목내용
Text

MISSING 

Distinct10
Distinct (%)58.8%
Missing13
Missing (%)43.3%
Memory size372.0 B
2024-05-11T15:44:04.584685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.6470588
Min length5

Characters and Unicode

Total characters113
Distinct characters21
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)35.3%

Sample

1st row음반제작업
2nd row영상비디오물
3rd row테입,CD
4th row음반,음악영상물
5th row음반, 음악영상물
ValueCountFrequency (%)
음반 4
16.7%
음반,음악영상물 3
12.5%
음반음악영상물 3
12.5%
뮤직비디오 3
12.5%
및 3
12.5%
영상 2
8.3%
음악영상물 2
8.3%
음반제작업 1
 
4.2%
영상비디오물 1
 
4.2%
테입,cd 1
 
4.2%
2024-05-11T15:44:05.123695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 19
16.8%
영 12
10.6%
상 12
10.6%
반 11
9.7%
물 9
8.0%
악 8
 
7.1%
7
 
6.2%
, 5
 
4.4%
오 4
 
3.5%
디 4
 
3.5%
Other values (11) 22
19.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
87.6%
Space Separator 7
 
6.2%
Other Punctuation 5
 
4.4%
Uppercase Letter 2
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 19
19.2%
영 12
12.1%
상 12
12.1%
반 11
11.1%
물 9
9.1%
악 8
8.1%
오 4
 
4.0%
디 4
 
4.0%
비 4
 
4.0%
직 3
 
3.0%
Other values (7) 13
13.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
87.6%
Common 12
 
10.6%
Latin 2
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 19
19.2%
영 12
12.1%
상 12
12.1%
반 11
11.1%
물 9
9.1%
악 8
8.1%
오 4
 
4.0%
디 4
 
4.0%
비 4
 
4.0%
직 3
 
3.0%
Other values (7) 13
13.1%
Common
ValueCountFrequency (%)
7
58.3%
, 5
41.7%
Latin
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
87.6%
ASCII 14
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 19
19.2%
영 12
12.1%
상 12
12.1%
반 11
11.1%
물 9
9.1%
악 8
8.1%
오 4
 
4.0%
디 4
 
4.0%
비 4
 
4.0%
직 3
 
3.0%
Other values (7) 13
13.1%
ASCII
ValueCountFrequency (%)
7
50.0%
, 5
35.7%
C 1
 
7.1%
D 1
 
7.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)92.9%
Missing16
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean81.421429
Minimum0
Maximum162.27
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T15:44:05.291442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.64
Q148.435
median97.5
Q3107.5625
95-th percentile132.6495
Maximum162.27
Range162.27
Interquartile range (IQR)59.1275

Descriptive statistics

Standard deviation43.504217
Coefficient of variation (CV)0.53430918
Kurtosis-0.23471729
Mean81.421429
Median Absolute Deviation (MAD)20.505
Skewness-0.22769892
Sum1139.9
Variance1892.6169
MonotonicityNot monotonic
2024-05-11T15:44:05.460836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
102.98 2
 
6.7%
47.19 1
 
3.3%
96.0 1
 
3.3%
112.0 1
 
3.3%
99.0 1
 
3.3%
38.23 1
 
3.3%
25.6 1
 
3.3%
162.27 1
 
3.3%
0.0 1
 
3.3%
116.7 1
 
3.3%
Other values (3) 3
 
10.0%
(Missing) 16
53.3%
ValueCountFrequency (%)
0.0 1
3.3%
25.6 1
3.3%
38.23 1
3.3%
47.19 1
3.3%
52.17 1
3.3%
75.69 1
3.3%
96.0 1
3.3%
99.0 1
3.3%
102.98 2
6.7%
109.09 1
3.3%
ValueCountFrequency (%)
162.27 1
3.3%
116.7 1
3.3%
112.0 1
3.3%
109.09 1
3.3%
102.98 2
6.7%
99.0 1
3.3%
96.0 1
3.3%
75.69 1
3.3%
52.17 1
3.3%
47.19 1
3.3%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
25 
4
 
2
6
 
1
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row4

Common Values

ValueCountFrequency (%)
<NA> 25
83.3%
4 2
 
6.7%
6 1
 
3.3%
2 1
 
3.3%
0 1
 
3.3%

Length

2024-05-11T15:44:05.649019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:05.803714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
83.3%
4 2
 
6.7%
6 1
 
3.3%
2 1
 
3.3%
0 1
 
3.3%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
25 
1
3 
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 25
83.3%
1 3
 
10.0%
2 1
 
3.3%
0 1
 
3.3%

Length

2024-05-11T15:44:05.979938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:06.139932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
83.3%
1 3
 
10.0%
2 1
 
3.3%
0 1
 
3.3%

건물용도명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
24 
근린생활시설
5 
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.7
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row다가구용 주택(공동주택적용)
3rd row<NA>
4th row근린생활시설
5th row근린생활시설

Common Values

ValueCountFrequency (%)
<NA> 24
80.0%
근린생활시설 5
 
16.7%
다가구용 주택(공동주택적용) 1
 
3.3%

Length

2024-05-11T15:44:06.286897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:06.427828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
77.4%
근린생활시설 5
 
16.1%
다가구용 1
 
3.2%
주택(공동주택적용 1
 
3.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T15:44:06.580012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:06.711503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T15:44:06.829089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:06.942639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T15:44:07.112072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:07.280191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T15:44:07.410222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:07.536247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T15:44:07.691345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:07.831051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
2024-05-11T15:44:07.983254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
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

Unique0 ?
Unique (%)0.0%

Sample

1st row일반주거지역
2nd row일반주거지역
ValueCountFrequency (%)
일반주거지역 2
100.0%
2024-05-11T15:44:08.305210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03080000CDFF324106199900000119991004<NA>1영업/정상13영업중<NA><NA><NA><NA>945-5989<NA>142866서울특별시 강북구 번동 ***-*번지 *층서울특별시 강북구 덕릉로**길 **-* (번동,*층)<NA>생활성서사2008-02-13 15:21:19I2018-08-31 23:59:59.0<NA>202677.909731458930.405425음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13080000CDFF324106200600000120061108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142823서울특별시 강북구 미아동 ***-****번지 청림하이빌 ***호서울특별시 강북구 인수봉로**길 **, ***호 (미아동,청림하이빌)<NA>삼림영상2006-11-08 17:41:45I2018-08-31 23:59:59.0<NA>200963.033407458020.872063음반.음악영상물제작업유통관련업4<NA>영상비디오물47.19<NA><NA>다가구용 주택(공동주택적용)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000CDFF324106200800000120080520<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**번지서울특별시 강북구 솔매로 **-* (미아동)1127천궁2020-01-02 10:15:44U2020-01-04 02:40:00.0<NA>201645.647203458077.640294음반.음악영상물제작업유통관련업<NA><NA>테입,CD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33080000CDFF324106201200000220120208<NA>3폐업34영업장폐쇄20130301<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**번지 지층서울특별시 강북구 한천로***길 **, 지층 (수유동)142876OK노래영상제작실2013-02-08 09:33:27I2018-08-31 23:59:59.0<NA>202357.329817459813.606319음반.음악영상물제작업유통관련업<NA><NA><NA>96.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
43080000CDFF324106201200000420120314201310144취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-**번지서울특별시 강북구 도봉로 ***, 지층 (번동)142868천궁노래영상제작실2013-10-01 10:36:36I2018-08-31 23:59:59.0<NA>202401.436298459707.059968음반.음악영상물제작업유통관련업5<NA>음반,음악영상물<NA>41근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53080000CDFF324106201200000520120314<NA>3폐업34영업장폐쇄20130201<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**번지서울특별시 강북구 한천로 ****, 지층 (수유동)142876파랑새 노래영상제작실2013-01-17 12:49:14I2018-08-31 23:59:59.0<NA>202270.679295459789.290047음반.음악영상물제작업유통관련업5<NA>음반, 음악영상물<NA>41근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63080000CDFF324106201200000620120315<NA>3폐업3폐업20130228<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*번지서울특별시 강북구 도봉로 *** (수유동)142876탈렌트 노래 기획2013-02-28 17:44:25I2018-08-31 23:59:59.0<NA>202450.823926459863.182891음반.음악영상물제작업유통관련업8<NA>음반음악영상물<NA>62근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
73080000CDFF324106201200000720120316<NA>3폐업34영업장폐쇄20130701<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**번지서울특별시 강북구 한천로 ****-* (수유동)142876요요 노래 영상제작실2013-06-18 11:11:17I2018-08-31 23:59:59.0<NA>202242.50246459819.393676음반.음악영상물제작업유통관련업<NA><NA>음반음악영상물<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83080000CDFF324106201200000820120322<NA>3폐업34영업장폐쇄20130201<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**번지서울특별시 강북구 한천로 **** (수유동)142876무한도전 노래영상제작실2013-01-17 12:42:56I2018-08-31 23:59:59.0<NA>202320.107705459762.44316음반.음악영상물제작업유통관련업<NA><NA>음반음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93080000CDFF324106201200000920120322<NA>3폐업34영업장폐쇄20130208<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*번지서울특별시 강북구 한천로***길 ** (수유동)142876친구 노래영상제작실2013-01-25 13:19:22I2018-08-31 23:59:59.0<NA>202321.87986459803.948111음반.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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
203080000CDFF324106202000000120201015<NA>1영업/정상13영업중<NA><NA><NA><NA>02-987-8642<NA><NA>서울특별시 강북구 번동 ***-** 창강빌딩서울특별시 강북구 덕릉로 ***, 창강빌딩 *층 ***호 (번동)1134(주)텔다2020-10-15 17:49:43I2020-10-17 00:23:10.0<NA>202511.102551459156.609544음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물109.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213080000CDFF324106202100000120121206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 *** 수유벽산아파트서울특별시 강북구 삼각산로 ***-*, *동 *층 ***호 (수유동, 수유벽산아파트)1042트리퍼 사운드2021-01-21 11:36:32U2021-01-23 02:40:00.0<NA>201606.445832460001.632076음반.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>
223080000CDFF324106202100000220210331<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8844-8843<NA><NA>서울특별시 강북구 수유동 *-*** ***호서울특별시 강북구 노해로*가길 **, *층 ***호 (수유동)1080유성이앤이 주식회사2021-03-31 17:30:25I2021-04-02 00:22:59.0<NA>201727.976025459400.864061음반.음악영상물제작업유통관련업<NA><NA>뮤직비디오52.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233080000CDFF324106202100000320120415<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3426-5782<NA><NA>서울특별시 강북구 수유동 ***-** ***호서울특별시 강북구 덕릉로 **, *층 ***호 (수유동)1094노리터뮤직2021-05-11 17:54:42I2021-05-12 00:23:08.0<NA>201425.244526459096.213043음반.음악영상물제작업유통관련업<NA><NA><NA>75.69<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243080000CDFF324106202100000420210730<NA>3폐업3폐업20220928<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-** 미래빌리지서울특별시 강북구 삼양로***길 **-*, *층 ***호 (수유동, 미래빌리지)1038조이(JOY)뮤직2022-09-28 17:36:57U2021-10-31 00:01:00.0<NA>201326.617947460440.533255<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253080000CDFF324106202100000520211105<NA>3폐업3폐업20221027<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-* 한창빌딩서울특별시 강북구 한천로***길 **, 한창빌딩 지층 (수유동)1054짝꿍 뮤비방2022-10-28 13:27:47U2021-10-30 21:00:00.0<NA>202387.445799459877.322173<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263080000CDFF324106202200000120220406<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*** 일선리치빌 ***호서울특별시 강북구 수유로 **-*, ***호 (수유동, 일선리치빌)1111원유(One.U)2022-04-06 16:38:06I2021-12-04 00:08:00.0<NA>201593.848962459038.773563<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273080000CDFF324106202200000220221101<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-* 한창빌딩서울특별시 강북구 한천로***길 **, 한창빌딩 지층 (수유동)1054짝꿍뮤비방2022-11-01 17:19:07I2021-11-01 00:03:00.0<NA>202387.445799459877.322173<NA><NA><NA><NA><NA><NA><NA><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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