Overview

Dataset statistics

Number of variables56
Number of observations36
Missing cells941
Missing cells (%)46.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory489.7 B

Variable types

Categorical18
Text9
DateTime4
Unsupported21
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16699/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (69.0%)Imbalance
소재지우편번호 is highly imbalanced (63.5%)Imbalance
총층수 is highly imbalanced (77.0%)Imbalance
지상층수 is highly imbalanced (59.1%)Imbalance
지하층수 is highly imbalanced (81.7%)Imbalance
통로너비 is highly imbalanced (81.7%)Imbalance
조명시설조도 is highly imbalanced (81.7%)Imbalance
노래방실수 is highly imbalanced (81.7%)Imbalance
청소년실수 is highly imbalanced (81.7%)Imbalance
총게임기수 is highly imbalanced (81.7%)Imbalance
폐업일자 has 23 (63.9%) missing valuesMissing
휴업시작일자 has 36 (100.0%) missing valuesMissing
휴업종료일자 has 36 (100.0%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
전화번호 has 29 (80.6%) missing valuesMissing
소재지면적 has 36 (100.0%) missing valuesMissing
지번주소 has 1 (2.8%) missing valuesMissing
도로명주소 has 1 (2.8%) missing valuesMissing
도로명우편번호 has 14 (38.9%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
주변환경명 has 35 (97.2%) missing valuesMissing
제작취급품목내용 has 4 (11.1%) missing valuesMissing
시설면적 has 8 (22.2%) missing valuesMissing
건물용도명 has 35 (97.2%) missing valuesMissing
비상계단여부 has 36 (100.0%) missing valuesMissing
비상구여부 has 36 (100.0%) missing valuesMissing
자동환기여부 has 36 (100.0%) missing valuesMissing
청소년실여부 has 36 (100.0%) missing valuesMissing
특수조명여부 has 36 (100.0%) missing valuesMissing
방음시설여부 has 36 (100.0%) missing valuesMissing
비디오재생기명 has 36 (100.0%) missing valuesMissing
조명시설유무 has 36 (100.0%) missing valuesMissing
음향시설여부 has 36 (100.0%) missing valuesMissing
편의시설여부 has 36 (100.0%) missing valuesMissing
소방시설여부 has 36 (100.0%) missing valuesMissing
기존게임업외업종명 has 36 (100.0%) missing valuesMissing
제공게임물명 has 36 (100.0%) missing valuesMissing
공연장형태구분명 has 36 (100.0%) missing valuesMissing
품목명 has 36 (100.0%) missing valuesMissing
최초등록시점 has 36 (100.0%) missing valuesMissing
지역구분명 has 35 (97.2%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:47:02.138812
Analysis finished2024-05-11 07:47:03.708589
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
3080000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 36
100.0%

Length

2024-05-11T07:47:03.935282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:04.359185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 36
100.0%

관리번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T07:47:04.991363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters720
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

Unique36 ?
Unique (%)100.0%

Sample

1st rowCDFF2241082000000001
2nd rowCDFF2241082006000001
3rd rowCDFF2241082006000002
4th rowCDFF2241082007000001
5th rowCDFF2241082008000001
ValueCountFrequency (%)
cdff2241082000000001 1
 
2.8%
cdff2241082006000001 1
 
2.8%
cdff2241082015000006 1
 
2.8%
cdff2241082014000001 1
 
2.8%
cdff2241082014000002 1
 
2.8%
cdff2241082015000001 1
 
2.8%
cdff2241082015000002 1
 
2.8%
cdff2241082015000003 1
 
2.8%
cdff2241082015000004 1
 
2.8%
cdff2241082016000001 1
 
2.8%
Other values (26) 26
72.2%
2024-05-11T07:47:06.339736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 265
36.8%
2 127
17.6%
1 80
 
11.1%
F 72
 
10.0%
4 41
 
5.7%
8 40
 
5.6%
C 36
 
5.0%
D 36
 
5.0%
3 8
 
1.1%
6 5
 
0.7%
Other values (3) 10
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 576
80.0%
Uppercase Letter 144
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
46.0%
2 127
22.0%
1 80
 
13.9%
4 41
 
7.1%
8 40
 
6.9%
3 8
 
1.4%
6 5
 
0.9%
5 5
 
0.9%
9 4
 
0.7%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 72
50.0%
C 36
25.0%
D 36
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
80.0%
Latin 144
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 265
46.0%
2 127
22.0%
1 80
 
13.9%
4 41
 
7.1%
8 40
 
6.9%
3 8
 
1.4%
6 5
 
0.9%
5 5
 
0.9%
9 4
 
0.7%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
F 72
50.0%
C 36
25.0%
D 36
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 265
36.8%
2 127
17.6%
1 80
 
11.1%
F 72
 
10.0%
4 41
 
5.7%
8 40
 
5.6%
C 36
 
5.0%
D 36
 
5.0%
3 8
 
1.1%
6 5
 
0.7%
Other values (3) 10
 
1.4%

인허가일자
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2000-02-23 00:00:00
Maximum2023-05-01 00:00:00
2024-05-11T07:47:06.848704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:47:07.391372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
34 
20210302
 
2

Length

Max length8
Median length4
Mean length4.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
94.4%
20210302 2
 
5.6%

Length

2024-05-11T07:47:08.056556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:08.479829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
94.4%
20210302 2
 
5.6%

영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
20 
3
14 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
55.6%
3 14
38.9%
4 2
 
5.6%

Length

2024-05-11T07:47:09.024092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:09.805945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
55.6%
3 14
38.9%
4 2
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
영업/정상
20 
폐업
14 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
55.6%
폐업 14
38.9%
취소/말소/만료/정지/중지 2
 
5.6%

Length

2024-05-11T07:47:10.451140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:10.860650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
55.6%
폐업 14
38.9%
취소/말소/만료/정지/중지 2
 
5.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
13
20 
3
14 
31
 
2

Length

Max length2
Median length2
Mean length1.6111111
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 20
55.6%
3 14
38.9%
31 2
 
5.6%

Length

2024-05-11T07:47:11.282459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:11.655874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 20
55.6%
3 14
38.9%
31 2
 
5.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
영업중
20 
폐업
14 
등록취소
 
2

Length

Max length4
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
55.6%
폐업 14
38.9%
등록취소 2
 
5.6%

Length

2024-05-11T07:47:12.019084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:12.408690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
55.6%
폐업 14
38.9%
등록취소 2
 
5.6%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)92.3%
Missing23
Missing (%)63.9%
Memory size420.0 B
Minimum2008-02-04 00:00:00
Maximum2023-05-04 00:00:00
2024-05-11T07:47:12.773020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:47:13.152096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing29
Missing (%)80.6%
Memory size420.0 B
2024-05-11T07:47:13.559097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.142857
Min length8

Characters and Unicode

Total characters71
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

Unique7 ?
Unique (%)100.0%

Sample

1st row945-4111
2nd row905-4060
3rd row031-534-3861
4th row02-990-9951
5th row903-7701
ValueCountFrequency (%)
945-4111 1
14.3%
905-4060 1
14.3%
031-534-3861 1
14.3%
02-990-9951 1
14.3%
903-7701 1
14.3%
070-7432-9970 1
14.3%
02-980-6929 1
14.3%
2024-05-11T07:47:14.266968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13
18.3%
9 12
16.9%
- 11
15.5%
1 7
9.9%
4 5
 
7.0%
3 5
 
7.0%
7 5
 
7.0%
5 4
 
5.6%
2 4
 
5.6%
6 3
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
84.5%
Dash Punctuation 11
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
21.7%
9 12
20.0%
1 7
11.7%
4 5
 
8.3%
3 5
 
8.3%
7 5
 
8.3%
5 4
 
6.7%
2 4
 
6.7%
6 3
 
5.0%
8 2
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13
18.3%
9 12
16.9%
- 11
15.5%
1 7
9.9%
4 5
 
7.0%
3 5
 
7.0%
7 5
 
7.0%
5 4
 
5.6%
2 4
 
5.6%
6 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13
18.3%
9 12
16.9%
- 11
15.5%
1 7
9.9%
4 5
 
7.0%
3 5
 
7.0%
7 5
 
7.0%
5 4
 
5.6%
2 4
 
5.6%
6 3
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
31 
142867
 
2
142706
 
1
142875
 
1
142891
 
1

Length

Max length6
Median length4
Mean length4.2777778
Min length4

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row142706
2nd row142867
3rd row142867
4th row142875
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
86.1%
142867 2
 
5.6%
142706 1
 
2.8%
142875 1
 
2.8%
142891 1
 
2.8%

Length

2024-05-11T07:47:14.590267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:14.966222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
86.1%
142867 2
 
5.6%
142706 1
 
2.8%
142875 1
 
2.8%
142891 1
 
2.8%

지번주소
Text

MISSING 

Distinct27
Distinct (%)77.1%
Missing1
Missing (%)2.8%
Memory size420.0 B
2024-05-11T07:47:15.330734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length25.828571
Min length20

Characters and Unicode

Total characters904
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)62.9%

Sample

1st row서울특별시 강북구 번동 ***번지 유니온빌딩 ***호
2nd row서울특별시 강북구 번동 ***-**번지
3rd row서울특별시 강북구 번동 ***-*번지
4th row서울특별시 강북구 수유동 ***-***번지
5th row서울특별시 강북구 번동 ***-**번지 가든타워오피스텔 ****호
ValueCountFrequency (%)
서울특별시 35
20.3%
강북구 35
20.3%
번지 28
16.3%
수유동 19
11.0%
호 12
 
7.0%
번동 12
 
7.0%
층 6
 
3.5%
6
 
3.5%
미아동 3
 
1.7%
현광빌딩*층 2
 
1.2%
Other values (14) 14
 
8.1%
2024-05-11T07:47:16.232235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 189
20.9%
160
17.7%
번 40
 
4.4%
- 36
 
4.0%
동 36
 
4.0%
구 35
 
3.9%
울 35
 
3.9%
서 35
 
3.9%
북 35
 
3.9%
강 35
 
3.9%
Other values (46) 268
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
57.0%
Other Punctuation 189
 
20.9%
Space Separator 160
 
17.7%
Dash Punctuation 36
 
4.0%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 40
 
7.8%
동 36
 
7.0%
구 35
 
6.8%
울 35
 
6.8%
서 35
 
6.8%
북 35
 
6.8%
강 35
 
6.8%
시 35
 
6.8%
별 35
 
6.8%
특 35
 
6.8%
Other values (39) 159
30.9%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
7 1
25.0%
6 1
25.0%
4 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 189
100.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
57.0%
Common 389
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 40
 
7.8%
동 36
 
7.0%
구 35
 
6.8%
울 35
 
6.8%
서 35
 
6.8%
북 35
 
6.8%
강 35
 
6.8%
시 35
 
6.8%
별 35
 
6.8%
특 35
 
6.8%
Other values (39) 159
30.9%
Common
ValueCountFrequency (%)
* 189
48.6%
160
41.1%
- 36
 
9.3%
3 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
57.0%
ASCII 389
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 189
48.6%
160
41.1%
- 36
 
9.3%
3 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
4 1
 
0.3%
Hangul
ValueCountFrequency (%)
번 40
 
7.8%
동 36
 
7.0%
구 35
 
6.8%
울 35
 
6.8%
서 35
 
6.8%
북 35
 
6.8%
강 35
 
6.8%
시 35
 
6.8%
별 35
 
6.8%
특 35
 
6.8%
Other values (39) 159
30.9%

도로명주소
Text

MISSING 

Distinct33
Distinct (%)94.3%
Missing1
Missing (%)2.8%
Memory size420.0 B
2024-05-11T07:47:16.648063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length31.857143
Min length22

Characters and Unicode

Total characters1115
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)88.6%

Sample

1st row서울특별시 강북구 한천로***길 **, ***호 (번동,유니온빌딩)
2nd row서울특별시 강북구 오패산로**길 ** (번동)
3rd row서울특별시 강북구 덕릉로 *** (번동)
4th row서울특별시 강북구 인수봉로**길 **-* (수유동)
5th row서울특별시 강북구 도봉로 ***, ****호 (번동,가든타워오피스텔)
ValueCountFrequency (%)
서울특별시 35
16.2%
강북구 35
16.2%
34
15.7%
호 17
 
7.9%
수유동 16
 
7.4%
번동 9
 
4.2%
층 8
 
3.7%
수유로 5
 
2.3%
한천로 5
 
2.3%
덕릉로 5
 
2.3%
Other values (36) 47
21.8%
2024-05-11T07:47:17.490552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
17.4%
* 183
16.4%
동 38
 
3.4%
서 35
 
3.1%
구 35
 
3.1%
울 35
 
3.1%
) 35
 
3.1%
( 35
 
3.1%
로 35
 
3.1%
북 35
 
3.1%
Other values (73) 455
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
55.7%
Other Punctuation 216
 
19.4%
Space Separator 194
 
17.4%
Close Punctuation 35
 
3.1%
Open Punctuation 35
 
3.1%
Dash Punctuation 7
 
0.6%
Decimal Number 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 38
 
6.1%
서 35
 
5.6%
구 35
 
5.6%
울 35
 
5.6%
로 35
 
5.6%
북 35
 
5.6%
강 35
 
5.6%
시 35
 
5.6%
별 35
 
5.6%
특 35
 
5.6%
Other values (61) 268
43.2%
Decimal Number
ValueCountFrequency (%)
9 2
28.6%
3 1
14.3%
1 1
14.3%
0 1
14.3%
2 1
14.3%
6 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 183
84.7%
, 33
 
15.3%
Space Separator
ValueCountFrequency (%)
194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
55.7%
Common 494
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 38
 
6.1%
서 35
 
5.6%
구 35
 
5.6%
울 35
 
5.6%
로 35
 
5.6%
북 35
 
5.6%
강 35
 
5.6%
시 35
 
5.6%
별 35
 
5.6%
특 35
 
5.6%
Other values (61) 268
43.2%
Common
ValueCountFrequency (%)
194
39.3%
* 183
37.0%
) 35
 
7.1%
( 35
 
7.1%
, 33
 
6.7%
- 7
 
1.4%
9 2
 
0.4%
3 1
 
0.2%
1 1
 
0.2%
0 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
55.7%
ASCII 494
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
39.3%
* 183
37.0%
) 35
 
7.1%
( 35
 
7.1%
, 33
 
6.7%
- 7
 
1.4%
9 2
 
0.4%
3 1
 
0.2%
1 1
 
0.2%
0 1
 
0.2%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
동 38
 
6.1%
서 35
 
5.6%
구 35
 
5.6%
울 35
 
5.6%
로 35
 
5.6%
북 35
 
5.6%
강 35
 
5.6%
시 35
 
5.6%
별 35
 
5.6%
특 35
 
5.6%
Other values (61) 268
43.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing14
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean1080.9091
Minimum1005
Maximum1212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T07:47:17.879791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1005
5-th percentile1024.15
Q11062
median1070
Q31081
95-th percentile1168.3
Maximum1212
Range207
Interquartile range (IQR)19

Descriptive statistics

Standard deviation47.284256
Coefficient of variation (CV)0.043744896
Kurtosis1.9778117
Mean1080.9091
Median Absolute Deviation (MAD)11
Skewness1.2253633
Sum23780
Variance2235.8009
MonotonicityNot monotonic
2024-05-11T07:47:18.219410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1070 5
 
13.9%
1081 2
 
5.6%
1062 2
 
5.6%
1212 1
 
2.8%
1053 1
 
2.8%
1057 1
 
2.8%
1136 1
 
2.8%
1111 1
 
2.8%
1170 1
 
2.8%
1135 1
 
2.8%
Other values (6) 6
16.7%
(Missing) 14
38.9%
ValueCountFrequency (%)
1005 1
 
2.8%
1024 1
 
2.8%
1027 1
 
2.8%
1053 1
 
2.8%
1057 1
 
2.8%
1062 2
 
5.6%
1065 1
 
2.8%
1069 1
 
2.8%
1070 5
13.9%
1080 1
 
2.8%
ValueCountFrequency (%)
1212 1
 
2.8%
1170 1
 
2.8%
1136 1
 
2.8%
1135 1
 
2.8%
1111 1
 
2.8%
1081 2
 
5.6%
1080 1
 
2.8%
1070 5
13.9%
1069 1
 
2.8%
1065 1
 
2.8%

사업장명
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-11T07:47:18.662995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13.5
Mean length8
Min length2

Characters and Unicode

Total characters288
Distinct characters123
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

Unique32 ?
Unique (%)88.9%

Sample

1st row(주)미나또시스템
2nd row엠지엠시스템
3rd row(주)가마소프트
4th row유진교역
5th row유비소프트(UB Soft)
ValueCountFrequency (%)
스타소프트 2
 
3.9%
soft 2
 
3.9%
orock 2
 
3.9%
부원시스템 2
 
3.9%
주식회사 2
 
3.9%
원소프트 1
 
2.0%
업라이트소프트(uprightsoft 1
 
2.0%
젤리피쉬소프트 1
 
2.0%
스페이드 1
 
2.0%
에이(spade 1
 
2.0%
Other values (36) 36
70.6%
2024-05-11T07:47:19.715264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 15
 
5.2%
15
 
5.2%
소 12
 
4.2%
프 11
 
3.8%
) 11
 
3.8%
( 11
 
3.8%
스 10
 
3.5%
주 6
 
2.1%
S 5
 
1.7%
시 5
 
1.7%
Other values (113) 187
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
59.7%
Uppercase Letter 40
 
13.9%
Lowercase Letter 34
 
11.8%
Space Separator 15
 
5.2%
Close Punctuation 11
 
3.8%
Open Punctuation 11
 
3.8%
Decimal Number 4
 
1.4%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 15
 
8.7%
소 12
 
7.0%
프 11
 
6.4%
스 10
 
5.8%
주 6
 
3.5%
시 5
 
2.9%
이 5
 
2.9%
유 4
 
2.3%
원 4
 
2.3%
템 4
 
2.3%
Other values (71) 96
55.8%
Uppercase Letter
ValueCountFrequency (%)
S 5
12.5%
O 5
12.5%
M 3
 
7.5%
A 3
 
7.5%
E 3
 
7.5%
R 3
 
7.5%
B 2
 
5.0%
G 2
 
5.0%
U 2
 
5.0%
C 2
 
5.0%
Other values (7) 10
25.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
11.8%
t 4
11.8%
e 3
8.8%
f 3
8.8%
o 3
8.8%
p 3
8.8%
i 3
8.8%
s 2
 
5.9%
g 1
 
2.9%
r 1
 
2.9%
Other values (7) 7
20.6%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
2 1
25.0%
6 1
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
59.7%
Latin 74
25.7%
Common 42
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 15
 
8.7%
소 12
 
7.0%
프 11
 
6.4%
스 10
 
5.8%
주 6
 
3.5%
시 5
 
2.9%
이 5
 
2.9%
유 4
 
2.3%
원 4
 
2.3%
템 4
 
2.3%
Other values (71) 96
55.8%
Latin
ValueCountFrequency (%)
S 5
 
6.8%
O 5
 
6.8%
a 4
 
5.4%
t 4
 
5.4%
M 3
 
4.1%
e 3
 
4.1%
A 3
 
4.1%
E 3
 
4.1%
f 3
 
4.1%
R 3
 
4.1%
Other values (24) 38
51.4%
Common
ValueCountFrequency (%)
15
35.7%
) 11
26.2%
( 11
26.2%
1 1
 
2.4%
0 1
 
2.4%
2 1
 
2.4%
6 1
 
2.4%
& 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
59.7%
ASCII 116
40.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 15
 
8.7%
소 12
 
7.0%
프 11
 
6.4%
스 10
 
5.8%
주 6
 
3.5%
시 5
 
2.9%
이 5
 
2.9%
유 4
 
2.3%
원 4
 
2.3%
템 4
 
2.3%
Other values (71) 96
55.8%
ASCII
ValueCountFrequency (%)
15
 
12.9%
) 11
 
9.5%
( 11
 
9.5%
S 5
 
4.3%
O 5
 
4.3%
a 4
 
3.4%
t 4
 
3.4%
M 3
 
2.6%
e 3
 
2.6%
A 3
 
2.6%
Other values (32) 52
44.8%

최종수정일자
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2006-05-04 15:29:18
Maximum2024-01-04 17:53:17
2024-05-11T07:47:20.117345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:47:20.523978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
I
29 
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 29
80.6%
U 7
 
19.4%

Length

2024-05-11T07:47:21.110431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:21.456797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
80.6%
u 7
 
19.4%

데이터갱신일자
Date

Distinct9
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 00:06:00
2024-05-11T07:47:21.863467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:47:22.396629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

좌표정보(X)
Real number (ℝ)

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202017.7
Minimum200785.23
Maximum203757.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T07:47:22.943016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200785.23
5-th percentile201066.24
Q1201663.42
median201977.36
Q3202185.28
95-th percentile202964.52
Maximum203757.29
Range2972.0569
Interquartile range (IQR)521.86536

Descriptive statistics

Standard deviation592.40721
Coefficient of variation (CV)0.002932452
Kurtosis1.5015457
Mean202017.7
Median Absolute Deviation (MAD)253.87259
Skewness0.64110812
Sum7272637.1
Variance350946.3
MonotonicityNot monotonic
2024-05-11T07:47:23.542147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
201977.364158159 4
 
11.1%
201659.950735458 3
 
8.3%
202155.401317068 2
 
5.6%
201797.572535287 2
 
5.6%
203757.285284697 1
 
2.8%
201720.686531552 1
 
2.8%
202056.977848459 1
 
2.8%
202674.480944383 1
 
2.8%
203228.629170597 1
 
2.8%
201505.406518175 1
 
2.8%
Other values (19) 19
52.8%
ValueCountFrequency (%)
200785.228384458 1
 
2.8%
201028.099477749 1
 
2.8%
201078.950904269 1
 
2.8%
201252.378198488 1
 
2.8%
201505.406518175 1
 
2.8%
201646.682467233 1
 
2.8%
201659.950735458 3
8.3%
201664.571652466 1
 
2.8%
201720.686531552 1
 
2.8%
201760.840899656 1
 
2.8%
ValueCountFrequency (%)
203757.285284697 1
2.8%
203228.629170597 1
2.8%
202876.477476415 1
2.8%
202804.371030562 1
2.8%
202792.494497343 1
2.8%
202674.480944383 1
2.8%
202257.319917341 1
2.8%
202228.431717714 1
2.8%
202200.319246348 1
2.8%
202180.269293474 1
2.8%

좌표정보(Y)
Real number (ℝ)

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459319.49
Minimum456530.92
Maximum461586.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T07:47:23.962069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456530.92
5-th percentile457822.58
Q1459145.6
median459297.75
Q3459900.53
95-th percentile460329.51
Maximum461586.38
Range5055.4623
Interquartile range (IQR)754.93235

Descriptive statistics

Standard deviation890.27517
Coefficient of variation (CV)0.0019382482
Kurtosis3.8941024
Mean459319.49
Median Absolute Deviation (MAD)273.66066
Skewness-1.0116958
Sum16535502
Variance792589.87
MonotonicityNot monotonic
2024-05-11T07:47:24.444834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
459993.074907442 4
 
11.1%
459145.598171329 3
 
8.3%
459411.940883021 2
 
5.6%
459153.577561431 2
 
5.6%
458490.883652834 1
 
2.8%
459256.314653965 1
 
2.8%
459994.129721138 1
 
2.8%
459830.30190538 1
 
2.8%
459281.107347277 1
 
2.8%
458926.401526974 1
 
2.8%
Other values (19) 19
52.8%
ValueCountFrequency (%)
456530.919262837 1
 
2.8%
456816.00435569 1
 
2.8%
458158.105668456 1
 
2.8%
458490.883652834 1
 
2.8%
458676.387725336 1
 
2.8%
458926.401526974 1
 
2.8%
459046.125539538 1
 
2.8%
459145.598171329 3
8.3%
459153.577561431 2
5.6%
459182.283278113 1
 
2.8%
ValueCountFrequency (%)
461586.381601076 1
 
2.8%
460493.368944554 1
 
2.8%
460274.892585528 1
 
2.8%
459994.129721138 1
 
2.8%
459993.074907442 4
11.1%
459989.446033685 1
 
2.8%
459870.892017818 1
 
2.8%
459830.30190538 1
 
2.8%
459593.446853204 1
 
2.8%
459411.940883021 2
5.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
게임물제작업
32 
<NA>
4 

Length

Max length6
Median length6
Mean length5.7777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 32
88.9%
<NA> 4
 
11.1%

Length

2024-05-11T07:47:25.106575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:25.454242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 32
88.9%
na 4
 
11.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
유통관련업
32 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 32
88.9%
<NA> 4
 
11.1%

Length

2024-05-11T07:47:25.818878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:26.278290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 32
88.9%
na 4
 
11.1%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
34 
9
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.8333333
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row9
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
94.4%
9 1
 
2.8%
0 1
 
2.8%

Length

2024-05-11T07:47:26.634046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:26.980992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
94.4%
9 1
 
2.8%
0 1
 
2.8%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing35
Missing (%)97.2%
Memory size420.0 B
2024-05-11T07:47:27.206966image/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%
2024-05-11T07:47:27.885675image/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 

Distinct25
Distinct (%)78.1%
Missing4
Missing (%)11.1%
Memory size420.0 B
2024-05-11T07:47:28.386459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length8.875
Min length3

Characters and Unicode

Total characters284
Distinct characters45
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

Unique20 ?
Unique (%)62.5%

Sample

1st row아케이드
2nd row아케이드게임물
3rd row게임물
4th row게임기
5th row게임소프트웨어(PC온라인게임) 개발 및 제작
ValueCountFrequency (%)
아케이드 4
 
8.3%
게임물 3
 
6.2%
온라인게임 3
 
6.2%
모바일게임 3
 
6.2%
소프트웨어 3
 
6.2%
게임 3
 
6.2%
게임기 2
 
4.2%
게임소프트웨어 2
 
4.2%
pc온라인게임 2
 
4.2%
보드게임 2
 
4.2%
Other values (21) 21
43.8%
2024-05-11T07:47:29.276880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 33
 
11.6%
임 33
 
11.6%
16
 
5.6%
어 12
 
4.2%
트 12
 
4.2%
인 10
 
3.5%
웨 10
 
3.5%
프 10
 
3.5%
소 10
 
3.5%
, 9
 
3.2%
Other values (35) 129
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
85.9%
Space Separator 16
 
5.6%
Uppercase Letter 11
 
3.9%
Other Punctuation 9
 
3.2%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 33
 
13.5%
임 33
 
13.5%
어 12
 
4.9%
트 12
 
4.9%
인 10
 
4.1%
웨 10
 
4.1%
프 10
 
4.1%
소 10
 
4.1%
온 9
 
3.7%
라 9
 
3.7%
Other values (27) 96
39.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
45.5%
P 4
36.4%
T 1
 
9.1%
G 1
 
9.1%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
85.9%
Common 29
 
10.2%
Latin 11
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 33
 
13.5%
임 33
 
13.5%
어 12
 
4.9%
트 12
 
4.9%
인 10
 
4.1%
웨 10
 
4.1%
프 10
 
4.1%
소 10
 
4.1%
온 9
 
3.7%
라 9
 
3.7%
Other values (27) 96
39.3%
Common
ValueCountFrequency (%)
16
55.2%
, 9
31.0%
) 2
 
6.9%
( 2
 
6.9%
Latin
ValueCountFrequency (%)
C 5
45.5%
P 4
36.4%
T 1
 
9.1%
G 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
85.9%
ASCII 40
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 33
 
13.5%
임 33
 
13.5%
어 12
 
4.9%
트 12
 
4.9%
인 10
 
4.1%
웨 10
 
4.1%
프 10
 
4.1%
소 10
 
4.1%
온 9
 
3.7%
라 9
 
3.7%
Other values (27) 96
39.3%
ASCII
ValueCountFrequency (%)
16
40.0%
, 9
22.5%
C 5
 
12.5%
P 4
 
10.0%
) 2
 
5.0%
( 2
 
5.0%
T 1
 
2.5%
G 1
 
2.5%

시설면적
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing8
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean66.366071
Minimum3.3
Maximum323.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-11T07:47:29.984075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.3
Q120
median52.205
Q391.56
95-th percentile131.9195
Maximum323.6
Range320.3
Interquartile range (IQR)71.56

Descriptive statistics

Standard deviation66.498546
Coefficient of variation (CV)1.0019961
Kurtosis7.3955894
Mean66.366071
Median Absolute Deviation (MAD)36.22
Skewness2.2246418
Sum1858.25
Variance4422.0566
MonotonicityNot monotonic
2024-05-11T07:47:30.436836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.3 4
 
11.1%
131.77 2
 
5.6%
20.0 2
 
5.6%
98.67 1
 
2.8%
41.24 1
 
2.8%
24.0 1
 
2.8%
26.0 1
 
2.8%
12.0 1
 
2.8%
84.89 1
 
2.8%
118.0 1
 
2.8%
Other values (13) 13
36.1%
(Missing) 8
22.2%
ValueCountFrequency (%)
3.3 4
11.1%
10.0 1
 
2.8%
12.0 1
 
2.8%
20.0 2
5.6%
24.0 1
 
2.8%
26.0 1
 
2.8%
34.31 1
 
2.8%
36.9 1
 
2.8%
40.93 1
 
2.8%
41.24 1
 
2.8%
ValueCountFrequency (%)
323.6 1
2.8%
132.0 1
2.8%
131.77 2
5.6%
118.0 1
2.8%
114.81 1
2.8%
98.67 1
2.8%
89.19 1
2.8%
87.66 1
2.8%
84.89 1
2.8%
71.2 1
2.8%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
30 
3
 
3
9
 
1
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.5
Min length1

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row<NA>
2nd row9
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 30
83.3%
3 3
 
8.3%
9 1
 
2.8%
2 1
 
2.8%
0 1
 
2.8%

Length

2024-05-11T07:47:31.336911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:31.793010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
83.3%
3 3
 
8.3%
9 1
 
2.8%
2 1
 
2.8%
0 1
 
2.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T07:47:32.214011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:32.779272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing35
Missing (%)97.2%
Memory size420.0 B
2024-05-11T07:47:33.168996image/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 row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T07:47:34.422226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T07:47:35.086424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:35.519316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T07:47:36.136086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:36.837305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T07:47:37.398094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:37.944229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T07:47:38.617893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:39.183024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
0
 
1

Length

Max length4
Median length4
Mean length3.9166667
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
0 1
 
2.8%

Length

2024-05-11T07:47:39.975412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:47:40.620787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
0 1
 
2.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing35
Missing (%)97.2%
Memory size420.0 B
2024-05-11T07:47:41.094666image/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 row일반상업지역
ValueCountFrequency (%)
일반상업지역 1
100.0%
2024-05-11T07:47:41.865068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 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%
상 1
16.7%
업 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%
상 1
16.7%
업 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%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03080000CDFF224108200000000120000223<NA>3폐업3폐업20080204<NA><NA><NA>945-4111<NA>142706서울특별시 강북구 번동 ***번지 유니온빌딩 ***호서울특별시 강북구 한천로***길 **, ***호 (번동,유니온빌딩)<NA>(주)미나또시스템2008-02-12 15:55:09I2018-08-31 23:59:59.0<NA>203757.285285458490.883653게임물제작업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13080000CDFF224108200600000120060504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142867서울특별시 강북구 번동 ***-**번지서울특별시 강북구 오패산로**길 ** (번동)<NA>엠지엠시스템2006-05-04 15:29:18I2018-08-31 23:59:59.0<NA>202158.537737459344.221213게임물제작업유통관련업9기타아케이드게임물<NA>9<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
23080000CDFF224108200600000220060607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142867서울특별시 강북구 번동 ***-*번지서울특별시 강북구 덕릉로 *** (번동)<NA>(주)가마소프트2006-06-07 13:12:09I2018-08-31 23:59:59.0<NA>202257.319917459203.63379게임물제작업유통관련업<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>
33080000CDFF224108200700000120070807<NA>3폐업3폐업20120702<NA><NA><NA><NA><NA>142875서울특별시 강북구 수유동 ***-***번지서울특별시 강북구 인수봉로**길 **-* (수유동)<NA>유진교역2012-07-02 13:19:18I2018-08-31 23:59:59.0<NA>201252.378198458676.387725게임물제작업유통관련업<NA><NA>게임기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43080000CDFF224108200800000120080424<NA>3폐업3폐업20100210<NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-**번지 가든타워오피스텔 ****호서울특별시 강북구 도봉로 ***, ****호 (번동,가든타워오피스텔)<NA>유비소프트(UB Soft)2010-02-10 16:30:40I2018-08-31 23:59:59.0<NA>202155.401317459411.940883게임물제작업유통관련업<NA><NA>게임소프트웨어(PC온라인게임) 개발 및 제작36.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53080000CDFF224108200900000120090227<NA>3폐업3폐업20091231<NA><NA><NA><NA><NA>142891서울특별시 강북구 수유동 **-**번지 *층 *호서울특별시 강북구 덕릉로 **, *호 (수유동,*층)<NA>스타소프트2012-11-01 13:36:39I2018-08-31 23:59:59.0<NA>201797.572535459153.577561게임물제작업유통관련업<NA><NA>PC온라인게임20.0<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>
63080000CDFF224108200900000220090527<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 **-**번지 *층 *호서울특별시 강북구 수유로 **, *호 (수유동,*층)<NA>부원시스템2009-05-27 09:30:32I2018-08-31 23:59:59.0<NA>201659.950735459145.598171게임물제작업유통관련업<NA><NA>아케이드 게임기, 소프트웨어 자문132.0<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>
73080000CDFF224108200900000320090526<NA>1영업/정상13영업중<NA><NA><NA><NA>905-4060<NA><NA>서울특별시 강북구 수유동 **-**번지 *층서울특별시 강북구 수유로 ** (수유동,*층)<NA>부원시스템2009-12-14 17:29:43I2018-08-31 23:59:59.0<NA>201659.950735459145.598171게임물제작업유통관련업<NA><NA>소프트웨어자문,아케이드게임기131.773<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83080000CDFF224108200900000420090227<NA>3폐업3폐업20091231<NA><NA><NA>031-534-3861<NA><NA>서울특별시 강북구 수유동 **-**번지서울특별시 강북구 덕릉로 ** (수유동)<NA>스타소프트2012-11-01 13:39:27I2018-08-31 23:59:59.0<NA>201797.572535459153.577561게임물제작업유통관련업<NA><NA>PC온라인게임20.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93080000CDFF224108201000000120081029<NA>3폐업3폐업20140611<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*번지서울특별시 강북구 삼각산로 *** (수유동)<NA>Game in2014-06-11 14:53:23I2018-08-31 23:59:59.0<NA>201646.682467459870.892018게임물제작업유통관련업<NA><NA>게임물71.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
263080000CDFF224108201500000620151214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-980-6929<NA><NA>서울특별시 강북구 번동 ***-**번지서울특별시 강북구 덕릉로 ***-* (번동)1135JM GAMES2016-03-03 11:31:02I2018-08-31 23:59:59.0<NA>202804.371031459196.604342게임물제작업유통관련업<NA><NA>TCG게임 모바일118.0<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>
273080000CDFF224108201600000120160304<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***번지서울특별시 강북구 숭인로*가길 **, ***동 ****호 (미아동, 미아동부센트레빌아파트)1212주식회사 플레이2602016-03-04 17:37:43I2018-08-31 23:59:59.0<NA>202200.319246456816.004356게임물제작업유통관련업<NA><NA>온라인모바일 게임84.89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283080000CDFF224108201600000220160608202103024취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*서울특별시 강북구 한천로 **** (수유동, 현광빌딩)1070노란천막2021-03-03 16:35:15U2021-03-05 02:40:00.0<NA>201977.364158459993.074907게임물제작업유통관련업<NA><NA>온라인게임3.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293080000CDFF224108201800000120170511<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-**번지 한스하우스**서울특별시 강북구 오패산로**길 **, 한스하우스** (번동)1062OROCK2018-02-20 08:47:55I2018-08-31 23:59:59.0<NA>202180.269293459370.960108게임물제작업유통관련업<NA><NA>모바일게임12.0<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>
303080000CDFF224108201800000220180322<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*번지 민스빌서울특별시 강북구 노해로 **, 민스빌 *층 ***호 (수유동)1070스페이드 에이(Spade A)2018-03-22 15:44:02I2018-08-31 23:59:59.0<NA>201933.428253459989.446034게임물제작업유통관련업<NA><NA>모바일게임26.0<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>
313080000CDFF224108201800000320180831<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-***번지 건우빌딩서울특별시 강북구 삼양로 ***, 건우빌딩 *층 ***-*호 (수유동)1111젤리피쉬소프트2018-08-31 14:58:51I2018-08-31 23:59:59.0<NA>201505.406518458926.401527게임물제작업유통관련업<NA><NA>모바일게임소프트웨어24.0<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>
323080000CDFF22410820210000012021-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-** 가든타워빌딩 ***호서울특별시 강북구 도봉로 ***, 가든타워빌딩 ***호 (번동)1062업라이트소프트(UprightSoft)2024-01-04 17:53:17U2023-12-01 00:06:00.0<NA>202155.401317459411.940883<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333080000CDFF224108202100000220211013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-**서울특별시 강북구 덕릉로**길 ** (번동)1136원소프트2021-10-13 16:13:43I2021-10-15 00:22:46.0<NA>203228.629171459281.107347게임물제작업유통관련업0<NA>게임아이템, 소프트웨어개발41.2400<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
343080000CDFF224108202200000220221212<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 467-3 풀스토리서울특별시 강북구 도봉로96가길 29, 풀스토리 103호 (번동)1057대원(DE1)2022-12-12 15:25:25I2021-11-01 23:04:00.0<NA>202674.480944459830.301905<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353080000CDFF22410820230000012023-05-01<NA>3폐업3폐업2023-05-04<NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-* 동보빌딩서울특별시 강북구 한천로 ****, 동보빌딩 *층 ***호 (수유동)1053스타상사2023-05-04 16:19:08U2022-12-05 00:07:00.0<NA>202056.977848459994.129721<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>