Overview

Dataset statistics

Number of variables56
Number of observations295
Missing cells7938
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.9 KiB
Average record size in memory485.4 B

Variable types

Categorical18
Text6
DateTime4
Unsupported23
Numeric5

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-17869/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.9%)Imbalance
영업상태명 is highly imbalanced (51.9%)Imbalance
상세영업상태코드 is highly imbalanced (51.9%)Imbalance
상세영업상태명 is highly imbalanced (51.9%)Imbalance
주변환경명 is highly imbalanced (70.1%)Imbalance
지하층수 is highly imbalanced (68.2%)Imbalance
건물용도명 is highly imbalanced (71.2%)Imbalance
통로너비 is highly imbalanced (89.6%)Imbalance
조명시설조도 is highly imbalanced (89.6%)Imbalance
노래방실수 is highly imbalanced (89.6%)Imbalance
청소년실수 is highly imbalanced (89.6%)Imbalance
총게임기수 is highly imbalanced (89.6%)Imbalance
지역구분명 is highly imbalanced (72.7%)Imbalance
인허가취소일자 has 295 (100.0%) missing valuesMissing
폐업일자 has 232 (78.6%) missing valuesMissing
휴업시작일자 has 295 (100.0%) missing valuesMissing
휴업종료일자 has 295 (100.0%) missing valuesMissing
재개업일자 has 295 (100.0%) missing valuesMissing
전화번호 has 108 (36.6%) missing valuesMissing
소재지면적 has 295 (100.0%) missing valuesMissing
도로명주소 has 4 (1.4%) missing valuesMissing
도로명우편번호 has 122 (41.4%) missing valuesMissing
업태구분명 has 295 (100.0%) missing valuesMissing
좌표정보(X) has 4 (1.4%) missing valuesMissing
좌표정보(Y) has 4 (1.4%) missing valuesMissing
총층수 has 251 (85.1%) missing valuesMissing
제작취급품목내용 has 295 (100.0%) missing valuesMissing
시설면적 has 189 (64.1%) missing valuesMissing
지상층수 has 239 (81.0%) missing valuesMissing
비상계단여부 has 295 (100.0%) missing valuesMissing
비상구여부 has 295 (100.0%) missing valuesMissing
자동환기여부 has 295 (100.0%) missing valuesMissing
청소년실여부 has 295 (100.0%) missing valuesMissing
특수조명여부 has 295 (100.0%) missing valuesMissing
방음시설여부 has 295 (100.0%) missing valuesMissing
비디오재생기명 has 295 (100.0%) missing valuesMissing
조명시설유무 has 295 (100.0%) missing valuesMissing
음향시설여부 has 295 (100.0%) missing valuesMissing
편의시설여부 has 295 (100.0%) missing valuesMissing
소방시설여부 has 295 (100.0%) missing valuesMissing
기존게임업외업종명 has 295 (100.0%) missing valuesMissing
제공게임물명 has 295 (100.0%) missing valuesMissing
공연장형태구분명 has 295 (100.0%) missing valuesMissing
품목명 has 295 (100.0%) missing valuesMissing
최초등록시점 has 295 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 10 (3.4%) zerosZeros
시설면적 has 18 (6.1%) zerosZeros
지상층수 has 10 (3.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:31:56.915687
Analysis finished2024-05-11 06:31:57.937258
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3170000
295 

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 295
100.0%

Length

2024-05-11T15:31:58.023389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:58.154559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 295
100.0%

관리번호
Text

UNIQUE 

Distinct295
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T15:31:58.380370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5900
Distinct characters14
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

Unique295 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001954000001
2nd rowCDFG1252001975000001
3rd rowCDFG1252001976000001
4th rowCDFG1252001980000001
5th rowCDFG1252001984000001
ValueCountFrequency (%)
cdfg1252001954000001 1
 
0.3%
cdfg1252002016000015 1
 
0.3%
cdfg1252002015000011 1
 
0.3%
cdfg1252002015000010 1
 
0.3%
cdfg1252002015000009 1
 
0.3%
cdfg1252002015000008 1
 
0.3%
cdfg1252002015000007 1
 
0.3%
cdfg1252002015000006 1
 
0.3%
cdfg1252002015000004 1
 
0.3%
cdfg1252002015000003 1
 
0.3%
Other values (285) 285
96.6%
2024-05-11T15:31:58.989793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2402
40.7%
2 984
16.7%
1 612
 
10.4%
5 361
 
6.1%
C 295
 
5.0%
D 295
 
5.0%
F 295
 
5.0%
G 295
 
5.0%
9 80
 
1.4%
3 72
 
1.2%
Other values (4) 209
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4720
80.0%
Uppercase Letter 1180
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2402
50.9%
2 984
20.8%
1 612
 
13.0%
5 361
 
7.6%
9 80
 
1.7%
3 72
 
1.5%
8 57
 
1.2%
4 55
 
1.2%
6 53
 
1.1%
7 44
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 295
25.0%
D 295
25.0%
F 295
25.0%
G 295
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4720
80.0%
Latin 1180
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2402
50.9%
2 984
20.8%
1 612
 
13.0%
5 361
 
7.6%
9 80
 
1.7%
3 72
 
1.5%
8 57
 
1.2%
4 55
 
1.2%
6 53
 
1.1%
7 44
 
0.9%
Latin
ValueCountFrequency (%)
C 295
25.0%
D 295
25.0%
F 295
25.0%
G 295
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2402
40.7%
2 984
16.7%
1 612
 
10.4%
5 361
 
6.1%
C 295
 
5.0%
D 295
 
5.0%
F 295
 
5.0%
G 295
 
5.0%
9 80
 
1.4%
3 72
 
1.2%
Other values (4) 209
 
3.5%

인허가일자
Date

Distinct286
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1954-07-31 00:00:00
Maximum2024-02-13 00:00:00
2024-05-11T15:31:59.239526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:59.426309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
1
224 
3
61 
4
 
8
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 224
75.9%
3 61
 
20.7%
4 8
 
2.7%
5 2
 
0.7%

Length

2024-05-11T15:31:59.603563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:59.748809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 224
75.9%
3 61
 
20.7%
4 8
 
2.7%
5 2
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업/정상
224 
폐업
61 
취소/말소/만료/정지/중지
 
8
제외/삭제/전출
 
2

Length

Max length14
Median length5
Mean length4.6440678
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 224
75.9%
폐업 61
 
20.7%
취소/말소/만료/정지/중지 8
 
2.7%
제외/삭제/전출 2
 
0.7%

Length

2024-05-11T15:31:59.935344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:00.108796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 224
75.9%
폐업 61
 
20.7%
취소/말소/만료/정지/중지 8
 
2.7%
제외/삭제/전출 2
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
13
224 
3
61 
31
 
8
15
 
2

Length

Max length2
Median length2
Mean length1.7932203
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 224
75.9%
3 61
 
20.7%
31 8
 
2.7%
15 2
 
0.7%

Length

2024-05-11T15:32:00.270081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:00.424821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 224
75.9%
3 61
 
20.7%
31 8
 
2.7%
15 2
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업중
224 
폐업
61 
등록취소
 
8
전출
 
2

Length

Max length4
Median length3
Mean length2.8135593
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 224
75.9%
폐업 61
 
20.7%
등록취소 8
 
2.7%
전출 2
 
0.7%

Length

2024-05-11T15:32:00.617049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:00.816030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 224
75.9%
폐업 61
 
20.7%
등록취소 8
 
2.7%
전출 2
 
0.7%

폐업일자
Date

MISSING 

Distinct59
Distinct (%)93.7%
Missing232
Missing (%)78.6%
Memory size2.4 KiB
Minimum1997-07-22 00:00:00
Maximum2024-03-07 00:00:00
2024-05-11T15:32:01.053643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:01.257686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct180
Distinct (%)96.3%
Missing108
Missing (%)36.6%
Memory size2.4 KiB
2024-05-11T15:32:01.712807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9197861
Min length1

Characters and Unicode

Total characters1855
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)93.0%

Sample

1st row855-9551
2nd row862-0001
3rd row818-7777
4th row859-2011
5th row892-0275
ValueCountFrequency (%)
0 3
 
1.6%
02-516-7368 2
 
1.1%
02-811-3867 2
 
1.1%
02-3667-1012 2
 
1.1%
02-2272-0307 2
 
1.1%
855-9551 2
 
1.1%
02-6241-3300 1
 
0.5%
02-2624-0800 1
 
0.5%
02-2231-6402 1
 
0.5%
02-869-3861 1
 
0.5%
Other values (170) 170
90.9%
2024-05-11T15:32:02.369261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 270
14.6%
0 257
13.9%
2 248
13.4%
8 201
10.8%
6 166
8.9%
1 154
8.3%
7 127
6.8%
3 124
6.7%
5 118
6.4%
4 108
 
5.8%
Other values (2) 82
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1580
85.2%
Dash Punctuation 270
 
14.6%
Close Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
16.3%
2 248
15.7%
8 201
12.7%
6 166
10.5%
1 154
9.7%
7 127
8.0%
3 124
7.8%
5 118
7.5%
4 108
6.8%
9 77
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1855
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 270
14.6%
0 257
13.9%
2 248
13.4%
8 201
10.8%
6 166
8.9%
1 154
8.3%
7 127
6.8%
3 124
6.7%
5 118
6.4%
4 108
 
5.8%
Other values (2) 82
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1855
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 270
14.6%
0 257
13.9%
2 248
13.4%
8 201
10.8%
6 166
8.9%
1 154
8.3%
7 127
6.8%
3 124
6.7%
5 118
6.4%
4 108
 
5.8%
Other values (2) 82
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

소재지우편번호
Categorical

Distinct37
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
118 
153803
50 
153802
37 
153828
12 
153801
 
11
Other values (32)
67 

Length

Max length7
Median length6
Mean length5.2067797
Min length4

Unique

Unique18 ?
Unique (%)6.1%

Sample

1st row153802
2nd row153801
3rd row153812
4th row153-814
5th row153803

Common Values

ValueCountFrequency (%)
<NA> 118
40.0%
153803 50
16.9%
153802 37
 
12.5%
153828 12
 
4.1%
153801 11
 
3.7%
153813 10
 
3.4%
153023 7
 
2.4%
153814 5
 
1.7%
153779 4
 
1.4%
153768 4
 
1.4%
Other values (27) 37
 
12.5%

Length

2024-05-11T15:32:02.915725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 118
40.0%
153803 50
16.9%
153802 37
 
12.5%
153828 12
 
4.1%
153801 11
 
3.7%
153813 10
 
3.4%
153023 7
 
2.4%
153814 5
 
1.7%
153779 4
 
1.4%
153768 4
 
1.4%
Other values (27) 37
 
12.5%

지번주소
Text

Distinct167
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T15:32:03.238203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length28.722034
Min length17

Characters and Unicode

Total characters8473
Distinct characters168
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)46.4%

Sample

1st row서울특별시 금천구 가산동 ***-**번지
2nd row서울특별시 금천구 가산동 **-*번지
3rd row서울특별시 금천구 독산동 ***-**번지
4th row서울특별시 금천구 독산동 ***-**
5th row서울특별시 금천구 가산동 ***-**번지 대륭테크노타워 *차 ***호
ValueCountFrequency (%)
서울특별시 294
19.5%
금천구 294
19.5%
가산동 236
15.6%
번지 225
14.9%
호 90
 
6.0%
70
 
4.6%
독산동 45
 
3.0%
대륭테크노타운*차 15
 
1.0%
시흥동 13
 
0.9%
층 10
 
0.7%
Other values (105) 217
14.4%
2024-05-11T15:32:03.757036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1739
20.5%
1369
16.2%
동 320
 
3.8%
산 315
 
3.7%
시 313
 
3.7%
서 297
 
3.5%
구 295
 
3.5%
울 294
 
3.5%
천 294
 
3.5%
금 294
 
3.5%
Other values (158) 2943
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4955
58.5%
Other Punctuation 1748
 
20.6%
Space Separator 1369
 
16.2%
Dash Punctuation 273
 
3.2%
Uppercase Letter 112
 
1.3%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 320
 
6.5%
산 315
 
6.4%
시 313
 
6.3%
서 297
 
6.0%
구 295
 
6.0%
울 294
 
5.9%
천 294
 
5.9%
금 294
 
5.9%
별 294
 
5.9%
특 294
 
5.9%
Other values (132) 1945
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 20
17.9%
T 15
13.4%
I 12
10.7%
S 12
10.7%
A 7
 
6.2%
K 7
 
6.2%
C 7
 
6.2%
H 6
 
5.4%
Y 6
 
5.4%
X 5
 
4.5%
Other values (8) 15
13.4%
Other Punctuation
ValueCountFrequency (%)
* 1739
99.5%
, 9
 
0.5%
Space Separator
ValueCountFrequency (%)
1369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4955
58.5%
Common 3405
40.2%
Latin 113
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 320
 
6.5%
산 315
 
6.4%
시 313
 
6.3%
서 297
 
6.0%
구 295
 
6.0%
울 294
 
5.9%
천 294
 
5.9%
금 294
 
5.9%
별 294
 
5.9%
특 294
 
5.9%
Other values (132) 1945
39.3%
Latin
ValueCountFrequency (%)
B 20
17.7%
T 15
13.3%
I 12
10.6%
S 12
10.6%
A 7
 
6.2%
K 7
 
6.2%
C 7
 
6.2%
H 6
 
5.3%
Y 6
 
5.3%
X 5
 
4.4%
Other values (9) 16
14.2%
Common
ValueCountFrequency (%)
* 1739
51.1%
1369
40.2%
- 273
 
8.0%
, 9
 
0.3%
( 7
 
0.2%
) 7
 
0.2%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4955
58.5%
ASCII 3518
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1739
49.4%
1369
38.9%
- 273
 
7.8%
B 20
 
0.6%
T 15
 
0.4%
I 12
 
0.3%
S 12
 
0.3%
, 9
 
0.3%
A 7
 
0.2%
K 7
 
0.2%
Other values (16) 55
 
1.6%
Hangul
ValueCountFrequency (%)
동 320
 
6.5%
산 315
 
6.4%
시 313
 
6.3%
서 297
 
6.0%
구 295
 
6.0%
울 294
 
5.9%
천 294
 
5.9%
금 294
 
5.9%
별 294
 
5.9%
특 294
 
5.9%
Other values (132) 1945
39.3%

도로명주소
Text

MISSING 

Distinct202
Distinct (%)69.4%
Missing4
Missing (%)1.4%
Memory size2.4 KiB
2024-05-11T15:32:04.013373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length36.439863
Min length22

Characters and Unicode

Total characters10604
Distinct characters178
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)57.7%

Sample

1st row서울특별시 금천구 가산디지털*로 **-** (가산동)
2nd row서울특별시 금천구 디지털로*길 ** (가산동)
3rd row서울특별시 금천구 두산로 ** (독산동)
4th row서울특별시 금천구 가마산로 ** (가산동,대륭테크노타워 *차 ***호)
5th row서울특별시 금천구 가산디지털*로 ** (가산동)
ValueCountFrequency (%)
298
16.0%
서울특별시 291
15.6%
금천구 291
15.6%
가산동 209
11.2%
가산디지털*로 165
8.8%
호 141
 
7.5%
독산동 41
 
2.2%
층 25
 
1.3%
서부샛길 19
 
1.0%
대륭테크노타운*차 13
 
0.7%
Other values (150) 375
20.1%
2024-05-11T15:32:04.491211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1768
16.7%
1679
 
15.8%
산 506
 
4.8%
가 427
 
4.0%
동 326
 
3.1%
시 324
 
3.1%
서 313
 
3.0%
( 298
 
2.8%
) 298
 
2.8%
구 291
 
2.7%
Other values (168) 4374
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6093
57.5%
Other Punctuation 2051
 
19.3%
Space Separator 1679
 
15.8%
Open Punctuation 298
 
2.8%
Close Punctuation 298
 
2.8%
Uppercase Letter 129
 
1.2%
Dash Punctuation 48
 
0.5%
Math Symbol 6
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 506
 
8.3%
가 427
 
7.0%
동 326
 
5.4%
시 324
 
5.3%
서 313
 
5.1%
구 291
 
4.8%
금 291
 
4.8%
별 291
 
4.8%
특 291
 
4.8%
울 291
 
4.8%
Other values (142) 2742
45.0%
Uppercase Letter
ValueCountFrequency (%)
B 34
26.4%
T 15
11.6%
I 12
 
9.3%
S 12
 
9.3%
A 10
 
7.8%
K 7
 
5.4%
C 7
 
5.4%
Y 6
 
4.7%
H 6
 
4.7%
V 5
 
3.9%
Other values (8) 15
11.6%
Other Punctuation
ValueCountFrequency (%)
* 1768
86.2%
, 283
 
13.8%
Space Separator
ValueCountFrequency (%)
1679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6093
57.5%
Common 4380
41.3%
Latin 131
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 506
 
8.3%
가 427
 
7.0%
동 326
 
5.4%
시 324
 
5.3%
서 313
 
5.1%
구 291
 
4.8%
금 291
 
4.8%
별 291
 
4.8%
특 291
 
4.8%
울 291
 
4.8%
Other values (142) 2742
45.0%
Latin
ValueCountFrequency (%)
B 34
26.0%
T 15
11.5%
I 12
 
9.2%
S 12
 
9.2%
A 10
 
7.6%
K 7
 
5.3%
C 7
 
5.3%
Y 6
 
4.6%
H 6
 
4.6%
V 5
 
3.8%
Other values (9) 17
13.0%
Common
ValueCountFrequency (%)
* 1768
40.4%
1679
38.3%
( 298
 
6.8%
) 298
 
6.8%
, 283
 
6.5%
- 48
 
1.1%
~ 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6093
57.5%
ASCII 4511
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1768
39.2%
1679
37.2%
( 298
 
6.6%
) 298
 
6.6%
, 283
 
6.3%
- 48
 
1.1%
B 34
 
0.8%
T 15
 
0.3%
I 12
 
0.3%
S 12
 
0.3%
Other values (16) 64
 
1.4%
Hangul
ValueCountFrequency (%)
산 506
 
8.3%
가 427
 
7.0%
동 326
 
5.4%
시 324
 
5.3%
서 313
 
5.1%
구 291
 
4.8%
금 291
 
4.8%
별 291
 
4.8%
특 291
 
4.8%
울 291
 
4.8%
Other values (142) 2742
45.0%

도로명우편번호
Text

MISSING 

Distinct57
Distinct (%)32.9%
Missing122
Missing (%)41.4%
Memory size2.4 KiB
2024-05-11T15:32:04.778130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3294798
Min length5

Characters and Unicode

Total characters922
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

Unique23 ?
Unique (%)13.3%

Sample

1st row153802
2nd row153813
3rd row153813
4th row153023
5th row153813
ValueCountFrequency (%)
153803 11
 
6.4%
08591 10
 
5.8%
08503 9
 
5.2%
08501 9
 
5.2%
08505 7
 
4.0%
08504 7
 
4.0%
153802 6
 
3.5%
08506 6
 
3.5%
08589 6
 
3.5%
08594 5
 
2.9%
Other values (47) 97
56.1%
2024-05-11T15:32:05.233012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 205
22.2%
5 182
19.7%
8 171
18.5%
1 107
11.6%
3 96
10.4%
7 43
 
4.7%
9 41
 
4.4%
2 34
 
3.7%
6 23
 
2.5%
4 19
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 921
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 205
22.3%
5 182
19.8%
8 171
18.6%
1 107
11.6%
3 96
10.4%
7 43
 
4.7%
9 41
 
4.5%
2 34
 
3.7%
6 23
 
2.5%
4 19
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 922
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 205
22.2%
5 182
19.7%
8 171
18.5%
1 107
11.6%
3 96
10.4%
7 43
 
4.7%
9 41
 
4.4%
2 34
 
3.7%
6 23
 
2.5%
4 19
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 205
22.2%
5 182
19.7%
8 171
18.5%
1 107
11.6%
3 96
10.4%
7 43
 
4.7%
9 41
 
4.4%
2 34
 
3.7%
6 23
 
2.5%
4 19
 
2.1%

사업장명
Text

Distinct285
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T15:32:05.515767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length7.3254237
Min length2

Characters and Unicode

Total characters2161
Distinct characters299
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)93.2%

Sample

1st row(주)삼보에어팩
2nd row(주)성인문화사
3rd row동아교과서(주)
4th row무극사
5th row대명아이티에스 주식회사
ValueCountFrequency (%)
주식회사 29
 
8.4%
주)동진특수지 2
 
0.6%
주)네오누리콤 2
 
0.6%
모아프린팅 2
 
0.6%
주)스카이프린팅 2
 
0.6%
주)경향신문사 2
 
0.6%
주)학천애드 2
 
0.6%
커뮤니케이션 2
 
0.6%
동진특수인쇄 2
 
0.6%
베스트디자인 2
 
0.6%
Other values (295) 297
86.3%
2024-05-11T15:32:05.944712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 150
 
6.9%
( 128
 
5.9%
) 128
 
5.9%
인 76
 
3.5%
사 66
 
3.1%
이 61
 
2.8%
49
 
2.3%
스 47
 
2.2%
디 44
 
2.0%
회 39
 
1.8%
Other values (289) 1373
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1805
83.5%
Open Punctuation 128
 
5.9%
Close Punctuation 128
 
5.9%
Space Separator 49
 
2.3%
Uppercase Letter 31
 
1.4%
Lowercase Letter 14
 
0.6%
Other Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 150
 
8.3%
인 76
 
4.2%
사 66
 
3.7%
이 61
 
3.4%
스 47
 
2.6%
디 44
 
2.4%
회 39
 
2.2%
쇄 39
 
2.2%
프 36
 
2.0%
식 32
 
1.8%
Other values (254) 1215
67.3%
Uppercase Letter
ValueCountFrequency (%)
P 4
12.9%
E 3
9.7%
O 3
9.7%
J 2
 
6.5%
M 2
 
6.5%
T 2
 
6.5%
A 2
 
6.5%
H 2
 
6.5%
D 2
 
6.5%
S 2
 
6.5%
Other values (7) 7
22.6%
Lowercase Letter
ValueCountFrequency (%)
u 2
14.3%
d 2
14.3%
o 2
14.3%
m 2
14.3%
l 1
7.1%
y 1
7.1%
a 1
7.1%
j 1
7.1%
i 1
7.1%
t 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1806
83.6%
Common 310
 
14.3%
Latin 45
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 150
 
8.3%
인 76
 
4.2%
사 66
 
3.7%
이 61
 
3.4%
스 47
 
2.6%
디 44
 
2.4%
회 39
 
2.2%
쇄 39
 
2.2%
프 36
 
2.0%
식 32
 
1.8%
Other values (255) 1216
67.3%
Latin
ValueCountFrequency (%)
P 4
 
8.9%
E 3
 
6.7%
O 3
 
6.7%
u 2
 
4.4%
J 2
 
4.4%
M 2
 
4.4%
T 2
 
4.4%
A 2
 
4.4%
d 2
 
4.4%
o 2
 
4.4%
Other values (17) 21
46.7%
Common
ValueCountFrequency (%)
( 128
41.3%
) 128
41.3%
49
 
15.8%
. 2
 
0.6%
2 1
 
0.3%
3 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1804
83.5%
ASCII 355
 
16.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 150
 
8.3%
인 76
 
4.2%
사 66
 
3.7%
이 61
 
3.4%
스 47
 
2.6%
디 44
 
2.4%
회 39
 
2.2%
쇄 39
 
2.2%
프 36
 
2.0%
식 32
 
1.8%
Other values (253) 1214
67.3%
ASCII
ValueCountFrequency (%)
( 128
36.1%
) 128
36.1%
49
 
13.8%
P 4
 
1.1%
E 3
 
0.8%
O 3
 
0.8%
u 2
 
0.6%
. 2
 
0.6%
J 2
 
0.6%
M 2
 
0.6%
Other values (24) 32
 
9.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

Distinct286
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2003-02-06 15:09:24
Maximum2024-04-01 13:51:43
2024-05-11T15:32:06.115436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:06.288434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
I
239 
U
56 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 239
81.0%
U 56
 
19.0%

Length

2024-05-11T15:32:06.447959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:06.575330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 239
81.0%
u 56
 
19.0%

데이터갱신일자
Date

Distinct101
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T15:32:06.723986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:32:06.891994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)47.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean189775.04
Minimum188869.73
Maximum191879.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T15:32:07.063856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188869.73
5-th percentile189072.53
Q1189378.33
median189669.32
Q3190027.53
95-th percentile190730.72
Maximum191879.65
Range3009.9242
Interquartile range (IQR)649.20144

Descriptive statistics

Standard deviation533.54734
Coefficient of variation (CV)0.0028114726
Kurtosis1.7027593
Mean189775.04
Median Absolute Deviation (MAD)313.02773
Skewness1.1422369
Sum55224538
Variance284672.76
MonotonicityNot monotonic
2024-05-11T15:32:07.233394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189881.714656576 8
 
2.7%
190217.190484019 7
 
2.4%
189603.222916543 7
 
2.4%
189647.046752134 7
 
2.4%
190128.285669097 6
 
2.0%
189538.020935968 6
 
2.0%
189586.505466234 6
 
2.0%
190694.880295092 5
 
1.7%
189089.927764903 5
 
1.7%
189417.708595762 5
 
1.7%
Other values (127) 229
77.6%
ValueCountFrequency (%)
188869.728136486 1
 
0.3%
188903.803869684 2
 
0.7%
188968.189711073 5
1.7%
188979.225789508 1
 
0.3%
189016.465808265 1
 
0.3%
189031.670933573 2
 
0.7%
189055.138252216 3
1.0%
189089.927764903 5
1.7%
189092.729912585 1
 
0.3%
189127.981104583 1
 
0.3%
ValueCountFrequency (%)
191879.652321469 1
 
0.3%
191439.550209393 1
 
0.3%
191410.99980985 1
 
0.3%
191370.837718461 2
0.7%
191351.141109721 1
 
0.3%
191271.785022588 2
0.7%
191257.638613401 1
 
0.3%
191236.293622432 1
 
0.3%
191226.287379467 3
1.0%
190768.780140562 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)47.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean441332.17
Minimum437250.54
Maximum442636.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T15:32:07.402872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437250.54
5-th percentile440380.32
Q1440867.96
median441398.75
Q3441933.51
95-th percentile442469.43
Maximum442636.32
Range5385.7847
Interquartile range (IQR)1065.5491

Descriptive statistics

Standard deviation876.50914
Coefficient of variation (CV)0.0019860531
Kurtosis5.8090201
Mean441332.17
Median Absolute Deviation (MAD)532.31132
Skewness-1.8154214
Sum1.2842766 × 108
Variance768268.27
MonotonicityNot monotonic
2024-05-11T15:32:07.573226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441010.052948731 8
 
2.7%
440656.871486963 7
 
2.4%
441801.135064157 7
 
2.4%
441677.096205358 7
 
2.4%
440774.029815145 6
 
2.0%
441982.427934953 6
 
2.0%
441101.917588093 6
 
2.0%
440764.426277932 5
 
1.7%
442569.300676147 5
 
1.7%
442309.174987731 5
 
1.7%
Other values (127) 229
77.6%
ValueCountFrequency (%)
437250.535423089 2
0.7%
437560.573323753 1
 
0.3%
437872.700127002 1
 
0.3%
437914.06299827 3
1.0%
439105.173693412 1
 
0.3%
439290.681067768 1
 
0.3%
439322.42742435 1
 
0.3%
439371.668263016 2
0.7%
440363.954453659 2
0.7%
440380.321629567 2
0.7%
ValueCountFrequency (%)
442636.320100968 1
 
0.3%
442585.933234852 3
1.0%
442569.300676147 5
1.7%
442523.612553394 1
 
0.3%
442493.020182986 2
 
0.7%
442478.356256941 3
1.0%
442460.505542105 1
 
0.3%
442417.955057116 1
 
0.3%
442382.690694868 3
1.0%
442378.911132657 2
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
인쇄사
252 
<NA>
43 

Length

Max length4
Median length3
Mean length3.1457627
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 252
85.4%
<NA> 43
 
14.6%

Length

2024-05-11T15:32:07.828790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:07.991983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 252
85.4%
na 43
 
14.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
출판인쇄업
252 
<NA>
43 

Length

Max length5
Median length5
Mean length4.8542373
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 252
85.4%
<NA> 43
 
14.6%

Length

2024-05-11T15:32:08.200993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:08.339409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 252
85.4%
na 43
 
14.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)27.3%
Missing251
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean3.9772727
Minimum0
Maximum16
Zeros10
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T15:32:08.450996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35
95-th percentile13.1
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7940506
Coefficient of variation (CV)0.95393273
Kurtosis3.1175702
Mean3.9772727
Median Absolute Deviation (MAD)2
Skewness1.5841676
Sum175
Variance14.39482
MonotonicityNot monotonic
2024-05-11T15:32:08.620418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
 
3.4%
4 9
 
3.1%
5 8
 
2.7%
2 4
 
1.4%
3 3
 
1.0%
1 2
 
0.7%
8 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
15 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 251
85.1%
ValueCountFrequency (%)
0 10
3.4%
1 2
 
0.7%
2 4
 
1.4%
3 3
 
1.0%
4 9
3.1%
5 8
2.7%
6 2
 
0.7%
7 1
 
0.3%
8 2
 
0.7%
14 1
 
0.3%
ValueCountFrequency (%)
16 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
8 2
 
0.7%
7 1
 
0.3%
6 2
 
0.7%
5 8
2.7%
4 9
3.1%
3 3
 
1.0%
2 4
1.4%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
267 
기타
27 
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.8305085
Min length2

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> 267
90.5%
기타 27
 
9.2%
유흥업소밀집지역 1
 
0.3%

Length

2024-05-11T15:32:08.816923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:08.943131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 267
90.5%
기타 27
 
9.2%
유흥업소밀집지역 1
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)82.1%
Missing189
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean2934.4156
Minimum0
Maximum274397
Zeros18
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T15:32:09.087920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.495
median102.855
Q3270.5575
95-th percentile2540.1225
Maximum274397
Range274397
Interquartile range (IQR)244.0625

Descriptive statistics

Standard deviation26630.305
Coefficient of variation (CV)9.0751648
Kurtosis105.79673
Mean2934.4156
Median Absolute Deviation (MAD)96.575
Skewness10.28108
Sum311048.05
Variance7.0917313 × 108
MonotonicityNot monotonic
2024-05-11T15:32:09.276424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
6.1%
50.0 2
 
0.7%
66.0 2
 
0.7%
168.0 1
 
0.3%
77.35 1
 
0.3%
58.09 1
 
0.3%
77.96 1
 
0.3%
104.35 1
 
0.3%
115.0 1
 
0.3%
28.81 1
 
0.3%
Other values (77) 77
26.1%
(Missing) 189
64.1%
ValueCountFrequency (%)
0.0 18
6.1%
2.56 1
 
0.3%
10.0 1
 
0.3%
15.0 1
 
0.3%
15.1 1
 
0.3%
16.5 1
 
0.3%
16.53 1
 
0.3%
20.0 1
 
0.3%
22.86 1
 
0.3%
26.4 1
 
0.3%
ValueCountFrequency (%)
274397.0 1
0.3%
5397.0 1
0.3%
4171.4 1
0.3%
2887.0 1
0.3%
2864.0 1
0.3%
2849.74 1
0.3%
1611.27 1
0.3%
1384.0 1
0.3%
1157.0 1
0.3%
792.0 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)23.2%
Missing239
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum0
Maximum19
Zeros10
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T15:32:09.451925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile13.25
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.1789516
Coefficient of variation (CV)1.1143871
Kurtosis3.7007492
Mean3.75
Median Absolute Deviation (MAD)2
Skewness1.9592278
Sum210
Variance17.463636
MonotonicityNot monotonic
2024-05-11T15:32:09.620698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 12
 
4.1%
4 10
 
3.4%
0 10
 
3.4%
1 8
 
2.7%
2 5
 
1.7%
5 3
 
1.0%
13 2
 
0.7%
7 1
 
0.3%
14 1
 
0.3%
12 1
 
0.3%
Other values (3) 3
 
1.0%
(Missing) 239
81.0%
ValueCountFrequency (%)
0 10
3.4%
1 8
2.7%
2 5
1.7%
3 12
4.1%
4 10
3.4%
5 3
 
1.0%
7 1
 
0.3%
8 1
 
0.3%
12 1
 
0.3%
13 2
 
0.7%
ValueCountFrequency (%)
19 1
 
0.3%
15 1
 
0.3%
14 1
 
0.3%
13 2
 
0.7%
12 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 3
 
1.0%
4 10
3.4%
3 12
4.1%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
263 
1
 
19
0
 
10
2
 
3

Length

Max length4
Median length4
Mean length3.6745763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 263
89.2%
1 19
 
6.4%
0 10
 
3.4%
2 3
 
1.0%

Length

2024-05-11T15:32:09.901123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:10.157602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 263
89.2%
1 19
 
6.4%
0 10
 
3.4%
2 3
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
263 
근린생활시설
 
17
기타
 
7
사무실
 
7
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.0813559
Min length2

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> 263
89.2%
근린생활시설 17
 
5.8%
기타 7
 
2.4%
사무실 7
 
2.4%
다가구용 주택(공동주택적용) 1
 
0.3%

Length

2024-05-11T15:32:10.373263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:10.562721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 263
88.9%
근린생활시설 17
 
5.7%
기타 7
 
2.4%
사무실 7
 
2.4%
다가구용 1
 
0.3%
주택(공동주택적용 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
291 
0
 
4

Length

Max length4
Median length4
Mean length3.959322
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> 291
98.6%
0 4
 
1.4%

Length

2024-05-11T15:32:10.709100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:10.858975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
98.6%
0 4
 
1.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
291 
0
 
4

Length

Max length4
Median length4
Mean length3.959322
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> 291
98.6%
0 4
 
1.4%

Length

2024-05-11T15:32:10.988485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:11.141774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
98.6%
0 4
 
1.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
291 
0
 
4

Length

Max length4
Median length4
Mean length3.959322
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> 291
98.6%
0 4
 
1.4%

Length

2024-05-11T15:32:11.287318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:11.411167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
98.6%
0 4
 
1.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
291 
0
 
4

Length

Max length4
Median length4
Mean length3.959322
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> 291
98.6%
0 4
 
1.4%

Length

2024-05-11T15:32:11.567061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:11.712721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
98.6%
0 4
 
1.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
291 
0
 
4

Length

Max length4
Median length4
Mean length3.959322
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> 291
98.6%
0 4
 
1.4%

Length

2024-05-11T15:32:11.859707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:12.017613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
98.6%
0 4
 
1.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing295
Missing (%)100.0%
Memory size2.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
254 
준공업지역
 
24
상업지역
 
4
공업지역
 
4
일반공업지역
 
3
Other values (4)
 
6

Length

Max length6
Median length4
Mean length4.1322034
Min length4

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 254
86.1%
준공업지역 24
 
8.1%
상업지역 4
 
1.4%
공업지역 4
 
1.4%
일반공업지역 3
 
1.0%
준주거지역 3
 
1.0%
근린상업지역 1
 
0.3%
일반주거지역 1
 
0.3%
생산녹지지역 1
 
0.3%

Length

2024-05-11T15:32:12.175897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:32:12.682560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 254
86.1%
준공업지역 24
 
8.1%
상업지역 4
 
1.4%
공업지역 4
 
1.4%
일반공업지역 3
 
1.0%
준주거지역 3
 
1.0%
근린상업지역 1
 
0.3%
일반주거지역 1
 
0.3%
생산녹지지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFG125200195400000119540731<NA>1영업/정상13영업중<NA><NA><NA><NA>855-9551<NA>153802서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 가산디지털*로 **-** (가산동)<NA>(주)삼보에어팩2007-12-10 15:26:21I2018-08-31 23:59:59.0<NA>189678.284549441134.74775인쇄사출판인쇄업5<NA><NA><NA>41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
13170000CDFG125200197500000119750312<NA>3폐업3폐업19971206<NA><NA><NA><NA><NA>153801서울특별시 금천구 가산동 **-*번지서울특별시 금천구 디지털로*길 ** (가산동)<NA>(주)성인문화사2003-02-06 15:09:24I2018-08-31 23:59:59.0<NA>189917.493331442031.656022인쇄사출판인쇄업<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>
23170000CDFG125200197600000119760702<NA>3폐업3폐업19970722<NA><NA><NA><NA><NA>153812서울특별시 금천구 독산동 ***-**번지<NA><NA>동아교과서(주)2003-02-06 15:09:24I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<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>
33170000CDFG12520019800000011980-01-12<NA>3폐업3폐업2023-03-16<NA><NA><NA>862-0001<NA>153-814서울특별시 금천구 독산동 ***-**서울특별시 금천구 두산로 ** (독산동)<NA>무극사2023-03-16 17:40:11U2022-12-02 23:08:00.0<NA>190320.879302440950.83861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFG125200198400000119840107<NA>1영업/정상13영업중<NA><NA><NA><NA>818-7777<NA>153803서울특별시 금천구 가산동 ***-**번지 대륭테크노타워 *차 ***호서울특별시 금천구 가마산로 ** (가산동,대륭테크노타워 *차 ***호)<NA>대명아이티에스 주식회사2020-01-31 09:09:44U2020-02-02 02:40:00.0<NA>189089.927765442569.300676인쇄사출판인쇄업<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>
53170000CDFG125200198900000119890612<NA>1영업/정상13영업중<NA><NA><NA><NA>859-2011<NA>153802서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산디지털*로 ** (가산동)153802(주)교학사2018-11-05 17:59:45U2018-11-07 02:36:35.0<NA>189930.037679440869.484039인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFG125200199400000419941128<NA>1영업/정상13영업중<NA><NA><NA><NA>892-0275<NA>153829서울특별시 금천구 독산동 ****-**번지서울특별시 금천구 벚꽃로**길 ** (독산동)<NA>청림인쇄문화사2007-12-10 15:29:14I2018-08-31 23:59:59.0<NA>190305.704617440407.205225인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFG125200199600000119960704<NA>3폐업3폐업20140828<NA><NA><NA>838-8114<NA>153802서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 가산디지털*로 **-** (가산동)<NA>양정인쇄(주)2014-09-01 08:42:31I2018-08-31 23:59:59.0<NA>189635.889075441119.767302인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFG125200199600000219960808<NA>1영업/정상13영업중<NA><NA><NA><NA>852-0996<NA>153802서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>광산문화사2007-12-10 15:30:03I2018-08-31 23:59:59.0<NA>189647.013851441299.303727인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFG125200199700000319970926<NA>1영업/정상13영업중<NA><NA><NA><NA>851-6631<NA>153801서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 디지털로**길 ** (가산동)<NA>기승인쇄2007-12-10 15:31:18I2018-08-31 23:59:59.0<NA>190238.375081441662.917455인쇄사출판인쇄업<NA><NA><NA><NA><NA><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
2853170000CDFG12520020230000072023-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 가산 하우스디 와이즈타워서울특별시 금천구 가산디지털*로 **-**, 가산 하우스디 와이즈타워 ***호 (가산동)08592지엠 JET2023-05-12 11:19:50I2022-12-04 23:04:00.0<NA>189678.284549441134.74775<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2863170000CDFG12520020230000092023-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6952-3345<NA><NA>서울특별시 금천구 가산동 ***-** 에이스 K*타워서울특별시 금천구 가산디지털*로 ***, 에이스 K*타워 ***호 (가산동)08503주식회사 플랜엑스2023-06-26 15:54:13I2022-12-05 22:08:00.0<NA>189158.740846442283.977343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2873170000CDFG12520020230000102023-07-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2272-0307<NA><NA>서울특별시 금천구 가산동 ***-** 한국전자협동(주)서울특별시 금천구 가산디지털*로 ***, 에이동 ***호 (가산동)08506(사)한국장애인이워크협회일자리사업장2023-07-25 08:55:51I2022-12-06 22:07:00.0<NA>189356.918965441815.713741<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2883170000CDFG12520020230000112023-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6677-7330<NA><NA>서울특별시 금천구 독산동 ***-* 현대지식산업센터서울특별시 금천구 두산로 **, 현대지식산업센터 *층 ***호 (독산동)08584네이플2023-08-22 10:19:59I2022-12-07 22:04:00.0<NA>190694.880295440764.426278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2893170000CDFG12520020230000122023-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-831-8887<NA><NA>서울특별시 금천구 가산동 ***-** 가산 에스케이 브이원 센터서울특별시 금천구 가산디지털*로 ***, 가산 에스케이 브이원 센터 ****호 (가산동)08503주식회사 조감도팩토리2023-08-30 09:10:13I2022-12-09 00:01:00.0<NA>189378.332494442066.998665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2903170000CDFG12520020230000132023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-733-6771<NA><NA>서울특별시 금천구 가산동 ***-** 한라시그마밸리서울특별시 금천구 가산디지털*로 **, 한라시그마밸리 지하***~***, ***~***호 (가산동)08588(주)박영사2023-11-03 15:03:07I2022-11-01 00:05:00.0<NA>189419.091887441207.655087<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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