Overview

Dataset statistics

Number of variables56
Number of observations26
Missing cells699
Missing cells (%)48.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory491.1 B

Variable types

Categorical18
Text9
DateTime3
Unsupported22
Numeric4

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16676/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (60.9%)Imbalance
문화사업자구분명 is highly imbalanced (60.9%)Imbalance
총층수 is highly imbalanced (53.7%)Imbalance
지하층수 is highly imbalanced (51.2%)Imbalance
통로너비 is highly imbalanced (60.9%)Imbalance
조명시설조도 is highly imbalanced (60.9%)Imbalance
노래방실수 is highly imbalanced (60.9%)Imbalance
청소년실수 is highly imbalanced (60.9%)Imbalance
총게임기수 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 13 (50.0%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 23 (88.5%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
도로명주소 has 1 (3.8%) missing valuesMissing
도로명우편번호 has 11 (42.3%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (3.8%) missing valuesMissing
주변환경명 has 24 (92.3%) missing valuesMissing
제작취급품목내용 has 2 (7.7%) missing valuesMissing
시설면적 has 8 (30.8%) missing valuesMissing
건물용도명 has 21 (80.8%) missing valuesMissing
비상계단여부 has 26 (100.0%) missing valuesMissing
비상구여부 has 26 (100.0%) missing valuesMissing
자동환기여부 has 26 (100.0%) missing valuesMissing
청소년실여부 has 26 (100.0%) missing valuesMissing
특수조명여부 has 26 (100.0%) missing valuesMissing
방음시설여부 has 26 (100.0%) missing valuesMissing
비디오재생기명 has 26 (100.0%) missing valuesMissing
조명시설유무 has 26 (100.0%) missing valuesMissing
음향시설여부 has 26 (100.0%) missing valuesMissing
편의시설여부 has 26 (100.0%) missing valuesMissing
소방시설여부 has 26 (100.0%) missing valuesMissing
기존게임업외업종명 has 26 (100.0%) missing valuesMissing
제공게임물명 has 26 (100.0%) missing valuesMissing
공연장형태구분명 has 26 (100.0%) missing valuesMissing
품목명 has 26 (100.0%) missing valuesMissing
최초등록시점 has 26 (100.0%) missing valuesMissing
지역구분명 has 22 (84.6%) 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

Reproduction

Analysis started2024-04-06 12:52:09.597582
Analysis finished2024-04-06 12:52:10.771597
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3100000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 26
100.0%

Length

2024-04-06T21:52:10.892417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:11.071383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:52:11.362688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters520
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122006000001
2nd rowCDFF2241122007000001
3rd rowCDFF2241122007000003
4th rowCDFF2241122007000005
5th rowCDFF2241122008000001
ValueCountFrequency (%)
cdff2241122006000001 1
 
3.8%
cdff2241122007000001 1
 
3.8%
cdff2241122022000002 1
 
3.8%
cdff2241122022000001 1
 
3.8%
cdff2241122021000002 1
 
3.8%
cdff2241122021000001 1
 
3.8%
cdff2241122018000003 1
 
3.8%
cdff2241122018000002 1
 
3.8%
cdff2241122018000001 1
 
3.8%
cdff2241122016000001 1
 
3.8%
Other values (16) 16
61.5%
2024-04-06T21:52:12.513622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 165
31.7%
2 121
23.3%
1 83
16.0%
F 52
 
10.0%
4 28
 
5.4%
C 26
 
5.0%
D 26
 
5.0%
8 5
 
1.0%
3 4
 
0.8%
5 4
 
0.8%
Other values (3) 6
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
80.0%
Uppercase Letter 104
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 165
39.7%
2 121
29.1%
1 83
20.0%
4 28
 
6.7%
8 5
 
1.2%
3 4
 
1.0%
5 4
 
1.0%
7 3
 
0.7%
6 2
 
0.5%
9 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 52
50.0%
C 26
25.0%
D 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
80.0%
Latin 104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 165
39.7%
2 121
29.1%
1 83
20.0%
4 28
 
6.7%
8 5
 
1.2%
3 4
 
1.0%
5 4
 
1.0%
7 3
 
0.7%
6 2
 
0.5%
9 1
 
0.2%
Latin
ValueCountFrequency (%)
F 52
50.0%
C 26
25.0%
D 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 165
31.7%
2 121
23.3%
1 83
16.0%
F 52
 
10.0%
4 28
 
5.4%
C 26
 
5.0%
D 26
 
5.0%
8 5
 
1.0%
3 4
 
0.8%
5 4
 
0.8%
Other values (3) 6
 
1.2%

인허가일자
Date

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2006-11-08 00:00:00
Maximum2022-11-08 00:00:00
2024-04-06T21:52:12.828473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:13.115288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
13 
1
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
50.0%
1 13
50.0%

Length

2024-04-06T21:52:13.323152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:13.491001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
50.0%
1 13
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
13 
영업/정상
13 

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
50.0%
영업/정상 13
50.0%

Length

2024-04-06T21:52:13.694984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:13.905508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
50.0%
영업/정상 13
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
13 
13
13 

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
50.0%
13 13
50.0%

Length

2024-04-06T21:52:14.090855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:14.391737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
50.0%
13 13
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
13 
영업중
13 

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
50.0%
영업중 13
50.0%

Length

2024-04-06T21:52:14.639289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:14.827503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
50.0%
영업중 13
50.0%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)92.3%
Missing13
Missing (%)50.0%
Memory size340.0 B
Minimum2008-04-15 00:00:00
Maximum2023-06-09 00:00:00
2024-04-06T21:52:15.093763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:15.355510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing23
Missing (%)88.5%
Memory size340.0 B
2024-04-06T21:52:15.691328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.6666667
Min length8

Characters and Unicode

Total characters29
Distinct characters11
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row936-0602
2nd row031)823-2851
3rd row029064800
ValueCountFrequency (%)
936-0602 1
33.3%
031)823-2851 1
33.3%
029064800 1
33.3%
2024-04-06T21:52:16.268994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
24.1%
2 4
13.8%
3 3
10.3%
6 3
10.3%
8 3
10.3%
9 2
 
6.9%
- 2
 
6.9%
1 2
 
6.9%
) 1
 
3.4%
5 1
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26
89.7%
Dash Punctuation 2
 
6.9%
Close Punctuation 1
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
26.9%
2 4
15.4%
3 3
11.5%
6 3
11.5%
8 3
11.5%
9 2
 
7.7%
1 2
 
7.7%
5 1
 
3.8%
4 1
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7
24.1%
2 4
13.8%
3 3
10.3%
6 3
10.3%
8 3
10.3%
9 2
 
6.9%
- 2
 
6.9%
1 2
 
6.9%
) 1
 
3.4%
5 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
24.1%
2 4
13.8%
3 3
10.3%
6 3
10.3%
8 3
10.3%
9 2
 
6.9%
- 2
 
6.9%
1 2
 
6.9%
) 1
 
3.4%
5 1
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
19 
139804
2 
139838
2 
139816
 
1
139876
 
1

Length

Max length6
Median length4
Mean length4.5384615
Min length4

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row139816
2nd row139876
3rd row139804
4th row139804
5th row139838

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
139804 2
 
7.7%
139838 2
 
7.7%
139816 1
 
3.8%
139876 1
 
3.8%
139801 1
 
3.8%

Length

2024-04-06T21:52:16.583804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:16.818269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
139804 2
 
7.7%
139838 2
 
7.7%
139816 1
 
3.8%
139876 1
 
3.8%
139801 1
 
3.8%

지번주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:52:17.184696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length33.846154
Min length23

Characters and Unicode

Total characters880
Distinct characters85
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 노원구 상계동 ***-*번지 유신빌딩 지층
2nd row서울특별시 노원구 상계동 ****번지 토마토파르코 ****호
3rd row서울특별시 노원구 공릉동 ***-**번지
4th row서울특별시 노원구 공릉동 ***-**번지 *층
5th row서울특별시 노원구 상계동 ****번지 파르코오피스텔 ***호
ValueCountFrequency (%)
서울특별시 26
17.0%
노원구 26
17.0%
번지 19
12.4%
상계동 15
9.8%
호 15
9.8%
8
 
5.2%
공릉동 7
 
4.6%
층 4
 
2.6%
동 3
 
2.0%
월계동 3
 
2.0%
Other values (26) 27
17.6%
2024-04-06T21:52:17.879891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 215
24.4%
138
15.7%
동 30
 
3.4%
원 28
 
3.2%
- 27
 
3.1%
구 27
 
3.1%
노 27
 
3.1%
울 26
 
3.0%
서 26
 
3.0%
특 26
 
3.0%
Other values (75) 310
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
55.9%
Other Punctuation 216
24.5%
Space Separator 138
 
15.7%
Dash Punctuation 27
 
3.1%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
6.1%
원 28
 
5.7%
구 27
 
5.5%
노 27
 
5.5%
울 26
 
5.3%
서 26
 
5.3%
특 26
 
5.3%
시 26
 
5.3%
별 26
 
5.3%
계 24
 
4.9%
Other values (68) 226
45.9%
Other Punctuation
ValueCountFrequency (%)
* 215
99.5%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
55.9%
Common 387
44.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
6.1%
원 28
 
5.7%
구 27
 
5.5%
노 27
 
5.5%
울 26
 
5.3%
서 26
 
5.3%
특 26
 
5.3%
시 26
 
5.3%
별 26
 
5.3%
계 24
 
4.9%
Other values (68) 226
45.9%
Common
ValueCountFrequency (%)
* 215
55.6%
138
35.7%
- 27
 
7.0%
( 3
 
0.8%
) 3
 
0.8%
@ 1
 
0.3%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
55.9%
ASCII 388
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 215
55.4%
138
35.6%
- 27
 
7.0%
( 3
 
0.8%
) 3
 
0.8%
C 1
 
0.3%
@ 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 30
 
6.1%
원 28
 
5.7%
구 27
 
5.5%
노 27
 
5.5%
울 26
 
5.3%
서 26
 
5.3%
특 26
 
5.3%
시 26
 
5.3%
별 26
 
5.3%
계 24
 
4.9%
Other values (68) 226
45.9%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2024-04-06T21:52:18.437071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length39.56
Min length28

Characters and Unicode

Total characters989
Distinct characters100
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 상계로**길 ** (상계동,유신빌딩 지층)
2nd row서울특별시 노원구 동일로 ****, ****호 (상계동,토마토파르코)
3rd row서울특별시 노원구 공릉로**가길 *-* (공릉동)
4th row서울특별시 노원구 공릉로**가길 *-* (공릉동,*층)
5th row서울특별시 노원구 동일로 ****, ***호 (상계동,파르코오피스텔)
ValueCountFrequency (%)
27
15.8%
서울특별시 25
14.6%
노원구 25
14.6%
호 14
 
8.2%
상계동 8
 
4.7%
동일로 5
 
2.9%
한글비석로 5
 
2.9%
공릉동 5
 
2.9%
층 4
 
2.3%
공릉로**가길 3
 
1.8%
Other values (43) 50
29.2%
2024-04-06T21:52:19.204085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 186
18.8%
154
 
15.6%
동 38
 
3.8%
, 33
 
3.3%
원 29
 
2.9%
노 27
 
2.7%
) 27
 
2.7%
( 27
 
2.7%
구 26
 
2.6%
로 26
 
2.6%
Other values (90) 416
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
55.7%
Other Punctuation 220
 
22.2%
Space Separator 154
 
15.6%
Close Punctuation 27
 
2.7%
Open Punctuation 27
 
2.7%
Dash Punctuation 9
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
6.9%
원 29
 
5.3%
노 27
 
4.9%
구 26
 
4.7%
로 26
 
4.7%
서 25
 
4.5%
특 25
 
4.5%
별 25
 
4.5%
시 25
 
4.5%
울 25
 
4.5%
Other values (82) 280
50.8%
Other Punctuation
ValueCountFrequency (%)
* 186
84.5%
, 33
 
15.0%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
55.7%
Common 437
44.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
6.9%
원 29
 
5.3%
노 27
 
4.9%
구 26
 
4.7%
로 26
 
4.7%
서 25
 
4.5%
특 25
 
4.5%
별 25
 
4.5%
시 25
 
4.5%
울 25
 
4.5%
Other values (82) 280
50.8%
Common
ValueCountFrequency (%)
* 186
42.6%
154
35.2%
, 33
 
7.6%
) 27
 
6.2%
( 27
 
6.2%
- 9
 
2.1%
@ 1
 
0.2%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
55.7%
ASCII 438
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 186
42.5%
154
35.2%
, 33
 
7.5%
) 27
 
6.2%
( 27
 
6.2%
- 9
 
2.1%
C 1
 
0.2%
@ 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 38
 
6.9%
원 29
 
5.3%
노 27
 
4.9%
구 26
 
4.7%
로 26
 
4.7%
서 25
 
4.5%
특 25
 
4.5%
별 25
 
4.5%
시 25
 
4.5%
울 25
 
4.5%
Other values (82) 280
50.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing11
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean10976.667
Minimum1663
Maximum139876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:52:19.424726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1663
5-th percentile1666.5
Q11675
median1830
Q31867
95-th percentile43289.3
Maximum139876
Range138213
Interquartile range (IQR)192

Descriptive statistics

Standard deviation35659.056
Coefficient of variation (CV)3.2486234
Kurtosis14.999732
Mean10976.667
Median Absolute Deviation (MAD)135
Skewness3.8729347
Sum164650
Variance1.2715683 × 109
MonotonicityNot monotonic
2024-04-06T21:52:19.654484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1668 3
 
11.5%
1682 2
 
7.7%
139876 1
 
3.8%
1848 1
 
3.8%
1695 1
 
3.8%
1830 1
 
3.8%
1856 1
 
3.8%
1892 1
 
3.8%
1663 1
 
3.8%
1895 1
 
3.8%
Other values (2) 2
 
7.7%
(Missing) 11
42.3%
ValueCountFrequency (%)
1663 1
 
3.8%
1668 3
11.5%
1682 2
7.7%
1695 1
 
3.8%
1830 1
 
3.8%
1848 1
 
3.8%
1849 1
 
3.8%
1856 1
 
3.8%
1878 1
 
3.8%
1892 1
 
3.8%
ValueCountFrequency (%)
139876 1
3.8%
1895 1
3.8%
1892 1
3.8%
1878 1
3.8%
1856 1
3.8%
1849 1
3.8%
1848 1
3.8%
1830 1
3.8%
1695 1
3.8%
1682 2
7.7%

사업장명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:52:19.975408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length10
Mean length7.5769231
Min length4

Characters and Unicode

Total characters197
Distinct characters112
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

Unique24 ?
Unique (%)92.3%

Sample

1st row브이스타
2nd row주식회사 가온인터내셔날
3rd rowE.Z.com
4th rowE.Z.com
5th row(주)세븐게임트리
ValueCountFrequency (%)
주식회사 4
 
10.5%
e.z.com 2
 
5.3%
알스 1
 
2.6%
주)삼육오존 1
 
2.6%
올파워윈 1
 
2.6%
블록게임즈 1
 
2.6%
스포코리아 1
 
2.6%
이오디아트 1
 
2.6%
위드온미 1
 
2.6%
소프트웨어 1
 
2.6%
Other values (24) 24
63.2%
2024-04-06T21:52:20.646396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.1%
주 9
 
4.6%
트 6
 
3.0%
E 5
 
2.5%
( 5
 
2.5%
) 5
 
2.5%
스 4
 
2.0%
. 4
 
2.0%
이 4
 
2.0%
사 4
 
2.0%
Other values (102) 139
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
69.0%
Uppercase Letter 29
 
14.7%
Space Separator 12
 
6.1%
Lowercase Letter 6
 
3.0%
Open Punctuation 5
 
2.5%
Close Punctuation 5
 
2.5%
Other Punctuation 4
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9
 
6.6%
트 6
 
4.4%
스 4
 
2.9%
이 4
 
2.9%
사 4
 
2.9%
회 4
 
2.9%
식 4
 
2.9%
프 4
 
2.9%
아 3
 
2.2%
온 3
 
2.2%
Other values (80) 91
66.9%
Uppercase Letter
ValueCountFrequency (%)
E 5
17.2%
T 3
10.3%
J 2
 
6.9%
Z 2
 
6.9%
U 2
 
6.9%
A 2
 
6.9%
M 2
 
6.9%
R 2
 
6.9%
N 2
 
6.9%
O 2
 
6.9%
Other values (5) 5
17.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
33.3%
o 2
33.3%
m 2
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
69.0%
Latin 35
 
17.8%
Common 26
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9
 
6.6%
트 6
 
4.4%
스 4
 
2.9%
이 4
 
2.9%
사 4
 
2.9%
회 4
 
2.9%
식 4
 
2.9%
프 4
 
2.9%
아 3
 
2.2%
온 3
 
2.2%
Other values (80) 91
66.9%
Latin
ValueCountFrequency (%)
E 5
14.3%
T 3
 
8.6%
J 2
 
5.7%
Z 2
 
5.7%
U 2
 
5.7%
c 2
 
5.7%
o 2
 
5.7%
m 2
 
5.7%
A 2
 
5.7%
M 2
 
5.7%
Other values (8) 11
31.4%
Common
ValueCountFrequency (%)
12
46.2%
( 5
19.2%
) 5
19.2%
. 4
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
69.0%
ASCII 61
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
19.7%
E 5
 
8.2%
( 5
 
8.2%
) 5
 
8.2%
. 4
 
6.6%
T 3
 
4.9%
J 2
 
3.3%
Z 2
 
3.3%
U 2
 
3.3%
c 2
 
3.3%
Other values (12) 19
31.1%
Hangul
ValueCountFrequency (%)
주 9
 
6.6%
트 6
 
4.4%
스 4
 
2.9%
이 4
 
2.9%
사 4
 
2.9%
회 4
 
2.9%
식 4
 
2.9%
프 4
 
2.9%
아 3
 
2.2%
온 3
 
2.2%
Other values (80) 91
66.9%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2008-04-17 11:10:31
Maximum2023-06-09 16:40:03
2024-04-06T21:52:20.918535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:21.228388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
21 
U
5 

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 21
80.8%
U 5
 
19.2%

Length

2024-04-06T21:52:21.607007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:21.835946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
80.8%
u 5
 
19.2%

데이터갱신일자
Categorical

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
2018-08-31 23:59:59.0
18 
2021-07-07 02:40:00.0
 
1
2019-01-23 02:40:00.0
 
1
2018-11-08 02:36:09.0
 
1
2021-01-31 02:40:00.0
 
1
Other values (4)
4 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)30.8%

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 18
69.2%
2021-07-07 02:40:00.0 1
 
3.8%
2019-01-23 02:40:00.0 1
 
3.8%
2018-11-08 02:36:09.0 1
 
3.8%
2021-01-31 02:40:00.0 1
 
3.8%
2021-12-11 00:22:54.0 1
 
3.8%
2022-03-16 00:22:36.0 1
 
3.8%
2021-10-30 23:05:00.0 1
 
3.8%
2022-12-05 23:01:00.0 1
 
3.8%

Length

2024-04-06T21:52:22.003558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:22.211678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 18
34.6%
23:59:59.0 18
34.6%
02:40:00.0 3
 
5.8%
2021-07-07 1
 
1.9%
2019-01-23 1
 
1.9%
2018-11-08 1
 
1.9%
02:36:09.0 1
 
1.9%
2021-01-31 1
 
1.9%
2021-12-11 1
 
1.9%
00:22:54.0 1
 
1.9%
Other values (6) 6
 
11.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)76.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean205966.39
Minimum204680.31
Maximum206998.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:52:22.474386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204680.31
5-th percentile204803.45
Q1205644.75
median206167.82
Q3206407.2
95-th percentile206991.36
Maximum206998.12
Range2317.8087
Interquartile range (IQR)762.45845

Descriptive statistics

Standard deviation722.85716
Coefficient of variation (CV)0.0035095879
Kurtosis-0.78534319
Mean205966.39
Median Absolute Deviation (MAD)401.28593
Skewness-0.51102532
Sum5149159.8
Variance522522.47
MonotonicityNot monotonic
2024-04-06T21:52:22.699543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
206167.818533363 3
 
11.5%
204855.557180678 3
 
11.5%
206147.349210511 2
 
7.7%
206998.116876141 2
 
7.7%
206201.840029031 1
 
3.8%
204790.424786507 1
 
3.8%
206659.562560773 1
 
3.8%
205680.753859868 1
 
3.8%
206270.823086152 1
 
3.8%
205186.021722122 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
204680.308194419 1
 
3.8%
204790.424786507 1
 
3.8%
204855.557180678 3
11.5%
205186.021722122 1
 
3.8%
205644.745034242 1
 
3.8%
205680.753859868 1
 
3.8%
205767.86214411 1
 
3.8%
206147.349210511 2
7.7%
206167.818533363 3
11.5%
206179.721259442 1
 
3.8%
ValueCountFrequency (%)
206998.116876141 2
7.7%
206964.311274368 1
3.8%
206659.562560773 1
3.8%
206569.104464849 1
3.8%
206559.323071081 1
3.8%
206407.203479638 1
3.8%
206270.823086152 1
3.8%
206236.78339842 1
3.8%
206201.840029031 1
3.8%
206179.721259442 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)76.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean460617.37
Minimum456996.05
Maximum464346.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:52:22.969119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456996.05
5-th percentile457413.31
Q1458288.28
median461566.48
Q3462148.36
95-th percentile464199.05
Maximum464346.66
Range7350.6155
Interquartile range (IQR)3860.0771

Descriptive statistics

Standard deviation2500.8716
Coefficient of variation (CV)0.0054293905
Kurtosis-1.5313703
Mean460617.37
Median Absolute Deviation (MAD)2632.5667
Skewness0.032145748
Sum11515434
Variance6254358.6
MonotonicityNot monotonic
2024-04-06T21:52:23.361247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
462148.356096392 3
 
11.5%
464199.048415229 3
 
11.5%
462118.417920115 2
 
7.7%
458288.278953289 2
 
7.7%
459064.752797491 1
 
3.8%
458749.280581727 1
 
3.8%
457357.219230872 1
 
3.8%
456996.048176249 1
 
3.8%
462123.792297709 1
 
3.8%
457813.600330364 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
456996.048176249 1
3.8%
457357.219230872 1
3.8%
457637.683262903 1
3.8%
457813.600330364 1
3.8%
457897.082234496 1
3.8%
458046.421676822 1
3.8%
458288.278953289 2
7.7%
458381.268802234 1
3.8%
458749.280581727 1
3.8%
459064.752797491 1
3.8%
ValueCountFrequency (%)
464346.663669239 1
 
3.8%
464199.048415229 3
11.5%
462947.66303412 1
 
3.8%
462148.356096392 3
11.5%
462123.792297709 1
 
3.8%
462118.417920115 2
7.7%
461730.955043154 1
 
3.8%
461566.481688092 1
 
3.8%
460919.697646834 1
 
3.8%
459064.752797491 1
 
3.8%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
게임물배급업
24 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.8461538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 24
92.3%
<NA> 2
 
7.7%

Length

2024-04-06T21:52:23.636386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:23.903159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 24
92.3%
na 2
 
7.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
유통관련업
24 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9230769
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 24
92.3%
<NA> 2
 
7.7%

Length

2024-04-06T21:52:24.289339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:24.530851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 24
92.3%
na 2
 
7.7%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
0
 
2
18
 
1
15
 
1
28
 
1

Length

Max length4
Median length4
Mean length3.5384615
Min length1

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row18

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
0 2
 
7.7%
18 1
 
3.8%
15 1
 
3.8%
28 1
 
3.8%

Length

2024-04-06T21:52:24.755261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:25.034411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
0 2
 
7.7%
18 1
 
3.8%
15 1
 
3.8%
28 1
 
3.8%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing24
Missing (%)92.3%
Memory size340.0 B
2024-04-06T21:52:25.340321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
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 (%)100.0%

Sample

1st row아파트지역
2nd row주택가주변
ValueCountFrequency (%)
아파트지역 1
50.0%
주택가주변 1
50.0%
2024-04-06T21:52:25.959397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

제작취급품목내용
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-04-06T21:52:26.297876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length9.5
Min length2

Characters and Unicode

Total characters228
Distinct characters49
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row아케이드
2nd row컴퓨터 게임 및 소프트웨어
3rd row게임 소프트웨어
4th row게임소프트웨어
5th row게임및응용소프트웨어
ValueCountFrequency (%)
게임 6
 
14.0%
및 3
 
7.0%
소프트웨어 3
 
7.0%
온라인게임 2
 
4.7%
아케이드 2
 
4.7%
모바일게임 2
 
4.7%
개발 2
 
4.7%
온라인 1
 
2.3%
제작 1
 
2.3%
배급 1
 
2.3%
Other values (20) 20
46.5%
2024-04-06T21:52:27.094893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 26
 
11.4%
임 26
 
11.4%
19
 
8.3%
트 13
 
5.7%
소 10
 
4.4%
프 10
 
4.4%
어 9
 
3.9%
웨 9
 
3.9%
, 7
 
3.1%
아 5
 
2.2%
Other values (39) 94
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
81.1%
Space Separator 19
 
8.3%
Uppercase Letter 17
 
7.5%
Other Punctuation 7
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 26
 
14.1%
임 26
 
14.1%
트 13
 
7.0%
소 10
 
5.4%
프 10
 
5.4%
어 9
 
4.9%
웨 9
 
4.9%
아 5
 
2.7%
및 5
 
2.7%
드 5
 
2.7%
Other values (26) 67
36.2%
Uppercase Letter
ValueCountFrequency (%)
M 4
23.5%
O 2
11.8%
G 2
11.8%
E 2
11.8%
R 1
 
5.9%
B 1
 
5.9%
S 1
 
5.9%
A 1
 
5.9%
L 1
 
5.9%
I 1
 
5.9%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
81.1%
Common 26
 
11.4%
Latin 17
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 26
 
14.1%
임 26
 
14.1%
트 13
 
7.0%
소 10
 
5.4%
프 10
 
5.4%
어 9
 
4.9%
웨 9
 
4.9%
아 5
 
2.7%
및 5
 
2.7%
드 5
 
2.7%
Other values (26) 67
36.2%
Latin
ValueCountFrequency (%)
M 4
23.5%
O 2
11.8%
G 2
11.8%
E 2
11.8%
R 1
 
5.9%
B 1
 
5.9%
S 1
 
5.9%
A 1
 
5.9%
L 1
 
5.9%
I 1
 
5.9%
Common
ValueCountFrequency (%)
19
73.1%
, 7
 
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
81.1%
ASCII 43
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 26
 
14.1%
임 26
 
14.1%
트 13
 
7.0%
소 10
 
5.4%
프 10
 
5.4%
어 9
 
4.9%
웨 9
 
4.9%
아 5
 
2.7%
및 5
 
2.7%
드 5
 
2.7%
Other values (26) 67
36.2%
ASCII
ValueCountFrequency (%)
19
44.2%
, 7
 
16.3%
M 4
 
9.3%
O 2
 
4.7%
G 2
 
4.7%
E 2
 
4.7%
R 1
 
2.3%
B 1
 
2.3%
S 1
 
2.3%
A 1
 
2.3%
Other values (3) 3
 
7.0%

시설면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing8
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean60.158333
Minimum1
Maximum224.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:52:27.485819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.955
Q13.3
median34.38
Q3108.755
95-th percentile188.016
Maximum224.94
Range223.94
Interquartile range (IQR)105.455

Descriptive statistics

Standard deviation68.339656
Coefficient of variation (CV)1.1359965
Kurtosis0.50013004
Mean60.158333
Median Absolute Deviation (MAD)31.08
Skewness1.1664942
Sum1082.85
Variance4670.3086
MonotonicityNot monotonic
2024-04-06T21:52:27.848434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.3 5
19.2%
36.76 1
 
3.8%
114.82 1
 
3.8%
58.01 1
 
3.8%
42.8 1
 
3.8%
181.5 1
 
3.8%
32.0 1
 
3.8%
18.0 1
 
3.8%
1.0 1
 
3.8%
130.0 1
 
3.8%
Other values (4) 4
15.4%
(Missing) 8
30.8%
ValueCountFrequency (%)
1.0 1
 
3.8%
3.3 5
19.2%
13.2 1
 
3.8%
18.0 1
 
3.8%
32.0 1
 
3.8%
36.76 1
 
3.8%
42.8 1
 
3.8%
58.01 1
 
3.8%
102.47 1
 
3.8%
110.85 1
 
3.8%
ValueCountFrequency (%)
224.94 1
3.8%
181.5 1
3.8%
130.0 1
3.8%
114.82 1
3.8%
110.85 1
3.8%
102.47 1
3.8%
58.01 1
3.8%
42.8 1
3.8%
36.76 1
3.8%
32.0 1
3.8%

지상층수
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
20 
15
 
2
7
 
1
28
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique4 ?
Unique (%)15.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row15

Common Values

ValueCountFrequency (%)
<NA> 20
76.9%
15 2
 
7.7%
7 1
 
3.8%
28 1
 
3.8%
0 1
 
3.8%
2 1
 
3.8%

Length

2024-04-06T21:52:28.240314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:28.522624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
76.9%
15 2
 
7.7%
7 1
 
3.8%
28 1
 
3.8%
0 1
 
3.8%
2 1
 
3.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
22 
3
 
2
0
 
2

Length

Max length4
Median length4
Mean length3.5384615
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row3

Common Values

ValueCountFrequency (%)
<NA> 22
84.6%
3 2
 
7.7%
0 2
 
7.7%

Length

2024-04-06T21:52:28.805743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:29.051455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
84.6%
3 2
 
7.7%
0 2
 
7.7%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
2024-04-06T21:52:29.255261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.6
Min length3

Characters and Unicode

Total characters18
Distinct characters12
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

Unique1 ?
Unique (%)20.0%

Sample

1st row사무실
2nd row아파트
3rd row아파트
4th row사무실
5th row근린생활시설
ValueCountFrequency (%)
사무실 2
40.0%
아파트 2
40.0%
근린생활시설 1
20.0%
2024-04-06T21:52:29.780816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
11.1%
무 2
11.1%
실 2
11.1%
아 2
11.1%
파 2
11.1%
트 2
11.1%
근 1
5.6%
린 1
5.6%
생 1
5.6%
활 1
5.6%
Other values (2) 2
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
11.1%
무 2
11.1%
실 2
11.1%
아 2
11.1%
파 2
11.1%
트 2
11.1%
근 1
5.6%
린 1
5.6%
생 1
5.6%
활 1
5.6%
Other values (2) 2
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
11.1%
무 2
11.1%
실 2
11.1%
아 2
11.1%
파 2
11.1%
트 2
11.1%
근 1
5.6%
린 1
5.6%
생 1
5.6%
활 1
5.6%
Other values (2) 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
11.1%
무 2
11.1%
실 2
11.1%
아 2
11.1%
파 2
11.1%
트 2
11.1%
근 1
5.6%
린 1
5.6%
생 1
5.6%
활 1
5.6%
Other values (2) 2
11.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-04-06T21:52:30.080225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:30.352771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-04-06T21:52:30.552813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:30.765269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-04-06T21:52:31.090265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:31.295327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-04-06T21:52:31.572943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:32.214390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
0
 
2

Length

Max length4
Median length4
Mean length3.7692308
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> 24
92.3%
0 2
 
7.7%

Length

2024-04-06T21:52:32.419544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:32.629758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
0 2
 
7.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing22
Missing (%)84.6%
Memory size340.0 B
2024-04-06T21:52:32.920474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
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 (%)50.0%

Sample

1st row일반상업지역
2nd row전용주거지역
3rd row일반상업지역
4th row주거지역
ValueCountFrequency (%)
일반상업지역 2
50.0%
전용주거지역 1
25.0%
주거지역 1
25.0%
2024-04-06T21:52:33.500317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
상 2
9.1%
업 2
9.1%
주 2
9.1%
거 2
9.1%
전 1
 
4.5%
용 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%
일 2
9.1%
반 2
9.1%
상 2
9.1%
업 2
9.1%
주 2
9.1%
거 2
9.1%
전 1
 
4.5%
용 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%
일 2
9.1%
반 2
9.1%
상 2
9.1%
업 2
9.1%
주 2
9.1%
거 2
9.1%
전 1
 
4.5%
용 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%
일 2
9.1%
반 2
9.1%
상 2
9.1%
업 2
9.1%
주 2
9.1%
거 2
9.1%
전 1
 
4.5%
용 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03100000CDFF224112200600000120061108<NA>3폐업3폐업20080415<NA><NA><NA>936-0602<NA>139816서울특별시 노원구 상계동 ***-*번지 유신빌딩 지층서울특별시 노원구 상계로**길 ** (상계동,유신빌딩 지층)<NA>브이스타2008-04-17 11:10:31I2018-08-31 23:59:59.0<NA>206179.721259461730.955043게임물배급업유통관련업<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>
13100000CDFF224112200700000120070115<NA>3폐업3폐업20111222<NA><NA><NA><NA><NA>139876서울특별시 노원구 상계동 ****번지 토마토파르코 ****호서울특별시 노원구 동일로 ****, ****호 (상계동,토마토파르코)<NA>주식회사 가온인터내셔날2011-12-22 16:07:23I2018-08-31 23:59:59.0<NA>204855.557181464199.048415게임물배급업유통관련업<NA><NA>컴퓨터 게임 및 소프트웨어<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23100000CDFF224112200700000320070510<NA>3폐업3폐업20111226<NA><NA><NA><NA><NA>139804서울특별시 노원구 공릉동 ***-**번지서울특별시 노원구 공릉로**가길 *-* (공릉동)<NA>E.Z.com2011-12-26 14:50:46I2018-08-31 23:59:59.0<NA>206998.116876458288.278953게임물배급업유통관련업<NA><NA>게임 소프트웨어<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33100000CDFF224112200700000520071213<NA>3폐업3폐업20111226<NA><NA><NA><NA><NA>139804서울특별시 노원구 공릉동 ***-**번지 *층서울특별시 노원구 공릉로**가길 *-* (공릉동,*층)<NA>E.Z.com2011-12-26 14:59:10I2018-08-31 23:59:59.0<NA>206998.116876458288.278953게임물배급업유통관련업<NA><NA>게임소프트웨어<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43100000CDFF224112200800000120080728<NA>3폐업3폐업20111227<NA><NA><NA><NA><NA>139838서울특별시 노원구 상계동 ****번지 파르코오피스텔 ***호서울특별시 노원구 동일로 ****, ***호 (상계동,파르코오피스텔)<NA>(주)세븐게임트리2011-12-27 14:14:55I2018-08-31 23:59:59.0<NA>204855.557181464199.048415게임물배급업유통관련업18아파트지역게임및응용소프트웨어36.76153사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
53100000CDFF224112200800000220081120<NA>3폐업3폐업20141210<NA><NA><NA><NA><NA>139838서울특별시 노원구 상계동 ****번지 은빛아파트 ***-***서울특별시 노원구 동일로***길 *** (상계동,은빛아파트 ***-***)<NA>장병짱노래방2014-12-10 14:14:43I2018-08-31 23:59:59.0<NA>204680.308194464346.663669게임물배급업유통관련업<NA><NA>게임기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63100000CDFF224112200900000120090107<NA>3폐업3폐업20150831<NA><NA><NA><NA><NA>139801서울특별시 노원구 공릉동 ***-*번지 신원@ ***-****서울특별시 노원구 동일로***나길 ** (공릉동,신원@ ***-****)<NA>맥스모바일2015-08-31 15:13:10I2018-08-31 23:59:59.0<NA>206559.323071458381.268802게임물배급업유통관련업<NA><NA>모바일게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73100000CDFF224112201000000120100906<NA>3폐업3폐업20151006<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 수락파크빌아파트 ***동 ****호<NA><NA>주식회사 아이씨지2015-10-06 10:32:30I2018-08-31 23:59:59.0<NA><NA><NA>게임물배급업유통관련업<NA><NA>게임소프트웨어,스마트폰용게임114.82<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83100000CDFF224112201000000220101213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-*번지 상계주공*단지아파트 ***동 ***호서울특별시 노원구 동일로***길 **, ***동 ***호 (상계동,상계주공*단지아파트)<NA>JOYUS EMTERTAINMENT GROUP2011-02-16 10:01:05I2018-08-31 23:59:59.0<NA>205644.745034460919.697647게임물배급업유통관련업15<NA>MOBILE GAMES58.0115<NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전용주거지역
93100000CDFF224112201100000120110330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-*번지 (*구역**블럭*롯트)상계뉴타운프라자 ***호서울특별시 노원구 덕릉로 ***, ***호 (상계동,(*구역**블럭*롯트)상계뉴타운프라자)<NA>대호컴퍼니2011-03-30 15:18:26I2018-08-31 23:59:59.0<NA>206964.311274462947.663034게임물배급업유통관련업<NA><NA>게임소프트웨어,스마트폰용게임,게임기기42.87<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
163100000CDFF224112201500000320150807<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-***번지 *층 ***호-*서울특별시 노원구 한글비석로 ***, *층 ***호-*호 (상계동, 민지유치원)1682수현 엔터테이먼트2015-08-07 08:25:14I2018-08-31 23:59:59.0<NA>206147.349211462118.41792게임물배급업유통관련업<NA>주택가주변소프트웨어 개발 및 제작 배급3.3<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
173100000CDFF224112201600000120090403<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-**번지 소담빌 ***호서울특별시 노원구 노해로**길 **-**, ***호 (상계동, 소담빌)1695(주)삼육오존2016-05-11 14:18:46I2018-08-31 23:59:59.0<NA>205767.862144461566.481688게임물배급업유통관련업<NA><NA>게임물130.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183100000CDFF224112201800000120180327<NA>3폐업3폐업20210705<NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 ***-* *층서울특별시 노원구 공릉로**가길 *, 한국야쿠르트 하계관리점 *층 (하계동)1830올파워윈2021-07-05 15:12:17U2021-07-07 02:40:00.0<NA>206201.840029459064.752797게임물배급업유통관련업<NA><NA>아케이드 게임3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193100000CDFF224112201800000220180621<NA>3폐업3폐업20190121<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-***번지 ***-*호서울특별시 노원구 한글비석로 ***, 민지유치원 ***-*호 (상계동)1682블록게임즈2019-01-21 09:08:41U2019-01-23 02:40:00.0<NA>206147.349211462118.41792게임물배급업유통관련업<NA><NA>게임3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203100000CDFF224112201800000320181018<NA>1영업/정상13영업중<NA><NA><NA><NA>029064800<NA><NA>서울특별시 노원구 공릉동 ***-*번지 동영빌딩서울특별시 노원구 동일로***가길 ***, 동영빌딩 *층 (공릉동)1856주식회사 스포코리아2018-11-06 09:31:00U2018-11-08 02:36:09.0<NA>206236.783398458046.421677게임물배급업유통관련업<NA><NA>온라인, 모바일 게임224.94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213100000CDFF224112202100000120210127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 ***-** 성북플라자 ***호서울특별시 노원구 광운로 **, 성북플라자 ***호 (월계동)1892주식회사 이오디아트2021-01-29 10:16:26U2021-01-31 02:40:00.0<NA>205186.021722457813.60033게임물배급업유통관련업<NA><NA>게임 소프트 개발 및 공급102.47<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223100000CDFF224112202100000220211209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-*** 신흥빌딩 ****호서울특별시 노원구 한글비석로**길 **, 신흥빌딩 ****호 (상계동)1663위드온미2021-12-09 14:54:14I2021-12-11 00:22:54.0<NA>206270.823086462123.792298게임물배급업유통관련업0<NA>보드게임, MMORPG게임, 온라인게임, 모바일게임13.200<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
233100000CDFF224112202200000120181220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 **-* 지하 ***호서울특별시 노원구 화랑로 ***, 지하층 ***호 (월계동)1895알스 소프트웨어2022-03-15 15:56:54I2022-03-16 00:22:36.0<NA>205680.75386456996.048176게임물배급업유통관련업0<NA>아케이드게임110.8520<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
243100000CDFF224112202200000220221013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 ***-** 노원 프레미어스 엠코 ***동 ***C호서울특별시 노원구 동일로 ***, ***동 ***C호 (공릉동, 노원 프레미어스 엠코)1849(주)머니웹2022-10-13 13:42:46I2021-10-30 23:05:00.0<NA>206659.562561457357.219231<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253100000CDFF22411220220000032022-11-08<NA>3폐업3폐업2023-06-09<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 *** 인덕대학교 연지스퀘어 로비층 ***호서울특별시 노원구 초안산로 **, 인덕대학교 연지스퀘어 로비층 ***호 (월계동)1878별 헤는 밤2023-06-09 16:40:03U2022-12-05 23:01:00.0<NA>204790.424787458749.280582<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>