Overview

Dataset statistics

Number of variables56
Number of observations77
Missing cells2243
Missing cells (%)52.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.7 KiB
Average record size in memory487.7 B

Variable types

Categorical16
Text9
DateTime3
Unsupported22
Numeric6

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16681/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
영업상태코드 is highly imbalanced (50.1%)Imbalance
영업상태명 is highly imbalanced (50.1%)Imbalance
상세영업상태코드 is highly imbalanced (50.1%)Imbalance
상세영업상태명 is highly imbalanced (50.1%)Imbalance
데이터갱신구분 is highly imbalanced (56.1%)Imbalance
데이터갱신일자 is highly imbalanced (52.5%)Imbalance
총층수 is highly imbalanced (73.3%)Imbalance
지하층수 is highly imbalanced (75.4%)Imbalance
통로너비 is highly imbalanced (70.5%)Imbalance
조명시설조도 is highly imbalanced (70.5%)Imbalance
노래방실수 is highly imbalanced (70.5%)Imbalance
청소년실수 is highly imbalanced (70.5%)Imbalance
총게임기수 is highly imbalanced (70.5%)Imbalance
인허가취소일자 has 77 (100.0%) missing valuesMissing
폐업일자 has 63 (81.8%) missing valuesMissing
휴업시작일자 has 77 (100.0%) missing valuesMissing
휴업종료일자 has 77 (100.0%) missing valuesMissing
재개업일자 has 77 (100.0%) missing valuesMissing
전화번호 has 60 (77.9%) missing valuesMissing
소재지면적 has 77 (100.0%) missing valuesMissing
소재지우편번호 has 62 (80.5%) missing valuesMissing
도로명우편번호 has 23 (29.9%) missing valuesMissing
업태구분명 has 77 (100.0%) missing valuesMissing
좌표정보(X) has 6 (7.8%) missing valuesMissing
좌표정보(Y) has 6 (7.8%) missing valuesMissing
주변환경명 has 75 (97.4%) missing valuesMissing
제작취급품목내용 has 12 (15.6%) missing valuesMissing
시설면적 has 25 (32.5%) missing valuesMissing
지상층수 has 69 (89.6%) missing valuesMissing
건물용도명 has 75 (97.4%) missing valuesMissing
비상계단여부 has 77 (100.0%) missing valuesMissing
비상구여부 has 77 (100.0%) missing valuesMissing
자동환기여부 has 77 (100.0%) missing valuesMissing
청소년실여부 has 77 (100.0%) missing valuesMissing
특수조명여부 has 77 (100.0%) missing valuesMissing
방음시설여부 has 77 (100.0%) missing valuesMissing
비디오재생기명 has 77 (100.0%) missing valuesMissing
조명시설유무 has 77 (100.0%) missing valuesMissing
음향시설여부 has 77 (100.0%) missing valuesMissing
편의시설여부 has 77 (100.0%) missing valuesMissing
소방시설여부 has 77 (100.0%) missing valuesMissing
기존게임업외업종명 has 77 (100.0%) missing valuesMissing
제공게임물명 has 77 (100.0%) missing valuesMissing
공연장형태구분명 has 77 (100.0%) missing valuesMissing
품목명 has 77 (100.0%) missing valuesMissing
최초등록시점 has 77 (100.0%) missing valuesMissing
지역구분명 has 73 (94.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
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 (2.6%) zerosZeros
지상층수 has 3 (3.9%) zerosZeros

Reproduction

Analysis started2024-05-11 04:11:35.954548
Analysis finished2024-05-11 04:11:37.735062
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
3150000
77 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 77
100.0%

Length

2024-05-11T04:11:38.204576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:11:38.534241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 77
100.0%

관리번호
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T04:11:39.087284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1540
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

Unique77 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000002
3rd rowCDFF2241121999000003
4th rowCDFF2241122002000001
5th rowCDFF2241122003000001
ValueCountFrequency (%)
cdff2241121999000001 1
 
1.3%
cdff2241122013000004 1
 
1.3%
cdff2241122017000003 1
 
1.3%
cdff2241122017000002 1
 
1.3%
cdff2241122017000001 1
 
1.3%
cdff2241122016000009 1
 
1.3%
cdff2241122016000007 1
 
1.3%
cdff2241122016000006 1
 
1.3%
cdff2241122016000005 1
 
1.3%
cdff2241122015000001 1
 
1.3%
Other values (67) 67
87.0%
2024-05-11T04:11:40.241967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 483
31.4%
2 346
22.5%
1 233
15.1%
F 154
 
10.0%
4 93
 
6.0%
C 77
 
5.0%
D 77
 
5.0%
3 22
 
1.4%
9 19
 
1.2%
6 10
 
0.6%
Other values (3) 26
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1232
80.0%
Uppercase Letter 308
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 483
39.2%
2 346
28.1%
1 233
18.9%
4 93
 
7.5%
3 22
 
1.8%
9 19
 
1.5%
6 10
 
0.8%
5 9
 
0.7%
7 9
 
0.7%
8 8
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 154
50.0%
C 77
25.0%
D 77
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1232
80.0%
Latin 308
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 483
39.2%
2 346
28.1%
1 233
18.9%
4 93
 
7.5%
3 22
 
1.8%
9 19
 
1.5%
6 10
 
0.8%
5 9
 
0.7%
7 9
 
0.7%
8 8
 
0.6%
Latin
ValueCountFrequency (%)
F 154
50.0%
C 77
25.0%
D 77
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 483
31.4%
2 346
22.5%
1 233
15.1%
F 154
 
10.0%
4 93
 
6.0%
C 77
 
5.0%
D 77
 
5.0%
3 22
 
1.4%
9 19
 
1.2%
6 10
 
0.6%
Other values (3) 26
 
1.7%

인허가일자
Date

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum1999-07-03 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T04:11:40.718430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:11:41.262694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
1
63 
3
12 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 63
81.8%
3 12
 
15.6%
5 2
 
2.6%

Length

2024-05-11T04:11:41.712442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:11:42.069917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
81.8%
3 12
 
15.6%
5 2
 
2.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
영업/정상
63 
폐업
12 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.6103896
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 63
81.8%
폐업 12
 
15.6%
제외/삭제/전출 2
 
2.6%

Length

2024-05-11T04:11:42.497614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:11:42.952899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 63
81.8%
폐업 12
 
15.6%
제외/삭제/전출 2
 
2.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
13
63 
3
12 
15
 
2

Length

Max length2
Median length2
Mean length1.8441558
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 63
81.8%
3 12
 
15.6%
15 2
 
2.6%

Length

2024-05-11T04:11:43.372391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:11:43.826868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 63
81.8%
3 12
 
15.6%
15 2
 
2.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
영업중
63 
폐업
12 
전출
 
2

Length

Max length3
Median length3
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 63
81.8%
폐업 12
 
15.6%
전출 2
 
2.6%

Length

2024-05-11T04:11:44.700319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:11:45.269444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 63
81.8%
폐업 12
 
15.6%
전출 2
 
2.6%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing63
Missing (%)81.8%
Memory size748.0 B
Minimum2008-03-24 00:00:00
Maximum2023-09-22 00:00:00
2024-05-11T04:11:45.973311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:11:46.778260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing60
Missing (%)77.9%
Memory size748.0 B
2024-05-11T04:11:47.795778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.352941
Min length8

Characters and Unicode

Total characters176
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

Unique17 ?
Unique (%)100.0%

Sample

1st row514-8022
2nd row2285-4731
3rd row2605-1230
4th row698-5343
5th row6346-9357
ValueCountFrequency (%)
514-8022 1
 
5.9%
1644-0633 1
 
5.9%
2285-4731 1
 
5.9%
02-2099-1217 1
 
5.9%
02-2093-2068 1
 
5.9%
070-4550-6020 1
 
5.9%
070-4077-1100 1
 
5.9%
02-6968-5556 1
 
5.9%
2695-5640 1
 
5.9%
2605-1230 1
 
5.9%
Other values (7) 7
41.2%
2024-05-11T04:11:49.290697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29
16.5%
- 24
13.6%
6 23
13.1%
2 19
10.8%
1 17
9.7%
3 15
8.5%
5 13
7.4%
4 11
 
6.2%
9 9
 
5.1%
8 8
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
86.4%
Dash Punctuation 24
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29
19.1%
6 23
15.1%
2 19
12.5%
1 17
11.2%
3 15
9.9%
5 13
8.6%
4 11
 
7.2%
9 9
 
5.9%
8 8
 
5.3%
7 8
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 29
16.5%
- 24
13.6%
6 23
13.1%
2 19
10.8%
1 17
9.7%
3 15
8.5%
5 13
7.4%
4 11
 
6.2%
9 9
 
5.1%
8 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29
16.5%
- 24
13.6%
6 23
13.1%
2 19
10.8%
1 17
9.7%
3 15
8.5%
5 13
7.4%
4 11
 
6.2%
9 9
 
5.1%
8 8
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing62
Missing (%)80.5%
Infinite0
Infinite (%)0.0%
Mean157750.27
Minimum157030
Maximum157925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T04:11:49.810950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157030
5-th percentile157030
Q1157804
median157862
Q3157882
95-th percentile157924.3
Maximum157925
Range895
Interquartile range (IQR)78

Descriptive statistics

Standard deviation295.09429
Coefficient of variation (CV)0.0018706421
Kurtosis4.083344
Mean157750.27
Median Absolute Deviation (MAD)35
Skewness-2.3171705
Sum2366254
Variance87080.638
MonotonicityNot monotonic
2024-05-11T04:11:50.278637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
157030 2
 
2.6%
157882 2
 
2.6%
157852 1
 
1.3%
157925 1
 
1.3%
157862 1
 
1.3%
157840 1
 
1.3%
157863 1
 
1.3%
157807 1
 
1.3%
157924 1
 
1.3%
157801 1
 
1.3%
Other values (3) 3
 
3.9%
(Missing) 62
80.5%
ValueCountFrequency (%)
157030 2
2.6%
157793 1
1.3%
157801 1
1.3%
157807 1
1.3%
157840 1
1.3%
157852 1
1.3%
157862 1
1.3%
157863 1
1.3%
157866 1
1.3%
157882 2
2.6%
ValueCountFrequency (%)
157925 1
1.3%
157924 1
1.3%
157897 1
1.3%
157882 2
2.6%
157866 1
1.3%
157863 1
1.3%
157862 1
1.3%
157852 1
1.3%
157840 1
1.3%
157807 1
1.3%

지번주소
Text

Distinct70
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T04:11:50.886328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length30.480519
Min length21

Characters and Unicode

Total characters2347
Distinct characters142
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)81.8%

Sample

1st row서울특별시 강서구 등촌동 ***-*번지
2nd row서울특별시 강서구 방화동 ***-**번지
3rd row서울특별시 강서구 화곡동 ****-**번지
4th row서울특별시 강서구 화곡동 ***-**번지 중앙빌딩 *층
5th row서울특별시 강서구 염창동 ***-*번지 리버팰리스 ***동 ***호
ValueCountFrequency (%)
서울특별시 77
18.3%
강서구 77
18.3%
번지 61
14.5%
호 33
7.8%
화곡동 27
 
6.4%
18
 
4.3%
층 15
 
3.6%
마곡동 13
 
3.1%
등촌동 12
 
2.9%
가양동 9
 
2.1%
Other values (56) 79
18.8%
2024-05-11T04:11:52.116807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 523
22.3%
387
16.5%
서 157
 
6.7%
동 91
 
3.9%
강 79
 
3.4%
울 78
 
3.3%
별 77
 
3.3%
특 77
 
3.3%
구 77
 
3.3%
시 77
 
3.3%
Other values (132) 724
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1334
56.8%
Other Punctuation 526
 
22.4%
Space Separator 387
 
16.5%
Dash Punctuation 74
 
3.2%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%
Uppercase Letter 8
 
0.3%
Math Symbol 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 157
 
11.8%
동 91
 
6.8%
강 79
 
5.9%
울 78
 
5.8%
별 77
 
5.8%
특 77
 
5.8%
구 77
 
5.8%
시 77
 
5.8%
지 70
 
5.2%
번 61
 
4.6%
Other values (118) 490
36.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
A 2
25.0%
G 1
 
12.5%
L 1
 
12.5%
C 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
* 523
99.4%
, 2
 
0.4%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1334
56.8%
Common 1004
42.8%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 157
 
11.8%
동 91
 
6.8%
강 79
 
5.9%
울 78
 
5.8%
별 77
 
5.8%
특 77
 
5.8%
구 77
 
5.8%
시 77
 
5.8%
지 70
 
5.2%
번 61
 
4.6%
Other values (118) 490
36.7%
Common
ValueCountFrequency (%)
* 523
52.1%
387
38.5%
- 74
 
7.4%
) 8
 
0.8%
( 8
 
0.8%
, 2
 
0.2%
~ 1
 
0.1%
? 1
 
0.1%
Latin
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
Ⅱ 1
 
11.1%
G 1
 
11.1%
L 1
 
11.1%
C 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1334
56.8%
ASCII 1012
43.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 523
51.7%
387
38.2%
- 74
 
7.3%
) 8
 
0.8%
( 8
 
0.8%
B 3
 
0.3%
, 2
 
0.2%
A 2
 
0.2%
~ 1
 
0.1%
G 1
 
0.1%
Other values (3) 3
 
0.3%
Hangul
ValueCountFrequency (%)
서 157
 
11.8%
동 91
 
6.8%
강 79
 
5.9%
울 78
 
5.8%
별 77
 
5.8%
특 77
 
5.8%
구 77
 
5.8%
시 77
 
5.8%
지 70
 
5.2%
번 61
 
4.6%
Other values (118) 490
36.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct76
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T04:11:52.835420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length37.064935
Min length25

Characters and Unicode

Total characters2854
Distinct characters155
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)97.4%

Sample

1st row서울특별시 강서구 공항대로 *** (등촌동)
2nd row서울특별시 강서구 방화대로**다길 *-** (방화동)
3rd row서울특별시 강서구 화곡로**길 ** (화곡동)
4th row서울특별시 강서구 강서로**길 ** (화곡동,중앙빌딩 *층)
5th row서울특별시 강서구 양천로**길 **, ***동 ***호 (염창동,리버팰리스)
ValueCountFrequency (%)
83
16.2%
서울특별시 77
15.1%
강서구 77
15.1%
호 42
 
8.2%
화곡동 20
 
3.9%
층 18
 
3.5%
마곡동 13
 
2.5%
등촌동 9
 
1.8%
양천로 9
 
1.8%
공항대로 7
 
1.4%
Other values (88) 156
30.5%
2024-05-11T04:11:54.116269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 514
18.0%
455
15.9%
서 174
 
6.1%
강 98
 
3.4%
동 96
 
3.4%
, 96
 
3.4%
로 86
 
3.0%
) 83
 
2.9%
( 83
 
2.9%
울 78
 
2.7%
Other values (145) 1091
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1594
55.9%
Other Punctuation 611
 
21.4%
Space Separator 455
 
15.9%
Close Punctuation 83
 
2.9%
Open Punctuation 83
 
2.9%
Dash Punctuation 14
 
0.5%
Uppercase Letter 11
 
0.4%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 174
 
10.9%
강 98
 
6.1%
동 96
 
6.0%
로 86
 
5.4%
울 78
 
4.9%
구 77
 
4.8%
시 77
 
4.8%
별 77
 
4.8%
특 77
 
4.8%
곡 56
 
3.5%
Other values (130) 698
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
A 2
 
18.2%
L 1
 
9.1%
G 1
 
9.1%
C 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 514
84.1%
, 96
 
15.7%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1594
55.9%
Common 1247
43.7%
Latin 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 174
 
10.9%
강 98
 
6.1%
동 96
 
6.0%
로 86
 
5.4%
울 78
 
4.9%
구 77
 
4.8%
시 77
 
4.8%
별 77
 
4.8%
특 77
 
4.8%
곡 56
 
3.5%
Other values (130) 698
43.8%
Common
ValueCountFrequency (%)
* 514
41.2%
455
36.5%
, 96
 
7.7%
) 83
 
6.7%
( 83
 
6.7%
- 14
 
1.1%
~ 1
 
0.1%
? 1
 
0.1%
Latin
ValueCountFrequency (%)
B 6
46.2%
A 2
 
15.4%
Ⅱ 1
 
7.7%
L 1
 
7.7%
G 1
 
7.7%
C 1
 
7.7%
b 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1594
55.9%
ASCII 1259
44.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 514
40.8%
455
36.1%
, 96
 
7.6%
) 83
 
6.6%
( 83
 
6.6%
- 14
 
1.1%
B 6
 
0.5%
A 2
 
0.2%
~ 1
 
0.1%
L 1
 
0.1%
Other values (4) 4
 
0.3%
Hangul
ValueCountFrequency (%)
서 174
 
10.9%
강 98
 
6.1%
동 96
 
6.0%
로 86
 
5.4%
울 78
 
4.9%
구 77
 
4.8%
시 77
 
4.8%
별 77
 
4.8%
특 77
 
4.8%
곡 56
 
3.5%
Other values (130) 698
43.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)79.6%
Missing23
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean16007.593
Minimum7509
Maximum157908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T04:11:54.666660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7509
5-th percentile7524.95
Q17564.5
median7661.5
Q37785
95-th percentile60330.3
Maximum157908
Range150399
Interquartile range (IQR)220.5

Descriptive statistics

Standard deviation34735.058
Coefficient of variation (CV)2.1699114
Kurtosis14.473472
Mean16007.593
Median Absolute Deviation (MAD)114.5
Skewness3.9922752
Sum864410
Variance1.2065243 × 109
MonotonicityNot monotonic
2024-05-11T04:11:55.348870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7547 4
 
5.2%
7803 3
 
3.9%
7528 2
 
2.6%
7718 2
 
2.6%
7583 2
 
2.6%
7779 2
 
2.6%
7802 2
 
2.6%
7631 2
 
2.6%
7672 1
 
1.3%
7603 1
 
1.3%
Other values (33) 33
42.9%
(Missing) 23
29.9%
ValueCountFrequency (%)
7509 1
 
1.3%
7511 1
 
1.3%
7523 1
 
1.3%
7526 1
 
1.3%
7527 1
 
1.3%
7528 2
2.6%
7532 1
 
1.3%
7547 4
5.2%
7548 1
 
1.3%
7563 1
 
1.3%
ValueCountFrequency (%)
157908 1
 
1.3%
157884 1
 
1.3%
157881 1
 
1.3%
7803 3
3.9%
7802 2
2.6%
7796 1
 
1.3%
7795 1
 
1.3%
7794 1
 
1.3%
7789 1
 
1.3%
7788 1
 
1.3%

사업장명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T04:11:56.279123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length6.961039
Min length2

Characters and Unicode

Total characters536
Distinct characters184
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row동서산업개발(주)
2nd row유리테크
3rd row유니테크
4th row(주)베델시스템
5th row제이-엠미디어
ValueCountFrequency (%)
주식회사 16
 
16.2%
소프트 2
 
2.0%
동서산업개발(주 1
 
1.0%
식스아이즈 1
 
1.0%
주)푸름엘엔티 1
 
1.0%
블루몰 1
 
1.0%
케이제이게임즈 1
 
1.0%
지성 1
 
1.0%
메가쓰리팝 1
 
1.0%
노벨전자 1
 
1.0%
Other values (73) 73
73.7%
2024-05-11T04:11:57.966942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
6.3%
22
 
4.1%
이 22
 
4.1%
) 20
 
3.7%
( 20
 
3.7%
식 18
 
3.4%
회 17
 
3.2%
사 17
 
3.2%
트 16
 
3.0%
프 15
 
2.8%
Other values (174) 335
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
82.6%
Space Separator 22
 
4.1%
Close Punctuation 20
 
3.7%
Open Punctuation 20
 
3.7%
Uppercase Letter 19
 
3.5%
Lowercase Letter 8
 
1.5%
Other Symbol 2
 
0.4%
Dash Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
7.7%
이 22
 
5.0%
식 18
 
4.1%
회 17
 
3.8%
사 17
 
3.8%
트 16
 
3.6%
프 15
 
3.4%
스 14
 
3.2%
소 12
 
2.7%
아 9
 
2.0%
Other values (147) 269
60.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
10.5%
E 2
10.5%
N 2
10.5%
S 2
10.5%
M 2
10.5%
T 1
 
5.3%
B 1
 
5.3%
L 1
 
5.3%
H 1
 
5.3%
F 1
 
5.3%
Other values (4) 4
21.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
r 1
12.5%
p 1
12.5%
m 1
12.5%
k 1
12.5%
l 1
12.5%
e 1
12.5%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
83.0%
Common 64
 
11.9%
Latin 27
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
7.6%
이 22
 
4.9%
식 18
 
4.0%
회 17
 
3.8%
사 17
 
3.8%
트 16
 
3.6%
프 15
 
3.4%
스 14
 
3.1%
소 12
 
2.7%
아 9
 
2.0%
Other values (148) 271
60.9%
Latin
ValueCountFrequency (%)
A 2
 
7.4%
E 2
 
7.4%
i 2
 
7.4%
N 2
 
7.4%
S 2
 
7.4%
M 2
 
7.4%
T 1
 
3.7%
B 1
 
3.7%
L 1
 
3.7%
H 1
 
3.7%
Other values (11) 11
40.7%
Common
ValueCountFrequency (%)
22
34.4%
) 20
31.2%
( 20
31.2%
- 1
 
1.6%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
82.6%
ASCII 91
 
17.0%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
7.7%
이 22
 
5.0%
식 18
 
4.1%
회 17
 
3.8%
사 17
 
3.8%
트 16
 
3.6%
프 15
 
3.4%
스 14
 
3.2%
소 12
 
2.7%
아 9
 
2.0%
Other values (147) 269
60.7%
ASCII
ValueCountFrequency (%)
22
24.2%
) 20
22.0%
( 20
22.0%
A 2
 
2.2%
E 2
 
2.2%
i 2
 
2.2%
N 2
 
2.2%
S 2
 
2.2%
M 2
 
2.2%
T 1
 
1.1%
Other values (16) 16
17.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2007-07-31 14:30:43
Maximum2024-03-26 15:11:29
2024-05-11T04:11:58.579663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:11:59.169008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
I
70 
U
 
7

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 70
90.9%
U 7
 
9.1%

Length

2024-05-11T04:11:59.726347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:00.161165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 70
90.9%
u 7
 
9.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct21
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
2018-08-31 23:59:59.0
55 
2021-07-16 00:22:53.0
 
2
2022-12-04 23:01:00.0
 
2
2020-02-21 02:40:00.0
 
1
2021-12-05 22:09:00.0
 
1
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique18 ?
Unique (%)23.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 55
71.4%
2021-07-16 00:22:53.0 2
 
2.6%
2022-12-04 23:01:00.0 2
 
2.6%
2020-02-21 02:40:00.0 1
 
1.3%
2021-12-05 22:09:00.0 1
 
1.3%
2023-12-03 00:08:00.0 1
 
1.3%
2022-12-04 00:06:00.0 1
 
1.3%
2019-02-16 02:21:23.0 1
 
1.3%
2019-03-01 02:21:54.0 1
 
1.3%
2022-12-08 22:04:00.0 1
 
1.3%
Other values (11) 11
 
14.3%

Length

2024-05-11T04:12:00.470420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 55
35.7%
23:59:59.0 55
35.7%
00:22:53.0 3
 
1.9%
2022-12-04 3
 
1.9%
22:04:00.0 2
 
1.3%
00:01:00.0 2
 
1.3%
23:01:00.0 2
 
1.3%
2021-07-16 2
 
1.3%
2023-12-02 1
 
0.6%
00:23:21.0 1
 
0.6%
Other values (28) 28
18.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)91.5%
Missing6
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean186190.97
Minimum182863.21
Maximum189069.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T04:12:00.836187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182863.21
5-th percentile183369.13
Q1185467.35
median186227.07
Q3187089.36
95-th percentile187988.08
Maximum189069.91
Range6206.7038
Interquartile range (IQR)1622.0073

Descriptive statistics

Standard deviation1349.306
Coefficient of variation (CV)0.007246893
Kurtosis0.11324857
Mean186190.97
Median Absolute Deviation (MAD)785.35187
Skewness-0.54436368
Sum13219559
Variance1820626.8
MonotonicityNot monotonic
2024-05-11T04:12:01.418405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187952.560027898 4
 
5.2%
188023.60012538 2
 
2.6%
186999.947839312 2
 
2.6%
185467.348926767 2
 
2.6%
185787.204646142 1
 
1.3%
185543.257740937 1
 
1.3%
187733.160920858 1
 
1.3%
185765.208040565 1
 
1.3%
187197.468812217 1
 
1.3%
185438.643619267 1
 
1.3%
Other values (55) 55
71.4%
(Missing) 6
 
7.8%
ValueCountFrequency (%)
182863.20722894 1
1.3%
183173.615351883 1
1.3%
183353.924328891 1
1.3%
183366.236140415 1
1.3%
183372.025068083 1
1.3%
183382.861571856 1
1.3%
183837.0 1
1.3%
184636.53344075 1
1.3%
184733.0 1
1.3%
184825.577234469 1
1.3%
ValueCountFrequency (%)
189069.911063505 1
 
1.3%
188072.460191824 1
 
1.3%
188023.60012538 2
2.6%
187952.560027898 4
5.2%
187831.720345753 1
 
1.3%
187789.862888247 1
 
1.3%
187750.166388257 1
 
1.3%
187733.160920858 1
 
1.3%
187549.493167937 1
 
1.3%
187440.091309569 1
 
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)91.5%
Missing6
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean449839.69
Minimum447286.8
Maximum453178.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T04:12:02.177499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447286.8
5-th percentile447407.76
Q1448348.57
median450434.09
Q3451053.85
95-th percentile451966.32
Maximum453178.31
Range5891.5034
Interquartile range (IQR)2705.2745

Descriptive statistics

Standard deviation1603.0961
Coefficient of variation (CV)0.0035637053
Kurtosis-1.1931943
Mean449839.69
Median Absolute Deviation (MAD)1144.8671
Skewness-0.17096126
Sum31938618
Variance2569917
MonotonicityNot monotonic
2024-05-11T04:12:02.767479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450562.020225978 4
 
5.2%
450047.730772546 2
 
2.6%
447445.296080966 2
 
2.6%
448352.42561757 2
 
2.6%
450997.655472589 1
 
1.3%
448454.07527297 1
 
1.3%
450747.952249309 1
 
1.3%
448344.719598967 1
 
1.3%
450519.999405521 1
 
1.3%
449990.140918993 1
 
1.3%
Other values (55) 55
71.4%
(Missing) 6
 
7.8%
ValueCountFrequency (%)
447286.80225569 1
1.3%
447304.40011336 1
1.3%
447337.344905427 1
1.3%
447381.645907113 1
1.3%
447433.867776886 1
1.3%
447445.296080966 2
2.6%
447550.440958054 1
1.3%
447631.090108847 1
1.3%
447779.23084623 1
1.3%
447806.55903892 1
1.3%
ValueCountFrequency (%)
453178.305694113 1
1.3%
452713.505241493 1
1.3%
452263.663755592 1
1.3%
452007.862247458 1
1.3%
451924.787294849 1
1.3%
451884.0 1
1.3%
451722.364949373 1
1.3%
451687.0 1
1.3%
451485.251875922 1
1.3%
451469.5440772 1
1.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
게임물배급업
66 
<NA>
11 

Length

Max length6
Median length6
Mean length5.7142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 66
85.7%
<NA> 11
 
14.3%

Length

2024-05-11T04:12:03.364079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:03.812569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 66
85.7%
na 11
 
14.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
유통관련업
66 
<NA>
11 

Length

Max length5
Median length5
Mean length4.8571429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 66
85.7%
<NA> 11
 
14.3%

Length

2024-05-11T04:12:04.303333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:04.628281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 66
85.7%
na 11
 
14.3%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
69 
0
 
4
9
 
1
14
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.7012987
Min length1

Unique

Unique4 ?
Unique (%)5.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
89.6%
0 4
 
5.2%
9 1
 
1.3%
14 1
 
1.3%
7 1
 
1.3%
2 1
 
1.3%

Length

2024-05-11T04:12:05.074269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:05.486148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
89.6%
0 4
 
5.2%
9 1
 
1.3%
14 1
 
1.3%
7 1
 
1.3%
2 1
 
1.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing75
Missing (%)97.4%
Memory size748.0 B
2024-05-11T04:12:05.781152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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 row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T04:12:06.713144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct44
Distinct (%)67.7%
Missing12
Missing (%)15.6%
Memory size748.0 B
2024-05-11T04:12:07.218626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.3076923
Min length2

Characters and Unicode

Total characters410
Distinct characters69
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

Unique35 ?
Unique (%)53.8%

Sample

1st row아케이드
2nd row무역
3rd row아케이드
4th row아케이드
5th row모바일
ValueCountFrequency (%)
아케이드 9
 
10.5%
온라인 8
 
9.3%
모바일 6
 
7.0%
게임 6
 
7.0%
온라인게임 4
 
4.7%
모바일게임 4
 
4.7%
온라인게임물 3
 
3.5%
게임기 3
 
3.5%
게임물 3
 
3.5%
및 3
 
3.5%
Other values (32) 37
43.0%
2024-05-11T04:12:08.415557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 41
 
10.0%
임 41
 
10.0%
인 23
 
5.6%
라 22
 
5.4%
21
 
5.1%
이 21
 
5.1%
온 21
 
5.1%
드 19
 
4.6%
케 18
 
4.4%
아 17
 
4.1%
Other values (59) 166
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
86.3%
Space Separator 21
 
5.1%
Uppercase Letter 15
 
3.7%
Other Punctuation 13
 
3.2%
Lowercase Letter 5
 
1.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 41
 
11.6%
임 41
 
11.6%
인 23
 
6.5%
라 22
 
6.2%
이 21
 
5.9%
온 21
 
5.9%
드 19
 
5.4%
케 18
 
5.1%
아 17
 
4.8%
바 16
 
4.5%
Other values (45) 115
32.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
33.3%
P 5
33.3%
R 2
 
13.3%
V 2
 
13.3%
A 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
p 2
40.0%
i 1
20.0%
o 1
20.0%
s 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 3
 
23.1%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
86.3%
Common 36
 
8.8%
Latin 20
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 41
 
11.6%
임 41
 
11.6%
인 23
 
6.5%
라 22
 
6.2%
이 21
 
5.9%
온 21
 
5.9%
드 19
 
5.4%
케 18
 
5.1%
아 17
 
4.8%
바 16
 
4.5%
Other values (45) 115
32.5%
Latin
ValueCountFrequency (%)
C 5
25.0%
P 5
25.0%
p 2
 
10.0%
R 2
 
10.0%
V 2
 
10.0%
i 1
 
5.0%
o 1
 
5.0%
s 1
 
5.0%
A 1
 
5.0%
Common
ValueCountFrequency (%)
21
58.3%
, 10
27.8%
/ 3
 
8.3%
) 1
 
2.8%
( 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
86.3%
ASCII 56
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 41
 
11.6%
임 41
 
11.6%
인 23
 
6.5%
라 22
 
6.2%
이 21
 
5.9%
온 21
 
5.9%
드 19
 
5.4%
케 18
 
5.1%
아 17
 
4.8%
바 16
 
4.5%
Other values (45) 115
32.5%
ASCII
ValueCountFrequency (%)
21
37.5%
, 10
17.9%
C 5
 
8.9%
P 5
 
8.9%
/ 3
 
5.4%
p 2
 
3.6%
R 2
 
3.6%
V 2
 
3.6%
i 1
 
1.8%
o 1
 
1.8%
Other values (4) 4
 
7.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)92.3%
Missing25
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean332.24192
Minimum0
Maximum9894
Zeros2
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T04:12:09.150613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.31
Q128.2575
median50
Q3104.32
95-th percentile640.669
Maximum9894
Range9894
Interquartile range (IQR)76.0625

Descriptive statistics

Standard deviation1416.0046
Coefficient of variation (CV)4.2619684
Kurtosis42.927403
Mean332.24192
Median Absolute Deviation (MAD)26.63
Skewness6.3999849
Sum17276.58
Variance2005068.9
MonotonicityNot monotonic
2024-05-11T04:12:09.761755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 2
 
2.6%
50.0 2
 
2.6%
25.93 2
 
2.6%
135.45 2
 
2.6%
279.61 1
 
1.3%
81.89 1
 
1.3%
26.0 1
 
1.3%
62.0 1
 
1.3%
21.66 1
 
1.3%
141.43 1
 
1.3%
Other values (38) 38
49.4%
(Missing) 25
32.5%
ValueCountFrequency (%)
0.0 2
2.6%
9.0 1
1.3%
13.2 1
1.3%
21.66 1
1.3%
22.78 1
1.3%
24.84 1
1.3%
25.0 1
1.3%
25.93 2
2.6%
26.0 1
1.3%
26.44 1
1.3%
ValueCountFrequency (%)
9894.0 1
1.3%
2927.9 1
1.3%
1058.46 1
1.3%
298.84 1
1.3%
279.61 1
1.3%
159.81 1
1.3%
141.43 1
1.3%
135.45 2
2.6%
134.04 1
1.3%
122.06 1
1.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)75.0%
Missing69
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum12
Zeros3
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T04:12:10.268352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38.5
95-th percentile11.3
Maximum12
Range12
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation4.9569576
Coefficient of variation (CV)1.1015461
Kurtosis-1.7145078
Mean4.5
Median Absolute Deviation (MAD)3
Skewness0.49261274
Sum36
Variance24.571429
MonotonicityNot monotonic
2024-05-11T04:12:10.762897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3
 
3.9%
8 1
 
1.3%
10 1
 
1.3%
5 1
 
1.3%
1 1
 
1.3%
12 1
 
1.3%
(Missing) 69
89.6%
ValueCountFrequency (%)
0 3
3.9%
1 1
 
1.3%
5 1
 
1.3%
8 1
 
1.3%
10 1
 
1.3%
12 1
 
1.3%
ValueCountFrequency (%)
12 1
 
1.3%
10 1
 
1.3%
8 1
 
1.3%
5 1
 
1.3%
1 1
 
1.3%
0 3
3.9%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
71 
0
 
4
1
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7662338
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
92.2%
0 4
 
5.2%
1 1
 
1.3%
4 1
 
1.3%

Length

2024-05-11T04:12:11.308626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:11.782893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
92.2%
0 4
 
5.2%
1 1
 
1.3%
4 1
 
1.3%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing75
Missing (%)97.4%
Memory size748.0 B
2024-05-11T04:12:12.170481image/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%
2024-05-11T04:12:13.020724image/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 (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
73 
0
 
4

Length

Max length4
Median length4
Mean length3.8441558
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> 73
94.8%
0 4
 
5.2%

Length

2024-05-11T04:12:13.531264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:13.978029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
94.8%
0 4
 
5.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
73 
0
 
4

Length

Max length4
Median length4
Mean length3.8441558
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> 73
94.8%
0 4
 
5.2%

Length

2024-05-11T04:12:14.360086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:14.715588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
94.8%
0 4
 
5.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
73 
0
 
4

Length

Max length4
Median length4
Mean length3.8441558
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> 73
94.8%
0 4
 
5.2%

Length

2024-05-11T04:12:15.137728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:15.540302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
94.8%
0 4
 
5.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
73 
0
 
4

Length

Max length4
Median length4
Mean length3.8441558
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> 73
94.8%
0 4
 
5.2%

Length

2024-05-11T04:12:16.068375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:16.724164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
94.8%
0 4
 
5.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
73 
0
 
4

Length

Max length4
Median length4
Mean length3.8441558
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> 73
94.8%
0 4
 
5.2%

Length

2024-05-11T04:12:17.162506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:12:17.569579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
94.8%
0 4
 
5.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing73
Missing (%)94.8%
Memory size748.0 B
2024-05-11T04:12:18.029077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters22
Distinct characters9
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

Unique2 ?
Unique (%)50.0%

Sample

1st row일반주거지역
2nd row준주거지역
3rd row일반주거지역
4th row준공업지역
ValueCountFrequency (%)
일반주거지역 2
50.0%
준주거지역 1
25.0%
준공업지역 1
25.0%
2024-05-11T04:12:19.223416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
준 2
9.1%
공 1
 
4.5%
업 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
준 2
9.1%
공 1
 
4.5%
업 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
준 2
9.1%
공 1
 
4.5%
업 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
주 3
13.6%
거 3
13.6%
일 2
9.1%
반 2
9.1%
준 2
9.1%
공 1
 
4.5%
업 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF224112199900000119990703<NA>3폐업3폐업20180123<NA><NA><NA>514-8022<NA>157030서울특별시 강서구 등촌동 ***-*번지서울특별시 강서구 공항대로 *** (등촌동)<NA>동서산업개발(주)2018-01-23 18:55:01I2018-08-31 23:59:59.0<NA>186577.737888450587.974495게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13150000CDFF224112199900000219990909<NA>1영업/정상13영업중<NA><NA><NA><NA>2285-4731<NA>157852서울특별시 강서구 방화동 ***-**번지서울특별시 강서구 방화대로**다길 *-** (방화동)<NA>유리테크2007-07-31 14:30:43I2018-08-31 23:59:59.0<NA>183353.924329451410.501036게임물배급업유통관련업<NA><NA>무역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFF224112199900000319991025<NA>1영업/정상13영업중<NA><NA><NA><NA>2605-1230<NA>157925서울특별시 강서구 화곡동 ****-**번지서울특별시 강서구 화곡로**길 ** (화곡동)<NA>유니테크2007-07-31 14:32:15I2018-08-31 23:59:59.0<NA>185464.842447448618.938817게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000CDFF224112200200000120021026<NA>1영업/정상13영업중<NA><NA><NA><NA>698-5343<NA>157882서울특별시 강서구 화곡동 ***-**번지 중앙빌딩 *층서울특별시 강서구 강서로**길 ** (화곡동,중앙빌딩 *층)<NA>(주)베델시스템2007-07-31 14:34:36I2018-08-31 23:59:59.0<NA>185973.59856447835.032409게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFF224112200300000120030902<NA>1영업/정상13영업중<NA><NA><NA><NA>6346-9357<NA>157862서울특별시 강서구 염창동 ***-*번지 리버팰리스 ***동 ***호서울특별시 강서구 양천로**길 **, ***동 ***호 (염창동,리버팰리스)<NA>제이-엠미디어2007-12-24 14:06:58I2018-08-31 23:59:59.0<NA>189069.911064449828.683055게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFF224112200400000120040703<NA>1영업/정상13영업중<NA><NA><NA><NA>3663-2660<NA>157840서울특별시 강서구 등촌동 ***-**번지 서울산업지원센터 A동 ***호서울특별시 강서구 공항대로**길 **, A동 ***호 (등촌동,서울산업지원센터)<NA>새아소프트(주)2007-07-31 14:39:01I2018-08-31 23:59:59.0<NA>188023.600125450047.730773게임물배급업유통관련업<NA><NA>모바일<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63150000CDFF224112200500000120050414<NA>1영업/정상13영업중<NA><NA><NA><NA>3662-9111<NA>157863서울특별시 강서구 염창동 ***-*번지 코인빌딩 *층서울특별시 강서구 공항대로 *** (염창동,코인빌딩 *층)<NA>(주)나인브라더스2007-07-31 14:41:26I2018-08-31 23:59:59.0<NA>188072.460192449872.094409게임물배급업유통관련업<NA><NA>온라인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000CDFF224112200500000220050510<NA>1영업/정상13영업중<NA><NA><NA><NA>0303-4710-0511<NA>157807서울특별시 강서구 가양동 ****-*번지 동양트레벨스카이 ***서울특별시 강서구 양천로**길 *-** (가양동,동양트레벨스카이 ***)<NA>(주)노리틀2007-07-31 18:19:27I2018-08-31 23:59:59.0<NA>186758.989604451280.786918게임물배급업유통관련업<NA><NA>온라인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000CDFF224112200500000320051108<NA>1영업/정상13영업중<NA><NA><NA><NA>2698-6006<NA><NA>서울특별시 강서구 화곡동 ***-*번지서울특별시 강서구 국회대로 **-** (화곡동)<NA>(주)지엠밸류인2010-01-20 14:54:04I2018-08-31 23:59:59.0<NA>186063.005712447286.802256게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFF224112200600000120060912<NA>3폐업3폐업20080324<NA><NA><NA>2695-5640<NA>157882서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 강서로**가길 ** (화곡동)<NA>홀리스2008-03-25 13:20:24I2018-08-31 23:59:59.0<NA>186086.228907448108.231441게임물배급업유통관련업9기타게임물159.8181근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
673150000CDFF224112202000000420200820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* ***-*호서울특별시 강서구 공항대로 ***, ***-*호 (마곡동)7802대산몰2020-08-20 10:10:10I2020-08-22 00:23:13.0<NA><NA><NA>게임물배급업유통관련업<NA><NA>온라인/모바일게임25.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683150000CDFF224112202100000120170526<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 매그넘***서울특별시 강서구 마곡중앙*로 **, 매그넘*** *층 ***호 (마곡동)7803(주)초콜릿소프트2021-07-14 09:52:27I2021-07-16 00:22:53.0<NA><NA><NA>게임물배급업유통관련업0<NA>모바일게임122.0600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
693150000CDFF224112202100000220171201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-**서울특별시 강서구 마곡중앙*로*길 * (마곡동)7794주식회사 이노시뮬레이션2021-07-14 10:11:27I2021-07-16 00:22:53.0<NA><NA><NA>게임물배급업유통관련업0<NA>시뮬레이터2927.900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
703150000CDFF224112202100000320210910<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* ***-*호서울특별시 강서구 공항대로 ***, ***-*호 (마곡동)7802(주)애저소프트2021-09-10 17:55:52I2021-09-12 00:22:49.0<NA><NA><NA>게임물배급업유통관련업0<NA>게임물25.9300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
713150000CDFF224112202100000420190403<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6411-8183<NA><NA>서울특별시 강서구 마곡동 ***-* 잉카인터넷서울특별시 강서구 마곡중앙**로 **, 잉카인터넷 (마곡동)7789(주)잉카인터넷2021-12-23 10:34:38I2021-12-25 00:22:42.0<NA><NA><NA>게임물배급업유통관련업0<NA>모바일게임 배급9894.0120<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
723150000CDFF224112202200000120210209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 ***-** 신원메디칼프라자 ***호서울특별시 강서구 강서로**길 ***, 신원메디칼프라자 ***-***호 (내발산동)7635주식회사 프라이드코퍼레이션2022-08-30 16:42:59I2021-12-09 00:01:00.0<NA>184636.533441450143.872075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733150000CDFF22411220230000012023-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 ***-** 우림블루나인비즈니스센터 비동 ***호서울특별시 강서구 양천로 ***, 우림블루나인비즈니스센터 비동 ***호 (염창동)7547주식회사 어썸아일랜드2023-02-27 14:03:35I2022-12-03 00:01:00.0<NA>187952.560028450562.020226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743150000CDFF22411220230000022023-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-* 화곡대림아파트 *동 ****호서울특별시 강서구 월정로 ***, *동 ****호 (화곡동, 화곡대림아파트)7766은 세상2023-05-09 11:32:22I2022-12-04 23:01:00.0<NA>185554.861081447945.761361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753150000CDFF22411220230000032023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 *** LG사이언스파크서울특별시 강서구 마곡중앙**로 **, LG사이언스파크 (마곡동)7796주식회사 엘지전자2023-12-22 09:50:13I2022-11-01 22:04:00.0<NA>184825.577234451201.280251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763150000CDFF22411220240000012024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 **-*** 화성빌라서울특별시 강서구 초록마을로**길 **, b동 ***호 (화곡동, 화성빌라)7724밀크엠파이어(MilkEmpire)2024-03-26 15:11:29I2023-12-02 22:08:00.0<NA>186635.79447448567.734402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>