Overview

Dataset statistics

Number of variables56
Number of observations105
Missing cells3011
Missing cells (%)51.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.0 KiB
Average record size in memory487.3 B

Variable types

Categorical16
Text9
DateTime3
Unsupported22
Numeric6

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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16705/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (64.7%)Imbalance
데이터갱신일자 is highly imbalanced (66.4%)Imbalance
문화체육업종명 is highly imbalanced (64.7%)Imbalance
문화사업자구분명 is highly imbalanced (64.7%)Imbalance
지상층수 is highly imbalanced (76.7%)Imbalance
지하층수 is highly imbalanced (73.1%)Imbalance
통로너비 is highly imbalanced (81.3%)Imbalance
조명시설조도 is highly imbalanced (81.3%)Imbalance
노래방실수 is highly imbalanced (81.3%)Imbalance
청소년실수 is highly imbalanced (81.3%)Imbalance
총게임기수 is highly imbalanced (81.3%)Imbalance
인허가취소일자 has 105 (100.0%) missing valuesMissing
폐업일자 has 81 (77.1%) missing valuesMissing
휴업시작일자 has 105 (100.0%) missing valuesMissing
휴업종료일자 has 105 (100.0%) missing valuesMissing
재개업일자 has 105 (100.0%) missing valuesMissing
전화번호 has 57 (54.3%) missing valuesMissing
소재지면적 has 105 (100.0%) missing valuesMissing
소재지우편번호 has 57 (54.3%) missing valuesMissing
도로명우편번호 has 14 (13.3%) missing valuesMissing
업태구분명 has 105 (100.0%) missing valuesMissing
총층수 has 95 (90.5%) missing valuesMissing
주변환경명 has 101 (96.2%) missing valuesMissing
제작취급품목내용 has 40 (38.1%) missing valuesMissing
시설면적 has 56 (53.3%) missing valuesMissing
건물용도명 has 99 (94.3%) missing valuesMissing
비상계단여부 has 105 (100.0%) missing valuesMissing
비상구여부 has 105 (100.0%) missing valuesMissing
자동환기여부 has 105 (100.0%) missing valuesMissing
청소년실여부 has 105 (100.0%) missing valuesMissing
특수조명여부 has 105 (100.0%) missing valuesMissing
방음시설여부 has 105 (100.0%) missing valuesMissing
비디오재생기명 has 105 (100.0%) missing valuesMissing
조명시설유무 has 105 (100.0%) missing valuesMissing
음향시설여부 has 105 (100.0%) missing valuesMissing
편의시설여부 has 105 (100.0%) missing valuesMissing
소방시설여부 has 105 (100.0%) missing valuesMissing
기존게임업외업종명 has 105 (100.0%) missing valuesMissing
제공게임물명 has 105 (100.0%) missing valuesMissing
공연장형태구분명 has 105 (100.0%) missing valuesMissing
품목명 has 105 (100.0%) missing valuesMissing
최초등록시점 has 105 (100.0%) missing valuesMissing
지역구분명 has 101 (96.2%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 3 (2.9%) zerosZeros
시설면적 has 2 (1.9%) zerosZeros

Reproduction

Analysis started2024-05-11 06:13:23.685145
Analysis finished2024-05-11 06:13:24.490488
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
3140000
105 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 105
100.0%

Length

2024-05-11T15:13:24.572404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:24.693117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 105
100.0%

관리번호
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-11T15:13:24.893150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2100
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

Unique105 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000003
3rd rowCDFF2241082000000001
4th rowCDFF2241082000000002
5th rowCDFF2241082000000003
ValueCountFrequency (%)
cdff2241081999000001 1
 
1.0%
cdff2241082009000003 1
 
1.0%
cdff2241082013000001 1
 
1.0%
cdff2241082012000009 1
 
1.0%
cdff2241082012000008 1
 
1.0%
cdff2241082012000006 1
 
1.0%
cdff2241082012000005 1
 
1.0%
cdff2241082012000004 1
 
1.0%
cdff2241082012000003 1
 
1.0%
cdff2241082012000002 1
 
1.0%
Other values (95) 95
90.5%
2024-05-11T15:13:25.288271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 801
38.1%
2 359
17.1%
F 210
 
10.0%
1 189
 
9.0%
4 128
 
6.1%
8 117
 
5.6%
C 105
 
5.0%
D 105
 
5.0%
3 25
 
1.2%
5 23
 
1.1%
Other values (3) 38
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1680
80.0%
Uppercase Letter 420
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 801
47.7%
2 359
21.4%
1 189
 
11.2%
4 128
 
7.6%
8 117
 
7.0%
3 25
 
1.5%
5 23
 
1.4%
9 15
 
0.9%
6 13
 
0.8%
7 10
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 210
50.0%
C 105
25.0%
D 105
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1680
80.0%
Latin 420
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 801
47.7%
2 359
21.4%
1 189
 
11.2%
4 128
 
7.6%
8 117
 
7.0%
3 25
 
1.5%
5 23
 
1.4%
9 15
 
0.9%
6 13
 
0.8%
7 10
 
0.6%
Latin
ValueCountFrequency (%)
F 210
50.0%
C 105
25.0%
D 105
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 801
38.1%
2 359
17.1%
F 210
 
10.0%
1 189
 
9.0%
4 128
 
6.1%
8 117
 
5.6%
C 105
 
5.0%
D 105
 
5.0%
3 25
 
1.2%
5 23
 
1.1%
Other values (3) 38
 
1.8%

인허가일자
Date

Distinct102
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum1999-06-24 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T15:13:25.501480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:25.685887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
81 
3
22 
4
 
2

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 81
77.1%
3 22
 
21.0%
4 2
 
1.9%

Length

2024-05-11T15:13:25.843957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:25.970358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
77.1%
3 22
 
21.0%
4 2
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업/정상
81 
폐업
22 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.5428571
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 81
77.1%
폐업 22
 
21.0%
취소/말소/만료/정지/중지 2
 
1.9%

Length

2024-05-11T15:13:26.166012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:26.313188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
77.1%
폐업 22
 
21.0%
취소/말소/만료/정지/중지 2
 
1.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
13
81 
3
22 
35
 
2

Length

Max length2
Median length2
Mean length1.7904762
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 81
77.1%
3 22
 
21.0%
35 2
 
1.9%

Length

2024-05-11T15:13:26.464416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:26.644562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 81
77.1%
3 22
 
21.0%
35 2
 
1.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업중
81 
폐업
22 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8095238
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
77.1%
폐업 22
 
21.0%
직권말소 2
 
1.9%

Length

2024-05-11T15:13:26.856164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:27.035555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
77.1%
폐업 22
 
21.0%
직권말소 2
 
1.9%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)95.8%
Missing81
Missing (%)77.1%
Memory size972.0 B
Minimum2006-07-04 00:00:00
Maximum2023-12-06 00:00:00
2024-05-11T15:13:27.181367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:27.348276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct46
Distinct (%)95.8%
Missing57
Missing (%)54.3%
Memory size972.0 B
2024-05-11T15:13:27.686961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.5625
Min length8

Characters and Unicode

Total characters459
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

Unique44 ?
Unique (%)91.7%

Sample

1st row2654-8008
2nd row02-3453-0701
3rd row2650-9912
4th row2166-2477
5th row2166-2522
ValueCountFrequency (%)
2652-0998 2
 
4.2%
02-6678-8200 2
 
4.2%
6091-6633 1
 
2.1%
2069-3189 1
 
2.1%
2654-8008 1
 
2.1%
2062-9702 1
 
2.1%
6091-2357 1
 
2.1%
2261-2192 1
 
2.1%
2261-9121 1
 
2.1%
6678-1120 1
 
2.1%
Other values (36) 36
75.0%
2024-05-11T15:13:28.284214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 81
17.6%
6 73
15.9%
- 57
12.4%
0 53
11.5%
1 38
8.3%
8 31
 
6.8%
7 31
 
6.8%
3 29
 
6.3%
9 25
 
5.4%
5 23
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 402
87.6%
Dash Punctuation 57
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 81
20.1%
6 73
18.2%
0 53
13.2%
1 38
9.5%
8 31
 
7.7%
7 31
 
7.7%
3 29
 
7.2%
9 25
 
6.2%
5 23
 
5.7%
4 18
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 459
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 81
17.6%
6 73
15.9%
- 57
12.4%
0 53
11.5%
1 38
8.3%
8 31
 
6.8%
7 31
 
6.8%
3 29
 
6.3%
9 25
 
5.4%
5 23
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 81
17.6%
6 73
15.9%
- 57
12.4%
0 53
11.5%
1 38
8.3%
8 31
 
6.8%
7 31
 
6.8%
3 29
 
6.3%
9 25
 
5.4%
5 23
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)27.1%
Missing57
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean158250.81
Minimum158050
Maximum158864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:13:28.541925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158050
5-th percentile158050
Q1158050
median158050
Q3158715.25
95-th percentile158855.15
Maximum158864
Range814
Interquartile range (IQR)665.25

Descriptive statistics

Standard deviation334.47823
Coefficient of variation (CV)0.0021135957
Kurtosis-0.7893494
Mean158250.81
Median Absolute Deviation (MAD)0
Skewness1.0954983
Sum7596039
Variance111875.69
MonotonicityNot monotonic
2024-05-11T15:13:28.731939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
158050 35
33.3%
158724 2
 
1.9%
158719 1
 
1.0%
158715 1
 
1.0%
158716 1
 
1.0%
158822 1
 
1.0%
158848 1
 
1.0%
158806 1
 
1.0%
158860 1
 
1.0%
158864 1
 
1.0%
Other values (3) 3
 
2.9%
(Missing) 57
54.3%
ValueCountFrequency (%)
158050 35
33.3%
158715 1
 
1.0%
158716 1
 
1.0%
158719 1
 
1.0%
158724 2
 
1.9%
158795 1
 
1.0%
158806 1
 
1.0%
158822 1
 
1.0%
158837 1
 
1.0%
158848 1
 
1.0%
ValueCountFrequency (%)
158864 1
1.0%
158860 1
1.0%
158859 1
1.0%
158848 1
1.0%
158837 1
1.0%
158822 1
1.0%
158806 1
1.0%
158795 1
1.0%
158724 2
1.9%
158719 1
1.0%

지번주소
Text

Distinct84
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-11T15:13:29.047584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length29.990476
Min length16

Characters and Unicode

Total characters3149
Distinct characters113
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)69.5%

Sample

1st row서울특별시 양천구 목동 ***-**번지
2nd row서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호
3rd row서울특별시 양천구 목동 ***번지 현대월드타워 ***호
4th row서울특별시 양천구 목동 ***-**번지 서울이동통신 **층
5th row서울특별시 양천구 목동 ***-**번지 현대드림타워 *층
ValueCountFrequency (%)
서울특별시 105
17.7%
양천구 105
17.7%
번지 89
15.0%
호 63
10.6%
목동 60
10.1%
신정동 32
 
5.4%
층 22
 
3.7%
19
 
3.2%
신월동 14
 
2.4%
현대**타워 10
 
1.7%
Other values (48) 74
12.5%
2024-05-11T15:13:29.495076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 766
24.3%
531
16.9%
동 120
 
3.8%
양 107
 
3.4%
천 107
 
3.4%
울 106
 
3.4%
서 106
 
3.4%
시 106
 
3.4%
구 105
 
3.3%
별 105
 
3.3%
Other values (103) 990
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1756
55.8%
Other Punctuation 766
24.3%
Space Separator 531
 
16.9%
Dash Punctuation 95
 
3.0%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
 
6.8%
양 107
 
6.1%
천 107
 
6.1%
울 106
 
6.0%
서 106
 
6.0%
시 106
 
6.0%
구 105
 
6.0%
별 105
 
6.0%
특 105
 
6.0%
지 96
 
5.5%
Other values (99) 693
39.5%
Other Punctuation
ValueCountFrequency (%)
* 766
100.0%
Space Separator
ValueCountFrequency (%)
531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1756
55.8%
Common 1392
44.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
 
6.8%
양 107
 
6.1%
천 107
 
6.1%
울 106
 
6.0%
서 106
 
6.0%
시 106
 
6.0%
구 105
 
6.0%
별 105
 
6.0%
특 105
 
6.0%
지 96
 
5.5%
Other values (99) 693
39.5%
Common
ValueCountFrequency (%)
* 766
55.0%
531
38.1%
- 95
 
6.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1756
55.8%
ASCII 1393
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 766
55.0%
531
38.1%
- 95
 
6.8%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 120
 
6.8%
양 107
 
6.1%
천 107
 
6.1%
울 106
 
6.0%
서 106
 
6.0%
시 106
 
6.0%
구 105
 
6.0%
별 105
 
6.0%
특 105
 
6.0%
지 96
 
5.5%
Other values (99) 693
39.5%

도로명주소
Text

Distinct91
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-11T15:13:29.783132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length35.009524
Min length22

Characters and Unicode

Total characters3676
Distinct characters128
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)78.1%

Sample

1st row서울특별시 양천구 목동동로 *** (목동)
2nd row서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)
3rd row서울특별시 양천구 목동서로 **, ***호 (목동,현대월드타워)
4th row서울특별시 양천구 목동동로 ***-* (목동,서울이동통신 **층)
5th row서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 *층)
ValueCountFrequency (%)
107
16.6%
서울특별시 105
16.3%
양천구 105
16.3%
호 64
9.9%
목동동로 38
 
5.9%
층 20
 
3.1%
신정동 19
 
2.9%
목동 18
 
2.8%
신월동 11
 
1.7%
목동서로 11
 
1.7%
Other values (89) 147
22.8%
2024-05-11T15:13:30.301620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 660
18.0%
602
16.4%
동 226
 
6.1%
, 141
 
3.8%
목 138
 
3.8%
서 118
 
3.2%
로 107
 
2.9%
양 106
 
2.9%
천 106
 
2.9%
시 106
 
2.9%
Other values (118) 1366
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2031
55.3%
Other Punctuation 801
 
21.8%
Space Separator 602
 
16.4%
Close Punctuation 105
 
2.9%
Open Punctuation 105
 
2.9%
Dash Punctuation 29
 
0.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 226
 
11.1%
목 138
 
6.8%
서 118
 
5.8%
로 107
 
5.3%
양 106
 
5.2%
천 106
 
5.2%
시 106
 
5.2%
울 106
 
5.2%
구 105
 
5.2%
별 105
 
5.2%
Other values (111) 808
39.8%
Other Punctuation
ValueCountFrequency (%)
* 660
82.4%
, 141
 
17.6%
Space Separator
ValueCountFrequency (%)
602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2031
55.3%
Common 1642
44.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 226
 
11.1%
목 138
 
6.8%
서 118
 
5.8%
로 107
 
5.3%
양 106
 
5.2%
천 106
 
5.2%
시 106
 
5.2%
울 106
 
5.2%
구 105
 
5.2%
별 105
 
5.2%
Other values (111) 808
39.8%
Common
ValueCountFrequency (%)
* 660
40.2%
602
36.7%
, 141
 
8.6%
) 105
 
6.4%
( 105
 
6.4%
- 29
 
1.8%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2031
55.3%
ASCII 1645
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 660
40.1%
602
36.6%
, 141
 
8.6%
) 105
 
6.4%
( 105
 
6.4%
- 29
 
1.8%
B 3
 
0.2%
Hangul
ValueCountFrequency (%)
동 226
 
11.1%
목 138
 
6.8%
서 118
 
5.8%
로 107
 
5.3%
양 106
 
5.2%
천 106
 
5.2%
시 106
 
5.2%
울 106
 
5.2%
구 105
 
5.2%
별 105
 
5.2%
Other values (111) 808
39.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)51.6%
Missing14
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean12972.78
Minimum7903
Maximum158825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:13:30.484932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7903
5-th percentile7934.5
Q17983
median7995
Q38025.5
95-th percentile8100
Maximum158825
Range150922
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation27072.3
Coefficient of variation (CV)2.0868541
Kurtosis26.887277
Mean12972.78
Median Absolute Deviation (MAD)16
Skewness5.3194553
Sum1180523
Variance7.3290943 × 108
MonotonicityNot monotonic
2024-05-11T15:13:30.738633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
7995 16
15.2%
7997 10
 
9.5%
7983 7
 
6.7%
7984 4
 
3.8%
7971 3
 
2.9%
8028 3
 
2.9%
7937 3
 
2.9%
8081 2
 
1.9%
8060 2
 
1.9%
7920 2
 
1.9%
Other values (37) 39
37.1%
(Missing) 14
 
13.3%
ValueCountFrequency (%)
7903 1
 
1.0%
7920 2
1.9%
7922 1
 
1.0%
7933 1
 
1.0%
7936 1
 
1.0%
7937 3
2.9%
7939 1
 
1.0%
7943 1
 
1.0%
7946 1
 
1.0%
7953 1
 
1.0%
ValueCountFrequency (%)
158825 1
1.0%
158819 1
1.0%
158723 1
1.0%
8101 1
1.0%
8100 2
1.9%
8092 1
1.0%
8087 1
1.0%
8086 1
1.0%
8082 1
1.0%
8081 2
1.9%

사업장명
Text

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-05-11T15:13:31.089400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length7.3619048
Min length2

Characters and Unicode

Total characters773
Distinct characters211
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row(주)유니아나
2nd row매직인터렉티브(주)
3rd row(주)웰컴스포츠닷컴
4th row(주)빅셀미디어코리아
5th row(주)비앤비코리아
ValueCountFrequency (%)
주식회사 7
 
5.6%
소프트 3
 
2.4%
주)유니아나 2
 
1.6%
탑 2
 
1.6%
게임25 1
 
0.8%
스토리에그 1
 
0.8%
센클라우드 1
 
0.8%
주)진석게임즈 1
 
0.8%
주)나린기획 1
 
0.8%
제이앤피 1
 
0.8%
Other values (106) 106
84.1%
2024-05-11T15:13:31.684056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 47
 
6.1%
) 42
 
5.4%
( 41
 
5.3%
트 26
 
3.4%
이 25
 
3.2%
스 23
 
3.0%
21
 
2.7%
소 18
 
2.3%
프 17
 
2.2%
에 17
 
2.2%
Other values (201) 496
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
74.8%
Lowercase Letter 49
 
6.3%
Close Punctuation 42
 
5.4%
Open Punctuation 41
 
5.3%
Uppercase Letter 35
 
4.5%
Space Separator 21
 
2.7%
Decimal Number 5
 
0.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
8.1%
트 26
 
4.5%
이 25
 
4.3%
스 23
 
4.0%
소 18
 
3.1%
프 17
 
2.9%
에 17
 
2.9%
아 14
 
2.4%
인 10
 
1.7%
리 10
 
1.7%
Other values (157) 371
64.2%
Uppercase Letter
ValueCountFrequency (%)
P 4
11.4%
B 3
 
8.6%
W 3
 
8.6%
T 3
 
8.6%
I 3
 
8.6%
R 2
 
5.7%
V 2
 
5.7%
F 2
 
5.7%
O 2
 
5.7%
D 2
 
5.7%
Other values (9) 9
25.7%
Lowercase Letter
ValueCountFrequency (%)
n 7
14.3%
i 7
14.3%
e 7
14.3%
t 4
8.2%
s 4
8.2%
r 4
8.2%
u 2
 
4.1%
c 2
 
4.1%
p 2
 
4.1%
o 2
 
4.1%
Other values (7) 8
16.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
6 1
20.0%
5 1
20.0%
1 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
74.8%
Common 111
 
14.4%
Latin 84
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
8.1%
트 26
 
4.5%
이 25
 
4.3%
스 23
 
4.0%
소 18
 
3.1%
프 17
 
2.9%
에 17
 
2.9%
아 14
 
2.4%
인 10
 
1.7%
리 10
 
1.7%
Other values (157) 371
64.2%
Latin
ValueCountFrequency (%)
n 7
 
8.3%
i 7
 
8.3%
e 7
 
8.3%
P 4
 
4.8%
t 4
 
4.8%
s 4
 
4.8%
r 4
 
4.8%
B 3
 
3.6%
W 3
 
3.6%
T 3
 
3.6%
Other values (26) 38
45.2%
Common
ValueCountFrequency (%)
) 42
37.8%
( 41
36.9%
21
18.9%
. 2
 
1.8%
2 2
 
1.8%
6 1
 
0.9%
5 1
 
0.9%
1 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
74.8%
ASCII 195
 
25.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 47
 
8.1%
트 26
 
4.5%
이 25
 
4.3%
스 23
 
4.0%
소 18
 
3.1%
프 17
 
2.9%
에 17
 
2.9%
아 14
 
2.4%
인 10
 
1.7%
리 10
 
1.7%
Other values (157) 371
64.2%
ASCII
ValueCountFrequency (%)
) 42
21.5%
( 41
21.0%
21
 
10.8%
n 7
 
3.6%
i 7
 
3.6%
e 7
 
3.6%
P 4
 
2.1%
t 4
 
2.1%
s 4
 
2.1%
r 4
 
2.1%
Other values (34) 54
27.7%

최종수정일자
Date

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum2006-02-23 11:11:56
Maximum2024-03-22 10:14:16
2024-05-11T15:13:31.904004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:32.145201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
I
98 
U
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 98
93.3%
U 7
 
6.7%

Length

2024-05-11T15:13:32.376983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:32.525548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 98
93.3%
u 7
 
6.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct20
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2018-08-31 23:59:59.0
86 
2021-01-16 02:40:00.0
 
1
2022-11-02 00:09:00.0
 
1
2021-10-31 23:05:00.0
 
1
2018-10-21 02:36:12.0
 
1
Other values (15)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique19 ?
Unique (%)18.1%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 86
81.9%
2021-01-16 02:40:00.0 1
 
1.0%
2022-11-02 00:09:00.0 1
 
1.0%
2021-10-31 23:05:00.0 1
 
1.0%
2018-10-21 02:36:12.0 1
 
1.0%
2019-04-03 02:20:12.0 1
 
1.0%
2020-04-09 00:23:32.0 1
 
1.0%
2021-12-12 02:40:00.0 1
 
1.0%
2021-08-04 02:40:00.0 1
 
1.0%
2021-12-05 22:04:00.0 1
 
1.0%
Other values (10) 10
 
9.5%

Length

2024-05-11T15:13:32.646077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 86
41.0%
23:59:59.0 86
41.0%
02:40:00.0 3
 
1.4%
2022-11-02 2
 
1.0%
22:04:00.0 2
 
1.0%
00:22:48.0 1
 
0.5%
2021-06-24 1
 
0.5%
00:22:53.0 1
 
0.5%
2021-07-28 1
 
0.5%
00:22:52.0 1
 
0.5%
Other values (26) 26
 
12.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct66
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187965.57
Minimum185035.11
Maximum189519.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:13:32.808689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185035.11
5-th percentile185337.34
Q1187265.65
median188572.02
Q3188931.64
95-th percentile189224.68
Maximum189519.86
Range4484.7494
Interquartile range (IQR)1665.9924

Descriptive statistics

Standard deviation1193.1192
Coefficient of variation (CV)0.0063475414
Kurtosis-0.054063138
Mean187965.57
Median Absolute Deviation (MAD)579.19196
Skewness-0.96934815
Sum19736384
Variance1423533.5
MonotonicityNot monotonic
2024-05-11T15:13:33.369602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188584.345447275 14
 
13.3%
188953.066831076 10
 
9.5%
189151.208015925 4
 
3.8%
188931.638471219 3
 
2.9%
187823.500716444 3
 
2.9%
186246.991152497 3
 
2.9%
189519.862506193 3
 
2.9%
188977.171050288 3
 
2.9%
189224.684682604 2
 
1.9%
187914.592752385 2
 
1.9%
Other values (56) 58
55.2%
ValueCountFrequency (%)
185035.113128292 1
1.0%
185055.626219081 1
1.0%
185114.104746705 1
1.0%
185143.375565775 1
1.0%
185189.161953746 1
1.0%
185231.4166243 1
1.0%
185761.054168055 1
1.0%
185762.48333563 1
1.0%
185911.392462877 1
1.0%
185967.454226746 1
1.0%
ValueCountFrequency (%)
189519.862506193 3
 
2.9%
189423.528553032 1
 
1.0%
189311.02246611 1
 
1.0%
189224.684682604 2
 
1.9%
189151.208015925 4
 
3.8%
189090.566157545 1
 
1.0%
188977.171050288 3
 
2.9%
188953.066831076 10
9.5%
188951.756197598 1
 
1.0%
188931.638471219 3
 
2.9%

좌표정보(Y)
Real number (ℝ)

Distinct66
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447296.88
Minimum445267.52
Maximum449610.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:13:33.556671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445267.52
5-th percentile445668.89
Q1446771.97
median447255.07
Q3447750.85
95-th percentile448988.28
Maximum449610.72
Range4343.1967
Interquartile range (IQR)978.87165

Descriptive statistics

Standard deviation879.46224
Coefficient of variation (CV)0.0019661712
Kurtosis0.41882753
Mean447296.88
Median Absolute Deviation (MAD)493.93293
Skewness0.184178
Sum46966172
Variance773453.83
MonotonicityNot monotonic
2024-05-11T15:13:33.742204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447255.070457495 14
 
13.3%
447333.569187997 10
 
9.5%
448200.067716589 4
 
3.8%
449327.860338868 3
 
2.9%
447457.457884414 3
 
2.9%
446545.508907396 3
 
2.9%
448282.256149224 3
 
2.9%
447466.355031447 3
 
2.9%
448126.370368706 2
 
1.9%
448184.675376703 2
 
1.9%
Other values (56) 58
55.2%
ValueCountFrequency (%)
445267.518771867 1
1.0%
445428.447103333 1
1.0%
445478.395298097 1
1.0%
445578.857500994 1
1.0%
445610.277402204 1
1.0%
445651.658984887 1
1.0%
445737.791091401 1
1.0%
445864.900789493 1
1.0%
445920.374891605 1
1.0%
446039.977899188 1
1.0%
ValueCountFrequency (%)
449610.71549451 1
 
1.0%
449327.860338868 3
2.9%
449112.890911306 1
 
1.0%
449025.950999964 1
 
1.0%
448837.584130391 1
 
1.0%
448612.241765973 1
 
1.0%
448304.465258547 1
 
1.0%
448282.256149224 3
2.9%
448276.142483848 1
 
1.0%
448240.505845376 1
 
1.0%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
게임물제작업
98 
<NA>
 
7

Length

Max length6
Median length6
Mean length5.8666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 98
93.3%
<NA> 7
 
6.7%

Length

2024-05-11T15:13:33.933204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:34.099386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 98
93.3%
na 7
 
6.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
유통관련업
98 
<NA>
 
7

Length

Max length5
Median length5
Mean length4.9333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 98
93.3%
<NA> 7
 
6.7%

Length

2024-05-11T15:13:34.253417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:34.396826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 98
93.3%
na 7
 
6.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)60.0%
Missing95
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean4.3
Minimum0
Maximum10
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:13:34.552443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median5.5
Q36
95-th percentile9.1
Maximum10
Range10
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.591657
Coefficient of variation (CV)0.83526907
Kurtosis-1.2939641
Mean4.3
Median Absolute Deviation (MAD)3
Skewness0.00071943934
Sum43
Variance12.9
MonotonicityNot monotonic
2024-05-11T15:13:34.722292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 3
 
2.9%
0 3
 
2.9%
8 1
 
1.0%
5 1
 
1.0%
10 1
 
1.0%
2 1
 
1.0%
(Missing) 95
90.5%
ValueCountFrequency (%)
0 3
2.9%
2 1
 
1.0%
5 1
 
1.0%
6 3
2.9%
8 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
10 1
 
1.0%
8 1
 
1.0%
6 3
2.9%
5 1
 
1.0%
2 1
 
1.0%
0 3
2.9%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing101
Missing (%)96.2%
Memory size972.0 B
2024-05-11T15:13:34.897448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters14
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row주택가주변
3rd row주택가주변
4th row기타
ValueCountFrequency (%)
기타 2
50.0%
주택가주변 2
50.0%
2024-05-11T15:13:35.326608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
28.6%
기 2
14.3%
타 2
14.3%
택 2
14.3%
가 2
14.3%
변 2
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
28.6%
기 2
14.3%
타 2
14.3%
택 2
14.3%
가 2
14.3%
변 2
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
28.6%
기 2
14.3%
타 2
14.3%
택 2
14.3%
가 2
14.3%
변 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
28.6%
기 2
14.3%
타 2
14.3%
택 2
14.3%
가 2
14.3%
변 2
14.3%

제작취급품목내용
Text

MISSING 

Distinct41
Distinct (%)63.1%
Missing40
Missing (%)38.1%
Memory size972.0 B
2024-05-11T15:13:35.609715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length15
Mean length6.5538462
Min length2

Characters and Unicode

Total characters426
Distinct characters74
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)52.3%

Sample

1st row모바일게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 18
19.6%
게임 10
 
10.9%
게임소프트웨어 5
 
5.4%
소프트웨어 5
 
5.4%
모바일게임 4
 
4.3%
온라인게임 3
 
3.3%
온라인 3
 
3.3%
모바일 2
 
2.2%
게임물제작 2
 
2.2%
보드게임 2
 
2.2%
Other values (36) 38
41.3%
2024-05-11T15:13:36.158793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 65
 
15.3%
임 65
 
15.3%
27
 
6.3%
물 24
 
5.6%
프 15
 
3.5%
소 13
 
3.1%
인 13
 
3.1%
트 12
 
2.8%
어 12
 
2.8%
라 12
 
2.8%
Other values (64) 168
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
89.2%
Space Separator 27
 
6.3%
Other Punctuation 8
 
1.9%
Uppercase Letter 6
 
1.4%
Lowercase Letter 3
 
0.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 65
17.1%
임 65
17.1%
물 24
 
6.3%
프 15
 
3.9%
소 13
 
3.4%
인 13
 
3.4%
트 12
 
3.2%
어 12
 
3.2%
라 12
 
3.2%
온 11
 
2.9%
Other values (53) 138
36.3%
Uppercase Letter
ValueCountFrequency (%)
P 3
50.0%
R 1
 
16.7%
G 1
 
16.7%
A 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
? 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
m 2
66.7%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
89.2%
Common 37
 
8.7%
Latin 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 65
17.1%
임 65
17.1%
물 24
 
6.3%
프 15
 
3.9%
소 13
 
3.4%
인 13
 
3.4%
트 12
 
3.2%
어 12
 
3.2%
라 12
 
3.2%
온 11
 
2.9%
Other values (53) 138
36.3%
Latin
ValueCountFrequency (%)
P 3
33.3%
m 2
22.2%
R 1
 
11.1%
o 1
 
11.1%
G 1
 
11.1%
A 1
 
11.1%
Common
ValueCountFrequency (%)
27
73.0%
, 7
 
18.9%
? 1
 
2.7%
( 1
 
2.7%
) 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
89.2%
ASCII 46
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 65
17.1%
임 65
17.1%
물 24
 
6.3%
프 15
 
3.9%
소 13
 
3.4%
인 13
 
3.4%
트 12
 
3.2%
어 12
 
3.2%
라 12
 
3.2%
온 11
 
2.9%
Other values (53) 138
36.3%
ASCII
ValueCountFrequency (%)
27
58.7%
, 7
 
15.2%
P 3
 
6.5%
m 2
 
4.3%
? 1
 
2.2%
R 1
 
2.2%
( 1
 
2.2%
) 1
 
2.2%
o 1
 
2.2%
G 1
 
2.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)83.7%
Missing56
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean77.562653
Minimum0
Maximum726.34
Zeros2
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:13:36.381181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q132
median45.51
Q374
95-th percentile223.754
Maximum726.34
Range726.34
Interquartile range (IQR)42

Descriptive statistics

Standard deviation112.48933
Coefficient of variation (CV)1.4503028
Kurtosis23.409234
Mean77.562653
Median Absolute Deviation (MAD)22.53
Skewness4.3630262
Sum3800.57
Variance12653.85
MonotonicityNot monotonic
2024-05-11T15:13:36.575684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
32.0 3
 
2.9%
33.0 3
 
2.9%
5.0 3
 
2.9%
0.0 2
 
1.9%
20.0 2
 
1.9%
32.76 1
 
1.0%
105.6 1
 
1.0%
284.76 1
 
1.0%
123.24 1
 
1.0%
61.54 1
 
1.0%
Other values (31) 31
29.5%
(Missing) 56
53.3%
ValueCountFrequency (%)
0.0 2
1.9%
3.5 1
 
1.0%
5.0 3
2.9%
19.8 1
 
1.0%
20.0 2
1.9%
21.64 1
 
1.0%
29.8 1
 
1.0%
30.0 1
 
1.0%
32.0 3
2.9%
32.76 1
 
1.0%
ValueCountFrequency (%)
726.34 1
1.0%
284.76 1
1.0%
240.79 1
1.0%
198.2 1
1.0%
193.0 1
1.0%
162.64 1
1.0%
123.24 1
1.0%
114.75 1
1.0%
105.6 1
1.0%
104.9 1
1.0%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
96 
5
 
3
0
 
3
6
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7428571
Min length1

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
91.4%
5 3
 
2.9%
0 3
 
2.9%
6 1
 
1.0%
4 1
 
1.0%
2 1
 
1.0%

Length

2024-05-11T15:13:36.789891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:36.974657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
91.4%
5 3
 
2.9%
0 3
 
2.9%
6 1
 
1.0%
4 1
 
1.0%
2 1
 
1.0%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
96 
1
 
5
0
 
3
2
 
1

Length

Max length4
Median length4
Mean length3.7428571
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
91.4%
1 5
 
4.8%
0 3
 
2.9%
2 1
 
1.0%

Length

2024-05-11T15:13:37.153096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:37.297087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
91.4%
1 5
 
4.8%
0 3
 
2.9%
2 1
 
1.0%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing99
Missing (%)94.3%
Memory size972.0 B
2024-05-11T15:13:37.475107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters34
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row농업생산시설
2nd row근린생활시설
3rd row유통시설
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 4
66.7%
농업생산시설 1
 
16.7%
유통시설 1
 
16.7%
2024-05-11T15:13:37.910763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 4
11.8%
린 4
11.8%
활 4
11.8%
농 1
 
2.9%
업 1
 
2.9%
산 1
 
2.9%
유 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 4
11.8%
린 4
11.8%
활 4
11.8%
농 1
 
2.9%
업 1
 
2.9%
산 1
 
2.9%
유 1
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 4
11.8%
린 4
11.8%
활 4
11.8%
농 1
 
2.9%
업 1
 
2.9%
산 1
 
2.9%
유 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 4
11.8%
린 4
11.8%
활 4
11.8%
농 1
 
2.9%
업 1
 
2.9%
산 1
 
2.9%
유 1
 
2.9%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
102 
0
 
3

Length

Max length4
Median length4
Mean length3.9142857
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> 102
97.1%
0 3
 
2.9%

Length

2024-05-11T15:13:38.091400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:38.231236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
97.1%
0 3
 
2.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
102 
0
 
3

Length

Max length4
Median length4
Mean length3.9142857
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> 102
97.1%
0 3
 
2.9%

Length

2024-05-11T15:13:38.382435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:38.519446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
97.1%
0 3
 
2.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
102 
0
 
3

Length

Max length4
Median length4
Mean length3.9142857
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> 102
97.1%
0 3
 
2.9%

Length

2024-05-11T15:13:38.649848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:38.791489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
97.1%
0 3
 
2.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
102 
0
 
3

Length

Max length4
Median length4
Mean length3.9142857
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> 102
97.1%
0 3
 
2.9%

Length

2024-05-11T15:13:38.924123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:39.076699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
97.1%
0 3
 
2.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
102 
0
 
3

Length

Max length4
Median length4
Mean length3.9142857
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> 102
97.1%
0 3
 
2.9%

Length

2024-05-11T15:13:39.274639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:39.457915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
97.1%
0 3
 
2.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing101
Missing (%)96.2%
Memory size972.0 B
2024-05-11T15:13:39.626414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.75
Min length5

Characters and Unicode

Total characters23
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row일반주거지역
2nd row준공업지역
3rd row일반주거지역
4th row일반주거지역
ValueCountFrequency (%)
일반주거지역 3
75.0%
준공업지역 1
 
25.0%
2024-05-11T15:13:40.049511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 3
13.0%
거 3
13.0%
준 1
 
4.3%
공 1
 
4.3%
업 1
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 3
13.0%
거 3
13.0%
준 1
 
4.3%
공 1
 
4.3%
업 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 3
13.0%
거 3
13.0%
준 1
 
4.3%
공 1
 
4.3%
업 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 3
13.0%
거 3
13.0%
준 1
 
4.3%
공 1
 
4.3%
업 1
 
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF224108199900000119990624<NA>1영업/정상13영업중<NA><NA><NA><NA>2654-8008<NA>158050서울특별시 양천구 목동 ***-**번지서울특별시 양천구 목동동로 *** (목동)7983(주)유니아나2006-03-31 13:31:55I2018-08-31 23:59:59.0<NA>189224.684683448126.370369게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000CDFF224108199900000319991007<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3453-0701<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)7995매직인터렉티브(주)2007-01-11 16:20:22I2018-08-31 23:59:59.0<NA>188584.345447447255.070457게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000CDFF224108200000000120000411<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158050서울특별시 양천구 목동 ***번지 현대월드타워 ***호서울특별시 양천구 목동서로 **, ***호 (목동,현대월드타워)7983(주)웰컴스포츠닷컴2006-03-27 15:35:47I2018-08-31 23:59:59.0<NA>189151.208016448200.067717게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000CDFF224108200000000220000415<NA>1영업/정상13영업중<NA><NA><NA><NA>2650-9912<NA>158719서울특별시 양천구 목동 ***-**번지 서울이동통신 **층서울특별시 양천구 목동동로 ***-* (목동,서울이동통신 **층)7995(주)빅셀미디어코리아2006-03-27 15:41:14I2018-08-31 23:59:59.0<NA>188572.016057447304.797407게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000CDFF224108200000000320000427<NA>1영업/정상13영업중<NA><NA><NA><NA>2166-2477<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 *층서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 *층)7995(주)비앤비코리아2006-03-27 15:48:53I2018-08-31 23:59:59.0<NA>188584.345447447255.070457게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000CDFF224108200000000420000725<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158715서울특별시 양천구 목동 ***-*번지 방송회관서울특별시 양천구 목동동로 *** (목동,방송회관)7995(주)아이비전테크2006-03-27 16:02:21I2018-08-31 23:59:59.0<NA>188572.108663447198.912626게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63140000CDFF224108200000000520000719<NA>1영업/정상13영업중<NA><NA><NA><NA>2166-2522<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)7995(주)매직큐브2006-03-29 10:55:12I2018-08-31 23:59:59.0<NA>188584.345447447255.070457게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000CDFF224108200000000620000729<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6678-8200<NA>158050서울특별시 양천구 목동 ***-*번지 기독교방송 **층서울특별시 양천구 목동서로 ***-* (목동,기독교방송 **층)7997(주)조이캐스트2007-01-11 16:38:54I2018-08-31 23:59:59.0<NA>188871.512838447348.132133게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000CDFF224108200100000120010208<NA>1영업/정상13영업중<NA><NA><NA><NA>2654-4963<NA>158716서울특별시 양천구 목동 ***-**번지 기산빌딩*층서울특별시 양천구 오목로 *** (목동,기산빌딩*층)7999(주)블루몽크 인터랙티브2006-03-27 16:09:02I2018-08-31 23:59:59.0<NA>188951.756198446969.38865게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000CDFF224108200100000220010809<NA>1영업/정상13영업중<NA><NA><NA><NA>2062-0808<NA>158050서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)7995대헌정보2006-03-27 16:14:56I2018-08-31 23:59:59.0<NA>188584.345447447255.070457게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
953140000CDFF224108202000000520200907<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 **** 벽산블루밍*단지 ***동 ***호서울특별시 양천구 신정로**길 **, ***동 ***호 (신월동, 벽산블루밍*단지)8081뉴문62020-09-07 18:16:12I2020-09-09 00:23:12.0<NA>185911.392463445737.791091게임물제작업유통관련업<NA><NA>모바일게임59.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963140000CDFF224108202100000120210330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****-*서울특별시 양천구 중앙로**길 **, ***-*B호 (신정동)8086주식회사에이치에스소프트2021-03-30 17:41:18I2021-04-01 00:22:58.0<NA>187523.574256446408.633352게임물제작업유통관련업<NA><NA>게임소프트웨어68.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973140000CDFF224108202100000220210622<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-* *층서울특별시 양천구 곰달래로*길 **, *층 (신월동)7920종합PW엔터테이먼트2021-06-22 17:19:48I2021-06-24 00:22:53.0<NA>185114.104747447927.173773게임물제작업유통관련업<NA><NA>모바일게임65.11<NA><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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993140000CDFF224108202100000420210923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-* *층 **호서울특별시 양천구 목동로**길 **, *층 **호 (신정동)8022이지 워드(YZ WORD)2021-09-23 13:15:42I2021-09-25 00:22:48.0<NA>187838.825896446966.459279게임물제작업유통관련업0<NA>콘솔 게임0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1003140000CDFF224108202100000520211019<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 **** 신정동 아이파크서울특별시 양천구 목동동로 ***, ***동 ****호 (신정동, 신정동 아이파크)8010Team Corn Field2021-10-19 09:52:37I2021-10-21 00:22:46.0<NA>188629.222126446609.345448게임물제작업유통관련업0<NA>게임, 패키지 게임114.7500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1013140000CDFF22410820230000012023-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-** 수정아파트 ***동 ***호서울특별시 양천구 신정로**길 **, ***동 ***호 (신정동, 수정아파트)8081토리에트2023-03-06 17:23:50I2022-12-03 00:08:00.0<NA>185967.454227445578.857501<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1023140000CDFF22410820230000022023-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 *** 목동신시가지아파트*단지서울특별시 양천구 목동서로 ***, ***동 **층 ****호 (목동, 목동신시가지아파트*단지)7989생각컴퍼니2023-12-01 19:58:29I2022-11-02 00:03:00.0<NA>188580.483662447750.845211<NA><NA><NA><NA><NA><NA><NA><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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1043140000CDFF22410820240000022024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-*서울특별시 양천구 오목로**길 **-**, ***호 (신정동)8025주식회사 루마고2024-03-22 10:14:16I2023-12-02 22:04:00.0<NA>187217.667026446748.116675<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>