Overview

Dataset statistics

Number of variables56
Number of observations263
Missing cells6905
Missing cells (%)46.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.0 KiB
Average record size in memory486.5 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-16682/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (83.4%)Imbalance
건물용도명 is highly imbalanced (78.3%)Imbalance
통로너비 is highly imbalanced (88.6%)Imbalance
조명시설조도 is highly imbalanced (88.6%)Imbalance
노래방실수 is highly imbalanced (88.6%)Imbalance
청소년실수 is highly imbalanced (88.6%)Imbalance
총게임기수 is highly imbalanced (88.6%)Imbalance
지역구분명 is highly imbalanced (70.9%)Imbalance
인허가취소일자 has 263 (100.0%) missing valuesMissing
폐업일자 has 194 (73.8%) missing valuesMissing
휴업시작일자 has 263 (100.0%) missing valuesMissing
휴업종료일자 has 263 (100.0%) missing valuesMissing
재개업일자 has 263 (100.0%) missing valuesMissing
전화번호 has 127 (48.3%) missing valuesMissing
소재지면적 has 263 (100.0%) missing valuesMissing
소재지우편번호 has 228 (86.7%) missing valuesMissing
도로명우편번호 has 19 (7.2%) missing valuesMissing
업태구분명 has 263 (100.0%) missing valuesMissing
총층수 has 140 (53.2%) missing valuesMissing
제작취급품목내용 has 55 (20.9%) missing valuesMissing
시설면적 has 63 (24.0%) missing valuesMissing
지상층수 has 125 (47.5%) missing valuesMissing
지하층수 has 163 (62.0%) missing valuesMissing
비상계단여부 has 263 (100.0%) missing valuesMissing
비상구여부 has 263 (100.0%) missing valuesMissing
자동환기여부 has 263 (100.0%) missing valuesMissing
청소년실여부 has 263 (100.0%) missing valuesMissing
특수조명여부 has 263 (100.0%) missing valuesMissing
방음시설여부 has 263 (100.0%) missing valuesMissing
비디오재생기명 has 263 (100.0%) missing valuesMissing
조명시설유무 has 263 (100.0%) missing valuesMissing
음향시설여부 has 263 (100.0%) missing valuesMissing
편의시설여부 has 263 (100.0%) missing valuesMissing
소방시설여부 has 263 (100.0%) missing valuesMissing
기존게임업외업종명 has 263 (100.0%) missing valuesMissing
제공게임물명 has 263 (100.0%) missing valuesMissing
공연장형태구분명 has 263 (100.0%) missing valuesMissing
품목명 has 263 (100.0%) missing valuesMissing
최초등록시점 has 263 (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 3 (1.1%) zerosZeros
시설면적 has 3 (1.1%) zerosZeros
지상층수 has 3 (1.1%) zerosZeros
지하층수 has 5 (1.9%) zerosZeros

Reproduction

Analysis started2024-04-06 12:26:17.172158
Analysis finished2024-04-06 12:26:18.555867
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3160000
263 

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 263
100.0%

Length

2024-04-06T21:26:18.696647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:19.035802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 263
100.0%

관리번호
Text

UNIQUE 

Distinct263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-06T21:26:19.603226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5260
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

Unique263 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000002
3rd rowCDFF2241122000000001
4th rowCDFF2241122000000002
5th rowCDFF2241122000000003
ValueCountFrequency (%)
cdff2241121999000001 1
 
0.4%
cdff2241122017000003 1
 
0.4%
cdff2241122014000030 1
 
0.4%
cdff2241122014000031 1
 
0.4%
cdff2241122014000032 1
 
0.4%
cdff2241122014000033 1
 
0.4%
cdff2241122014000035 1
 
0.4%
cdff2241122015000002 1
 
0.4%
cdff2241122015000005 1
 
0.4%
cdff2241122015000006 1
 
0.4%
Other values (253) 253
96.2%
2024-04-06T21:26:20.766821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1559
29.6%
2 1186
22.5%
1 832
15.8%
F 526
 
10.0%
4 329
 
6.3%
C 263
 
5.0%
D 263
 
5.0%
3 89
 
1.7%
9 50
 
1.0%
6 43
 
0.8%
Other values (3) 120
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4208
80.0%
Uppercase Letter 1052
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1559
37.0%
2 1186
28.2%
1 832
19.8%
4 329
 
7.8%
3 89
 
2.1%
9 50
 
1.2%
6 43
 
1.0%
5 42
 
1.0%
7 41
 
1.0%
8 37
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 526
50.0%
C 263
25.0%
D 263
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4208
80.0%
Latin 1052
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1559
37.0%
2 1186
28.2%
1 832
19.8%
4 329
 
7.8%
3 89
 
2.1%
9 50
 
1.2%
6 43
 
1.0%
5 42
 
1.0%
7 41
 
1.0%
8 37
 
0.9%
Latin
ValueCountFrequency (%)
F 526
50.0%
C 263
25.0%
D 263
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1559
29.6%
2 1186
22.5%
1 832
15.8%
F 526
 
10.0%
4 329
 
6.3%
C 263
 
5.0%
D 263
 
5.0%
3 89
 
1.7%
9 50
 
1.0%
6 43
 
0.8%
Other values (3) 120
 
2.3%

인허가일자
Date

Distinct246
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1999-10-29 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T21:26:21.173522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:21.663490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
194 
3
63 
5
 
6

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 (%)
1 194
73.8%
3 63
 
24.0%
5 6
 
2.3%

Length

2024-04-06T21:26:22.240527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:22.597591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 194
73.8%
3 63
 
24.0%
5 6
 
2.3%

영업상태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업/정상
194 
폐업
63 
제외/삭제/전출
 
6

Length

Max length8
Median length5
Mean length4.3498099
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 194
73.8%
폐업 63
 
24.0%
제외/삭제/전출 6
 
2.3%

Length

2024-04-06T21:26:23.069104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:23.366630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 194
73.8%
폐업 63
 
24.0%
제외/삭제/전출 6
 
2.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
13
194 
3
63 
15
 
6

Length

Max length2
Median length2
Mean length1.7604563
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 194
73.8%
3 63
 
24.0%
15 6
 
2.3%

Length

2024-04-06T21:26:23.679547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:23.895859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 194
73.8%
3 63
 
24.0%
15 6
 
2.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업중
194 
폐업
63 
전출
 
6

Length

Max length3
Median length3
Mean length2.7376426
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 194
73.8%
폐업 63
 
24.0%
전출 6
 
2.3%

Length

2024-04-06T21:26:24.090482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:24.283076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 194
73.8%
폐업 63
 
24.0%
전출 6
 
2.3%

폐업일자
Date

MISSING 

Distinct68
Distinct (%)98.6%
Missing194
Missing (%)73.8%
Memory size2.2 KiB
Minimum2006-12-28 00:00:00
Maximum2023-09-07 00:00:00
2024-04-06T21:26:24.509285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:25.034215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct131
Distinct (%)96.3%
Missing127
Missing (%)48.3%
Memory size2.2 KiB
2024-04-06T21:26:25.726989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.066176
Min length2

Characters and Unicode

Total characters1505
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

Unique126 ?
Unique (%)92.6%

Sample

1st row869-2657
2nd row2025-2706
3rd row3282-3580
4th row686-3553
5th row2625-2333
ValueCountFrequency (%)
02-869-1222 2
 
1.5%
02-2677-0701 2
 
1.5%
02-2065-6641 2
 
1.5%
02-371-7063 2
 
1.5%
02-6959-0498 2
 
1.5%
02-6942-9459 1
 
0.7%
02 1
 
0.7%
070-7931-4617 1
 
0.7%
02-761-6358 1
 
0.7%
02-2672-0577 1
 
0.7%
Other values (121) 121
89.0%
2024-04-06T21:26:26.669121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 270
17.9%
- 228
15.1%
2 216
14.4%
7 122
8.1%
5 121
8.0%
6 111
7.4%
8 102
 
6.8%
1 93
 
6.2%
3 93
 
6.2%
4 78
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1277
84.9%
Dash Punctuation 228
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 270
21.1%
2 216
16.9%
7 122
9.6%
5 121
9.5%
6 111
8.7%
8 102
 
8.0%
1 93
 
7.3%
3 93
 
7.3%
4 78
 
6.1%
9 71
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 270
17.9%
- 228
15.1%
2 216
14.4%
7 122
8.1%
5 121
8.0%
6 111
7.4%
8 102
 
6.8%
1 93
 
6.2%
3 93
 
6.2%
4 78
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 270
17.9%
- 228
15.1%
2 216
14.4%
7 122
8.1%
5 121
8.0%
6 111
7.4%
8 102
 
6.8%
1 93
 
6.2%
3 93
 
6.2%
4 78
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)42.9%
Missing228
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean152836.71
Minimum152720
Maximum152906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:26.970530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152720
5-th percentile152721
Q1152842.5
median152848
Q3152848
95-th percentile152880.7
Maximum152906
Range186
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation40.67632
Coefficient of variation (CV)0.00026614234
Kurtosis4.1927703
Mean152836.71
Median Absolute Deviation (MAD)1
Skewness-1.9638222
Sum5349285
Variance1654.563
MonotonicityNot monotonic
2024-04-06T21:26:27.361248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
152848 16
 
6.1%
152847 4
 
1.5%
152721 2
 
0.8%
152841 2
 
0.8%
152842 1
 
0.4%
152906 1
 
0.4%
152789 1
 
0.4%
152878 1
 
0.4%
152843 1
 
0.4%
152846 1
 
0.4%
Other values (5) 5
 
1.9%
(Missing) 228
86.7%
ValueCountFrequency (%)
152720 1
 
0.4%
152721 2
0.8%
152789 1
 
0.4%
152813 1
 
0.4%
152815 1
 
0.4%
152841 2
0.8%
152842 1
 
0.4%
152843 1
 
0.4%
152846 1
 
0.4%
152847 4
1.5%
ValueCountFrequency (%)
152906 1
 
0.4%
152887 1
 
0.4%
152878 1
 
0.4%
152866 1
 
0.4%
152848 16
6.1%
152847 4
 
1.5%
152846 1
 
0.4%
152843 1
 
0.4%
152842 1
 
0.4%
152841 2
 
0.8%

지번주소
Text

Distinct179
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-06T21:26:27.769188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length34.965779
Min length22

Characters and Unicode

Total characters9196
Distinct characters186
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

Unique134 ?
Unique (%)51.0%

Sample

1st row서울특별시 구로구 구로동 ***-*번지 선경빌딩 ****호
2nd row서울특별시 구로구 구로동 ***-**번지 코오롱싸이언스밸리*차 ***호
3rd row서울특별시 구로구 구로동 ***-**번지 e-space B/D ***호
4th row서울특별시 구로구 구로동 ****번지 중앙유통단지 라동 ****호
5th row서울특별시 구로구 온수동 ***-**번지
ValueCountFrequency (%)
서울특별시 262
16.8%
구로구 262
16.8%
구로동 243
15.6%
번지 203
13.0%
호 192
12.3%
59
 
3.8%
대륭포스트타워*차 26
 
1.7%
층 26
 
1.7%
에이스테크노타워*차 24
 
1.5%
지밸리비즈플라자 15
 
1.0%
Other values (123) 250
16.0%
2024-04-06T21:26:28.582183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2001
21.8%
1359
14.8%
구 769
 
8.4%
로 509
 
5.5%
동 282
 
3.1%
지 279
 
3.0%
시 266
 
2.9%
울 262
 
2.8%
서 262
 
2.8%
별 262
 
2.8%
Other values (176) 2945
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5437
59.1%
Other Punctuation 2012
 
21.9%
Space Separator 1359
 
14.8%
Dash Punctuation 251
 
2.7%
Uppercase Letter 93
 
1.0%
Lowercase Letter 19
 
0.2%
Decimal Number 13
 
0.1%
Letter Number 6
 
0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 769
 
14.1%
로 509
 
9.4%
동 282
 
5.2%
지 279
 
5.1%
시 266
 
4.9%
울 262
 
4.8%
서 262
 
4.8%
별 262
 
4.8%
특 262
 
4.8%
번 203
 
3.7%
Other values (130) 2081
38.3%
Uppercase Letter
ValueCountFrequency (%)
B 13
14.0%
S 12
12.9%
A 10
10.8%
K 10
10.8%
E 6
6.5%
U 6
6.5%
R 6
6.5%
G 6
6.5%
Q 6
6.5%
I 4
 
4.3%
Other values (6) 14
15.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
36.8%
s 2
 
10.5%
b 1
 
5.3%
i 1
 
5.3%
z 1
 
5.3%
n 1
 
5.3%
t 1
 
5.3%
r 1
 
5.3%
p 1
 
5.3%
a 1
 
5.3%
Other values (2) 2
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
8 3
23.1%
9 2
15.4%
4 1
 
7.7%
3 1
 
7.7%
0 1
 
7.7%
6 1
 
7.7%
7 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 2001
99.5%
, 10
 
0.5%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
66.7%
Ⅱ 2
33.3%
Space Separator
ValueCountFrequency (%)
1359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5437
59.1%
Common 3641
39.6%
Latin 118
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 769
 
14.1%
로 509
 
9.4%
동 282
 
5.2%
지 279
 
5.1%
시 266
 
4.9%
울 262
 
4.8%
서 262
 
4.8%
별 262
 
4.8%
특 262
 
4.8%
번 203
 
3.7%
Other values (130) 2081
38.3%
Latin
ValueCountFrequency (%)
B 13
 
11.0%
S 12
 
10.2%
A 10
 
8.5%
K 10
 
8.5%
e 7
 
5.9%
E 6
 
5.1%
U 6
 
5.1%
R 6
 
5.1%
G 6
 
5.1%
Q 6
 
5.1%
Other values (20) 36
30.5%
Common
ValueCountFrequency (%)
* 2001
55.0%
1359
37.3%
- 251
 
6.9%
, 10
 
0.3%
~ 4
 
0.1%
1 3
 
0.1%
8 3
 
0.1%
9 2
 
0.1%
) 1
 
< 0.1%
4 1
 
< 0.1%
Other values (6) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5437
59.1%
ASCII 3753
40.8%
Number Forms 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2001
53.3%
1359
36.2%
- 251
 
6.7%
B 13
 
0.3%
S 12
 
0.3%
A 10
 
0.3%
K 10
 
0.3%
, 10
 
0.3%
e 7
 
0.2%
E 6
 
0.2%
Other values (34) 74
 
2.0%
Hangul
ValueCountFrequency (%)
구 769
 
14.1%
로 509
 
9.4%
동 282
 
5.2%
지 279
 
5.1%
시 266
 
4.9%
울 262
 
4.8%
서 262
 
4.8%
별 262
 
4.8%
특 262
 
4.8%
번 203
 
3.7%
Other values (130) 2081
38.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
66.7%
Ⅱ 2
33.3%

도로명주소
Text

Distinct216
Distinct (%)82.4%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-04-06T21:26:29.254895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length43.21374
Min length26

Characters and Unicode

Total characters11322
Distinct characters190
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)70.2%

Sample

1st row서울특별시 구로구 공원로 *, ****호 (구로동,선경빌딩)
2nd row서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱싸이언스밸리*차)
3rd row서울특별시 구로구 디지털로**길 **, ***호 (구로동,e-space B/D)
4th row서울특별시 구로구 경인로**길 **, 라동 ****호 (구로동,중앙유통단지)
5th row서울특별시 구로구 부일로*나길 ** (온수동)
ValueCountFrequency (%)
276
14.6%
서울특별시 261
13.8%
구로구 261
13.8%
구로동 219
11.6%
호 196
10.4%
디지털로**길 153
8.1%
층 99
 
5.2%
디지털로 51
 
2.7%
에이스테크노타워*차 21
 
1.1%
대륭포스트타워*차 19
 
1.0%
Other values (162) 337
17.8%
2024-04-06T21:26:29.968336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2016
17.8%
1701
15.0%
구 837
 
7.4%
로 832
 
7.3%
, 423
 
3.7%
동 342
 
3.0%
지 284
 
2.5%
시 265
 
2.3%
( 263
 
2.3%
) 263
 
2.3%
Other values (180) 4096
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6466
57.1%
Other Punctuation 2440
 
21.6%
Space Separator 1701
 
15.0%
Open Punctuation 263
 
2.3%
Close Punctuation 263
 
2.3%
Uppercase Letter 95
 
0.8%
Dash Punctuation 51
 
0.5%
Lowercase Letter 19
 
0.2%
Decimal Number 12
 
0.1%
Letter Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 837
 
12.9%
로 832
 
12.9%
동 342
 
5.3%
지 284
 
4.4%
시 265
 
4.1%
서 261
 
4.0%
특 261
 
4.0%
별 261
 
4.0%
울 261
 
4.0%
디 248
 
3.8%
Other values (137) 2614
40.4%
Uppercase Letter
ValueCountFrequency (%)
B 12
12.6%
S 12
12.6%
A 11
11.6%
K 10
10.5%
R 7
7.4%
Q 6
6.3%
U 6
6.3%
E 6
6.3%
G 6
6.3%
N 5
 
5.3%
Other values (6) 14
14.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
36.8%
s 2
 
10.5%
b 1
 
5.3%
i 1
 
5.3%
z 1
 
5.3%
p 1
 
5.3%
a 1
 
5.3%
c 1
 
5.3%
r 1
 
5.3%
t 1
 
5.3%
Other values (2) 2
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
8 3
25.0%
6 2
16.7%
0 2
16.7%
3 2
16.7%
Other Punctuation
ValueCountFrequency (%)
* 2016
82.6%
, 423
 
17.3%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
57.1%
Ⅱ 3
42.9%
Space Separator
ValueCountFrequency (%)
1701
100.0%
Open Punctuation
ValueCountFrequency (%)
( 263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6466
57.1%
Common 4735
41.8%
Latin 121
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 837
 
12.9%
로 832
 
12.9%
동 342
 
5.3%
지 284
 
4.4%
시 265
 
4.1%
서 261
 
4.0%
특 261
 
4.0%
별 261
 
4.0%
울 261
 
4.0%
디 248
 
3.8%
Other values (137) 2614
40.4%
Latin
ValueCountFrequency (%)
B 12
 
9.9%
S 12
 
9.9%
A 11
 
9.1%
K 10
 
8.3%
e 7
 
5.8%
R 7
 
5.8%
Q 6
 
5.0%
U 6
 
5.0%
E 6
 
5.0%
G 6
 
5.0%
Other values (20) 38
31.4%
Common
ValueCountFrequency (%)
* 2016
42.6%
1701
35.9%
, 423
 
8.9%
( 263
 
5.6%
) 263
 
5.6%
- 51
 
1.1%
~ 5
 
0.1%
1 3
 
0.1%
8 3
 
0.1%
6 2
 
< 0.1%
Other values (3) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6465
57.1%
ASCII 4849
42.8%
Number Forms 7
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2016
41.6%
1701
35.1%
, 423
 
8.7%
( 263
 
5.4%
) 263
 
5.4%
- 51
 
1.1%
B 12
 
0.2%
S 12
 
0.2%
A 11
 
0.2%
K 10
 
0.2%
Other values (31) 87
 
1.8%
Hangul
ValueCountFrequency (%)
구 837
 
12.9%
로 832
 
12.9%
동 342
 
5.3%
지 284
 
4.4%
시 265
 
4.1%
서 261
 
4.0%
특 261
 
4.0%
별 261
 
4.0%
울 261
 
4.0%
디 248
 
3.8%
Other values (136) 2613
40.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
57.1%
Ⅱ 3
42.9%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)17.2%
Missing19
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean11755.008
Minimum8207
Maximum402835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:30.258624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8207
5-th percentile8249
Q18376.75
median8380
Q38389
95-th percentile8392.55
Maximum402835
Range394628
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation29771.295
Coefficient of variation (CV)2.5326477
Kurtosis128.93556
Mean11755.008
Median Absolute Deviation (MAD)5
Skewness10.727146
Sum2868222
Variance8.8632998 × 108
MonotonicityNot monotonic
2024-04-06T21:26:30.539693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8390 40
15.2%
8381 31
11.8%
8378 25
9.5%
8389 21
8.0%
8377 20
 
7.6%
8380 17
 
6.5%
8379 14
 
5.3%
8375 9
 
3.4%
8376 8
 
3.0%
8393 8
 
3.0%
Other values (32) 51
19.4%
(Missing) 19
 
7.2%
ValueCountFrequency (%)
8207 1
 
0.4%
8208 3
1.1%
8209 2
0.8%
8213 1
 
0.4%
8215 1
 
0.4%
8216 1
 
0.4%
8217 2
0.8%
8233 1
 
0.4%
8249 2
0.8%
8255 1
 
0.4%
ValueCountFrequency (%)
402835 1
 
0.4%
152848 1
 
0.4%
152779 1
 
0.4%
152741 1
 
0.4%
8394 1
 
0.4%
8393 8
 
3.0%
8390 40
15.2%
8389 21
8.0%
8387 1
 
0.4%
8382 1
 
0.4%

사업장명
Text

Distinct261
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-06T21:26:30.969922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length8.2053232
Min length2

Characters and Unicode

Total characters2158
Distinct characters288
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

Unique259 ?
Unique (%)98.5%

Sample

1st row에닉스
2nd row(주)넷돌
3rd row(주)위즈덤에이치앤에스
4th row정림전자(주)
5th row(주)테크쓰리
ValueCountFrequency (%)
주식회사 35
 
11.2%
참소프트 2
 
0.6%
길드 2
 
0.6%
소프트 2
 
0.6%
휴머니티게임즈 1
 
0.3%
주)에이팀 1
 
0.3%
주)로켓츠게임즈 1
 
0.3%
오시오 1
 
0.3%
주)짚글로벌코리아 1
 
0.3%
릴타임게임즈 1
 
0.3%
Other values (265) 265
84.9%
2024-04-06T21:26:31.664578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 212
 
9.8%
( 178
 
8.2%
) 178
 
8.2%
트 74
 
3.4%
스 69
 
3.2%
이 68
 
3.2%
프 57
 
2.6%
50
 
2.3%
소 47
 
2.2%
사 40
 
1.9%
Other values (278) 1185
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1706
79.1%
Open Punctuation 178
 
8.2%
Close Punctuation 178
 
8.2%
Space Separator 50
 
2.3%
Lowercase Letter 21
 
1.0%
Uppercase Letter 15
 
0.7%
Decimal Number 6
 
0.3%
Other Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 212
 
12.4%
트 74
 
4.3%
스 69
 
4.0%
이 68
 
4.0%
프 57
 
3.3%
소 47
 
2.8%
사 40
 
2.3%
임 39
 
2.3%
게 38
 
2.2%
회 38
 
2.2%
Other values (248) 1024
60.0%
Uppercase Letter
ValueCountFrequency (%)
P 3
20.0%
M 2
13.3%
S 1
 
6.7%
K 1
 
6.7%
J 1
 
6.7%
C 1
 
6.7%
E 1
 
6.7%
A 1
 
6.7%
R 1
 
6.7%
L 1
 
6.7%
Other values (2) 2
13.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
28.6%
e 4
19.0%
p 2
 
9.5%
n 2
 
9.5%
s 2
 
9.5%
m 1
 
4.8%
f 1
 
4.8%
t 1
 
4.8%
r 1
 
4.8%
l 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
4 2
33.3%
2 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1706
79.1%
Common 416
 
19.3%
Latin 36
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 212
 
12.4%
트 74
 
4.3%
스 69
 
4.0%
이 68
 
4.0%
프 57
 
3.3%
소 47
 
2.8%
사 40
 
2.3%
임 39
 
2.3%
게 38
 
2.2%
회 38
 
2.2%
Other values (248) 1024
60.0%
Latin
ValueCountFrequency (%)
o 6
16.7%
e 4
 
11.1%
P 3
 
8.3%
p 2
 
5.6%
n 2
 
5.6%
s 2
 
5.6%
M 2
 
5.6%
S 1
 
2.8%
m 1
 
2.8%
f 1
 
2.8%
Other values (12) 12
33.3%
Common
ValueCountFrequency (%)
( 178
42.8%
) 178
42.8%
50
 
12.0%
& 3
 
0.7%
1 3
 
0.7%
4 2
 
0.5%
2 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1706
79.1%
ASCII 452
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 212
 
12.4%
트 74
 
4.3%
스 69
 
4.0%
이 68
 
4.0%
프 57
 
3.3%
소 47
 
2.8%
사 40
 
2.3%
임 39
 
2.3%
게 38
 
2.2%
회 38
 
2.2%
Other values (248) 1024
60.0%
ASCII
ValueCountFrequency (%)
( 178
39.4%
) 178
39.4%
50
 
11.1%
o 6
 
1.3%
e 4
 
0.9%
P 3
 
0.7%
& 3
 
0.7%
1 3
 
0.7%
4 2
 
0.4%
p 2
 
0.4%
Other values (20) 23
 
5.1%

최종수정일자
Date

UNIQUE 

Distinct263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2006-04-17 10:03:59
Maximum2024-03-28 13:04:24
2024-04-06T21:26:31.981250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:32.278663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
210 
U
53 

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 210
79.8%
U 53
 
20.2%

Length

2024-04-06T21:26:32.974646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:33.175611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 210
79.8%
u 53
 
20.2%

데이터갱신일자
Date

Distinct81
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:09:00
2024-04-06T21:26:33.401252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:26:33.713613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct78
Distinct (%)29.9%
Missing2
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean190330.23
Minimum183748.77
Maximum191020.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:34.142537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183748.77
5-th percentile188675
Q1190423.22
median190662.78
Q3190776.47
95-th percentile191002.24
Maximum191020.26
Range7271.4895
Interquartile range (IQR)353.25186

Descriptive statistics

Standard deviation1079.0214
Coefficient of variation (CV)0.0056692064
Kurtosis16.294298
Mean190330.23
Median Absolute Deviation (MAD)160.0706
Skewness-3.8789084
Sum49676191
Variance1164287.2
MonotonicityNot monotonic
2024-04-06T21:26:34.501072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190779.824680954 15
 
5.7%
190776.468544178 13
 
4.9%
191020.264430044 12
 
4.6%
190680.536850936 11
 
4.2%
190688.747501289 10
 
3.8%
190671.436719919 9
 
3.4%
190741.158117503 9
 
3.4%
190822.851419439 8
 
3.0%
190845.231594802 7
 
2.7%
190423.216683488 7
 
2.7%
Other values (68) 160
60.8%
ValueCountFrequency (%)
183748.774951501 1
0.4%
184290.893400642 1
0.4%
184963.245836701 2
0.8%
185311.370050289 1
0.4%
185953.543720033 1
0.4%
186144.880821445 1
0.4%
187050.336966489 1
0.4%
187055.129171601 1
0.4%
187206.991794708 1
0.4%
187416.31554783 1
0.4%
ValueCountFrequency (%)
191020.264430044 12
4.6%
191002.243483409 3
 
1.1%
190980.657371441 3
 
1.1%
190967.257864999 1
 
0.4%
190919.498006713 4
 
1.5%
190887.117653337 2
 
0.8%
190845.231594802 7
2.7%
190822.851419439 8
3.0%
190779.824680954 15
5.7%
190776.468544178 13
4.9%

좌표정보(Y)
Real number (ℝ)

Distinct78
Distinct (%)29.9%
Missing2
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean442775.56
Minimum441973.6
Maximum445265.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:34.979071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441973.6
5-th percentile442154.99
Q1442370.14
median442527.53
Q3442750.02
95-th percentile444336.05
Maximum445265.19
Range3291.5888
Interquartile range (IQR)379.873

Descriptive statistics

Standard deviation724.09782
Coefficient of variation (CV)0.0016353609
Kurtosis2.552047
Mean442775.56
Median Absolute Deviation (MAD)174.7576
Skewness1.811799
Sum1.1556442 × 108
Variance524317.65
MonotonicityNot monotonic
2024-04-06T21:26:35.395731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442527.527966789 15
 
5.7%
442370.143700207 13
 
4.9%
442460.919021593 12
 
4.6%
442392.645303533 11
 
4.2%
442618.785745098 10
 
3.8%
442219.137493629 9
 
3.4%
442703.311770946 9
 
3.4%
442253.132895893 8
 
3.0%
442639.420821243 7
 
2.7%
442403.568114284 7
 
2.7%
Other values (68) 160
60.8%
ValueCountFrequency (%)
441973.603139541 6
2.3%
442016.106185363 1
 
0.4%
442062.331542356 1
 
0.4%
442071.447779897 1
 
0.4%
442113.916061607 3
 
1.1%
442154.992807483 6
2.3%
442203.137447127 1
 
0.4%
442219.137493629 9
3.4%
442253.132895893 8
3.0%
442261.654499191 5
1.9%
ValueCountFrequency (%)
445265.191940304 1
 
0.4%
445250.538868558 3
1.1%
445157.626366229 2
0.8%
444836.673561831 1
 
0.4%
444822.310112893 1
 
0.4%
444788.587049392 1
 
0.4%
444715.218537294 1
 
0.4%
444619.362604405 1
 
0.4%
444593.002994227 1
 
0.4%
444416.843774562 1
 
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
게임물배급업
224 
<NA>
39 

Length

Max length6
Median length6
Mean length5.7034221
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 224
85.2%
<NA> 39
 
14.8%

Length

2024-04-06T21:26:35.781162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:36.048486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 224
85.2%
na 39
 
14.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
유통관련업
224 
<NA>
39 

Length

Max length5
Median length5
Mean length4.851711
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 224
85.2%
<NA> 39
 
14.8%

Length

2024-04-06T21:26:36.299873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:36.685340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 224
85.2%
na 39
 
14.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)21.1%
Missing140
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean15.089431
Minimum0
Maximum39
Zeros3
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:36.907333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median15
Q318
95-th percentile25.9
Maximum39
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.5499445
Coefficient of variation (CV)0.43407498
Kurtosis2.2544653
Mean15.089431
Median Absolute Deviation (MAD)3
Skewness0.7190692
Sum1856
Variance42.901773
MonotonicityNot monotonic
2024-04-06T21:26:37.191982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
15 24
 
9.1%
14 22
 
8.4%
10 12
 
4.6%
18 6
 
2.3%
19 5
 
1.9%
17 5
 
1.9%
23 5
 
1.9%
16 5
 
1.9%
9 5
 
1.9%
12 4
 
1.5%
Other values (16) 30
 
11.4%
(Missing) 140
53.2%
ValueCountFrequency (%)
0 3
 
1.1%
3 1
 
0.4%
4 4
 
1.5%
6 2
 
0.8%
7 2
 
0.8%
9 5
 
1.9%
10 12
4.6%
12 4
 
1.5%
13 2
 
0.8%
14 22
8.4%
ValueCountFrequency (%)
39 1
 
0.4%
36 1
 
0.4%
35 1
 
0.4%
30 2
 
0.8%
27 1
 
0.4%
26 1
 
0.4%
25 3
1.1%
23 5
1.9%
22 1
 
0.4%
21 1
 
0.4%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
250 
기타
 
10
학교정화(상대)
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.9581749
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 250
95.1%
기타 10
 
3.8%
학교정화(상대) 2
 
0.8%
아파트지역 1
 
0.4%

Length

2024-04-06T21:26:37.445732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:37.717794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 250
95.1%
기타 10
 
3.8%
학교정화(상대 2
 
0.8%
아파트지역 1
 
0.4%

제작취급품목내용
Text

MISSING 

Distinct80
Distinct (%)38.5%
Missing55
Missing (%)20.9%
Memory size2.2 KiB
2024-04-06T21:26:38.109491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length6.1009615
Min length2

Characters and Unicode

Total characters1269
Distinct characters79
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

Unique66 ?
Unique (%)31.7%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row온라인,아케이드게임
ValueCountFrequency (%)
게임물 61
24.7%
모바일게임 35
14.2%
온라인게임 17
 
6.9%
게임 10
 
4.0%
온라인 10
 
4.0%
모바일게임제작 7
 
2.8%
아케이드 7
 
2.8%
온라인,모바일게임 6
 
2.4%
모바일 6
 
2.4%
웹게임 4
 
1.6%
Other values (67) 84
34.0%
2024-04-06T21:26:38.759269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 196
15.4%
게 195
15.4%
모 76
 
6.0%
바 76
 
6.0%
물 75
 
5.9%
일 75
 
5.9%
온 56
 
4.4%
라 56
 
4.4%
인 55
 
4.3%
, 42
 
3.3%
Other values (69) 367
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1158
91.3%
Other Punctuation 45
 
3.5%
Space Separator 39
 
3.1%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Uppercase Letter 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 196
16.9%
게 195
16.8%
모 76
 
6.6%
바 76
 
6.6%
물 75
 
6.5%
일 75
 
6.5%
온 56
 
4.8%
라 56
 
4.8%
인 55
 
4.7%
이 25
 
2.2%
Other values (58) 273
23.6%
Uppercase Letter
ValueCountFrequency (%)
V 2
22.2%
C 2
22.2%
P 2
22.2%
R 1
11.1%
O 1
11.1%
D 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 42
93.3%
/ 3
 
6.7%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1158
91.3%
Common 102
 
8.0%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 196
16.9%
게 195
16.8%
모 76
 
6.6%
바 76
 
6.6%
물 75
 
6.5%
일 75
 
6.5%
온 56
 
4.8%
라 56
 
4.8%
인 55
 
4.7%
이 25
 
2.2%
Other values (58) 273
23.6%
Latin
ValueCountFrequency (%)
V 2
22.2%
C 2
22.2%
P 2
22.2%
R 1
11.1%
O 1
11.1%
D 1
11.1%
Common
ValueCountFrequency (%)
, 42
41.2%
39
38.2%
( 9
 
8.8%
) 9
 
8.8%
/ 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1158
91.3%
ASCII 111
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 196
16.9%
게 195
16.8%
모 76
 
6.6%
바 76
 
6.6%
물 75
 
6.5%
일 75
 
6.5%
온 56
 
4.8%
라 56
 
4.8%
인 55
 
4.7%
이 25
 
2.2%
Other values (58) 273
23.6%
ASCII
ValueCountFrequency (%)
, 42
37.8%
39
35.1%
( 9
 
8.1%
) 9
 
8.1%
/ 3
 
2.7%
V 2
 
1.8%
C 2
 
1.8%
P 2
 
1.8%
R 1
 
0.9%
O 1
 
0.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct162
Distinct (%)81.0%
Missing63
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean8042.0686
Minimum0
Maximum883014
Zeros3
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:39.080963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.535
Q138.79
median119.5
Q3208.905
95-th percentile1204.5725
Maximum883014
Range883014
Interquartile range (IQR)170.115

Descriptive statistics

Standard deviation74851.394
Coefficient of variation (CV)9.3074802
Kurtosis111.78059
Mean8042.0686
Median Absolute Deviation (MAD)81.97
Skewness10.421359
Sum1608413.7
Variance5.6027312 × 109
MonotonicityNot monotonic
2024-04-06T21:26:39.359013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 6
 
2.3%
129.6 5
 
1.9%
37.53 4
 
1.5%
1.3 4
 
1.5%
66.0 4
 
1.5%
59.12 3
 
1.1%
135.27 3
 
1.1%
121.6 3
 
1.1%
0.0 3
 
1.1%
136.49 3
 
1.1%
Other values (152) 162
61.6%
(Missing) 63
 
24.0%
ValueCountFrequency (%)
0.0 3
1.1%
1.0 2
 
0.8%
1.1 1
 
0.4%
1.3 4
1.5%
2.6 1
 
0.4%
3.14 1
 
0.4%
3.3 6
2.3%
4.76 1
 
0.4%
6.28 1
 
0.4%
6.6 1
 
0.4%
ValueCountFrequency (%)
883014.0 1
0.4%
583737.0 1
0.4%
84990.0 1
0.4%
11933.41 1
0.4%
3399.22 1
0.4%
2683.43 2
0.8%
2150.69 1
0.4%
2055.61 1
0.4%
1541.11 1
0.4%
1186.86 1
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)17.4%
Missing125
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean8.326087
Minimum0
Maximum35
Zeros3
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:39.574851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q311
95-th percentile20
Maximum35
Range35
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.9623674
Coefficient of variation (CV)0.71610679
Kurtosis3.4116698
Mean8.326087
Median Absolute Deviation (MAD)3
Skewness1.5434355
Sum1149
Variance35.549825
MonotonicityNot monotonic
2024-04-06T21:26:39.939025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 14
 
5.3%
6 12
 
4.6%
8 12
 
4.6%
5 11
 
4.2%
2 11
 
4.2%
7 11
 
4.2%
3 10
 
3.8%
9 10
 
3.8%
15 9
 
3.4%
10 5
 
1.9%
Other values (14) 33
 
12.5%
(Missing) 125
47.5%
ValueCountFrequency (%)
0 3
 
1.1%
1 2
 
0.8%
2 11
4.2%
3 10
3.8%
4 14
5.3%
5 11
4.2%
6 12
4.6%
7 11
4.2%
8 12
4.6%
9 10
3.8%
ValueCountFrequency (%)
35 1
 
0.4%
30 1
 
0.4%
25 2
 
0.8%
21 1
 
0.4%
20 3
 
1.1%
19 1
 
0.4%
18 2
 
0.8%
16 1
 
0.4%
15 9
3.4%
14 4
1.5%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)8.0%
Missing163
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean1.86
Minimum0
Maximum7
Zeros5
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-06T21:26:40.161295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q11
median2
Q32
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2145582
Coefficient of variation (CV)0.65298826
Kurtosis3.8337164
Mean1.86
Median Absolute Deviation (MAD)1
Skewness1.6200697
Sum186
Variance1.4751515
MonotonicityNot monotonic
2024-04-06T21:26:40.402251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 40
 
15.2%
1 38
 
14.4%
3 7
 
2.7%
4 6
 
2.3%
0 5
 
1.9%
5 2
 
0.8%
7 1
 
0.4%
6 1
 
0.4%
(Missing) 163
62.0%
ValueCountFrequency (%)
0 5
 
1.9%
1 38
14.4%
2 40
15.2%
3 7
 
2.7%
4 6
 
2.3%
5 2
 
0.8%
6 1
 
0.4%
7 1
 
0.4%
ValueCountFrequency (%)
7 1
 
0.4%
6 1
 
0.4%
5 2
 
0.8%
4 6
 
2.3%
3 7
 
2.7%
2 40
15.2%
1 38
14.4%
0 5
 
1.9%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
242 
근린생활시설
 
15
사무실
 
3
기타
 
2
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.095057
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 242
92.0%
근린생활시설 15
 
5.7%
사무실 3
 
1.1%
기타 2
 
0.8%
교육연구시설 1
 
0.4%

Length

2024-04-06T21:26:40.657994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:40.871952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
92.0%
근린생활시설 15
 
5.7%
사무실 3
 
1.1%
기타 2
 
0.8%
교육연구시설 1
 
0.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
259 
0
 
4

Length

Max length4
Median length4
Mean length3.9543726
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> 259
98.5%
0 4
 
1.5%

Length

2024-04-06T21:26:41.063286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:41.262373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
98.5%
0 4
 
1.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
259 
0
 
4

Length

Max length4
Median length4
Mean length3.9543726
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> 259
98.5%
0 4
 
1.5%

Length

2024-04-06T21:26:41.442342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:41.646791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
98.5%
0 4
 
1.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
259 
0
 
4

Length

Max length4
Median length4
Mean length3.9543726
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> 259
98.5%
0 4
 
1.5%

Length

2024-04-06T21:26:41.839357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:42.037872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
98.5%
0 4
 
1.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
259 
0
 
4

Length

Max length4
Median length4
Mean length3.9543726
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> 259
98.5%
0 4
 
1.5%

Length

2024-04-06T21:26:42.230111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:42.422261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
98.5%
0 4
 
1.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
259 
0
 
4

Length

Max length4
Median length4
Mean length3.9543726
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> 259
98.5%
0 4
 
1.5%

Length

2024-04-06T21:26:42.652225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:42.837836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
98.5%
0 4
 
1.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing263
Missing (%)100.0%
Memory size2.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
223 
준공업지역
27 
일반주거지역
 
4
준주거지역
 
3
상업지역
 
2
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.1673004
Min length4

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 223
84.8%
준공업지역 27
 
10.3%
일반주거지역 4
 
1.5%
준주거지역 3
 
1.1%
상업지역 2
 
0.8%
중심상업지역 2
 
0.8%
전용주거지역 1
 
0.4%
공업지역 1
 
0.4%

Length

2024-04-06T21:26:43.072621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:26:43.358551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 223
84.8%
준공업지역 27
 
10.3%
일반주거지역 4
 
1.5%
준주거지역 3
 
1.1%
상업지역 2
 
0.8%
중심상업지역 2
 
0.8%
전용주거지역 1
 
0.4%
공업지역 1
 
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF224112199900000119991029<NA>1영업/정상13영업중<NA><NA><NA><NA>869-2657<NA>152842서울특별시 구로구 구로동 ***-*번지 선경빌딩 ****호서울특별시 구로구 공원로 *, ****호 (구로동,선경빌딩)8298에닉스2006-09-22 16:31:56I2018-08-31 23:59:59.0<NA>190410.047738443953.502895게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFF224112199900000219991227<NA>1영업/정상13영업중<NA><NA><NA><NA>2025-2706<NA>152848서울특별시 구로구 구로동 ***-**번지 코오롱싸이언스밸리*차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱싸이언스밸리*차)8378(주)넷돌2006-09-22 16:33:04I2018-08-31 23:59:59.0<NA>190980.657371442547.689998게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF224112200000000120000527<NA>1영업/정상13영업중<NA><NA><NA><NA>3282-3580<NA>152848서울특별시 구로구 구로동 ***-**번지 e-space B/D ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,e-space B/D)8381(주)위즈덤에이치앤에스2006-09-22 16:38:29I2018-08-31 23:59:59.0<NA>190423.216683442403.568114게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF224112200000000220000809<NA>1영업/정상13영업중<NA><NA><NA><NA>686-3553<NA>152721서울특별시 구로구 구로동 ****번지 중앙유통단지 라동 ****호서울특별시 구로구 경인로**길 **, 라동 ****호 (구로동,중앙유통단지)8217정림전자(주)2006-09-22 16:39:24I2018-08-31 23:59:59.0<NA>188840.515866444306.771105게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000CDFF224112200000000320001026<NA>1영업/정상13영업중<NA><NA><NA><NA>2625-2333<NA>152906서울특별시 구로구 온수동 ***-**번지서울특별시 구로구 부일로*나길 ** (온수동)8262(주)테크쓰리2006-09-22 16:40:12I2018-08-31 23:59:59.0<NA>183748.774952443464.789585게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFF224112200000000420001223<NA>3폐업3폐업20090316<NA><NA><NA>3282-3941<NA>152789서울특별시 구로구 구로동 ***-**번지 이스페이스아파트형공장 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,이스페이스아파트형공장)<NA>(주)씨엘양행2009-03-16 13:30:15I2018-08-31 23:59:59.0<NA>190423.216683442403.568114게임물배급업유통관련업<NA><NA>게임물0.0<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>
63160000CDFF224112200100000320010912<NA>1영업/정상13영업중<NA><NA><NA><NA>3272-4928<NA>152721서울특별시 구로구 구로동 ****번지 중앙유통단지 가동 ****호서울특별시 구로구 경인로**길 **, 가동 ****호 (구로동,중앙유통단지)8217(주)에이치티월드2006-09-22 18:47:19I2018-08-31 23:59:59.0<NA>188840.515866444306.771105게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFF224112200200000220020410<NA>1영업/정상13영업중<NA><NA><NA><NA>02-890-6767<NA><NA>서울특별시 구로구 구로동 ***-*번지 JNK디지터타워 ***호서울특별시 구로구 디지털로**길 ***, *층 ***호 (구로동, JNK디지털타워)8390(주)홍유니버셜2013-10-30 10:44:53I2018-08-31 23:59:59.0<NA>190822.851419442253.132896게임물배급업유통관련업18<NA>게임물57.831<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
83160000CDFF224112200200000320021106<NA>1영업/정상13영업중<NA><NA><NA><NA>3282-9500<NA><NA>서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동)8381동우에이앤이(주)2012-04-19 15:25:04I2018-08-31 23:59:59.0<NA>190423.216683442403.568114게임물배급업유통관련업9<NA>게임물2150.6972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFF224112200300000120030822<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>152878서울특별시 구로구 구로동 ***번지 코오롱싸이언스밸리*차 ****~****호서울특별시 구로구 디지털로**길 **, ****~****호 (구로동,코오롱싸이언스밸리*차)8378(주)모빌탑2009-02-03 10:35:33I2018-08-31 23:59:59.0<NA>191020.26443442460.919022게임물배급업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
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