Overview

Dataset statistics

Number of variables56
Number of observations64
Missing cells1777
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.6 KiB
Average record size in memory489.1 B

Variable types

Categorical17
Text8
DateTime4
Unsupported22
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-17819/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
인허가취소일자 is highly imbalanced (88.4%)Imbalance
영업상태코드 is highly imbalanced (52.0%)Imbalance
영업상태명 is highly imbalanced (52.0%)Imbalance
상세영업상태코드 is highly imbalanced (52.0%)Imbalance
상세영업상태명 is highly imbalanced (52.0%)Imbalance
총층수 is highly imbalanced (70.7%)Imbalance
지상층수 is highly imbalanced (71.7%)Imbalance
지하층수 is highly imbalanced (66.2%)Imbalance
통로너비 is highly imbalanced (66.3%)Imbalance
조명시설조도 is highly imbalanced (66.3%)Imbalance
노래방실수 is highly imbalanced (66.3%)Imbalance
청소년실수 is highly imbalanced (66.3%)Imbalance
총게임기수 is highly imbalanced (66.3%)Imbalance
폐업일자 has 52 (81.2%) missing valuesMissing
휴업시작일자 has 64 (100.0%) missing valuesMissing
휴업종료일자 has 64 (100.0%) missing valuesMissing
재개업일자 has 64 (100.0%) missing valuesMissing
전화번호 has 40 (62.5%) missing valuesMissing
소재지면적 has 64 (100.0%) missing valuesMissing
소재지우편번호 has 53 (82.8%) missing valuesMissing
도로명주소 has 1 (1.6%) missing valuesMissing
도로명우편번호 has 15 (23.4%) missing valuesMissing
업태구분명 has 64 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.6%) missing valuesMissing
좌표정보(Y) has 1 (1.6%) missing valuesMissing
주변환경명 has 64 (100.0%) missing valuesMissing
제작취급품목내용 has 35 (54.7%) missing valuesMissing
시설면적 has 48 (75.0%) missing valuesMissing
건물용도명 has 62 (96.9%) missing valuesMissing
비상계단여부 has 64 (100.0%) missing valuesMissing
비상구여부 has 64 (100.0%) missing valuesMissing
자동환기여부 has 64 (100.0%) missing valuesMissing
청소년실여부 has 64 (100.0%) missing valuesMissing
특수조명여부 has 64 (100.0%) missing valuesMissing
방음시설여부 has 64 (100.0%) missing valuesMissing
비디오재생기명 has 64 (100.0%) missing valuesMissing
조명시설유무 has 64 (100.0%) missing valuesMissing
음향시설여부 has 64 (100.0%) missing valuesMissing
편의시설여부 has 64 (100.0%) missing valuesMissing
소방시설여부 has 64 (100.0%) missing valuesMissing
기존게임업외업종명 has 64 (100.0%) missing valuesMissing
제공게임물명 has 64 (100.0%) missing valuesMissing
공연장형태구분명 has 64 (100.0%) missing valuesMissing
품목명 has 64 (100.0%) missing valuesMissing
최초등록시점 has 64 (100.0%) missing valuesMissing
지역구분명 has 61 (95.3%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 2 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 10:01:26.190564
Analysis finished2024-05-11 10:01:27.443965
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
3170000
64 

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 64
100.0%

Length

2024-05-11T10:01:27.647275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:28.062117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 64
100.0%

관리번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T10:01:28.503708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1280
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

Unique64 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061996000001
2nd rowCDFF3241062000000001
3rd rowCDFF3241062000000002
4th rowCDFF3241062001000001
5th rowCDFF3241062001000002
ValueCountFrequency (%)
cdff3241061996000001 1
 
1.6%
cdff3241062000000001 1
 
1.6%
cdff3241062022000004 1
 
1.6%
cdff3241062021000001 1
 
1.6%
cdff3241062021000002 1
 
1.6%
cdff3241062021000003 1
 
1.6%
cdff3241062021000004 1
 
1.6%
cdff3241062021000005 1
 
1.6%
cdff3241062021000006 1
 
1.6%
cdff3241062021000007 1
 
1.6%
Other values (54) 54
84.4%
2024-05-11T10:01:29.527016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 464
36.2%
2 178
 
13.9%
F 128
 
10.0%
1 123
 
9.6%
4 82
 
6.4%
3 81
 
6.3%
6 70
 
5.5%
C 64
 
5.0%
D 64
 
5.0%
5 9
 
0.7%
Other values (3) 17
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1024
80.0%
Uppercase Letter 256
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 464
45.3%
2 178
 
17.4%
1 123
 
12.0%
4 82
 
8.0%
3 81
 
7.9%
6 70
 
6.8%
5 9
 
0.9%
7 8
 
0.8%
9 6
 
0.6%
8 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 128
50.0%
C 64
25.0%
D 64
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1024
80.0%
Latin 256
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 464
45.3%
2 178
 
17.4%
1 123
 
12.0%
4 82
 
8.0%
3 81
 
7.9%
6 70
 
6.8%
5 9
 
0.9%
7 8
 
0.8%
9 6
 
0.6%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
F 128
50.0%
C 64
25.0%
D 64
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 464
36.2%
2 178
 
13.9%
F 128
 
10.0%
1 123
 
9.6%
4 82
 
6.4%
3 81
 
6.3%
6 70
 
5.5%
C 64
 
5.0%
D 64
 
5.0%
5 9
 
0.7%
Other values (3) 17
 
1.3%

인허가일자
Date

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum1996-12-19 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T10:01:30.006325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:01:30.416814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
63 
20200228
 
1

Length

Max length8
Median length4
Mean length4.0625
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
98.4%
20200228 1
 
1.6%

Length

2024-05-11T10:01:30.822500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:31.156693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
98.4%
20200228 1
 
1.6%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
1
51 
3
9 
5
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
79.7%
3 9
 
14.1%
5 3
 
4.7%
4 1
 
1.6%

Length

2024-05-11T10:01:31.530862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:31.883739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
79.7%
3 9
 
14.1%
5 3
 
4.7%
4 1
 
1.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업/정상
51 
폐업
9 
제외/삭제/전출
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.859375
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 51
79.7%
폐업 9
 
14.1%
제외/삭제/전출 3
 
4.7%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2024-05-11T10:01:32.272464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:32.630932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 51
79.7%
폐업 9
 
14.1%
제외/삭제/전출 3
 
4.7%
취소/말소/만료/정지/중지 1
 
1.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
13
51 
3
9 
15
 
3
31
 
1

Length

Max length2
Median length2
Mean length1.859375
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 51
79.7%
3 9
 
14.1%
15 3
 
4.7%
31 1
 
1.6%

Length

2024-05-11T10:01:33.023181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:33.428830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 51
79.7%
3 9
 
14.1%
15 3
 
4.7%
31 1
 
1.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업중
51 
폐업
9 
전출
 
3
등록취소
 
1

Length

Max length4
Median length3
Mean length2.828125
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 51
79.7%
폐업 9
 
14.1%
전출 3
 
4.7%
등록취소 1
 
1.6%

Length

2024-05-11T10:01:33.848072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:34.224444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 51
79.7%
폐업 9
 
14.1%
전출 3
 
4.7%
등록취소 1
 
1.6%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing52
Missing (%)81.2%
Memory size644.0 B
Minimum2010-12-16 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T10:01:34.592362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:01:34.895516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

전화번호
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing40
Missing (%)62.5%
Memory size644.0 B
2024-05-11T10:01:35.336077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10
Min length8

Characters and Unicode

Total characters240
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

Unique24 ?
Unique (%)100.0%

Sample

1st row851-3725
2nd row895-1950
3rd row803-9809
4th row895-7771
5th row863-0745
ValueCountFrequency (%)
070-8260-8223 1
 
4.2%
803-9809 1
 
4.2%
070-7019-6464 1
 
4.2%
02-6279-0355 1
 
4.2%
02-6953-9936 1
 
4.2%
070-4353-2147 1
 
4.2%
08-859-0883 1
 
4.2%
070-7602-8956 1
 
4.2%
809-5670 1
 
4.2%
02-790-1393 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T10:01:36.353926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
15.4%
- 34
14.2%
2 25
10.4%
7 24
10.0%
8 22
9.2%
9 22
9.2%
6 21
8.8%
3 19
7.9%
5 18
7.5%
1 9
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 206
85.8%
Dash Punctuation 34
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
18.0%
2 25
12.1%
7 24
11.7%
8 22
10.7%
9 22
10.7%
6 21
10.2%
3 19
9.2%
5 18
8.7%
1 9
 
4.4%
4 9
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
15.4%
- 34
14.2%
2 25
10.4%
7 24
10.0%
8 22
9.2%
9 22
9.2%
6 21
8.8%
3 19
7.9%
5 18
7.5%
1 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
15.4%
- 34
14.2%
2 25
10.4%
7 24
10.0%
8 22
9.2%
9 22
9.2%
6 21
8.8%
3 19
7.9%
5 18
7.5%
1 9
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)72.7%
Missing53
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean153803.18
Minimum153764
Maximum153842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T10:01:36.733418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153764
5-th percentile153770
Q1153801.5
median153803
Q3153811
95-th percentile153831
Maximum153842
Range78
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation20.788546
Coefficient of variation (CV)0.0001351633
Kurtosis1.0516693
Mean153803.18
Median Absolute Deviation (MAD)2
Skewness-0.17741873
Sum1691835
Variance432.16364
MonotonicityNot monotonic
2024-05-11T10:01:37.157386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
153803 3
 
4.7%
153802 2
 
3.1%
153764 1
 
1.6%
153842 1
 
1.6%
153820 1
 
1.6%
153819 1
 
1.6%
153776 1
 
1.6%
153801 1
 
1.6%
(Missing) 53
82.8%
ValueCountFrequency (%)
153764 1
 
1.6%
153776 1
 
1.6%
153801 1
 
1.6%
153802 2
3.1%
153803 3
4.7%
153819 1
 
1.6%
153820 1
 
1.6%
153842 1
 
1.6%
ValueCountFrequency (%)
153842 1
 
1.6%
153820 1
 
1.6%
153819 1
 
1.6%
153803 3
4.7%
153802 2
3.1%
153801 1
 
1.6%
153776 1
 
1.6%
153764 1
 
1.6%

지번주소
Text

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T10:01:37.790086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length28.265625
Min length20

Characters and Unicode

Total characters1809
Distinct characters107
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)78.1%

Sample

1st row서울특별시 금천구 가산동 ***-*번지
2nd row서울특별시 금천구 가산동 ***번지 대륭테크노타운 *차 ***호
3rd row서울특별시 금천구 시흥동 벽산 ***동 ****호
4th row서울특별시 금천구 시흥동 ***-**번지
5th row서울특별시 금천구 가산동 ***번지
ValueCountFrequency (%)
서울특별시 64
19.3%
금천구 64
19.3%
가산동 45
13.6%
35
10.5%
번지 28
8.4%
호 15
 
4.5%
시흥동 11
 
3.3%
독산동 8
 
2.4%
차 4
 
1.2%
에이스 4
 
1.2%
Other values (39) 54
16.3%
2024-05-11T10:01:39.033071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 351
19.4%
298
16.5%
시 77
 
4.3%
산 66
 
3.6%
동 66
 
3.6%
별 65
 
3.6%
금 65
 
3.6%
천 65
 
3.6%
울 65
 
3.6%
서 64
 
3.5%
Other values (97) 627
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
60.8%
Other Punctuation 351
 
19.4%
Space Separator 298
 
16.5%
Dash Punctuation 55
 
3.0%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 77
 
7.0%
산 66
 
6.0%
동 66
 
6.0%
별 65
 
5.9%
금 65
 
5.9%
천 65
 
5.9%
울 65
 
5.9%
서 64
 
5.8%
특 64
 
5.8%
구 64
 
5.8%
Other values (90) 439
39.9%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
T 1
20.0%
I 1
20.0%
B 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 351
100.0%
Space Separator
ValueCountFrequency (%)
298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
60.8%
Common 704
38.9%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 77
 
7.0%
산 66
 
6.0%
동 66
 
6.0%
별 65
 
5.9%
금 65
 
5.9%
천 65
 
5.9%
울 65
 
5.9%
서 64
 
5.8%
특 64
 
5.8%
구 64
 
5.8%
Other values (90) 439
39.9%
Latin
ValueCountFrequency (%)
K 2
40.0%
T 1
20.0%
I 1
20.0%
B 1
20.0%
Common
ValueCountFrequency (%)
* 351
49.9%
298
42.3%
- 55
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
60.8%
ASCII 709
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 351
49.5%
298
42.0%
- 55
 
7.8%
K 2
 
0.3%
T 1
 
0.1%
I 1
 
0.1%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
시 77
 
7.0%
산 66
 
6.0%
동 66
 
6.0%
별 65
 
5.9%
금 65
 
5.9%
천 65
 
5.9%
울 65
 
5.9%
서 64
 
5.8%
특 64
 
5.8%
구 64
 
5.8%
Other values (90) 439
39.9%

도로명주소
Text

MISSING 

Distinct59
Distinct (%)93.7%
Missing1
Missing (%)1.6%
Memory size644.0 B
2024-05-11T10:01:39.600442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length38.492063
Min length23

Characters and Unicode

Total characters2425
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)88.9%

Sample

1st row서울특별시 금천구 서부샛길 *** (가산동)
2nd row서울특별시 금천구 서부샛길 *** (가산동,대륭테크노타운 *차 ***호)
3rd row서울특별시 금천구 탑골로 ** (시흥동)
4th row서울특별시 금천구 가산디지털*로 ** (가산동)
5th row서울특별시 금천구 남부순환로 **** (독산동,***호)
ValueCountFrequency (%)
64
14.9%
서울특별시 63
14.7%
금천구 63
14.7%
호 42
9.8%
가산동 39
 
9.1%
가산디지털*로 27
 
6.3%
층 10
 
2.3%
시흥동 9
 
2.1%
독산동 7
 
1.6%
서부샛길 4
 
0.9%
Other values (65) 101
23.5%
2024-05-11T10:01:40.670527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 431
17.8%
380
 
15.7%
산 99
 
4.1%
시 80
 
3.3%
가 79
 
3.3%
서 67
 
2.8%
금 67
 
2.8%
동 67
 
2.8%
별 64
 
2.6%
천 64
 
2.6%
Other values (115) 1027
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1400
57.7%
Other Punctuation 495
 
20.4%
Space Separator 380
 
15.7%
Open Punctuation 63
 
2.6%
Close Punctuation 63
 
2.6%
Dash Punctuation 13
 
0.5%
Uppercase Letter 11
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 99
 
7.1%
시 80
 
5.7%
가 79
 
5.6%
서 67
 
4.8%
금 67
 
4.8%
동 67
 
4.8%
별 64
 
4.6%
천 64
 
4.6%
울 63
 
4.5%
구 63
 
4.5%
Other values (103) 687
49.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
K 2
 
18.2%
C 1
 
9.1%
I 1
 
9.1%
T 1
 
9.1%
A 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 431
87.1%
, 64
 
12.9%
Space Separator
ValueCountFrequency (%)
380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1400
57.7%
Common 1014
41.8%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 99
 
7.1%
시 80
 
5.7%
가 79
 
5.6%
서 67
 
4.8%
금 67
 
4.8%
동 67
 
4.8%
별 64
 
4.6%
천 64
 
4.6%
울 63
 
4.5%
구 63
 
4.5%
Other values (103) 687
49.1%
Common
ValueCountFrequency (%)
* 431
42.5%
380
37.5%
, 64
 
6.3%
( 63
 
6.2%
) 63
 
6.2%
- 13
 
1.3%
Latin
ValueCountFrequency (%)
B 5
45.5%
K 2
 
18.2%
C 1
 
9.1%
I 1
 
9.1%
T 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1400
57.7%
ASCII 1025
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 431
42.0%
380
37.1%
, 64
 
6.2%
( 63
 
6.1%
) 63
 
6.1%
- 13
 
1.3%
B 5
 
0.5%
K 2
 
0.2%
C 1
 
0.1%
I 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
산 99
 
7.1%
시 80
 
5.7%
가 79
 
5.6%
서 67
 
4.8%
금 67
 
4.8%
동 67
 
4.8%
별 64
 
4.6%
천 64
 
4.6%
울 63
 
4.5%
구 63
 
4.5%
Other values (103) 687
49.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)59.2%
Missing15
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean8553.0816
Minimum8500
Maximum8652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T10:01:41.061782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8501
Q18503
median8517
Q38590
95-th percentile8644.6
Maximum8652
Range152
Interquartile range (IQR)87

Descriptive statistics

Standard deviation52.728802
Coefficient of variation (CV)0.0061648893
Kurtosis-1.3318698
Mean8553.0816
Median Absolute Deviation (MAD)17
Skewness0.42896572
Sum419101
Variance2780.3265
MonotonicityNot monotonic
2024-05-11T10:01:41.426508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8501 6
 
9.4%
8503 4
 
6.2%
8589 4
 
6.2%
8594 3
 
4.7%
8500 2
 
3.1%
8505 2
 
3.1%
8517 2
 
3.1%
8511 2
 
3.1%
8502 2
 
3.1%
8590 2
 
3.1%
Other values (19) 20
31.2%
(Missing) 15
23.4%
ValueCountFrequency (%)
8500 2
 
3.1%
8501 6
9.4%
8502 2
 
3.1%
8503 4
6.2%
8504 1
 
1.6%
8505 2
 
3.1%
8506 1
 
1.6%
8511 2
 
3.1%
8512 2
 
3.1%
8514 1
 
1.6%
ValueCountFrequency (%)
8652 1
 
1.6%
8650 1
 
1.6%
8645 1
 
1.6%
8644 1
 
1.6%
8643 1
 
1.6%
8628 1
 
1.6%
8614 1
 
1.6%
8608 1
 
1.6%
8603 1
 
1.6%
8594 3
4.7%

사업장명
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T10:01:41.932631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length9
Min length4

Characters and Unicode

Total characters576
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)96.9%

Sample

1st row제이미디어
2nd row관음음향연구원
3rd rowBOUND MEDIA
4th row엔트러스엔터테인먼트
5th row디지텍미디어(주)
ValueCountFrequency (%)
주식회사 13
 
14.3%
주)에듀메카 2
 
2.2%
media 2
 
2.2%
노래뮤비방 2
 
2.2%
이노뮤직 1
 
1.1%
엑스네임 1
 
1.1%
지안스튜디오 1
 
1.1%
지니픽(gini 1
 
1.1%
pick 1
 
1.1%
샤이닝랩 1
 
1.1%
Other values (66) 66
72.5%
2024-05-11T10:01:42.839775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
6.1%
이 29
 
5.0%
27
 
4.7%
( 23
 
4.0%
) 23
 
4.0%
사 17
 
3.0%
식 15
 
2.6%
회 15
 
2.6%
스 13
 
2.3%
디 12
 
2.1%
Other values (164) 367
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
77.8%
Lowercase Letter 28
 
4.9%
Space Separator 27
 
4.7%
Uppercase Letter 24
 
4.2%
Open Punctuation 23
 
4.0%
Close Punctuation 23
 
4.0%
Other Symbol 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
7.8%
이 29
 
6.5%
사 17
 
3.8%
식 15
 
3.3%
회 15
 
3.3%
스 13
 
2.9%
디 12
 
2.7%
에 11
 
2.5%
미 9
 
2.0%
트 9
 
2.0%
Other values (129) 283
63.2%
Uppercase Letter
ValueCountFrequency (%)
E 3
12.5%
P 3
12.5%
A 3
12.5%
I 2
 
8.3%
D 2
 
8.3%
S 1
 
4.2%
F 1
 
4.2%
L 1
 
4.2%
T 1
 
4.2%
C 1
 
4.2%
Other values (6) 6
25.0%
Lowercase Letter
ValueCountFrequency (%)
i 6
21.4%
e 4
14.3%
r 4
14.3%
t 2
 
7.1%
s 2
 
7.1%
k 1
 
3.6%
h 1
 
3.6%
o 1
 
3.6%
b 1
 
3.6%
p 1
 
3.6%
Other values (5) 5
17.9%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
78.3%
Common 73
 
12.7%
Latin 52
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
7.8%
이 29
 
6.4%
사 17
 
3.8%
식 15
 
3.3%
회 15
 
3.3%
스 13
 
2.9%
디 12
 
2.7%
에 11
 
2.4%
미 9
 
2.0%
트 9
 
2.0%
Other values (130) 286
63.4%
Latin
ValueCountFrequency (%)
i 6
 
11.5%
e 4
 
7.7%
r 4
 
7.7%
E 3
 
5.8%
P 3
 
5.8%
A 3
 
5.8%
t 2
 
3.8%
s 2
 
3.8%
I 2
 
3.8%
D 2
 
3.8%
Other values (21) 21
40.4%
Common
ValueCountFrequency (%)
27
37.0%
( 23
31.5%
) 23
31.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
77.8%
ASCII 125
 
21.7%
None 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
7.8%
이 29
 
6.5%
사 17
 
3.8%
식 15
 
3.3%
회 15
 
3.3%
스 13
 
2.9%
디 12
 
2.7%
에 11
 
2.5%
미 9
 
2.0%
트 9
 
2.0%
Other values (129) 283
63.2%
ASCII
ValueCountFrequency (%)
27
21.6%
( 23
18.4%
) 23
18.4%
i 6
 
4.8%
e 4
 
3.2%
r 4
 
3.2%
E 3
 
2.4%
P 3
 
2.4%
A 3
 
2.4%
t 2
 
1.6%
Other values (24) 27
21.6%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2006-06-29 09:28:38
Maximum2024-04-30 16:58:58
2024-05-11T10:01:43.256258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:01:43.691632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
I
49 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 49
76.6%
U 15
 
23.4%

Length

2024-05-11T10:01:44.116937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:44.483410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 49
76.6%
u 15
 
23.4%

데이터갱신일자
Date

Distinct40
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T10:01:44.796788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:01:45.181094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)79.4%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean190035.4
Minimum188979.23
Maximum192574.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T10:01:45.570928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188979.23
5-th percentile189065.82
Q1189287.6
median189744.93
Q3190601.34
95-th percentile191935.61
Maximum192574.1
Range3594.8729
Interquartile range (IQR)1313.7396

Descriptive statistics

Standard deviation977.11202
Coefficient of variation (CV)0.0051417368
Kurtosis-0.002082888
Mean190035.4
Median Absolute Deviation (MAD)512.62399
Skewness1.0604747
Sum11972230
Variance954747.89
MonotonicityNot monotonic
2024-05-11T10:01:45.985860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188979.225789508 3
 
4.7%
189089.927764903 3
 
4.7%
189744.930420882 3
 
4.7%
190185.054136417 2
 
3.1%
189685.516219475 2
 
3.1%
189504.258704224 2
 
3.1%
189158.740846154 2
 
3.1%
189065.818334596 2
 
3.1%
189232.30642848 2
 
3.1%
189282.557380259 2
 
3.1%
Other values (40) 40
62.5%
ValueCountFrequency (%)
188979.225789508 3
4.7%
189065.818334596 2
3.1%
189089.927764903 3
4.7%
189158.740846154 2
3.1%
189202.600232089 1
 
1.6%
189228.282678816 1
 
1.6%
189232.30642848 2
3.1%
189282.557380259 2
3.1%
189292.647937606 1
 
1.6%
189314.711435401 1
 
1.6%
ValueCountFrequency (%)
192574.098716553 1
1.6%
192337.129442633 1
1.6%
192136.146483742 1
1.6%
191941.449524903 1
1.6%
191883.073956299 1
1.6%
191667.553587143 1
1.6%
191662.111133013 1
1.6%
191604.779985418 1
1.6%
191547.463842808 1
1.6%
191431.678216508 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)79.4%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean441233.9
Minimum437799.81
Maximum442585.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T10:01:46.500876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437799.81
5-th percentile438681.08
Q1440713.36
median441534.18
Q3442074.42
95-th percentile442561.67
Maximum442585.93
Range4786.1241
Interquartile range (IQR)1361.0573

Descriptive statistics

Standard deviation1228.1107
Coefficient of variation (CV)0.0027833552
Kurtosis0.50524456
Mean441233.9
Median Absolute Deviation (MAD)653.99855
Skewness-1.1636473
Sum27797736
Variance1508255.8
MonotonicityNot monotonic
2024-05-11T10:01:46.886043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442035.622560657 3
 
4.7%
442569.300676147 3
 
4.7%
441398.745565831 3
 
4.7%
441381.452926959 2
 
3.1%
442026.468974479 2
 
3.1%
441390.738560411 2
 
3.1%
442283.977342742 2
 
3.1%
442338.144130222 2
 
3.1%
442478.356256941 2
 
3.1%
442417.955057116 2
 
3.1%
Other values (40) 40
62.5%
ValueCountFrequency (%)
437799.809089881 1
1.6%
438200.726855847 1
1.6%
438638.826577073 1
1.6%
438675.144654996 1
1.6%
438734.460577649 1
1.6%
438995.066815365 1
1.6%
439169.359799687 1
1.6%
439209.588198806 1
1.6%
439333.421297264 1
1.6%
439838.153233329 1
1.6%
ValueCountFrequency (%)
442585.933234852 1
 
1.6%
442569.300676147 3
4.7%
442493.020182986 1
 
1.6%
442478.356256941 2
3.1%
442417.955057116 2
3.1%
442338.144130222 2
3.1%
442283.977342742 2
3.1%
442174.424111843 1
 
1.6%
442143.206055455 1
 
1.6%
442093.648596802 1
 
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
음반.음악영상물제작업
41 
<NA>
23 

Length

Max length11
Median length11
Mean length8.484375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 41
64.1%
<NA> 23
35.9%

Length

2024-05-11T10:01:47.477936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:47.820613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 41
64.1%
na 23
35.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
유통관련업
41 
<NA>
23 

Length

Max length5
Median length5
Mean length4.640625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 41
64.1%
<NA> 23
35.9%

Length

2024-05-11T10:01:48.219674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:48.569581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 41
64.1%
na 23
35.9%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
57 
0
 
4
1
 
1
14
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.703125
Min length1

Unique

Unique3 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
89.1%
0 4
 
6.2%
1 1
 
1.6%
14 1
 
1.6%
10 1
 
1.6%

Length

2024-05-11T10:01:48.926951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:49.300696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
89.1%
0 4
 
6.2%
1 1
 
1.6%
14 1
 
1.6%
10 1
 
1.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

제작취급품목내용
Text

MISSING 

Distinct17
Distinct (%)58.6%
Missing35
Missing (%)54.7%
Memory size644.0 B
2024-05-11T10:01:49.703882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length8.4482759
Min length2

Characters and Unicode

Total characters245
Distinct characters49
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)44.8%

Sample

1st row음반제작업
2nd row음반제작업
3rd row음반제작업
4th row음반제작업
5th row음반제작업
ValueCountFrequency (%)
음반제작업 9
21.4%
음반 7
16.7%
음악영상물 3
 
7.1%
음악영상파일 3
 
7.1%
음원 3
 
7.1%
음악파일 2
 
4.8%
노래영상물제작,노래음악영상파일,sd카드 2
 
4.8%
음악 1
 
2.4%
음반,음악영상물 1
 
2.4%
sd카드 1
 
2.4%
Other values (10) 10
23.8%
2024-05-11T10:01:50.556107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 37
15.1%
, 20
 
8.2%
반 18
 
7.3%
영 17
 
6.9%
상 15
 
6.1%
악 14
 
5.7%
제 13
 
5.3%
작 13
 
5.3%
13
 
5.3%
업 10
 
4.1%
Other values (39) 75
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
82.4%
Other Punctuation 20
 
8.2%
Space Separator 13
 
5.3%
Lowercase Letter 4
 
1.6%
Uppercase Letter 4
 
1.6%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 37
18.3%
반 18
 
8.9%
영 17
 
8.4%
상 15
 
7.4%
악 14
 
6.9%
제 13
 
6.4%
작 13
 
6.4%
업 10
 
5.0%
파 7
 
3.5%
일 7
 
3.5%
Other values (30) 51
25.2%
Lowercase Letter
ValueCountFrequency (%)
d 2
50.0%
s 1
25.0%
c 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
S 2
50.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
82.4%
Common 35
 
14.3%
Latin 8
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 37
18.3%
반 18
 
8.9%
영 17
 
8.4%
상 15
 
7.4%
악 14
 
6.9%
제 13
 
6.4%
작 13
 
6.4%
업 10
 
5.0%
파 7
 
3.5%
일 7
 
3.5%
Other values (30) 51
25.2%
Latin
ValueCountFrequency (%)
d 2
25.0%
D 2
25.0%
S 2
25.0%
s 1
12.5%
c 1
12.5%
Common
ValueCountFrequency (%)
, 20
57.1%
13
37.1%
) 1
 
2.9%
( 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
82.4%
ASCII 43
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 37
18.3%
반 18
 
8.9%
영 17
 
8.4%
상 15
 
7.4%
악 14
 
6.9%
제 13
 
6.4%
작 13
 
6.4%
업 10
 
5.0%
파 7
 
3.5%
일 7
 
3.5%
Other values (30) 51
25.2%
ASCII
ValueCountFrequency (%)
, 20
46.5%
13
30.2%
d 2
 
4.7%
D 2
 
4.7%
S 2
 
4.7%
s 1
 
2.3%
) 1
 
2.3%
( 1
 
2.3%
c 1
 
2.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)93.8%
Missing48
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean72.17125
Minimum0
Maximum230
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T10:01:50.956308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.4
median61.96
Q3107.365
95-th percentile206
Maximum230
Range230
Interquartile range (IQR)95.965

Descriptive statistics

Standard deviation69.896343
Coefficient of variation (CV)0.96847904
Kurtosis0.46835873
Mean72.17125
Median Absolute Deviation (MAD)48.11
Skewness1.0058082
Sum1154.74
Variance4885.4987
MonotonicityNot monotonic
2024-05-11T10:01:51.324673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 2
 
3.1%
55.98 1
 
1.6%
92.6 1
 
1.6%
59.96 1
 
1.6%
130.2 1
 
1.6%
63.96 1
 
1.6%
198.0 1
 
1.6%
230.0 1
 
1.6%
109.42 1
 
1.6%
4.0 1
 
1.6%
Other values (5) 5
 
7.8%
(Missing) 48
75.0%
ValueCountFrequency (%)
0.0 2
3.1%
4.0 1
1.6%
6.0 1
1.6%
13.2 1
1.6%
20.0 1
1.6%
55.98 1
1.6%
59.96 1
1.6%
63.96 1
1.6%
64.74 1
1.6%
92.6 1
1.6%
ValueCountFrequency (%)
230.0 1
1.6%
198.0 1
1.6%
130.2 1
1.6%
109.42 1
1.6%
106.68 1
1.6%
92.6 1
1.6%
64.74 1
1.6%
63.96 1
1.6%
59.96 1
1.6%
55.98 1
1.6%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
58 
0
 
4
3
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.734375
Min length1

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
90.6%
0 4
 
6.2%
3 1
 
1.6%
10 1
 
1.6%

Length

2024-05-11T10:01:51.766429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:52.141577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
90.6%
0 4
 
6.2%
3 1
 
1.6%
10 1
 
1.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
58 
0
 
4
1
 
2

Length

Max length4
Median length4
Mean length3.71875
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> 58
90.6%
0 4
 
6.2%
1 2
 
3.1%

Length

2024-05-11T10:01:52.621298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:52.971041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
90.6%
0 4
 
6.2%
1 2
 
3.1%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing62
Missing (%)96.9%
Memory size644.0 B
2024-05-11T10:01:53.532400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-05-11T10:01:55.078025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
60 
0
 
4

Length

Max length4
Median length4
Mean length3.8125
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> 60
93.8%
0 4
 
6.2%

Length

2024-05-11T10:01:55.742240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:56.286590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
93.8%
0 4
 
6.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
60 
0
 
4

Length

Max length4
Median length4
Mean length3.8125
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> 60
93.8%
0 4
 
6.2%

Length

2024-05-11T10:01:56.989377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:57.337146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
93.8%
0 4
 
6.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
60 
0
 
4

Length

Max length4
Median length4
Mean length3.8125
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> 60
93.8%
0 4
 
6.2%

Length

2024-05-11T10:01:57.807847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:58.225417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
93.8%
0 4
 
6.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
60 
0
 
4

Length

Max length4
Median length4
Mean length3.8125
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> 60
93.8%
0 4
 
6.2%

Length

2024-05-11T10:01:58.733981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:59.114018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
93.8%
0 4
 
6.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
60 
0
 
4

Length

Max length4
Median length4
Mean length3.8125
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> 60
93.8%
0 4
 
6.2%

Length

2024-05-11T10:01:59.571485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:01:59.995903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
93.8%
0 4
 
6.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing61
Missing (%)95.3%
Memory size644.0 B
2024-05-11T10:02:00.296471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.3333333
Min length4

Characters and Unicode

Total characters13
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row준주거지역
2nd row공업지역
3rd row상업지역
ValueCountFrequency (%)
준주거지역 1
33.3%
공업지역 1
33.3%
상업지역 1
33.3%
2024-05-11T10:02:01.343250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
23.1%
역 3
23.1%
업 2
15.4%
준 1
 
7.7%
주 1
 
7.7%
거 1
 
7.7%
공 1
 
7.7%
상 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
23.1%
역 3
23.1%
업 2
15.4%
준 1
 
7.7%
주 1
 
7.7%
거 1
 
7.7%
공 1
 
7.7%
상 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
23.1%
역 3
23.1%
업 2
15.4%
준 1
 
7.7%
주 1
 
7.7%
거 1
 
7.7%
공 1
 
7.7%
상 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
23.1%
역 3
23.1%
업 2
15.4%
준 1
 
7.7%
주 1
 
7.7%
거 1
 
7.7%
공 1
 
7.7%
상 1
 
7.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF324106199600000119961219<NA>1영업/정상13영업중<NA><NA><NA><NA>851-3725<NA><NA>서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 서부샛길 *** (가산동)8594제이미디어2013-12-26 17:06:12I2018-08-31 23:59:59.0<NA>189801.631035440588.723648음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13170000CDFF324106200000000120000902<NA>3폐업3폐업20130130<NA><NA><NA>895-1950<NA>153803서울특별시 금천구 가산동 ***번지 대륭테크노타운 *차 ***호서울특별시 금천구 서부샛길 *** (가산동,대륭테크노타운 *차 ***호)<NA>관음음향연구원2013-01-30 10:09:49I2018-08-31 23:59:59.0<NA>188979.22579442035.622561음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFF324106200000000220001006<NA>1영업/정상13영업중<NA><NA><NA><NA>803-9809<NA>153764서울특별시 금천구 시흥동 벽산 ***동 ****호<NA><NA>BOUND MEDIA2007-03-21 14:48:54I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33170000CDFF324106200100000120010219<NA>1영업/정상13영업중<NA><NA><NA><NA>895-7771<NA>153842서울특별시 금천구 시흥동 ***-**번지서울특별시 금천구 탑골로 ** (시흥동)<NA>엔트러스엔터테인먼트2007-03-21 14:50:28I2018-08-31 23:59:59.0<NA>192574.098717438995.066815음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFF324106200100000220010324<NA>1영업/정상13영업중<NA><NA><NA><NA>863-0745<NA>153803서울특별시 금천구 가산동 ***번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>디지텍미디어(주)2007-03-21 14:52:05I2018-08-31 23:59:59.0<NA>189975.894747440742.22348음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53170000CDFF324106200100000320010326<NA>1영업/정상13영업중<NA><NA><NA><NA>865-6746<NA>153820서울특별시 금천구 독산동 ***-*번지 ***호서울특별시 금천구 남부순환로 **** (독산동,***호)<NA>도서출판 그룹필2007-03-21 14:54:11I2018-08-31 23:59:59.0<NA>191941.449525442055.183453음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFF324106200100000420010924<NA>1영업/정상13영업중<NA><NA><NA><NA>852-8322<NA>153819서울특별시 금천구 독산동 ***-**번지서울특별시 금천구 독산로***길 ** (독산동)<NA>(주)에이블커뮤니케이션2007-03-21 14:56:28I2018-08-31 23:59:59.0<NA>191547.463843441534.175304음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFF324106200100000520010927<NA>1영업/정상13영업중<NA><NA><NA><NA>312-3399<NA>153803서울특별시 금천구 가산동 ***번지 대륭테크노타운 *차 ***호서울특별시 금천구 가산디지털*로 *** (가산동,대륭테크노타운 *차 ***호)<NA>(주)에듀메카2007-03-21 14:58:21I2018-08-31 23:59:59.0<NA>189228.282679441767.908596음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFF324106200400000120041101<NA>1영업/정상13영업중<NA><NA><NA><NA>6329-779<NA>153802서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>웅진엔텍(주)2007-03-21 15:00:08I2018-08-31 23:59:59.0<NA>189744.930421441398.745566음반.음악영상물제작업유통관련업<NA><NA>음잔제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFF324106200500000120050720<NA>1영업/정상13영업중<NA><NA><NA><NA>851-9033<NA>153802서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산디지털*로 ** (가산동)<NA>(주)쓰리에이미디어2008-01-18 15:01:03I2018-08-31 23:59:59.0<NA>189744.930421441398.745566음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
543170000CDFF32410620230000082023-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6279-0355<NA><NA>서울특별시 금천구 가산동 ***-** IT프리미어타워서울특별시 금천구 가산디지털*로 **, IT프리미어타워 ****호 (가산동)8590에스이방과후교육원2023-06-26 17:00:52I2022-12-05 22:08:00.0<NA>189778.774505441302.111937<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553170000CDFF32410620230000092023-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-** 이앤씨드림타워*차서울특별시 금천구 디지털로*길 **, 이앤씨드림타워*차 ****호 (가산동)8512주식회사 데카사이트2023-07-20 12:53:07I2022-12-06 22:02:00.0<NA>189943.546219441990.817437<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563170000CDFF32410620230000102021-11-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 ***-**서울특별시 금천구 독산로**길 **, 지층 (시흥동)8643APPLECAT media (애플캣미디어)2023-12-11 13:24:07I2022-11-01 23:03:00.0<NA>191667.553587438675.144655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573170000CDFF32410620230000112023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 *** 대륭테크노타운**차서울특별시 금천구 가산디지털*로 **, 대륭테크노타운**차 *층 ***호 (가산동)8594(주)제로닷2023-12-12 15:40:59I2022-11-01 23:04:00.0<NA>189863.599517440684.494001<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583170000CDFF32410620240000012024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 에이스 비즈포레 지식산업센터서울특별시 금천구 가산디지털*로 ***, 에이스 비즈포레 지식산업센터 ***호 (가산동)8500(주)쿨웨이브2024-03-05 15:22:52I2023-12-03 00:07:00.0<NA>189065.818335442338.14413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593170000CDFF32410620240000022024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 *** 대륭테크노타운 **차서울특별시 금천구 가산디지털*로 *, 대륭테크노타운 **차 ***호 (가산동)8594주식회사 소요재2024-03-13 09:25:14I2023-12-02 23:06:00.0<NA>189920.528611440521.855249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603170000CDFF32410620240000032024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-469-0466<NA><NA>서울특별시 금천구 독산동 ***-* 솔리브오피스텔서울특별시 금천구 두산로 **, 솔리브오피스텔 ***호 (독산동)8583(주)엠스진2024-03-15 11:07:13I2023-12-02 23:07:00.0<NA>190279.864467440880.176751<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613170000CDFF32410620240000042024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ***-* 현대지식산업센터서울특별시 금천구 두산로 **, 현대지식산업센터 A동 **층 ****호 (독산동)8584스마트쿱(주)2024-04-17 11:00:57I2023-12-03 23:09:00.0<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>
623170000CDFF32410620240000052024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 케이씨씨 웰츠밸리서울특별시 금천구 가산디지털*로 ***, 케이씨씨 웰츠밸리 ***호 (가산동)8501주식회사 쏘울크리에이티브2024-04-26 09:17:29I2023-12-03 22:08:00.0<NA>189282.55738442417.955057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633170000CDFF32410620240000062019-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ****-**서울특별시 금천구 시흥대로***길 **, ***호 (독산동)8603감성뮤직2024-04-30 16:58:58I2023-12-05 00:02:00.0<NA>190808.08266440368.0943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>