Overview

Dataset statistics

Number of variables56
Number of observations401
Missing cells11052
Missing cells (%)49.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory187.3 KiB
Average record size in memory478.3 B

Variable types

Categorical14
Text5
DateTime6
Unsupported15
Numeric10
Boolean6

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17254/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
주변환경명 is highly imbalanced (71.1%)Imbalance
건물용도명 is highly imbalanced (68.7%)Imbalance
통로너비 is highly imbalanced (86.7%)Imbalance
조명시설조도 is highly imbalanced (84.5%)Imbalance
비상계단여부 is highly imbalanced (66.4%)Imbalance
비상구여부 is highly imbalanced (50.6%)Imbalance
자동환기여부 is highly imbalanced (90.7%)Imbalance
특수조명여부 is highly imbalanced (87.1%)Imbalance
방음시설여부 is highly imbalanced (83.9%)Imbalance
총게임기수 is highly imbalanced (84.5%)Imbalance
지역구분명 is highly imbalanced (74.0%)Imbalance
인허가취소일자 has 401 (100.0%) missing valuesMissing
폐업일자 has 112 (27.9%) missing valuesMissing
휴업시작일자 has 400 (99.8%) missing valuesMissing
휴업종료일자 has 400 (99.8%) missing valuesMissing
재개업일자 has 401 (100.0%) missing valuesMissing
전화번호 has 356 (88.8%) missing valuesMissing
소재지면적 has 401 (100.0%) missing valuesMissing
소재지우편번호 has 251 (62.6%) missing valuesMissing
도로명주소 has 35 (8.7%) missing valuesMissing
도로명우편번호 has 325 (81.0%) missing valuesMissing
업태구분명 has 401 (100.0%) missing valuesMissing
좌표정보(X) has 26 (6.5%) missing valuesMissing
좌표정보(Y) has 26 (6.5%) missing valuesMissing
총층수 has 288 (71.8%) missing valuesMissing
제작취급품목내용 has 401 (100.0%) missing valuesMissing
시설면적 has 233 (58.1%) missing valuesMissing
지상층수 has 289 (72.1%) missing valuesMissing
지하층수 has 288 (71.8%) missing valuesMissing
노래방실수 has 292 (72.8%) missing valuesMissing
청소년실수 has 352 (87.8%) missing valuesMissing
비상계단여부 has 224 (55.9%) missing valuesMissing
비상구여부 has 216 (53.9%) missing valuesMissing
자동환기여부 has 233 (58.1%) missing valuesMissing
청소년실여부 has 227 (56.6%) missing valuesMissing
특수조명여부 has 233 (58.1%) missing valuesMissing
방음시설여부 has 231 (57.6%) missing valuesMissing
비디오재생기명 has 401 (100.0%) missing valuesMissing
조명시설유무 has 401 (100.0%) missing valuesMissing
음향시설여부 has 401 (100.0%) missing valuesMissing
편의시설여부 has 401 (100.0%) missing valuesMissing
소방시설여부 has 401 (100.0%) missing valuesMissing
기존게임업외업종명 has 401 (100.0%) missing valuesMissing
제공게임물명 has 401 (100.0%) missing valuesMissing
공연장형태구분명 has 401 (100.0%) missing valuesMissing
품목명 has 401 (100.0%) missing valuesMissing
최초등록시점 has 401 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
제작취급품목내용 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 71 (17.7%) zerosZeros
시설면적 has 87 (21.7%) zerosZeros
지상층수 has 72 (18.0%) zerosZeros
지하층수 has 70 (17.5%) zerosZeros
청소년실수 has 8 (2.0%) zerosZeros

Reproduction

Analysis started2024-05-11 05:40:14.369665
Analysis finished2024-05-11 05:40:15.600764
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3120000
401 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 401
100.0%

Length

2024-05-11T14:40:15.717126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:15.877308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 401
100.0%

관리번호
Text

UNIQUE 

Distinct401
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T14:40:16.153590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8020
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

Unique401 ?
Unique (%)100.0%

Sample

1st rowCDFF3242051992000001
2nd rowCDFF3242051992000002
3rd rowCDFF3242051992000003
4th rowCDFF3242051992000004
5th rowCDFF3242051992000005
ValueCountFrequency (%)
cdff3242051992000001 1
 
0.2%
cdff3242052002000054 1
 
0.2%
cdff3242052002000065 1
 
0.2%
cdff3242052002000064 1
 
0.2%
cdff3242052002000063 1
 
0.2%
cdff3242052002000062 1
 
0.2%
cdff3242052002000061 1
 
0.2%
cdff3242052002000060 1
 
0.2%
cdff3242052002000059 1
 
0.2%
cdff3242052002000058 1
 
0.2%
Other values (391) 391
97.5%
2024-05-11T14:40:16.696012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2675
33.4%
2 1252
15.6%
F 802
 
10.0%
3 509
 
6.3%
4 501
 
6.2%
5 485
 
6.0%
C 401
 
5.0%
D 401
 
5.0%
1 401
 
5.0%
9 385
 
4.8%
Other values (3) 208
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6416
80.0%
Uppercase Letter 1604
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2675
41.7%
2 1252
19.5%
3 509
 
7.9%
4 501
 
7.8%
5 485
 
7.6%
1 401
 
6.2%
9 385
 
6.0%
6 72
 
1.1%
7 69
 
1.1%
8 67
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 802
50.0%
C 401
25.0%
D 401
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6416
80.0%
Latin 1604
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2675
41.7%
2 1252
19.5%
3 509
 
7.9%
4 501
 
7.8%
5 485
 
7.6%
1 401
 
6.2%
9 385
 
6.0%
6 72
 
1.1%
7 69
 
1.1%
8 67
 
1.0%
Latin
ValueCountFrequency (%)
F 802
50.0%
C 401
25.0%
D 401
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2675
33.4%
2 1252
15.6%
F 802
 
10.0%
3 509
 
6.3%
4 501
 
6.2%
5 485
 
6.0%
C 401
 
5.0%
D 401
 
5.0%
1 401
 
5.0%
9 385
 
4.8%
Other values (3) 208
 
2.6%

인허가일자
Date

Distinct339
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1992-05-30 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T14:40:16.955974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:17.200882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
243 
1
107 
4
50 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 243
60.6%
1 107
26.7%
4 50
 
12.5%
2 1
 
0.2%

Length

2024-05-11T14:40:17.444710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:17.657779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 243
60.6%
1 107
26.7%
4 50
 
12.5%
2 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
243 
영업/정상
107 
취소/말소/만료/정지/중지
50 
휴업
 
1

Length

Max length14
Median length2
Mean length4.2967581
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 243
60.6%
영업/정상 107
26.7%
취소/말소/만료/정지/중지 50
 
12.5%
휴업 1
 
0.2%

Length

2024-05-11T14:40:17.917201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:18.129000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 243
60.6%
영업/정상 107
26.7%
취소/말소/만료/정지/중지 50
 
12.5%
휴업 1
 
0.2%

상세영업상태코드
Categorical

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
03
242 
13
99 
35
47 
BBBB
 
8
31
 
2
Other values (3)
 
3

Length

Max length4
Median length2
Mean length2.0399002
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row03
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 242
60.3%
13 99
24.7%
35 47
 
11.7%
BBBB 8
 
2.0%
31 2
 
0.5%
34 1
 
0.2%
25 1
 
0.2%
02 1
 
0.2%

Length

2024-05-11T14:40:18.327733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:18.547998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 242
60.3%
13 99
24.7%
35 47
 
11.7%
bbbb 8
 
2.0%
31 2
 
0.5%
34 1
 
0.2%
25 1
 
0.2%
02 1
 
0.2%

상세영업상태명
Categorical

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
242 
영업중
99 
직권말소
47 
<NA>
 
8
등록취소
 
2
Other values (3)
 
3

Length

Max length5
Median length2
Mean length2.5436409
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 242
60.3%
영업중 99
24.7%
직권말소 47
 
11.7%
<NA> 8
 
2.0%
등록취소 2
 
0.5%
영업장폐쇄 1
 
0.2%
영업정지 1
 
0.2%
휴업 1
 
0.2%

Length

2024-05-11T14:40:18.781627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:18.981598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 242
60.3%
영업중 99
24.7%
직권말소 47
 
11.7%
na 8
 
2.0%
등록취소 2
 
0.5%
영업장폐쇄 1
 
0.2%
영업정지 1
 
0.2%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct219
Distinct (%)75.8%
Missing112
Missing (%)27.9%
Memory size3.3 KiB
Minimum1998-06-18 00:00:00
Maximum2024-02-08 00:00:00
2024-05-11T14:40:19.191965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:19.459534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing400
Missing (%)99.8%
Memory size3.3 KiB
Minimum2020-06-29 00:00:00
Maximum2020-06-29 00:00:00
2024-05-11T14:40:19.749815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:19.913824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing400
Missing (%)99.8%
Memory size3.3 KiB
Minimum2024-06-28 00:00:00
Maximum2024-06-28 00:00:00
2024-05-11T14:40:20.091644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:20.247115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

전화번호
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing356
Missing (%)88.8%
Memory size3.3 KiB
2024-05-11T14:40:20.587688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.2444444
Min length7

Characters and Unicode

Total characters371
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

Unique42 ?
Unique (%)93.3%

Sample

1st row363-2795
2nd row023956887
3rd row023091039
4th row7348863
5th row3728038
ValueCountFrequency (%)
393-5533 3
 
6.7%
322-9449 1
 
2.2%
373-4642 1
 
2.2%
31413111 1
 
2.2%
3923883 1
 
2.2%
023748881 1
 
2.2%
3057357 1
 
2.2%
3760990 1
 
2.2%
3633306 1
 
2.2%
3331622 1
 
2.2%
Other values (33) 33
73.3%
2024-05-11T14:40:21.152579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 86
23.2%
2 43
11.6%
0 39
10.5%
6 29
 
7.8%
- 28
 
7.5%
7 28
 
7.5%
9 27
 
7.3%
8 25
 
6.7%
5 23
 
6.2%
4 23
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
92.5%
Dash Punctuation 28
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 86
25.1%
2 43
12.5%
0 39
11.4%
6 29
 
8.5%
7 28
 
8.2%
9 27
 
7.9%
8 25
 
7.3%
5 23
 
6.7%
4 23
 
6.7%
1 20
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 86
23.2%
2 43
11.6%
0 39
10.5%
6 29
 
7.8%
- 28
 
7.5%
7 28
 
7.5%
9 27
 
7.3%
8 25
 
6.7%
5 23
 
6.2%
4 23
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 86
23.2%
2 43
11.6%
0 39
10.5%
6 29
 
7.8%
- 28
 
7.5%
7 28
 
7.5%
9 27
 
7.3%
8 25
 
6.7%
5 23
 
6.2%
4 23
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)25.3%
Missing251
Missing (%)62.6%
Infinite0
Infinite (%)0.0%
Mean120789.76
Minimum120020
Maximum120859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:21.444294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120020
5-th percentile120791.1
Q1120808
median120833
Q3120834
95-th percentile120841.55
Maximum120859
Range839
Interquartile range (IQR)26

Descriptive statistics

Standard deviation158.49657
Coefficient of variation (CV)0.0013121689
Kurtosis17.097929
Mean120789.76
Median Absolute Deviation (MAD)8
Skewness-4.3134354
Sum18118464
Variance25121.163
MonotonicityNot monotonic
2024-05-11T14:40:21.668357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
120834 46
 
11.5%
120833 18
 
4.5%
120808 14
 
3.5%
120809 10
 
2.5%
120805 7
 
1.7%
120807 6
 
1.5%
120806 4
 
1.0%
120825 4
 
1.0%
120802 4
 
1.0%
120841 3
 
0.7%
Other values (28) 34
 
8.5%
(Missing) 251
62.6%
ValueCountFrequency (%)
120020 2
 
0.5%
120070 1
 
0.2%
120090 1
 
0.2%
120100 2
 
0.5%
120160 1
 
0.2%
120783 1
 
0.2%
120801 1
 
0.2%
120802 4
1.0%
120805 7
1.7%
120806 4
1.0%
ValueCountFrequency (%)
120859 1
 
0.2%
120856 1
 
0.2%
120854 1
 
0.2%
120848 2
0.5%
120847 2
0.5%
120842 1
 
0.2%
120841 3
0.7%
120840 1
 
0.2%
120838 1
 
0.2%
120837 1
 
0.2%

지번주소
Text

Distinct386
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T14:40:22.317914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length24.314214
Min length18

Characters and Unicode

Total characters9750
Distinct characters89
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

Unique372 ?
Unique (%)92.8%

Sample

1st row서울특별시 서대문구 대현동 37-10번지
2nd row서울특별시 서대문구 북아현동 220-36번지
3rd row서울특별시 서대문구 대현동 27-4번지
4th row서울특별시 서대문구 창천동 52-48번지 (2,3층)
5th row서울특별시 서대문구 창천동 30-9번지
ValueCountFrequency (%)
서울특별시 401
22.3%
서대문구 401
22.3%
창천동 143
 
8.0%
지층 79
 
4.4%
남가좌동 69
 
3.8%
홍제동 43
 
2.4%
대현동 36
 
2.0%
2층 33
 
1.8%
북가좌동 25
 
1.4%
홍은동 22
 
1.2%
Other values (425) 545
30.3%
2024-05-11T14:40:23.343583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1706
17.5%
서 803
 
8.2%
대 442
 
4.5%
시 403
 
4.1%
구 401
 
4.1%
문 401
 
4.1%
울 401
 
4.1%
별 401
 
4.1%
특 401
 
4.1%
동 399
 
4.1%
Other values (79) 3992
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5815
59.6%
Decimal Number 1799
 
18.5%
Space Separator 1706
 
17.5%
Dash Punctuation 388
 
4.0%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Other Punctuation 11
 
0.1%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 803
13.8%
대 442
 
7.6%
시 403
 
6.9%
구 401
 
6.9%
문 401
 
6.9%
울 401
 
6.9%
별 401
 
6.9%
특 401
 
6.9%
동 399
 
6.9%
지 356
 
6.1%
Other values (58) 1407
24.2%
Decimal Number
ValueCountFrequency (%)
2 333
18.5%
3 322
17.9%
1 300
16.7%
5 184
10.2%
4 147
8.2%
7 131
 
7.3%
9 110
 
6.1%
0 105
 
5.8%
6 92
 
5.1%
8 75
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
d 1
20.0%
m 1
20.0%
c 1
20.0%
l 1
20.0%
w 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
? 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5815
59.6%
Common 3930
40.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 803
13.8%
대 442
 
7.6%
시 403
 
6.9%
구 401
 
6.9%
문 401
 
6.9%
울 401
 
6.9%
별 401
 
6.9%
특 401
 
6.9%
동 399
 
6.9%
지 356
 
6.1%
Other values (58) 1407
24.2%
Common
ValueCountFrequency (%)
1706
43.4%
- 388
 
9.9%
2 333
 
8.5%
3 322
 
8.2%
1 300
 
7.6%
5 184
 
4.7%
4 147
 
3.7%
7 131
 
3.3%
9 110
 
2.8%
0 105
 
2.7%
Other values (6) 204
 
5.2%
Latin
ValueCountFrequency (%)
d 1
20.0%
m 1
20.0%
c 1
20.0%
l 1
20.0%
w 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5815
59.6%
ASCII 3935
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1706
43.4%
- 388
 
9.9%
2 333
 
8.5%
3 322
 
8.2%
1 300
 
7.6%
5 184
 
4.7%
4 147
 
3.7%
7 131
 
3.3%
9 110
 
2.8%
0 105
 
2.7%
Other values (11) 209
 
5.3%
Hangul
ValueCountFrequency (%)
서 803
13.8%
대 442
 
7.6%
시 403
 
6.9%
구 401
 
6.9%
문 401
 
6.9%
울 401
 
6.9%
별 401
 
6.9%
특 401
 
6.9%
동 399
 
6.9%
지 356
 
6.1%
Other values (58) 1407
24.2%

도로명주소
Text

MISSING 

Distinct355
Distinct (%)97.0%
Missing35
Missing (%)8.7%
Memory size3.3 KiB
2024-05-11T14:40:23.790887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length27.636612
Min length23

Characters and Unicode

Total characters10115
Distinct characters123
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

Unique344 ?
Unique (%)94.0%

Sample

1st row서울특별시 서대문구 이화여대7길 37 (대현동)
2nd row서울특별시 서대문구 신촌로 241 (북아현동)
3rd row서울특별시 서대문구 이화여대길 87 (대현동)
4th row서울특별시 서대문구 연세로7안길 5 (창천동,(2,3층))
5th row서울특별시 서대문구 명물길 27 (창천동)
ValueCountFrequency (%)
서울특별시 366
19.2%
서대문구 366
19.2%
창천동 99
 
5.2%
통일로 37
 
1.9%
남가좌동 37
 
1.9%
홍제동 29
 
1.5%
대현동 28
 
1.5%
명물길 23
 
1.2%
거북골로 23
 
1.2%
지층 22
 
1.2%
Other values (328) 872
45.8%
2024-05-11T14:40:24.566339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1705
 
16.9%
서 734
 
7.3%
대 433
 
4.3%
) 376
 
3.7%
( 376
 
3.7%
울 369
 
3.6%
시 368
 
3.6%
문 367
 
3.6%
구 366
 
3.6%
별 366
 
3.6%
Other values (113) 4655
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6268
62.0%
Space Separator 1705
 
16.9%
Decimal Number 1144
 
11.3%
Close Punctuation 376
 
3.7%
Open Punctuation 376
 
3.7%
Other Punctuation 179
 
1.8%
Dash Punctuation 62
 
0.6%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 734
 
11.7%
대 433
 
6.9%
울 369
 
5.9%
시 368
 
5.9%
문 367
 
5.9%
구 366
 
5.8%
별 366
 
5.8%
특 366
 
5.8%
동 359
 
5.7%
로 324
 
5.2%
Other values (92) 2216
35.4%
Decimal Number
ValueCountFrequency (%)
1 251
21.9%
2 199
17.4%
3 138
12.1%
7 107
9.4%
4 92
 
8.0%
5 88
 
7.7%
0 71
 
6.2%
6 68
 
5.9%
9 66
 
5.8%
8 64
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
w 1
20.0%
l 1
20.0%
m 1
20.0%
d 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 178
99.4%
? 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1705
100.0%
Close Punctuation
ValueCountFrequency (%)
) 376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6268
62.0%
Common 3842
38.0%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 734
 
11.7%
대 433
 
6.9%
울 369
 
5.9%
시 368
 
5.9%
문 367
 
5.9%
구 366
 
5.8%
별 366
 
5.8%
특 366
 
5.8%
동 359
 
5.7%
로 324
 
5.2%
Other values (92) 2216
35.4%
Common
ValueCountFrequency (%)
1705
44.4%
) 376
 
9.8%
( 376
 
9.8%
1 251
 
6.5%
2 199
 
5.2%
, 178
 
4.6%
3 138
 
3.6%
7 107
 
2.8%
4 92
 
2.4%
5 88
 
2.3%
Other values (6) 332
 
8.6%
Latin
ValueCountFrequency (%)
c 1
20.0%
w 1
20.0%
l 1
20.0%
m 1
20.0%
d 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6268
62.0%
ASCII 3847
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1705
44.3%
) 376
 
9.8%
( 376
 
9.8%
1 251
 
6.5%
2 199
 
5.2%
, 178
 
4.6%
3 138
 
3.6%
7 107
 
2.8%
4 92
 
2.4%
5 88
 
2.3%
Other values (11) 337
 
8.8%
Hangul
ValueCountFrequency (%)
서 734
 
11.7%
대 433
 
6.9%
울 369
 
5.9%
시 368
 
5.9%
문 367
 
5.9%
구 366
 
5.8%
별 366
 
5.8%
특 366
 
5.8%
동 359
 
5.7%
로 324
 
5.2%
Other values (92) 2216
35.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)47.4%
Missing325
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean5256.9605
Minimum3622
Maximum120853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:24.862873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3622
5-th percentile3630
Q13665
median3716
Q33776.25
95-th percentile3789
Maximum120853
Range117231
Interquartile range (IQR)111.25

Descriptive statistics

Standard deviation13436.695
Coefficient of variation (CV)2.5559818
Kurtosis75.997102
Mean5256.9605
Median Absolute Deviation (MAD)56
Skewness8.7175518
Sum399529
Variance1.8054478 × 108
MonotonicityNot monotonic
2024-05-11T14:40:25.058022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3665 9
 
2.2%
3777 6
 
1.5%
3788 5
 
1.2%
3776 4
 
1.0%
3766 4
 
1.0%
3630 4
 
1.0%
3789 4
 
1.0%
3735 3
 
0.7%
3734 3
 
0.7%
3765 2
 
0.5%
Other values (26) 32
 
8.0%
(Missing) 325
81.0%
ValueCountFrequency (%)
3622 1
 
0.2%
3629 1
 
0.2%
3630 4
1.0%
3635 1
 
0.2%
3636 2
 
0.5%
3639 2
 
0.5%
3646 2
 
0.5%
3658 1
 
0.2%
3662 1
 
0.2%
3665 9
2.2%
ValueCountFrequency (%)
120853 1
 
0.2%
3789 4
1.0%
3788 5
1.2%
3787 1
 
0.2%
3785 1
 
0.2%
3778 1
 
0.2%
3777 6
1.5%
3776 4
1.0%
3775 1
 
0.2%
3766 4
1.0%

사업장명
Text

Distinct357
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-05-11T14:40:25.529895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.8952618
Min length1

Characters and Unicode

Total characters2765
Distinct characters331
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)80.3%

Sample

1st row큐
2nd row육교
3rd row특실노래방
4th row새터
5th row아리랑
ValueCountFrequency (%)
노래연습장 62
 
11.9%
코인노래연습장 21
 
4.0%
노래방 9
 
1.7%
팡팡노래연습장 6
 
1.1%
리코스타 5
 
1.0%
스타 4
 
0.8%
신촌 4
 
0.8%
코인 4
 
0.8%
스타노래연습장 4
 
0.8%
무지개 3
 
0.6%
Other values (348) 401
76.7%
2024-05-11T14:40:26.280098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 313
 
11.3%
노 311
 
11.2%
연 267
 
9.7%
습 260
 
9.4%
장 258
 
9.3%
122
 
4.4%
스 50
 
1.8%
코 48
 
1.7%
방 44
 
1.6%
리 37
 
1.3%
Other values (321) 1055
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2521
91.2%
Space Separator 122
 
4.4%
Uppercase Letter 63
 
2.3%
Decimal Number 31
 
1.1%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Lowercase Letter 6
 
0.2%
Other Punctuation 5
 
0.2%
Letter Number 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 313
 
12.4%
노 311
 
12.3%
연 267
 
10.6%
습 260
 
10.3%
장 258
 
10.2%
스 50
 
2.0%
코 48
 
1.9%
방 44
 
1.7%
리 37
 
1.5%
인 35
 
1.4%
Other values (280) 898
35.6%
Uppercase Letter
ValueCountFrequency (%)
S 10
15.9%
B 6
 
9.5%
O 5
 
7.9%
T 5
 
7.9%
E 4
 
6.3%
C 4
 
6.3%
M 4
 
6.3%
K 4
 
6.3%
I 3
 
4.8%
P 3
 
4.8%
Other values (9) 15
23.8%
Decimal Number
ValueCountFrequency (%)
2 12
38.7%
1 6
19.4%
3 4
 
12.9%
4 3
 
9.7%
0 2
 
6.5%
9 2
 
6.5%
5 1
 
3.2%
7 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
! 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
k 2
33.3%
s 2
33.3%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2521
91.2%
Common 172
 
6.2%
Latin 72
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 313
 
12.4%
노 311
 
12.3%
연 267
 
10.6%
습 260
 
10.3%
장 258
 
10.2%
스 50
 
2.0%
코 48
 
1.9%
방 44
 
1.7%
리 37
 
1.5%
인 35
 
1.4%
Other values (280) 898
35.6%
Latin
ValueCountFrequency (%)
S 10
13.9%
B 6
 
8.3%
O 5
 
6.9%
T 5
 
6.9%
E 4
 
5.6%
C 4
 
5.6%
M 4
 
5.6%
K 4
 
5.6%
I 3
 
4.2%
P 3
 
4.2%
Other values (15) 24
33.3%
Common
ValueCountFrequency (%)
122
70.9%
2 12
 
7.0%
) 6
 
3.5%
( 6
 
3.5%
1 6
 
3.5%
3 4
 
2.3%
4 3
 
1.7%
. 3
 
1.7%
0 2
 
1.2%
9 2
 
1.2%
Other values (6) 6
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2521
91.2%
ASCII 241
 
8.7%
Number Forms 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 313
 
12.4%
노 311
 
12.3%
연 267
 
10.6%
습 260
 
10.3%
장 258
 
10.2%
스 50
 
2.0%
코 48
 
1.9%
방 44
 
1.7%
리 37
 
1.5%
인 35
 
1.4%
Other values (280) 898
35.6%
ASCII
ValueCountFrequency (%)
122
50.6%
2 12
 
5.0%
S 10
 
4.1%
B 6
 
2.5%
) 6
 
2.5%
( 6
 
2.5%
1 6
 
2.5%
O 5
 
2.1%
T 5
 
2.1%
E 4
 
1.7%
Other values (28) 59
24.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
33.3%
Ⅱ 1
33.3%
Ⅰ 1
33.3%

최종수정일자
Date

Distinct379
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2003-02-07 11:05:59
Maximum2024-05-09 16:33:35
2024-05-11T14:40:26.592593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:26.937932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
231 
U
170 

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 231
57.6%
U 170
42.4%

Length

2024-05-11T14:40:27.163768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:27.343916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 231
57.6%
u 170
42.4%

데이터갱신일자
Date

Distinct97
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T14:40:27.521077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:27.734017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct317
Distinct (%)84.5%
Missing26
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean194362.95
Minimum191559.92
Maximum197121.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:28.274856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191559.92
5-th percentile192290.73
Q1193766.32
median194324.66
Q3194968
95-th percentile196560.38
Maximum197121.04
Range5561.1234
Interquartile range (IQR)1201.6801

Descriptive statistics

Standard deviation1117.7222
Coefficient of variation (CV)0.0057506957
Kurtosis0.17030062
Mean194362.95
Median Absolute Deviation (MAD)631.18475
Skewness0.11626405
Sum72886107
Variance1249302.9
MonotonicityNot monotonic
2024-05-11T14:40:28.492535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194289.472597058 4
 
1.0%
197014.335044529 3
 
0.7%
194480.626087566 3
 
0.7%
196397.177252931 3
 
0.7%
194301.973876283 3
 
0.7%
194435.406385144 3
 
0.7%
194377.182402612 3
 
0.7%
194751.684140952 2
 
0.5%
194165.443289303 2
 
0.5%
194200.370251421 2
 
0.5%
Other values (307) 347
86.5%
(Missing) 26
 
6.5%
ValueCountFrequency (%)
191559.918118738 1
0.2%
192079.366557621 1
0.2%
192093.826430125 1
0.2%
192104.845054009 2
0.5%
192110.634545006 1
0.2%
192116.257626187 1
0.2%
192128.145941391 1
0.2%
192140.461144958 1
0.2%
192148.864063461 1
0.2%
192150.038113118 1
0.2%
ValueCountFrequency (%)
197121.041523674 1
 
0.2%
197037.539093025 1
 
0.2%
197028.785113745 1
 
0.2%
197014.335044529 3
0.7%
196912.713362244 2
0.5%
196897.960260953 1
 
0.2%
196892.379499197 1
 
0.2%
196889.992166193 1
 
0.2%
196794.572693354 1
 
0.2%
196761.782687654 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct317
Distinct (%)84.5%
Missing26
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean451791.51
Minimum450384.58
Maximum455250.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:28.708047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450384.58
5-th percentile450487.59
Q1450622.78
median451046.69
Q3452999.51
95-th percentile454277.33
Maximum455250.96
Range4866.3892
Interquartile range (IQR)2376.736

Descriptive statistics

Standard deviation1381.5164
Coefficient of variation (CV)0.0030578628
Kurtosis-0.75642776
Mean451791.51
Median Absolute Deviation (MAD)519.70642
Skewness0.75724886
Sum1.6942181 × 108
Variance1908587.7
MonotonicityNot monotonic
2024-05-11T14:40:28.943772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450587.886581568 4
 
1.0%
451350.816061752 3
 
0.7%
450605.650872152 3
 
0.7%
451341.298392822 3
 
0.7%
450755.5965912 3
 
0.7%
450570.993352161 3
 
0.7%
450586.947082232 3
 
0.7%
450552.13574851 2
 
0.5%
450735.343430015 2
 
0.5%
450435.705294809 2
 
0.5%
Other values (307) 347
86.5%
(Missing) 26
 
6.5%
ValueCountFrequency (%)
450384.575342365 1
0.2%
450400.49762862 1
0.2%
450404.173010287 1
0.2%
450419.039009871 1
0.2%
450430.238336454 1
0.2%
450430.870126098 1
0.2%
450433.131859398 1
0.2%
450435.705294809 2
0.5%
450440.950636088 1
0.2%
450448.503514873 1
0.2%
ValueCountFrequency (%)
455250.964502089 1
0.2%
455231.289625001 1
0.2%
455220.88305506 1
0.2%
455203.422749202 1
0.2%
455185.672331623 1
0.2%
455150.485492924 1
0.2%
455089.36266963 2
0.5%
454959.600760468 1
0.2%
454829.596860745 1
0.2%
454668.432532085 1
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
노래연습장업
317 
<NA>
84 

Length

Max length6
Median length6
Mean length5.5810474
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 317
79.1%
<NA> 84
 
20.9%

Length

2024-05-11T14:40:29.180679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:29.384991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 317
79.1%
na 84
 
20.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
유통관련업
317 
<NA>
84 

Length

Max length5
Median length5
Mean length4.7905237
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 317
79.1%
<NA> 84
 
20.9%

Length

2024-05-11T14:40:29.562652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:29.722340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 317
79.1%
na 84
 
20.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)11.5%
Missing288
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean2.3451327
Minimum0
Maximum18
Zeros71
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:29.864488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10.4
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6025039
Coefficient of variation (CV)1.536162
Kurtosis2.8602975
Mean2.3451327
Median Absolute Deviation (MAD)0
Skewness1.6551035
Sum265
Variance12.978034
MonotonicityNot monotonic
2024-05-11T14:40:30.025277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 71
 
17.7%
5 10
 
2.5%
4 10
 
2.5%
6 8
 
2.0%
7 3
 
0.7%
11 3
 
0.7%
12 2
 
0.5%
18 1
 
0.2%
3 1
 
0.2%
1 1
 
0.2%
Other values (3) 3
 
0.7%
(Missing) 288
71.8%
ValueCountFrequency (%)
0 71
17.7%
1 1
 
0.2%
3 1
 
0.2%
4 10
 
2.5%
5 10
 
2.5%
6 8
 
2.0%
7 3
 
0.7%
8 1
 
0.2%
9 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
18 1
 
0.2%
12 2
 
0.5%
11 3
 
0.7%
10 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
7 3
 
0.7%
6 8
2.0%
5 10
2.5%
4 10
2.5%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
357 
학교정화(상대)
 
19
기타
 
19
유흥업소밀집지역
 
4
주택가주변
 
2

Length

Max length8
Median length4
Mean length4.1396509
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 357
89.0%
학교정화(상대) 19
 
4.7%
기타 19
 
4.7%
유흥업소밀집지역 4
 
1.0%
주택가주변 2
 
0.5%

Length

2024-05-11T14:40:30.202743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:30.363695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 357
89.0%
학교정화(상대 19
 
4.7%
기타 19
 
4.7%
유흥업소밀집지역 4
 
1.0%
주택가주변 2
 
0.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)45.2%
Missing233
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean76.523929
Minimum0
Maximum512.97
Zeros87
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:30.574416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3127.81
95-th percentile263.222
Maximum512.97
Range512.97
Interquartile range (IQR)127.81

Descriptive statistics

Standard deviation98.783399
Coefficient of variation (CV)1.2908825
Kurtosis2.2701256
Mean76.523929
Median Absolute Deviation (MAD)0
Skewness1.4280974
Sum12856.02
Variance9758.16
MonotonicityNot monotonic
2024-05-11T14:40:30.783382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 87
 
21.7%
186.2 2
 
0.5%
103.14 2
 
0.5%
189.1 2
 
0.5%
354.6 2
 
0.5%
276.75 2
 
0.5%
253.55 2
 
0.5%
236.73 1
 
0.2%
105.3 1
 
0.2%
141.49 1
 
0.2%
Other values (66) 66
 
16.5%
(Missing) 233
58.1%
ValueCountFrequency (%)
0.0 87
21.7%
59.5 1
 
0.2%
66.0 1
 
0.2%
66.12 1
 
0.2%
73.71 1
 
0.2%
74.34 1
 
0.2%
74.71 1
 
0.2%
78.0 1
 
0.2%
79.59 1
 
0.2%
82.26 1
 
0.2%
ValueCountFrequency (%)
512.97 1
0.2%
407.56 1
0.2%
354.6 2
0.5%
336.16 1
0.2%
289.3 1
0.2%
276.75 2
0.5%
268.43 1
0.2%
253.55 2
0.5%
237.99 1
0.2%
236.73 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)10.7%
Missing289
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean1.8125
Minimum0
Maximum14
Zeros72
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:30.928476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile8
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8806007
Coefficient of variation (CV)1.5892969
Kurtosis2.8304504
Mean1.8125
Median Absolute Deviation (MAD)0
Skewness1.7015033
Sum203
Variance8.2978604
MonotonicityNot monotonic
2024-05-11T14:40:31.101186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 72
 
18.0%
4 10
 
2.5%
3 9
 
2.2%
5 8
 
2.0%
6 3
 
0.7%
9 2
 
0.5%
10 2
 
0.5%
8 2
 
0.5%
14 1
 
0.2%
1 1
 
0.2%
Other values (2) 2
 
0.5%
(Missing) 289
72.1%
ValueCountFrequency (%)
0 72
18.0%
1 1
 
0.2%
2 1
 
0.2%
3 9
 
2.2%
4 10
 
2.5%
5 8
 
2.0%
6 3
 
0.7%
7 1
 
0.2%
8 2
 
0.5%
9 2
 
0.5%
ValueCountFrequency (%)
14 1
 
0.2%
10 2
 
0.5%
9 2
 
0.5%
8 2
 
0.5%
7 1
 
0.2%
6 3
 
0.7%
5 8
2.0%
4 10
2.5%
3 9
2.2%
2 1
 
0.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)5.3%
Missing288
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean0.54867257
Minimum0
Maximum9
Zeros70
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:31.319775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0772912
Coefficient of variation (CV)1.96345
Kurtosis34.082577
Mean0.54867257
Median Absolute Deviation (MAD)0
Skewness4.8664508
Sum62
Variance1.1605563
MonotonicityNot monotonic
2024-05-11T14:40:31.506161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 70
 
17.5%
1 34
 
8.5%
2 6
 
1.5%
4 1
 
0.2%
3 1
 
0.2%
9 1
 
0.2%
(Missing) 288
71.8%
ValueCountFrequency (%)
0 70
17.5%
1 34
8.5%
2 6
 
1.5%
3 1
 
0.2%
4 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
2 6
 
1.5%
1 34
8.5%
0 70
17.5%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
344 
근린생활시설
55 
사무실
 
1
기타
 
1

Length

Max length6
Median length4
Mean length4.2668329
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 344
85.8%
근린생활시설 55
 
13.7%
사무실 1
 
0.2%
기타 1
 
0.2%

Length

2024-05-11T14:40:31.769027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:31.934727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 344
85.8%
근린생활시설 55
 
13.7%
사무실 1
 
0.2%
기타 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
387 
0.0
 
8
1.2
 
4
1.5
 
2

Length

Max length4
Median length4
Mean length3.9650873
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 387
96.5%
0.0 8
 
2.0%
1.2 4
 
1.0%
1.5 2
 
0.5%

Length

2024-05-11T14:40:32.064519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:32.211780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 387
96.5%
0.0 8
 
2.0%
1.2 4
 
1.0%
1.5 2
 
0.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
392 
0
 
9

Length

Max length4
Median length4
Mean length3.9326683
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 392
97.8%
0 9
 
2.2%

Length

2024-05-11T14:40:32.332970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:32.442195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 392
97.8%
0 9
 
2.2%

노래방실수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)22.0%
Missing292
Missing (%)72.8%
Infinite0
Infinite (%)0.0%
Mean7.3853211
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:32.559800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q313
95-th percentile21.6
Maximum37
Range36
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.1535135
Coefficient of variation (CV)1.1040161
Kurtosis1.5123038
Mean7.3853211
Median Absolute Deviation (MAD)3
Skewness1.3239721
Sum805
Variance66.479783
MonotonicityNot monotonic
2024-05-11T14:40:32.681094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 52
 
13.0%
19 5
 
1.2%
6 5
 
1.2%
7 4
 
1.0%
9 4
 
1.0%
8 4
 
1.0%
5 4
 
1.0%
14 4
 
1.0%
16 4
 
1.0%
17 3
 
0.7%
Other values (14) 20
 
5.0%
(Missing) 292
72.8%
ValueCountFrequency (%)
1 52
13.0%
2 1
 
0.2%
4 2
 
0.5%
5 4
 
1.0%
6 5
 
1.2%
7 4
 
1.0%
8 4
 
1.0%
9 4
 
1.0%
11 3
 
0.7%
12 2
 
0.5%
ValueCountFrequency (%)
37 1
 
0.2%
36 1
 
0.2%
27 1
 
0.2%
23 1
 
0.2%
22 2
 
0.5%
21 1
 
0.2%
20 2
 
0.5%
19 5
1.2%
18 1
 
0.2%
17 3
0.7%

청소년실수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)40.8%
Missing352
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean10.428571
Minimum0
Maximum36
Zeros8
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-05-11T14:40:32.814105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q318
95-th percentile22.6
Maximum36
Range36
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.0369611
Coefficient of variation (CV)0.86655792
Kurtosis-0.47447072
Mean10.428571
Median Absolute Deviation (MAD)8
Skewness0.51134984
Sum511
Variance81.666667
MonotonicityNot monotonic
2024-05-11T14:40:32.940846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 8
 
2.0%
19 5
 
1.2%
16 4
 
1.0%
2 4
 
1.0%
1 3
 
0.7%
3 3
 
0.7%
14 3
 
0.7%
7 2
 
0.5%
20 2
 
0.5%
5 2
 
0.5%
Other values (10) 13
 
3.2%
(Missing) 352
87.8%
ValueCountFrequency (%)
0 8
2.0%
1 3
 
0.7%
2 4
1.0%
3 3
 
0.7%
5 2
 
0.5%
6 1
 
0.2%
7 2
 
0.5%
8 2
 
0.5%
9 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
36 1
 
0.2%
27 1
 
0.2%
23 1
 
0.2%
22 2
 
0.5%
20 2
 
0.5%
19 5
1.2%
18 1
 
0.2%
17 2
 
0.5%
16 4
1.0%
14 3
0.7%

비상계단여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.1%
Missing224
Missing (%)55.9%
Memory size934.0 B
False
166 
True
 
11
(Missing)
224 
ValueCountFrequency (%)
False 166
41.4%
True 11
 
2.7%
(Missing) 224
55.9%
2024-05-11T14:40:33.063975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.1%
Missing216
Missing (%)53.9%
Memory size934.0 B
False
165 
True
 
20
(Missing)
216 
ValueCountFrequency (%)
False 165
41.1%
True 20
 
5.0%
(Missing) 216
53.9%
2024-05-11T14:40:33.157157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.2%
Missing233
Missing (%)58.1%
Memory size934.0 B
False
166 
True
 
2
(Missing)
233 
ValueCountFrequency (%)
False 166
41.4%
True 2
 
0.5%
(Missing) 233
58.1%
2024-05-11T14:40:33.241906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)1.1%
Missing227
Missing (%)56.6%
Memory size934.0 B
False
117 
True
57 
(Missing)
227 
ValueCountFrequency (%)
False 117
29.2%
True 57
 
14.2%
(Missing) 227
56.6%
2024-05-11T14:40:33.340394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.2%
Missing233
Missing (%)58.1%
Memory size934.0 B
False
165 
True
 
3
(Missing)
233 
ValueCountFrequency (%)
False 165
41.1%
True 3
 
0.7%
(Missing) 233
58.1%
2024-05-11T14:40:33.438676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.2%
Missing231
Missing (%)57.6%
Memory size934.0 B
False
166 
True
 
4
(Missing)
231 
ValueCountFrequency (%)
False 166
41.4%
True 4
 
1.0%
(Missing) 231
57.6%
2024-05-11T14:40:33.552356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
392 
0
 
9

Length

Max length4
Median length4
Mean length3.9326683
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 392
97.8%
0 9
 
2.2%

Length

2024-05-11T14:40:33.710129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:33.845839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 392
97.8%
0 9
 
2.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing401
Missing (%)100.0%
Memory size3.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
359 
일반주거지역
 
20
일반상업지역
 
13
상업지역
 
5
근린상업지역
 
3

Length

Max length6
Median length4
Mean length4.1820449
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 359
89.5%
일반주거지역 20
 
5.0%
일반상업지역 13
 
3.2%
상업지역 5
 
1.2%
근린상업지역 3
 
0.7%
준주거지역 1
 
0.2%

Length

2024-05-11T14:40:34.027170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:34.197152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 359
89.5%
일반주거지역 20
 
5.0%
일반상업지역 13
 
3.2%
상업지역 5
 
1.2%
근린상업지역 3
 
0.7%
준주거지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF324205199200000119920530<NA>3폐업03폐업20020304<NA><NA><NA><NA><NA>120808서울특별시 서대문구 대현동 37-10번지서울특별시 서대문구 이화여대7길 37 (대현동)<NA>큐2007-02-21 16:36:00I2018-08-31 23:59:59.0<NA>194952.035682450696.833437노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFF324205199200000219920611<NA>3폐업03폐업20010607<NA><NA><NA><NA><NA>120822서울특별시 서대문구 북아현동 220-36번지서울특별시 서대문구 신촌로 241 (북아현동)<NA>육교2007-02-21 16:36:48I2018-08-31 23:59:59.0<NA>195762.067624450575.846478노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFF324205199200000319920612<NA>3폐업03폐업20100915<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 27-4번지서울특별시 서대문구 이화여대길 87 (대현동)<NA>특실노래방2010-09-28 15:21:24I2018-08-31 23:59:59.0<NA>194942.632875450754.829646노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000CDFF324205199200000419920701<NA>3폐업03폐업20060503<NA><NA><NA><NA><NA>120834서울특별시 서대문구 창천동 52-48번지 (2,3층)서울특별시 서대문구 연세로7안길 5 (창천동,(2,3층))<NA>새터2007-03-05 11:40:37I2018-08-31 23:59:59.0<NA>194292.709113450630.902344노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43120000CDFF324205199200000519920701<NA>3폐업03폐업20071022<NA><NA><NA><NA><NA>120834서울특별시 서대문구 창천동 30-9번지<NA><NA>아리랑2007-11-05 11:38:22I2018-08-31 23:59:59.0<NA>194315.886085450384.575342노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53120000CDFF324205199200000619920701<NA>4취소/말소/만료/정지/중지35직권말소20080424<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 31-82번지서울특별시 서대문구 명물길 27 (창천동)<NA>신촌아리랑2012-03-27 09:48:28I2018-08-31 23:59:59.0<NA>194461.185476450665.596224노래연습장업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFF324205199200000719920704<NA>3폐업03폐업20050927<NA><NA><NA><NA><NA>120834서울특별시 서대문구 창천동 52-8번지서울특별시 서대문구 연세로11길 10 (창천동)<NA>소나타노래연습장2007-02-21 16:39:48I2018-08-31 23:59:59.0<NA>194301.973876450755.596591노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFF324205199200000819920706<NA>3폐업03폐업20120718<NA><NA><NA>363-2795<NA><NA>서울특별시 서대문구 창천동 31-45번지 지하1층서울특별시 서대문구 연세로 19 (창천동,지하1층)<NA>와우노래방2012-07-18 10:58:29I2018-08-31 23:59:59.0<NA>194340.192267450571.066473노래연습장업유통관련업0<NA><NA>120.6300<NA><NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000CDFF324205199200000919920708<NA>3폐업03폐업20030324<NA><NA><NA><NA><NA>120833서울특별시 서대문구 창천동 13-33번지서울특별시 서대문구 연세로4길 19 (창천동)<NA>에피소드2007-02-21 16:42:05I2018-08-31 23:59:59.0<NA>194435.406385450570.993352노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFF324205199200001019920708<NA>3폐업03폐업20001021<NA><NA><NA><NA><NA>120834서울특별시 서대문구 창천동 57-3번지서울특별시 서대문구 연세로5가길 8-3 (창천동)<NA>우정2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA>194289.472597450587.886582노래연습장업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3913120000CDFF324205201900000220190513<NA>3폐업03폐업20201210<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 5-11서울특별시 서대문구 명물길 70, 2층 (창천동)3777어썸 코인노래연습장 신촌1호점2020-12-14 10:23:16U2020-12-16 02:40:00.0<NA>194634.583202450733.572953노래연습장업유통관련업6<NA><NA>113.5851근린생활시설<NA><NA>15<NA><NA>Y<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
3923120000CDFF324205201900000320191031<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 5-23번지 오시리스타워서울특별시 서대문구 명물길 62, 오시리스타워 7층 (창천동)3777도시.락 노래연습장2019-10-31 15:53:47I2019-11-02 00:23:04.0<NA>194601.986089450739.794589노래연습장업유통관련업11<NA><NA>186.229근린생활시설<NA><NA>88<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
3933120000CDFF324205202000000120200123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 31-80 큐비드빌딩서울특별시 서대문구 명물길 23, 큐비드빌딩 4층 (창천동)3776휴 코인노래연습장 신촌 명물거리점2021-04-01 10:15:56U2021-04-03 02:40:00.0<NA>194445.522089450650.471336노래연습장업유통관련업<NA><NA><NA>354.6<NA><NA>근린생활시설<NA><NA>3636YY<NA>Y<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3943120000CDFF324205202000000220200212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-336-2084<NA><NA>서울특별시 서대문구 창천동 33-20번지서울특별시 서대문구 연세로 29, 지하1층 (창천동)3788어썸 코인노래연습장 신촌2호점2020-02-12 11:23:27I2020-02-14 00:23:30.0<NA>194340.906009450662.059404노래연습장업유통관련업8<NA><NA>147.681<NA><NA><NA>1919YY<NA>Y<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
3953120000CDFF324205202000000320200528<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 137-14번지서울특별시 서대문구 통일로 424, 지하층 (홍제동)3630베스타코인노래연습장2020-05-28 10:22:25I2020-05-30 00:23:39.0<NA>195194.369998453880.156424노래연습장업유통관련업<NA><NA><NA>160.0<NA><NA>근린생활시설<NA><NA>1919<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3963120000CDFF32420520210000012021-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 173-2 서광교회서울특별시 서대문구 통일로37길 4, 지층 (홍제동)3639테크노 노래연습장2023-11-08 15:52:52U2022-10-31 23:00:00.0<NA>195024.356116453992.743836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3973120000CDFF324205202200000120220203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 324-31서울특별시 서대문구 거북골로 31, 지하1층 (남가좌동)3665인서트 코인노래연습장2022-02-03 17:45:22I2022-02-05 00:22:38.0<NA>193245.256824453036.18544노래연습장업유통관련업0<NA><NA>141.4900<NA>0.002020<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
3983120000CDFF324205202200000220220211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 영천동 325서울특별시 서대문구 통일로 189, 지하1층 (영천동)3734럭키노래연습장2022-07-27 10:48:57U2021-12-06 22:09:00.0<NA>196567.532336451997.819618<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3993120000CDFF324205202200000320221229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 31-45서울특별시 서대문구 연세로 19, 2,3,4층 (창천동)3789악쓰는하마코인노래연습장 신촌점2022-12-29 13:17:50I2021-11-01 21:01:00.0<NA>194340.192267450571.066473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4003120000CDFF32420520240000012024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 343-1 지층서울특별시 서대문구 거북골로 39, 지층 (남가좌동)3665엠제이 코인노래연습장2024-04-19 14:01:04I2023-12-03 22:01:00.0<NA>193179.55749452983.966547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>