Overview

Dataset statistics

Number of variables56
Number of observations32
Missing cells1041
Missing cells (%)58.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory490.1 B

Variable types

Categorical12
Text9
DateTime3
Unsupported27
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16700/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (54.5%)Imbalance
지상층수 is highly imbalanced (60.1%)Imbalance
지하층수 is highly imbalanced (58.0%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
폐업일자 has 16 (50.0%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
전화번호 has 27 (84.4%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 23 (71.9%) missing valuesMissing
도로명우편번호 has 13 (40.6%) missing valuesMissing
업태구분명 has 32 (100.0%) missing valuesMissing
주변환경명 has 28 (87.5%) missing valuesMissing
제작취급품목내용 has 5 (15.6%) missing valuesMissing
시설면적 has 9 (28.1%) missing valuesMissing
건물용도명 has 27 (84.4%) missing valuesMissing
통로너비 has 32 (100.0%) missing valuesMissing
조명시설조도 has 32 (100.0%) missing valuesMissing
노래방실수 has 32 (100.0%) missing valuesMissing
청소년실수 has 32 (100.0%) missing valuesMissing
비상계단여부 has 32 (100.0%) missing valuesMissing
비상구여부 has 32 (100.0%) missing valuesMissing
자동환기여부 has 32 (100.0%) missing valuesMissing
청소년실여부 has 32 (100.0%) missing valuesMissing
특수조명여부 has 32 (100.0%) missing valuesMissing
방음시설여부 has 32 (100.0%) missing valuesMissing
비디오재생기명 has 32 (100.0%) missing valuesMissing
조명시설유무 has 32 (100.0%) missing valuesMissing
음향시설여부 has 32 (100.0%) missing valuesMissing
편의시설여부 has 32 (100.0%) missing valuesMissing
소방시설여부 has 32 (100.0%) missing valuesMissing
총게임기수 has 32 (100.0%) missing valuesMissing
기존게임업외업종명 has 32 (100.0%) missing valuesMissing
제공게임물명 has 32 (100.0%) missing valuesMissing
공연장형태구분명 has 32 (100.0%) missing valuesMissing
품목명 has 32 (100.0%) missing valuesMissing
최초등록시점 has 32 (100.0%) missing valuesMissing
지역구분명 has 29 (90.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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 started2024-05-11 05:52:41.499250
Analysis finished2024-05-11 05:52:42.123438
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
3090000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 32
100.0%

Length

2024-05-11T14:52:42.201608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:42.308244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 32
100.0%

관리번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:52:42.502526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters640
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowCDFF2241082006000001
2nd rowCDFF2241082006000002
3rd rowCDFF2241082007000001
4th rowCDFF2241082007000002
5th rowCDFF2241082007000003
ValueCountFrequency (%)
cdff2241082006000001 1
 
3.1%
cdff2241082006000002 1
 
3.1%
cdff2241082022000002 1
 
3.1%
cdff2241082022000001 1
 
3.1%
cdff2241082020000001 1
 
3.1%
cdff2241082019000002 1
 
3.1%
cdff2241082019000001 1
 
3.1%
cdff2241082017000002 1
 
3.1%
cdff2241082017000001 1
 
3.1%
cdff2241082016000001 1
 
3.1%
Other values (22) 22
68.8%
2024-05-11T14:52:42.886316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 237
37.0%
2 115
18.0%
1 66
 
10.3%
F 64
 
10.0%
4 35
 
5.5%
8 34
 
5.3%
C 32
 
5.0%
D 32
 
5.0%
7 7
 
1.1%
3 7
 
1.1%
Other values (3) 11
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
80.0%
Uppercase Letter 128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
46.3%
2 115
22.5%
1 66
 
12.9%
4 35
 
6.8%
8 34
 
6.6%
7 7
 
1.4%
3 7
 
1.4%
5 4
 
0.8%
9 4
 
0.8%
6 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 64
50.0%
C 32
25.0%
D 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
80.0%
Latin 128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
46.3%
2 115
22.5%
1 66
 
12.9%
4 35
 
6.8%
8 34
 
6.6%
7 7
 
1.4%
3 7
 
1.4%
5 4
 
0.8%
9 4
 
0.8%
6 3
 
0.6%
Latin
ValueCountFrequency (%)
F 64
50.0%
C 32
25.0%
D 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
37.0%
2 115
18.0%
1 66
 
10.3%
F 64
 
10.0%
4 35
 
5.5%
8 34
 
5.3%
C 32
 
5.0%
D 32
 
5.0%
7 7
 
1.1%
3 7
 
1.1%
Other values (3) 11
 
1.7%

인허가일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2004-11-15 00:00:00
Maximum2022-12-13 00:00:00
2024-05-11T14:52:43.043907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:52:43.186004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
16 
3
14 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row3
4th row4
5th row3

Common Values

ValueCountFrequency (%)
1 16
50.0%
3 14
43.8%
4 2
 
6.2%

Length

2024-05-11T14:52:43.314973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:43.419426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
50.0%
3 14
43.8%
4 2
 
6.2%

영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
16 
폐업
14 
취소/말소/만료/정지/중지
2 

Length

Max length14
Median length9.5
Mean length4.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 16
50.0%
폐업 14
43.8%
취소/말소/만료/정지/중지 2
 
6.2%

Length

2024-05-11T14:52:43.547753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:43.657307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
50.0%
폐업 14
43.8%
취소/말소/만료/정지/중지 2
 
6.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
16 
3
14 
35
2 

Length

Max length2
Median length2
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row13
3rd row3
4th row35
5th row3

Common Values

ValueCountFrequency (%)
13 16
50.0%
3 14
43.8%
35 2
 
6.2%

Length

2024-05-11T14:52:43.821496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:43.932242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
50.0%
3 14
43.8%
35 2
 
6.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
16 
폐업
14 
직권말소
2 

Length

Max length4
Median length3.5
Mean length2.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
50.0%
폐업 14
43.8%
직권말소 2
 
6.2%

Length

2024-05-11T14:52:44.051891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:44.177435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
50.0%
폐업 14
43.8%
직권말소 2
 
6.2%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)93.8%
Missing16
Missing (%)50.0%
Memory size388.0 B
Minimum2007-12-31 00:00:00
Maximum2023-03-31 00:00:00
2024-05-11T14:52:44.292073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:52:44.440540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing27
Missing (%)84.4%
Memory size388.0 B
2024-05-11T14:52:44.593629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.4
Min length8

Characters and Unicode

Total characters47
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

Unique5 ?
Unique (%)100.0%

Sample

1st row902-2206
2nd row3491-5406
3rd row997-0167
4th row1588-0162
5th row070-7951-0777
ValueCountFrequency (%)
902-2206 1
20.0%
3491-5406 1
20.0%
997-0167 1
20.0%
1588-0162 1
20.0%
070-7951-0777 1
20.0%
2024-05-11T14:52:44.917496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8
17.0%
7 7
14.9%
- 6
12.8%
9 5
10.6%
1 5
10.6%
2 4
8.5%
6 4
8.5%
5 3
 
6.4%
4 2
 
4.3%
8 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41
87.2%
Dash Punctuation 6
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
19.5%
7 7
17.1%
9 5
12.2%
1 5
12.2%
2 4
9.8%
6 4
9.8%
5 3
 
7.3%
4 2
 
4.9%
8 2
 
4.9%
3 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8
17.0%
7 7
14.9%
- 6
12.8%
9 5
10.6%
1 5
10.6%
2 4
8.5%
6 4
8.5%
5 3
 
6.4%
4 2
 
4.3%
8 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8
17.0%
7 7
14.9%
- 6
12.8%
9 5
10.6%
1 5
10.6%
2 4
8.5%
6 4
8.5%
5 3
 
6.4%
4 2
 
4.3%
8 2
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean132892.56
Minimum132853
Maximum132920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:52:45.045662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132853
5-th percentile132857.4
Q1132896
median132898
Q3132901
95-th percentile132913.6
Maximum132920
Range67
Interquartile range (IQR)5

Descriptive statistics

Standard deviation20.761208
Coefficient of variation (CV)0.00015622552
Kurtosis0.77199425
Mean132892.56
Median Absolute Deviation (MAD)3
Skewness-1.1093927
Sum1196033
Variance431.02778
MonotonicityNot monotonic
2024-05-11T14:52:45.169572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
132898 2
 
6.2%
132920 1
 
3.1%
132904 1
 
3.1%
132896 1
 
3.1%
132864 1
 
3.1%
132899 1
 
3.1%
132901 1
 
3.1%
132853 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
132853 1
3.1%
132864 1
3.1%
132896 1
3.1%
132898 2
6.2%
132899 1
3.1%
132901 1
3.1%
132904 1
3.1%
132920 1
3.1%
ValueCountFrequency (%)
132920 1
3.1%
132904 1
3.1%
132901 1
3.1%
132899 1
3.1%
132898 2
6.2%
132896 1
3.1%
132864 1
3.1%
132853 1
3.1%

지번주소
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:52:45.367644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length25.9375
Min length16

Characters and Unicode

Total characters830
Distinct characters58
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

Unique26 ?
Unique (%)81.2%

Sample

1st row서울특별시 도봉구 창동 ***-**번지 ***호
2nd row서울특별시 도봉구 창동 ***-**번지
3rd row서울특별시 도봉구 쌍문동 ***-*번지 B**호
4th row서울특별시 도봉구 쌍문동 ***-***번지 *층
5th row서울특별시 도봉구 방학동 ***-*번지 *층
ValueCountFrequency (%)
도봉구 33
20.0%
서울특별시 32
19.4%
번지 24
14.5%
창동 16
9.7%
호 10
 
6.1%
8
 
4.8%
도봉동 7
 
4.2%
방학동 6
 
3.6%
층 6
 
3.6%
쌍문동 3
 
1.8%
Other values (19) 20
12.1%
2024-05-11T14:52:45.723960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 170
20.5%
153
18.4%
봉 42
 
5.1%
도 42
 
5.1%
동 38
 
4.6%
구 34
 
4.1%
서 32
 
3.9%
울 32
 
3.9%
시 32
 
3.9%
특 32
 
3.9%
Other values (48) 223
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
56.9%
Other Punctuation 170
 
20.5%
Space Separator 153
 
18.4%
Dash Punctuation 26
 
3.1%
Uppercase Letter 5
 
0.6%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 42
 
8.9%
도 42
 
8.9%
동 38
 
8.1%
구 34
 
7.2%
서 32
 
6.8%
울 32
 
6.8%
시 32
 
6.8%
특 32
 
6.8%
별 32
 
6.8%
지 25
 
5.3%
Other values (39) 131
27.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
Q 1
 
20.0%
E 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
7 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 170
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
56.9%
Common 353
42.5%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 42
 
8.9%
도 42
 
8.9%
동 38
 
8.1%
구 34
 
7.2%
서 32
 
6.8%
울 32
 
6.8%
시 32
 
6.8%
특 32
 
6.8%
별 32
 
6.8%
지 25
 
5.3%
Other values (39) 131
27.8%
Common
ValueCountFrequency (%)
* 170
48.2%
153
43.3%
- 26
 
7.4%
5 2
 
0.6%
7 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
B 3
60.0%
Q 1
 
20.0%
E 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
56.9%
ASCII 358
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 170
47.5%
153
42.7%
- 26
 
7.3%
B 3
 
0.8%
5 2
 
0.6%
7 1
 
0.3%
Q 1
 
0.3%
E 1
 
0.3%
1 1
 
0.3%
Hangul
ValueCountFrequency (%)
봉 42
 
8.9%
도 42
 
8.9%
동 38
 
8.1%
구 34
 
7.2%
서 32
 
6.8%
울 32
 
6.8%
시 32
 
6.8%
특 32
 
6.8%
별 32
 
6.8%
지 25
 
5.3%
Other values (39) 131
27.8%

도로명주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:52:45.981518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length35.1875
Min length26

Characters and Unicode

Total characters1126
Distinct characters98
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 도봉구 도봉로***아길 *, ***호 (창동)
2nd row서울특별시 도봉구 노해로**길 **-* (창동)
3rd row서울특별시 도봉구 도봉로***길 ** (쌍문동,B**호)
4th row서울특별시 도봉구 우이천로 ***-* (쌍문동,*층)
5th row서울특별시 도봉구 시루봉로**길 ** (방학동,*층)
ValueCountFrequency (%)
33
15.6%
서울특별시 32
15.2%
도봉구 32
15.2%
호 17
 
8.1%
창동 11
 
5.2%
도봉동 7
 
3.3%
층 7
 
3.3%
도봉로***길 6
 
2.8%
노해로**길 4
 
1.9%
마들로**길 4
 
1.9%
Other values (48) 58
27.5%
2024-05-11T14:52:46.389386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 204
18.1%
192
17.1%
도 56
 
5.0%
봉 55
 
4.9%
동 40
 
3.6%
, 39
 
3.5%
시 34
 
3.0%
구 34
 
3.0%
서 32
 
2.8%
( 32
 
2.8%
Other values (88) 408
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 600
53.3%
Other Punctuation 243
21.6%
Space Separator 192
 
17.1%
Open Punctuation 32
 
2.8%
Close Punctuation 32
 
2.8%
Uppercase Letter 14
 
1.2%
Decimal Number 7
 
0.6%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 56
 
9.3%
봉 55
 
9.2%
동 40
 
6.7%
시 34
 
5.7%
구 34
 
5.7%
서 32
 
5.3%
울 32
 
5.3%
별 32
 
5.3%
특 32
 
5.3%
로 31
 
5.2%
Other values (71) 222
37.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
I 2
 
14.3%
N 2
 
14.3%
G 2
 
14.3%
K 2
 
14.3%
S 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 2
28.6%
6 1
14.3%
7 1
14.3%
0 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 204
84.0%
, 39
 
16.0%
Space Separator
ValueCountFrequency (%)
192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 600
53.3%
Common 512
45.5%
Latin 14
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 56
 
9.3%
봉 55
 
9.2%
동 40
 
6.7%
시 34
 
5.7%
구 34
 
5.7%
서 32
 
5.3%
울 32
 
5.3%
별 32
 
5.3%
특 32
 
5.3%
로 31
 
5.2%
Other values (71) 222
37.0%
Common
ValueCountFrequency (%)
* 204
39.8%
192
37.5%
, 39
 
7.6%
( 32
 
6.2%
) 32
 
6.2%
- 6
 
1.2%
2 2
 
0.4%
1 2
 
0.4%
6 1
 
0.2%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
B 5
35.7%
I 2
 
14.3%
N 2
 
14.3%
G 2
 
14.3%
K 2
 
14.3%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 600
53.3%
ASCII 526
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 204
38.8%
192
36.5%
, 39
 
7.4%
( 32
 
6.1%
) 32
 
6.1%
- 6
 
1.1%
B 5
 
1.0%
I 2
 
0.4%
N 2
 
0.4%
G 2
 
0.4%
Other values (7) 10
 
1.9%
Hangul
ValueCountFrequency (%)
도 56
 
9.3%
봉 55
 
9.2%
동 40
 
6.7%
시 34
 
5.7%
구 34
 
5.7%
서 32
 
5.3%
울 32
 
5.3%
별 32
 
5.3%
특 32
 
5.3%
로 31
 
5.2%
Other values (71) 222
37.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean15176.053
Minimum1306
Maximum132925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:52:46.512457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1306
5-th percentile1306
Q11333.5
median1400
Q31420
95-th percentile132128.5
Maximum132925
Range131619
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation41338.628
Coefficient of variation (CV)2.7239381
Kurtosis6.5092244
Mean15176.053
Median Absolute Deviation (MAD)51
Skewness2.7984993
Sum288345
Variance1.7088822 × 109
MonotonicityNot monotonic
2024-05-11T14:52:46.623781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1414 3
 
9.4%
1306 2
 
6.2%
1400 1
 
3.1%
1436 1
 
3.1%
1382 1
 
3.1%
1426 1
 
3.1%
1325 1
 
3.1%
1350 1
 
3.1%
1342 1
 
3.1%
1322 1
 
3.1%
Other values (6) 6
18.8%
(Missing) 13
40.6%
ValueCountFrequency (%)
1306 2
6.2%
1307 1
3.1%
1322 1
3.1%
1325 1
3.1%
1342 1
3.1%
1349 1
3.1%
1350 1
3.1%
1382 1
3.1%
1400 1
3.1%
1403 1
3.1%
ValueCountFrequency (%)
132925 1
 
3.1%
132040 1
 
3.1%
1484 1
 
3.1%
1436 1
 
3.1%
1426 1
 
3.1%
1414 3
9.4%
1403 1
 
3.1%
1400 1
 
3.1%
1382 1
 
3.1%
1350 1
 
3.1%

사업장명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T14:52:46.812287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.5625
Min length2

Characters and Unicode

Total characters242
Distinct characters115
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

Unique32 ?
Unique (%)100.0%

Sample

1st row해모수
2nd row(주)지투소프트
3rd row양툰
4th row지아이넷
5th rowBTN
ValueCountFrequency (%)
주식회사 3
 
6.8%
해모수 1
 
2.3%
플레이투더스카이 1
 
2.3%
쓰리포스게임즈 1
 
2.3%
붕붕 1
 
2.3%
소프트 1
 
2.3%
엠지소프트 1
 
2.3%
레이스 1
 
2.3%
게임 1
 
2.3%
아쿠아 1
 
2.3%
Other values (32) 32
72.7%
2024-05-11T14:52:47.156480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
5.0%
이 10
 
4.1%
( 9
 
3.7%
) 9
 
3.7%
트 8
 
3.3%
주 8
 
3.3%
소 7
 
2.9%
프 7
 
2.9%
스 7
 
2.9%
아 5
 
2.1%
Other values (105) 160
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
70.7%
Uppercase Letter 28
 
11.6%
Space Separator 12
 
5.0%
Lowercase Letter 11
 
4.5%
Open Punctuation 9
 
3.7%
Close Punctuation 9
 
3.7%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
5.8%
트 8
 
4.7%
주 8
 
4.7%
소 7
 
4.1%
프 7
 
4.1%
스 7
 
4.1%
아 5
 
2.9%
지 5
 
2.9%
리 5
 
2.9%
레 4
 
2.3%
Other values (76) 105
61.4%
Uppercase Letter
ValueCountFrequency (%)
T 4
14.3%
B 3
10.7%
O 3
10.7%
S 2
 
7.1%
F 2
 
7.1%
R 2
 
7.1%
I 2
 
7.1%
N 2
 
7.1%
C 1
 
3.6%
E 1
 
3.6%
Other values (6) 6
21.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
h 1
 
9.1%
c 1
 
9.1%
i 1
 
9.1%
v 1
 
9.1%
d 1
 
9.1%
o 1
 
9.1%
m 1
 
9.1%
f 1
 
9.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
70.7%
Latin 39
 
16.1%
Common 32
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
5.8%
트 8
 
4.7%
주 8
 
4.7%
소 7
 
4.1%
프 7
 
4.1%
스 7
 
4.1%
아 5
 
2.9%
지 5
 
2.9%
리 5
 
2.9%
레 4
 
2.3%
Other values (76) 105
61.4%
Latin
ValueCountFrequency (%)
T 4
 
10.3%
e 3
 
7.7%
B 3
 
7.7%
O 3
 
7.7%
S 2
 
5.1%
F 2
 
5.1%
R 2
 
5.1%
I 2
 
5.1%
N 2
 
5.1%
h 1
 
2.6%
Other values (15) 15
38.5%
Common
ValueCountFrequency (%)
12
37.5%
( 9
28.1%
) 9
28.1%
. 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
70.7%
ASCII 71
29.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
16.9%
( 9
12.7%
) 9
12.7%
T 4
 
5.6%
e 3
 
4.2%
B 3
 
4.2%
O 3
 
4.2%
S 2
 
2.8%
F 2
 
2.8%
R 2
 
2.8%
Other values (19) 22
31.0%
Hangul
ValueCountFrequency (%)
이 10
 
5.8%
트 8
 
4.7%
주 8
 
4.7%
소 7
 
4.1%
프 7
 
4.1%
스 7
 
4.1%
아 5
 
2.9%
지 5
 
2.9%
리 5
 
2.9%
레 4
 
2.3%
Other values (76) 105
61.4%

최종수정일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2006-05-10 10:19:38
Maximum2023-03-31 16:49:11
2024-05-11T14:52:47.271689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:52:47.412683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
I
25 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
78.1%
U 7
 
21.9%

Length

2024-05-11T14:52:47.539332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:47.651947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
78.1%
u 7
 
21.9%

데이터갱신일자
Categorical

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2018-08-31 23:59:59.0
21 
2021-06-05 02:40:00.0
 
1
2018-11-22 02:36:17.0
 
1
2020-08-27 02:40:00.0
 
1
2018-11-11 02:36:30.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)34.4%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 21
65.6%
2021-06-05 02:40:00.0 1
 
3.1%
2018-11-22 02:36:17.0 1
 
3.1%
2020-08-27 02:40:00.0 1
 
3.1%
2018-11-11 02:36:30.0 1
 
3.1%
2022-12-04 00:02:00.0 1
 
3.1%
2021-12-23 02:40:00.0 1
 
3.1%
2022-01-06 02:40:00.0 1
 
3.1%
2020-04-22 00:23:38.0 1
 
3.1%
2021-12-08 00:02:00.0 1
 
3.1%
Other values (2) 2
 
6.2%

Length

2024-05-11T14:52:47.755495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 21
32.8%
23:59:59.0 21
32.8%
02:40:00.0 4
 
6.2%
2021-12-08 2
 
3.1%
00:02:00.0 2
 
3.1%
2021-12-23 1
 
1.6%
2021-11-01 1
 
1.6%
00:05:00.0 1
 
1.6%
00:23:38.0 1
 
1.6%
2020-04-22 1
 
1.6%
Other values (9) 9
14.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌표정보(X)
Real number (ℝ)

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203703.03
Minimum202552.06
Maximum204719.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:52:47.895443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202552.06
5-th percentile202735.33
Q1203343.6
median203666.18
Q3204164.24
95-th percentile204453.44
Maximum204719.28
Range2167.2144
Interquartile range (IQR)820.63854

Descriptive statistics

Standard deviation567.0933
Coefficient of variation (CV)0.0027839218
Kurtosis-0.61099142
Mean203703.03
Median Absolute Deviation (MAD)436.18433
Skewness-0.24618641
Sum6518497
Variance321594.82
MonotonicityNot monotonic
2024-05-11T14:52:48.332226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
204413.616574592 2
 
6.2%
204247.213401781 2
 
6.2%
203248.698419273 1
 
3.1%
203368.961127983 1
 
3.1%
203123.379385695 1
 
3.1%
202552.06293165 1
 
3.1%
203458.502547006 1
 
3.1%
204136.58447783 1
 
3.1%
203554.790739085 1
 
3.1%
203868.638464726 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
202552.06293165 1
3.1%
202595.658687291 1
3.1%
202849.60813861 1
3.1%
202896.951117497 1
3.1%
203119.642148816 1
3.1%
203123.379385695 1
3.1%
203248.698419273 1
3.1%
203267.529280254 1
3.1%
203368.961127983 1
3.1%
203458.502547006 1
3.1%
ValueCountFrequency (%)
204719.277363253 1
3.1%
204502.118604099 1
3.1%
204413.616574592 2
6.2%
204357.382835077 1
3.1%
204345.826664906 1
3.1%
204247.213401781 2
6.2%
204136.58447783 1
3.1%
204114.466211543 1
3.1%
204090.260849332 1
3.1%
203868.638464726 1
3.1%

좌표정보(Y)
Real number (ℝ)

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461993.63
Minimum460165.72
Maximum465134.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:52:48.458231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum460165.72
5-th percentile460383.01
Q1461130.63
median461429.03
Q3462932.42
95-th percentile464056.61
Maximum465134.1
Range4968.3858
Interquartile range (IQR)1801.7885

Descriptive statistics

Standard deviation1299.0456
Coefficient of variation (CV)0.0028118258
Kurtosis-0.51173271
Mean461993.63
Median Absolute Deviation (MAD)882.74937
Skewness0.65024988
Sum14783796
Variance1687519.5
MonotonicityNot monotonic
2024-05-11T14:52:48.583762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
461378.588676784 2
 
6.2%
461131.830916668 2
 
6.2%
460397.248912845 1
 
3.1%
460631.043856993 1
 
3.1%
461324.417227813 1
 
3.1%
462071.049647988 1
 
3.1%
461493.494596301 1
 
3.1%
463573.102150294 1
 
3.1%
462945.647429763 1
 
3.1%
461479.469917532 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
460165.715868777 1
3.1%
460365.605858665 1
3.1%
460397.248912845 1
3.1%
460461.515990929 1
3.1%
460631.043856993 1
3.1%
460926.258655767 1
3.1%
461119.957690091 1
3.1%
461127.032385511 1
3.1%
461131.830916668 2
6.2%
461139.798495863 1
3.1%
ValueCountFrequency (%)
465134.101701726 1
3.1%
464103.765403539 1
3.1%
464018.019728157 1
3.1%
463892.861101303 1
3.1%
463669.715490233 1
3.1%
463573.102150294 1
3.1%
463067.340318666 1
3.1%
462945.647429763 1
3.1%
462928.010551761 1
3.1%
462824.110284992 1
3.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
게임물제작업
28 
<NA>
4 

Length

Max length6
Median length6
Mean length5.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 28
87.5%
<NA> 4
 
12.5%

Length

2024-05-11T14:52:48.723822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:48.838298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 28
87.5%
na 4
 
12.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
유통관련업
28 
<NA>
4 

Length

Max length5
Median length5
Mean length4.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 28
87.5%
<NA> 4
 
12.5%

Length

2024-05-11T14:52:48.944633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:49.050937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 28
87.5%
na 4
 
12.5%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
26 
5
 
2
3
 
2
13
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.46875
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row5
2nd row13
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
81.2%
5 2
 
6.2%
3 2
 
6.2%
13 1
 
3.1%
8 1
 
3.1%

Length

2024-05-11T14:52:49.169731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:49.279275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
81.2%
5 2
 
6.2%
3 2
 
6.2%
13 1
 
3.1%
8 1
 
3.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing28
Missing (%)87.5%
Memory size388.0 B
2024-05-11T14:52:49.382013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

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

Characters and Unicode

Total characters14
Distinct characters11
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 row기타
2nd row기타
3rd row아파트지역
4th row주택가주변
ValueCountFrequency (%)
기타 2
50.0%
아파트지역 1
25.0%
주택가주변 1
25.0%
2024-05-11T14:52:49.643799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
주 2
14.3%
아 1
7.1%
파 1
7.1%
트 1
7.1%
지 1
7.1%
역 1
7.1%
택 1
7.1%
가 1
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
주 2
14.3%
아 1
7.1%
파 1
7.1%
트 1
7.1%
지 1
7.1%
역 1
7.1%
택 1
7.1%
가 1
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
주 2
14.3%
아 1
7.1%
파 1
7.1%
트 1
7.1%
지 1
7.1%
역 1
7.1%
택 1
7.1%
가 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
주 2
14.3%
아 1
7.1%
파 1
7.1%
트 1
7.1%
지 1
7.1%
역 1
7.1%
택 1
7.1%
가 1
7.1%

제작취급품목내용
Text

MISSING 

Distinct23
Distinct (%)85.2%
Missing5
Missing (%)15.6%
Memory size388.0 B
2024-05-11T14:52:49.844648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length8.1851852
Min length3

Characters and Unicode

Total characters221
Distinct characters58
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

Unique19 ?
Unique (%)70.4%

Sample

1st row모바일게임
2nd row에듀게임
3rd row온라인게임
4th row아케이드 게임
5th row모바일 게임 및 기타 휴대용 플랫폼 게임
ValueCountFrequency (%)
게임 7
 
13.2%
게임물 6
 
11.3%
아케이드 4
 
7.5%
및 3
 
5.7%
온라인게임 3
 
5.7%
모바일 3
 
5.7%
등 2
 
3.8%
모바일게임 2
 
3.8%
소프트웨어 1
 
1.9%
개발 1
 
1.9%
Other values (21) 21
39.6%
2024-05-11T14:52:50.233295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 27
 
12.2%
임 27
 
12.2%
26
 
11.8%
이 10
 
4.5%
일 8
 
3.6%
케 7
 
3.2%
모 7
 
3.2%
바 7
 
3.2%
드 6
 
2.7%
물 6
 
2.7%
Other values (48) 90
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
85.5%
Space Separator 26
 
11.8%
Other Punctuation 4
 
1.8%
Uppercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 27
 
14.3%
임 27
 
14.3%
이 10
 
5.3%
일 8
 
4.2%
케 7
 
3.7%
모 7
 
3.7%
바 7
 
3.7%
드 6
 
3.2%
물 6
 
3.2%
아 5
 
2.6%
Other values (44) 79
41.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
85.5%
Common 30
 
13.6%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 27
 
14.3%
임 27
 
14.3%
이 10
 
5.3%
일 8
 
4.2%
케 7
 
3.7%
모 7
 
3.7%
바 7
 
3.7%
드 6
 
3.2%
물 6
 
3.2%
아 5
 
2.6%
Other values (44) 79
41.8%
Common
ValueCountFrequency (%)
26
86.7%
, 4
 
13.3%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
85.5%
ASCII 32
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 27
 
14.3%
임 27
 
14.3%
이 10
 
5.3%
일 8
 
4.2%
케 7
 
3.7%
모 7
 
3.7%
바 7
 
3.7%
드 6
 
3.2%
물 6
 
3.2%
아 5
 
2.6%
Other values (44) 79
41.8%
ASCII
ValueCountFrequency (%)
26
81.2%
, 4
 
12.5%
C 1
 
3.1%
P 1
 
3.1%

시설면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing9
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean81.737391
Minimum10
Maximum542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T14:52:50.420594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19.305
Q128.475
median50.4
Q394.25
95-th percentile195.905
Maximum542
Range532
Interquartile range (IQR)65.775

Descriptive statistics

Standard deviation109.43147
Coefficient of variation (CV)1.3388177
Kurtosis15.3834
Mean81.737391
Median Absolute Deviation (MAD)27.96
Skewness3.705497
Sum1879.96
Variance11975.247
MonotonicityNot monotonic
2024-05-11T14:52:50.568834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
100.0 2
 
6.2%
542.0 1
 
3.1%
21.33 1
 
3.1%
105.05 1
 
3.1%
62.0 1
 
3.1%
206.0 1
 
3.1%
42.35 1
 
3.1%
47.1 1
 
3.1%
19.08 1
 
3.1%
10.0 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 9
28.1%
ValueCountFrequency (%)
10.0 1
3.1%
19.08 1
3.1%
21.33 1
3.1%
22.44 1
3.1%
23.0 1
3.1%
28.35 1
3.1%
28.6 1
3.1%
33.0 1
3.1%
36.21 1
3.1%
42.35 1
3.1%
ValueCountFrequency (%)
542.0 1
3.1%
206.0 1
3.1%
105.05 1
3.1%
101.03 1
3.1%
100.0 2
6.2%
88.5 1
3.1%
82.5 1
3.1%
72.02 1
3.1%
62.0 1
3.1%
59.0 1
3.1%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
4
 
2
10
 
1
2
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.5625
Min length1

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row4
2nd row10
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
4 2
 
6.2%
10 1
 
3.1%
2 1
 
3.1%
6 1
 
3.1%

Length

2024-05-11T14:52:50.726255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:50.845892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
4 2
 
6.2%
10 1
 
3.1%
2 1
 
3.1%
6 1
 
3.1%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
1
3 
3
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.53125
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row1
2nd row3
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
1 3
 
9.4%
3 1
 
3.1%
2 1
 
3.1%

Length

2024-05-11T14:52:50.968775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:51.092776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
1 3
 
9.4%
3 1
 
3.1%
2 1
 
3.1%

건물용도명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing27
Missing (%)84.4%
Memory size388.0 B
2024-05-11T14:52:51.225208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length5.8
Min length2

Characters and Unicode

Total characters29
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row다가구용 주택(공동주택적용)
2nd row사무실
3rd row기타
4th row근린생활시설
5th row사무실
ValueCountFrequency (%)
사무실 2
33.3%
다가구용 1
16.7%
주택(공동주택적용 1
16.7%
기타 1
16.7%
근린생활시설 1
16.7%
2024-05-11T14:52:51.495188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
 
6.9%
실 2
 
6.9%
용 2
 
6.9%
주 2
 
6.9%
택 2
 
6.9%
무 2
 
6.9%
) 1
 
3.4%
시 1
 
3.4%
활 1
 
3.4%
생 1
 
3.4%
Other values (13) 13
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
89.7%
Close Punctuation 1
 
3.4%
Open Punctuation 1
 
3.4%
Space Separator 1
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
 
7.7%
실 2
 
7.7%
용 2
 
7.7%
주 2
 
7.7%
택 2
 
7.7%
무 2
 
7.7%
시 1
 
3.8%
활 1
 
3.8%
생 1
 
3.8%
린 1
 
3.8%
Other values (10) 10
38.5%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
89.7%
Common 3
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
 
7.7%
실 2
 
7.7%
용 2
 
7.7%
주 2
 
7.7%
택 2
 
7.7%
무 2
 
7.7%
시 1
 
3.8%
활 1
 
3.8%
생 1
 
3.8%
린 1
 
3.8%
Other values (10) 10
38.5%
Common
ValueCountFrequency (%)
) 1
33.3%
( 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
89.7%
ASCII 3
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
 
7.7%
실 2
 
7.7%
용 2
 
7.7%
주 2
 
7.7%
택 2
 
7.7%
무 2
 
7.7%
시 1
 
3.8%
활 1
 
3.8%
생 1
 
3.8%
린 1
 
3.8%
Other values (10) 10
38.5%
ASCII
ValueCountFrequency (%)
) 1
33.3%
( 1
33.3%
1
33.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing29
Missing (%)90.6%
Memory size388.0 B
2024-05-11T14:52:51.620806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.6666667
Min length4

Characters and Unicode

Total characters14
Distinct characters7
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 (%)33.3%

Sample

1st row준공업지역
2nd row준공업지역
3rd row주거지역
ValueCountFrequency (%)
준공업지역 2
66.7%
주거지역 1
33.3%
2024-05-11T14:52:51.849530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
준 2
14.3%
공 2
14.3%
업 2
14.3%
주 1
 
7.1%
거 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
준 2
14.3%
공 2
14.3%
업 2
14.3%
주 1
 
7.1%
거 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
준 2
14.3%
공 2
14.3%
업 2
14.3%
주 1
 
7.1%
거 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
21.4%
역 3
21.4%
준 2
14.3%
공 2
14.3%
업 2
14.3%
주 1
 
7.1%
거 1
 
7.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03090000CDFF224108200600000120060403<NA>4취소/말소/만료/정지/중지35직권말소20081029<NA><NA><NA><NA><NA>132920서울특별시 도봉구 창동 ***-**번지 ***호서울특별시 도봉구 도봉로***아길 *, ***호 (창동)<NA>해모수2009-01-30 11:16:19I2018-08-31 23:59:59.0<NA>203248.698419460397.248913게임물제작업유통관련업5기타<NA>36.2141다가구용 주택(공동주택적용)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
13090000CDFF224108200600000220060510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>132904서울특별시 도봉구 창동 ***-**번지서울특별시 도봉구 노해로**길 **-* (창동)<NA>(주)지투소프트2006-05-10 10:19:38I2018-08-31 23:59:59.0<NA>204090.260849461127.032386게임물제작업유통관련업13기타모바일게임82.5103사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
23090000CDFF224108200700000120070129<NA>3폐업3폐업20071231<NA><NA><NA><NA><NA>132896서울특별시 도봉구 쌍문동 ***-*번지 B**호서울특별시 도봉구 도봉로***길 ** (쌍문동,B**호)<NA>양툰2007-12-31 13:58:47I2018-08-31 23:59:59.0<NA>203503.88856462048.335215게임물제작업유통관련업<NA><NA>에듀게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33090000CDFF224108200700000220070130<NA>4취소/말소/만료/정지/중지35직권말소20081029<NA><NA><NA>902-2206<NA>132864서울특별시 도봉구 쌍문동 ***-***번지 *층서울특별시 도봉구 우이천로 ***-* (쌍문동,*층)<NA>지아이넷2009-01-30 11:16:53I2018-08-31 23:59:59.0<NA>202595.658687460165.715869게임물제작업유통관련업<NA><NA>온라인게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43090000CDFF224108200700000320070625<NA>3폐업3폐업20091002<NA><NA><NA>3491-5406<NA><NA>서울특별시 도봉구 방학동 ***-*번지 *층서울특별시 도봉구 시루봉로**길 ** (방학동,*층)<NA>BTN2010-03-29 16:10:50I2018-08-31 23:59:59.0<NA>202896.951117462928.010552게임물제작업유통관련업<NA><NA>아케이드 게임101.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53090000CDFF224108200700000420070727<NA>3폐업3폐업20090130<NA><NA><NA><NA><NA>132898서울특별시 도봉구 창동 *-**번지 도봉구 벤처기업 제*창업보육센터 제***호서울특별시 도봉구 마들로**길 ** (창동,도봉구 벤처기업 제*창업보육센터 제***호)<NA>펀팩토리2009-01-30 11:13:12I2018-08-31 23:59:59.0<NA>204413.616575461378.588677게임물제작업유통관련업<NA><NA>모바일 게임 및 기타 휴대용 플랫폼 게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63090000CDFF224108200700000520071224<NA>1영업/정상13영업중<NA><NA><NA><NA>997-0167<NA>132899서울특별시 도봉구 창동 **-*번지 동산빌딩 ***호서울특별시 도봉구 마들로**길 ** (창동,동산빌딩 ***호)<NA>(주)태안 씨엔에스2007-12-24 13:15:28I2018-08-31 23:59:59.0<NA>204502.118604461278.39108게임물제작업유통관련업<NA><NA>아케이드 게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73090000CDFF224108200800000120080311<NA>1영업/정상13영업중<NA><NA><NA><NA>1588-0162<NA>132901서울특별시 도봉구 창동 **-*번지 ***호서울특별시 도봉구 덕릉로 *** (창동,***호)<NA>주식회사 천하씨엔엠2008-05-26 11:50:21I2018-08-31 23:59:59.0<NA>204719.277363460365.605859게임물제작업유통관련업<NA><NA>아케이드 게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83090000CDFF224108200800000220080826<NA>3폐업3폐업20140711<NA><NA><NA><NA><NA>132898서울특별시 도봉구 창동 *-**번지 도봉구벤처기업 제*창업보육센터 ***호서울특별시 도봉구 마들로**길 **, ***호 (창동,도봉구벤처기업 제*창업보육센터)<NA>(주)에그소프트2014-07-11 15:15:07I2018-08-31 23:59:59.0<NA>204413.616575461378.588677게임물제작업유통관련업5아파트지역모바일 게임물22.4441기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93090000CDFF224108200900000120090209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>132853서울특별시 도봉구 방학동 ***번지 *층서울특별시 도봉구 도당로 *** (방학동,*층)<NA>G.I.O 솔루션2009-02-09 14:55:25I2018-08-31 23:59:59.0<NA>203624.936211462737.8858게임물제작업유통관련업3<NA>아케이드 게임물33.021근린생활시설<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
223090000CDFF224108201500000320151201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 ***-**번지 *층 동쪽서울특별시 도봉구 도봉로***길 ** (도봉동, *층 동쪽)1306아쿠아2015-12-01 17:41:38I2018-08-31 23:59:59.0<NA>203604.492056464018.019728게임물제작업유통관련업<NA><NA>일반 게임47.1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233090000CDFF224108201600000120161202<NA>3폐업3폐업20200824<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *-*서울특별시 도봉구 마들로**가길 **, *층 *호 (창동, KING 프라자)1414리치(Rich)소프트웨어2020-08-25 09:07:51U2020-08-27 02:40:00.0<NA>204247.213402461131.830917게임물제작업유통관련업<NA><NA>청소년이용불가 게임물42.35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243090000CDFF224108201700000120170303<NA>3폐업3폐업20181109<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 ***-**번지서울특별시 도봉구 도봉로***길 ** (도봉동, 무궁화빌딩)1322주식회사 플레이투더스카이2018-11-09 16:32:05U2018-11-11 02:36:30.0<NA>204114.466212463669.71549게임물제작업유통관련업8주택가주변모바일게임앱, 온라인게임 등206.062사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
253090000CDFF22410820170000022017-07-07<NA>3폐업3폐업2023-03-31<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *-*서울특별시 도봉구 마들로**가길 **, ***호 (창동, KING 프라자)1414지원2023-03-31 16:49:11U2022-12-04 00:02:00.0<NA>204247.213402461131.830917<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263090000CDFF224108201900000120190214<NA>3폐업3폐업20211220<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 ***-*서울특별시 도봉구 노해로**다길 **, 풍전베스트빌 B동 *층 ***호 (창동)1400피모뎁(feemodev)2021-12-21 14:37:31U2021-12-23 02:40:00.0<NA>203868.638465461479.469918게임물제작업유통관련업3<NA>PC,모바일,콘솔62.0<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>
273090000CDFF224108201900000220190110<NA>3폐업3폐업20211231<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-*서울특별시 도봉구 도당로**길 **, *층 (방학동)1350에스앤제이소프트2022-01-04 07:38:26U2022-01-06 02:40:00.0<NA>203554.790739462945.64743게임물제작업유통관련업<NA><NA>온라인게임105.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283090000CDFF224108202000000120200420<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 ***번지 도봉한양수자인 ***호서울특별시 도봉구 마들로 ***, ***호 (도봉동, 도봉한양수자인)1325손오공2020-04-20 13:24:54I2020-04-22 00:23:38.0<NA>204136.584478463573.10215게임물제작업유통관련업<NA><NA>소프트웨어 개발 및 공급21.33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293090000CDFF224108202200000120220731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 ***-* 경호주택서울특별시 도봉구 도봉로 ***-**, 나동 ***호 (창동, 경호주택)1426펀바이트 FUNBITE2022-07-31 09:09:09I2021-12-08 00:02:00.0<NA>203458.502547461493.494596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303090000CDFF224108202200000220220803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 *** 신동아상가서울특별시 도봉구 방학로 ***, 신동아상가 ***호 (방학동)1382아이이 코리아2022-08-03 08:58:58I2021-12-08 00:05:00.0<NA>202552.062932462071.049648<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313090000CDFF224108202200000320221213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 75-15서울특별시 도봉구 도봉로127길 26, B01호 (쌍문동)1436방구석스튜디오(COTRAS)2022-12-13 10:15:07I2021-11-01 23:05:00.0<NA>203123.379386461324.417228<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>