Overview

Dataset statistics

Number of variables56
Number of observations337
Missing cells8314
Missing cells (%)44.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory158.1 KiB
Average record size in memory480.4 B

Variable types

Categorical15
Text5
DateTime4
Unsupported16
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17259/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (94.5%)Imbalance
상세영업상태코드 is highly imbalanced (52.6%)Imbalance
상세영업상태명 is highly imbalanced (52.6%)Imbalance
주변환경명 is highly imbalanced (66.8%)Imbalance
건물용도명 is highly imbalanced (60.7%)Imbalance
조명시설조도 is highly imbalanced (83.5%)Imbalance
자동환기여부 is highly imbalanced (65.7%)Imbalance
특수조명여부 is highly imbalanced (73.3%)Imbalance
방음시설여부 is highly imbalanced (60.6%)Imbalance
총게임기수 is highly imbalanced (71.2%)Imbalance
지역구분명 is highly imbalanced (62.5%)Imbalance
폐업일자 has 198 (58.8%) missing valuesMissing
휴업시작일자 has 337 (100.0%) missing valuesMissing
휴업종료일자 has 337 (100.0%) missing valuesMissing
재개업일자 has 337 (100.0%) missing valuesMissing
전화번호 has 180 (53.4%) missing valuesMissing
소재지면적 has 337 (100.0%) missing valuesMissing
소재지우편번호 has 259 (76.9%) missing valuesMissing
도로명주소 has 7 (2.1%) missing valuesMissing
도로명우편번호 has 262 (77.7%) missing valuesMissing
업태구분명 has 337 (100.0%) missing valuesMissing
총층수 has 242 (71.8%) missing valuesMissing
제작취급품목내용 has 337 (100.0%) missing valuesMissing
시설면적 has 74 (22.0%) missing valuesMissing
지상층수 has 231 (68.5%) missing valuesMissing
통로너비 has 307 (91.1%) missing valuesMissing
노래방실수 has 150 (44.5%) missing valuesMissing
청소년실수 has 202 (59.9%) missing valuesMissing
비상계단여부 has 123 (36.5%) missing valuesMissing
비상구여부 has 122 (36.2%) missing valuesMissing
자동환기여부 has 134 (39.8%) missing valuesMissing
청소년실여부 has 155 (46.0%) missing valuesMissing
특수조명여부 has 139 (41.2%) missing valuesMissing
방음시설여부 has 131 (38.9%) missing valuesMissing
비디오재생기명 has 337 (100.0%) missing valuesMissing
조명시설유무 has 337 (100.0%) missing valuesMissing
음향시설여부 has 337 (100.0%) missing valuesMissing
편의시설여부 has 337 (100.0%) missing valuesMissing
소방시설여부 has 337 (100.0%) missing valuesMissing
기존게임업외업종명 has 337 (100.0%) missing valuesMissing
제공게임물명 has 337 (100.0%) missing valuesMissing
공연장형태구분명 has 337 (100.0%) missing valuesMissing
품목명 has 337 (100.0%) missing valuesMissing
최초등록시점 has 337 (100.0%) missing valuesMissing
관리번호 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
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 29 (8.6%) zerosZeros
시설면적 has 34 (10.1%) zerosZeros
지상층수 has 27 (8.0%) zerosZeros
통로너비 has 15 (4.5%) zerosZeros
청소년실수 has 16 (4.7%) zerosZeros

Reproduction

Analysis started2024-04-29 19:13:33.178497
Analysis finished2024-04-29 19:13:34.110024
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3170000
337 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 337
100.0%

Length

2024-04-30T04:13:34.179609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:34.251014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 337
100.0%

관리번호
Text

UNIQUE 

Distinct337
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-30T04:13:34.398245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6740
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

Unique337 ?
Unique (%)100.0%

Sample

1st rowCDFF3242051993000001
2nd rowCDFF3242051993000002
3rd rowCDFF3242051993000003
4th rowCDFF3242051993000005
5th rowCDFF3242051993000006
ValueCountFrequency (%)
cdff3242051993000001 1
 
0.3%
cdff3242052004000009 1
 
0.3%
cdff3242052004000018 1
 
0.3%
cdff3242052004000017 1
 
0.3%
cdff3242052004000016 1
 
0.3%
cdff3242052004000015 1
 
0.3%
cdff3242052004000014 1
 
0.3%
cdff3242052004000013 1
 
0.3%
cdff3242052004000012 1
 
0.3%
cdff3242052004000011 1
 
0.3%
Other values (327) 327
97.0%
2024-04-30T04:13:34.675966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2375
35.2%
2 1090
16.2%
F 674
 
10.0%
3 439
 
6.5%
4 414
 
6.1%
5 403
 
6.0%
C 337
 
5.0%
D 337
 
5.0%
1 289
 
4.3%
9 221
 
3.3%
Other values (3) 161
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5392
80.0%
Uppercase Letter 1348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2375
44.0%
2 1090
20.2%
3 439
 
8.1%
4 414
 
7.7%
5 403
 
7.5%
1 289
 
5.4%
9 221
 
4.1%
8 61
 
1.1%
6 54
 
1.0%
7 46
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 674
50.0%
C 337
25.0%
D 337
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5392
80.0%
Latin 1348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2375
44.0%
2 1090
20.2%
3 439
 
8.1%
4 414
 
7.7%
5 403
 
7.5%
1 289
 
5.4%
9 221
 
4.1%
8 61
 
1.1%
6 54
 
1.0%
7 46
 
0.9%
Latin
ValueCountFrequency (%)
F 674
50.0%
C 337
25.0%
D 337
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2375
35.2%
2 1090
16.2%
F 674
 
10.0%
3 439
 
6.5%
4 414
 
6.1%
5 403
 
6.0%
C 337
 
5.0%
D 337
 
5.0%
1 289
 
4.3%
9 221
 
3.3%
Other values (3) 161
 
2.4%

인허가일자
Date

Distinct308
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1993-08-17 00:00:00
Maximum2023-07-27 00:00:00
2024-04-30T04:13:34.797372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:34.923615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
333 
20070618
 
2
20090320
 
1
20130101
 
1

Length

Max length8
Median length4
Mean length4.0474777
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 333
98.8%
20070618 2
 
0.6%
20090320 1
 
0.3%
20130101 1
 
0.3%

Length

2024-04-30T04:13:35.051550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:35.172960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 333
98.8%
20070618 2
 
0.6%
20090320 1
 
0.3%
20130101 1
 
0.3%

영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
1
192 
3
134 
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 192
57.0%
3 134
39.8%
4 11
 
3.3%

Length

2024-04-30T04:13:35.297695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:35.445329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 192
57.0%
3 134
39.8%
4 11
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업/정상
192 
폐업
134 
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length5
Mean length4.1008902
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 192
57.0%
폐업 134
39.8%
취소/말소/만료/정지/중지 11
 
3.3%

Length

2024-04-30T04:13:35.550843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:35.639488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 192
57.0%
폐업 134
39.8%
취소/말소/만료/정지/중지 11
 
3.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
13
191 
03
134 
35
 
6
31
 
3
30
 
2

Length

Max length4
Median length2
Mean length2.0059347
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row03
2nd row13
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
13 191
56.7%
03 134
39.8%
35 6
 
1.8%
31 3
 
0.9%
30 2
 
0.6%
BBBB 1
 
0.3%

Length

2024-04-30T04:13:35.737271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:35.844071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 191
56.7%
03 134
39.8%
35 6
 
1.8%
31 3
 
0.9%
30 2
 
0.6%
bbbb 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업중
191 
폐업
134 
직권말소
 
6
등록취소
 
3
허가취소
 
2

Length

Max length4
Median length3
Mean length2.6379822
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 191
56.7%
폐업 134
39.8%
직권말소 6
 
1.8%
등록취소 3
 
0.9%
허가취소 2
 
0.6%
<NA> 1
 
0.3%

Length

2024-04-30T04:13:35.963028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:36.062670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 191
56.7%
폐업 134
39.8%
직권말소 6
 
1.8%
등록취소 3
 
0.9%
허가취소 2
 
0.6%
na 1
 
0.3%

폐업일자
Date

MISSING 

Distinct132
Distinct (%)95.0%
Missing198
Missing (%)58.8%
Memory size2.8 KiB
Minimum1999-05-31 00:00:00
Maximum2023-08-02 00:00:00
2024-04-30T04:13:36.167796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:36.289853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

전화번호
Text

MISSING 

Distinct157
Distinct (%)100.0%
Missing180
Missing (%)53.4%
Memory size2.8 KiB
2024-04-30T04:13:36.594393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.2484076
Min length8

Characters and Unicode

Total characters1295
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

Unique157 ?
Unique (%)100.0%

Sample

1st row892-3009
2nd row855-4377
3rd row851-8215
4th row896-7581
5th row857-7233
ValueCountFrequency (%)
861-0500 1
 
0.6%
855-4427 1
 
0.6%
892-0038 1
 
0.6%
837-5937 1
 
0.6%
839-1190 1
 
0.6%
851-4755 1
 
0.6%
861-5908 1
 
0.6%
830-4822 1
 
0.6%
808-2444 1
 
0.6%
851-6185 1
 
0.6%
Other values (147) 147
93.6%
2024-04-30T04:13:36.998206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 240
18.5%
- 168
13.0%
0 142
11.0%
5 134
10.3%
9 101
7.8%
6 96
 
7.4%
2 94
 
7.3%
1 88
 
6.8%
3 80
 
6.2%
7 76
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1127
87.0%
Dash Punctuation 168
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 240
21.3%
0 142
12.6%
5 134
11.9%
9 101
9.0%
6 96
 
8.5%
2 94
 
8.3%
1 88
 
7.8%
3 80
 
7.1%
7 76
 
6.7%
4 76
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 240
18.5%
- 168
13.0%
0 142
11.0%
5 134
10.3%
9 101
7.8%
6 96
 
7.4%
2 94
 
7.3%
1 88
 
6.8%
3 80
 
6.2%
7 76
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 240
18.5%
- 168
13.0%
0 142
11.0%
5 134
10.3%
9 101
7.8%
6 96
 
7.4%
2 94
 
7.3%
1 88
 
6.8%
3 80
 
6.2%
7 76
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)32.1%
Missing259
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean153821.21
Minimum153030
Maximum153867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:37.112920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153030
5-th percentile153801
Q1153808
median153827
Q3153858
95-th percentile153864
Maximum153867
Range837
Interquartile range (IQR)50

Descriptive statistics

Standard deviation93.951958
Coefficient of variation (CV)0.00061078677
Kurtosis67.505627
Mean153821.21
Median Absolute Deviation (MAD)26
Skewness-7.9352094
Sum11998054
Variance8826.9704
MonotonicityNot monotonic
2024-04-30T04:13:37.207144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
153801 14
 
4.2%
153858 9
 
2.7%
153813 9
 
2.7%
153864 5
 
1.5%
153855 4
 
1.2%
153821 3
 
0.9%
153856 3
 
0.9%
153859 3
 
0.9%
153863 3
 
0.9%
153812 3
 
0.9%
Other values (15) 22
 
6.5%
(Missing) 259
76.9%
ValueCountFrequency (%)
153030 1
 
0.3%
153801 14
4.2%
153803 1
 
0.3%
153806 3
 
0.9%
153807 1
 
0.3%
153811 2
 
0.6%
153812 3
 
0.9%
153813 9
2.7%
153821 3
 
0.9%
153823 1
 
0.3%
ValueCountFrequency (%)
153867 1
 
0.3%
153864 5
1.5%
153863 3
 
0.9%
153861 1
 
0.3%
153859 3
 
0.9%
153858 9
2.7%
153856 3
 
0.9%
153855 4
1.2%
153844 2
 
0.6%
153843 1
 
0.3%

지번주소
Text

Distinct316
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-30T04:13:37.443106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length23.133531
Min length17

Characters and Unicode

Total characters7796
Distinct characters90
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

Unique298 ?
Unique (%)88.4%

Sample

1st row서울특별시 금천구 독산동 303-12번지
2nd row서울특별시 금천구 가산동 143-41번지
3rd row서울특별시 금천구 시흥동 262-6번지
4th row서울특별시 금천구 독산동 1064-25번지
5th row서울특별시 금천구 시흥동 837-38번지
ValueCountFrequency (%)
서울특별시 337
23.4%
금천구 337
23.4%
독산동 138
 
9.6%
시흥동 133
 
9.2%
가산동 66
 
4.6%
지하1층 29
 
2.0%
지하 11
 
0.8%
2층 10
 
0.7%
지층 7
 
0.5%
853-26번지 3
 
0.2%
Other values (337) 372
25.8%
2024-04-30T04:13:37.824280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1381
17.7%
시 470
 
6.0%
1 393
 
5.0%
동 343
 
4.4%
천 339
 
4.3%
금 339
 
4.3%
구 337
 
4.3%
서 337
 
4.3%
별 337
 
4.3%
특 337
 
4.3%
Other values (80) 3183
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4457
57.2%
Decimal Number 1630
 
20.9%
Space Separator 1381
 
17.7%
Dash Punctuation 315
 
4.0%
Uppercase Letter 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 470
10.5%
동 343
 
7.7%
천 339
 
7.6%
금 339
 
7.6%
구 337
 
7.6%
서 337
 
7.6%
별 337
 
7.6%
특 337
 
7.6%
울 337
 
7.6%
지 293
 
6.6%
Other values (63) 988
22.2%
Decimal Number
ValueCountFrequency (%)
1 393
24.1%
8 214
13.1%
9 188
11.5%
2 176
10.8%
4 140
 
8.6%
3 134
 
8.2%
0 133
 
8.2%
5 86
 
5.3%
6 84
 
5.2%
7 82
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
A 2
33.3%
Space Separator
ValueCountFrequency (%)
1381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 315
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4457
57.2%
Common 3333
42.8%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 470
10.5%
동 343
 
7.7%
천 339
 
7.6%
금 339
 
7.6%
구 337
 
7.6%
서 337
 
7.6%
별 337
 
7.6%
특 337
 
7.6%
울 337
 
7.6%
지 293
 
6.6%
Other values (63) 988
22.2%
Common
ValueCountFrequency (%)
1381
41.4%
1 393
 
11.8%
- 315
 
9.5%
8 214
 
6.4%
9 188
 
5.6%
2 176
 
5.3%
4 140
 
4.2%
3 134
 
4.0%
0 133
 
4.0%
5 86
 
2.6%
Other values (5) 173
 
5.2%
Latin
ValueCountFrequency (%)
B 4
66.7%
A 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4457
57.2%
ASCII 3339
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1381
41.4%
1 393
 
11.8%
- 315
 
9.4%
8 214
 
6.4%
9 188
 
5.6%
2 176
 
5.3%
4 140
 
4.2%
3 134
 
4.0%
0 133
 
4.0%
5 86
 
2.6%
Other values (7) 179
 
5.4%
Hangul
ValueCountFrequency (%)
시 470
10.5%
동 343
 
7.7%
천 339
 
7.6%
금 339
 
7.6%
구 337
 
7.6%
서 337
 
7.6%
별 337
 
7.6%
특 337
 
7.6%
울 337
 
7.6%
지 293
 
6.6%
Other values (63) 988
22.2%

도로명주소
Text

MISSING 

Distinct310
Distinct (%)93.9%
Missing7
Missing (%)2.1%
Memory size2.8 KiB
2024-04-30T04:13:38.091539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length26.521212
Min length22

Characters and Unicode

Total characters8752
Distinct characters108
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

Unique292 ?
Unique (%)88.5%

Sample

1st row서울특별시 금천구 가산로3길 81 (독산동)
2nd row서울특별시 금천구 디지털로12길 29-5 (가산동)
3rd row서울특별시 금천구 금하로 745 (시흥동)
4th row서울특별시 금천구 시흥대로88가길 17 (독산동)
5th row서울특별시 금천구 독산로 56 (시흥동)
ValueCountFrequency (%)
서울특별시 330
19.2%
금천구 330
19.2%
시흥동 116
 
6.8%
독산동 114
 
6.6%
가산동 54
 
3.1%
시흥대로 53
 
3.1%
독산로 48
 
2.8%
가산로 34
 
2.0%
금하로 19
 
1.1%
지하1층 18
 
1.0%
Other values (323) 599
34.9%
2024-04-30T04:13:38.465617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1512
 
17.3%
시 572
 
6.5%
금 372
 
4.3%
동 335
 
3.8%
천 332
 
3.8%
( 331
 
3.8%
) 331
 
3.8%
서 330
 
3.8%
울 330
 
3.8%
구 330
 
3.8%
Other values (98) 3977
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5238
59.8%
Space Separator 1512
 
17.3%
Decimal Number 1215
 
13.9%
Open Punctuation 331
 
3.8%
Close Punctuation 331
 
3.8%
Other Punctuation 98
 
1.1%
Dash Punctuation 20
 
0.2%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 572
 
10.9%
금 372
 
7.1%
동 335
 
6.4%
천 332
 
6.3%
서 330
 
6.3%
울 330
 
6.3%
구 330
 
6.3%
별 330
 
6.3%
특 330
 
6.3%
로 329
 
6.3%
Other values (81) 1648
31.5%
Decimal Number
ValueCountFrequency (%)
1 278
22.9%
2 194
16.0%
3 140
11.5%
4 126
10.4%
5 98
 
8.1%
6 91
 
7.5%
9 75
 
6.2%
8 75
 
6.2%
7 71
 
5.8%
0 67
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
71.4%
A 2
 
28.6%
Space Separator
ValueCountFrequency (%)
1512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Other Punctuation
ValueCountFrequency (%)
, 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5238
59.8%
Common 3507
40.1%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 572
 
10.9%
금 372
 
7.1%
동 335
 
6.4%
천 332
 
6.3%
서 330
 
6.3%
울 330
 
6.3%
구 330
 
6.3%
별 330
 
6.3%
특 330
 
6.3%
로 329
 
6.3%
Other values (81) 1648
31.5%
Common
ValueCountFrequency (%)
1512
43.1%
( 331
 
9.4%
) 331
 
9.4%
1 278
 
7.9%
2 194
 
5.5%
3 140
 
4.0%
4 126
 
3.6%
, 98
 
2.8%
5 98
 
2.8%
6 91
 
2.6%
Other values (5) 308
 
8.8%
Latin
ValueCountFrequency (%)
B 5
71.4%
A 2
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5238
59.8%
ASCII 3514
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1512
43.0%
( 331
 
9.4%
) 331
 
9.4%
1 278
 
7.9%
2 194
 
5.5%
3 140
 
4.0%
4 126
 
3.6%
, 98
 
2.8%
5 98
 
2.8%
6 91
 
2.6%
Other values (7) 315
 
9.0%
Hangul
ValueCountFrequency (%)
시 572
 
10.9%
금 372
 
7.1%
동 335
 
6.4%
천 332
 
6.3%
서 330
 
6.3%
울 330
 
6.3%
구 330
 
6.3%
별 330
 
6.3%
특 330
 
6.3%
로 329
 
6.3%
Other values (81) 1648
31.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)56.0%
Missing262
Missing (%)77.7%
Infinite0
Infinite (%)0.0%
Mean14379.84
Minimum8503
Maximum153841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:38.576791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8503
5-th percentile8509
Q18527.5
median8568
Q38626
95-th percentile8644
Maximum153841
Range145338
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation28654.472
Coefficient of variation (CV)1.9926836
Kurtosis21.529237
Mean14379.84
Median Absolute Deviation (MAD)50
Skewness4.7911967
Sum1078488
Variance8.2107876 × 108
MonotonicityNot monotonic
2024-04-30T04:13:38.694651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8509 7
 
2.1%
8628 7
 
2.1%
8626 4
 
1.2%
8531 3
 
0.9%
8644 3
 
0.9%
8546 3
 
0.9%
8515 3
 
0.9%
8579 3
 
0.9%
8618 3
 
0.9%
8528 2
 
0.6%
Other values (32) 37
 
11.0%
(Missing) 262
77.7%
ValueCountFrequency (%)
8503 1
 
0.3%
8509 7
2.1%
8510 2
 
0.6%
8512 1
 
0.3%
8515 3
0.9%
8523 1
 
0.3%
8525 1
 
0.3%
8526 1
 
0.3%
8527 2
 
0.6%
8528 2
 
0.6%
ValueCountFrequency (%)
153841 1
 
0.3%
153828 1
 
0.3%
153786 1
 
0.3%
8644 3
0.9%
8642 2
 
0.6%
8639 1
 
0.3%
8638 1
 
0.3%
8628 7
2.1%
8626 4
1.2%
8618 3
0.9%

사업장명
Text

Distinct275
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-30T04:13:38.936336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length3.7151335
Min length1

Characters and Unicode

Total characters1252
Distinct characters308
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)70.3%

Sample

1st row히든카드
2nd row주부열창
3rd row즐거운
4th row새운
5th row써니
ValueCountFrequency (%)
노래연습장 28
 
7.5%
스타 9
 
2.4%
팡팡 6
 
1.6%
궁전 6
 
1.6%
타타타 3
 
0.8%
우정 3
 
0.8%
코인노래연습장 3
 
0.8%
쟁반 3
 
0.8%
신바람 3
 
0.8%
즐거운 3
 
0.8%
Other values (266) 307
82.1%
2024-04-30T04:13:39.305832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 73
 
5.8%
래 70
 
5.6%
장 63
 
5.0%
연 63
 
5.0%
습 62
 
5.0%
37
 
3.0%
스 24
 
1.9%
타 24
 
1.9%
리 17
 
1.4%
인 15
 
1.2%
Other values (298) 804
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1128
90.1%
Uppercase Letter 42
 
3.4%
Space Separator 37
 
3.0%
Decimal Number 34
 
2.7%
Other Punctuation 4
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 73
 
6.5%
래 70
 
6.2%
장 63
 
5.6%
연 63
 
5.6%
습 62
 
5.5%
스 24
 
2.1%
타 24
 
2.1%
리 17
 
1.5%
인 15
 
1.3%
코 13
 
1.2%
Other values (268) 704
62.4%
Uppercase Letter
ValueCountFrequency (%)
O 7
16.7%
P 5
11.9%
C 5
11.9%
B 5
11.9%
K 5
11.9%
S 4
9.5%
M 3
7.1%
I 2
 
4.8%
T 1
 
2.4%
N 1
 
2.4%
Other values (4) 4
9.5%
Decimal Number
ValueCountFrequency (%)
1 8
23.5%
2 8
23.5%
0 7
20.6%
5 4
11.8%
7 4
11.8%
6 1
 
2.9%
8 1
 
2.9%
3 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
& 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1128
90.1%
Common 81
 
6.5%
Latin 43
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 73
 
6.5%
래 70
 
6.2%
장 63
 
5.6%
연 63
 
5.6%
습 62
 
5.5%
스 24
 
2.1%
타 24
 
2.1%
리 17
 
1.5%
인 15
 
1.3%
코 13
 
1.2%
Other values (268) 704
62.4%
Common
ValueCountFrequency (%)
37
45.7%
1 8
 
9.9%
2 8
 
9.9%
0 7
 
8.6%
5 4
 
4.9%
7 4
 
4.9%
) 2
 
2.5%
( 2
 
2.5%
, 2
 
2.5%
- 2
 
2.5%
Other values (5) 5
 
6.2%
Latin
ValueCountFrequency (%)
O 7
16.3%
P 5
11.6%
C 5
11.6%
B 5
11.6%
K 5
11.6%
S 4
9.3%
M 3
7.0%
I 2
 
4.7%
T 1
 
2.3%
N 1
 
2.3%
Other values (5) 5
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1125
89.9%
ASCII 124
 
9.9%
Compat Jamo 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 73
 
6.5%
래 70
 
6.2%
장 63
 
5.6%
연 63
 
5.6%
습 62
 
5.5%
스 24
 
2.1%
타 24
 
2.1%
리 17
 
1.5%
인 15
 
1.3%
코 13
 
1.2%
Other values (265) 701
62.3%
ASCII
ValueCountFrequency (%)
37
29.8%
1 8
 
6.5%
2 8
 
6.5%
0 7
 
5.6%
O 7
 
5.6%
P 5
 
4.0%
C 5
 
4.0%
B 5
 
4.0%
K 5
 
4.0%
5 4
 
3.2%
Other values (20) 33
26.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
33.3%
ㄴ 1
33.3%
ㄷ 1
33.3%

최종수정일자
Date

Distinct305
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2003-02-06 14:38:21
Maximum2024-04-23 17:07:55
2024-04-30T04:13:39.593673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:39.714694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
197 
U
140 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 197
58.5%
U 140
41.5%

Length

2024-04-30T04:13:39.822602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:39.912374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 197
58.5%
u 140
41.5%

데이터갱신일자
Date

Distinct127
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:00:00
2024-04-30T04:13:40.009535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:40.143831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct282
Distinct (%)84.4%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean191003.46
Minimum189067.12
Maximum192194.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:40.287215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189067.12
5-th percentile189733.95
Q1190682.72
median191181.03
Q3191371.34
95-th percentile191827.3
Maximum192194.26
Range3127.1437
Interquartile range (IQR)688.61897

Descriptive statistics

Standard deviation584.74724
Coefficient of variation (CV)0.0030614484
Kurtosis0.51686462
Mean191003.46
Median Absolute Deviation (MAD)297.86168
Skewness-0.8020995
Sum63795156
Variance341929.33
MonotonicityNot monotonic
2024-04-30T04:13:40.429199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190682.720335582 3
 
0.9%
190376.887344493 3
 
0.9%
190251.771509522 3
 
0.9%
190230.760942582 3
 
0.9%
190264.387529738 3
 
0.9%
191381.526237729 3
 
0.9%
190824.393332122 3
 
0.9%
190880.477053829 3
 
0.9%
189067.117409684 2
 
0.6%
191852.169936031 2
 
0.6%
Other values (272) 306
90.8%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
189067.117409684 2
0.6%
189238.017238916 1
0.3%
189452.382474246 1
0.3%
189538.020935968 2
0.6%
189574.080926631 1
0.3%
189581.514157929 1
0.3%
189583.102911049 1
0.3%
189592.005791358 1
0.3%
189594.947211918 1
0.3%
189616.142056546 2
0.6%
ValueCountFrequency (%)
192194.261157773 1
0.3%
192193.026208196 1
0.3%
192160.494815615 1
0.3%
192037.276284604 1
0.3%
191990.364581417 2
0.6%
191978.838883558 1
0.3%
191966.300995725 1
0.3%
191948.466942039 1
0.3%
191866.631604803 1
0.3%
191863.3608228 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct282
Distinct (%)84.4%
Missing3
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean440291.8
Minimum436897.47
Maximum442288.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:40.567540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436897.47
5-th percentile438625.19
Q1439084.8
median440508
Q3441496.17
95-th percentile441961.16
Maximum442288.83
Range5391.3636
Interquartile range (IQR)2411.3654

Descriptive statistics

Standard deviation1254.7104
Coefficient of variation (CV)0.0028497247
Kurtosis-1.1831491
Mean440291.8
Median Absolute Deviation (MAD)1211.8631
Skewness-0.21338489
Sum1.4705746 × 108
Variance1574298.3
MonotonicityNot monotonic
2024-04-30T04:13:40.705124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441142.221885751 3
 
0.9%
441719.096950576 3
 
0.9%
441357.426020569 3
 
0.9%
441819.480775104 3
 
0.9%
441757.881433627 3
 
0.9%
439539.510156879 3
 
0.9%
440170.521290396 3
 
0.9%
441004.490706785 3
 
0.9%
441835.667130718 2
 
0.6%
438713.654357827 2
 
0.6%
Other values (272) 306
90.8%
(Missing) 3
 
0.9%
ValueCountFrequency (%)
436897.466167682 1
0.3%
437562.242368734 2
0.6%
437749.431223746 1
0.3%
437799.809089881 1
0.3%
437811.811502379 1
0.3%
437816.239800826 1
0.3%
437827.727093014 1
0.3%
437850.294985717 1
0.3%
437872.700127002 1
0.3%
437914.06299827 1
0.3%
ValueCountFrequency (%)
442288.829793673 1
0.3%
442252.556978068 2
0.6%
442236.253610783 1
0.3%
442234.917705195 1
0.3%
442225.801362178 1
0.3%
442219.292287547 1
0.3%
442206.954607044 1
0.3%
442205.867457803 1
0.3%
442201.740263751 2
0.6%
442174.424111843 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
노래연습장업
282 
<NA>
55 

Length

Max length6
Median length6
Mean length5.6735905
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 282
83.7%
<NA> 55
 
16.3%

Length

2024-04-30T04:13:40.842286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:40.935656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 282
83.7%
na 55
 
16.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
유통관련업
282 
<NA>
55 

Length

Max length5
Median length5
Mean length4.8367953
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 282
83.7%
<NA> 55
 
16.3%

Length

2024-04-30T04:13:41.019331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:41.106119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 282
83.7%
na 55
 
16.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)11.6%
Missing242
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean3.5052632
Minimum0
Maximum20
Zeros29
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:41.185722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q35
95-th percentile7
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5486698
Coefficient of variation (CV)1.0123833
Kurtosis8.0807339
Mean3.5052632
Median Absolute Deviation (MAD)1
Skewness2.2103085
Sum333
Variance12.593057
MonotonicityNot monotonic
2024-04-30T04:13:41.292282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 29
 
8.6%
4 24
 
7.1%
3 12
 
3.6%
5 12
 
3.6%
6 6
 
1.8%
7 5
 
1.5%
2 3
 
0.9%
20 1
 
0.3%
15 1
 
0.3%
10 1
 
0.3%
(Missing) 242
71.8%
ValueCountFrequency (%)
0 29
8.6%
2 3
 
0.9%
3 12
3.6%
4 24
7.1%
5 12
3.6%
6 6
 
1.8%
7 5
 
1.5%
10 1
 
0.3%
15 1
 
0.3%
19 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
19 1
 
0.3%
15 1
 
0.3%
10 1
 
0.3%
7 5
 
1.5%
6 6
 
1.8%
5 12
3.6%
4 24
7.1%
3 12
3.6%
2 3
 
0.9%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
289 
기타
 
25
학교정화(상대)
 
8
유흥업소밀집지역
 
8
주택가주변
 
5

Length

Max length8
Median length4
Mean length4.0623145
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> 289
85.8%
기타 25
 
7.4%
학교정화(상대) 8
 
2.4%
유흥업소밀집지역 8
 
2.4%
주택가주변 5
 
1.5%
아파트지역 2
 
0.6%

Length

2024-04-30T04:13:41.400547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:41.490290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
85.8%
기타 25
 
7.4%
학교정화(상대 8
 
2.4%
유흥업소밀집지역 8
 
2.4%
주택가주변 5
 
1.5%
아파트지역 2
 
0.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct181
Distinct (%)68.8%
Missing74
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean127.49935
Minimum0
Maximum528
Zeros34
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:41.602221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191.81
median125
Q3164.96
95-th percentile265.874
Maximum528
Range528
Interquartile range (IQR)73.15

Descriptive statistics

Standard deviation80.325225
Coefficient of variation (CV)0.63000495
Kurtosis3.9896655
Mean127.49935
Median Absolute Deviation (MAD)35.69
Skewness1.1273254
Sum33532.33
Variance6452.1417
MonotonicityNot monotonic
2024-04-30T04:13:41.720029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
10.1%
99.0 12
 
3.6%
132.0 10
 
3.0%
165.0 4
 
1.2%
66.0 4
 
1.2%
125.0 3
 
0.9%
164.96 3
 
0.9%
129.59 3
 
0.9%
231.0 3
 
0.9%
89.01 2
 
0.6%
Other values (171) 185
54.9%
(Missing) 74
 
22.0%
ValueCountFrequency (%)
0.0 34
10.1%
49.09 1
 
0.3%
56.01 1
 
0.3%
56.1 1
 
0.3%
61.0 1
 
0.3%
66.0 4
 
1.2%
66.2 1
 
0.3%
66.49 1
 
0.3%
69.69 1
 
0.3%
74.66 1
 
0.3%
ValueCountFrequency (%)
528.0 1
0.3%
483.35 1
0.3%
427.35 1
0.3%
370.91 1
0.3%
368.17 1
0.3%
315.71 1
0.3%
306.12 1
0.3%
303.36 1
0.3%
297.27 1
0.3%
292.2 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)10.4%
Missing231
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean2.509434
Minimum0
Maximum15
Zeros27
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:41.813994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.5345058
Coefficient of variation (CV)1.009991
Kurtosis9.9861857
Mean2.509434
Median Absolute Deviation (MAD)1
Skewness2.514337
Sum266
Variance6.4237197
MonotonicityNot monotonic
2024-04-30T04:13:41.911999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 35
 
10.4%
0 27
 
8.0%
3 21
 
6.2%
4 10
 
3.0%
5 4
 
1.2%
6 3
 
0.9%
15 2
 
0.6%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
(Missing) 231
68.5%
ValueCountFrequency (%)
0 27
8.0%
1 1
 
0.3%
2 35
10.4%
3 21
6.2%
4 10
 
3.0%
5 4
 
1.2%
6 3
 
0.9%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
15 2
 
0.6%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 3
 
0.9%
5 4
 
1.2%
4 10
 
3.0%
3 21
6.2%
2 35
10.4%
1 1
 
0.3%

지하층수
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
172 
1
139 
0
21 
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length2.5311573
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
51.0%
1 139
41.2%
0 21
 
6.2%
3 2
 
0.6%
2 2
 
0.6%
5 1
 
0.3%

Length

2024-04-30T04:13:42.036688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:42.138053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
51.0%
1 139
41.2%
0 21
 
6.2%
3 2
 
0.6%
2 2
 
0.6%
5 1
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
269 
근린생활시설
65 
사무실
 
2
식품위생시설
 
1

Length

Max length6
Median length4
Mean length4.3857567
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 269
79.8%
근린생활시설 65
 
19.3%
사무실 2
 
0.6%
식품위생시설 1
 
0.3%

Length

2024-04-30T04:13:42.252139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:42.360453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 269
79.8%
근린생활시설 65
 
19.3%
사무실 2
 
0.6%
식품위생시설 1
 
0.3%

통로너비
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)33.3%
Missing307
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean0.722
Minimum0
Maximum2
Zeros15
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:42.469232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.45
95-th percentile1.8
Maximum2
Range2
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation0.76042366
Coefficient of variation (CV)1.0532184
Kurtosis-1.793361
Mean0.722
Median Absolute Deviation (MAD)0.5
Skewness0.21421986
Sum21.66
Variance0.57824414
MonotonicityNot monotonic
2024-04-30T04:13:42.581366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 15
 
4.5%
1.5 3
 
0.9%
1.3 2
 
0.6%
1.2 2
 
0.6%
1.8 2
 
0.6%
1.6 2
 
0.6%
1.0 1
 
0.3%
1.1 1
 
0.3%
2.0 1
 
0.3%
1.26 1
 
0.3%
(Missing) 307
91.1%
ValueCountFrequency (%)
0.0 15
4.5%
1.0 1
 
0.3%
1.1 1
 
0.3%
1.2 2
 
0.6%
1.26 1
 
0.3%
1.3 2
 
0.6%
1.5 3
 
0.9%
1.6 2
 
0.6%
1.8 2
 
0.6%
2.0 1
 
0.3%
ValueCountFrequency (%)
2.0 1
 
0.3%
1.8 2
 
0.6%
1.6 2
 
0.6%
1.5 3
 
0.9%
1.3 2
 
0.6%
1.26 1
 
0.3%
1.2 2
 
0.6%
1.1 1
 
0.3%
1.0 1
 
0.3%
0.0 15
4.5%

조명시설조도
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
315 
0
 
17
40
 
2
60
 
1
42
 
1

Length

Max length4
Median length4
Mean length3.8189911
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 315
93.5%
0 17
 
5.0%
40 2
 
0.6%
60 1
 
0.3%
42 1
 
0.3%
45 1
 
0.3%

Length

2024-04-30T04:13:42.697258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:42.805887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 315
93.5%
0 17
 
5.0%
40 2
 
0.6%
60 1
 
0.3%
42 1
 
0.3%
45 1
 
0.3%

노래방실수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)9.6%
Missing150
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean6.9251337
Minimum0
Maximum22
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:42.888010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median6
Q38
95-th percentile13.4
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3496524
Coefficient of variation (CV)0.48369498
Kurtosis6.1092468
Mean6.9251337
Median Absolute Deviation (MAD)1
Skewness2.1167197
Sum1295
Variance11.220171
MonotonicityNot monotonic
2024-04-30T04:13:42.973423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5 41
 
12.2%
6 41
 
12.2%
7 29
 
8.6%
4 19
 
5.6%
8 17
 
5.0%
10 9
 
2.7%
11 5
 
1.5%
9 5
 
1.5%
3 4
 
1.2%
12 4
 
1.2%
Other values (8) 13
 
3.9%
(Missing) 150
44.5%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.6%
3 4
 
1.2%
4 19
5.6%
5 41
12.2%
6 41
12.2%
7 29
8.6%
8 17
5.0%
9 5
 
1.5%
10 9
 
2.7%
ValueCountFrequency (%)
22 1
 
0.3%
21 2
 
0.6%
19 1
 
0.3%
18 2
 
0.6%
15 2
 
0.6%
14 2
 
0.6%
12 4
1.2%
11 5
1.5%
10 9
2.7%
9 5
1.5%

청소년실수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)11.9%
Missing202
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean3.1851852
Minimum0
Maximum22
Zeros16
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-30T04:13:43.066078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7499954
Coefficient of variation (CV)1.1773241
Kurtosis8.9534845
Mean3.1851852
Median Absolute Deviation (MAD)1
Skewness2.6679243
Sum430
Variance14.062465
MonotonicityNot monotonic
2024-04-30T04:13:43.157820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 36
 
10.7%
1 34
 
10.1%
0 16
 
4.7%
3 12
 
3.6%
4 8
 
2.4%
7 7
 
2.1%
5 6
 
1.8%
6 4
 
1.2%
10 4
 
1.2%
12 2
 
0.6%
Other values (6) 6
 
1.8%
(Missing) 202
59.9%
ValueCountFrequency (%)
0 16
4.7%
1 34
10.1%
2 36
10.7%
3 12
 
3.6%
4 8
 
2.4%
5 6
 
1.8%
6 4
 
1.2%
7 7
 
2.1%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
22 1
 
0.3%
21 1
 
0.3%
18 1
 
0.3%
12 2
 
0.6%
11 1
 
0.3%
10 4
1.2%
9 1
 
0.3%
8 1
 
0.3%
7 7
2.1%
6 4
1.2%

비상계단여부
Boolean

MISSING 

Distinct2
Distinct (%)0.9%
Missing123
Missing (%)36.5%
Memory size806.0 B
False
189 
True
25 
(Missing)
123 
ValueCountFrequency (%)
False 189
56.1%
True 25
 
7.4%
(Missing) 123
36.5%
2024-04-30T04:13:43.241737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)0.9%
Missing122
Missing (%)36.2%
Memory size806.0 B
False
189 
True
26 
(Missing)
122 
ValueCountFrequency (%)
False 189
56.1%
True 26
 
7.7%
(Missing) 122
36.2%
2024-04-30T04:13:43.312927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.0%
Missing134
Missing (%)39.8%
Memory size806.0 B
False
190 
True
 
13
(Missing)
134 
ValueCountFrequency (%)
False 190
56.4%
True 13
 
3.9%
(Missing) 134
39.8%
2024-04-30T04:13:43.383213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)1.1%
Missing155
Missing (%)46.0%
Memory size806.0 B
True
140 
False
42 
(Missing)
155 
ValueCountFrequency (%)
True 140
41.5%
False 42
 
12.5%
(Missing) 155
46.0%
2024-04-30T04:13:43.454738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.0%
Missing139
Missing (%)41.2%
Memory size806.0 B
False
189 
True
 
9
(Missing)
139 
ValueCountFrequency (%)
False 189
56.1%
True 9
 
2.7%
(Missing) 139
41.2%
2024-04-30T04:13:43.730869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.0%
Missing131
Missing (%)38.9%
Memory size806.0 B
False
190 
True
 
16
(Missing)
131 
ValueCountFrequency (%)
False 190
56.4%
True 16
 
4.7%
(Missing) 131
38.9%
2024-04-30T04:13:43.797530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
320 
0
 
17

Length

Max length4
Median length4
Mean length3.8486647
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> 320
95.0%
0 17
 
5.0%

Length

2024-04-30T04:13:43.885914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:43.984372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 320
95.0%
0 17
 
5.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing337
Missing (%)100.0%
Memory size3.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
271 
일반주거지역
31 
준공업지역
 
16
준주거지역
 
7
근린상업지역
 
5
Other values (3)
 
7

Length

Max length6
Median length4
Mean length4.3115727
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 271
80.4%
일반주거지역 31
 
9.2%
준공업지역 16
 
4.7%
준주거지역 7
 
2.1%
근린상업지역 5
 
1.5%
일반상업지역 5
 
1.5%
주거지역 1
 
0.3%
상업지역 1
 
0.3%

Length

2024-04-30T04:13:44.092655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:44.199080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 271
80.4%
일반주거지역 31
 
9.2%
준공업지역 16
 
4.7%
준주거지역 7
 
2.1%
근린상업지역 5
 
1.5%
일반상업지역 5
 
1.5%
주거지역 1
 
0.3%
상업지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF324205199300000119930817<NA>3폐업03폐업20000825<NA><NA><NA><NA><NA>153813서울특별시 금천구 독산동 303-12번지서울특별시 금천구 가산로3길 81 (독산동)<NA>히든카드2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>190281.62123441114.983131노래연습장업유통관련업<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>
13170000CDFF324205199300000219930916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 143-41번지서울특별시 금천구 디지털로12길 29-5 (가산동)8515주부열창2020-04-14 10:51:21U2020-04-16 02:40:00.0<NA>190200.618075441720.621209노래연습장업유통관련업<NA><NA><NA>56.01<NA><NA><NA><NA><NA>3<NA>NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFF324205199300000319930925<NA>3폐업03폐업19990531<NA><NA><NA><NA><NA>153844서울특별시 금천구 시흥동 262-6번지서울특별시 금천구 금하로 745 (시흥동)<NA>즐거운2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>192194.261158438676.781166노래연습장업유통관련업<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>
33170000CDFF324205199300000519931106<NA>3폐업03폐업20060307<NA><NA><NA><NA><NA>153867서울특별시 금천구 독산동 1064-25번지서울특별시 금천구 시흥대로88가길 17 (독산동)<NA>새운2006-03-08 18:24:52I2018-08-31 23:59:59.0<NA>191099.582444439956.975264노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFF324205199300000619931201<NA>3폐업03폐업20120508<NA><NA><NA>892-3009<NA><NA>서울특별시 금천구 시흥동 837-38번지서울특별시 금천구 독산로 56 (시흥동)<NA>써니2012-05-09 10:03:34I2018-08-31 23:59:59.0<NA>191636.90872438913.547879노래연습장업유통관련업<NA><NA><NA>105.6<NA><NA><NA><NA><NA>52NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53170000CDFF324205199400000119940112<NA>4취소/말소/만료/정지/중지35직권말소20091201<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1054-22번지서울특별시 금천구 시흥대로 342 (독산동)<NA>히트2009-12-01 18:01:27I2018-08-31 23:59:59.0<NA>190897.121553440210.0289노래연습장업유통관련업<NA><NA><NA>75.09<NA><NA><NA><NA><NA><NA><NA>NNN<NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFF324205199400000219940115<NA>3폐업03폐업20211217<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 880-12서울특별시 금천구 시흥대로62길 30 (시흥동)8626사또오천냥2021-12-17 17:29:17U2021-12-19 02:40:00.0<NA>191253.770388439304.384614노래연습장업유통관련업<NA><NA><NA>99.89<NA>1<NA><NA><NA>77NNNYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFF324205199400000319940215<NA>3폐업03폐업19991109<NA><NA><NA><NA><NA>153813서울특별시 금천구 독산동 296-16번지서울특별시 금천구 가산로 53 (독산동)<NA>백상2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>190804.003574441018.620016노래연습장업유통관련업<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>
83170000CDFF324205199400000419940524<NA>3폐업03폐업20020713<NA><NA><NA><NA><NA>153821서울특별시 금천구 독산동 1012-0번지서울특별시 금천구 시흥대로 398 (독산동)<NA>앵콜2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>190946.406293440804.12141노래연습장업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFF324205199400000519941025<NA>3폐업03폐업20020925<NA><NA><NA><NA><NA>153801서울특별시 금천구 가산동 148-29번지서울특별시 금천구 시흥대로153길 59 (가산동)<NA>OK2003-02-06 14:38:21I2018-08-31 23:59:59.0<NA>190630.735844441615.570205노래연습장업유통관련업0<NA><NA>0.000<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
3273170000CDFF324205201800000920181123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 286-8 지하1층서울특별시 금천구 시흥대로 406 (독산동)8576옥스코인노래연습장2020-07-16 17:00:23U2020-07-18 02:40:00.0<NA>190941.875019440840.345127노래연습장업유통관련업<NA>기타<NA>197.9<NA>1근린생활시설<NA><NA>19<NA>YY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
3283170000CDFF324205201900000120190515<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 884번지서울특별시 금천구 금하로 634 (시흥동)8628빈티지노래연습장2019-05-15 09:20:29I2019-05-17 02:20:47.0<NA>191227.120667439169.3598노래연습장업유통관련업<NA><NA><NA>99.0<NA>1근린생활시설<NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
3293170000CDFF324205201900000220190809<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 42-5번지서울특별시 금천구 벚꽃로38길 29, 지하1층 (가산동)8509넘버원 노래연습장2019-08-09 17:04:26I2019-08-11 02:22:09.0<NA>189707.807863442252.556978노래연습장업유통관련업<NA><NA><NA>230.0<NA>1<NA><NA><NA>8<NA>YY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3303170000CDFF324205201900000320191108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 145-15번지 가산동빌딩서울특별시 금천구 남부순환로108길 27, 가산동빌딩 지하1층 (가산동)8528옥토끼 코인노래연습장2019-11-08 17:43:20I2019-11-10 00:23:10.0<NA>190376.887344441719.096951노래연습장업유통관련업<NA><NA><NA>124.3<NA>1<NA><NA><NA>18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3313170000CDFF324205201900000420191224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 889-2서울특별시 금천구 시흥대로52길 51, 지하1층 (시흥동)8628온에어코인노래연습장2020-12-24 13:50:56U2020-12-26 02:40:00.0<NA>191237.492605439052.867261노래연습장업유통관련업<NA><NA><NA>188.56<NA><NA><NA><NA><NA>2118<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3323170000CDFF324205202000000120200130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 889-8 비즈메드빌딩서울특별시 금천구 시흥대로 214, 비즈메드빌딩 2층 (시흥동)8628노래야노래야 코인노래연습장 시흥사거리점2020-07-13 10:09:45U2020-07-15 02:40:00.0<NA>191234.143902438993.253765노래연습장업유통관련업<NA><NA><NA>107.85<NA><NA><NA><NA><NA>155YY<NA>Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3333170000CDFF32420520200000022020-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 911-14 동원빌딩서울특별시 금천구 금하로24길 9, 동원빌딩 3층 (시흥동)8644동원노래방2023-12-18 10:43:30U2022-11-01 22:00:00.0<NA>191852.169936438713.654358<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3343170000CDFF324205202100000120210803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 124-10서울특별시 금천구 시흥대로71길 44, 지층 (시흥동)8614탑 노래연습장2021-12-31 15:45:01U2022-01-02 02:40:00.0<NA>191031.986588439209.588199노래연습장업유통관련업0<NA><NA>231.000<NA>1.6080YYY<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
3353170000CDFF32420520220000012022-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1043-16서울특별시 금천구 독산로 181, 2층 (독산동)8618텐코인 코인노래연습장2023-04-26 11:23:48U2022-12-03 22:08:00.0<NA>191384.924722440139.928421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3363170000CDFF32420520230000012023-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1156 금천롯데캐슬골드파크4차서울특별시 금천구 시흥대로 315, 금천롯데캐슬골드파크4차 (독산동)8608ㅇㄴㄷ2023-07-29 10:43:11I2022-12-06 21:01:00.0<NA>190799.832999439885.941303<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>