Overview

Dataset statistics

Number of variables56
Number of observations84
Missing cells2703
Missing cells (%)57.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.0 KiB
Average record size in memory487.6 B

Variable types

Categorical13
Text6
DateTime3
Unsupported27
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16715/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.3%)Imbalance
영업상태명 is highly imbalanced (53.3%)Imbalance
상세영업상태코드 is highly imbalanced (53.3%)Imbalance
상세영업상태명 is highly imbalanced (53.3%)Imbalance
데이터갱신구분 is highly imbalanced (62.9%)Imbalance
데이터갱신일자 is highly imbalanced (59.9%)Imbalance
문화체육업종명 is highly imbalanced (54.6%)Imbalance
문화사업자구분명 is highly imbalanced (54.6%)Imbalance
지하층수 is highly imbalanced (66.9%)Imbalance
건물용도명 is highly imbalanced (63.3%)Imbalance
지역구분명 is highly imbalanced (63.4%)Imbalance
인허가취소일자 has 84 (100.0%) missing valuesMissing
폐업일자 has 69 (82.1%) missing valuesMissing
휴업시작일자 has 84 (100.0%) missing valuesMissing
휴업종료일자 has 84 (100.0%) missing valuesMissing
재개업일자 has 84 (100.0%) missing valuesMissing
전화번호 has 40 (47.6%) missing valuesMissing
소재지면적 has 84 (100.0%) missing valuesMissing
소재지우편번호 has 50 (59.5%) missing valuesMissing
지번주소 has 2 (2.4%) missing valuesMissing
도로명주소 has 7 (8.3%) missing valuesMissing
도로명우편번호 has 49 (58.3%) missing valuesMissing
업태구분명 has 84 (100.0%) missing valuesMissing
좌표정보(X) has 7 (8.3%) missing valuesMissing
좌표정보(Y) has 7 (8.3%) missing valuesMissing
총층수 has 72 (85.7%) missing valuesMissing
제작취급품목내용 has 32 (38.1%) missing valuesMissing
시설면적 has 29 (34.5%) missing valuesMissing
지상층수 has 71 (84.5%) missing valuesMissing
통로너비 has 84 (100.0%) missing valuesMissing
조명시설조도 has 84 (100.0%) missing valuesMissing
노래방실수 has 84 (100.0%) missing valuesMissing
청소년실수 has 84 (100.0%) missing valuesMissing
비상계단여부 has 84 (100.0%) missing valuesMissing
비상구여부 has 84 (100.0%) missing valuesMissing
자동환기여부 has 84 (100.0%) missing valuesMissing
청소년실여부 has 84 (100.0%) missing valuesMissing
특수조명여부 has 84 (100.0%) missing valuesMissing
방음시설여부 has 84 (100.0%) missing valuesMissing
비디오재생기명 has 84 (100.0%) missing valuesMissing
조명시설유무 has 84 (100.0%) missing valuesMissing
음향시설여부 has 84 (100.0%) missing valuesMissing
편의시설여부 has 84 (100.0%) missing valuesMissing
소방시설여부 has 84 (100.0%) missing valuesMissing
총게임기수 has 84 (100.0%) missing valuesMissing
기존게임업외업종명 has 84 (100.0%) missing valuesMissing
제공게임물명 has 84 (100.0%) missing valuesMissing
공연장형태구분명 has 84 (100.0%) missing valuesMissing
품목명 has 84 (100.0%) missing valuesMissing
최초등록시점 has 84 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-11 02:29:16.870049
Analysis finished2024-05-11 02:29:18.114026
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
3240000
84 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 84
100.0%

Length

2024-05-11T02:29:18.337707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:18.668684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 84
100.0%

관리번호
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-05-11T02:29:19.085109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1680
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

Unique84 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241082000000001
3rd rowCDFF2241082000000002
4th rowCDFF2241082001000001
5th rowCDFF2241082001000002
ValueCountFrequency (%)
cdff2241081999000001 1
 
1.2%
cdff2241082012000003 1
 
1.2%
cdff2241082016000002 1
 
1.2%
cdff2241082016000001 1
 
1.2%
cdff2241082015000004 1
 
1.2%
cdff2241082015000003 1
 
1.2%
cdff2241082015000002 1
 
1.2%
cdff2241082015000001 1
 
1.2%
cdff2241082013000002 1
 
1.2%
cdff2241082013000001 1
 
1.2%
Other values (74) 74
88.1%
2024-05-11T02:29:20.113647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 636
37.9%
2 289
17.2%
F 168
 
10.0%
1 157
 
9.3%
4 97
 
5.8%
8 89
 
5.3%
C 84
 
5.0%
D 84
 
5.0%
3 24
 
1.4%
6 18
 
1.1%
Other values (3) 34
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1344
80.0%
Uppercase Letter 336
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 636
47.3%
2 289
21.5%
1 157
 
11.7%
4 97
 
7.2%
8 89
 
6.6%
3 24
 
1.8%
6 18
 
1.3%
5 15
 
1.1%
7 11
 
0.8%
9 8
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 168
50.0%
C 84
25.0%
D 84
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1344
80.0%
Latin 336
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 636
47.3%
2 289
21.5%
1 157
 
11.7%
4 97
 
7.2%
8 89
 
6.6%
3 24
 
1.8%
6 18
 
1.3%
5 15
 
1.1%
7 11
 
0.8%
9 8
 
0.6%
Latin
ValueCountFrequency (%)
F 168
50.0%
C 84
25.0%
D 84
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 636
37.9%
2 289
17.2%
F 168
 
10.0%
1 157
 
9.3%
4 97
 
5.8%
8 89
 
5.3%
C 84
 
5.0%
D 84
 
5.0%
3 24
 
1.4%
6 18
 
1.1%
Other values (3) 34
 
2.0%

인허가일자
Date

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum1999-12-06 00:00:00
Maximum2023-07-06 00:00:00
2024-05-11T02:29:20.548529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:29:21.093843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
1
69 
3
14 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
82.1%
3 14
 
16.7%
5 1
 
1.2%

Length

2024-05-11T02:29:21.568698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:21.871122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
82.1%
3 14
 
16.7%
5 1
 
1.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
영업/정상
69 
폐업
14 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.5357143
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 69
82.1%
폐업 14
 
16.7%
제외/삭제/전출 1
 
1.2%

Length

2024-05-11T02:29:22.230167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:22.587667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 69
82.1%
폐업 14
 
16.7%
제외/삭제/전출 1
 
1.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
13
69 
3
14 
15
 
1

Length

Max length2
Median length2
Mean length1.8333333
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 69
82.1%
3 14
 
16.7%
15 1
 
1.2%

Length

2024-05-11T02:29:22.977306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:23.400915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 69
82.1%
3 14
 
16.7%
15 1
 
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
영업중
69 
폐업
14 
전출
 
1

Length

Max length3
Median length3
Mean length2.8214286
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 69
82.1%
폐업 14
 
16.7%
전출 1
 
1.2%

Length

2024-05-11T02:29:23.772278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:24.154540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 69
82.1%
폐업 14
 
16.7%
전출 1
 
1.2%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing69
Missing (%)82.1%
Memory size804.0 B
Minimum2006-12-18 00:00:00
Maximum2023-11-07 00:00:00
2024-05-11T02:29:24.524523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:29:24.853862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

전화번호
Text

MISSING 

Distinct42
Distinct (%)95.5%
Missing40
Missing (%)47.6%
Memory size804.0 B
2024-05-11T02:29:25.491042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8863636
Min length8

Characters and Unicode

Total characters391
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

Unique40 ?
Unique (%)90.9%

Sample

1st row3426-2929
2nd row477-1181
3rd row442-4624
4th row474-9530
5th row476-0100
ValueCountFrequency (%)
485-5130 2
 
4.5%
474-5671 2
 
4.5%
6229-4059 1
 
2.3%
1688-2481 1
 
2.3%
3426-2929 1
 
2.3%
482-0028 1
 
2.3%
483-8787 1
 
2.3%
484-1425 1
 
2.3%
568-6620 1
 
2.3%
2104-6747 1
 
2.3%
Other values (32) 32
72.7%
2024-05-11T02:29:26.493039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 60
15.3%
- 52
13.3%
0 43
11.0%
5 38
9.7%
7 38
9.7%
2 37
9.5%
1 32
8.2%
8 31
7.9%
6 24
 
6.1%
9 24
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
86.7%
Dash Punctuation 52
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 60
17.7%
0 43
12.7%
5 38
11.2%
7 38
11.2%
2 37
10.9%
1 32
9.4%
8 31
9.1%
6 24
 
7.1%
9 24
 
7.1%
3 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 391
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 60
15.3%
- 52
13.3%
0 43
11.0%
5 38
9.7%
7 38
9.7%
2 37
9.5%
1 32
8.2%
8 31
7.9%
6 24
 
6.1%
9 24
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 60
15.3%
- 52
13.3%
0 43
11.0%
5 38
9.7%
7 38
9.7%
2 37
9.5%
1 32
8.2%
8 31
7.9%
6 24
 
6.1%
9 24
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)61.8%
Missing50
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean134828.71
Minimum134030
Maximum134890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:26.916259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134030
5-th percentile134818.15
Q1134823.25
median134851
Q3134871.75
95-th percentile134885
Maximum134890
Range860
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation143.0017
Coefficient of variation (CV)0.0010606176
Kurtosis32.089174
Mean134828.71
Median Absolute Deviation (MAD)22
Skewness-5.5917898
Sum4584176
Variance20449.487
MonotonicityNot monotonic
2024-05-11T02:29:27.450912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
134822 7
 
8.3%
134851 5
 
6.0%
134873 3
 
3.6%
134885 2
 
2.4%
134827 1
 
1.2%
134872 1
 
1.2%
134811 1
 
1.2%
134883 1
 
1.2%
134845 1
 
1.2%
134848 1
 
1.2%
Other values (11) 11
 
13.1%
(Missing) 50
59.5%
ValueCountFrequency (%)
134030 1
 
1.2%
134811 1
 
1.2%
134822 7
8.3%
134827 1
 
1.2%
134830 1
 
1.2%
134845 1
 
1.2%
134848 1
 
1.2%
134851 5
6.0%
134859 1
 
1.2%
134864 1
 
1.2%
ValueCountFrequency (%)
134890 1
 
1.2%
134885 2
2.4%
134883 1
 
1.2%
134874 1
 
1.2%
134873 3
3.6%
134872 1
 
1.2%
134871 1
 
1.2%
134870 1
 
1.2%
134869 1
 
1.2%
134868 1
 
1.2%

지번주소
Text

MISSING 

Distinct76
Distinct (%)92.7%
Missing2
Missing (%)2.4%
Memory size804.0 B
2024-05-11T02:29:28.289442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length28.243902
Min length19

Characters and Unicode

Total characters2316
Distinct characters111
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

Unique70 ?
Unique (%)85.4%

Sample

1st row서울특별시 강동구 명일동 ***-*번지
2nd row서울특별시 강동구 성내동 ***-**번지
3rd row서울특별시 강동구 명일동 ***-*번지
4th row서울특별시 강동구 둔촌동 ***-*번지 *층
5th row서울특별시 강동구 둔촌동 ***-*번지 은호빌딩 *층
ValueCountFrequency (%)
서울특별시 82
18.7%
강동구 82
18.7%
번지 69
15.7%
호 38
8.7%
천호동 23
 
5.2%
성내동 23
 
5.2%
층 21
 
4.8%
둔촌동 12
 
2.7%
11
 
2.5%
길동 10
 
2.3%
Other values (55) 68
15.5%
2024-05-11T02:29:29.580385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 488
21.1%
412
17.8%
동 175
 
7.6%
강 90
 
3.9%
서 83
 
3.6%
구 82
 
3.5%
울 82
 
3.5%
시 82
 
3.5%
특 82
 
3.5%
별 82
 
3.5%
Other values (101) 658
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
57.9%
Other Punctuation 488
 
21.1%
Space Separator 412
 
17.8%
Dash Punctuation 68
 
2.9%
Decimal Number 5
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 175
 
13.0%
강 90
 
6.7%
서 83
 
6.2%
구 82
 
6.1%
울 82
 
6.1%
시 82
 
6.1%
특 82
 
6.1%
별 82
 
6.1%
지 73
 
5.4%
번 69
 
5.1%
Other values (93) 441
32.9%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
1 2
40.0%
0 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 488
100.0%
Space Separator
ValueCountFrequency (%)
412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1341
57.9%
Common 975
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 175
 
13.0%
강 90
 
6.7%
서 83
 
6.2%
구 82
 
6.1%
울 82
 
6.1%
시 82
 
6.1%
특 82
 
6.1%
별 82
 
6.1%
지 73
 
5.4%
번 69
 
5.1%
Other values (93) 441
32.9%
Common
ValueCountFrequency (%)
* 488
50.1%
412
42.3%
- 68
 
7.0%
4 2
 
0.2%
1 2
 
0.2%
0 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1341
57.9%
ASCII 975
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 488
50.1%
412
42.3%
- 68
 
7.0%
4 2
 
0.2%
1 2
 
0.2%
0 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 175
 
13.0%
강 90
 
6.7%
서 83
 
6.2%
구 82
 
6.1%
울 82
 
6.1%
시 82
 
6.1%
특 82
 
6.1%
별 82
 
6.1%
지 73
 
5.4%
번 69
 
5.1%
Other values (93) 441
32.9%

도로명주소
Text

MISSING 

Distinct74
Distinct (%)96.1%
Missing7
Missing (%)8.3%
Memory size804.0 B
2024-05-11T02:29:30.275757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length34.844156
Min length24

Characters and Unicode

Total characters2683
Distinct characters135
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

Unique71 ?
Unique (%)92.2%

Sample

1st row서울특별시 강동구 양재대로***길 ** (명일동)
2nd row서울특별시 강동구 성안로*길 ** (성내동)
3rd row서울특별시 강동구 동남로**길 ** (명일동)
4th row서울특별시 강동구 구천면로 *** (천호동,동아코아빌딩 ***호)
5th row서울특별시 강동구 강동대로 *** (성내동,성내빌딩 *층)
ValueCountFrequency (%)
서울특별시 77
15.9%
강동구 77
15.9%
76
15.7%
호 45
 
9.3%
층 20
 
4.1%
천호동 11
 
2.3%
올림픽로 10
 
2.1%
성내동 9
 
1.9%
길동 7
 
1.4%
구천면로 6
 
1.2%
Other values (94) 145
30.0%
2024-05-11T02:29:31.525923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 470
17.5%
448
16.7%
동 171
 
6.4%
, 92
 
3.4%
강 90
 
3.4%
호 89
 
3.3%
구 87
 
3.2%
) 78
 
2.9%
( 78
 
2.9%
서 78
 
2.9%
Other values (125) 1002
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1498
55.8%
Other Punctuation 562
 
20.9%
Space Separator 448
 
16.7%
Close Punctuation 78
 
2.9%
Open Punctuation 78
 
2.9%
Dash Punctuation 9
 
0.3%
Decimal Number 9
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 171
 
11.4%
강 90
 
6.0%
호 89
 
5.9%
구 87
 
5.8%
서 78
 
5.2%
울 77
 
5.1%
시 77
 
5.1%
별 77
 
5.1%
특 77
 
5.1%
로 76
 
5.1%
Other values (113) 599
40.0%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
3 2
22.2%
7 2
22.2%
4 1
 
11.1%
0 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 470
83.6%
, 92
 
16.4%
Space Separator
ValueCountFrequency (%)
448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1498
55.8%
Common 1184
44.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 171
 
11.4%
강 90
 
6.0%
호 89
 
5.9%
구 87
 
5.8%
서 78
 
5.2%
울 77
 
5.1%
시 77
 
5.1%
별 77
 
5.1%
특 77
 
5.1%
로 76
 
5.1%
Other values (113) 599
40.0%
Common
ValueCountFrequency (%)
* 470
39.7%
448
37.8%
, 92
 
7.8%
) 78
 
6.6%
( 78
 
6.6%
- 9
 
0.8%
1 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1498
55.8%
ASCII 1185
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 470
39.7%
448
37.8%
, 92
 
7.8%
) 78
 
6.6%
( 78
 
6.6%
- 9
 
0.8%
1 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
4 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
동 171
 
11.4%
강 90
 
6.0%
호 89
 
5.9%
구 87
 
5.8%
서 78
 
5.2%
울 77
 
5.1%
시 77
 
5.1%
별 77
 
5.1%
특 77
 
5.1%
로 76
 
5.1%
Other values (113) 599
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)77.1%
Missing49
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean9017.0571
Minimum5201
Maximum134857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:32.102422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5215.6
Q15247.5
median5335
Q35372
95-th percentile5400.7
Maximum134857
Range129656
Interquartile range (IQR)124.5

Descriptive statistics

Standard deviation21896.532
Coefficient of variation (CV)2.4283457
Kurtosis34.999397
Mean9017.0571
Median Absolute Deviation (MAD)38
Skewness5.9160055
Sum315597
Variance4.794581 × 108
MonotonicityNot monotonic
2024-05-11T02:29:32.560272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5373 3
 
3.6%
5372 3
 
3.6%
5328 2
 
2.4%
5355 2
 
2.4%
5247 2
 
2.4%
5353 2
 
2.4%
5267 1
 
1.2%
5330 1
 
1.2%
5238 1
 
1.2%
5242 1
 
1.2%
Other values (17) 17
 
20.2%
(Missing) 49
58.3%
ValueCountFrequency (%)
5201 1
1.2%
5210 1
1.2%
5218 1
1.2%
5236 1
1.2%
5238 1
1.2%
5239 1
1.2%
5242 1
1.2%
5247 2
2.4%
5248 1
1.2%
5267 1
1.2%
ValueCountFrequency (%)
134857 1
 
1.2%
5407 1
 
1.2%
5398 1
 
1.2%
5386 1
 
1.2%
5385 1
 
1.2%
5373 3
3.6%
5372 3
3.6%
5356 1
 
1.2%
5355 2
2.4%
5353 2
2.4%

사업장명
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-05-11T02:29:33.252933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length8.1904762
Min length3

Characters and Unicode

Total characters688
Distinct characters187
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

Unique82 ?
Unique (%)97.6%

Sample

1st row시보미디어
2nd row멀티시스템
3rd row명일산업
4th row펌프킨소프트(Pumpkinsoft)
5th row(주)지디온
ValueCountFrequency (%)
주식회사 13
 
11.8%
소프트 3
 
2.7%
주)센씨인모바일 2
 
1.8%
이디오 2
 
1.8%
미디어락시스템(주 1
 
0.9%
야자 1
 
0.9%
hama 1
 
0.9%
a.k 1
 
0.9%
와이에스엠(주 1
 
0.9%
벤포트 1
 
0.9%
Other values (84) 84
76.4%
2024-05-11T02:29:34.392438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 42
 
6.1%
( 35
 
5.1%
) 35
 
5.1%
이 27
 
3.9%
26
 
3.8%
트 22
 
3.2%
스 18
 
2.6%
디 16
 
2.3%
사 16
 
2.3%
프 15
 
2.2%
Other values (177) 436
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
72.1%
Lowercase Letter 51
 
7.4%
Uppercase Letter 37
 
5.4%
Open Punctuation 35
 
5.1%
Close Punctuation 35
 
5.1%
Space Separator 26
 
3.8%
Decimal Number 5
 
0.7%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
8.5%
이 27
 
5.4%
트 22
 
4.4%
스 18
 
3.6%
디 16
 
3.2%
사 16
 
3.2%
프 15
 
3.0%
회 15
 
3.0%
식 14
 
2.8%
소 13
 
2.6%
Other values (134) 298
60.1%
Uppercase Letter
ValueCountFrequency (%)
G 6
16.2%
E 4
10.8%
S 3
 
8.1%
T 3
 
8.1%
D 3
 
8.1%
A 3
 
8.1%
C 2
 
5.4%
M 2
 
5.4%
J 2
 
5.4%
H 1
 
2.7%
Other values (8) 8
21.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
17.6%
t 5
9.8%
m 5
9.8%
r 5
9.8%
a 5
9.8%
o 4
7.8%
n 4
7.8%
s 3
 
5.9%
i 3
 
5.9%
d 2
 
3.9%
Other values (5) 6
11.8%
Decimal Number
ValueCountFrequency (%)
3 1
20.0%
2 1
20.0%
1 1
20.0%
0 1
20.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
72.1%
Common 104
 
15.1%
Latin 88
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
8.5%
이 27
 
5.4%
트 22
 
4.4%
스 18
 
3.6%
디 16
 
3.2%
사 16
 
3.2%
프 15
 
3.0%
회 15
 
3.0%
식 14
 
2.8%
소 13
 
2.6%
Other values (134) 298
60.1%
Latin
ValueCountFrequency (%)
e 9
 
10.2%
G 6
 
6.8%
t 5
 
5.7%
m 5
 
5.7%
r 5
 
5.7%
a 5
 
5.7%
o 4
 
4.5%
n 4
 
4.5%
E 4
 
4.5%
S 3
 
3.4%
Other values (23) 38
43.2%
Common
ValueCountFrequency (%)
( 35
33.7%
) 35
33.7%
26
25.0%
. 2
 
1.9%
3 1
 
1.0%
2 1
 
1.0%
1 1
 
1.0%
0 1
 
1.0%
5 1
 
1.0%
& 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
72.1%
ASCII 192
 
27.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 42
 
8.5%
이 27
 
5.4%
트 22
 
4.4%
스 18
 
3.6%
디 16
 
3.2%
사 16
 
3.2%
프 15
 
3.0%
회 15
 
3.0%
식 14
 
2.8%
소 13
 
2.6%
Other values (134) 298
60.1%
ASCII
ValueCountFrequency (%)
( 35
18.2%
) 35
18.2%
26
13.5%
e 9
 
4.7%
G 6
 
3.1%
t 5
 
2.6%
m 5
 
2.6%
r 5
 
2.6%
a 5
 
2.6%
o 4
 
2.1%
Other values (33) 57
29.7%

최종수정일자
Date

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2006-03-15 15:26:29
Maximum2023-11-07 16:52:16
2024-05-11T02:29:34.938585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:29:35.359218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
I
78 
U
 
6

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 78
92.9%
U 6
 
7.1%

Length

2024-05-11T02:29:35.753816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:36.066030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
92.9%
u 6
 
7.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct20
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2018-08-31 23:59:59.0
65 
2020-05-16 02:40:00.0
 
1
2019-06-21 02:40:00.0
 
1
2022-11-01 00:09:00.0
 
1
2018-10-19 02:36:03.0
 
1
Other values (15)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique19 ?
Unique (%)22.6%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 65
77.4%
2020-05-16 02:40:00.0 1
 
1.2%
2019-06-21 02:40:00.0 1
 
1.2%
2022-11-01 00:09:00.0 1
 
1.2%
2018-10-19 02:36:03.0 1
 
1.2%
2019-01-26 02:21:01.0 1
 
1.2%
2019-03-01 02:21:54.0 1
 
1.2%
2022-12-04 00:02:00.0 1
 
1.2%
2020-03-28 00:23:21.0 1
 
1.2%
2020-03-29 00:23:21.0 1
 
1.2%
Other values (10) 10
 
11.9%

Length

2024-05-11T02:29:36.424961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 65
38.7%
23:59:59.0 65
38.7%
2022-12-04 3
 
1.8%
02:40:00.0 2
 
1.2%
00:23:21.0 2
 
1.2%
00:02:00.0 2
 
1.2%
2022-12-02 2
 
1.2%
2021-04-02 1
 
0.6%
2020-10-31 1
 
0.6%
00:23:09.0 1
 
0.6%
Other values (24) 24
 
14.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)92.2%
Missing7
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean211725.07
Minimum210661.88
Maximum215527.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:36.755084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210661.88
5-th percentile210690.46
Q1210935.04
median211401.33
Q3212214.01
95-th percentile213770.15
Maximum215527.72
Range4865.8458
Interquartile range (IQR)1278.971

Descriptive statistics

Standard deviation1072.6538
Coefficient of variation (CV)0.0050662579
Kurtosis3.9836029
Mean211725.07
Median Absolute Deviation (MAD)578.91842
Skewness1.8530541
Sum16302831
Variance1150586.2
MonotonicityNot monotonic
2024-05-11T02:29:37.069091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211055.486155787 3
 
3.6%
212162.262120416 2
 
2.4%
210690.463954338 2
 
2.4%
212214.00965854 2
 
2.4%
210935.038615054 2
 
2.4%
210750.209556247 1
 
1.2%
215527.721278 1
 
1.2%
211338.526335209 1
 
1.2%
211368.226711282 1
 
1.2%
212172.828537488 1
 
1.2%
Other values (61) 61
72.6%
(Missing) 7
 
8.3%
ValueCountFrequency (%)
210661.875484958 1
1.2%
210670.952245602 1
1.2%
210677.372118736 1
1.2%
210690.463954338 2
2.4%
210704.527278413 1
1.2%
210704.774772111 1
1.2%
210726.372421992 1
1.2%
210726.755874418 1
1.2%
210748.16254024 1
1.2%
210750.209556247 1
1.2%
ValueCountFrequency (%)
215527.721278 1
1.2%
215235.910911 1
1.2%
215144.766442481 1
1.2%
215072.488687068 1
1.2%
213444.564664263 1
1.2%
212983.465961032 1
1.2%
212873.537128941 1
1.2%
212785.236301062 1
1.2%
212754.293490392 1
1.2%
212684.984662576 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)92.2%
Missing7
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean448557.6
Minimum446866.14
Maximum452305.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:37.674266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446866.14
5-th percentile447046.58
Q1447784.08
median448500.56
Q3448964.25
95-th percentile450368.06
Maximum452305.72
Range5439.5868
Interquartile range (IQR)1180.176

Descriptive statistics

Standard deviation1108.7932
Coefficient of variation (CV)0.0024719081
Kurtosis1.840553
Mean448557.6
Median Absolute Deviation (MAD)678.86128
Skewness1.1124869
Sum34538935
Variance1229422.3
MonotonicityNot monotonic
2024-05-11T02:29:38.307012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448786.697371515 3
 
3.6%
448157.48577145 2
 
2.4%
448805.203743732 2
 
2.4%
447485.256687319 2
 
2.4%
448663.480515858 2
 
2.4%
448078.828745215 1
 
1.2%
452076.939632 1
 
1.2%
450163.935830643 1
 
1.2%
446866.136845151 1
 
1.2%
448321.330153611 1
 
1.2%
Other values (61) 61
72.6%
(Missing) 7
 
8.3%
ValueCountFrequency (%)
446866.136845151 1
1.2%
446881.574771537 1
1.2%
446899.812821946 1
1.2%
447009.221035868 1
1.2%
447055.923693449 1
1.2%
447125.42728615 1
1.2%
447381.53172133 1
1.2%
447391.440787021 1
1.2%
447393.918782281 1
1.2%
447428.794609384 1
1.2%
ValueCountFrequency (%)
452305.723682264 1
1.2%
452076.939632 1
1.2%
451415.098861 1
1.2%
450472.374955204 1
1.2%
450341.986233326 1
1.2%
450316.255472825 1
1.2%
450163.935830643 1
1.2%
449832.60584331 1
1.2%
449780.856326575 1
1.2%
449743.920049981 1
1.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
게임물제작업
76 
<NA>
8 

Length

Max length6
Median length6
Mean length5.8095238
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 76
90.5%
<NA> 8
 
9.5%

Length

2024-05-11T02:29:38.809426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:39.259360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 76
90.5%
na 8
 
9.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
유통관련업
76 
<NA>
8 

Length

Max length5
Median length5
Mean length4.9047619
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 76
90.5%
<NA> 8
 
9.5%

Length

2024-05-11T02:29:39.659412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:40.060179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 76
90.5%
na 8
 
9.5%

총층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)66.7%
Missing72
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean9.3333333
Minimum3
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:40.490681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.55
Q14
median6
Q314.25
95-th percentile21.4
Maximum28
Range25
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation7.5116072
Coefficient of variation (CV)0.80481505
Kurtosis2.385865
Mean9.3333333
Median Absolute Deviation (MAD)2
Skewness1.592437
Sum112
Variance56.424242
MonotonicityNot monotonic
2024-05-11T02:29:40.896985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 3
 
3.6%
7 2
 
2.4%
5 2
 
2.4%
14 1
 
1.2%
28 1
 
1.2%
15 1
 
1.2%
3 1
 
1.2%
16 1
 
1.2%
(Missing) 72
85.7%
ValueCountFrequency (%)
3 1
 
1.2%
4 3
3.6%
5 2
2.4%
7 2
2.4%
14 1
 
1.2%
15 1
 
1.2%
16 1
 
1.2%
28 1
 
1.2%
ValueCountFrequency (%)
28 1
 
1.2%
16 1
 
1.2%
15 1
 
1.2%
14 1
 
1.2%
7 2
2.4%
5 2
2.4%
4 3
3.6%
3 1
 
1.2%

주변환경명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
74 
기타
10 

Length

Max length4
Median length4
Mean length3.7619048
Min length2

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> 74
88.1%
기타 10
 
11.9%

Length

2024-05-11T02:29:41.425657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:41.914512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
88.1%
기타 10
 
11.9%

제작취급품목내용
Text

MISSING 

Distinct39
Distinct (%)75.0%
Missing32
Missing (%)38.1%
Memory size804.0 B
2024-05-11T02:29:42.454997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length13
Mean length8.3269231
Min length1

Characters and Unicode

Total characters433
Distinct characters88
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

Unique31 ?
Unique (%)59.6%

Sample

1st row소프트웨어
2nd row1
3rd row온라이PC게임물
4th rowPC및게임소프트웨어
5th row온라인게임물
ValueCountFrequency (%)
게임 12
 
13.0%
소프트웨어 10
 
10.9%
및 5
 
5.4%
모바일게임 4
 
4.3%
아케이드 3
 
3.3%
게임물 3
 
3.3%
온라인게임물 3
 
3.3%
스마트폰 2
 
2.2%
hp 2
 
2.2%
온라인게임 2
 
2.2%
Other values (43) 46
50.0%
2024-05-11T02:29:43.626392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 43
 
9.9%
임 43
 
9.9%
40
 
9.2%
트 16
 
3.7%
프 16
 
3.7%
소 15
 
3.5%
어 15
 
3.5%
웨 14
 
3.2%
이 11
 
2.5%
물 11
 
2.5%
Other values (78) 209
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
78.5%
Space Separator 40
 
9.2%
Uppercase Letter 23
 
5.3%
Other Punctuation 10
 
2.3%
Decimal Number 10
 
2.3%
Open Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%
Lowercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 43
 
12.6%
임 43
 
12.6%
트 16
 
4.7%
프 16
 
4.7%
소 15
 
4.4%
어 15
 
4.4%
웨 14
 
4.1%
이 11
 
3.2%
물 11
 
3.2%
인 9
 
2.6%
Other values (58) 147
43.2%
Uppercase Letter
ValueCountFrequency (%)
P 8
34.8%
C 6
26.1%
D 2
 
8.7%
H 2
 
8.7%
S 2
 
8.7%
L 1
 
4.3%
X 1
 
4.3%
N 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 3
30.0%
3 2
20.0%
1 2
20.0%
2 1
 
10.0%
7 1
 
10.0%
4 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
d 1
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
78.5%
Common 68
 
15.7%
Latin 25
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 43
 
12.6%
임 43
 
12.6%
트 16
 
4.7%
프 16
 
4.7%
소 15
 
4.4%
어 15
 
4.4%
웨 14
 
4.1%
이 11
 
3.2%
물 11
 
3.2%
인 9
 
2.6%
Other values (58) 147
43.2%
Common
ValueCountFrequency (%)
40
58.8%
, 10
 
14.7%
( 4
 
5.9%
) 4
 
5.9%
0 3
 
4.4%
3 2
 
2.9%
1 2
 
2.9%
2 1
 
1.5%
7 1
 
1.5%
4 1
 
1.5%
Latin
ValueCountFrequency (%)
P 8
32.0%
C 6
24.0%
D 2
 
8.0%
H 2
 
8.0%
S 2
 
8.0%
c 1
 
4.0%
d 1
 
4.0%
L 1
 
4.0%
X 1
 
4.0%
N 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
78.5%
ASCII 93
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 43
 
12.6%
임 43
 
12.6%
트 16
 
4.7%
프 16
 
4.7%
소 15
 
4.4%
어 15
 
4.4%
웨 14
 
4.1%
이 11
 
3.2%
물 11
 
3.2%
인 9
 
2.6%
Other values (58) 147
43.2%
ASCII
ValueCountFrequency (%)
40
43.0%
, 10
 
10.8%
P 8
 
8.6%
C 6
 
6.5%
( 4
 
4.3%
) 4
 
4.3%
0 3
 
3.2%
3 2
 
2.2%
D 2
 
2.2%
H 2
 
2.2%
Other values (10) 12
 
12.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)89.1%
Missing29
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean79.184545
Minimum0
Maximum364.08
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:44.205576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q129.62
median52.8
Q3101.5
95-th percentile231.617
Maximum364.08
Range364.08
Interquartile range (IQR)71.88

Descriptive statistics

Standard deviation77.286893
Coefficient of variation (CV)0.97603507
Kurtosis3.7756448
Mean79.184545
Median Absolute Deviation (MAD)30.3
Skewness1.8620475
Sum4355.15
Variance5973.2639
MonotonicityNot monotonic
2024-05-11T02:29:44.709760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.0 3
 
3.6%
208.31 2
 
2.4%
23.1 2
 
2.4%
66.0 2
 
2.4%
44.0 2
 
2.4%
30.65 1
 
1.2%
29.24 1
 
1.2%
69.03 1
 
1.2%
43.2 1
 
1.2%
61.27 1
 
1.2%
Other values (39) 39
46.4%
(Missing) 29
34.5%
ValueCountFrequency (%)
0.0 1
 
1.2%
1.0 3
3.6%
3.3 1
 
1.2%
9.0 1
 
1.2%
17.66 1
 
1.2%
19.8 1
 
1.2%
22.5 1
 
1.2%
23.1 2
2.4%
23.2 1
 
1.2%
28.0 1
 
1.2%
ValueCountFrequency (%)
364.08 1
1.2%
303.3 1
1.2%
286.0 1
1.2%
208.31 2
2.4%
169.0 1
1.2%
157.76 1
1.2%
150.0 1
1.2%
140.54 1
1.2%
133.97 1
1.2%
132.0 1
1.2%

지상층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)69.2%
Missing71
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean7.4615385
Minimum2
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T02:29:45.150165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.6
Q13
median6
Q310
95-th percentile17.6
Maximum23
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.9528058
Coefficient of variation (CV)0.79779872
Kurtosis2.9749909
Mean7.4615385
Median Absolute Deviation (MAD)3
Skewness1.7022129
Sum97
Variance35.435897
MonotonicityNot monotonic
2024-05-11T02:29:45.635188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 3
 
3.6%
6 3
 
3.6%
10 1
 
1.2%
23 1
 
1.2%
12 1
 
1.2%
2 1
 
1.2%
14 1
 
1.2%
4 1
 
1.2%
5 1
 
1.2%
(Missing) 71
84.5%
ValueCountFrequency (%)
2 1
 
1.2%
3 3
3.6%
4 1
 
1.2%
5 1
 
1.2%
6 3
3.6%
10 1
 
1.2%
12 1
 
1.2%
14 1
 
1.2%
23 1
 
1.2%
ValueCountFrequency (%)
23 1
 
1.2%
14 1
 
1.2%
12 1
 
1.2%
10 1
 
1.2%
6 3
3.6%
5 1
 
1.2%
4 1
 
1.2%
3 3
3.6%
2 1
 
1.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
71 
1
9 
4
 
1
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.5357143
Min length1

Unique

Unique4 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
84.5%
1 9
 
10.7%
4 1
 
1.2%
5 1
 
1.2%
3 1
 
1.2%
2 1
 
1.2%

Length

2024-05-11T02:29:46.054169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:46.504028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
84.5%
1 9
 
10.7%
4 1
 
1.2%
5 1
 
1.2%
3 1
 
1.2%
2 1
 
1.2%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
71 
근린생활시설
8 
사무실
 
3
다가구용 주택(공동주택적용)
 
1
단독주택
 
1

Length

Max length15
Median length4
Mean length4.2857143
Min length3

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
84.5%
근린생활시설 8
 
9.5%
사무실 3
 
3.6%
다가구용 주택(공동주택적용) 1
 
1.2%
단독주택 1
 
1.2%

Length

2024-05-11T02:29:46.936744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:47.376426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
83.5%
근린생활시설 8
 
9.4%
사무실 3
 
3.5%
다가구용 1
 
1.2%
주택(공동주택적용 1
 
1.2%
단독주택 1
 
1.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
73 
일반주거지역
 
7
일반상업지역
 
2
상업지역
 
2

Length

Max length6
Median length4
Mean length4.2142857
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> 73
86.9%
일반주거지역 7
 
8.3%
일반상업지역 2
 
2.4%
상업지역 2
 
2.4%

Length

2024-05-11T02:29:47.832566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:29:48.255736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
86.9%
일반주거지역 7
 
8.3%
일반상업지역 2
 
2.4%
상업지역 2
 
2.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF224108199900000119991206<NA>1영업/정상13영업중<NA><NA><NA><NA>3426-2929<NA>134830서울특별시 강동구 명일동 ***-*번지서울특별시 강동구 양재대로***길 ** (명일동)<NA>시보미디어2006-05-10 09:26:19I2018-08-31 23:59:59.0<NA>212785.236301449150.358975게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13240000CDFF224108200000000120000128<NA>1영업/정상13영업중<NA><NA><NA><NA>477-1181<NA>134885서울특별시 강동구 성내동 ***-**번지서울특별시 강동구 성안로*길 ** (성내동)<NA>멀티시스템2006-05-10 09:29:41I2018-08-31 23:59:59.0<NA>211327.404717447055.923693게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFF224108200000000220001010<NA>1영업/정상13영업중<NA><NA><NA><NA>442-4624<NA>134827서울특별시 강동구 명일동 ***-*번지서울특별시 강동구 동남로**길 ** (명일동)<NA>명일산업2006-05-10 09:32:34I2018-08-31 23:59:59.0<NA>213444.564664449522.924618게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFF224108200100000120010109<NA>1영업/정상13영업중<NA><NA><NA><NA>474-9530<NA>134822서울특별시 강동구 둔촌동 ***-*번지 *층<NA><NA>펌프킨소프트(Pumpkinsoft)2006-05-10 09:36:56I2018-08-31 23:59:59.0<NA><NA><NA>게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFF224108200100000220010131<NA>1영업/정상13영업중<NA><NA><NA><NA>476-0100<NA>134822서울특별시 강동구 둔촌동 ***-*번지 은호빌딩 *층<NA><NA>(주)지디온2006-05-10 09:42:08I2018-08-31 23:59:59.0<NA><NA><NA>게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFF224108200100000320010714<NA>1영업/정상13영업중<NA><NA><NA><NA>419-0114<NA>134873서울특별시 강동구 천호동 ***번지 동아코아빌딩 ***호서울특별시 강동구 구천면로 *** (천호동,동아코아빌딩 ***호)<NA>(주)사이버리아2006-05-10 09:45:16I2018-08-31 23:59:59.0<NA>211055.486156448786.697372게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFF224108200100000420010912<NA>1영업/정상13영업중<NA><NA><NA><NA>565-4292<NA>134885서울특별시 강동구 성내동 ***-*번지 성내빌딩 *층서울특별시 강동구 강동대로 *** (성내동,성내빌딩 *층)<NA>(주)진인소프트2006-05-10 09:54:31I2018-08-31 23:59:59.0<NA>211309.356542446899.812822게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73240000CDFF224108200100000520010925<NA>1영업/정상13영업중<NA><NA><NA><NA>489-0555<NA>134868서울특별시 강동구 천호동 ***-**번지 용강빌딩 *층서울특별시 강동구 구천면로 *** (천호동,용강빌딩 *층)<NA>(주)게임브로드밴드2006-05-10 09:57:57I2018-08-31 23:59:59.0<NA>210704.774772448909.290755게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83240000CDFF224108200100000620011208<NA>1영업/정상13영업중<NA><NA><NA><NA>470-1135<NA>134869서울특별시 강동구 천호동 ***번지 민호빌딩 *층서울특별시 강동구 올림픽로 *** (천호동,민호빌딩 *층)<NA>멀티화인테크(주)2006-05-10 10:02:06I2018-08-31 23:59:59.0<NA>211016.744215449029.359543게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFF224108200200000120020315<NA>1영업/정상13영업중<NA><NA><NA><NA>488-8514<NA>134890서울특별시 강동구 성내동 ***-**번지서울특별시 강동구 강동대로**길 ** (성내동)<NA>에이치디디브이디엔터테인먼트주식회사2008-10-16 17:09:10I2018-08-31 23:59:59.0<NA>211680.85376447125.427286게임물제작업유통관련업<NA><NA><NA><NA><NA><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
743240000CDFF224108202000000320200717<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-* 강동 롯데캐슬퍼스트아파트 ***동 ***호서울특별시 강동구 고덕로 ***, ***동 ***호 (암사동, 강동 롯데캐슬퍼스트아파트)5236주식회사 블루버드홀딩스2020-07-17 09:35:35I2020-07-19 00:23:15.0<NA>212480.463676450472.374955게임물제작업유통관련업<NA><NA>스포츠SNS플랫폼133.97<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753240000CDFF224108202000000420200810<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-*서울특별시 강동구 천호대로 ****, *층 ****호 (성내동)5373주식회사 123스포츠2020-08-10 15:16:46I2020-08-12 00:23:31.0<NA>211966.759282448015.084774게임물제작업유통관련업<NA><NA>스포츠게임364.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763240000CDFF224108202000000620201029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 *** 강동리버스트*단지 ***동 ****호서울특별시 강동구 아리수로**가길 ***, ***동 ****호 (강일동, 강동리버스트*단지)5201블루조이(BLUE JOY)2020-10-29 10:03:33I2020-10-31 00:23:09.0<NA>215144.766442452305.723682게임물제작업유통관련업<NA><NA>모바일게임49.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773240000CDFF224108202100000120210331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-**서울특별시 강동구 올림픽로**길 **-*, ***호 (암사동)5242하나소프트2021-03-31 13:15:22I2021-04-02 00:22:59.0<NA>211037.277006449743.92005게임물제작업유통관련업<NA><NA>게임112.0<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>
783240000CDFF224108202200000120221213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 441-10 정산아파트서울특별시 강동구 고덕로 47, 3층 301-171호 (암사동, 정산아파트)5238CodeGears2022-12-13 17:58:16I2021-11-01 23:05:00.0<NA>211458.648093450316.255473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793240000CDFF22410820230000012023-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 ***-* 한솔파로스아파트 ***호서울특별시 강동구 풍성로**길 **, ***호 (둔촌동, 한솔파로스아파트)5372김유석2023-01-31 16:06:05I2022-12-02 00:02:00.0<NA>212230.078849447560.633677<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803240000CDFF22410820230000022023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-*서울특별시 강동구 구천면로**길 **, *층 (천호동)5330앨리스2023-03-21 09:32:41I2022-12-02 22:03:00.0<NA>211627.267584448941.784667<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813240000CDFF22410820230000032023-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1522-3601<NA><NA>서울특별시 강동구 길동 ***-* 동우빌딩 *층서울특별시 강동구 양재대로 ****, 동우빌딩 *층 (길동)5355(주)아이써치마케팅2023-04-05 10:30:40I2022-12-04 00:07:00.0<NA>212175.140084448084.797485<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823240000CDFF22410820230000042023-04-13<NA>5제외/삭제/전출15전출2023-05-26<NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 ***-** ***호서울특별시 강동구 구천면로 ***-*, ***호 (명일동)5267에브나게임즈2023-05-26 09:11:38U2022-12-04 22:08:00.0<NA>212873.537129449832.605843<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833240000CDFF22410820230000052023-07-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-**서울특별시 강동구 구천면로**길 **, *층 (천호동)5247티에스씨2023-07-14 15:28:00U2022-12-06 23:07:00.0<NA>210690.463954448805.203744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>