Overview

Dataset statistics

Number of variables56
Number of observations168
Missing cells4707
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.9 KiB
Average record size in memory486.8 B

Variable types

Categorical16
Text7
DateTime4
Unsupported22
Numeric7

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-16706/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (80.9%)Imbalance
지하층수 is highly imbalanced (83.2%)Imbalance
건물용도명 is highly imbalanced (75.0%)Imbalance
통로너비 is highly imbalanced (90.7%)Imbalance
조명시설조도 is highly imbalanced (90.7%)Imbalance
노래방실수 is highly imbalanced (90.7%)Imbalance
청소년실수 is highly imbalanced (90.7%)Imbalance
총게임기수 is highly imbalanced (90.7%)Imbalance
인허가취소일자 has 168 (100.0%) missing valuesMissing
폐업일자 has 126 (75.0%) missing valuesMissing
휴업시작일자 has 168 (100.0%) missing valuesMissing
휴업종료일자 has 168 (100.0%) missing valuesMissing
재개업일자 has 168 (100.0%) missing valuesMissing
전화번호 has 119 (70.8%) missing valuesMissing
소재지면적 has 168 (100.0%) missing valuesMissing
소재지우편번호 has 120 (71.4%) missing valuesMissing
도로명우편번호 has 67 (39.9%) missing valuesMissing
업태구분명 has 168 (100.0%) missing valuesMissing
좌표정보(X) has 6 (3.6%) missing valuesMissing
좌표정보(Y) has 6 (3.6%) missing valuesMissing
총층수 has 155 (92.3%) missing valuesMissing
제작취급품목내용 has 27 (16.1%) missing valuesMissing
시설면적 has 68 (40.5%) missing valuesMissing
지상층수 has 159 (94.6%) missing valuesMissing
비상계단여부 has 168 (100.0%) missing valuesMissing
비상구여부 has 168 (100.0%) missing valuesMissing
자동환기여부 has 168 (100.0%) missing valuesMissing
청소년실여부 has 168 (100.0%) missing valuesMissing
특수조명여부 has 168 (100.0%) missing valuesMissing
방음시설여부 has 168 (100.0%) missing valuesMissing
비디오재생기명 has 168 (100.0%) missing valuesMissing
조명시설유무 has 168 (100.0%) missing valuesMissing
음향시설여부 has 168 (100.0%) missing valuesMissing
편의시설여부 has 168 (100.0%) missing valuesMissing
소방시설여부 has 168 (100.0%) missing valuesMissing
기존게임업외업종명 has 168 (100.0%) missing valuesMissing
제공게임물명 has 168 (100.0%) missing valuesMissing
공연장형태구분명 has 168 (100.0%) missing valuesMissing
품목명 has 168 (100.0%) missing valuesMissing
최초등록시점 has 168 (100.0%) missing valuesMissing
지역구분명 has 158 (94.0%) missing valuesMissing
관리번호 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
총층수 has 2 (1.2%) zerosZeros
시설면적 has 4 (2.4%) zerosZeros
지상층수 has 2 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-10 23:57:13.587921
Analysis finished2024-05-10 23:57:16.018519
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3150000
168 

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 168
100.0%

Length

2024-05-10T23:57:16.413654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:16.843432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 168
100.0%

관리번호
Text

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-10T23:57:17.443735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3360
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

Unique168 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000002
3rd rowCDFF2241082000000001
4th rowCDFF2241082000000003
5th rowCDFF2241082000000004
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.6%
cdff2241082016000008 1
 
0.6%
cdff2241082018000002 1
 
0.6%
cdff2241082015000001 1
 
0.6%
cdff2241082015000003 1
 
0.6%
cdff2241082016000001 1
 
0.6%
cdff2241082016000004 1
 
0.6%
cdff2241082016000005 1
 
0.6%
cdff2241082016000006 1
 
0.6%
cdff2241082016000007 1
 
0.6%
Other values (158) 158
94.0%
2024-05-10T23:57:18.741617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1235
36.8%
2 580
17.3%
F 336
 
10.0%
1 321
 
9.6%
4 204
 
6.1%
8 196
 
5.8%
C 168
 
5.0%
D 168
 
5.0%
3 42
 
1.2%
6 31
 
0.9%
Other values (3) 79
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2688
80.0%
Uppercase Letter 672
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1235
45.9%
2 580
21.6%
1 321
 
11.9%
4 204
 
7.6%
8 196
 
7.3%
3 42
 
1.6%
6 31
 
1.2%
5 29
 
1.1%
9 28
 
1.0%
7 22
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 336
50.0%
C 168
25.0%
D 168
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2688
80.0%
Latin 672
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1235
45.9%
2 580
21.6%
1 321
 
11.9%
4 204
 
7.6%
8 196
 
7.3%
3 42
 
1.6%
6 31
 
1.2%
5 29
 
1.1%
9 28
 
1.0%
7 22
 
0.8%
Latin
ValueCountFrequency (%)
F 336
50.0%
C 168
25.0%
D 168
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1235
36.8%
2 580
17.3%
F 336
 
10.0%
1 321
 
9.6%
4 204
 
6.1%
8 196
 
5.8%
C 168
 
5.0%
D 168
 
5.0%
3 42
 
1.2%
6 31
 
0.9%
Other values (3) 79
 
2.4%

인허가일자
Date

Distinct165
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1999-07-03 00:00:00
Maximum2024-03-26 00:00:00
2024-05-10T23:57:19.342861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:57:19.795527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
125 
3
39 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 125
74.4%
3 39
 
23.2%
5 4
 
2.4%

Length

2024-05-10T23:57:20.637940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:21.109330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 125
74.4%
3 39
 
23.2%
5 4
 
2.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
125 
폐업
39 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 125
74.4%
폐업 39
 
23.2%
제외/삭제/전출 4
 
2.4%

Length

2024-05-10T23:57:21.717340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:22.157199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 125
74.4%
폐업 39
 
23.2%
제외/삭제/전출 4
 
2.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
125 
3
39 
15
 
4

Length

Max length2
Median length2
Mean length1.7678571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 125
74.4%
3 39
 
23.2%
15 4
 
2.4%

Length

2024-05-10T23:57:22.789474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:23.335348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 125
74.4%
3 39
 
23.2%
15 4
 
2.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
125 
폐업
39 
전출
 
4

Length

Max length3
Median length3
Mean length2.7440476
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 125
74.4%
폐업 39
 
23.2%
전출 4
 
2.4%

Length

2024-05-10T23:57:23.940347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:24.404233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 125
74.4%
폐업 39
 
23.2%
전출 4
 
2.4%

폐업일자
Date

MISSING 

Distinct42
Distinct (%)100.0%
Missing126
Missing (%)75.0%
Memory size1.4 KiB
Minimum2007-11-21 00:00:00
Maximum2024-04-23 00:00:00
2024-05-10T23:57:24.796444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:57:25.423114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct47
Distinct (%)95.9%
Missing119
Missing (%)70.8%
Memory size1.4 KiB
2024-05-10T23:57:26.228877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9.7142857
Min length8

Characters and Unicode

Total characters476
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

Unique45 ?
Unique (%)91.8%

Sample

1st row753-7114
2nd row668-7015
3rd row2601-6070
4th row2608-2369
5th row698-4462
ValueCountFrequency (%)
2658-9520 2
 
4.1%
2698-6006 2
 
4.1%
027846100 1
 
2.0%
02-2607-9490 1
 
2.0%
2699-4737 1
 
2.0%
02-2697-2426 1
 
2.0%
3662-5341 1
 
2.0%
2654-8934 1
 
2.0%
583-1983 1
 
2.0%
2603-0163 1
 
2.0%
Other values (37) 37
75.5%
2024-05-10T23:57:27.650864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 82
17.2%
0 69
14.5%
- 61
12.8%
2 54
11.3%
5 36
7.6%
3 36
7.6%
9 35
7.4%
7 29
 
6.1%
4 28
 
5.9%
8 25
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 415
87.2%
Dash Punctuation 61
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 82
19.8%
0 69
16.6%
2 54
13.0%
5 36
8.7%
3 36
8.7%
9 35
8.4%
7 29
 
7.0%
4 28
 
6.7%
8 25
 
6.0%
1 21
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 82
17.2%
0 69
14.5%
- 61
12.8%
2 54
11.3%
5 36
7.6%
3 36
7.6%
9 35
7.4%
7 29
 
6.1%
4 28
 
5.9%
8 25
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 82
17.2%
0 69
14.5%
- 61
12.8%
2 54
11.3%
5 36
7.6%
3 36
7.6%
9 35
7.4%
7 29
 
6.1%
4 28
 
5.9%
8 25
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)54.2%
Missing120
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean157729.67
Minimum157030
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:28.351732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157030
5-th percentile157030
Q1157807.75
median157846.5
Q3157903.25
95-th percentile157919.9
Maximum157928
Range898
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation309.24378
Coefficient of variation (CV)0.0019605936
Kurtosis1.4796246
Mean157729.67
Median Absolute Deviation (MAD)48
Skewness-1.8115407
Sum7571024
Variance95631.716
MonotonicityNot monotonic
2024-05-10T23:57:28.885610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
157840 7
 
4.2%
157030 7
 
4.2%
157904 3
 
1.8%
157910 2
 
1.2%
157882 2
 
1.2%
157909 2
 
1.2%
157853 2
 
1.2%
157801 2
 
1.2%
157810 2
 
1.2%
157922 2
 
1.2%
Other values (16) 17
 
10.1%
(Missing) 120
71.4%
ValueCountFrequency (%)
157030 7
4.2%
157210 1
 
0.6%
157779 1
 
0.6%
157793 1
 
0.6%
157801 2
 
1.2%
157810 2
 
1.2%
157838 1
 
0.6%
157839 1
 
0.6%
157840 7
4.2%
157842 1
 
0.6%
ValueCountFrequency (%)
157928 1
 
0.6%
157922 2
1.2%
157916 1
 
0.6%
157910 2
1.2%
157909 2
1.2%
157907 1
 
0.6%
157904 3
1.8%
157903 1
 
0.6%
157897 1
 
0.6%
157882 2
1.2%

지번주소
Text

Distinct144
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-10T23:57:29.673780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40.5
Mean length31.232143
Min length19

Characters and Unicode

Total characters5247
Distinct characters193
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

Unique129 ?
Unique (%)76.8%

Sample

1st row서울특별시 강서구 등촌동 ***-**번지
2nd row서울특별시 강서구 가양동 ****번지 가양테크노타운 ***
3rd row서울특별시 강서구 염창동 ***번지 양화진빌딩 ***호
4th row서울특별시 강서구 화곡동 ***-*
5th row서울특별시 강서구 화곡동 ***-**번지 명신타운 *차 ***호
ValueCountFrequency (%)
서울특별시 168
17.9%
강서구 168
17.9%
번지 134
14.3%
호 74
 
7.9%
화곡동 63
 
6.7%
39
 
4.2%
등촌동 35
 
3.7%
층 26
 
2.8%
마곡동 22
 
2.3%
가양동 17
 
1.8%
Other values (126) 192
20.5%
2024-05-10T23:57:31.225901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1184
22.6%
871
16.6%
서 347
 
6.6%
동 200
 
3.8%
강 176
 
3.4%
울 173
 
3.3%
별 168
 
3.2%
시 168
 
3.2%
특 168
 
3.2%
구 168
 
3.2%
Other values (183) 1624
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2961
56.4%
Other Punctuation 1189
22.7%
Space Separator 871
 
16.6%
Dash Punctuation 153
 
2.9%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Uppercase Letter 17
 
0.3%
Decimal Number 16
 
0.3%
Letter Number 3
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 347
 
11.7%
동 200
 
6.8%
강 176
 
5.9%
울 173
 
5.8%
별 168
 
5.7%
시 168
 
5.7%
특 168
 
5.7%
구 168
 
5.7%
지 156
 
5.3%
번 134
 
4.5%
Other values (159) 1103
37.3%
Decimal Number
ValueCountFrequency (%)
4 4
25.0%
0 3
18.8%
2 3
18.8%
9 1
 
6.2%
1 1
 
6.2%
7 1
 
6.2%
6 1
 
6.2%
5 1
 
6.2%
3 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
41.2%
A 4
23.5%
C 3
17.6%
M 1
 
5.9%
K 1
 
5.9%
S 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 1184
99.6%
, 3
 
0.3%
? 2
 
0.2%
Space Separator
ValueCountFrequency (%)
871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2961
56.4%
Common 2266
43.2%
Latin 20
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 347
 
11.7%
동 200
 
6.8%
강 176
 
5.9%
울 173
 
5.8%
별 168
 
5.7%
시 168
 
5.7%
특 168
 
5.7%
구 168
 
5.7%
지 156
 
5.3%
번 134
 
4.5%
Other values (159) 1103
37.3%
Common
ValueCountFrequency (%)
* 1184
52.3%
871
38.4%
- 153
 
6.8%
( 17
 
0.8%
) 17
 
0.8%
4 4
 
0.2%
0 3
 
0.1%
2 3
 
0.1%
, 3
 
0.1%
~ 3
 
0.1%
Other values (7) 8
 
0.4%
Latin
ValueCountFrequency (%)
B 7
35.0%
A 4
20.0%
C 3
15.0%
Ⅱ 3
15.0%
M 1
 
5.0%
K 1
 
5.0%
S 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2961
56.4%
ASCII 2283
43.5%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1184
51.9%
871
38.2%
- 153
 
6.7%
( 17
 
0.7%
) 17
 
0.7%
B 7
 
0.3%
A 4
 
0.2%
4 4
 
0.2%
C 3
 
0.1%
0 3
 
0.1%
Other values (13) 20
 
0.9%
Hangul
ValueCountFrequency (%)
서 347
 
11.7%
동 200
 
6.8%
강 176
 
5.9%
울 173
 
5.8%
별 168
 
5.7%
시 168
 
5.7%
특 168
 
5.7%
구 168
 
5.7%
지 156
 
5.3%
번 134
 
4.5%
Other values (159) 1103
37.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명주소
Text

Distinct163
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-10T23:57:31.743656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45
Mean length37.60119
Min length23

Characters and Unicode

Total characters6317
Distinct characters205
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)94.0%

Sample

1st row서울특별시 강서구 공항대로 *** (등촌동)
2nd row서울특별시 강서구 허준로 *** (가양동,가양테크노타운 ***)
3rd row서울특별시 강서구 양천로 ***, ***호 (염창동,양화진빌딩)
4th row서울특별시 강서구 곰달래로 ** (화곡동)
5th row서울특별시 강서구 곰달래로**길 **-**, ***호 (화곡동,명신타운 *차)
ValueCountFrequency (%)
173
15.7%
서울특별시 168
15.2%
강서구 168
15.2%
호 95
 
8.6%
화곡동 42
 
3.8%
층 28
 
2.5%
양천로 20
 
1.8%
마곡동 20
 
1.8%
동 17
 
1.5%
등촌동 17
 
1.5%
Other values (176) 356
32.2%
2024-05-10T23:57:32.745403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1157
18.3%
998
15.8%
서 379
 
6.0%
, 214
 
3.4%
동 212
 
3.4%
강 210
 
3.3%
로 186
 
2.9%
) 184
 
2.9%
( 184
 
2.9%
울 173
 
2.7%
Other values (195) 2420
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3489
55.2%
Other Punctuation 1373
 
21.7%
Space Separator 998
 
15.8%
Close Punctuation 184
 
2.9%
Open Punctuation 184
 
2.9%
Uppercase Letter 35
 
0.6%
Dash Punctuation 33
 
0.5%
Decimal Number 13
 
0.2%
Math Symbol 4
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 379
 
10.9%
동 212
 
6.1%
강 210
 
6.0%
로 186
 
5.3%
울 173
 
5.0%
시 168
 
4.8%
별 168
 
4.8%
구 168
 
4.8%
특 168
 
4.8%
곡 116
 
3.3%
Other values (165) 1541
44.2%
Uppercase Letter
ValueCountFrequency (%)
B 11
31.4%
A 8
22.9%
C 5
14.3%
E 2
 
5.7%
M 2
 
5.7%
G 2
 
5.7%
K 1
 
2.9%
S 1
 
2.9%
N 1
 
2.9%
O 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
3 2
15.4%
6 2
15.4%
4 2
15.4%
0 2
15.4%
9 1
7.7%
5 1
7.7%
2 1
7.7%
1 1
7.7%
8 1
7.7%
Other Punctuation
ValueCountFrequency (%)
* 1157
84.3%
, 214
 
15.6%
? 2
 
0.1%
Space Separator
ValueCountFrequency (%)
998
100.0%
Close Punctuation
ValueCountFrequency (%)
) 184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3489
55.2%
Common 2789
44.2%
Latin 39
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 379
 
10.9%
동 212
 
6.1%
강 210
 
6.0%
로 186
 
5.3%
울 173
 
5.0%
시 168
 
4.8%
별 168
 
4.8%
구 168
 
4.8%
특 168
 
4.8%
곡 116
 
3.3%
Other values (165) 1541
44.2%
Common
ValueCountFrequency (%)
* 1157
41.5%
998
35.8%
, 214
 
7.7%
) 184
 
6.6%
( 184
 
6.6%
- 33
 
1.2%
~ 4
 
0.1%
3 2
 
0.1%
6 2
 
0.1%
4 2
 
0.1%
Other values (7) 9
 
0.3%
Latin
ValueCountFrequency (%)
B 11
28.2%
A 8
20.5%
C 5
12.8%
Ⅱ 3
 
7.7%
E 2
 
5.1%
M 2
 
5.1%
G 2
 
5.1%
K 1
 
2.6%
S 1
 
2.6%
N 1
 
2.6%
Other values (3) 3
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3489
55.2%
ASCII 2825
44.7%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1157
41.0%
998
35.3%
, 214
 
7.6%
) 184
 
6.5%
( 184
 
6.5%
- 33
 
1.2%
B 11
 
0.4%
A 8
 
0.3%
C 5
 
0.2%
~ 4
 
0.1%
Other values (19) 27
 
1.0%
Hangul
ValueCountFrequency (%)
서 379
 
10.9%
동 212
 
6.1%
강 210
 
6.0%
로 186
 
5.3%
울 173
 
5.0%
시 168
 
4.8%
별 168
 
4.8%
구 168
 
4.8%
특 168
 
4.8%
곡 116
 
3.3%
Other values (165) 1541
44.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)67.3%
Missing67
Missing (%)39.9%
Infinite0
Infinite (%)0.0%
Mean18077.772
Minimum7511
Maximum157908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:33.149410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7511
5-th percentile7526
Q17569
median7694
Q37787
95-th percentile157861
Maximum157908
Range150397
Interquartile range (IQR)218

Descriptive statistics

Standard deviation38341.525
Coefficient of variation (CV)2.1209209
Kurtosis10.052491
Mean18077.772
Median Absolute Deviation (MAD)108
Skewness3.4429168
Sum1825855
Variance1.4700726 × 109
MonotonicityNot monotonic
2024-05-10T23:57:33.831771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7802 6
 
3.6%
7532 5
 
3.0%
7547 5
 
3.0%
7787 4
 
2.4%
7803 4
 
2.4%
7569 4
 
2.4%
7771 3
 
1.8%
7631 3
 
1.8%
7583 2
 
1.2%
7718 2
 
1.2%
Other values (58) 63
37.5%
(Missing) 67
39.9%
ValueCountFrequency (%)
7511 1
 
0.6%
7513 1
 
0.6%
7516 1
 
0.6%
7523 1
 
0.6%
7524 1
 
0.6%
7526 1
 
0.6%
7528 2
 
1.2%
7532 5
3.0%
7546 1
 
0.6%
7547 5
3.0%
ValueCountFrequency (%)
157908 2
1.2%
157904 1
 
0.6%
157884 1
 
0.6%
157867 1
 
0.6%
157861 1
 
0.6%
157846 1
 
0.6%
7811 1
 
0.6%
7806 1
 
0.6%
7805 1
 
0.6%
7803 4
2.4%

사업장명
Text

Distinct167
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-10T23:57:34.404705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.1964286
Min length2

Characters and Unicode

Total characters1209
Distinct characters275
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)98.8%

Sample

1st row동서산업개발(주)
2nd row(주)메가트론
3rd row아이엠
4th row우리텔레코뮤니케이션(주)
5th row(주)이지투자
ValueCountFrequency (%)
주식회사 25
 
11.7%
소프트 4
 
1.9%
라디안소프트 2
 
0.9%
게임즈 2
 
0.9%
studio 2
 
0.9%
지모션 1
 
0.5%
유림 1
 
0.5%
에스앤에스 1
 
0.5%
주)넥스메인 1
 
0.5%
식스아이즈 1
 
0.5%
Other values (173) 173
81.2%
2024-05-10T23:57:35.489867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 64
 
5.3%
) 49
 
4.1%
( 49
 
4.1%
이 46
 
3.8%
트 46
 
3.8%
45
 
3.7%
스 35
 
2.9%
프 34
 
2.8%
사 28
 
2.3%
식 27
 
2.2%
Other values (265) 786
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 926
76.6%
Uppercase Letter 80
 
6.6%
Close Punctuation 49
 
4.1%
Open Punctuation 49
 
4.1%
Lowercase Letter 47
 
3.9%
Space Separator 45
 
3.7%
Other Symbol 4
 
0.3%
Decimal Number 4
 
0.3%
Other Punctuation 3
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 64
 
6.9%
이 46
 
5.0%
트 46
 
5.0%
스 35
 
3.8%
프 34
 
3.7%
사 28
 
3.0%
식 27
 
2.9%
소 26
 
2.8%
회 26
 
2.8%
인 20
 
2.2%
Other values (213) 574
62.0%
Uppercase Letter
ValueCountFrequency (%)
N 8
 
10.0%
O 8
 
10.0%
E 7
 
8.8%
I 7
 
8.8%
S 5
 
6.2%
M 5
 
6.2%
D 5
 
6.2%
G 5
 
6.2%
L 4
 
5.0%
T 4
 
5.0%
Other values (11) 22
27.5%
Lowercase Letter
ValueCountFrequency (%)
o 7
14.9%
i 5
10.6%
e 4
 
8.5%
a 4
 
8.5%
r 4
 
8.5%
p 3
 
6.4%
s 3
 
6.4%
w 2
 
4.3%
t 2
 
4.3%
m 2
 
4.3%
Other values (9) 11
23.4%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
0 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1
33.3%
. 1
33.3%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 930
76.9%
Common 151
 
12.5%
Latin 128
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 64
 
6.9%
이 46
 
4.9%
트 46
 
4.9%
스 35
 
3.8%
프 34
 
3.7%
사 28
 
3.0%
식 27
 
2.9%
소 26
 
2.8%
회 26
 
2.8%
인 20
 
2.2%
Other values (214) 578
62.2%
Latin
ValueCountFrequency (%)
N 8
 
6.2%
O 8
 
6.2%
E 7
 
5.5%
o 7
 
5.5%
I 7
 
5.5%
S 5
 
3.9%
M 5
 
3.9%
i 5
 
3.9%
D 5
 
3.9%
G 5
 
3.9%
Other values (31) 66
51.6%
Common
ValueCountFrequency (%)
) 49
32.5%
( 49
32.5%
45
29.8%
3 2
 
1.3%
* 1
 
0.7%
. 1
 
0.7%
0 1
 
0.7%
& 1
 
0.7%
5 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 926
76.6%
ASCII 278
 
23.0%
None 4
 
0.3%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 64
 
6.9%
이 46
 
5.0%
트 46
 
5.0%
스 35
 
3.8%
프 34
 
3.7%
사 28
 
3.0%
식 27
 
2.9%
소 26
 
2.8%
회 26
 
2.8%
인 20
 
2.2%
Other values (213) 574
62.0%
ASCII
ValueCountFrequency (%)
) 49
17.6%
( 49
17.6%
45
16.2%
N 8
 
2.9%
O 8
 
2.9%
E 7
 
2.5%
o 7
 
2.5%
I 7
 
2.5%
S 5
 
1.8%
M 5
 
1.8%
Other values (40) 88
31.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-07-30 11:31:27
Maximum2024-04-23 09:47:38
2024-05-10T23:57:35.897120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:57:36.304707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
149 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 149
88.7%
U 19
 
11.3%

Length

2024-05-10T23:57:36.741358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:37.082942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 149
88.7%
u 19
 
11.3%

데이터갱신일자
Date

Distinct52
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:05:00
2024-05-10T23:57:37.544278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:57:38.025165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)80.9%
Missing6
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean186211.78
Minimum182849.75
Maximum188440.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:38.602828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182849.75
5-th percentile183251.01
Q1185564.4
median186398.83
Q3187214.74
95-th percentile187996.99
Maximum188440.34
Range5590.5952
Interquartile range (IQR)1650.3479

Descriptive statistics

Standard deviation1389.8575
Coefficient of variation (CV)0.0074638539
Kurtosis-0.013623794
Mean186211.78
Median Absolute Deviation (MAD)821.67255
Skewness-0.75862696
Sum30166309
Variance1931704
MonotonicityNot monotonic
2024-05-10T23:57:39.228209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187952.560027898 7
 
4.2%
188023.60012538 5
 
3.0%
187733.160920858 5
 
3.0%
187197.468812217 4
 
2.4%
187831.720345753 3
 
1.8%
182863.20722894 2
 
1.2%
184636.53344075 2
 
1.2%
184988.438404292 2
 
1.2%
185365.0 2
 
1.2%
186635.794470159 2
 
1.2%
Other values (121) 128
76.2%
(Missing) 6
 
3.6%
ValueCountFrequency (%)
182849.74719959 1
0.6%
182863.20722894 2
1.2%
182872.579435573 1
0.6%
182933.115073744 1
0.6%
183142.527491881 1
0.6%
183173.615351883 1
0.6%
183223.23936311 1
0.6%
183250.802177326 1
0.6%
183254.89698009 1
0.6%
183366.236140415 1
0.6%
ValueCountFrequency (%)
188440.342379339 1
 
0.6%
188139.035116622 1
 
0.6%
188035.299353223 1
 
0.6%
188023.60012538 5
3.0%
187999.32555627 1
 
0.6%
187952.560027898 7
4.2%
187851.458569291 1
 
0.6%
187849.043238683 1
 
0.6%
187833.937482617 1
 
0.6%
187831.720345753 3
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)80.9%
Missing6
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean449862.6
Minimum447286.8
Maximum452761.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:39.864134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447286.8
5-th percentile447406.81
Q1448309.18
median450493.05
Q3450976.01
95-th percentile452032.96
Maximum452761.49
Range5474.6909
Interquartile range (IQR)2666.8297

Descriptive statistics

Standard deviation1586.1772
Coefficient of variation (CV)0.0035259149
Kurtosis-1.2032811
Mean449862.6
Median Absolute Deviation (MAD)1126.252
Skewness-0.27965379
Sum72877741
Variance2515958.2
MonotonicityNot monotonic
2024-05-10T23:57:40.511050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450562.020225978 7
 
4.2%
450047.730772546 5
 
3.0%
450747.952249309 5
 
3.0%
450519.999405521 4
 
2.4%
450994.213236731 3
 
1.8%
451722.364949373 2
 
1.2%
450143.872075084 2
 
1.2%
450841.104425972 2
 
1.2%
450789.0 2
 
1.2%
448567.73440186 2
 
1.2%
Other values (121) 128
76.2%
(Missing) 6
 
3.6%
ValueCountFrequency (%)
447286.80225569 1
0.6%
447304.40011336 1
0.6%
447381.645907113 1
0.6%
447385.475690118 1
0.6%
447387.597800385 1
0.6%
447388.407636888 1
0.6%
447401.109362456 2
1.2%
447406.124515211 1
0.6%
447419.741756703 1
0.6%
447433.867776886 1
0.6%
ValueCountFrequency (%)
452761.493153691 1
0.6%
452713.505241493 1
0.6%
452659.362329152 1
0.6%
452617.040420089 1
0.6%
452425.980722416 1
0.6%
452263.663755592 1
0.6%
452125.039600709 1
0.6%
452034.27568352 2
1.2%
452007.862247458 2
1.2%
451924.787294849 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
게임물제작업
146 
<NA>
22 

Length

Max length6
Median length6
Mean length5.7380952
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 146
86.9%
<NA> 22
 
13.1%

Length

2024-05-10T23:57:41.226170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:41.629261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 146
86.9%
na 22
 
13.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유통관련업
146 
<NA>
22 

Length

Max length5
Median length5
Mean length4.8690476
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 146
86.9%
<NA> 22
 
13.1%

Length

2024-05-10T23:57:42.019119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:42.397144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 146
86.9%
na 22
 
13.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)76.9%
Missing155
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean44.769231
Minimum0
Maximum509
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:42.857590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q39
95-th percentile212
Maximum509
Range509
Interquartile range (IQR)7

Descriptive statistics

Standard deviation139.55713
Coefficient of variation (CV)3.1172555
Kurtosis12.965328
Mean44.769231
Median Absolute Deviation (MAD)5
Skewness3.5988657
Sum582
Variance19476.192
MonotonicityNot monotonic
2024-05-10T23:57:43.369154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9 2
 
1.2%
2 2
 
1.2%
0 2
 
1.2%
14 1
 
0.6%
8 1
 
0.6%
5 1
 
0.6%
509 1
 
0.6%
7 1
 
0.6%
13 1
 
0.6%
4 1
 
0.6%
(Missing) 155
92.3%
ValueCountFrequency (%)
0 2
1.2%
2 2
1.2%
4 1
0.6%
5 1
0.6%
7 1
0.6%
8 1
0.6%
9 2
1.2%
13 1
0.6%
14 1
0.6%
509 1
0.6%
ValueCountFrequency (%)
509 1
0.6%
14 1
0.6%
13 1
0.6%
9 2
1.2%
8 1
0.6%
7 1
0.6%
5 1
0.6%
4 1
0.6%
2 2
1.2%
0 2
1.2%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
160 
기타
 
7
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.922619
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
95.2%
기타 7
 
4.2%
아파트지역 1
 
0.6%

Length

2024-05-10T23:57:43.840953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:44.309636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
95.2%
기타 7
 
4.2%
아파트지역 1
 
0.6%

제작취급품목내용
Text

MISSING 

Distinct60
Distinct (%)42.6%
Missing27
Missing (%)16.1%
Memory size1.4 KiB
2024-05-10T23:57:44.828261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.4893617
Min length2

Characters and Unicode

Total characters774
Distinct characters81
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)31.9%

Sample

1st row온라인
2nd row아케이드
3rd row아케이드
4th row아케이드
5th row아케이드
ValueCountFrequency (%)
아케이드 37
20.9%
모바일 19
 
10.7%
게임 16
 
9.0%
온라인 14
 
7.9%
모바일게임 10
 
5.6%
게임물 9
 
5.1%
온라인게임 6
 
3.4%
온라인게임물 4
 
2.3%
pc 3
 
1.7%
아케이드게임물 3
 
1.7%
Other values (47) 56
31.6%
2024-05-10T23:57:46.195017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 74
 
9.6%
임 74
 
9.6%
드 52
 
6.7%
이 50
 
6.5%
아 48
 
6.2%
케 48
 
6.2%
바 38
 
4.9%
모 37
 
4.8%
일 37
 
4.8%
36
 
4.7%
Other values (71) 280
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
88.9%
Space Separator 36
 
4.7%
Uppercase Letter 25
 
3.2%
Other Punctuation 19
 
2.5%
Lowercase Letter 5
 
0.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 74
 
10.8%
임 74
 
10.8%
드 52
 
7.6%
이 50
 
7.3%
아 48
 
7.0%
케 48
 
7.0%
바 38
 
5.5%
모 37
 
5.4%
일 37
 
5.4%
인 36
 
5.2%
Other values (56) 194
28.2%
Uppercase Letter
ValueCountFrequency (%)
P 9
36.0%
C 8
32.0%
R 3
 
12.0%
V 3
 
12.0%
W 1
 
4.0%
S 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
b 1
20.0%
i 1
20.0%
s 1
20.0%
o 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 16
84.2%
/ 3
 
15.8%
Space Separator
ValueCountFrequency (%)
36
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
88.9%
Common 56
 
7.2%
Latin 30
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 74
 
10.8%
임 74
 
10.8%
드 52
 
7.6%
이 50
 
7.3%
아 48
 
7.0%
케 48
 
7.0%
바 38
 
5.5%
모 37
 
5.4%
일 37
 
5.4%
인 36
 
5.2%
Other values (56) 194
28.2%
Latin
ValueCountFrequency (%)
P 9
30.0%
C 8
26.7%
R 3
 
10.0%
V 3
 
10.0%
e 1
 
3.3%
b 1
 
3.3%
i 1
 
3.3%
W 1
 
3.3%
s 1
 
3.3%
o 1
 
3.3%
Common
ValueCountFrequency (%)
36
64.3%
, 16
28.6%
/ 3
 
5.4%
4 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
88.9%
ASCII 86
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 74
 
10.8%
임 74
 
10.8%
드 52
 
7.6%
이 50
 
7.3%
아 48
 
7.0%
케 48
 
7.0%
바 38
 
5.5%
모 37
 
5.4%
일 37
 
5.4%
인 36
 
5.2%
Other values (56) 194
28.2%
ASCII
ValueCountFrequency (%)
36
41.9%
, 16
18.6%
P 9
 
10.5%
C 8
 
9.3%
R 3
 
3.5%
V 3
 
3.5%
/ 3
 
3.5%
e 1
 
1.2%
b 1
 
1.2%
i 1
 
1.2%
Other values (5) 5
 
5.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)91.0%
Missing68
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean263.6844
Minimum0
Maximum11380
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:46.839446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q128.2475
median45.185
Q395.6025
95-th percentile184.795
Maximum11380
Range11380
Interquartile range (IQR)67.355

Descriptive statistics

Standard deviation1367.1305
Coefficient of variation (CV)5.1847228
Kurtosis53.689396
Mean263.6844
Median Absolute Deviation (MAD)28.42
Skewness7.2603834
Sum26368.44
Variance1869045.9
MonotonicityNot monotonic
2024-05-10T23:57:47.380703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
2.4%
3.0 2
 
1.2%
27.0 2
 
1.2%
77.2 2
 
1.2%
25.93 2
 
1.2%
135.45 2
 
1.2%
9.0 2
 
1.2%
35.49 1
 
0.6%
15.0 1
 
0.6%
27.94 1
 
0.6%
Other values (81) 81
48.2%
(Missing) 68
40.5%
ValueCountFrequency (%)
0.0 4
2.4%
1.0 1
 
0.6%
3.0 2
1.2%
9.0 2
1.2%
12.0 1
 
0.6%
15.0 1
 
0.6%
16.5 1
 
0.6%
17.03 1
 
0.6%
17.6 1
 
0.6%
20.79 1
 
0.6%
ValueCountFrequency (%)
11380.0 1
0.6%
7791.91 1
0.6%
1058.46 1
0.6%
279.61 1
0.6%
228.02 1
0.6%
182.52 1
0.6%
166.0 1
0.6%
164.31 1
0.6%
159.81 1
0.6%
141.43 1
0.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)66.7%
Missing159
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean5.5555556
Minimum0
Maximum10
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-10T23:57:47.951593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9405301
Coefficient of variation (CV)0.70929543
Kurtosis-1.4499131
Mean5.5555556
Median Absolute Deviation (MAD)3
Skewness-0.40864386
Sum50
Variance15.527778
MonotonicityNot monotonic
2024-05-10T23:57:48.353055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 2
 
1.2%
10 2
 
1.2%
0 2
 
1.2%
7 1
 
0.6%
4 1
 
0.6%
3 1
 
0.6%
(Missing) 159
94.6%
ValueCountFrequency (%)
0 2
1.2%
3 1
0.6%
4 1
0.6%
7 1
0.6%
8 2
1.2%
10 2
1.2%
ValueCountFrequency (%)
10 2
1.2%
8 2
1.2%
7 1
0.6%
4 1
0.6%
3 1
0.6%
0 2
1.2%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
159 
1
 
5
0
 
2
4
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.8392857
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 159
94.6%
1 5
 
3.0%
0 2
 
1.2%
4 1
 
0.6%
2 1
 
0.6%

Length

2024-05-10T23:57:48.893835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:49.297901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
94.6%
1 5
 
3.0%
0 2
 
1.2%
4 1
 
0.6%
2 1
 
0.6%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
161 
근린생활시설
 
7

Length

Max length6
Median length4
Mean length4.0833333
Min length4

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> 161
95.8%
근린생활시설 7
 
4.2%

Length

2024-05-10T23:57:49.856634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:50.248087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
95.8%
근린생활시설 7
 
4.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
0
 
2

Length

Max length4
Median length4
Mean length3.9642857
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> 166
98.8%
0 2
 
1.2%

Length

2024-05-10T23:57:50.696730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:51.393117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
98.8%
0 2
 
1.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
0
 
2

Length

Max length4
Median length4
Mean length3.9642857
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> 166
98.8%
0 2
 
1.2%

Length

2024-05-10T23:57:51.981741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:52.440233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
98.8%
0 2
 
1.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
0
 
2

Length

Max length4
Median length4
Mean length3.9642857
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> 166
98.8%
0 2
 
1.2%

Length

2024-05-10T23:57:53.021338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:53.544041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
98.8%
0 2
 
1.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
0
 
2

Length

Max length4
Median length4
Mean length3.9642857
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> 166
98.8%
0 2
 
1.2%

Length

2024-05-10T23:57:54.037972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:54.519813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
98.8%
0 2
 
1.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
0
 
2

Length

Max length4
Median length4
Mean length3.9642857
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> 166
98.8%
0 2
 
1.2%

Length

2024-05-10T23:57:55.045757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:57:55.608938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
98.8%
0 2
 
1.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Text

MISSING 

Distinct5
Distinct (%)50.0%
Missing158
Missing (%)94.0%
Memory size1.4 KiB
2024-05-10T23:57:56.060429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.2
Min length4

Characters and Unicode

Total characters52
Distinct characters10
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 (%)20.0%

Sample

1st row준주거지역
2nd row일반주거지역
3rd row준주거지역
4th row일반상업지역
5th row준주거지역
ValueCountFrequency (%)
준주거지역 3
30.0%
일반주거지역 3
30.0%
주거지역 2
20.0%
일반상업지역 1
 
10.0%
준공업지역 1
 
10.0%
2024-05-10T23:57:57.375111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 10
19.2%
역 10
19.2%
주 8
15.4%
거 8
15.4%
준 4
 
7.7%
일 4
 
7.7%
반 4
 
7.7%
업 2
 
3.8%
상 1
 
1.9%
공 1
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 10
19.2%
역 10
19.2%
주 8
15.4%
거 8
15.4%
준 4
 
7.7%
일 4
 
7.7%
반 4
 
7.7%
업 2
 
3.8%
상 1
 
1.9%
공 1
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 10
19.2%
역 10
19.2%
주 8
15.4%
거 8
15.4%
준 4
 
7.7%
일 4
 
7.7%
반 4
 
7.7%
업 2
 
3.8%
상 1
 
1.9%
공 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 10
19.2%
역 10
19.2%
주 8
15.4%
거 8
15.4%
준 4
 
7.7%
일 4
 
7.7%
반 4
 
7.7%
업 2
 
3.8%
상 1
 
1.9%
공 1
 
1.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF224108199900000119990703<NA>3폐업3폐업20180123<NA><NA><NA><NA><NA>157030서울특별시 강서구 등촌동 ***-**번지서울특별시 강서구 공항대로 *** (등촌동)<NA>동서산업개발(주)2018-01-23 18:55:14I2018-08-31 23:59:59.0<NA>186705.434766450531.606545게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13150000CDFF224108199900000219991209<NA>1영업/정상13영업중<NA><NA><NA><NA>753-7114<NA>157810서울특별시 강서구 가양동 ****번지 가양테크노타운 ***서울특별시 강서구 허준로 *** (가양동,가양테크노타운 ***)<NA>(주)메가트론2007-07-30 11:36:56I2018-08-31 23:59:59.0<NA>187831.720346450994.213237게임물제작업유통관련업<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>
23150000CDFF224108200000000120000316<NA>1영업/정상13영업중<NA><NA><NA><NA>668-7015<NA>157863서울특별시 강서구 염창동 ***번지 양화진빌딩 ***호서울특별시 강서구 양천로 ***, ***호 (염창동,양화진빌딩)<NA>아이엠2007-07-30 11:31:27I2018-08-31 23:59:59.0<NA>188440.342379450017.322382게임물제작업유통관련업<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>
33150000CDFF224108200000000320000712<NA>3폐업3폐업20220926<NA><NA><NA>2601-6070<NA>157910서울특별시 강서구 화곡동 ***-*서울특별시 강서구 곰달래로 ** (화곡동)<NA>우리텔레코뮤니케이션(주)2022-09-26 15:36:50U2021-12-08 22:08:00.0<NA>186020.435846447556.256633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFF224108200000000420000324<NA>1영업/정상13영업중<NA><NA><NA><NA>2608-2369<NA>157879서울특별시 강서구 화곡동 ***-**번지 명신타운 *차 ***호서울특별시 강서구 곰달래로**길 **-**, ***호 (화곡동,명신타운 *차)<NA>(주)이지투자2007-07-31 13:45:21I2018-08-31 23:59:59.0<NA>186454.721654447899.51027게임물제작업유통관련업<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>
53150000CDFF224108200100000120011212<NA>3폐업3폐업20140321<NA><NA><NA>698-4462<NA>157882서울특별시 강서구 화곡동 ***-**번지 중앙빌딩 *층서울특별시 강서구 강서로**길 ** (화곡동,중앙빌딩 *층)<NA>(주)케이슬롯2014-03-21 09:28:15I2018-08-31 23:59:59.0<NA>185973.59856447835.032409게임물제작업유통관련업<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>
63150000CDFF224108200200000120020109<NA>1영업/정상13영업중<NA><NA><NA><NA>697-6804<NA>157909서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 강서로*나길 ** (화곡동)<NA>이래전자2007-07-30 13:33:12I2018-08-31 23:59:59.0<NA>186470.651264447401.109362게임물제작업유통관련업<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>
73150000CDFF224108200200000220020319<NA>1영업/정상13영업중<NA><NA><NA><NA>657-0765<NA>157030서울특별시 강서구 등촌동 ***-*번지 우리벤처타운 ***서울특별시 강서구 강서로 *** (등촌동,우리벤처타운 ***)<NA>(주)아리수미디어2007-07-30 13:37:18I2018-08-31 23:59:59.0<NA>185926.71592451634.919976게임물제작업유통관련업<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>
83150000CDFF224108200200000320020410<NA>1영업/정상13영업중<NA><NA><NA><NA>668-0585<NA>157840서울특별시 강서구 등촌동 ***-**번지 서울산업지원센터 C-***서울특별시 강서구 공항대로**길 ** (등촌동,서울산업지원센터 C-***)<NA>조이맥스2007-07-31 13:46:03I2018-08-31 23:59:59.0<NA>188023.600125450047.730773게임물제작업유통관련업<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>
93150000CDFF224108200200000420020503<NA>1영업/정상13영업중<NA><NA><NA><NA>042-627-2955<NA>157909서울특별시 강서구 화곡동 ***-**번지 *층서울특별시 강서구 강서로*나길 ** (화곡동,*층)<NA>아름전자2007-07-30 13:45:27I2018-08-31 23:59:59.0<NA>186470.651264447401.109362게임물제작업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1583150000CDFF224108202200000520221213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 421-29 SK자이빌 304호서울특별시 강서구 강서로15길 98, 304호 (화곡동, SK자이빌)7771보고봄2022-12-13 08:53:59I2021-11-01 23:05:00.0<NA>185824.801147447774.658294<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593150000CDFF22410820220000062022-12-13<NA>3폐업3폐업2023-07-17<NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 *** 마곡수명산파크*단지아파트 ***동 ****호서울특별시 강서구 수명로*길 **, ***동 ****호 (내발산동, 마곡수명산파크*단지아파트)7643NowGo2023-07-17 19:23:04U2022-12-06 23:09:00.0<NA>184320.657855449900.251425<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603150000CDFF22410820230000012023-02-27<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 14:02:37I2022-12-03 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>
1613150000CDFF22410820230000022023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-** 파인스퀘어 B동 ***~*호서울특별시 강서구 마곡중앙*로 **, 파인스퀘어 B동 ***~***호 (마곡동)7631(주)폴리모프2023-03-02 13:29:32I2022-12-03 00:04:00.0<NA>184844.841587450680.365609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1623150000CDFF22410820230000032023-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-* 화곡대림아파트 *동 ****호서울특별시 강서구 월정로 ***, *동 ****호 (화곡동, 화곡대림아파트)7766은 세상2023-05-03 10:25:02I2022-12-05 00:05:00.0<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>
1633150000CDFF22410820230000042023-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 열린M타워Ⅱ ***호서울특별시 강서구 공항대로 ***, 열린M타워Ⅱ ***호 (마곡동)7805주식회사 맥스폼2023-05-08 11:20:21I2022-12-04 23:00:00.0<NA>185290.575518450703.353566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643150000CDFF22410820230000052023-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2697-2426<NA><NA>서울특별시 강서구 화곡동 ***-*서울특별시 강서구 국회대로*길 ***, *층, 지층 (화곡동)7782포인트 유통2023-08-07 14:45:07I2022-12-08 00:09:00.0<NA>186987.361336447482.537448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653150000CDFF22410820230000062023-09-20<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-0178-5794<NA><NA>서울특별시 강서구 내발산동 ***-** 신원메디칼프라자서울특별시 강서구 강서로**길 ***, 신원메디칼프라자 ***동 C***호 (내발산동)7635엽차엽차2023-09-21 17:22:39I2022-12-08 22:03:00.0<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>
1663150000CDFF22410820230000072023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 공항대로 ***, ***호 (등촌동)7591주식회사 퍼스트 게임즈2023-11-29 17:46:30I2022-11-02 00:02:00.0<NA>185924.874727450705.751629<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1673150000CDFF22410820240000012024-03-26<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 15:08:55I2023-12-02 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>