Overview

Dataset statistics

Number of variables56
Number of observations181
Missing cells4816
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.0 KiB
Average record size in memory486.7 B

Variable types

Categorical18
Text6
DateTime4
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16693/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.0%)Imbalance
영업상태명 is highly imbalanced (53.0%)Imbalance
상세영업상태코드 is highly imbalanced (53.0%)Imbalance
상세영업상태명 is highly imbalanced (53.0%)Imbalance
데이터갱신구분 is highly imbalanced (64.8%)Imbalance
문화체육업종명 is highly imbalanced (66.9%)Imbalance
문화사업자구분명 is highly imbalanced (66.9%)Imbalance
총층수 is highly imbalanced (87.7%)Imbalance
주변환경명 is highly imbalanced (69.7%)Imbalance
지하층수 is highly imbalanced (89.0%)Imbalance
건물용도명 is highly imbalanced (73.1%)Imbalance
통로너비 is highly imbalanced (87.8%)Imbalance
조명시설조도 is highly imbalanced (87.8%)Imbalance
노래방실수 is highly imbalanced (87.8%)Imbalance
청소년실수 is highly imbalanced (87.8%)Imbalance
총게임기수 is highly imbalanced (87.8%)Imbalance
지역구분명 is highly imbalanced (75.5%)Imbalance
인허가취소일자 has 181 (100.0%) missing valuesMissing
폐업일자 has 146 (80.7%) missing valuesMissing
휴업시작일자 has 181 (100.0%) missing valuesMissing
휴업종료일자 has 181 (100.0%) missing valuesMissing
재개업일자 has 181 (100.0%) missing valuesMissing
전화번호 has 45 (24.9%) missing valuesMissing
소재지면적 has 181 (100.0%) missing valuesMissing
소재지우편번호 has 61 (33.7%) missing valuesMissing
도로명주소 has 26 (14.4%) missing valuesMissing
도로명우편번호 has 134 (74.0%) missing valuesMissing
업태구분명 has 181 (100.0%) missing valuesMissing
좌표정보(X) has 9 (5.0%) missing valuesMissing
좌표정보(Y) has 9 (5.0%) missing valuesMissing
제작취급품목내용 has 118 (65.2%) missing valuesMissing
시설면적 has 126 (69.6%) missing valuesMissing
지상층수 has 160 (88.4%) missing valuesMissing
비상계단여부 has 181 (100.0%) missing valuesMissing
비상구여부 has 181 (100.0%) missing valuesMissing
자동환기여부 has 181 (100.0%) missing valuesMissing
청소년실여부 has 181 (100.0%) missing valuesMissing
특수조명여부 has 181 (100.0%) missing valuesMissing
방음시설여부 has 181 (100.0%) missing valuesMissing
비디오재생기명 has 181 (100.0%) missing valuesMissing
조명시설유무 has 181 (100.0%) missing valuesMissing
음향시설여부 has 181 (100.0%) missing valuesMissing
편의시설여부 has 181 (100.0%) missing valuesMissing
소방시설여부 has 181 (100.0%) missing valuesMissing
기존게임업외업종명 has 181 (100.0%) missing valuesMissing
제공게임물명 has 181 (100.0%) missing valuesMissing
공연장형태구분명 has 181 (100.0%) missing valuesMissing
품목명 has 181 (100.0%) missing valuesMissing
최초등록시점 has 181 (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
지상층수 has 3 (1.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:28:24.796723
Analysis finished2024-05-11 06:28:25.991830
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3020000
181 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 181
100.0%

Length

2024-05-11T15:28:26.096917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:26.261926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 181
100.0%

관리번호
Text

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:28:26.571889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3620
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

Unique181 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000002
3rd rowCDFF2241081999000004
4th rowCDFF2241081999000005
5th rowCDFF2241081999000006
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.6%
cdff2241082003000004 1
 
0.6%
cdff2241082007000001 1
 
0.6%
cdff2241082007000002 1
 
0.6%
cdff2241082007000003 1
 
0.6%
cdff2241082007000004 1
 
0.6%
cdff2241082007000007 1
 
0.6%
cdff2241082007000008 1
 
0.6%
cdff2241082008000001 1
 
0.6%
cdff2241082009000001 1
 
0.6%
Other values (171) 171
94.5%
2024-05-11T15:28:27.160505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1322
36.5%
2 599
16.5%
F 362
 
10.0%
1 348
 
9.6%
4 212
 
5.9%
8 199
 
5.5%
C 181
 
5.0%
D 181
 
5.0%
9 97
 
2.7%
3 36
 
1.0%
Other values (3) 83
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2896
80.0%
Uppercase Letter 724
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1322
45.6%
2 599
20.7%
1 348
 
12.0%
4 212
 
7.3%
8 199
 
6.9%
9 97
 
3.3%
3 36
 
1.2%
5 32
 
1.1%
6 28
 
1.0%
7 23
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 362
50.0%
C 181
25.0%
D 181
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2896
80.0%
Latin 724
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1322
45.6%
2 599
20.7%
1 348
 
12.0%
4 212
 
7.3%
8 199
 
6.9%
9 97
 
3.3%
3 36
 
1.2%
5 32
 
1.1%
6 28
 
1.0%
7 23
 
0.8%
Latin
ValueCountFrequency (%)
F 362
50.0%
C 181
25.0%
D 181
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1322
36.5%
2 599
16.5%
F 362
 
10.0%
1 348
 
9.6%
4 212
 
5.9%
8 199
 
5.5%
C 181
 
5.0%
D 181
 
5.0%
9 97
 
2.7%
3 36
 
1.0%
Other values (3) 83
 
2.3%

인허가일자
Date

Distinct168
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1999-06-21 00:00:00
Maximum2023-02-13 00:00:00
2024-05-11T15:28:27.419050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:27.655617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
146 
3
34 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 146
80.7%
3 34
 
18.8%
5 1
 
0.6%

Length

2024-05-11T15:28:27.931663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:28.085943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 146
80.7%
3 34
 
18.8%
5 1
 
0.6%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업/정상
146 
폐업
34 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.4530387
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 146
80.7%
폐업 34
 
18.8%
제외/삭제/전출 1
 
0.6%

Length

2024-05-11T15:28:28.276627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:28.447376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 146
80.7%
폐업 34
 
18.8%
제외/삭제/전출 1
 
0.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
13
146 
3
34 
15
 
1

Length

Max length2
Median length2
Mean length1.8121547
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 146
80.7%
3 34
 
18.8%
15 1
 
0.6%

Length

2024-05-11T15:28:28.627739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:28.888063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 146
80.7%
3 34
 
18.8%
15 1
 
0.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업중
146 
폐업
34 
전출
 
1

Length

Max length3
Median length3
Mean length2.8066298
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 146
80.7%
폐업 34
 
18.8%
전출 1
 
0.6%

Length

2024-05-11T15:28:29.113327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:29.312217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 146
80.7%
폐업 34
 
18.8%
전출 1
 
0.6%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)94.3%
Missing146
Missing (%)80.7%
Memory size1.5 KiB
Minimum2007-11-16 00:00:00
Maximum2024-03-08 00:00:00
2024-05-11T15:28:29.507224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:29.777038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct129
Distinct (%)94.9%
Missing45
Missing (%)24.9%
Memory size1.5 KiB
2024-05-11T15:28:30.339477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8014706
Min length8

Characters and Unicode

Total characters1197
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)89.7%

Sample

1st row703-3440
2nd row719-1737
3rd row711-8387
4th row3275-0346
5th row701-8797
ValueCountFrequency (%)
796-1406 2
 
1.5%
716-5707 2
 
1.5%
715-1051 2
 
1.5%
717-6636 2
 
1.5%
716-9437 2
 
1.5%
703-4658 2
 
1.5%
794-8195 2
 
1.5%
517-2331 1
 
0.7%
703-1967 1
 
0.7%
797-2437 1
 
0.7%
Other values (119) 119
87.5%
2024-05-11T15:28:31.158627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 206
17.2%
- 155
12.9%
0 141
11.8%
1 132
11.0%
3 96
8.0%
2 90
7.5%
6 86
7.2%
5 82
 
6.9%
9 75
 
6.3%
4 73
 
6.1%
Other values (3) 61
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
86.9%
Dash Punctuation 155
 
12.9%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 206
19.8%
0 141
13.6%
1 132
12.7%
3 96
9.2%
2 90
8.7%
6 86
8.3%
5 82
 
7.9%
9 75
 
7.2%
4 73
 
7.0%
8 59
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1197
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 206
17.2%
- 155
12.9%
0 141
11.8%
1 132
11.0%
3 96
8.0%
2 90
7.5%
6 86
7.2%
5 82
 
6.9%
9 75
 
6.3%
4 73
 
6.1%
Other values (3) 61
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 206
17.2%
- 155
12.9%
0 141
11.8%
1 132
11.0%
3 96
8.0%
2 90
7.5%
6 86
7.2%
5 82
 
6.9%
9 75
 
6.3%
4 73
 
6.1%
Other values (3) 61
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)38.3%
Missing61
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean140705.31
Minimum140011
Maximum140909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:28:31.497883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140011
5-th percentile140060
Q1140749.75
median140849
Q3140879
95-th percentile140897.15
Maximum140909
Range898
Interquartile range (IQR)129.25

Descriptive statistics

Standard deviation308.24539
Coefficient of variation (CV)0.0021907162
Kurtosis0.46504145
Mean140705.31
Median Absolute Deviation (MAD)30
Skewness-1.5325296
Sum16884637
Variance95015.223
MonotonicityNot monotonic
2024-05-11T15:28:31.726482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
140090 13
 
7.2%
140879 12
 
6.6%
140847 12
 
6.6%
140872 8
 
4.4%
140871 5
 
2.8%
140878 4
 
2.2%
140848 4
 
2.2%
140060 4
 
2.2%
140849 4
 
2.2%
140905 4
 
2.2%
Other values (36) 50
27.6%
(Missing) 61
33.7%
ValueCountFrequency (%)
140011 1
 
0.6%
140013 2
 
1.1%
140060 4
 
2.2%
140090 13
7.2%
140132 1
 
0.6%
140133 1
 
0.6%
140160 1
 
0.6%
140712 3
 
1.7%
140719 1
 
0.6%
140746 2
 
1.1%
ValueCountFrequency (%)
140909 1
 
0.6%
140905 4
2.2%
140900 1
 
0.6%
140897 1
 
0.6%
140896 2
1.1%
140889 1
 
0.6%
140888 1
 
0.6%
140887 1
 
0.6%
140886 1
 
0.6%
140885 1
 
0.6%

지번주소
Text

Distinct134
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:28:32.182015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length28.80663
Min length18

Characters and Unicode

Total characters5214
Distinct characters161
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

Unique109 ?
Unique (%)60.2%

Sample

1st row서울특별시 용산구 신계동 **번지
2nd row서울특별시 용산구 청파동*가 ***번지
3rd row서울특별시 용산구 신계동 **-*번지 우경빌딩 ***호
4th row서울특별시 용산구 신계동 **-**번지
5th row서울특별시 용산구 한강로*가 **-**번지 의림빌딩 ***
ValueCountFrequency (%)
서울특별시 181
18.7%
용산구 181
18.7%
번지 161
16.7%
한강로*가 74
 
7.7%
호 53
 
5.5%
원효로*가 37
 
3.8%
층 37
 
3.8%
21
 
2.2%
한남동 18
 
1.9%
동 17
 
1.8%
Other values (107) 186
19.3%
2024-05-11T15:28:32.999919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1004
19.3%
899
17.2%
산 197
 
3.8%
용 195
 
3.7%
서 186
 
3.6%
구 186
 
3.6%
울 183
 
3.5%
시 181
 
3.5%
별 181
 
3.5%
특 181
 
3.5%
Other values (151) 1821
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3125
59.9%
Other Punctuation 1008
 
19.3%
Space Separator 899
 
17.2%
Dash Punctuation 154
 
3.0%
Uppercase Letter 23
 
0.4%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 197
 
6.3%
용 195
 
6.2%
서 186
 
6.0%
구 186
 
6.0%
울 183
 
5.9%
시 181
 
5.8%
별 181
 
5.8%
특 181
 
5.8%
지 168
 
5.4%
번 161
 
5.2%
Other values (132) 1306
41.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
26.1%
C 4
17.4%
E 3
13.0%
K 3
13.0%
D 2
 
8.7%
A 2
 
8.7%
J 1
 
4.3%
G 1
 
4.3%
S 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 1004
99.6%
. 2
 
0.2%
, 1
 
0.1%
/ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 1
20.0%
3 1
20.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
899
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3125
59.9%
Common 2066
39.6%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 197
 
6.3%
용 195
 
6.2%
서 186
 
6.0%
구 186
 
6.0%
울 183
 
5.9%
시 181
 
5.8%
별 181
 
5.8%
특 181
 
5.8%
지 168
 
5.4%
번 161
 
5.2%
Other values (132) 1306
41.8%
Common
ValueCountFrequency (%)
* 1004
48.6%
899
43.5%
- 154
 
7.5%
. 2
 
0.1%
2 2
 
0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
, 1
 
< 0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 6
26.1%
C 4
17.4%
E 3
13.0%
K 3
13.0%
D 2
 
8.7%
A 2
 
8.7%
J 1
 
4.3%
G 1
 
4.3%
S 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3125
59.9%
ASCII 2089
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1004
48.1%
899
43.0%
- 154
 
7.4%
B 6
 
0.3%
C 4
 
0.2%
E 3
 
0.1%
K 3
 
0.1%
D 2
 
0.1%
. 2
 
0.1%
2 2
 
0.1%
Other values (9) 10
 
0.5%
Hangul
ValueCountFrequency (%)
산 197
 
6.3%
용 195
 
6.2%
서 186
 
6.0%
구 186
 
6.0%
울 183
 
5.9%
시 181
 
5.8%
별 181
 
5.8%
특 181
 
5.8%
지 168
 
5.4%
번 161
 
5.2%
Other values (132) 1306
41.8%

도로명주소
Text

MISSING 

Distinct124
Distinct (%)80.0%
Missing26
Missing (%)14.4%
Memory size1.5 KiB
2024-05-11T15:28:33.399710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length34.922581
Min length23

Characters and Unicode

Total characters5413
Distinct characters174
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

Unique104 ?
Unique (%)67.1%

Sample

1st row서울특별시 용산구 새창로**길 **, ***호 (신계동,우경빌딩)
2nd row서울특별시 용산구 새창로**길 ** (신계동)
3rd row서울특별시 용산구 청파로 ** (한강로*가,의림빌딩 ***)
4th row서울특별시 용산구 원효로 ***-* (원효로*가)
5th row서울특별시 용산구 청파로**길 **-* (서계동)
ValueCountFrequency (%)
159
16.8%
서울특별시 155
16.3%
용산구 155
16.3%
호 63
 
6.6%
층 41
 
4.3%
청파로 23
 
2.4%
한강로*가 23
 
2.4%
한강대로**길 19
 
2.0%
원효로*가 19
 
2.0%
한남동 14
 
1.5%
Other values (134) 278
29.3%
2024-05-11T15:28:33.975493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 909
16.8%
889
16.4%
로 248
 
4.6%
, 173
 
3.2%
서 168
 
3.1%
산 167
 
3.1%
용 167
 
3.1%
구 159
 
2.9%
울 157
 
2.9%
) 155
 
2.9%
Other values (164) 2221
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3068
56.7%
Other Punctuation 1085
 
20.0%
Space Separator 889
 
16.4%
Close Punctuation 155
 
2.9%
Open Punctuation 155
 
2.9%
Dash Punctuation 33
 
0.6%
Uppercase Letter 21
 
0.4%
Decimal Number 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 248
 
8.1%
서 168
 
5.5%
산 167
 
5.4%
용 167
 
5.4%
구 159
 
5.2%
울 157
 
5.1%
시 155
 
5.1%
별 155
 
5.1%
특 155
 
5.1%
한 129
 
4.2%
Other values (140) 1408
45.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
19.0%
B 4
19.0%
E 3
14.3%
K 3
14.3%
D 2
9.5%
A 2
9.5%
J 1
 
4.8%
G 1
 
4.8%
S 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
4 1
16.7%
7 1
16.7%
9 1
16.7%
1 1
16.7%
3 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 909
83.8%
, 173
 
15.9%
. 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
889
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3068
56.7%
Common 2324
42.9%
Latin 21
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 248
 
8.1%
서 168
 
5.5%
산 167
 
5.4%
용 167
 
5.4%
구 159
 
5.2%
울 157
 
5.1%
시 155
 
5.1%
별 155
 
5.1%
특 155
 
5.1%
한 129
 
4.2%
Other values (140) 1408
45.9%
Common
ValueCountFrequency (%)
* 909
39.1%
889
38.3%
, 173
 
7.4%
) 155
 
6.7%
( 155
 
6.7%
- 33
 
1.4%
. 2
 
0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
Other values (5) 5
 
0.2%
Latin
ValueCountFrequency (%)
C 4
19.0%
B 4
19.0%
E 3
14.3%
K 3
14.3%
D 2
9.5%
A 2
9.5%
J 1
 
4.8%
G 1
 
4.8%
S 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3068
56.7%
ASCII 2345
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 909
38.8%
889
37.9%
, 173
 
7.4%
) 155
 
6.6%
( 155
 
6.6%
- 33
 
1.4%
C 4
 
0.2%
B 4
 
0.2%
E 3
 
0.1%
K 3
 
0.1%
Other values (14) 17
 
0.7%
Hangul
ValueCountFrequency (%)
로 248
 
8.1%
서 168
 
5.5%
산 167
 
5.4%
용 167
 
5.4%
구 159
 
5.2%
울 157
 
5.1%
시 155
 
5.1%
별 155
 
5.1%
특 155
 
5.1%
한 129
 
4.2%
Other values (140) 1408
45.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)66.0%
Missing134
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean10175.426
Minimum4304
Maximum140846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:28:34.166791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4304
5-th percentile4310
Q14342.5
median4376
Q34407.5
95-th percentile4421.4
Maximum140846
Range136542
Interquartile range (IQR)65

Descriptive statistics

Standard deviation27842.959
Coefficient of variation (CV)2.7362943
Kurtosis20.819179
Mean10175.426
Median Absolute Deviation (MAD)34
Skewness4.6834008
Sum478245
Variance7.7523034 × 108
MonotonicityNot monotonic
2024-05-11T15:28:34.349918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4417 5
 
2.8%
4376 5
 
2.8%
4316 3
 
1.7%
4310 3
 
1.7%
4410 2
 
1.1%
4344 2
 
1.1%
4387 2
 
1.1%
4389 2
 
1.1%
4405 1
 
0.6%
4373 1
 
0.6%
Other values (21) 21
 
11.6%
(Missing) 134
74.0%
ValueCountFrequency (%)
4304 1
 
0.6%
4310 3
1.7%
4312 1
 
0.6%
4316 3
1.7%
4320 1
 
0.6%
4322 1
 
0.6%
4337 1
 
0.6%
4342 1
 
0.6%
4343 1
 
0.6%
4344 2
1.1%
ValueCountFrequency (%)
140846 1
 
0.6%
140821 1
 
0.6%
4422 1
 
0.6%
4420 1
 
0.6%
4418 1
 
0.6%
4417 5
2.8%
4410 2
 
1.1%
4405 1
 
0.6%
4389 2
 
1.1%
4387 2
 
1.1%

사업장명
Text

Distinct179
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T15:28:34.760508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.6298343
Min length1

Characters and Unicode

Total characters1381
Distinct characters238
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

Unique177 ?
Unique (%)97.8%

Sample

1st row레오소프트
2nd row(주)심플상사
3rd row태경미디어
4th row리눅스프라자
5th row한국CD
ValueCountFrequency (%)
주식회사 11
 
5.5%
주)코리아스탠다드엔터테인먼트 2
 
1.0%
주 2
 
1.0%
주)멀티테크 2
 
1.0%
주)아이엔케이엔터 1
 
0.5%
주)그레이삭스 1
 
0.5%
레오소프트 1
 
0.5%
블라스트 1
 
0.5%
주)보드보드 1
 
0.5%
로즈네트웍스 1
 
0.5%
Other values (178) 178
88.6%
2024-05-11T15:28:35.470516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 105
 
7.6%
) 96
 
7.0%
( 95
 
6.9%
트 48
 
3.5%
이 42
 
3.0%
스 37
 
2.7%
디 30
 
2.2%
프 26
 
1.9%
엔 26
 
1.9%
터 24
 
1.7%
Other values (228) 852
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
80.2%
Close Punctuation 96
 
7.0%
Open Punctuation 95
 
6.9%
Uppercase Letter 45
 
3.3%
Space Separator 20
 
1.4%
Lowercase Letter 11
 
0.8%
Other Punctuation 6
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 105
 
9.5%
트 48
 
4.3%
이 42
 
3.8%
스 37
 
3.3%
디 30
 
2.7%
프 26
 
2.3%
엔 26
 
2.3%
터 24
 
2.2%
미 23
 
2.1%
소 23
 
2.1%
Other values (195) 723
65.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
 
11.1%
S 5
 
11.1%
N 4
 
8.9%
D 4
 
8.9%
G 3
 
6.7%
O 3
 
6.7%
L 2
 
4.4%
E 2
 
4.4%
Z 2
 
4.4%
T 2
 
4.4%
Other values (9) 13
28.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
s 2
18.2%
n 1
9.1%
o 1
9.1%
m 1
9.1%
u 1
9.1%
g 1
9.1%
r 1
9.1%
e 1
9.1%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
80.2%
Common 218
 
15.8%
Latin 56
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 105
 
9.5%
트 48
 
4.3%
이 42
 
3.8%
스 37
 
3.3%
디 30
 
2.7%
프 26
 
2.3%
엔 26
 
2.3%
터 24
 
2.2%
미 23
 
2.1%
소 23
 
2.1%
Other values (195) 723
65.3%
Latin
ValueCountFrequency (%)
C 5
 
8.9%
S 5
 
8.9%
N 4
 
7.1%
D 4
 
7.1%
G 3
 
5.4%
O 3
 
5.4%
L 2
 
3.6%
E 2
 
3.6%
a 2
 
3.6%
Z 2
 
3.6%
Other values (18) 24
42.9%
Common
ValueCountFrequency (%)
) 96
44.0%
( 95
43.6%
20
 
9.2%
. 6
 
2.8%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
80.2%
ASCII 274
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 105
 
9.5%
트 48
 
4.3%
이 42
 
3.8%
스 37
 
3.3%
디 30
 
2.7%
프 26
 
2.3%
엔 26
 
2.3%
터 24
 
2.2%
미 23
 
2.1%
소 23
 
2.1%
Other values (195) 723
65.3%
ASCII
ValueCountFrequency (%)
) 96
35.0%
( 95
34.7%
20
 
7.3%
. 6
 
2.2%
C 5
 
1.8%
S 5
 
1.8%
N 4
 
1.5%
D 4
 
1.5%
G 3
 
1.1%
O 3
 
1.1%
Other values (23) 33
 
12.0%

최종수정일자
Date

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2006-04-04 10:59:19
Maximum2024-03-21 14:01:38
2024-05-11T15:28:35.695487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:35.928648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
I
169 
U
 
12

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 169
93.4%
U 12
 
6.6%

Length

2024-05-11T15:28:36.151099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:36.308743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 169
93.4%
u 12
 
6.6%

데이터갱신일자
Date

Distinct25
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:07:00
2024-05-11T15:28:36.837489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:37.067817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)67.4%
Missing9
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean197249.6
Minimum195626.87
Maximum201057.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:28:37.362234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195626.87
5-th percentile195965.35
Q1196503.09
median196778.5
Q3197329.62
95-th percentile200654.08
Maximum201057.06
Range5430.1931
Interquartile range (IQR)826.53448

Descriptive statistics

Standard deviation1360.7943
Coefficient of variation (CV)0.0068988443
Kurtosis1.5369841
Mean197249.6
Median Absolute Deviation (MAD)393.26352
Skewness1.63033
Sum33926931
Variance1851761
MonotonicityNot monotonic
2024-05-11T15:28:37.600400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195956.83241222 5
 
2.8%
196881.746507124 4
 
2.2%
196385.232032928 4
 
2.2%
196060.559012563 4
 
2.2%
196727.535753619 4
 
2.2%
197176.027317202 3
 
1.7%
196118.749575977 3
 
1.7%
196641.216714161 3
 
1.7%
196087.977652228 3
 
1.7%
196533.815350269 3
 
1.7%
Other values (106) 136
75.1%
(Missing) 9
 
5.0%
ValueCountFrequency (%)
195626.865584206 1
 
0.6%
195738.283458432 1
 
0.6%
195923.205904131 2
 
1.1%
195956.83241222 5
2.8%
195972.321819235 3
1.7%
196005.836412851 1
 
0.6%
196025.754267884 1
 
0.6%
196060.559012563 4
2.2%
196087.977652228 3
1.7%
196095.025465427 1
 
0.6%
ValueCountFrequency (%)
201057.05866309 1
0.6%
200969.065045237 1
0.6%
200823.833430175 1
0.6%
200775.183106359 1
0.6%
200751.839771325 1
0.6%
200740.955266851 1
0.6%
200733.150411988 2
1.1%
200723.432503889 1
0.6%
200597.33115081 1
0.6%
200527.885823753 1
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)67.4%
Missing9
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean448077.58
Minimum446498.49
Maximum450296.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:28:37.841088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446498.49
5-th percentile447045.21
Q1447699.74
median447942.28
Q3448277.47
95-th percentile449503.49
Maximum450296.59
Range3798.0964
Interquartile range (IQR)577.72731

Descriptive statistics

Standard deviation670.17447
Coefficient of variation (CV)0.0014956661
Kurtosis1.6308352
Mean448077.58
Median Absolute Deviation (MAD)285.16085
Skewness1.0096875
Sum77069344
Variance449133.82
MonotonicityNot monotonic
2024-05-11T15:28:38.107491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447651.530984522 5
 
2.8%
448490.425152267 4
 
2.2%
447938.19246116 4
 
2.2%
447732.807254308 4
 
2.2%
447868.128308607 4
 
2.2%
447687.409638632 3
 
1.7%
447760.157527455 3
 
1.7%
448014.084095797 3
 
1.7%
447749.621213224 3
 
1.7%
447984.252851391 3
 
1.7%
Other values (106) 136
75.1%
(Missing) 9
 
5.0%
ValueCountFrequency (%)
446498.492793793 1
 
0.6%
446801.359490614 1
 
0.6%
446862.978329468 1
 
0.6%
446947.960824067 2
1.1%
446972.463812476 1
 
0.6%
447036.827969083 1
 
0.6%
447045.206052439 3
1.7%
447077.126289262 2
1.1%
447227.637165869 1
 
0.6%
447264.444809335 1
 
0.6%
ValueCountFrequency (%)
450296.589217562 1
0.6%
450132.909155969 1
0.6%
450029.429063214 1
0.6%
450020.433308027 1
0.6%
449985.777005416 1
0.6%
449970.161645104 1
0.6%
449616.994544088 1
0.6%
449602.276701304 1
0.6%
449579.232930684 1
0.6%
449441.520564838 1
0.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
게임물제작업
170 
<NA>
 
11

Length

Max length6
Median length6
Mean length5.878453
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 170
93.9%
<NA> 11
 
6.1%

Length

2024-05-11T15:28:38.443048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:38.686579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 170
93.9%
na 11
 
6.1%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
유통관련업
170 
<NA>
 
11

Length

Max length5
Median length5
Mean length4.9392265
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 170
93.9%
<NA> 11
 
6.1%

Length

2024-05-11T15:28:38.904899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:39.094936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 170
93.9%
na 11
 
6.1%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
174 
0
 
3
20
 
1
10
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9005525
Min length1

Unique

Unique4 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 174
96.1%
0 3
 
1.7%
20 1
 
0.6%
10 1
 
0.6%
6 1
 
0.6%
32 1
 
0.6%

Length

2024-05-11T15:28:39.309364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:39.553811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
96.1%
0 3
 
1.7%
20 1
 
0.6%
10 1
 
0.6%
6 1
 
0.6%
32 1
 
0.6%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
164 
기타
 
16
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.8287293
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
90.6%
기타 16
 
8.8%
아파트지역 1
 
0.6%

Length

2024-05-11T15:28:39.796376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:39.978250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
90.6%
기타 16
 
8.8%
아파트지역 1
 
0.6%

제작취급품목내용
Text

MISSING 

Distinct48
Distinct (%)76.2%
Missing118
Missing (%)65.2%
Memory size1.5 KiB
2024-05-11T15:28:40.328169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length7.5555556
Min length2

Characters and Unicode

Total characters476
Distinct characters80
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

Unique42 ?
Unique (%)66.7%

Sample

1st row게임물
2nd row게임
3rd row게임물
4th row게임물제작업
5th row게임물
ValueCountFrequency (%)
게임물 10
 
10.0%
게임 10
 
10.0%
모바일 7
 
7.0%
소프트웨어 6
 
6.0%
모바일게임 5
 
5.0%
온라인 4
 
4.0%
온라인게임물 4
 
4.0%
및 4
 
4.0%
온라인게임 3
 
3.0%
개발 3
 
3.0%
Other values (40) 44
44.0%
2024-05-11T15:28:41.142221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 64
 
13.4%
게 62
 
13.0%
37
 
7.8%
인 21
 
4.4%
물 19
 
4.0%
라 18
 
3.8%
온 17
 
3.6%
모 15
 
3.2%
일 15
 
3.2%
바 15
 
3.2%
Other values (70) 193
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
83.8%
Space Separator 37
 
7.8%
Uppercase Letter 17
 
3.6%
Other Punctuation 13
 
2.7%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Lowercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 64
16.0%
게 62
15.5%
인 21
 
5.3%
물 19
 
4.8%
라 18
 
4.5%
온 17
 
4.3%
모 15
 
3.8%
일 15
 
3.8%
바 15
 
3.8%
트 10
 
2.5%
Other values (57) 143
35.8%
Uppercase Letter
ValueCountFrequency (%)
P 7
41.2%
C 6
35.3%
S 1
 
5.9%
D 1
 
5.9%
R 1
 
5.9%
G 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
83.8%
Common 58
 
12.2%
Latin 19
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 64
16.0%
게 62
15.5%
인 21
 
5.3%
물 19
 
4.8%
라 18
 
4.5%
온 17
 
4.3%
모 15
 
3.8%
일 15
 
3.8%
바 15
 
3.8%
트 10
 
2.5%
Other values (57) 143
35.8%
Latin
ValueCountFrequency (%)
P 7
36.8%
C 6
31.6%
S 1
 
5.3%
D 1
 
5.3%
R 1
 
5.3%
G 1
 
5.3%
p 1
 
5.3%
c 1
 
5.3%
Common
ValueCountFrequency (%)
37
63.8%
, 12
 
20.7%
) 4
 
6.9%
( 4
 
6.9%
/ 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
83.8%
ASCII 77
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 64
16.0%
게 62
15.5%
인 21
 
5.3%
물 19
 
4.8%
라 18
 
4.5%
온 17
 
4.3%
모 15
 
3.8%
일 15
 
3.8%
바 15
 
3.8%
트 10
 
2.5%
Other values (57) 143
35.8%
ASCII
ValueCountFrequency (%)
37
48.1%
, 12
 
15.6%
P 7
 
9.1%
C 6
 
7.8%
) 4
 
5.2%
( 4
 
5.2%
S 1
 
1.3%
D 1
 
1.3%
R 1
 
1.3%
G 1
 
1.3%
Other values (3) 3
 
3.9%

시설면적
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)92.7%
Missing126
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean234.09018
Minimum0
Maximum3768
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:28:41.386197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.69
Q128.925
median45
Q3174.78
95-th percentile919.947
Maximum3768
Range3768
Interquartile range (IQR)145.855

Descriptive statistics

Standard deviation562.51813
Coefficient of variation (CV)2.4029976
Kurtosis29.594226
Mean234.09018
Median Absolute Deviation (MAD)38.4
Skewness5.0143318
Sum12874.96
Variance316426.65
MonotonicityNot monotonic
2024-05-11T15:28:41.633370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174.78 3
 
1.7%
10.0 2
 
1.1%
30.0 2
 
1.1%
382.8 1
 
0.6%
38.1 1
 
0.6%
341.52 1
 
0.6%
124.18 1
 
0.6%
41.8 1
 
0.6%
58.71 1
 
0.6%
38.51 1
 
0.6%
Other values (41) 41
 
22.7%
(Missing) 126
69.6%
ValueCountFrequency (%)
0.0 1
0.6%
3.3 1
0.6%
4.06 1
0.6%
4.96 1
0.6%
5.0 1
0.6%
5.5 1
0.6%
6.6 1
0.6%
10.0 2
1.1%
14.03 1
0.6%
24.3 1
0.6%
ValueCountFrequency (%)
3768.0 1
0.6%
1394.28 1
0.6%
1018.57 1
0.6%
877.68 1
0.6%
771.0 1
0.6%
693.38 1
0.6%
594.92 1
0.6%
400.0 1
0.6%
382.8 1
0.6%
341.52 1
0.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)42.9%
Missing160
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean5.5714286
Minimum0
Maximum26
Zeros3
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T15:28:41.858945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile17
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.9713602
Coefficient of variation (CV)1.0717826
Kurtosis6.8387938
Mean5.5714286
Median Absolute Deviation (MAD)1
Skewness2.4645411
Sum117
Variance35.657143
MonotonicityNot monotonic
2024-05-11T15:28:42.084456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 5
 
2.8%
4 5
 
2.8%
5 3
 
1.7%
0 3
 
1.7%
17 1
 
0.6%
8 1
 
0.6%
26 1
 
0.6%
10 1
 
0.6%
6 1
 
0.6%
(Missing) 160
88.4%
ValueCountFrequency (%)
0 3
1.7%
3 5
2.8%
4 5
2.8%
5 3
1.7%
6 1
 
0.6%
8 1
 
0.6%
10 1
 
0.6%
17 1
 
0.6%
26 1
 
0.6%
ValueCountFrequency (%)
26 1
 
0.6%
17 1
 
0.6%
10 1
 
0.6%
8 1
 
0.6%
6 1
 
0.6%
5 3
1.7%
4 5
2.8%
3 5
2.8%
0 3
1.7%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
176 
0
 
3
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9171271
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 176
97.2%
0 3
 
1.7%
4 1
 
0.6%
6 1
 
0.6%

Length

2024-05-11T15:28:42.314754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:42.514302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
97.2%
0 3
 
1.7%
4 1
 
0.6%
6 1
 
0.6%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
160 
사무실
 
14
근린생활시설
 
3
교육연구시설
 
2
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.038674
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
88.4%
사무실 14
 
7.7%
근린생활시설 3
 
1.7%
교육연구시설 2
 
1.1%
다가구용 주택(공동주택적용) 1
 
0.6%
판매시설 1
 
0.6%

Length

2024-05-11T15:28:42.699276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:42.881360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
87.9%
사무실 14
 
7.7%
근린생활시설 3
 
1.6%
교육연구시설 2
 
1.1%
다가구용 1
 
0.5%
주택(공동주택적용 1
 
0.5%
판매시설 1
 
0.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
178 
0
 
3

Length

Max length4
Median length4
Mean length3.9502762
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> 178
98.3%
0 3
 
1.7%

Length

2024-05-11T15:28:43.129017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:43.329573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
98.3%
0 3
 
1.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
178 
0
 
3

Length

Max length4
Median length4
Mean length3.9502762
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> 178
98.3%
0 3
 
1.7%

Length

2024-05-11T15:28:43.515723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:43.679273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
98.3%
0 3
 
1.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
178 
0
 
3

Length

Max length4
Median length4
Mean length3.9502762
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> 178
98.3%
0 3
 
1.7%

Length

2024-05-11T15:28:43.878896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:44.064644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
98.3%
0 3
 
1.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
178 
0
 
3

Length

Max length4
Median length4
Mean length3.9502762
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> 178
98.3%
0 3
 
1.7%

Length

2024-05-11T15:28:44.284166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:44.495456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
98.3%
0 3
 
1.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
178 
0
 
3

Length

Max length4
Median length4
Mean length3.9502762
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> 178
98.3%
0 3
 
1.7%

Length

2024-05-11T15:28:44.709701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:44.926324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
98.3%
0 3
 
1.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)100.0%
Memory size1.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
163 
일반주거지역
 
7
준주거지역
 
5
상업지역
 
2
일반상업지역
 
2
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.1381215
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
90.1%
일반주거지역 7
 
3.9%
준주거지역 5
 
2.8%
상업지역 2
 
1.1%
일반상업지역 2
 
1.1%
근린상업지역 1
 
0.6%
주거지역 1
 
0.6%

Length

2024-05-11T15:28:45.115108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:45.361905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
90.1%
일반주거지역 7
 
3.9%
준주거지역 5
 
2.8%
상업지역 2
 
1.1%
일반상업지역 2
 
1.1%
근린상업지역 1
 
0.6%
주거지역 1
 
0.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF224108199900000119991221<NA>1영업/정상13영업중<NA><NA><NA><NA>703-3440<NA>140090서울특별시 용산구 신계동 **번지<NA><NA>레오소프트2006-04-04 11:07:58I2018-08-31 23:59:59.0<NA><NA><NA>게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFF224108199900000219990812<NA>1영업/정상13영업중<NA><NA><NA><NA>719-1737<NA>140869서울특별시 용산구 청파동*가 ***번지<NA><NA>(주)심플상사2006-04-04 11:02:41I2018-08-31 23:59:59.0<NA>197264.634859449441.520565게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFF224108199900000419990928<NA>3폐업3폐업20071126<NA><NA><NA>711-8387<NA>140090서울특별시 용산구 신계동 **-*번지 우경빌딩 ***호서울특별시 용산구 새창로**길 **, ***호 (신계동,우경빌딩)<NA>태경미디어2007-11-26 14:14:39I2018-08-31 23:59:59.0<NA>196533.81535447984.252851게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFF224108199900000519990930<NA>1영업/정상13영업중<NA><NA><NA><NA>3275-0346<NA>140090서울특별시 용산구 신계동 **-**번지서울특별시 용산구 새창로**길 ** (신계동)<NA>리눅스프라자2006-04-04 11:04:05I2018-08-31 23:59:59.0<NA>196569.496209447943.104536게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFF224108199900000619990930<NA>1영업/정상13영업중<NA><NA><NA><NA>701-8797<NA>140879서울특별시 용산구 한강로*가 **-**번지 의림빌딩 ***서울특별시 용산구 청파로 ** (한강로*가,의림빌딩 ***)<NA>한국CD2006-04-04 11:04:25I2018-08-31 23:59:59.0<NA>196147.046127447779.858292게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000CDFF224108199900000719991004<NA>3폐업3폐업20080211<NA><NA><NA><NA><NA>140905서울특별시 용산구 원효로*가 **-*번지서울특별시 용산구 원효로 ***-* (원효로*가)<NA>미르소프트테크2008-02-12 07:53:56I2018-08-31 23:59:59.0<NA>196760.324254448266.387258게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFF224108199900000819991006<NA>1영업/정상13영업중<NA><NA><NA><NA>3273-7817<NA>140830서울특별시 용산구 서계동 ***-*번지서울특별시 용산구 청파로**길 **-* (서계동)<NA>(주)코아기술2006-04-04 11:05:33I2018-08-31 23:59:59.0<NA>196995.707994450132.909156게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFF224108199900000919991006<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>140132서울특별시 용산구 청파동*가 **-*번지 청파프라자 ***호서울특별시 용산구 청파로**나길 *, ***호 (청파동*가,청파프라자)<NA>명립2006-04-04 11:05:05I2018-08-31 23:59:59.0<NA>196999.869048449223.952135게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFF224108199900001019991025<NA>3폐업3폐업20071213<NA><NA><NA><NA><NA>140871서울특별시 용산구 한강로*가 ***번지<NA><NA>유니테크2007-12-13 15:00:24I2018-08-31 23:59:59.0<NA>196961.591827447392.59115게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFF224108199900001119991107<NA>1영업/정상13영업중<NA><NA><NA><NA>713-6892<NA>140847서울특별시 용산구 원효로*가 **-*번지서울특별시 용산구 새창로 *** (원효로*가)<NA>PC소프트2006-04-04 11:06:34I2018-08-31 23:59:59.0<NA>196573.52292448100.025877게임물제작업유통관련업<NA><NA><NA><NA><NA><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
1713020000CDFF224108202100000320191014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 **-* 용산트레이드센터서울특별시 용산구 한강대로 **, 용산트레이드센터 (한강로*가)4389주식회사 하이브2021-07-15 11:34:48U2021-07-17 02:40:00.0<NA>196778.495552446947.960824게임물제작업유통관련업0<NA>모바일게임, 온라인게임382.800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1723020000CDFF224108202100000420120423<NA>5제외/삭제/전출15전출20221110<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***서울특별시 용산구 회나무로**길 *, ***동 ***호 (이태원동)4343체리츠2022-11-10 16:08:27U2021-10-31 23:02:00.0<NA>198942.726413448717.203677<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1733020000CDFF224108202100000520210713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-***서울특별시 용산구 소월로**길 *-**, *층 (이태원동)4342주식회사 테이블원2021-07-13 17:45:02I2021-07-15 00:22:52.0<NA>199261.69679448880.712135게임물제작업유통관련업0<NA>온라인게임, 모바일게임28.300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1743020000CDFF224108202100000620211129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 효창동 *-**서울특별시 용산구 효창원로**길 *, *층 **호 (효창동)4312리라소프트2021-11-29 16:21:36I2021-12-01 00:22:43.0<NA>196613.551889448827.900911게임물제작업유통관련업0<NA>모바일 전략 게임 / 앱 개발3.300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1753020000CDFF224108202200000120220126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 *** 래미안용산 더 센트럴서울특별시 용산구 한강대로 **, 비동 ****호 (한강로*가, 래미안용산 더 센트럴)4378(주)오렌지크래프트2023-01-20 09:41:36U2022-11-30 22:02:00.0<NA>197011.737529447430.100251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1763020000CDFF224108202200000220170925<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4633-1565<NA><NA>서울특별시 용산구 이태원동 *-*서울특별시 용산구 회나무로 **, *층 (이태원동)4344(주)아이엔케이엔터2022-03-28 13:35:13I2021-12-02 21:00:00.0<NA>199472.133258448714.747683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1773020000CDFF224108202200000320220411<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3275-3811<NA><NA>서울특별시 용산구 한강로*가 **-** 용산전자오피스텔서울특별시 용산구 청파로 **, *층 ***호 (한강로*가, 용산전자오피스텔)4373주식회사 트윈컴퍼니2022-04-11 13:05:13I2021-12-03 23:03:00.0<NA>196118.749576447760.157527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1783020000CDFF224108202200000420221107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 *-*서울특별시 용산구 회나무로 **, *,*층 (이태원동)4344주식회사 모모콘2022-11-07 09:05:41I2021-11-01 00:09:00.0<NA>199472.133258448714.747683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1793020000CDFF224108202200000520221208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 청파동2가 42-31서울특별시 용산구 청파로47나길 19, 3층 (청파동2가)4310(주)라이브워크2022-12-08 09:25:27I2021-11-01 23:00:00.0<NA>197012.727113449292.885733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1803020000CDFF22410820230000012023-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-* 이태원로***서울특별시 용산구 이태원로 ***, 이태원로*** *층 ***호 (이태원동)4405nosugar Games2023-02-13 15:39:18I2022-12-01 23:05:00.0<NA>199592.672867448020.184718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>