Overview

Dataset statistics

Number of variables56
Number of observations448
Missing cells11810
Missing cells (%)47.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory212.8 KiB
Average record size in memory486.3 B

Variable types

Categorical16
Text6
DateTime4
Unsupported22
Numeric8

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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16707/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (76.4%)Imbalance
건물용도명 is highly imbalanced (77.2%)Imbalance
통로너비 is highly imbalanced (88.4%)Imbalance
조명시설조도 is highly imbalanced (88.4%)Imbalance
노래방실수 is highly imbalanced (88.4%)Imbalance
청소년실수 is highly imbalanced (88.4%)Imbalance
총게임기수 is highly imbalanced (88.4%)Imbalance
지역구분명 is highly imbalanced (70.6%)Imbalance
인허가취소일자 has 448 (100.0%) missing valuesMissing
폐업일자 has 327 (73.0%) missing valuesMissing
휴업시작일자 has 448 (100.0%) missing valuesMissing
휴업종료일자 has 448 (100.0%) missing valuesMissing
재개업일자 has 448 (100.0%) missing valuesMissing
전화번호 has 209 (46.7%) missing valuesMissing
소재지면적 has 448 (100.0%) missing valuesMissing
소재지우편번호 has 346 (77.2%) missing valuesMissing
도로명주소 has 7 (1.6%) missing valuesMissing
도로명우편번호 has 45 (10.0%) missing valuesMissing
업태구분명 has 448 (100.0%) missing valuesMissing
좌표정보(X) has 5 (1.1%) missing valuesMissing
좌표정보(Y) has 5 (1.1%) missing valuesMissing
총층수 has 238 (53.1%) missing valuesMissing
제작취급품목내용 has 119 (26.6%) missing valuesMissing
시설면적 has 128 (28.6%) missing valuesMissing
지상층수 has 215 (48.0%) missing valuesMissing
지하층수 has 310 (69.2%) missing valuesMissing
비상계단여부 has 448 (100.0%) missing valuesMissing
비상구여부 has 448 (100.0%) missing valuesMissing
자동환기여부 has 448 (100.0%) missing valuesMissing
청소년실여부 has 448 (100.0%) missing valuesMissing
특수조명여부 has 448 (100.0%) missing valuesMissing
방음시설여부 has 448 (100.0%) missing valuesMissing
비디오재생기명 has 448 (100.0%) missing valuesMissing
조명시설유무 has 448 (100.0%) missing valuesMissing
음향시설여부 has 448 (100.0%) missing valuesMissing
편의시설여부 has 448 (100.0%) missing valuesMissing
소방시설여부 has 448 (100.0%) missing valuesMissing
기존게임업외업종명 has 448 (100.0%) missing valuesMissing
제공게임물명 has 448 (100.0%) missing valuesMissing
공연장형태구분명 has 448 (100.0%) missing valuesMissing
품목명 has 448 (100.0%) missing valuesMissing
최초등록시점 has 448 (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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 6 (1.3%) zerosZeros
시설면적 has 7 (1.6%) zerosZeros
지상층수 has 6 (1.3%) zerosZeros
지하층수 has 7 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:29:23.983620
Analysis finished2024-05-11 06:29:25.325838
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3160000
448 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 448
100.0%

Length

2024-05-11T15:29:25.401386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:25.538873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 448
100.0%

관리번호
Text

UNIQUE 

Distinct448
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T15:29:25.757215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8960
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

Unique448 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000002
3rd rowCDFF2241081999000003
4th rowCDFF2241081999000004
5th rowCDFF2241082000000001
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.2%
cdff2241081999000002 1
 
0.2%
cdff2241082014000045 1
 
0.2%
cdff2241082014000043 1
 
0.2%
cdff2241082014000041 1
 
0.2%
cdff2241082014000040 1
 
0.2%
cdff2241082014000039 1
 
0.2%
cdff2241082014000038 1
 
0.2%
cdff2241082014000037 1
 
0.2%
cdff2241082014000036 1
 
0.2%
Other values (438) 438
97.8%
2024-05-11T15:29:26.265783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3094
34.5%
2 1564
17.5%
1 930
 
10.4%
F 896
 
10.0%
4 584
 
6.5%
8 515
 
5.7%
C 448
 
5.0%
D 448
 
5.0%
3 143
 
1.6%
6 92
 
1.0%
Other values (3) 246
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7168
80.0%
Uppercase Letter 1792
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3094
43.2%
2 1564
21.8%
1 930
 
13.0%
4 584
 
8.1%
8 515
 
7.2%
3 143
 
2.0%
6 92
 
1.3%
5 90
 
1.3%
7 80
 
1.1%
9 76
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 896
50.0%
C 448
25.0%
D 448
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7168
80.0%
Latin 1792
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3094
43.2%
2 1564
21.8%
1 930
 
13.0%
4 584
 
8.1%
8 515
 
7.2%
3 143
 
2.0%
6 92
 
1.3%
5 90
 
1.3%
7 80
 
1.1%
9 76
 
1.1%
Latin
ValueCountFrequency (%)
F 896
50.0%
C 448
25.0%
D 448
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3094
34.5%
2 1564
17.5%
1 930
 
10.4%
F 896
 
10.0%
4 584
 
6.5%
8 515
 
5.7%
C 448
 
5.0%
D 448
 
5.0%
3 143
 
1.6%
6 92
 
1.0%
Other values (3) 246
 
2.7%

인허가일자
Date

Distinct418
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1999-06-03 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T15:29:26.527439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:26.789907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
1
326 
3
110 
5
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 326
72.8%
3 110
 
24.6%
5 12
 
2.7%

Length

2024-05-11T15:29:27.020334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:27.186039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 326
72.8%
3 110
 
24.6%
5 12
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영업/정상
326 
폐업
110 
제외/삭제/전출
 
12

Length

Max length8
Median length5
Mean length4.34375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 326
72.8%
폐업 110
 
24.6%
제외/삭제/전출 12
 
2.7%

Length

2024-05-11T15:29:27.376612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:27.599535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 326
72.8%
폐업 110
 
24.6%
제외/삭제/전출 12
 
2.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
13
326 
3
110 
15
 
12

Length

Max length2
Median length2
Mean length1.7544643
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 326
72.8%
3 110
 
24.6%
15 12
 
2.7%

Length

2024-05-11T15:29:27.813309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:28.022085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 326
72.8%
3 110
 
24.6%
15 12
 
2.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영업중
326 
폐업
110 
전출
 
12

Length

Max length3
Median length3
Mean length2.7276786
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 326
72.8%
폐업 110
 
24.6%
전출 12
 
2.7%

Length

2024-05-11T15:29:28.235486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:28.444096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 326
72.8%
폐업 110
 
24.6%
전출 12
 
2.7%

폐업일자
Date

MISSING 

Distinct113
Distinct (%)93.4%
Missing327
Missing (%)73.0%
Memory size3.6 KiB
Minimum2006-04-10 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T15:29:28.639200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:28.913854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

전화번호
Text

MISSING 

Distinct232
Distinct (%)97.1%
Missing209
Missing (%)46.7%
Memory size3.6 KiB
2024-05-11T15:29:29.345856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.707113
Min length7

Characters and Unicode

Total characters2559
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)94.1%

Sample

1st row02-2108-7805
2nd row02-2025-2706
3rd row2637-4863
4th row2637-2079
5th row2025-7272
ValueCountFrequency (%)
070-7600-6158 2
 
0.8%
02-869-1222 2
 
0.8%
02-2677-0701 2
 
0.8%
02-2065-6641 2
 
0.8%
02-704-2585 2
 
0.8%
02-878-2555 2
 
0.8%
02-478-0920 2
 
0.8%
070-4632-5566 1
 
0.4%
070-4806-9777 1
 
0.4%
02-823-5090 1
 
0.4%
Other values (222) 222
92.9%
2024-05-11T15:29:30.107124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 437
17.1%
2 395
15.4%
- 381
14.9%
7 208
8.1%
6 195
7.6%
8 192
7.5%
5 189
7.4%
3 174
 
6.8%
1 158
 
6.2%
4 121
 
4.7%
Other values (2) 109
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2177
85.1%
Dash Punctuation 381
 
14.9%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 437
20.1%
2 395
18.1%
7 208
9.6%
6 195
9.0%
8 192
8.8%
5 189
8.7%
3 174
 
8.0%
1 158
 
7.3%
4 121
 
5.6%
9 108
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 381
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2559
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 437
17.1%
2 395
15.4%
- 381
14.9%
7 208
8.1%
6 195
7.6%
8 192
7.5%
5 189
7.4%
3 174
 
6.8%
1 158
 
6.2%
4 121
 
4.7%
Other values (2) 109
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 437
17.1%
2 395
15.4%
- 381
14.9%
7 208
8.1%
6 195
7.6%
8 192
7.5%
5 189
7.4%
3 174
 
6.8%
1 158
 
6.2%
4 121
 
4.7%
Other values (2) 109
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)26.5%
Missing346
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean152839.46
Minimum152705
Maximum152906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:30.407068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152705
5-th percentile152759.3
Q1152847
median152848
Q3152848
95-th percentile152878
Maximum152906
Range201
Interquartile range (IQR)1

Descriptive statistics

Standard deviation35.916479
Coefficient of variation (CV)0.00023499481
Kurtosis4.7594043
Mean152839.46
Median Absolute Deviation (MAD)0.5
Skewness-2.0264112
Sum15589625
Variance1289.9935
MonotonicityNot monotonic
2024-05-11T15:29:30.674723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
152848 51
 
11.4%
152847 11
 
2.5%
152878 6
 
1.3%
152759 2
 
0.4%
152720 2
 
0.4%
152843 2
 
0.4%
152770 2
 
0.4%
152842 2
 
0.4%
152800 2
 
0.4%
152814 2
 
0.4%
Other values (17) 20
 
4.5%
(Missing) 346
77.2%
ValueCountFrequency (%)
152705 1
0.2%
152710 1
0.2%
152720 2
0.4%
152759 2
0.4%
152765 1
0.2%
152770 2
0.4%
152800 2
0.4%
152801 1
0.2%
152803 2
0.4%
152813 1
0.2%
ValueCountFrequency (%)
152906 1
 
0.2%
152894 1
 
0.2%
152887 1
 
0.2%
152886 1
 
0.2%
152878 6
1.3%
152873 1
 
0.2%
152868 1
 
0.2%
152866 1
 
0.2%
152865 2
 
0.4%
152860 1
 
0.2%

지번주소
Text

Distinct279
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T15:29:31.045308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length45
Mean length34.642857
Min length19

Characters and Unicode

Total characters15520
Distinct characters220
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)46.0%

Sample

1st row서울특별시 구로구 개봉동 ***-*번지 ***호
2nd row서울특별시 구로구 구로동 ***번지 한신IT타워 ****호
3rd row서울특별시 구로구 구로동 ***-**번지 코오롱싸이언스밸리*차 ***호
4th row서울특별시 구로구 신도림동 ***-***번지
5th row서울특별시 구로구 구로동 ***-*번지 우성빌딩
ValueCountFrequency (%)
서울특별시 446
16.8%
구로구 446
16.8%
구로동 409
15.4%
번지 353
13.3%
호 327
12.3%
91
 
3.4%
대륭포스트타워*차 55
 
2.1%
층 49
 
1.8%
에이스테크노타워*차 32
 
1.2%
동 21
 
0.8%
Other values (174) 427
16.1%
2024-05-11T15:29:31.765610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3408
22.0%
2307
14.9%
구 1310
 
8.4%
로 863
 
5.6%
동 482
 
3.1%
지 467
 
3.0%
시 452
 
2.9%
서 449
 
2.9%
울 449
 
2.9%
특 446
 
2.9%
Other values (210) 4887
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9183
59.2%
Other Punctuation 3432
 
22.1%
Space Separator 2307
 
14.9%
Dash Punctuation 408
 
2.6%
Uppercase Letter 124
 
0.8%
Lowercase Letter 27
 
0.2%
Decimal Number 16
 
0.1%
Math Symbol 7
 
< 0.1%
Letter Number 6
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1310
 
14.3%
로 863
 
9.4%
동 482
 
5.2%
지 467
 
5.1%
시 452
 
4.9%
서 449
 
4.9%
울 449
 
4.9%
특 446
 
4.9%
별 446
 
4.9%
번 353
 
3.8%
Other values (159) 3466
37.7%
Uppercase Letter
ValueCountFrequency (%)
B 15
12.1%
S 14
11.3%
K 11
8.9%
A 10
8.1%
E 9
7.3%
R 9
7.3%
G 9
7.3%
T 9
7.3%
Q 8
 
6.5%
U 8
 
6.5%
Other values (8) 22
17.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
25.9%
k 3
11.1%
n 3
11.1%
j 2
 
7.4%
r 2
 
7.4%
s 2
 
7.4%
w 1
 
3.7%
c 1
 
3.7%
a 1
 
3.7%
p 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
9 3
18.8%
6 2
12.5%
0 2
12.5%
8 2
12.5%
3 1
 
6.2%
4 1
 
6.2%
7 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 3408
99.3%
, 22
 
0.6%
@ 1
 
< 0.1%
. 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
66.7%
Ⅱ 2
33.3%
Space Separator
ValueCountFrequency (%)
2307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 408
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9183
59.2%
Common 6180
39.8%
Latin 157
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1310
 
14.3%
로 863
 
9.4%
동 482
 
5.2%
지 467
 
5.1%
시 452
 
4.9%
서 449
 
4.9%
울 449
 
4.9%
특 446
 
4.9%
별 446
 
4.9%
번 353
 
3.8%
Other values (159) 3466
37.7%
Latin
ValueCountFrequency (%)
B 15
 
9.6%
S 14
 
8.9%
K 11
 
7.0%
A 10
 
6.4%
E 9
 
5.7%
R 9
 
5.7%
G 9
 
5.7%
T 9
 
5.7%
Q 8
 
5.1%
U 8
 
5.1%
Other values (24) 55
35.0%
Common
ValueCountFrequency (%)
* 3408
55.1%
2307
37.3%
- 408
 
6.6%
, 22
 
0.4%
~ 7
 
0.1%
( 5
 
0.1%
) 5
 
0.1%
1 4
 
0.1%
9 3
 
< 0.1%
6 2
 
< 0.1%
Other values (7) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9183
59.2%
ASCII 6331
40.8%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3408
53.8%
2307
36.4%
- 408
 
6.4%
, 22
 
0.3%
B 15
 
0.2%
S 14
 
0.2%
K 11
 
0.2%
A 10
 
0.2%
E 9
 
0.1%
R 9
 
0.1%
Other values (39) 118
 
1.9%
Hangul
ValueCountFrequency (%)
구 1310
 
14.3%
로 863
 
9.4%
동 482
 
5.2%
지 467
 
5.1%
시 452
 
4.9%
서 449
 
4.9%
울 449
 
4.9%
특 446
 
4.9%
별 446
 
4.9%
번 353
 
3.8%
Other values (159) 3466
37.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
66.7%
Ⅱ 2
33.3%

도로명주소
Text

MISSING 

Distinct347
Distinct (%)78.7%
Missing7
Missing (%)1.6%
Memory size3.6 KiB
2024-05-11T15:29:32.220007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length42.492063
Min length24

Characters and Unicode

Total characters18739
Distinct characters228
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)65.8%

Sample

1st row서울특별시 구로구 개봉로**나길 **, ***호 (개봉동)
2nd row서울특별시 구로구 디지털로 ***, ****호 (구로동,한신IT타워)
3rd row서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱싸이언스밸리*차)
4th row서울특별시 구로구 디지털로**길 **, ***호 (구로동,에이스테크노타워 *차)
5th row서울특별시 구로구 고척로**가길 * (개봉동)
ValueCountFrequency (%)
459
14.7%
서울특별시 439
14.0%
구로구 439
14.0%
구로동 338
10.8%
호 330
10.6%
디지털로**길 229
7.3%
층 149
 
4.8%
디지털로 106
 
3.4%
대륭포스트타워*차 40
 
1.3%
에이스테크노타워*차 25
 
0.8%
Other values (250) 571
18.3%
2024-05-11T15:29:32.960822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3352
17.9%
2818
15.0%
구 1388
 
7.4%
로 1381
 
7.4%
, 712
 
3.8%
동 561
 
3.0%
지 457
 
2.4%
시 447
 
2.4%
( 445
 
2.4%
) 445
 
2.4%
Other values (218) 6733
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10705
57.1%
Other Punctuation 4066
 
21.7%
Space Separator 2818
 
15.0%
Open Punctuation 445
 
2.4%
Close Punctuation 445
 
2.4%
Uppercase Letter 123
 
0.7%
Dash Punctuation 72
 
0.4%
Lowercase Letter 28
 
0.1%
Decimal Number 19
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1388
 
13.0%
로 1381
 
12.9%
동 561
 
5.2%
지 457
 
4.3%
시 447
 
4.2%
서 444
 
4.1%
울 442
 
4.1%
별 439
 
4.1%
특 439
 
4.1%
디 404
 
3.8%
Other values (166) 4303
40.2%
Uppercase Letter
ValueCountFrequency (%)
B 14
11.4%
S 13
10.6%
A 11
8.9%
K 10
8.1%
R 10
8.1%
G 9
7.3%
E 9
7.3%
T 9
7.3%
U 8
 
6.5%
Q 8
 
6.5%
Other values (8) 22
17.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
25.0%
n 3
10.7%
k 3
10.7%
s 2
 
7.1%
j 2
 
7.1%
r 2
 
7.1%
w 1
 
3.6%
o 1
 
3.6%
p 1
 
3.6%
i 1
 
3.6%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
1 4
21.1%
5 3
15.8%
3 3
15.8%
8 3
15.8%
0 2
10.5%
6 2
10.5%
7 1
 
5.3%
2 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 3352
82.4%
, 712
 
17.5%
! 1
 
< 0.1%
. 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 6
66.7%
Ⅱ 3
33.3%
Space Separator
ValueCountFrequency (%)
2818
100.0%
Open Punctuation
ValueCountFrequency (%)
( 445
100.0%
Close Punctuation
ValueCountFrequency (%)
) 445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10705
57.1%
Common 7874
42.0%
Latin 160
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1388
 
13.0%
로 1381
 
12.9%
동 561
 
5.2%
지 457
 
4.3%
시 447
 
4.2%
서 444
 
4.1%
울 442
 
4.1%
별 439
 
4.1%
특 439
 
4.1%
디 404
 
3.8%
Other values (166) 4303
40.2%
Latin
ValueCountFrequency (%)
B 14
 
8.8%
S 13
 
8.1%
A 11
 
6.9%
K 10
 
6.2%
R 10
 
6.2%
G 9
 
5.6%
E 9
 
5.6%
T 9
 
5.6%
U 8
 
5.0%
Q 8
 
5.0%
Other values (25) 59
36.9%
Common
ValueCountFrequency (%)
* 3352
42.6%
2818
35.8%
, 712
 
9.0%
( 445
 
5.7%
) 445
 
5.7%
- 72
 
0.9%
~ 9
 
0.1%
1 4
 
0.1%
5 3
 
< 0.1%
3 3
 
< 0.1%
Other values (7) 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10705
57.1%
ASCII 8025
42.8%
Number Forms 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3352
41.8%
2818
35.1%
, 712
 
8.9%
( 445
 
5.5%
) 445
 
5.5%
- 72
 
0.9%
B 14
 
0.2%
S 13
 
0.2%
A 11
 
0.1%
K 10
 
0.1%
Other values (40) 133
 
1.7%
Hangul
ValueCountFrequency (%)
구 1388
 
13.0%
로 1381
 
12.9%
동 561
 
5.2%
지 457
 
4.3%
시 447
 
4.2%
서 444
 
4.1%
울 442
 
4.1%
별 439
 
4.1%
특 439
 
4.1%
디 404
 
3.8%
Other values (166) 4303
40.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 6
66.7%
Ⅱ 3
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)17.1%
Missing45
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean15091.841
Minimum8201
Maximum402835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:33.201759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8201
5-th percentile8260.2
Q18377
median8380
Q38389
95-th percentile8393
Maximum402835
Range394634
Interquartile range (IQR)12

Descriptive statistics

Standard deviation34236.109
Coefficient of variation (CV)2.2685177
Kurtosis49.096278
Mean15091.841
Median Absolute Deviation (MAD)5
Skewness6.2274068
Sum6082012
Variance1.1721112 × 109
MonotonicityNot monotonic
2024-05-11T15:29:33.464369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8390 55
12.3%
8381 51
11.4%
8378 49
10.9%
8377 34
 
7.6%
8389 31
 
6.9%
8380 29
 
6.5%
8379 18
 
4.0%
8375 16
 
3.6%
8393 14
 
3.1%
8376 8
 
1.8%
Other values (59) 98
21.9%
(Missing) 45
10.0%
ValueCountFrequency (%)
8201 1
 
0.2%
8207 1
 
0.2%
8208 4
0.9%
8209 1
 
0.2%
8213 1
 
0.2%
8215 2
0.4%
8216 3
0.7%
8233 1
 
0.2%
8249 1
 
0.2%
8252 2
0.4%
ValueCountFrequency (%)
402835 1
 
0.2%
152887 1
 
0.2%
152880 1
 
0.2%
152848 4
0.9%
152843 1
 
0.2%
152789 1
 
0.2%
152779 2
0.4%
152775 1
 
0.2%
152766 1
 
0.2%
152728 1
 
0.2%

사업장명
Text

Distinct442
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T15:29:33.900442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length8.2522321
Min length2

Characters and Unicode

Total characters3697
Distinct characters367
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)97.3%

Sample

1st rowGAME STUDIO(게임스튜디오)
2nd row(주)시멘텍
3rd row(주)넷돌
4th row선우엔터테인먼트
5th rowJUN CORPORATION
ValueCountFrequency (%)
주식회사 63
 
11.7%
스튜디오 4
 
0.7%
게임즈 3
 
0.6%
주)위고인터랙티브 2
 
0.4%
선우엔터테인먼트 2
 
0.4%
주)아트림미디어 2
 
0.4%
주)오픈마인드월드 2
 
0.4%
주)아이몹 2
 
0.4%
참소프트 2
 
0.4%
game 2
 
0.4%
Other values (451) 453
84.4%
2024-05-11T15:29:34.563972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 348
 
9.4%
) 292
 
7.9%
( 290
 
7.8%
이 130
 
3.5%
트 128
 
3.5%
스 124
 
3.4%
89
 
2.4%
프 85
 
2.3%
소 69
 
1.9%
사 68
 
1.8%
Other values (357) 2074
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2883
78.0%
Close Punctuation 292
 
7.9%
Open Punctuation 290
 
7.8%
Space Separator 89
 
2.4%
Uppercase Letter 89
 
2.4%
Lowercase Letter 37
 
1.0%
Decimal Number 8
 
0.2%
Other Punctuation 7
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 348
 
12.1%
이 130
 
4.5%
트 128
 
4.4%
스 124
 
4.3%
프 85
 
2.9%
소 69
 
2.4%
사 68
 
2.4%
회 64
 
2.2%
식 64
 
2.2%
게 60
 
2.1%
Other values (306) 1743
60.5%
Uppercase Letter
ValueCountFrequency (%)
P 10
 
11.2%
O 8
 
9.0%
R 7
 
7.9%
A 7
 
7.9%
T 7
 
7.9%
C 6
 
6.7%
E 5
 
5.6%
I 5
 
5.6%
N 5
 
5.6%
G 4
 
4.5%
Other values (12) 25
28.1%
Lowercase Letter
ValueCountFrequency (%)
o 7
18.9%
e 6
16.2%
l 4
10.8%
a 3
8.1%
s 2
 
5.4%
m 2
 
5.4%
t 2
 
5.4%
p 2
 
5.4%
n 2
 
5.4%
d 1
 
2.7%
Other values (6) 6
16.2%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
4 2
25.0%
1 2
25.0%
9 1
12.5%
5 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
& 2
28.6%
, 1
 
14.3%
? 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 290
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2883
78.0%
Common 688
 
18.6%
Latin 126
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 348
 
12.1%
이 130
 
4.5%
트 128
 
4.4%
스 124
 
4.3%
프 85
 
2.9%
소 69
 
2.4%
사 68
 
2.4%
회 64
 
2.2%
식 64
 
2.2%
게 60
 
2.1%
Other values (306) 1743
60.5%
Latin
ValueCountFrequency (%)
P 10
 
7.9%
O 8
 
6.3%
o 7
 
5.6%
R 7
 
5.6%
A 7
 
5.6%
T 7
 
5.6%
e 6
 
4.8%
C 6
 
4.8%
E 5
 
4.0%
I 5
 
4.0%
Other values (28) 58
46.0%
Common
ValueCountFrequency (%)
) 292
42.4%
( 290
42.2%
89
 
12.9%
. 3
 
0.4%
- 2
 
0.3%
2 2
 
0.3%
4 2
 
0.3%
& 2
 
0.3%
1 2
 
0.3%
9 1
 
0.1%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2883
78.0%
ASCII 814
 
22.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 348
 
12.1%
이 130
 
4.5%
트 128
 
4.4%
스 124
 
4.3%
프 85
 
2.9%
소 69
 
2.4%
사 68
 
2.4%
회 64
 
2.2%
식 64
 
2.2%
게 60
 
2.1%
Other values (306) 1743
60.5%
ASCII
ValueCountFrequency (%)
) 292
35.9%
( 290
35.6%
89
 
10.9%
P 10
 
1.2%
O 8
 
1.0%
o 7
 
0.9%
R 7
 
0.9%
A 7
 
0.9%
T 7
 
0.9%
e 6
 
0.7%
Other values (41) 91
 
11.2%

최종수정일자
Date

UNIQUE 

Distinct448
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2006-02-14 14:11:04
Maximum2024-05-09 09:44:09
2024-05-11T15:29:34.829332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:35.156018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
367 
U
81 

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 367
81.9%
U 81
 
18.1%

Length

2024-05-11T15:29:35.390366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:35.557683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 367
81.9%
u 81
 
18.1%

데이터갱신일자
Date

Distinct118
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:29:35.711906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:36.610208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)26.4%
Missing5
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean190288.85
Minimum181280.87
Maximum191044.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:36.948050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181280.87
5-th percentile187419.72
Q1190423.22
median190609.41
Q3190743.36
95-th percentile191002.24
Maximum191044.86
Range9763.9992
Interquartile range (IQR)320.14358

Descriptive statistics

Standard deviation1185.7406
Coefficient of variation (CV)0.0062312668
Kurtosis16.937977
Mean190288.85
Median Absolute Deviation (MAD)167.05487
Skewness-3.891857
Sum84297960
Variance1405980.7
MonotonicityNot monotonic
2024-05-11T15:29:37.182206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190680.536850936 25
 
5.6%
191020.264430044 21
 
4.7%
190779.824680954 18
 
4.0%
190776.468544178 16
 
3.6%
190845.231594802 14
 
3.1%
190671.436719919 14
 
3.1%
190528.450104488 13
 
2.9%
190594.904645635 12
 
2.7%
190688.747501289 12
 
2.7%
190609.413674522 12
 
2.7%
Other values (107) 286
63.8%
ValueCountFrequency (%)
181280.865658 1
0.2%
183748.774951501 1
0.2%
184290.893400642 1
0.2%
184941.706201411 2
0.4%
184963.245836701 1
0.2%
185106.095729182 1
0.2%
185311.370050289 1
0.2%
185354.913509222 1
0.2%
185644.940074 1
0.2%
185664.265863076 1
0.2%
ValueCountFrequency (%)
191044.864874962 1
 
0.2%
191020.264430044 21
4.7%
191002.243483409 4
 
0.9%
190980.657371441 6
 
1.3%
190967.257864999 2
 
0.4%
190960.893074716 1
 
0.2%
190951.334281004 1
 
0.2%
190919.498006713 6
 
1.3%
190887.117653337 3
 
0.7%
190875.226997905 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)26.4%
Missing5
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean442813.45
Minimum441880.75
Maximum445650.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:37.470516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441880.75
5-th percentile442156.65
Q1442370.14
median442547.69
Q3442751.42
95-th percentile444713.35
Maximum445650.18
Range3769.4385
Interquartile range (IQR)381.27584

Descriptive statistics

Standard deviation760.64851
Coefficient of variation (CV)0.0017177629
Kurtosis2.1490022
Mean442813.45
Median Absolute Deviation (MAD)177.5463
Skewness1.7558452
Sum1.9616636 × 108
Variance578586.16
MonotonicityNot monotonic
2024-05-11T15:29:37.764792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442392.645303533 25
 
5.6%
442460.919021593 21
 
4.7%
442527.527966789 18
 
4.0%
442370.143700207 16
 
3.6%
442639.420821243 14
 
3.1%
442219.137493629 14
 
3.1%
442352.770364667 13
 
2.9%
442261.654499191 12
 
2.7%
442618.785745098 12
 
2.7%
442782.030555155 12
 
2.7%
Other values (107) 286
63.8%
ValueCountFrequency (%)
441880.745508083 1
 
0.2%
441918.853136538 1
 
0.2%
441973.603139541 9
2.0%
442006.653390069 1
 
0.2%
442062.331542356 4
0.9%
442071.447779897 1
 
0.2%
442113.916061607 2
 
0.4%
442154.992807483 4
0.9%
442171.600787264 1
 
0.2%
442203.137447127 1
 
0.2%
ValueCountFrequency (%)
445650.183972882 1
 
0.2%
445265.191940304 1
 
0.2%
445250.538868558 4
0.9%
445157.626366229 1
 
0.2%
445111.26611378 1
 
0.2%
444978.682746138 3
0.7%
444879.272777977 1
 
0.2%
444836.673561831 4
0.9%
444822.310112893 1
 
0.2%
444800.352870029 1
 
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
게임물제작업
388 
<NA>
60 

Length

Max length6
Median length6
Mean length5.7321429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 388
86.6%
<NA> 60
 
13.4%

Length

2024-05-11T15:29:38.001008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:38.188085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 388
86.6%
na 60
 
13.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
유통관련업
388 
<NA>
60 

Length

Max length5
Median length5
Mean length4.8660714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 388
86.6%
<NA> 60
 
13.4%

Length

2024-05-11T15:29:38.395151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:38.605346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 388
86.6%
na 60
 
13.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)13.3%
Missing238
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean14.652381
Minimum0
Maximum39
Zeros6
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:38.818517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median15
Q317
95-th percentile25
Maximum39
Range39
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.2658884
Coefficient of variation (CV)0.4276362
Kurtosis2.3459793
Mean14.652381
Median Absolute Deviation (MAD)3
Skewness0.59445475
Sum3077
Variance39.261358
MonotonicityNot monotonic
2024-05-11T15:29:39.064184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
15 39
 
8.7%
14 39
 
8.7%
10 18
 
4.0%
20 15
 
3.3%
18 12
 
2.7%
17 11
 
2.5%
16 8
 
1.8%
7 7
 
1.6%
0 6
 
1.3%
23 6
 
1.3%
Other values (18) 49
 
10.9%
(Missing) 238
53.1%
ValueCountFrequency (%)
0 6
 
1.3%
3 1
 
0.2%
4 5
 
1.1%
5 3
 
0.7%
6 4
 
0.9%
7 7
 
1.6%
9 6
 
1.3%
10 18
4.0%
11 2
 
0.4%
12 5
 
1.1%
ValueCountFrequency (%)
39 1
 
0.2%
36 2
 
0.4%
35 1
 
0.2%
30 3
0.7%
27 1
 
0.2%
26 1
 
0.2%
25 4
0.9%
23 6
1.3%
22 1
 
0.2%
21 2
 
0.4%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
403 
기타
 
39
학교정화(상대)
 
3
주택가주변
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.859375
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 403
90.0%
기타 39
 
8.7%
학교정화(상대) 3
 
0.7%
주택가주변 2
 
0.4%
아파트지역 1
 
0.2%

Length

2024-05-11T15:29:39.343234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:39.512944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 403
90.0%
기타 39
 
8.7%
학교정화(상대 3
 
0.7%
주택가주변 2
 
0.4%
아파트지역 1
 
0.2%

제작취급품목내용
Text

MISSING 

Distinct109
Distinct (%)33.1%
Missing119
Missing (%)26.6%
Memory size3.6 KiB
2024-05-11T15:29:39.865917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length6.1671733
Min length3

Characters and Unicode

Total characters2029
Distinct characters99
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

Unique89 ?
Unique (%)27.1%

Sample

1st row게임물
2nd row온라인, 모바일
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 86
20.9%
모바일게임 66
16.0%
온라인게임 35
 
8.5%
온라인 27
 
6.6%
게임 20
 
4.9%
모바일게임제작 14
 
3.4%
모바일 11
 
2.7%
및 10
 
2.4%
소프트웨어 10
 
2.4%
온라인게임물 8
 
1.9%
Other values (90) 125
30.3%
2024-05-11T15:29:40.588697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 309
15.2%
임 309
15.2%
모 128
 
6.3%
일 127
 
6.3%
바 126
 
6.2%
물 109
 
5.4%
인 103
 
5.1%
온 101
 
5.0%
라 101
 
5.0%
83
 
4.1%
Other values (89) 533
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1833
90.3%
Space Separator 83
 
4.1%
Other Punctuation 60
 
3.0%
Uppercase Letter 27
 
1.3%
Open Punctuation 13
 
0.6%
Close Punctuation 13
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 309
16.9%
임 309
16.9%
모 128
 
7.0%
일 127
 
6.9%
바 126
 
6.9%
물 109
 
5.9%
인 103
 
5.6%
온 101
 
5.5%
라 101
 
5.5%
작 41
 
2.2%
Other values (76) 379
20.7%
Uppercase Letter
ValueCountFrequency (%)
P 8
29.6%
C 6
22.2%
V 5
18.5%
T 3
 
11.1%
R 3
 
11.1%
I 1
 
3.7%
S 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 54
90.0%
/ 5
 
8.3%
. 1
 
1.7%
Space Separator
ValueCountFrequency (%)
83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1833
90.3%
Common 169
 
8.3%
Latin 27
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 309
16.9%
임 309
16.9%
모 128
 
7.0%
일 127
 
6.9%
바 126
 
6.9%
물 109
 
5.9%
인 103
 
5.6%
온 101
 
5.5%
라 101
 
5.5%
작 41
 
2.2%
Other values (76) 379
20.7%
Latin
ValueCountFrequency (%)
P 8
29.6%
C 6
22.2%
V 5
18.5%
T 3
 
11.1%
R 3
 
11.1%
I 1
 
3.7%
S 1
 
3.7%
Common
ValueCountFrequency (%)
83
49.1%
, 54
32.0%
( 13
 
7.7%
) 13
 
7.7%
/ 5
 
3.0%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1833
90.3%
ASCII 196
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 309
16.9%
임 309
16.9%
모 128
 
7.0%
일 127
 
6.9%
바 126
 
6.9%
물 109
 
5.9%
인 103
 
5.6%
온 101
 
5.5%
라 101
 
5.5%
작 41
 
2.2%
Other values (76) 379
20.7%
ASCII
ValueCountFrequency (%)
83
42.3%
, 54
27.6%
( 13
 
6.6%
) 13
 
6.6%
P 8
 
4.1%
C 6
 
3.1%
V 5
 
2.6%
/ 5
 
2.6%
T 3
 
1.5%
R 3
 
1.5%
Other values (3) 3
 
1.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct243
Distinct (%)75.9%
Missing128
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2426.7743
Minimum0
Maximum583737
Zeros7
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:40.910641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.98
Q140.41
median113.1
Q3203.49
95-th percentile998.615
Maximum583737
Range583737
Interquartile range (IQR)163.08

Descriptive statistics

Standard deviation32973.33
Coefficient of variation (CV)13.587308
Kurtosis305.67091
Mean2426.7743
Median Absolute Deviation (MAD)75.57
Skewness17.334755
Sum776567.78
Variance1.0872405 × 109
MonotonicityNot monotonic
2024-05-11T15:29:41.135359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 9
 
2.0%
0.0 7
 
1.6%
129.6 5
 
1.1%
121.6 5
 
1.1%
135.27 5
 
1.1%
141.44 5
 
1.1%
1.3 4
 
0.9%
136.49 4
 
0.9%
134.0 3
 
0.7%
37.53 3
 
0.7%
Other values (233) 270
60.3%
(Missing) 128
28.6%
ValueCountFrequency (%)
0.0 7
1.6%
1.0 2
 
0.4%
1.1 2
 
0.4%
1.3 4
0.9%
2.6 1
 
0.2%
3.0 1
 
0.2%
3.14 1
 
0.2%
3.3 9
2.0%
4.0 1
 
0.2%
5.4 1
 
0.2%
ValueCountFrequency (%)
583737.0 1
0.2%
84990.0 1
0.2%
19986.05 1
0.2%
11933.41 1
0.2%
11880.33 1
0.2%
3399.22 1
0.2%
2683.43 2
0.4%
2150.69 1
0.2%
2055.61 1
0.2%
1541.11 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)9.9%
Missing215
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean7.8025751
Minimum0
Maximum35
Zeros6
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:41.347309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q310
95-th percentile15
Maximum35
Range35
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0321888
Coefficient of variation (CV)0.64493949
Kurtosis5.1218066
Mean7.8025751
Median Absolute Deviation (MAD)3
Skewness1.6201797
Sum1818
Variance25.322924
MonotonicityNot monotonic
2024-05-11T15:29:41.580583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8 24
 
5.4%
6 23
 
5.1%
4 21
 
4.7%
7 20
 
4.5%
9 18
 
4.0%
5 18
 
4.0%
3 18
 
4.0%
2 15
 
3.3%
12 13
 
2.9%
10 12
 
2.7%
Other values (13) 51
 
11.4%
(Missing) 215
48.0%
ValueCountFrequency (%)
0 6
 
1.3%
1 3
 
0.7%
2 15
3.3%
3 18
4.0%
4 21
4.7%
5 18
4.0%
6 23
5.1%
7 20
4.5%
8 24
5.4%
9 18
4.0%
ValueCountFrequency (%)
35 1
 
0.2%
30 1
 
0.2%
25 2
 
0.4%
21 1
 
0.2%
20 3
 
0.7%
18 1
 
0.2%
16 2
 
0.4%
15 9
2.0%
14 4
0.9%
13 7
1.6%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)5.1%
Missing310
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean1.8043478
Minimum0
Maximum9
Zeros7
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T15:29:41.756577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q11
median2
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2073902
Coefficient of variation (CV)0.66915603
Kurtosis8.6974385
Mean1.8043478
Median Absolute Deviation (MAD)1
Skewness2.1261342
Sum249
Variance1.4577912
MonotonicityNot monotonic
2024-05-11T15:29:41.931220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 56
 
12.5%
2 54
 
12.1%
4 12
 
2.7%
0 7
 
1.6%
3 6
 
1.3%
5 2
 
0.4%
9 1
 
0.2%
(Missing) 310
69.2%
ValueCountFrequency (%)
0 7
 
1.6%
1 56
12.5%
2 54
12.1%
3 6
 
1.3%
4 12
 
2.7%
5 2
 
0.4%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
5 2
 
0.4%
4 12
 
2.7%
3 6
 
1.3%
2 54
12.1%
1 56
12.5%
0 7
 
1.6%

건물용도명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
404 
근린생활시설
 
20
기타
 
15
사무실
 
6
연립주택
 
1
Other values (2)
 
2

Length

Max length15
Median length4
Mean length4.0379464
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 404
90.2%
근린생활시설 20
 
4.5%
기타 15
 
3.3%
사무실 6
 
1.3%
연립주택 1
 
0.2%
다가구용 주택(공동주택적용) 1
 
0.2%
교육연구시설 1
 
0.2%

Length

2024-05-11T15:29:42.219141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:42.470661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 404
90.0%
근린생활시설 20
 
4.5%
기타 15
 
3.3%
사무실 6
 
1.3%
연립주택 1
 
0.2%
다가구용 1
 
0.2%
주택(공동주택적용 1
 
0.2%
교육연구시설 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
441 
0
 
7

Length

Max length4
Median length4
Mean length3.953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 441
98.4%
0 7
 
1.6%

Length

2024-05-11T15:29:42.755087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:42.942180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 441
98.4%
0 7
 
1.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
441 
0
 
7

Length

Max length4
Median length4
Mean length3.953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 441
98.4%
0 7
 
1.6%

Length

2024-05-11T15:29:43.166945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:43.416172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 441
98.4%
0 7
 
1.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
441 
0
 
7

Length

Max length4
Median length4
Mean length3.953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 441
98.4%
0 7
 
1.6%

Length

2024-05-11T15:29:43.674914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:43.940209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 441
98.4%
0 7
 
1.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
441 
0
 
7

Length

Max length4
Median length4
Mean length3.953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 441
98.4%
0 7
 
1.6%

Length

2024-05-11T15:29:44.183627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:44.500793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 441
98.4%
0 7
 
1.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
441 
0
 
7

Length

Max length4
Median length4
Mean length3.953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 441
98.4%
0 7
 
1.6%

Length

2024-05-11T15:29:44.728353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:44.934889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 441
98.4%
0 7
 
1.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing448
Missing (%)100.0%
Memory size4.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
373 
준공업지역
51 
준주거지역
 
9
일반상업지역
 
5
일반주거지역
 
4
Other values (4)
 
6

Length

Max length6
Median length4
Mean length4.1830357
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 373
83.3%
준공업지역 51
 
11.4%
준주거지역 9
 
2.0%
일반상업지역 5
 
1.1%
일반주거지역 4
 
0.9%
상업지역 2
 
0.4%
중심상업지역 2
 
0.4%
주거지역 1
 
0.2%
공업지역 1
 
0.2%

Length

2024-05-11T15:29:45.169822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:45.465932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
83.3%
준공업지역 51
 
11.4%
준주거지역 9
 
2.0%
일반상업지역 5
 
1.1%
일반주거지역 4
 
0.9%
상업지역 2
 
0.4%
중심상업지역 2
 
0.4%
주거지역 1
 
0.2%
공업지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF224108199900000119990603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>152814서울특별시 구로구 개봉동 ***-*번지 ***호서울특별시 구로구 개봉로**나길 **, ***호 (개봉동)8338GAME STUDIO(게임스튜디오)2006-09-21 13:51:27I2018-08-31 23:59:59.0<NA>186955.247507443436.261105게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFF224108199900000219991009<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2108-7805<NA>152848서울특별시 구로구 구로동 ***번지 한신IT타워 ****호서울특별시 구로구 디지털로 ***, ****호 (구로동,한신IT타워)8389(주)시멘텍2006-09-21 14:01:38I2018-08-31 23:59:59.0<NA>190594.904646442261.654499게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF224108199900000319991129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2025-2706<NA>152848서울특별시 구로구 구로동 ***-**번지 코오롱싸이언스밸리*차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱싸이언스밸리*차)8378(주)넷돌2006-09-21 14:03:17I2018-08-31 23:59:59.0<NA>190980.657371442547.689998게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF224108199900000419991223<NA>1영업/정상13영업중<NA><NA><NA><NA>2637-4863<NA>152886서울특별시 구로구 신도림동 ***-***번지<NA><NA>선우엔터테인먼트2006-09-21 14:06:05I2018-08-31 23:59:59.0<NA>189133.835406445111.266114게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000CDFF224108200000000120000125<NA>1영업/정상13영업중<NA><NA><NA><NA>2637-2079<NA>152865서울특별시 구로구 구로동 ***-*번지 우성빌딩<NA><NA>JUN CORPORATION2006-09-21 14:07:43I2018-08-31 23:59:59.0<NA>189065.0678444456.127223게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFF224108200000000220000401<NA>1영업/정상13영업중<NA><NA><NA><NA>2025-7272<NA>152848서울특별시 구로구 구로동 ***-*번지 에이스테크노타워 *차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,에이스테크노타워 *차)8380한국비주얼(주)2006-09-21 14:13:52I2018-08-31 23:59:59.0<NA>190688.747501442618.785745게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFF224108200000000320000610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>152803서울특별시 구로구 개봉동 **-*번지서울특별시 구로구 고척로**가길 * (개봉동)8252영화시스템2006-09-22 15:14:29I2018-08-31 23:59:59.0<NA>186234.800783444401.993649게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFF224108200000000420000527<NA>1영업/정상13영업중<NA><NA><NA><NA>3282-3580<NA>152848서울특별시 구로구 구로동 ***-**번지 e-space 빌딩 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,e-space 빌딩)8381위즈덤에이치앤에스2006-09-22 15:16:06I2018-08-31 23:59:59.0<NA>190423.216683442403.568114게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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