Overview

Dataset statistics

Number of variables56
Number of observations38
Missing cells1110
Missing cells (%)52.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory490.5 B

Variable types

Categorical15
Text9
DateTime3
Unsupported22
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16698/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
지상층수 is highly imbalanced (53.7%)Imbalance
지하층수 is highly imbalanced (53.8%)Imbalance
통로너비 is highly imbalanced (82.4%)Imbalance
조명시설조도 is highly imbalanced (82.4%)Imbalance
노래방실수 is highly imbalanced (82.4%)Imbalance
청소년실수 is highly imbalanced (82.4%)Imbalance
총게임기수 is highly imbalanced (82.4%)Imbalance
인허가취소일자 has 38 (100.0%) missing valuesMissing
폐업일자 has 31 (81.6%) missing valuesMissing
휴업시작일자 has 38 (100.0%) missing valuesMissing
휴업종료일자 has 38 (100.0%) missing valuesMissing
재개업일자 has 38 (100.0%) missing valuesMissing
전화번호 has 29 (76.3%) missing valuesMissing
소재지면적 has 38 (100.0%) missing valuesMissing
소재지우편번호 has 30 (78.9%) missing valuesMissing
도로명주소 has 4 (10.5%) missing valuesMissing
도로명우편번호 has 16 (42.1%) missing valuesMissing
업태구분명 has 38 (100.0%) missing valuesMissing
총층수 has 30 (78.9%) missing valuesMissing
주변환경명 has 37 (97.4%) missing valuesMissing
제작취급품목내용 has 9 (23.7%) missing valuesMissing
시설면적 has 16 (42.1%) missing valuesMissing
건물용도명 has 35 (92.1%) missing valuesMissing
비상계단여부 has 38 (100.0%) missing valuesMissing
비상구여부 has 38 (100.0%) missing valuesMissing
자동환기여부 has 38 (100.0%) missing valuesMissing
청소년실여부 has 38 (100.0%) missing valuesMissing
특수조명여부 has 38 (100.0%) missing valuesMissing
방음시설여부 has 38 (100.0%) missing valuesMissing
비디오재생기명 has 38 (100.0%) missing valuesMissing
조명시설유무 has 38 (100.0%) missing valuesMissing
음향시설여부 has 38 (100.0%) missing valuesMissing
편의시설여부 has 38 (100.0%) missing valuesMissing
소방시설여부 has 38 (100.0%) missing valuesMissing
기존게임업외업종명 has 38 (100.0%) missing valuesMissing
제공게임물명 has 38 (100.0%) missing valuesMissing
공연장형태구분명 has 38 (100.0%) missing valuesMissing
품목명 has 38 (100.0%) missing valuesMissing
최초등록시점 has 38 (100.0%) missing valuesMissing
지역구분명 has 37 (97.4%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 1 (2.6%) zerosZeros

Reproduction

Analysis started2024-04-06 12:03:35.277191
Analysis finished2024-04-06 12:03:36.367918
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
3070000
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 38
100.0%

Length

2024-04-06T21:03:36.490811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:36.676087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 38
100.0%

관리번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T21:03:36.962708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters760
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowCDFF2241082005000001
2nd rowCDFF2241082006000001
3rd rowCDFF2241082006000002
4th rowCDFF2241082007000002
5th rowCDFF2241082007000003
ValueCountFrequency (%)
cdff2241082005000001 1
 
2.6%
cdff2241082019000001 1
 
2.6%
cdff2241082024000003 1
 
2.6%
cdff2241082014000001 1
 
2.6%
cdff2241082014000002 1
 
2.6%
cdff2241082015000002 1
 
2.6%
cdff2241082017000001 1
 
2.6%
cdff2241082018000001 1
 
2.6%
cdff2241082018000004 1
 
2.6%
cdff2241082019000003 1
 
2.6%
Other values (28) 28
73.7%
2024-04-06T21:03:37.526278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 281
37.0%
2 137
18.0%
F 76
 
10.0%
1 76
 
10.0%
4 47
 
6.2%
8 44
 
5.8%
C 38
 
5.0%
D 38
 
5.0%
3 8
 
1.1%
9 5
 
0.7%
Other values (3) 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
80.0%
Uppercase Letter 152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 281
46.2%
2 137
22.5%
1 76
 
12.5%
4 47
 
7.7%
8 44
 
7.2%
3 8
 
1.3%
9 5
 
0.8%
7 4
 
0.7%
5 3
 
0.5%
6 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
80.0%
Latin 152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 281
46.2%
2 137
22.5%
1 76
 
12.5%
4 47
 
7.7%
8 44
 
7.2%
3 8
 
1.3%
9 5
 
0.8%
7 4
 
0.7%
5 3
 
0.5%
6 3
 
0.5%
Latin
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 281
37.0%
2 137
18.0%
F 76
 
10.0%
1 76
 
10.0%
4 47
 
6.2%
8 44
 
5.8%
C 38
 
5.0%
D 38
 
5.0%
3 8
 
1.1%
9 5
 
0.7%
Other values (3) 10
 
1.3%

인허가일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2005-05-16 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T21:03:37.786876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:38.001614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
31 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 31
81.6%
3 7
 
18.4%

Length

2024-04-06T21:03:38.220639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:38.407393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
81.6%
3 7
 
18.4%

영업상태명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업/정상
31 
폐업
7 

Length

Max length5
Median length5
Mean length4.4473684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 31
81.6%
폐업 7
 
18.4%

Length

2024-04-06T21:03:38.592913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:38.771543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
81.6%
폐업 7
 
18.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
13
31 
3
7 

Length

Max length2
Median length2
Mean length1.8157895
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 31
81.6%
3 7
 
18.4%

Length

2024-04-06T21:03:39.010508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:39.200193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 31
81.6%
3 7
 
18.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업중
31 
폐업
7 

Length

Max length3
Median length3
Mean length2.8157895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 31
81.6%
폐업 7
 
18.4%

Length

2024-04-06T21:03:39.405484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:39.601973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 31
81.6%
폐업 7
 
18.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing31
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean20126399
Minimum20080310
Maximum20200414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:39.772091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080310
5-th percentile20080427
Q120085963
median20100511
Q320165818
95-th percentile20197474
Maximum20200414
Range120104
Interquartile range (IQR)79854.5

Descriptive statistics

Standard deviation51535.412
Coefficient of variation (CV)0.0025605878
Kurtosis-1.5686641
Mean20126399
Median Absolute Deviation (MAD)20201
Skewness0.71455815
Sum1.408848 × 108
Variance2.6558987 × 109
MonotonicityNot monotonic
2024-04-06T21:03:39.996197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20080701 1
 
2.6%
20080310 1
 
2.6%
20100511 1
 
2.6%
20091225 1
 
2.6%
20141022 1
 
2.6%
20190613 1
 
2.6%
20200414 1
 
2.6%
(Missing) 31
81.6%
ValueCountFrequency (%)
20080310 1
2.6%
20080701 1
2.6%
20091225 1
2.6%
20100511 1
2.6%
20141022 1
2.6%
20190613 1
2.6%
20200414 1
2.6%
ValueCountFrequency (%)
20200414 1
2.6%
20190613 1
2.6%
20141022 1
2.6%
20100511 1
2.6%
20091225 1
2.6%
20080701 1
2.6%
20080310 1
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing29
Missing (%)76.3%
Memory size436.0 B
2024-04-06T21:03:40.275655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.666667
Min length8

Characters and Unicode

Total characters96
Distinct characters12
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

Unique9 ?
Unique (%)100.0%

Sample

1st row963-0358
2nd row960-5005
3rd row02-884-1014
4th row02-865-3579
5th row02)597-8478
ValueCountFrequency (%)
963-0358 1
11.1%
960-5005 1
11.1%
02-884-1014 1
11.1%
02-865-3579 1
11.1%
02)597-8478 1
11.1%
070-7503-4855 1
11.1%
02-6232-0647 1
11.1%
070-7724-7747 1
11.1%
025553898 1
11.1%
2024-04-06T21:03:40.949433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
16.7%
- 13
13.5%
5 12
12.5%
7 12
12.5%
8 9
9.4%
2 8
8.3%
4 7
7.3%
3 6
 
6.2%
9 5
 
5.2%
6 5
 
5.2%
Other values (2) 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82
85.4%
Dash Punctuation 13
 
13.5%
Close Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
19.5%
5 12
14.6%
7 12
14.6%
8 9
11.0%
2 8
9.8%
4 7
8.5%
3 6
 
7.3%
9 5
 
6.1%
6 5
 
6.1%
1 2
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
16.7%
- 13
13.5%
5 12
12.5%
7 12
12.5%
8 9
9.4%
2 8
8.3%
4 7
7.3%
3 6
 
6.2%
9 5
 
5.2%
6 5
 
5.2%
Other values (2) 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
16.7%
- 13
13.5%
5 12
12.5%
7 12
12.5%
8 9
9.4%
2 8
8.3%
4 7
7.3%
3 6
 
6.2%
9 5
 
5.2%
6 5
 
5.2%
Other values (2) 3
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing30
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean136256.75
Minimum136034
Maximum136837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:41.148613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136034
5-th percentile136037.85
Q1136052.5
median136067.5
Q3136297
95-th percentile136833.85
Maximum136837
Range803
Interquartile range (IQR)244.5

Descriptive statistics

Standard deviation356.29432
Coefficient of variation (CV)0.0026148746
Kurtosis-0.029685425
Mean136256.75
Median Absolute Deviation (MAD)28
Skewness1.4185376
Sum1090054
Variance126945.64
MonotonicityNot monotonic
2024-04-06T21:03:41.354779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
136075 1
 
2.6%
136055 1
 
2.6%
136034 1
 
2.6%
136060 1
 
2.6%
136828 1
 
2.6%
136837 1
 
2.6%
136045 1
 
2.6%
136120 1
 
2.6%
(Missing) 30
78.9%
ValueCountFrequency (%)
136034 1
2.6%
136045 1
2.6%
136055 1
2.6%
136060 1
2.6%
136075 1
2.6%
136120 1
2.6%
136828 1
2.6%
136837 1
2.6%
ValueCountFrequency (%)
136837 1
2.6%
136828 1
2.6%
136120 1
2.6%
136075 1
2.6%
136060 1
2.6%
136055 1
2.6%
136045 1
2.6%
136034 1
2.6%

지번주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T21:03:41.869900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length28.868421
Min length20

Characters and Unicode

Total characters1097
Distinct characters95
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

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 성북구 석관동 ***-**번지
2nd row서울특별시 성북구 안암동*가 ***-*번지 노산빌딩***
3rd row서울특별시 성북구 동선동*가 **-*번지
4th row서울특별시 성북구 동소문동*가 ***-****번지 백호빌딩 ***호
5th row서울특별시 성북구 돈암동 **-*번지 A상가동 비**호
ValueCountFrequency (%)
성북구 39
20.1%
서울특별시 38
19.6%
번지 27
13.9%
11
 
5.7%
호 10
 
5.2%
장위동 7
 
3.6%
돈암동 7
 
3.6%
안암동*가 4
 
2.1%
동 4
 
2.1%
하월곡동 4
 
2.1%
Other values (31) 43
22.2%
2024-04-06T21:03:42.883060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 227
20.7%
183
16.7%
동 49
 
4.5%
성 43
 
3.9%
북 40
 
3.6%
구 39
 
3.6%
서 38
 
3.5%
울 38
 
3.5%
시 38
 
3.5%
별 38
 
3.5%
Other values (85) 364
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 642
58.5%
Other Punctuation 227
 
20.7%
Space Separator 183
 
16.7%
Dash Punctuation 34
 
3.1%
Uppercase Letter 7
 
0.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
7.6%
성 43
 
6.7%
북 40
 
6.2%
구 39
 
6.1%
서 38
 
5.9%
울 38
 
5.9%
시 38
 
5.9%
별 38
 
5.9%
특 38
 
5.9%
지 29
 
4.5%
Other values (74) 252
39.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
K 1
14.3%
S 1
14.3%
I 1
14.3%
T 1
14.3%
H 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 227
100.0%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 642
58.5%
Common 448
40.8%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
7.6%
성 43
 
6.7%
북 40
 
6.2%
구 39
 
6.1%
서 38
 
5.9%
울 38
 
5.9%
시 38
 
5.9%
별 38
 
5.9%
특 38
 
5.9%
지 29
 
4.5%
Other values (74) 252
39.3%
Latin
ValueCountFrequency (%)
A 2
28.6%
K 1
14.3%
S 1
14.3%
I 1
14.3%
T 1
14.3%
H 1
14.3%
Common
ValueCountFrequency (%)
* 227
50.7%
183
40.8%
- 34
 
7.6%
) 2
 
0.4%
( 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 642
58.5%
ASCII 455
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 227
49.9%
183
40.2%
- 34
 
7.5%
) 2
 
0.4%
( 2
 
0.4%
A 2
 
0.4%
K 1
 
0.2%
S 1
 
0.2%
I 1
 
0.2%
T 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 49
 
7.6%
성 43
 
6.7%
북 40
 
6.2%
구 39
 
6.1%
서 38
 
5.9%
울 38
 
5.9%
시 38
 
5.9%
별 38
 
5.9%
특 38
 
5.9%
지 29
 
4.5%
Other values (74) 252
39.3%

도로명주소
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing4
Missing (%)10.5%
Memory size436.0 B
2024-04-06T21:03:43.310981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length36.794118
Min length26

Characters and Unicode

Total characters1251
Distinct characters108
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 (%)94.1%

Sample

1st row서울특별시 성북구 한천로**다길 ** (석관동)
2nd row서울특별시 성북구 안암로 ** (안암동*가,노산빌딩***)
3rd row서울특별시 성북구 동소문로**길 ** (동선동*가)
4th row서울특별시 성북구 동소문로**길 **, A상가동 비**호 (돈암동)
5th row서울특별시 성북구 화랑로 *** (장위동,성북구 벤처창업지원센터 ***호)
ValueCountFrequency (%)
서울특별시 34
15.5%
34
15.5%
성북구 34
15.5%
호 14
 
6.4%
동 8
 
3.6%
돈암동 7
 
3.2%
층 6
 
2.7%
장위동 5
 
2.3%
화랑로 5
 
2.3%
삼선동*가 4
 
1.8%
Other values (53) 69
31.4%
2024-04-06T21:03:43.951412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 235
18.8%
197
 
15.7%
동 51
 
4.1%
성 43
 
3.4%
북 39
 
3.1%
( 36
 
2.9%
) 36
 
2.9%
구 35
 
2.8%
서 34
 
2.7%
특 34
 
2.7%
Other values (98) 511
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
55.5%
Other Punctuation 269
 
21.5%
Space Separator 197
 
15.7%
Open Punctuation 36
 
2.9%
Close Punctuation 36
 
2.9%
Uppercase Letter 10
 
0.8%
Dash Punctuation 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
7.3%
성 43
 
6.2%
북 39
 
5.6%
구 35
 
5.0%
서 34
 
4.9%
특 34
 
4.9%
별 34
 
4.9%
시 34
 
4.9%
로 34
 
4.9%
울 34
 
4.9%
Other values (85) 322
46.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
B 2
20.0%
H 1
 
10.0%
K 1
 
10.0%
I 1
 
10.0%
S 1
 
10.0%
T 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 235
87.4%
, 34
 
12.6%
Space Separator
ValueCountFrequency (%)
197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
55.5%
Common 547
43.7%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
7.3%
성 43
 
6.2%
북 39
 
5.6%
구 35
 
5.0%
서 34
 
4.9%
특 34
 
4.9%
별 34
 
4.9%
시 34
 
4.9%
로 34
 
4.9%
울 34
 
4.9%
Other values (85) 322
46.4%
Latin
ValueCountFrequency (%)
A 3
30.0%
B 2
20.0%
H 1
 
10.0%
K 1
 
10.0%
I 1
 
10.0%
S 1
 
10.0%
T 1
 
10.0%
Common
ValueCountFrequency (%)
* 235
43.0%
197
36.0%
( 36
 
6.6%
) 36
 
6.6%
, 34
 
6.2%
- 9
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
55.5%
ASCII 557
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 235
42.2%
197
35.4%
( 36
 
6.5%
) 36
 
6.5%
, 34
 
6.1%
- 9
 
1.6%
A 3
 
0.5%
B 2
 
0.4%
H 1
 
0.2%
K 1
 
0.2%
Other values (3) 3
 
0.5%
Hangul
ValueCountFrequency (%)
동 51
 
7.3%
성 43
 
6.2%
북 39
 
5.6%
구 35
 
5.0%
서 34
 
4.9%
특 34
 
4.9%
별 34
 
4.9%
시 34
 
4.9%
로 34
 
4.9%
울 34
 
4.9%
Other values (85) 322
46.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing16
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean2791.2273
Minimum2710
Maximum2876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:44.185322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2710
5-th percentile2717
Q12751.25
median2779.5
Q32831
95-th percentile2875.3
Maximum2876
Range166
Interquartile range (IQR)79.75

Descriptive statistics

Standard deviation54.437322
Coefficient of variation (CV)0.019503006
Kurtosis-1.3572098
Mean2791.2273
Median Absolute Deviation (MAD)51.5
Skewness0.099403175
Sum61407
Variance2963.4221
MonotonicityNot monotonic
2024-04-06T21:03:44.407108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2831 3
 
7.9%
2876 2
 
5.3%
2717 2
 
5.3%
2751 2
 
5.3%
2807 1
 
2.6%
2855 1
 
2.6%
2827 1
 
2.6%
2772 1
 
2.6%
2710 1
 
2.6%
2781 1
 
2.6%
Other values (7) 7
18.4%
(Missing) 16
42.1%
ValueCountFrequency (%)
2710 1
2.6%
2717 2
5.3%
2727 1
2.6%
2751 2
5.3%
2752 1
2.6%
2754 1
2.6%
2757 1
2.6%
2772 1
2.6%
2778 1
2.6%
2781 1
2.6%
ValueCountFrequency (%)
2876 2
5.3%
2862 1
 
2.6%
2855 1
 
2.6%
2844 1
 
2.6%
2831 3
7.9%
2827 1
 
2.6%
2807 1
 
2.6%
2781 1
 
2.6%
2778 1
 
2.6%
2772 1
 
2.6%

사업장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T21:03:44.857283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length7.7631579
Min length2

Characters and Unicode

Total characters295
Distinct characters129
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

Unique38 ?
Unique (%)100.0%

Sample

1st row에이엔피코리아
2nd row플퍼스소프트
3rd row크레이지다이아몬드
4th row판게아
5th row지오소프트
ValueCountFrequency (%)
주식회사 3
 
5.7%
에이엔피코리아 1
 
1.9%
blue 1
 
1.9%
삭제함 1
 
1.9%
금화 1
 
1.9%
아라게임즈 1
 
1.9%
앱티스트 1
 
1.9%
주)비전웍스 1
 
1.9%
굿럭샵 1
 
1.9%
엑세스 1
 
1.9%
Other values (41) 41
77.4%
2024-04-06T21:03:45.727659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.1%
이 15
 
5.1%
) 12
 
4.1%
( 12
 
4.1%
주 11
 
3.7%
트 11
 
3.7%
스 7
 
2.4%
아 6
 
2.0%
리 6
 
2.0%
소 6
 
2.0%
Other values (119) 194
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
74.2%
Uppercase Letter 20
 
6.8%
Space Separator 15
 
5.1%
Lowercase Letter 14
 
4.7%
Close Punctuation 12
 
4.1%
Open Punctuation 12
 
4.1%
Other Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 15
 
6.8%
주 11
 
5.0%
트 11
 
5.0%
스 7
 
3.2%
아 6
 
2.7%
리 6
 
2.7%
소 6
 
2.7%
프 5
 
2.3%
지 5
 
2.3%
엔 5
 
2.3%
Other values (90) 142
64.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
15.0%
E 3
15.0%
B 2
10.0%
R 2
10.0%
W 1
 
5.0%
T 1
 
5.0%
C 1
 
5.0%
S 1
 
5.0%
X 1
 
5.0%
G 1
 
5.0%
Other values (4) 4
20.0%
Lowercase Letter
ValueCountFrequency (%)
r 3
21.4%
e 2
14.3%
k 2
14.3%
t 1
 
7.1%
b 1
 
7.1%
a 1
 
7.1%
u 1
 
7.1%
l 1
 
7.1%
n 1
 
7.1%
i 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
74.2%
Common 42
 
14.2%
Latin 34
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 15
 
6.8%
주 11
 
5.0%
트 11
 
5.0%
스 7
 
3.2%
아 6
 
2.7%
리 6
 
2.7%
소 6
 
2.7%
프 5
 
2.3%
지 5
 
2.3%
엔 5
 
2.3%
Other values (90) 142
64.8%
Latin
ValueCountFrequency (%)
A 3
 
8.8%
E 3
 
8.8%
r 3
 
8.8%
e 2
 
5.9%
B 2
 
5.9%
R 2
 
5.9%
k 2
 
5.9%
t 1
 
2.9%
b 1
 
2.9%
a 1
 
2.9%
Other values (14) 14
41.2%
Common
ValueCountFrequency (%)
15
35.7%
) 12
28.6%
( 12
28.6%
. 2
 
4.8%
& 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
74.2%
ASCII 76
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
19.7%
) 12
15.8%
( 12
15.8%
A 3
 
3.9%
E 3
 
3.9%
r 3
 
3.9%
e 2
 
2.6%
B 2
 
2.6%
. 2
 
2.6%
R 2
 
2.6%
Other values (19) 20
26.3%
Hangul
ValueCountFrequency (%)
이 15
 
6.8%
주 11
 
5.0%
트 11
 
5.0%
스 7
 
3.2%
아 6
 
2.7%
리 6
 
2.7%
소 6
 
2.7%
프 5
 
2.3%
지 5
 
2.3%
엔 5
 
2.3%
Other values (90) 142
64.8%

최종수정일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2006-04-14 11:09:11
Maximum2024-04-03 17:53:54
2024-04-06T21:03:45.999355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:46.395929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
I
31 
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 31
81.6%
U 7
 
18.4%

Length

2024-04-06T21:03:46.721385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:46.979037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
81.6%
u 7
 
18.4%

데이터갱신일자
Date

Distinct13
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:03:47.144537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:03:47.361935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

좌표정보(X)
Real number (ℝ)

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202564.08
Minimum200829.49
Maximum205694.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:47.790515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200829.49
5-th percentile200836.17
Q1201007.35
median202309.62
Q3203906.89
95-th percentile205193.88
Maximum205694.11
Range4864.6123
Interquartile range (IQR)2899.5365

Descriptive statistics

Standard deviation1559.8341
Coefficient of variation (CV)0.0077004476
Kurtosis-1.0774498
Mean202564.08
Median Absolute Deviation (MAD)1412.8061
Skewness0.47047615
Sum7697435
Variance2433082.4
MonotonicityNot monotonic
2024-04-06T21:03:48.175060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
200841.726990037 3
 
7.9%
204629.736121071 3
 
7.9%
200836.169860288 2
 
5.3%
201989.271689499 2
 
5.3%
200928.748689407 2
 
5.3%
201255.528885876 1
 
2.6%
203502.004139568 1
 
2.6%
200829.494419617 1
 
2.6%
203934.360214315 1
 
2.6%
202363.57347174 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
200829.494419617 1
 
2.6%
200836.169860288 2
5.3%
200841.726990037 3
7.9%
200854.984440466 1
 
2.6%
200928.748689407 2
5.3%
200955.86180712 1
 
2.6%
201161.821481495 1
 
2.6%
201186.086155269 1
 
2.6%
201255.528885876 1
 
2.6%
201387.604754791 1
 
2.6%
ValueCountFrequency (%)
205694.106735866 1
 
2.6%
205645.892205921 1
 
2.6%
205114.109800924 1
 
2.6%
204629.736121071 3
7.9%
204268.741908141 1
 
2.6%
204079.994702647 1
 
2.6%
204015.327618916 1
 
2.6%
203934.360214315 1
 
2.6%
203824.472239696 1
 
2.6%
203754.360913034 1
 
2.6%

좌표정보(Y)
Real number (ℝ)

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455276.46
Minimum453156.23
Maximum457579.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:48.366030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453156.23
5-th percentile453334.67
Q1454381.95
median455263.47
Q3456341.36
95-th percentile457094.39
Maximum457579.22
Range4422.99
Interquartile range (IQR)1959.4066

Descriptive statistics

Standard deviation1263.5012
Coefficient of variation (CV)0.0027752395
Kurtosis-1.0808597
Mean455276.46
Median Absolute Deviation (MAD)1077.8845
Skewness-0.096992354
Sum17300505
Variance1596435.3
MonotonicityNot monotonic
2024-04-06T21:03:48.688624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
454721.505180141 3
 
7.9%
456341.359410406 3
 
7.9%
453384.726106159 2
 
5.3%
455190.095862939 2
 
5.3%
456366.565498157 2
 
5.3%
455247.689674409 1
 
2.6%
455500.568972657 1
 
2.6%
456042.862481308 1
 
2.6%
455417.925754463 1
 
2.6%
456453.529194786 1
 
2.6%
Other values (21) 21
55.3%
ValueCountFrequency (%)
453156.226397094 1
2.6%
453273.131287687 1
2.6%
453345.532133219 1
2.6%
453384.726106159 2
5.3%
453550.177144001 1
2.6%
453925.42324754 1
2.6%
453960.297024172 1
2.6%
454049.551940162 1
2.6%
454358.236738995 1
2.6%
454453.100879544 1
2.6%
ValueCountFrequency (%)
457579.21641655 1
 
2.6%
457277.615888228 1
 
2.6%
457062.052350024 1
 
2.6%
456839.854948869 1
 
2.6%
456774.780609136 1
 
2.6%
456750.614351282 1
 
2.6%
456453.529194786 1
 
2.6%
456366.565498157 2
5.3%
456341.359410406 3
7.9%
456073.655437397 1
 
2.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
게임물제작업
30 
<NA>
8 

Length

Max length6
Median length6
Mean length5.5789474
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 30
78.9%
<NA> 8
 
21.1%

Length

2024-04-06T21:03:48.929519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:49.165490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 30
78.9%
na 8
 
21.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
유통관련업
30 
<NA>
8 

Length

Max length5
Median length5
Mean length4.7894737
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 30
78.9%
<NA> 8
 
21.1%

Length

2024-04-06T21:03:49.393403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:49.600134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 30
78.9%
na 8
 
21.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)75.0%
Missing30
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean4.125
Minimum0
Maximum8
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:49.760593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.05
Q13
median4
Q35.25
95-th percentile7.3
Maximum8
Range8
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.3566017
Coefficient of variation (CV)0.57129737
Kurtosis1.0045388
Mean4.125
Median Absolute Deviation (MAD)1
Skewness-0.11051938
Sum33
Variance5.5535714
MonotonicityNot monotonic
2024-04-06T21:03:50.026189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2
 
5.3%
4 2
 
5.3%
8 1
 
2.6%
6 1
 
2.6%
5 1
 
2.6%
0 1
 
2.6%
(Missing) 30
78.9%
ValueCountFrequency (%)
0 1
2.6%
3 2
5.3%
4 2
5.3%
5 1
2.6%
6 1
2.6%
8 1
2.6%
ValueCountFrequency (%)
8 1
2.6%
6 1
2.6%
5 1
2.6%
4 2
5.3%
3 2
5.3%
0 1
2.6%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2024-04-06T21:03:50.308976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-06T21:03:50.754725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct18
Distinct (%)62.1%
Missing9
Missing (%)23.7%
Memory size436.0 B
2024-04-06T21:03:51.059831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length7.5517241
Min length3

Characters and Unicode

Total characters219
Distinct characters64
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

Unique17 ?
Unique (%)58.6%

Sample

1st row게임물
2nd row컴퓨터게임물및 온라인
3rd row게임제작
4th row게임제작업
5th row보드게임
ValueCountFrequency (%)
게임물 12
28.6%
모바일 4
 
9.5%
게임 2
 
4.8%
등 2
 
4.8%
온라인 2
 
4.8%
모바일게임 2
 
4.8%
게임자판기 1
 
2.4%
온라인게임 1
 
2.4%
게임(모바일.pc.온라인 1
 
2.4%
비디오게임 1
 
2.4%
Other values (14) 14
33.3%
2024-04-06T21:03:51.633425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 28
 
12.8%
임 28
 
12.8%
물 13
 
5.9%
13
 
5.9%
, 9
 
4.1%
일 9
 
4.1%
바 9
 
4.1%
모 9
 
4.1%
라 6
 
2.7%
온 6
 
2.7%
Other values (54) 89
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
80.8%
Space Separator 13
 
5.9%
Other Punctuation 12
 
5.5%
Uppercase Letter 11
 
5.0%
Close Punctuation 2
 
0.9%
Open Punctuation 2
 
0.9%
Lowercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 28
15.8%
임 28
15.8%
물 13
 
7.3%
일 9
 
5.1%
바 9
 
5.1%
모 9
 
5.1%
라 6
 
3.4%
온 6
 
3.4%
인 6
 
3.4%
트 4
 
2.3%
Other values (40) 59
33.3%
Uppercase Letter
ValueCountFrequency (%)
P 3
27.3%
R 3
27.3%
C 2
18.2%
V 1
 
9.1%
G 1
 
9.1%
A 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
. 2
 
16.7%
/ 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
80.8%
Common 29
 
13.2%
Latin 13
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 28
15.8%
임 28
15.8%
물 13
 
7.3%
일 9
 
5.1%
바 9
 
5.1%
모 9
 
5.1%
라 6
 
3.4%
온 6
 
3.4%
인 6
 
3.4%
트 4
 
2.3%
Other values (40) 59
33.3%
Latin
ValueCountFrequency (%)
P 3
23.1%
R 3
23.1%
C 2
15.4%
c 1
 
7.7%
V 1
 
7.7%
p 1
 
7.7%
G 1
 
7.7%
A 1
 
7.7%
Common
ValueCountFrequency (%)
13
44.8%
, 9
31.0%
) 2
 
6.9%
. 2
 
6.9%
( 2
 
6.9%
/ 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
80.8%
ASCII 42
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 28
15.8%
임 28
15.8%
물 13
 
7.3%
일 9
 
5.1%
바 9
 
5.1%
모 9
 
5.1%
라 6
 
3.4%
온 6
 
3.4%
인 6
 
3.4%
트 4
 
2.3%
Other values (40) 59
33.3%
ASCII
ValueCountFrequency (%)
13
31.0%
, 9
21.4%
P 3
 
7.1%
R 3
 
7.1%
) 2
 
4.8%
. 2
 
4.8%
C 2
 
4.8%
( 2
 
4.8%
c 1
 
2.4%
/ 1
 
2.4%
Other values (4) 4
 
9.5%

시설면적
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing16
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean59.206818
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T21:03:51.844142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.3135
Q124.75
median56.955
Q377.155
95-th percentile159.8545
Maximum165
Range164
Interquartile range (IQR)52.405

Descriptive statistics

Standard deviation43.414496
Coefficient of variation (CV)0.73326852
Kurtosis1.432063
Mean59.206818
Median Absolute Deviation (MAD)25.92
Skewness1.1368006
Sum1302.55
Variance1884.8185
MonotonicityNot monotonic
2024-04-06T21:03:52.054088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
70.0 2
 
5.3%
1.0 1
 
2.6%
163.12 1
 
2.6%
8.0 1
 
2.6%
20.26 1
 
2.6%
22.0 1
 
2.6%
59.97 1
 
2.6%
54.51 1
 
2.6%
97.81 1
 
2.6%
48.0 1
 
2.6%
Other values (11) 11
28.9%
(Missing) 16
42.1%
ValueCountFrequency (%)
1.0 1
2.6%
8.0 1
2.6%
14.27 1
2.6%
18.45 1
2.6%
20.26 1
2.6%
22.0 1
2.6%
33.0 1
2.6%
38.0 1
2.6%
44.51 1
2.6%
48.0 1
2.6%
ValueCountFrequency (%)
165.0 1
2.6%
163.12 1
2.6%
97.81 1
2.6%
84.87 1
2.6%
84.84 1
2.6%
79.54 1
2.6%
70.0 2
5.3%
66.0 1
2.6%
59.97 1
2.6%
59.4 1
2.6%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
30 
3
 
3
5
 
2
2
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.3684211
Min length1

Unique

Unique3 ?
Unique (%)7.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
78.9%
3 3
 
7.9%
5 2
 
5.3%
2 1
 
2.6%
7 1
 
2.6%
0 1
 
2.6%

Length

2024-04-06T21:03:52.275401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:52.496272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
78.9%
3 3
 
7.9%
5 2
 
5.3%
2 1
 
2.6%
7 1
 
2.6%
0 1
 
2.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
32 
1
5 
0
 
1

Length

Max length4
Median length4
Mean length3.5263158
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
84.2%
1 5
 
13.2%
0 1
 
2.6%

Length

2024-04-06T21:03:52.727255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:52.969539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
84.2%
1 5
 
13.2%
0 1
 
2.6%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing35
Missing (%)92.1%
Memory size436.0 B
2024-04-06T21:03:53.179872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3333333
Min length3

Characters and Unicode

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

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row사무실
2nd row근린생활시설
3rd row단독주택
ValueCountFrequency (%)
사무실 1
33.3%
근린생활시설 1
33.3%
단독주택 1
33.3%
2024-04-06T21:03:53.613996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1
 
7.7%
무 1
 
7.7%
실 1
 
7.7%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
단 1
 
7.7%
Other values (3) 3
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1
 
7.7%
무 1
 
7.7%
실 1
 
7.7%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
단 1
 
7.7%
Other values (3) 3
23.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1
 
7.7%
무 1
 
7.7%
실 1
 
7.7%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
단 1
 
7.7%
Other values (3) 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1
 
7.7%
무 1
 
7.7%
실 1
 
7.7%
근 1
 
7.7%
린 1
 
7.7%
생 1
 
7.7%
활 1
 
7.7%
시 1
 
7.7%
설 1
 
7.7%
단 1
 
7.7%
Other values (3) 3
23.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-06T21:03:53.828542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:54.004590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-06T21:03:54.185784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:54.359416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-06T21:03:54.523544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:54.680244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-06T21:03:54.855850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:55.049782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-06T21:03:55.246558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:03:55.427283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size436.0 B
2024-04-06T21:03:55.606904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반주거지역
ValueCountFrequency (%)
일반주거지역 1
100.0%
2024-04-06T21:03:56.015968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF224108200500000120050516<NA>1영업/정상13영업중<NA><NA><NA><NA>963-0358<NA><NA>서울특별시 성북구 석관동 ***-**번지서울특별시 성북구 한천로**다길 ** (석관동)2781에이엔피코리아2012-03-22 16:34:05I2018-08-31 23:59:59.0<NA>205694.106736456750.614351게임물제작업유통관련업<NA><NA>게임물70.0<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>
13070000CDFF224108200600000120060414<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136075서울특별시 성북구 안암동*가 ***-*번지 노산빌딩***서울특별시 성북구 안암로 ** (안암동*가,노산빌딩***)<NA>플퍼스소프트2006-04-14 11:09:11I2018-08-31 23:59:59.0<NA>202375.452279453273.131288게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000CDFF224108200600000220060621<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136055서울특별시 성북구 동선동*가 **-*번지서울특별시 성북구 동소문로**길 ** (동선동*가)<NA>크레이지다이아몬드2006-06-21 17:18:22I2018-08-31 23:59:59.0<NA>201387.604755454799.24699게임물제작업유통관련업<NA>기타컴퓨터게임물및 온라인<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
33070000CDFF224108200700000220070118<NA>3폐업3폐업20080701<NA><NA><NA><NA><NA>136034서울특별시 성북구 동소문동*가 ***-****번지 백호빌딩 ***호<NA><NA>판게아2008-07-01 14:18:59I2018-08-31 23:59:59.0<NA>200955.861807454578.88199게임물제작업유통관련업<NA><NA>게임제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFF224108200700000320070222<NA>3폐업3폐업20080310<NA><NA><NA><NA><NA>136060서울특별시 성북구 돈암동 **-*번지 A상가동 비**호서울특별시 성북구 동소문로**길 **, A상가동 비**호 (돈암동)<NA>지오소프트2008-03-10 21:58:44I2018-08-31 23:59:59.0<NA>201989.271689455190.095863게임물제작업유통관련업<NA><NA>게임제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFF224108200700000420070419<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136828서울특별시 성북구 장위동 **-***번지 성북구 벤처창업지원센터 ***호서울특별시 성북구 화랑로 *** (장위동,성북구 벤처창업지원센터 ***호)<NA>V&GB2007-04-19 20:18:53I2018-08-31 23:59:59.0<NA>204629.736121456341.35941게임물제작업유통관련업<NA><NA>보드게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFF224108200800000220080331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136837서울특별시 성북구 장위동 ***-***번지서울특별시 성북구 장위로**길 **-** (장위동)<NA>대성전자2008-03-31 17:30:14I2018-08-31 23:59:59.0<NA>204015.327619456774.780609게임물제작업유통관련업<NA><NA>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>
73070000CDFF224108200800000320080829<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 ***번지 꿈의숲대명루첸아파트 ***동 ****호서울특별시 성북구 월계로**길 **, ***동 ****호 (장위동, 꿈의숲대명루첸아파트)2757소울 메이트2016-04-21 13:04:15I2018-08-31 23:59:59.0<NA>204079.994703457579.216417게임물제작업유통관련업<NA><NA>게임물84.84<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFF224108200800000520081216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136045서울특별시 성북구 삼선동*가 **-*번지서울특별시 성북구 보문로**길 ** (삼선동*가)<NA>B.M.KOREA (비엠코리아)2008-12-16 16:40:34I2018-08-31 23:59:59.0<NA>201186.086155453925.423248게임물제작업유통관련업3<NA>게임물<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFF224108200800000620080215<NA>3폐업3폐업20100511<NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동*가 ***-**번지 *층서울특별시 성북구 안암로 **-* (안암동*가,*층)<NA>(주)디지쌈엔터테인먼트2010-05-11 17:51:53I2018-08-31 23:59:59.0<NA>202443.579565453345.532133게임물제작업유통관련업<NA><NA>게임물1.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
283070000CDFF224108201900000220170518<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 *** 한성대학교서울특별시 성북구 삼선교로**길 ***, 한성대학교 ***동 ****호 (삼선동*가)2876(주)판타게이트2020-11-09 09:34:23U2020-11-11 02:40:00.0<NA>200836.16986453384.726106게임물제작업유통관련업<NA><NA>게임(모바일.pc.온라인)22.0<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>
293070000CDFF224108201900000320190918<NA>3폐업3폐업20200414<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-*번지서울특별시 성북구 보국문로 **-*, 지층 (정릉동)2710남성2020-04-14 15:54:10U2020-04-16 02:40:00.0<NA>200829.49442456042.862481게임물제작업유통관련업<NA><NA>모바일, 온라인게임20.26<NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303070000CDFF224108202000000120111123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 **-** 코업스타클래스서울특별시 성북구 화랑로 **, 코업스타클래스 ***동 ****호 (하월곡동)2751엔진2022-07-29 13:35:20U2021-12-06 21:01:00.0<NA>203502.00414455500.568973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313070000CDFF224108202100000120210929<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 **-*** 성북벤처창업지원센터서울특별시 성북구 화랑로 ***, 성북벤처창업지원센터 B***호 (장위동)2772(주)에이아이씨엔2021-09-29 11:39:45I2021-10-01 00:22:48.0<NA>204629.736121456341.35941게임물제작업유통관련업0<NA>모바일,온라인,VR/AR게임8.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
323070000CDFF224108202200000120221109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-**서울특별시 성북구 아리랑로**길 **-*, ***호 (돈암동)2827제이엠 케이테크2022-11-09 11:37:10I2021-10-31 23:01:00.0<NA>201255.528886455247.689674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333070000CDFF22410820230000012023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동*가 ***-**서울특별시 성북구 고려대로**길 *-*, ***B호 (안암동*가)2855Arrkka2023-11-01 16:13:41I2022-11-01 00:04:00.0<NA>202255.675662453550.177144<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343070000CDFF22410820240000012012-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 **-* 돈암동 삼성아파트서울특별시 성북구 동소문로**길 **, ***동 ****호 (돈암동, 돈암동 삼성아파트)2807체리츠2024-01-23 18:18:22I2023-11-30 22:05:00.0<NA>201989.271689455190.095863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353070000CDFF22410820240000022024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-* 한신한진아파트 ***동 ***호서울특별시 성북구 성북로*길 **, ***동 ***호 (돈암동, 한신한진아파트)2831꿈꾸는 고양이2024-03-21 16:38:57I2023-12-02 22:03:00.0<NA>200841.72699454721.50518<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363070000CDFF22410820240000032024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-* 한신한진아파트서울특별시 성북구 성북로*길 **, ***동 ***호 (돈암동, 한신한진아파트)2831꿈꾸는고양이 (이중입력으로 삭제함)2024-03-22 14:35:55I2023-12-02 22:04:00.0<NA>200841.72699454721.50518<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373070000CDFF22410820240000042024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 *** 한성대학교서울특별시 성북구 삼선교로**길 ***, 한성대학교 A동 ***호 (삼선동*가)2876오마쥬 파파2024-04-03 17:53:54I2023-12-04 00:06:00.0<NA>200836.16986453384.726106<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>