Overview

Dataset statistics

Number of variables56
Number of observations80
Missing cells2225
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.1 KiB
Average record size in memory487.6 B

Variable types

Categorical16
Text7
DateTime4
Numeric8
Unsupported21

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17813/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지하층수 is highly imbalanced (53.8%)Imbalance
통로너비 is highly imbalanced (90.3%)Imbalance
조명시설조도 is highly imbalanced (90.3%)Imbalance
노래방실수 is highly imbalanced (90.3%)Imbalance
청소년실수 is highly imbalanced (90.3%)Imbalance
총게임기수 is highly imbalanced (90.3%)Imbalance
지역구분명 is highly imbalanced (57.9%)Imbalance
인허가취소일자 has 73 (91.2%) missing valuesMissing
폐업일자 has 53 (66.2%) missing valuesMissing
휴업시작일자 has 80 (100.0%) missing valuesMissing
휴업종료일자 has 80 (100.0%) missing valuesMissing
재개업일자 has 80 (100.0%) missing valuesMissing
전화번호 has 58 (72.5%) missing valuesMissing
소재지면적 has 80 (100.0%) missing valuesMissing
소재지우편번호 has 65 (81.2%) missing valuesMissing
도로명주소 has 2 (2.5%) missing valuesMissing
도로명우편번호 has 20 (25.0%) missing valuesMissing
업태구분명 has 80 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.5%) missing valuesMissing
좌표정보(Y) has 2 (2.5%) missing valuesMissing
총층수 has 60 (75.0%) missing valuesMissing
주변환경명 has 70 (87.5%) missing valuesMissing
제작취급품목내용 has 42 (52.5%) missing valuesMissing
시설면적 has 40 (50.0%) missing valuesMissing
지상층수 has 58 (72.5%) missing valuesMissing
비상계단여부 has 80 (100.0%) missing valuesMissing
비상구여부 has 80 (100.0%) missing valuesMissing
자동환기여부 has 80 (100.0%) missing valuesMissing
청소년실여부 has 80 (100.0%) missing valuesMissing
특수조명여부 has 80 (100.0%) missing valuesMissing
방음시설여부 has 80 (100.0%) missing valuesMissing
비디오재생기명 has 80 (100.0%) missing valuesMissing
조명시설유무 has 80 (100.0%) missing valuesMissing
음향시설여부 has 80 (100.0%) missing valuesMissing
편의시설여부 has 80 (100.0%) missing valuesMissing
소방시설여부 has 80 (100.0%) missing valuesMissing
기존게임업외업종명 has 80 (100.0%) missing valuesMissing
제공게임물명 has 80 (100.0%) missing valuesMissing
공연장형태구분명 has 80 (100.0%) missing valuesMissing
품목명 has 80 (100.0%) missing valuesMissing
최초등록시점 has 80 (100.0%) 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
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
총층수 has 1 (1.2%) zerosZeros
시설면적 has 1 (1.2%) zerosZeros
지상층수 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:23:59.512300
Analysis finished2024-05-11 06:24:00.726867
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3110000
80 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 80
100.0%

Length

2024-05-11T15:24:00.837672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:01.018382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 80
100.0%

관리번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T15:24:01.302130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1600
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

Unique80 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061981000001
2nd rowCDFF3241061993000001
3rd rowCDFF3241061998000001
4th rowCDFF3241061999000001
5th rowCDFF3241061999000002
ValueCountFrequency (%)
cdff3241061981000001 1
 
1.2%
cdff3241061993000001 1
 
1.2%
cdff3241062019000001 1
 
1.2%
cdff3241062018000003 1
 
1.2%
cdff3241062018000002 1
 
1.2%
cdff3241062018000001 1
 
1.2%
cdff3241062017000006 1
 
1.2%
cdff3241062017000005 1
 
1.2%
cdff3241062017000004 1
 
1.2%
cdff3241062019000002 1
 
1.2%
Other values (70) 70
87.5%
2024-05-11T15:24:01.844059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 574
35.9%
2 200
 
12.5%
1 165
 
10.3%
F 160
 
10.0%
3 105
 
6.6%
6 96
 
6.0%
4 94
 
5.9%
C 80
 
5.0%
D 80
 
5.0%
9 17
 
1.1%
Other values (3) 29
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1280
80.0%
Uppercase Letter 320
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 574
44.8%
2 200
 
15.6%
1 165
 
12.9%
3 105
 
8.2%
6 96
 
7.5%
4 94
 
7.3%
9 17
 
1.3%
5 13
 
1.0%
7 9
 
0.7%
8 7
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 160
50.0%
C 80
25.0%
D 80
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
80.0%
Latin 320
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 574
44.8%
2 200
 
15.6%
1 165
 
12.9%
3 105
 
8.2%
6 96
 
7.5%
4 94
 
7.3%
9 17
 
1.3%
5 13
 
1.0%
7 9
 
0.7%
8 7
 
0.5%
Latin
ValueCountFrequency (%)
F 160
50.0%
C 80
25.0%
D 80
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 574
35.9%
2 200
 
12.5%
1 165
 
10.3%
F 160
 
10.0%
3 105
 
6.6%
6 96
 
6.0%
4 94
 
5.9%
C 80
 
5.0%
D 80
 
5.0%
9 17
 
1.1%
Other values (3) 29
 
1.8%

인허가일자
Date

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1981-06-26 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T15:24:02.126000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:24:02.463364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing73
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean20172048
Minimum20120524
Maximum20200129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:02.683262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120524
5-th percentile20120526
Q120155526
median20190610
Q320191010
95-th percentile20197426
Maximum20200129
Range79605
Interquartile range (IQR)35484

Descriptive statistics

Standard deviation35361.194
Coefficient of variation (CV)0.0017529799
Kurtosis-0.86092378
Mean20172048
Median Absolute Deviation (MAD)508
Skewness-1.1875557
Sum1.4120434 × 108
Variance1.250414 × 109
MonotonicityNot monotonic
2024-05-11T15:24:02.901717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20120524 1
 
1.2%
20191118 1
 
1.2%
20190610 1
 
1.2%
20200129 1
 
1.2%
20120529 1
 
1.2%
20190902 1
 
1.2%
20190523 1
 
1.2%
(Missing) 73
91.2%
ValueCountFrequency (%)
20120524 1
1.2%
20120529 1
1.2%
20190523 1
1.2%
20190610 1
1.2%
20190902 1
1.2%
20191118 1
1.2%
20200129 1
1.2%
ValueCountFrequency (%)
20200129 1
1.2%
20191118 1
1.2%
20190902 1
1.2%
20190610 1
1.2%
20190523 1
1.2%
20120529 1
1.2%
20120524 1
1.2%

영업상태코드
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
1
46 
3
25 
4
7 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
57.5%
3 25
31.2%
4 7
 
8.8%
5 2
 
2.5%

Length

2024-05-11T15:24:03.148921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:03.376384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
57.5%
3 25
31.2%
4 7
 
8.8%
5 2
 
2.5%

영업상태명
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업/정상
46 
폐업
25 
취소/말소/만료/정지/중지
7 
제외/삭제/전출
 
2

Length

Max length14
Median length5
Mean length4.925
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 46
57.5%
폐업 25
31.2%
취소/말소/만료/정지/중지 7
 
8.8%
제외/삭제/전출 2
 
2.5%

Length

2024-05-11T15:24:03.588195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:03.799930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 46
57.5%
폐업 25
31.2%
취소/말소/만료/정지/중지 7
 
8.8%
제외/삭제/전출 2
 
2.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
13
46 
3
25 
31
5 
32
 
2
15
 
2

Length

Max length2
Median length2
Mean length1.6875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 46
57.5%
3 25
31.2%
31 5
 
6.2%
32 2
 
2.5%
15 2
 
2.5%

Length

2024-05-11T15:24:04.033776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:04.272228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 46
57.5%
3 25
31.2%
31 5
 
6.2%
32 2
 
2.5%
15 2
 
2.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업중
46 
폐업
25 
등록취소
5 
신고취소
 
2
전출
 
2

Length

Max length4
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 46
57.5%
폐업 25
31.2%
등록취소 5
 
6.2%
신고취소 2
 
2.5%
전출 2
 
2.5%

Length

2024-05-11T15:24:04.820507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:05.004298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 46
57.5%
폐업 25
31.2%
등록취소 5
 
6.2%
신고취소 2
 
2.5%
전출 2
 
2.5%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)96.3%
Missing53
Missing (%)66.2%
Memory size772.0 B
Minimum2009-06-22 00:00:00
Maximum2024-01-12 00:00:00
2024-05-11T15:24:05.171992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:24:05.389619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing58
Missing (%)72.5%
Memory size772.0 B
2024-05-11T15:24:05.731154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.0909091
Min length8

Characters and Unicode

Total characters200
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row031-915-6505
2nd row383-2925~8
3rd row388-4119
4th row375-6564
5th row382-1545
ValueCountFrequency (%)
383-2925~8 1
 
4.5%
388-4119 1
 
4.5%
888-3091 1
 
4.5%
02-6494-1700 1
 
4.5%
356-6361 1
 
4.5%
359-3208 1
 
4.5%
388-0001 1
 
4.5%
0344-867-2154 1
 
4.5%
3142-5643 1
 
4.5%
02-307-6557 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T15:24:06.281739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 32
16.0%
- 27
13.5%
5 25
12.5%
6 19
9.5%
0 17
8.5%
4 16
8.0%
1 16
8.0%
8 13
6.5%
2 11
 
5.5%
9 11
 
5.5%
Other values (2) 13
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
85.5%
Dash Punctuation 27
 
13.5%
Math Symbol 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 32
18.7%
5 25
14.6%
6 19
11.1%
0 17
9.9%
4 16
9.4%
1 16
9.4%
8 13
7.6%
2 11
 
6.4%
9 11
 
6.4%
7 11
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 32
16.0%
- 27
13.5%
5 25
12.5%
6 19
9.5%
0 17
8.5%
4 16
8.0%
1 16
8.0%
8 13
6.5%
2 11
 
5.5%
9 11
 
5.5%
Other values (2) 13
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 32
16.0%
- 27
13.5%
5 25
12.5%
6 19
9.5%
0 17
8.5%
4 16
8.0%
1 16
8.0%
8 13
6.5%
2 11
 
5.5%
9 11
 
5.5%
Other values (2) 13
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing65
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean122887.47
Minimum122810
Maximum122960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:06.503878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122810
5-th percentile122816.3
Q1122859.5
median122899
Q3122911
95-th percentile122953.7
Maximum122960
Range150
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation45.32717
Coefficient of variation (CV)0.00036885104
Kurtosis-0.59819945
Mean122887.47
Median Absolute Deviation (MAD)17
Skewness-0.36338851
Sum1843312
Variance2054.5524
MonotonicityNot monotonic
2024-05-11T15:24:06.711893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
122899 2
 
2.5%
122829 1
 
1.2%
122907 1
 
1.2%
122912 1
 
1.2%
122882 1
 
1.2%
122960 1
 
1.2%
122810 1
 
1.2%
122951 1
 
1.2%
122819 1
 
1.2%
122918 1
 
1.2%
Other values (4) 4
 
5.0%
(Missing) 65
81.2%
ValueCountFrequency (%)
122810 1
1.2%
122819 1
1.2%
122829 1
1.2%
122837 1
1.2%
122882 1
1.2%
122883 1
1.2%
122896 1
1.2%
122899 2
2.5%
122907 1
1.2%
122910 1
1.2%
ValueCountFrequency (%)
122960 1
1.2%
122951 1
1.2%
122918 1
1.2%
122912 1
1.2%
122910 1
1.2%
122907 1
1.2%
122899 2
2.5%
122896 1
1.2%
122883 1
1.2%
122882 1
1.2%

지번주소
Text

Distinct68
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T15:24:07.093315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length25.1875
Min length17

Characters and Unicode

Total characters2015
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)73.8%

Sample

1st row서울특별시 은평구 녹번동 **-**번지 서부빌딩*층
2nd row서울특별시 은평구 응암동 **-*번지
3rd row서울특별시 은평구 응암동 ***-**번지
4th row서울특별시 은평구 신사동 **-**번지
5th row서울특별시 은평구 역촌동 **-*번지
ValueCountFrequency (%)
서울특별시 80
20.5%
은평구 80
20.5%
번지 55
14.1%
25
 
6.4%
응암동 18
 
4.6%
역촌동 17
 
4.3%
호 15
 
3.8%
지층 14
 
3.6%
갈현동 11
 
2.8%
대조동 9
 
2.3%
Other values (37) 67
17.1%
2024-05-11T15:24:07.747965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 390
19.4%
364
18.1%
동 87
 
4.3%
서 84
 
4.2%
평 82
 
4.1%
은 82
 
4.1%
울 81
 
4.0%
구 81
 
4.0%
시 80
 
4.0%
별 80
 
4.0%
Other values (90) 604
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1180
58.6%
Other Punctuation 391
 
19.4%
Space Separator 364
 
18.1%
Dash Punctuation 77
 
3.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 87
 
7.4%
서 84
 
7.1%
평 82
 
6.9%
은 82
 
6.9%
울 81
 
6.9%
구 81
 
6.9%
시 80
 
6.8%
별 80
 
6.8%
특 80
 
6.8%
지 75
 
6.4%
Other values (83) 368
31.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
G 1
33.3%
L 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 390
99.7%
, 1
 
0.3%
Space Separator
ValueCountFrequency (%)
364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1180
58.6%
Common 832
41.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 87
 
7.4%
서 84
 
7.1%
평 82
 
6.9%
은 82
 
6.9%
울 81
 
6.9%
구 81
 
6.9%
시 80
 
6.8%
별 80
 
6.8%
특 80
 
6.8%
지 75
 
6.4%
Other values (83) 368
31.2%
Common
ValueCountFrequency (%)
* 390
46.9%
364
43.8%
- 77
 
9.3%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
B 1
33.3%
G 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1180
58.6%
ASCII 835
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 390
46.7%
364
43.6%
- 77
 
9.2%
, 1
 
0.1%
B 1
 
0.1%
G 1
 
0.1%
L 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 87
 
7.4%
서 84
 
7.1%
평 82
 
6.9%
은 82
 
6.9%
울 81
 
6.9%
구 81
 
6.9%
시 80
 
6.8%
별 80
 
6.8%
특 80
 
6.8%
지 75
 
6.4%
Other values (83) 368
31.2%

도로명주소
Text

MISSING 

Distinct78
Distinct (%)100.0%
Missing2
Missing (%)2.5%
Memory size772.0 B
2024-05-11T15:24:08.192119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length30.897436
Min length22

Characters and Unicode

Total characters2410
Distinct characters116
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

Unique78 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 서오릉로 ** (녹번동,서부빌딩*층)
2nd row서울특별시 은평구 백련산로**길 * (응암동)
3rd row서울특별시 은평구 백련산로 *** (응암동)
4th row서울특별시 은평구 연서로 ** (역촌동)
5th row서울특별시 은평구 연서로 **-* (역촌동)
ValueCountFrequency (%)
서울특별시 78
16.4%
은평구 78
16.4%
78
16.4%
호 22
 
4.6%
응암동 15
 
3.1%
역촌동 15
 
3.1%
지층 14
 
2.9%
층 13
 
2.7%
동 10
 
2.1%
갈현동 9
 
1.9%
Other values (73) 145
30.4%
2024-05-11T15:24:08.749231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
414
17.2%
* 372
 
15.4%
서 102
 
4.2%
동 90
 
3.7%
은 86
 
3.6%
평 85
 
3.5%
구 80
 
3.3%
울 79
 
3.3%
특 78
 
3.2%
별 78
 
3.2%
Other values (106) 946
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1368
56.8%
Other Punctuation 442
 
18.3%
Space Separator 414
 
17.2%
Close Punctuation 78
 
3.2%
Open Punctuation 78
 
3.2%
Dash Punctuation 27
 
1.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 102
 
7.5%
동 90
 
6.6%
은 86
 
6.3%
평 85
 
6.2%
구 80
 
5.8%
울 79
 
5.8%
특 78
 
5.7%
별 78
 
5.7%
시 78
 
5.7%
로 77
 
5.6%
Other values (97) 535
39.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
L 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 372
84.2%
, 70
 
15.8%
Space Separator
ValueCountFrequency (%)
414
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1368
56.8%
Common 1039
43.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 102
 
7.5%
동 90
 
6.6%
은 86
 
6.3%
평 85
 
6.2%
구 80
 
5.8%
울 79
 
5.8%
특 78
 
5.7%
별 78
 
5.7%
시 78
 
5.7%
로 77
 
5.6%
Other values (97) 535
39.1%
Common
ValueCountFrequency (%)
414
39.8%
* 372
35.8%
) 78
 
7.5%
( 78
 
7.5%
, 70
 
6.7%
- 27
 
2.6%
Latin
ValueCountFrequency (%)
G 1
33.3%
L 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1368
56.8%
ASCII 1042
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
414
39.7%
* 372
35.7%
) 78
 
7.5%
( 78
 
7.5%
, 70
 
6.7%
- 27
 
2.6%
G 1
 
0.1%
L 1
 
0.1%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
서 102
 
7.5%
동 90
 
6.6%
은 86
 
6.3%
평 85
 
6.2%
구 80
 
5.8%
울 79
 
5.8%
특 78
 
5.7%
별 78
 
5.7%
시 78
 
5.7%
로 77
 
5.6%
Other values (97) 535
39.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)75.0%
Missing20
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean9381.2
Minimum3306
Maximum122939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:08.957409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3306
5-th percentile3329.95
Q13374.5
median3405
Q33457.75
95-th percentile9473.8
Maximum122939
Range119633
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation26267.604
Coefficient of variation (CV)2.800026
Kurtosis16.493635
Mean9381.2
Median Absolute Deviation (MAD)36.5
Skewness4.236105
Sum562872
Variance6.8998703 × 108
MonotonicityNot monotonic
2024-05-11T15:24:09.192020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
3330 4
 
5.0%
3385 3
 
3.8%
3406 3
 
3.8%
3382 3
 
3.8%
3396 2
 
2.5%
3485 2
 
2.5%
3457 2
 
2.5%
3481 2
 
2.5%
3415 2
 
2.5%
3371 2
 
2.5%
Other values (35) 35
43.8%
(Missing) 20
25.0%
ValueCountFrequency (%)
3306 1
 
1.2%
3321 1
 
1.2%
3329 1
 
1.2%
3330 4
5.0%
3331 1
 
1.2%
3336 1
 
1.2%
3349 1
 
1.2%
3358 1
 
1.2%
3368 1
 
1.2%
3371 2
2.5%
ValueCountFrequency (%)
122939 1
1.2%
122923 1
1.2%
122900 1
1.2%
3504 1
1.2%
3503 1
1.2%
3485 2
2.5%
3481 2
2.5%
3477 1
1.2%
3469 1
1.2%
3468 1
1.2%

사업장명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T15:24:09.518185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.875
Min length2

Characters and Unicode

Total characters550
Distinct characters182
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

Unique80 ?
Unique (%)100.0%

Sample

1st row(주)대성음반
2nd row아남레코드사
3rd row서일미디어
4th row비너스뮤직
5th row문화미디콤
ValueCountFrequency (%)
주식회사 3
 
3.0%
스카이 2
 
2.0%
music 2
 
2.0%
주)대성음반 1
 
1.0%
사운드랩 1
 
1.0%
스튜디오 1
 
1.0%
케이제이 1
 
1.0%
카톡노래영상 1
 
1.0%
발리노래뮤비방 1
 
1.0%
하이 1
 
1.0%
Other values (85) 85
85.9%
2024-05-11T15:24:10.041202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
3.5%
래 19
 
3.5%
노 19
 
3.5%
스 17
 
3.1%
이 16
 
2.9%
( 14
 
2.5%
) 14
 
2.5%
주 12
 
2.2%
디 12
 
2.2%
오 10
 
1.8%
Other values (172) 398
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
78.5%
Uppercase Letter 41
 
7.5%
Lowercase Letter 26
 
4.7%
Space Separator 19
 
3.5%
Open Punctuation 14
 
2.5%
Close Punctuation 14
 
2.5%
Other Punctuation 3
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 19
 
4.4%
노 19
 
4.4%
스 17
 
3.9%
이 16
 
3.7%
주 12
 
2.8%
디 12
 
2.8%
오 10
 
2.3%
뮤 10
 
2.3%
사 9
 
2.1%
가 9
 
2.1%
Other values (134) 299
69.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
 
9.8%
I 4
 
9.8%
M 4
 
9.8%
N 3
 
7.3%
U 3
 
7.3%
E 3
 
7.3%
R 3
 
7.3%
B 2
 
4.9%
C 2
 
4.9%
H 2
 
4.9%
Other values (8) 11
26.8%
Lowercase Letter
ValueCountFrequency (%)
o 4
15.4%
e 3
11.5%
s 2
 
7.7%
u 2
 
7.7%
i 2
 
7.7%
k 2
 
7.7%
a 2
 
7.7%
r 2
 
7.7%
t 1
 
3.8%
g 1
 
3.8%
Other values (5) 5
19.2%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
78.5%
Latin 67
 
12.2%
Common 51
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 19
 
4.4%
노 19
 
4.4%
스 17
 
3.9%
이 16
 
3.7%
주 12
 
2.8%
디 12
 
2.8%
오 10
 
2.3%
뮤 10
 
2.3%
사 9
 
2.1%
가 9
 
2.1%
Other values (134) 299
69.2%
Latin
ValueCountFrequency (%)
o 4
 
6.0%
S 4
 
6.0%
I 4
 
6.0%
M 4
 
6.0%
e 3
 
4.5%
N 3
 
4.5%
U 3
 
4.5%
E 3
 
4.5%
R 3
 
4.5%
B 2
 
3.0%
Other values (23) 34
50.7%
Common
ValueCountFrequency (%)
19
37.3%
( 14
27.5%
) 14
27.5%
& 3
 
5.9%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
78.5%
ASCII 118
 
21.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
16.1%
( 14
 
11.9%
) 14
 
11.9%
o 4
 
3.4%
S 4
 
3.4%
I 4
 
3.4%
M 4
 
3.4%
e 3
 
2.5%
N 3
 
2.5%
U 3
 
2.5%
Other values (28) 46
39.0%
Hangul
ValueCountFrequency (%)
래 19
 
4.4%
노 19
 
4.4%
스 17
 
3.9%
이 16
 
3.7%
주 12
 
2.8%
디 12
 
2.8%
오 10
 
2.3%
뮤 10
 
2.3%
사 9
 
2.1%
가 9
 
2.1%
Other values (134) 299
69.2%

최종수정일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2006-02-09 14:28:45
Maximum2024-02-19 16:55:13
2024-05-11T15:24:10.291082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:24:10.464850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
I
58 
U
22 

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 58
72.5%
U 22
 
27.5%

Length

2024-05-11T15:24:10.608555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:10.729364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 58
72.5%
u 22
 
27.5%

데이터갱신일자
Date

Distinct37
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:01:00
2024-05-11T15:24:10.870902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:24:11.049194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)92.3%
Missing2
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean192803.2
Minimum190565.6
Maximum194353.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:11.290700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190565.6
5-th percentile191801.01
Q1192510.42
median192780.15
Q3193189.26
95-th percentile194109.79
Maximum194353.33
Range3787.7307
Interquartile range (IQR)678.84248

Descriptive statistics

Standard deviation724.74156
Coefficient of variation (CV)0.0037589707
Kurtosis1.3457242
Mean192803.2
Median Absolute Deviation (MAD)374.31597
Skewness-0.40269621
Sum15038649
Variance525250.34
MonotonicityNot monotonic
2024-05-11T15:24:11.516993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193687.83561561 2
 
2.5%
192703.554798039 2
 
2.5%
192615.753677069 2
 
2.5%
194197.238221515 2
 
2.5%
193090.767455628 2
 
2.5%
192861.697564583 2
 
2.5%
193402.55302714 1
 
1.2%
194353.326216093 1
 
1.2%
192772.94973269 1
 
1.2%
191550.070425136 1
 
1.2%
Other values (62) 62
77.5%
(Missing) 2
 
2.5%
ValueCountFrequency (%)
190565.595469248 1
1.2%
190667.735544513 1
1.2%
191058.008397579 1
1.2%
191550.070425136 1
1.2%
191845.288972223 1
1.2%
191904.496929086 1
1.2%
191934.753646506 1
1.2%
192034.098164671 1
1.2%
192041.353385721 1
1.2%
192166.132783319 1
1.2%
ValueCountFrequency (%)
194353.326216093 1
1.2%
194197.238221515 2
2.5%
194158.845416297 1
1.2%
194101.134591972 1
1.2%
194029.235749604 1
1.2%
193778.588963335 1
1.2%
193715.943207516 1
1.2%
193687.83561561 2
2.5%
193630.612534041 1
1.2%
193506.3976119 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)92.3%
Missing2
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean455781.06
Minimum452946.25
Maximum459166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:11.743965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452946.25
5-th percentile453575.31
Q1455103.26
median455886.52
Q3456536.77
95-th percentile457661.74
Maximum459166
Range6219.7533
Interquartile range (IQR)1433.5168

Descriptive statistics

Standard deviation1262.0944
Coefficient of variation (CV)0.0027690803
Kurtosis-0.21352145
Mean455781.06
Median Absolute Deviation (MAD)717.91151
Skewness-0.041106802
Sum35550923
Variance1592882.2
MonotonicityNot monotonic
2024-05-11T15:24:11.965037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456469.658454439 2
 
2.5%
455605.150799206 2
 
2.5%
454619.868046912 2
 
2.5%
455432.835557713 2
 
2.5%
455999.944403608 2
 
2.5%
457242.368861033 2
 
2.5%
456847.885474419 1
 
1.2%
455506.510530336 1
 
1.2%
457705.298322082 1
 
1.2%
454166.66971246 1
 
1.2%
Other values (62) 62
77.5%
(Missing) 2
 
2.5%
ValueCountFrequency (%)
452946.246733537 1
1.2%
453370.070726004 1
1.2%
453444.375787943 1
1.2%
453516.699551356 1
1.2%
453585.65095991 1
1.2%
453810.585369739 1
1.2%
453822.561221924 1
1.2%
453974.770405352 1
1.2%
454037.13815413 1
1.2%
454138.437022129 1
1.2%
ValueCountFrequency (%)
459166.0 1
1.2%
458084.679952437 1
1.2%
457705.298322082 1
1.2%
457668.191506713 1
1.2%
457660.603954982 1
1.2%
457590.496811801 1
1.2%
457465.324998169 1
1.2%
457461.823530957 1
1.2%
457456.581805759 1
1.2%
457389.297072973 1
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
음반.음악영상물제작업
66 
<NA>
14 

Length

Max length11
Median length11
Mean length9.775
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 66
82.5%
<NA> 14
 
17.5%

Length

2024-05-11T15:24:12.179371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:12.341179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 66
82.5%
na 14
 
17.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
유통관련업
66 
<NA>
14 

Length

Max length5
Median length5
Mean length4.825
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 66
82.5%
<NA> 14
 
17.5%

Length

2024-05-11T15:24:12.552315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:12.742217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 66
82.5%
na 14
 
17.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)40.0%
Missing60
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean4.8
Minimum0
Maximum16
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:12.918319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q13
median4.5
Q35
95-th percentile15.05
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.9550101
Coefficient of variation (CV)0.82396045
Kurtosis4.5696016
Mean4.8
Median Absolute Deviation (MAD)1
Skewness2.1103217
Sum96
Variance15.642105
MonotonicityNot monotonic
2024-05-11T15:24:13.154489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 8
 
10.0%
3 4
 
5.0%
2 2
 
2.5%
4 2
 
2.5%
1 1
 
1.2%
15 1
 
1.2%
16 1
 
1.2%
0 1
 
1.2%
(Missing) 60
75.0%
ValueCountFrequency (%)
0 1
 
1.2%
1 1
 
1.2%
2 2
 
2.5%
3 4
5.0%
4 2
 
2.5%
5 8
10.0%
15 1
 
1.2%
16 1
 
1.2%
ValueCountFrequency (%)
16 1
 
1.2%
15 1
 
1.2%
5 8
10.0%
4 2
 
2.5%
3 4
5.0%
2 2
 
2.5%
1 1
 
1.2%
0 1
 
1.2%

주변환경명
Text

MISSING 

Distinct5
Distinct (%)50.0%
Missing70
Missing (%)87.5%
Memory size772.0 B
2024-05-11T15:24:13.411313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.7
Min length2

Characters and Unicode

Total characters47
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)20.0%

Sample

1st row주택가주변
2nd row학교정화(상대)
3rd row기타
4th row아파트지역
5th row학교정화(절대)
ValueCountFrequency (%)
기타 4
40.0%
주택가주변 2
20.0%
학교정화(상대 2
20.0%
아파트지역 1
 
10.0%
학교정화(절대 1
 
10.0%
2024-05-11T15:24:14.152758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 4
 
8.5%
주 4
 
8.5%
타 4
 
8.5%
정 3
 
6.4%
) 3
 
6.4%
대 3
 
6.4%
화 3
 
6.4%
( 3
 
6.4%
교 3
 
6.4%
학 3
 
6.4%
Other values (10) 14
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
87.2%
Close Punctuation 3
 
6.4%
Open Punctuation 3
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4
 
9.8%
주 4
 
9.8%
타 4
 
9.8%
정 3
 
7.3%
대 3
 
7.3%
화 3
 
7.3%
교 3
 
7.3%
학 3
 
7.3%
변 2
 
4.9%
상 2
 
4.9%
Other values (8) 10
24.4%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
87.2%
Common 6
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4
 
9.8%
주 4
 
9.8%
타 4
 
9.8%
정 3
 
7.3%
대 3
 
7.3%
화 3
 
7.3%
교 3
 
7.3%
학 3
 
7.3%
변 2
 
4.9%
상 2
 
4.9%
Other values (8) 10
24.4%
Common
ValueCountFrequency (%)
) 3
50.0%
( 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
87.2%
ASCII 6
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 4
 
9.8%
주 4
 
9.8%
타 4
 
9.8%
정 3
 
7.3%
대 3
 
7.3%
화 3
 
7.3%
교 3
 
7.3%
학 3
 
7.3%
변 2
 
4.9%
상 2
 
4.9%
Other values (8) 10
24.4%
ASCII
ValueCountFrequency (%)
) 3
50.0%
( 3
50.0%

제작취급품목내용
Text

MISSING 

Distinct29
Distinct (%)76.3%
Missing42
Missing (%)52.5%
Memory size772.0 B
2024-05-11T15:24:14.458280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length8.8157895
Min length2

Characters and Unicode

Total characters335
Distinct characters50
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

Unique24 ?
Unique (%)63.2%

Sample

1st row음반
2nd row음반,영상물
3rd row음반,영상물
4th row음반,음악영상물물
5th row음반,음악 dvd,cd
ValueCountFrequency (%)
음반 7
 
10.6%
음반음악영상물 5
 
7.6%
음반,음악영상물 5
 
7.6%
제작 4
 
6.1%
cd 3
 
4.5%
영상 3
 
4.5%
영상물 3
 
4.5%
뮤직비디오 3
 
4.5%
음반제작 2
 
3.0%
음악 2
 
3.0%
Other values (24) 29
43.9%
2024-05-11T15:24:15.066326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 51
15.2%
영 28
 
8.4%
상 28
 
8.4%
, 28
 
8.4%
28
 
8.4%
반 27
 
8.1%
물 22
 
6.6%
악 20
 
6.0%
제 11
 
3.3%
작 11
 
3.3%
Other values (40) 81
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
75.5%
Other Punctuation 29
 
8.7%
Space Separator 28
 
8.4%
Uppercase Letter 14
 
4.2%
Lowercase Letter 7
 
2.1%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 51
20.2%
영 28
11.1%
상 28
11.1%
반 27
10.7%
물 22
8.7%
악 20
 
7.9%
제 11
 
4.3%
작 11
 
4.3%
디 7
 
2.8%
오 4
 
1.6%
Other values (26) 44
17.4%
Uppercase Letter
ValueCountFrequency (%)
D 4
28.6%
S 3
21.4%
U 2
14.3%
B 2
14.3%
C 2
14.3%
L 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
d 4
57.1%
c 2
28.6%
v 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 28
96.6%
. 1
 
3.4%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
75.5%
Common 61
 
18.2%
Latin 21
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 51
20.2%
영 28
11.1%
상 28
11.1%
반 27
10.7%
물 22
8.7%
악 20
 
7.9%
제 11
 
4.3%
작 11
 
4.3%
디 7
 
2.8%
오 4
 
1.6%
Other values (26) 44
17.4%
Latin
ValueCountFrequency (%)
D 4
19.0%
d 4
19.0%
S 3
14.3%
U 2
9.5%
B 2
9.5%
C 2
9.5%
c 2
9.5%
L 1
 
4.8%
v 1
 
4.8%
Common
ValueCountFrequency (%)
, 28
45.9%
28
45.9%
( 2
 
3.3%
) 2
 
3.3%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
75.5%
ASCII 82
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 51
20.2%
영 28
11.1%
상 28
11.1%
반 27
10.7%
물 22
8.7%
악 20
 
7.9%
제 11
 
4.3%
작 11
 
4.3%
디 7
 
2.8%
오 4
 
1.6%
Other values (26) 44
17.4%
ASCII
ValueCountFrequency (%)
, 28
34.1%
28
34.1%
D 4
 
4.9%
d 4
 
4.9%
S 3
 
3.7%
( 2
 
2.4%
U 2
 
2.4%
B 2
 
2.4%
C 2
 
2.4%
c 2
 
2.4%
Other values (4) 5
 
6.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)100.0%
Missing40
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean100.51125
Minimum0
Maximum300
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:15.305282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.3365
Q160.925
median89
Q3133.8625
95-th percentile232.1785
Maximum300
Range300
Interquartile range (IQR)72.9375

Descriptive statistics

Standard deviation65.636864
Coefficient of variation (CV)0.65303002
Kurtosis1.30318
Mean100.51125
Median Absolute Deviation (MAD)40.16
Skewness1.0377385
Sum4020.45
Variance4308.1979
MonotonicityNot monotonic
2024-05-11T15:24:15.649897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
166.0 1
 
1.2%
95.7 1
 
1.2%
100.0 1
 
1.2%
79.8 1
 
1.2%
62.63 1
 
1.2%
196.77 1
 
1.2%
18.85 1
 
1.2%
115.0 1
 
1.2%
52.62 1
 
1.2%
92.46 1
 
1.2%
Other values (30) 30
37.5%
(Missing) 40
50.0%
ValueCountFrequency (%)
0.0 1
1.2%
8.58 1
1.2%
18.85 1
1.2%
19.8 1
1.2%
28.0 1
1.2%
30.0 1
1.2%
47.68 1
1.2%
50.0 1
1.2%
52.62 1
1.2%
57.85 1
1.2%
ValueCountFrequency (%)
300.0 1
1.2%
246.59 1
1.2%
231.42 1
1.2%
196.77 1
1.2%
168.37 1
1.2%
166.0 1
1.2%
149.75 1
1.2%
148.5 1
1.2%
140.26 1
1.2%
135.55 1
1.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)31.8%
Missing58
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean3.9545455
Minimum0
Maximum14
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T15:24:15.948554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3.5
Q34
95-th percentile13.55
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.5385937
Coefficient of variation (CV)0.89481679
Kurtosis4.9528117
Mean3.9545455
Median Absolute Deviation (MAD)1.5
Skewness2.211681
Sum87
Variance12.521645
MonotonicityNot monotonic
2024-05-11T15:24:16.188500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 6
 
7.5%
4 6
 
7.5%
5 3
 
3.8%
1 2
 
2.5%
3 2
 
2.5%
14 2
 
2.5%
0 1
 
1.2%
(Missing) 58
72.5%
ValueCountFrequency (%)
0 1
 
1.2%
1 2
 
2.5%
2 6
7.5%
3 2
 
2.5%
4 6
7.5%
5 3
3.8%
14 2
 
2.5%
ValueCountFrequency (%)
14 2
 
2.5%
5 3
3.8%
4 6
7.5%
3 2
 
2.5%
2 6
7.5%
1 2
 
2.5%
0 1
 
1.2%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
63 
1
14 
0
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.3625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
78.8%
1 14
 
17.5%
0 2
 
2.5%
2 1
 
1.2%

Length

2024-05-11T15:24:16.506752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:16.733905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
78.8%
1 14
 
17.5%
0 2
 
2.5%
2 1
 
1.2%

건물용도명
Categorical

Distinct7
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
57 
근린생활시설
13 
다세대주택
 
3
아파트
 
3
단독주택
 
2
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.3375
Min length3

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
71.2%
근린생활시설 13
 
16.2%
다세대주택 3
 
3.8%
아파트 3
 
3.8%
단독주택 2
 
2.5%
사무실 1
 
1.2%
교육연구시설 1
 
1.2%

Length

2024-05-11T15:24:17.009739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:17.378886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
71.2%
근린생활시설 13
 
16.2%
다세대주택 3
 
3.8%
아파트 3
 
3.8%
단독주택 2
 
2.5%
사무실 1
 
1.2%
교육연구시설 1
 
1.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
0
 
1

Length

Max length4
Median length4
Mean length3.9625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
0 1
 
1.2%

Length

2024-05-11T15:24:17.692188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:17.936308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
0 1
 
1.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
0
 
1

Length

Max length4
Median length4
Mean length3.9625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
0 1
 
1.2%

Length

2024-05-11T15:24:18.582838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:18.881031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
0 1
 
1.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
0
 
1

Length

Max length4
Median length4
Mean length3.9625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
0 1
 
1.2%

Length

2024-05-11T15:24:19.078324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:19.403264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
0 1
 
1.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
0
 
1

Length

Max length4
Median length4
Mean length3.9625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
0 1
 
1.2%

Length

2024-05-11T15:24:19.696394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:19.916925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
0 1
 
1.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
79 
0
 
1

Length

Max length4
Median length4
Mean length3.9625
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
98.8%
0 1
 
1.2%

Length

2024-05-11T15:24:20.157475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:20.393790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
98.8%
0 1
 
1.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
67 
일반주거지역
8 
준주거지역
 
4
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.275
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
83.8%
일반주거지역 8
 
10.0%
준주거지역 4
 
5.0%
일반상업지역 1
 
1.2%

Length

2024-05-11T15:24:20.634302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:24:20.883859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
83.8%
일반주거지역 8
 
10.0%
준주거지역 4
 
5.0%
일반상업지역 1
 
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF324106198100000119810626<NA>1영업/정상13영업중<NA><NA><NA><NA>031-915-6505<NA>122829서울특별시 은평구 녹번동 **-**번지 서부빌딩*층서울특별시 은평구 서오릉로 ** (녹번동,서부빌딩*층)<NA>(주)대성음반2006-02-09 14:28:45I2018-08-31 23:59:59.0<NA>193196.752501455935.975302음반.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>
13110000CDFF324106199300000119930720<NA>1영업/정상13영업중<NA><NA><NA><NA>383-2925~8<NA>122907서울특별시 은평구 응암동 **-*번지서울특별시 은평구 백련산로**길 * (응암동)<NA>아남레코드사2006-02-09 14:31:39I2018-08-31 23:59:59.0<NA>193506.397612455389.745519음반.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>
23110000CDFF324106199800000119980310<NA>1영업/정상13영업중<NA><NA><NA><NA>388-4119<NA>122912서울특별시 은평구 응암동 ***-**번지서울특별시 은평구 백련산로 *** (응암동)<NA>서일미디어2006-02-09 14:33:21I2018-08-31 23:59:59.0<NA>193468.357904455267.798599음반.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>
33110000CDFF324106199900000119990608<NA>1영업/정상13영업중<NA><NA><NA><NA>375-6564<NA>122882서울특별시 은평구 신사동 **-**번지<NA><NA>비너스뮤직2006-02-09 14:34:53I2018-08-31 23:59:59.0<NA><NA><NA>음반.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>
43110000CDFF324106199900000219990811<NA>3폐업3폐업20151116<NA><NA><NA>382-1545<NA>122899서울특별시 은평구 역촌동 **-*번지서울특별시 은평구 연서로 ** (역촌동)<NA>문화미디콤2015-11-17 10:20:31I2018-08-31 23:59:59.0<NA>192531.659667455496.016264음반.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>
53110000CDFF324106199900000319991011<NA>1영업/정상13영업중<NA><NA><NA><NA>359-1062<NA>122899서울특별시 은평구 역촌동 **-**번지서울특별시 은평구 연서로 **-* (역촌동)<NA>원레코드사2006-02-09 14:44:55I2018-08-31 23:59:59.0<NA>192561.006633455346.935184음반.음악영상물제작업유통관련업3<NA><NA>140.2621단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFF324106200000000120000520<NA>1영업/정상13영업중<NA><NA><NA><NA>353-5152<NA>122960서울특별시 은평구 갈현동 ***-**번지서울특별시 은평구 연서로**길 ** (갈현동)<NA>아일릿뮤직2006-02-09 15:05:02I2018-08-31 23:59:59.0<NA>192229.910051456837.290469음반.음악영상물제작업유통관련업5<NA><NA>132.5741근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFF324106200100000120010917<NA>1영업/정상13영업중<NA><NA><NA><NA>389-9763~4<NA>122810서울특별시 은평구 갈현동 ***-*번지 *층서울특별시 은평구 갈현로 *** (갈현동,*층)<NA>(주)로고스엔파토스2006-02-09 15:09:17I2018-08-31 23:59:59.0<NA>192614.219677458084.679952음반.음악영상물제작업유통관련업5<NA><NA>88.4141근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFF324106200100000220010820<NA>3폐업3폐업20090622<NA><NA><NA>376-3494<NA><NA>서울특별시 은평구 수색동 ***-**번지서울특별시 은평구 수색로**길 **-* (수색동)<NA>강촌기획2009-06-24 17:04:20I2018-08-31 23:59:59.0<NA>190667.735545453516.699551음반.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>
93110000CDFF324106200300000120030307<NA>1영업/정상13영업중<NA><NA><NA><NA>375-7063<NA>122951서울특별시 은평구 응암동 ***-**번지<NA><NA>THE POWER R&E2006-02-09 15:14:25I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업1<NA><NA>19.81<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
703110000CDFF324106202100000420210910<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-*서울특별시 은평구 갈현로**길 **-*, ***호 (역촌동)3415숨뮤직2021-10-21 09:31:33I2021-10-22 00:22:46.0<NA>192203.299717456041.819535음반.음악영상물제작업유통관련업0<NA>음반음악영상물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
713110000CDFF324106202200000120220610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-* 한양빌딩서울특별시 은평구 응암로 ***-*, 한양빌딩 지층 (응암동)3467(주)디핀칼즈레코즈2022-06-10 14:24:07I2021-12-05 23:04:00.0<NA>192687.121595454432.746575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723110000CDFF324106202200000220220622<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-**서울특별시 은평구 연서로*길 **, 지층 (역촌동)3406달려운2022-06-22 09:00:19I2021-12-05 22:04:00.0<NA>192703.554798455605.150799<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733110000CDFF324106202200000320220722<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 **-* *-*층 *동 *호서울특별시 은평구 통일로**길 *, *-*층 *동 *호 (대조동)3391모던보이 엔터테인먼트(주)2022-07-22 18:43:52I2021-12-06 22:04:00.0<NA>193402.553027456847.885474<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743110000CDFF32410620220000042022-08-08<NA>5제외/삭제/전출15전출2024-01-12<NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 *-*서울특별시 은평구 은평로 **, *층 (신사동)3423한국음악레이블산업협회2024-01-12 17:08:02U2023-11-30 23:04:00.0<NA>192166.132783455134.44071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753110000CDFF324106202200000520201029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-**서울특별시 은평구 응암로**길 **, 지층 *호 (응암동)3469주식회사 국설당2022-09-17 08:25:53U2021-12-08 23:09:00.0<NA>192880.784528454337.008659<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763110000CDFF324106202200000620220917<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-** 금강블루서울특별시 은평구 역말로 **, ***호 (역촌동, 금강블루)3402오디오스2022-09-17 09:09:03I2021-12-08 23:09:00.0<NA>192629.263324455951.324678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773110000CDFF324106202200000720221123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-764-3114<NA><NA>서울특별시 은평구 녹번동 **-*서울특별시 은평구 은평로 ***, *층 (녹번동)3382한국스마트협동조합2022-11-23 10:07:15I2021-10-31 22:05:00.0<NA>194197.238222455432.835558<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783110000CDFF324106202200000820221129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 ***-** 디엠씨 자이*단지서울특별시 은평구 수색로 ***-*, ***동 ***호 (증산동, 디엠씨 자이*단지)3504마젤란뮤직 주식회사2022-11-29 13:51:44I2021-11-02 00:01:00.0<NA>191058.008398452946.246734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793110000CDFF32410620240000012024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-**서울특별시 은평구 가좌로*나길 **, *층 (응암동)3481시나브로 스튜디오(SNBR Studio)2024-02-19 16:55:13I2023-12-01 22:01:00.0<NA>192787.346831453585.65096<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>