Overview

Dataset statistics

Number of variables56
Number of observations139
Missing cells4064
Missing cells (%)52.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.2 KiB
Average record size in memory487.9 B

Variable types

Categorical14
Text7
Numeric10
Unsupported23
DateTime2

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-16794/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
도로명우편번호 is highly imbalanced (89.1%)Imbalance
데이터갱신구분 is highly imbalanced (89.1%)Imbalance
문화체육업종명 is highly imbalanced (89.1%)Imbalance
조명시설조도 is highly imbalanced (76.1%)Imbalance
인허가취소일자 has 83 (59.7%) missing valuesMissing
폐업일자 has 57 (41.0%) missing valuesMissing
휴업시작일자 has 139 (100.0%) missing valuesMissing
휴업종료일자 has 139 (100.0%) missing valuesMissing
재개업일자 has 139 (100.0%) missing valuesMissing
전화번호 has 99 (71.2%) missing valuesMissing
소재지면적 has 139 (100.0%) missing valuesMissing
소재지우편번호 has 49 (35.3%) missing valuesMissing
도로명주소 has 30 (21.6%) missing valuesMissing
업태구분명 has 139 (100.0%) missing valuesMissing
좌표정보(X) has 7 (5.0%) missing valuesMissing
좌표정보(Y) has 7 (5.0%) missing valuesMissing
총층수 has 54 (38.8%) missing valuesMissing
제작취급품목내용 has 137 (98.6%) missing valuesMissing
시설면적 has 33 (23.7%) missing valuesMissing
지상층수 has 50 (36.0%) missing valuesMissing
통로너비 has 139 (100.0%) missing valuesMissing
노래방실수 has 139 (100.0%) missing valuesMissing
청소년실수 has 139 (100.0%) missing valuesMissing
비상계단여부 has 139 (100.0%) missing valuesMissing
비상구여부 has 139 (100.0%) missing valuesMissing
자동환기여부 has 139 (100.0%) missing valuesMissing
청소년실여부 has 139 (100.0%) missing valuesMissing
특수조명여부 has 139 (100.0%) missing valuesMissing
방음시설여부 has 139 (100.0%) missing valuesMissing
비디오재생기명 has 139 (100.0%) missing valuesMissing
조명시설유무 has 139 (100.0%) missing valuesMissing
음향시설여부 has 139 (100.0%) missing valuesMissing
편의시설여부 has 139 (100.0%) missing valuesMissing
소방시설여부 has 139 (100.0%) missing valuesMissing
총게임기수 has 127 (91.4%) missing valuesMissing
기존게임업외업종명 has 139 (100.0%) missing valuesMissing
제공게임물명 has 134 (96.4%) missing valuesMissing
공연장형태구분명 has 139 (100.0%) missing valuesMissing
품목명 has 139 (100.0%) missing valuesMissing
최초등록시점 has 139 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 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 20 (14.4%) zerosZeros
시설면적 has 40 (28.8%) zerosZeros
지상층수 has 19 (13.7%) zerosZeros

Reproduction

Analysis started2024-04-29 19:09:02.556020
Analysis finished2024-04-29 19:09:03.379197
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3020000
139 

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 139
100.0%

Length

2024-04-30T04:09:03.442104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:03.515234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 139
100.0%

관리번호
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-30T04:09:03.654594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2780
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

Unique139 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011985000001
2nd rowCDFF2241011985000002
3rd rowCDFF2241011985000003
4th rowCDFF2241011985000004
5th rowCDFF2241011985000005
ValueCountFrequency (%)
cdff2241011985000001 1
 
0.7%
cdff2241012005000010 1
 
0.7%
cdff2241012005000008 1
 
0.7%
cdff2241012005000007 1
 
0.7%
cdff2241012005000006 1
 
0.7%
cdff2241012005000005 1
 
0.7%
cdff2241012005000004 1
 
0.7%
cdff2241012005000003 1
 
0.7%
cdff2241012005000002 1
 
0.7%
cdff2241012002000013 1
 
0.7%
Other values (129) 129
92.8%
2024-04-30T04:09:03.950956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1015
36.5%
2 424
15.3%
1 392
 
14.1%
F 278
 
10.0%
4 172
 
6.2%
C 139
 
5.0%
D 139
 
5.0%
9 68
 
2.4%
5 44
 
1.6%
8 37
 
1.3%
Other values (3) 72
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2224
80.0%
Uppercase Letter 556
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1015
45.6%
2 424
19.1%
1 392
 
17.6%
4 172
 
7.7%
9 68
 
3.1%
5 44
 
2.0%
8 37
 
1.7%
6 29
 
1.3%
3 26
 
1.2%
7 17
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 278
50.0%
C 139
25.0%
D 139
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2224
80.0%
Latin 556
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1015
45.6%
2 424
19.1%
1 392
 
17.6%
4 172
 
7.7%
9 68
 
3.1%
5 44
 
2.0%
8 37
 
1.7%
6 29
 
1.3%
3 26
 
1.2%
7 17
 
0.8%
Latin
ValueCountFrequency (%)
F 278
50.0%
C 139
25.0%
D 139
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1015
36.5%
2 424
15.3%
1 392
 
14.1%
F 278
 
10.0%
4 172
 
6.2%
C 139
 
5.0%
D 139
 
5.0%
9 68
 
2.4%
5 44
 
1.6%
8 37
 
1.3%
Other values (3) 72
 
2.6%

인허가일자
Real number (ℝ)

Distinct134
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20003675
Minimum19850402
Maximum20181210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:04.068353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850402
5-th percentile19860903
Q119991218
median20021021
Q320050472
95-th percentile20061202
Maximum20181210
Range330808
Interquartile range (IQR)59255

Descriptive statistics

Standard deviation67929.406
Coefficient of variation (CV)0.0033958463
Kurtosis0.31812075
Mean20003675
Median Absolute Deviation (MAD)29592
Skewness-0.96561249
Sum2.7805108 × 109
Variance4.6144041 × 109
MonotonicityNot monotonic
2024-04-30T04:09:04.178694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041102 2
 
1.4%
20021021 2
 
1.4%
20060111 2
 
1.4%
20040728 2
 
1.4%
20050826 2
 
1.4%
20050810 1
 
0.7%
20041119 1
 
0.7%
20041204 1
 
0.7%
20041209 1
 
0.7%
20041220 1
 
0.7%
Other values (124) 124
89.2%
ValueCountFrequency (%)
19850402 1
0.7%
19850411 1
0.7%
19850423 1
0.7%
19850517 1
0.7%
19850603 1
0.7%
19851007 1
0.7%
19860703 1
0.7%
19860925 1
0.7%
19870114 1
0.7%
19870212 1
0.7%
ValueCountFrequency (%)
20181210 1
0.7%
20150817 1
0.7%
20070424 1
0.7%
20070327 1
0.7%
20070323 1
0.7%
20061222 1
0.7%
20061213 1
0.7%
20061201 1
0.7%
20061127 1
0.7%
20061103 1
0.7%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)16.1%
Missing83
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean20082769
Minimum20070808
Maximum20200820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:04.279766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070808
5-th percentile20078160
Q120081226
median20081226
Q320081226
95-th percentile20081226
Maximum20200820
Range130012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16229.072
Coefficient of variation (CV)0.00080810926
Kurtosis53.61849
Mean20082769
Median Absolute Deviation (MAD)0
Skewness7.2344112
Sum1.1246351 × 109
Variance2.6338276 × 108
MonotonicityNot monotonic
2024-04-30T04:09:04.369478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20081226 48
34.5%
20080617 1
 
0.7%
20080808 1
 
0.7%
20071120 1
 
0.7%
20071008 1
 
0.7%
20080506 1
 
0.7%
20080522 1
 
0.7%
20070808 1
 
0.7%
20200820 1
 
0.7%
(Missing) 83
59.7%
ValueCountFrequency (%)
20070808 1
 
0.7%
20071008 1
 
0.7%
20071120 1
 
0.7%
20080506 1
 
0.7%
20080522 1
 
0.7%
20080617 1
 
0.7%
20080808 1
 
0.7%
20081226 48
34.5%
20200820 1
 
0.7%
ValueCountFrequency (%)
20200820 1
 
0.7%
20081226 48
34.5%
20080808 1
 
0.7%
20080617 1
 
0.7%
20080522 1
 
0.7%
20080506 1
 
0.7%
20071120 1
 
0.7%
20071008 1
 
0.7%
20070808 1
 
0.7%

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
82 
4
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 82
59.0%
4 57
41.0%

Length

2024-04-30T04:09:04.495335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:04.596539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 82
59.0%
4 57
41.0%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
82 
취소/말소/만료/정지/중지
57 

Length

Max length14
Median length2
Mean length6.9208633
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 82
59.0%
취소/말소/만료/정지/중지 57
41.0%

Length

2024-04-30T04:09:04.703327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:04.786350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 82
59.0%
취소/말소/만료/정지/중지 57
41.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
82 
31
56 
30
 
1

Length

Max length2
Median length1
Mean length1.4100719
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row3
2nd row3
3rd row3
4th row31
5th row3

Common Values

ValueCountFrequency (%)
3 82
59.0%
31 56
40.3%
30 1
 
0.7%

Length

2024-04-30T04:09:04.877218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:04.965715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 82
59.0%
31 56
40.3%
30 1
 
0.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
82 
등록취소
56 
허가취소
 
1

Length

Max length4
Median length2
Mean length2.8201439
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 82
59.0%
등록취소 56
40.3%
허가취소 1
 
0.7%

Length

2024-04-30T04:09:05.063096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:05.152546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 82
59.0%
등록취소 56
40.3%
허가취소 1
 
0.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)96.3%
Missing57
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean20056900
Minimum20020429
Maximum20181128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:05.243034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020429
5-th percentile20021015
Q120041134
median20060616
Q320070726
95-th percentile20080527
Maximum20181128
Range160699
Interquartile range (IQR)29591.75

Descriptive statistics

Standard deviation23968.365
Coefficient of variation (CV)0.0011950184
Kurtosis7.5265355
Mean20056900
Median Absolute Deviation (MAD)10398.5
Skewness1.3155886
Sum1.6446658 × 109
Variance5.7448251 × 108
MonotonicityNot monotonic
2024-04-30T04:09:05.358489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030708 2
 
1.4%
20070730 2
 
1.4%
20041206 2
 
1.4%
20030317 1
 
0.7%
20060210 1
 
0.7%
20050412 1
 
0.7%
20050401 1
 
0.7%
20080624 1
 
0.7%
20070614 1
 
0.7%
20060904 1
 
0.7%
Other values (69) 69
49.6%
(Missing) 57
41.0%
ValueCountFrequency (%)
20020429 1
0.7%
20020515 1
0.7%
20020703 1
0.7%
20020711 1
0.7%
20021015 1
0.7%
20021018 1
0.7%
20021022 1
0.7%
20021031 1
0.7%
20021105 1
0.7%
20021125 1
0.7%
ValueCountFrequency (%)
20181128 1
0.7%
20080902 1
0.7%
20080729 1
0.7%
20080624 1
0.7%
20080527 1
0.7%
20080526 1
0.7%
20080506 1
0.7%
20080415 1
0.7%
20080221 1
0.7%
20080125 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct40
Distinct (%)100.0%
Missing99
Missing (%)71.2%
Memory size1.2 KiB
2024-04-30T04:09:05.552892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.4
Min length7

Characters and Unicode

Total characters376
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

Unique40 ?
Unique (%)100.0%

Sample

1st row716-4350
2nd row(02)793-7815
3rd row981-6129
4th row(02)779-1909
5th row(02)797-2717
ValueCountFrequency (%)
716-4350 1
 
2.5%
02)793-7815 1
 
2.5%
719-5709 1
 
2.5%
796-4702 1
 
2.5%
796-6457 1
 
2.5%
795-9995 1
 
2.5%
702-4878 1
 
2.5%
793-3074 1
 
2.5%
3274-0323 1
 
2.5%
790-3304 1
 
2.5%
Other values (30) 30
75.0%
2024-04-30T04:09:05.843515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 59
15.7%
0 46
12.2%
9 42
11.2%
- 39
10.4%
2 34
9.0%
5 32
8.5%
4 28
7.4%
3 24
6.4%
1 19
 
5.1%
) 16
 
4.3%
Other values (3) 37
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 314
83.5%
Dash Punctuation 39
 
10.4%
Close Punctuation 16
 
4.3%
Open Punctuation 7
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 59
18.8%
0 46
14.6%
9 42
13.4%
2 34
10.8%
5 32
10.2%
4 28
8.9%
3 24
7.6%
1 19
 
6.1%
6 15
 
4.8%
8 15
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 59
15.7%
0 46
12.2%
9 42
11.2%
- 39
10.4%
2 34
9.0%
5 32
8.5%
4 28
7.4%
3 24
6.4%
1 19
 
5.1%
) 16
 
4.3%
Other values (3) 37
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 59
15.7%
0 46
12.2%
9 42
11.2%
- 39
10.4%
2 34
9.0%
5 32
8.5%
4 28
7.4%
3 24
6.4%
1 19
 
5.1%
) 16
 
4.3%
Other values (3) 37
9.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)40.0%
Missing49
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean140771.22
Minimum140013
Maximum140900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:05.981873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140013
5-th percentile140160
Q1140821
median140847
Q3140875.75
95-th percentile140892.1
Maximum140900
Range887
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation228.46197
Coefficient of variation (CV)0.0016229309
Kurtosis4.3784117
Mean140771.22
Median Absolute Deviation (MAD)26
Skewness-2.4610852
Sum12669410
Variance52194.871
MonotonicityNot monotonic
2024-04-30T04:09:06.105815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
140821 13
 
9.4%
140160 7
 
5.0%
140887 5
 
3.6%
140886 5
 
3.6%
140847 5
 
3.6%
140858 4
 
2.9%
140871 4
 
2.9%
140863 4
 
2.9%
140832 3
 
2.2%
140806 3
 
2.2%
Other values (26) 37
26.6%
(Missing) 49
35.3%
ValueCountFrequency (%)
140013 1
 
0.7%
140090 1
 
0.7%
140132 1
 
0.7%
140160 7
5.0%
140750 1
 
0.7%
140805 1
 
0.7%
140806 3
 
2.2%
140807 3
 
2.2%
140819 1
 
0.7%
140821 13
9.4%
ValueCountFrequency (%)
140900 2
 
1.4%
140896 1
 
0.7%
140893 2
 
1.4%
140891 1
 
0.7%
140889 1
 
0.7%
140887 5
3.6%
140886 5
3.6%
140885 2
 
1.4%
140882 1
 
0.7%
140879 1
 
0.7%

지번주소
Text

Distinct130
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-30T04:09:06.355777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length23.978417
Min length19

Characters and Unicode

Total characters3333
Distinct characters82
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)87.1%

Sample

1st row서울특별시 용산구 후암동 63-0번지
2nd row서울특별시 용산구 원효로2가 88-7번지
3rd row서울특별시 용산구 갈월동 59-10번지
4th row서울특별시 용산구 남영동 88-3번지
5th row서울특별시 용산구 이태원동 57-2번지
ValueCountFrequency (%)
서울특별시 139
22.8%
용산구 139
22.8%
동자동 25
 
4.1%
한남동 23
 
3.8%
한강로2가 17
 
2.8%
이태원동 13
 
2.1%
갈월동 10
 
1.6%
남영동 10
 
1.6%
원효로2가 8
 
1.3%
2층 7
 
1.1%
Other values (163) 218
35.8%
2024-04-30T04:09:06.714648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
599
18.0%
용 151
 
4.5%
지 149
 
4.5%
산 144
 
4.3%
서 142
 
4.3%
구 139
 
4.2%
울 139
 
4.2%
시 139
 
4.2%
특 139
 
4.2%
별 139
 
4.2%
Other values (72) 1453
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1981
59.4%
Decimal Number 618
 
18.5%
Space Separator 599
 
18.0%
Dash Punctuation 131
 
3.9%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 151
 
7.6%
지 149
 
7.5%
산 144
 
7.3%
서 142
 
7.2%
구 139
 
7.0%
울 139
 
7.0%
시 139
 
7.0%
특 139
 
7.0%
별 139
 
7.0%
번 137
 
6.9%
Other values (57) 563
28.4%
Decimal Number
ValueCountFrequency (%)
1 117
18.9%
2 100
16.2%
3 90
14.6%
4 65
10.5%
5 51
8.3%
6 51
8.3%
9 43
 
7.0%
0 38
 
6.1%
8 32
 
5.2%
7 31
 
5.0%
Space Separator
ValueCountFrequency (%)
599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1981
59.4%
Common 1352
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 151
 
7.6%
지 149
 
7.5%
산 144
 
7.3%
서 142
 
7.2%
구 139
 
7.0%
울 139
 
7.0%
시 139
 
7.0%
특 139
 
7.0%
별 139
 
7.0%
번 137
 
6.9%
Other values (57) 563
28.4%
Common
ValueCountFrequency (%)
599
44.3%
- 131
 
9.7%
1 117
 
8.7%
2 100
 
7.4%
3 90
 
6.7%
4 65
 
4.8%
5 51
 
3.8%
6 51
 
3.8%
9 43
 
3.2%
0 38
 
2.8%
Other values (5) 67
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1981
59.4%
ASCII 1352
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
599
44.3%
- 131
 
9.7%
1 117
 
8.7%
2 100
 
7.4%
3 90
 
6.7%
4 65
 
4.8%
5 51
 
3.8%
6 51
 
3.8%
9 43
 
3.2%
0 38
 
2.8%
Other values (5) 67
 
5.0%
Hangul
ValueCountFrequency (%)
용 151
 
7.6%
지 149
 
7.5%
산 144
 
7.3%
서 142
 
7.2%
구 139
 
7.0%
울 139
 
7.0%
시 139
 
7.0%
특 139
 
7.0%
별 139
 
7.0%
번 137
 
6.9%
Other values (57) 563
28.4%

도로명주소
Text

MISSING 

Distinct101
Distinct (%)92.7%
Missing30
Missing (%)21.6%
Memory size1.2 KiB
2024-04-30T04:09:06.945137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length28.229358
Min length23

Characters and Unicode

Total characters3077
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)85.3%

Sample

1st row서울특별시 용산구 후암로 51 (후암동)
2nd row서울특별시 용산구 원효로41길 67 (원효로2가)
3rd row서울특별시 용산구 한강대로 264 (남영동)
4th row서울특별시 용산구 이태원로 143-13 (이태원동)
5th row서울특별시 용산구 대사관로 63 (한남동)
ValueCountFrequency (%)
서울특별시 109
19.3%
용산구 109
19.3%
한강대로 27
 
4.8%
동자동 16
 
2.8%
한남동 13
 
2.3%
이태원로 11
 
1.9%
이태원동 10
 
1.8%
갈월동 7
 
1.2%
남영동 7
 
1.2%
새창로 6
 
1.1%
Other values (162) 250
44.2%
2024-04-30T04:09:07.293945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
562
 
18.3%
로 126
 
4.1%
용 119
 
3.9%
산 113
 
3.7%
서 112
 
3.6%
동 112
 
3.6%
) 110
 
3.6%
( 110
 
3.6%
울 109
 
3.5%
특 109
 
3.5%
Other values (86) 1495
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1790
58.2%
Space Separator 562
 
18.3%
Decimal Number 439
 
14.3%
Close Punctuation 110
 
3.6%
Open Punctuation 110
 
3.6%
Other Punctuation 39
 
1.3%
Dash Punctuation 27
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 126
 
7.0%
용 119
 
6.6%
산 113
 
6.3%
서 112
 
6.3%
동 112
 
6.3%
울 109
 
6.1%
특 109
 
6.1%
별 109
 
6.1%
시 109
 
6.1%
구 109
 
6.1%
Other values (70) 663
37.0%
Decimal Number
ValueCountFrequency (%)
1 93
21.2%
2 76
17.3%
3 64
14.6%
7 43
9.8%
4 39
8.9%
9 26
 
5.9%
6 25
 
5.7%
5 25
 
5.7%
8 24
 
5.5%
0 24
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 37
94.9%
. 2
 
5.1%
Space Separator
ValueCountFrequency (%)
562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1790
58.2%
Common 1287
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 126
 
7.0%
용 119
 
6.6%
산 113
 
6.3%
서 112
 
6.3%
동 112
 
6.3%
울 109
 
6.1%
특 109
 
6.1%
별 109
 
6.1%
시 109
 
6.1%
구 109
 
6.1%
Other values (70) 663
37.0%
Common
ValueCountFrequency (%)
562
43.7%
) 110
 
8.5%
( 110
 
8.5%
1 93
 
7.2%
2 76
 
5.9%
3 64
 
5.0%
7 43
 
3.3%
4 39
 
3.0%
, 37
 
2.9%
- 27
 
2.1%
Other values (6) 126
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1790
58.2%
ASCII 1287
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
562
43.7%
) 110
 
8.5%
( 110
 
8.5%
1 93
 
7.2%
2 76
 
5.9%
3 64
 
5.0%
7 43
 
3.3%
4 39
 
3.0%
, 37
 
2.9%
- 27
 
2.1%
Other values (6) 126
 
9.8%
Hangul
ValueCountFrequency (%)
로 126
 
7.0%
용 119
 
6.6%
산 113
 
6.3%
서 112
 
6.3%
동 112
 
6.3%
울 109
 
6.1%
특 109
 
6.1%
별 109
 
6.1%
시 109
 
6.1%
구 109
 
6.1%
Other values (70) 663
37.0%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
137 
4364
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
98.6%
4364 2
 
1.4%

Length

2024-04-30T04:09:07.415417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:07.494684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
98.6%
4364 2
 
1.4%

사업장명
Text

Distinct135
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-30T04:09:07.656595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.7913669
Min length1

Characters and Unicode

Total characters805
Distinct characters191
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

Unique131 ?
Unique (%)94.2%

Sample

1st row현대
2nd row금성
3rd row신신
4th row아이큐
5th row똘똘이
ValueCountFrequency (%)
게임랜드 10
 
6.3%
스타게임랜드 2
 
1.3%
컴퓨터 2
 
1.3%
로얄게임장 2
 
1.3%
오락실 2
 
1.3%
용산 2
 
1.3%
게임천국 2
 
1.3%
로얄게임랜드 2
 
1.3%
월드게임랜드 2
 
1.3%
신용산게임랜드 1
 
0.6%
Other values (132) 132
83.0%
2024-04-30T04:09:07.964962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 84
 
10.4%
게 83
 
10.3%
드 66
 
8.2%
랜 44
 
5.5%
장 28
 
3.5%
20
 
2.5%
오 19
 
2.4%
스 18
 
2.2%
이 18
 
2.2%
실 16
 
2.0%
Other values (181) 409
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 751
93.3%
Space Separator 20
 
2.5%
Decimal Number 18
 
2.2%
Uppercase Letter 12
 
1.5%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 84
 
11.2%
게 83
 
11.1%
드 66
 
8.8%
랜 44
 
5.9%
장 28
 
3.7%
오 19
 
2.5%
스 18
 
2.4%
이 18
 
2.4%
실 16
 
2.1%
락 16
 
2.1%
Other values (162) 359
47.8%
Uppercase Letter
ValueCountFrequency (%)
E 3
25.0%
M 2
16.7%
T 1
 
8.3%
N 1
 
8.3%
S 1
 
8.3%
X 1
 
8.3%
I 1
 
8.3%
G 1
 
8.3%
A 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
9 7
38.9%
2 5
27.8%
1 3
16.7%
0 2
 
11.1%
4 1
 
5.6%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 751
93.3%
Common 42
 
5.2%
Latin 12
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 84
 
11.2%
게 83
 
11.1%
드 66
 
8.8%
랜 44
 
5.9%
장 28
 
3.7%
오 19
 
2.5%
스 18
 
2.4%
이 18
 
2.4%
실 16
 
2.1%
락 16
 
2.1%
Other values (162) 359
47.8%
Common
ValueCountFrequency (%)
20
47.6%
9 7
 
16.7%
2 5
 
11.9%
1 3
 
7.1%
0 2
 
4.8%
. 1
 
2.4%
- 1
 
2.4%
) 1
 
2.4%
( 1
 
2.4%
4 1
 
2.4%
Latin
ValueCountFrequency (%)
E 3
25.0%
M 2
16.7%
T 1
 
8.3%
N 1
 
8.3%
S 1
 
8.3%
X 1
 
8.3%
I 1
 
8.3%
G 1
 
8.3%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 751
93.3%
ASCII 54
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 84
 
11.2%
게 83
 
11.1%
드 66
 
8.8%
랜 44
 
5.9%
장 28
 
3.7%
오 19
 
2.5%
스 18
 
2.4%
이 18
 
2.4%
실 16
 
2.1%
락 16
 
2.1%
Other values (162) 359
47.8%
ASCII
ValueCountFrequency (%)
20
37.0%
9 7
 
13.0%
2 5
 
9.3%
E 3
 
5.6%
1 3
 
5.6%
M 2
 
3.7%
0 2
 
3.7%
T 1
 
1.9%
. 1
 
1.9%
N 1
 
1.9%
Other values (9) 9
16.7%

최종수정일자
Date

Distinct131
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-02-06 13:07:29
Maximum2020-08-20 17:00:42
2024-04-30T04:09:08.087637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:08.187395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
137 
U
 
2

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 137
98.6%
U 2
 
1.4%

Length

2024-04-30T04:09:08.286381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:08.539407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 137
98.6%
u 2
 
1.4%

데이터갱신일자
Date

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-08-22 02:40:00
2024-04-30T04:09:08.613404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:08.701011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)81.8%
Missing7
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean198074.3
Minimum196226.39
Maximum200740.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:08.813419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196226.39
5-th percentile196467.87
Q1197043.79
median197486.55
Q3199363.6
95-th percentile200504.21
Maximum200740.35
Range4513.957
Interquartile range (IQR)2319.8066

Descriptive statistics

Standard deviation1371.1899
Coefficient of variation (CV)0.0069226038
Kurtosis-0.94478291
Mean198074.3
Median Absolute Deviation (MAD)603.28161
Skewness0.69434484
Sum26145807
Variance1880161.7
MonotonicityNot monotonic
2024-04-30T04:09:08.941476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196534.284541859 3
 
2.2%
196370.746398773 3
 
2.2%
196920.867477638 3
 
2.2%
196564.056788264 3
 
2.2%
200455.14401596 2
 
1.4%
200468.881253388 2
 
1.4%
198840.450251492 2
 
1.4%
199363.595799729 2
 
1.4%
197470.453767228 2
 
1.4%
200480.927496779 2
 
1.4%
Other values (98) 108
77.7%
(Missing) 7
 
5.0%
ValueCountFrequency (%)
196226.394964889 1
 
0.7%
196339.867930237 1
 
0.7%
196346.747418612 1
 
0.7%
196370.746398773 3
2.2%
196455.391200457 1
 
0.7%
196478.071781775 1
 
0.7%
196501.358727216 1
 
0.7%
196522.360946947 1
 
0.7%
196534.284541859 3
2.2%
196564.056788264 3
2.2%
ValueCountFrequency (%)
200740.35198837 1
0.7%
200738.283742027 1
0.7%
200710.646192452 1
0.7%
200709.749866443 1
0.7%
200514.811794271 2
1.4%
200506.690814874 1
0.7%
200502.179579742 1
0.7%
200480.927496779 2
1.4%
200468.881253388 2
1.4%
200455.14401596 2
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)81.8%
Missing7
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean448572.76
Minimum447227.64
Maximum450296.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:09.048918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447227.64
5-th percentile447345.19
Q1447866.83
median448226.89
Q3449187.74
95-th percentile450119.79
Maximum450296.59
Range3068.9521
Interquartile range (IQR)1320.9109

Descriptive statistics

Standard deviation932.46866
Coefficient of variation (CV)0.0020787456
Kurtosis-1.0961171
Mean448572.76
Median Absolute Deviation (MAD)699.55348
Skewness0.44943354
Sum59211604
Variance869497.8
MonotonicityNot monotonic
2024-04-30T04:09:09.186162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448086.811978621 3
 
2.2%
447841.698787531 3
 
2.2%
447381.325491413 3
 
2.2%
448172.52518751 3
 
2.2%
447866.831310941 2
 
1.4%
447775.795957158 2
 
1.4%
448542.015061105 2
 
1.4%
448050.926289223 2
 
1.4%
450020.433308027 2
 
1.4%
447816.16208733 2
 
1.4%
Other values (98) 108
77.7%
(Missing) 7
 
5.0%
ValueCountFrequency (%)
447227.637165869 1
 
0.7%
447235.740625284 1
 
0.7%
447275.998734581 1
 
0.7%
447281.501010806 1
 
0.7%
447319.705599 1
 
0.7%
447332.072914 1
 
0.7%
447341.640779997 1
 
0.7%
447348.10086997 2
1.4%
447351.598864666 2
1.4%
447381.325491413 3
2.2%
ValueCountFrequency (%)
450296.589217562 1
0.7%
450230.900231927 1
0.7%
450183.063350846 2
1.4%
450169.463261594 1
0.7%
450153.122732911 1
0.7%
450130.488765084 1
0.7%
450111.04375671 2
1.4%
450072.371645596 1
0.7%
450063.434682284 1
0.7%
450055.940113821 1
0.7%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
게임제공업
137 
일반게임제공업
 
2

Length

Max length7
Median length5
Mean length5.028777
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 137
98.6%
일반게임제공업 2
 
1.4%

Length

2024-04-30T04:09:09.335003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:09.428376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 137
98.6%
일반게임제공업 2
 
1.4%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
139 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 139
100.0%

Length

2024-04-30T04:09:09.511089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:09.598222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 139
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)15.3%
Missing54
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean3.2117647
Minimum0
Maximum12
Zeros20
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:09.670476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile8.8
Maximum12
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8788809
Coefficient of variation (CV)0.89635486
Kurtosis0.55202807
Mean3.2117647
Median Absolute Deviation (MAD)2
Skewness0.95698916
Sum273
Variance8.2879552
MonotonicityNot monotonic
2024-04-30T04:09:09.758267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 20
 
14.4%
2 20
 
14.4%
3 10
 
7.2%
5 9
 
6.5%
4 7
 
5.0%
7 5
 
3.6%
6 4
 
2.9%
1 3
 
2.2%
10 2
 
1.4%
8 2
 
1.4%
Other values (3) 3
 
2.2%
(Missing) 54
38.8%
ValueCountFrequency (%)
0 20
14.4%
1 3
 
2.2%
2 20
14.4%
3 10
7.2%
4 7
 
5.0%
5 9
6.5%
6 4
 
2.9%
7 5
 
3.6%
8 2
 
1.4%
9 1
 
0.7%
ValueCountFrequency (%)
12 1
 
0.7%
11 1
 
0.7%
10 2
 
1.4%
9 1
 
0.7%
8 2
 
1.4%
7 5
3.6%
6 4
 
2.9%
5 9
6.5%
4 7
5.0%
3 10
7.2%

주변환경명
Categorical

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기타
64 
<NA>
45 
유흥업소밀집지역
18 
주택가주변
10 
학교정화(절대)
 
2

Length

Max length8
Median length5
Mean length3.7266187
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row기타
3rd row주택가주변
4th row유흥업소밀집지역
5th row유흥업소밀집지역

Common Values

ValueCountFrequency (%)
기타 64
46.0%
<NA> 45
32.4%
유흥업소밀집지역 18
 
12.9%
주택가주변 10
 
7.2%
학교정화(절대) 2
 
1.4%

Length

2024-04-30T04:09:09.869598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:09.959860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 64
46.0%
na 45
32.4%
유흥업소밀집지역 18
 
12.9%
주택가주변 10
 
7.2%
학교정화(절대 2
 
1.4%

제작취급품목내용
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing137
Missing (%)98.6%
Memory size1.2 KiB
2024-04-30T04:09:10.071524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length13
Min length7

Characters and Unicode

Total characters26
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row뉴스토리(31대), 용의신(49대)
2nd row빠박이어벤져스
ValueCountFrequency (%)
뉴스토리(31대 1
33.3%
용의신(49대 1
33.3%
빠박이어벤져스 1
33.3%
2024-04-30T04:09:10.316176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2
 
7.7%
대 2
 
7.7%
) 2
 
7.7%
스 2
 
7.7%
뉴 1
 
3.8%
신 1
 
3.8%
벤 1
 
3.8%
어 1
 
3.8%
이 1
 
3.8%
박 1
 
3.8%
Other values (12) 12
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
61.5%
Decimal Number 4
 
15.4%
Open Punctuation 2
 
7.7%
Close Punctuation 2
 
7.7%
Space Separator 1
 
3.8%
Other Punctuation 1
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2
12.5%
스 2
12.5%
뉴 1
 
6.2%
신 1
 
6.2%
벤 1
 
6.2%
어 1
 
6.2%
이 1
 
6.2%
박 1
 
6.2%
빠 1
 
6.2%
용 1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
4 1
25.0%
1 1
25.0%
3 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
61.5%
Common 10
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2
12.5%
스 2
12.5%
뉴 1
 
6.2%
신 1
 
6.2%
벤 1
 
6.2%
어 1
 
6.2%
이 1
 
6.2%
박 1
 
6.2%
빠 1
 
6.2%
용 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
( 2
20.0%
) 2
20.0%
9 1
10.0%
4 1
10.0%
1
10.0%
, 1
10.0%
1 1
10.0%
3 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
61.5%
ASCII 10
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2
20.0%
) 2
20.0%
9 1
10.0%
4 1
10.0%
1
10.0%
, 1
10.0%
1 1
10.0%
3 1
10.0%
Hangul
ValueCountFrequency (%)
대 2
12.5%
스 2
12.5%
뉴 1
 
6.2%
신 1
 
6.2%
벤 1
 
6.2%
어 1
 
6.2%
이 1
 
6.2%
박 1
 
6.2%
빠 1
 
6.2%
용 1
 
6.2%
Other values (4) 4
25.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)61.3%
Missing33
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean73.400189
Minimum0
Maximum282.38
Zeros40
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:10.433604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68.145
Q3121.32
95-th percentile202.4
Maximum282.38
Range282.38
Interquartile range (IQR)121.32

Descriptive statistics

Standard deviation72.724495
Coefficient of variation (CV)0.99079439
Kurtosis-0.29384531
Mean73.400189
Median Absolute Deviation (MAD)68.145
Skewness0.68466118
Sum7780.42
Variance5288.8522
MonotonicityNot monotonic
2024-04-30T04:09:10.542162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 40
28.8%
202.4 2
 
1.4%
53.3 2
 
1.4%
39.7 1
 
0.7%
74.08 1
 
0.7%
157.63 1
 
0.7%
94.89 1
 
0.7%
108.6 1
 
0.7%
117.7 1
 
0.7%
162.2 1
 
0.7%
Other values (55) 55
39.6%
(Missing) 33
23.7%
ValueCountFrequency (%)
0.0 40
28.8%
23.6 1
 
0.7%
32.74 1
 
0.7%
39.7 1
 
0.7%
44.5 1
 
0.7%
45.9 1
 
0.7%
53.3 2
 
1.4%
53.32 1
 
0.7%
58.24 1
 
0.7%
59.63 1
 
0.7%
ValueCountFrequency (%)
282.38 1
0.7%
270.6 1
0.7%
237.4 1
0.7%
220.08 1
0.7%
207.37 1
0.7%
202.4 2
1.4%
196.82 1
0.7%
183.7 1
0.7%
169.03 1
0.7%
168.69 1
0.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)12.4%
Missing50
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean2.741573
Minimum0
Maximum10
Zeros19
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:10.642772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.600385
Coefficient of variation (CV)0.94850108
Kurtosis0.46881472
Mean2.741573
Median Absolute Deviation (MAD)2
Skewness1.0682724
Sum244
Variance6.762002
MonotonicityNot monotonic
2024-04-30T04:09:10.735119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 19
 
13.7%
2 18
 
12.9%
1 15
 
10.8%
3 11
 
7.9%
5 7
 
5.0%
4 6
 
4.3%
7 5
 
3.6%
9 2
 
1.4%
10 2
 
1.4%
8 2
 
1.4%
(Missing) 50
36.0%
ValueCountFrequency (%)
0 19
13.7%
1 15
10.8%
2 18
12.9%
3 11
7.9%
4 6
 
4.3%
5 7
 
5.0%
6 2
 
1.4%
7 5
 
3.6%
8 2
 
1.4%
9 2
 
1.4%
ValueCountFrequency (%)
10 2
 
1.4%
9 2
 
1.4%
8 2
 
1.4%
7 5
 
3.6%
6 2
 
1.4%
5 7
 
5.0%
4 6
 
4.3%
3 11
7.9%
2 18
12.9%
1 15
10.8%

지하층수
Categorical

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
71 
1
34 
0
22 
3
 
6
2
 
5

Length

Max length4
Median length4
Mean length2.5323741
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 71
51.1%
1 34
24.5%
0 22
 
15.8%
3 6
 
4.3%
2 5
 
3.6%
4 1
 
0.7%

Length

2024-04-30T04:09:10.846599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:10.974031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
51.1%
1 34
24.5%
0 22
 
15.8%
3 6
 
4.3%
2 5
 
3.6%
4 1
 
0.7%

건물용도명
Categorical

Distinct10
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
근린생활시설
74 
<NA>
46 
기타
 
5
문화시설
 
3
유기장
 
3
Other values (5)
8 

Length

Max length6
Median length6
Mean length4.942446
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 74
53.2%
<NA> 46
33.1%
기타 5
 
3.6%
문화시설 3
 
2.2%
유기장 3
 
2.2%
호텔 2
 
1.4%
사무실 2
 
1.4%
판매시설 2
 
1.4%
연립주택 1
 
0.7%
환경위생시설 1
 
0.7%

Length

2024-04-30T04:09:11.085714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:11.212492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 74
53.2%
na 46
33.1%
기타 5
 
3.6%
문화시설 3
 
2.2%
유기장 3
 
2.2%
호텔 2
 
1.4%
사무실 2
 
1.4%
판매시설 2
 
1.4%
연립주택 1
 
0.7%
환경위생시설 1
 
0.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

조명시설조도
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
126 
40
 
10
60
 
1
50
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.8201439
Min length2

Unique

Unique3 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
90.6%
40 10
 
7.2%
60 1
 
0.7%
50 1
 
0.7%
100 1
 
0.7%

Length

2024-04-30T04:09:11.342755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:11.444564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
90.6%
40 10
 
7.2%
60 1
 
0.7%
50 1
 
0.7%
100 1
 
0.7%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing127
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean35.583333
Minimum12
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:09:11.524026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12.55
Q126
median36
Q340
95-th percentile63.5
Maximum80
Range68
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.855268
Coefficient of variation (CV)0.5017874
Kurtosis2.9793767
Mean35.583333
Median Absolute Deviation (MAD)8
Skewness1.2311336
Sum427
Variance318.81061
MonotonicityNot monotonic
2024-04-30T04:09:11.615108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
26 2
 
1.4%
40 2
 
1.4%
36 2
 
1.4%
38 1
 
0.7%
13 1
 
0.7%
30 1
 
0.7%
50 1
 
0.7%
12 1
 
0.7%
80 1
 
0.7%
(Missing) 127
91.4%
ValueCountFrequency (%)
12 1
0.7%
13 1
0.7%
26 2
1.4%
30 1
0.7%
36 2
1.4%
38 1
0.7%
40 2
1.4%
50 1
0.7%
80 1
0.7%
ValueCountFrequency (%)
80 1
0.7%
50 1
0.7%
40 2
1.4%
38 1
0.7%
36 2
1.4%
30 1
0.7%
26 2
1.4%
13 1
0.7%
12 1
0.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

제공게임물명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing134
Missing (%)96.4%
Memory size1.2 KiB
2024-04-30T04:09:11.730322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length7
Mean length7.8
Min length5

Characters and Unicode

Total characters39
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row전체이용가
2nd row청소년이용불가
3rd row전체이용가 및 청소년이용불가
4th row청소년이용불가
5th row전체이용가
ValueCountFrequency (%)
전체이용가 3
42.9%
청소년이용불가 3
42.9%
및 1
 
14.3%
2024-04-30T04:09:11.958342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
15.4%
용 6
15.4%
가 6
15.4%
전 3
7.7%
체 3
7.7%
청 3
7.7%
소 3
7.7%
년 3
7.7%
불 3
7.7%
2
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37
94.9%
Space Separator 2
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
16.2%
용 6
16.2%
가 6
16.2%
전 3
8.1%
체 3
8.1%
청 3
8.1%
소 3
8.1%
년 3
8.1%
불 3
8.1%
및 1
 
2.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37
94.9%
Common 2
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
16.2%
용 6
16.2%
가 6
16.2%
전 3
8.1%
체 3
8.1%
청 3
8.1%
소 3
8.1%
년 3
8.1%
불 3
8.1%
및 1
 
2.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37
94.9%
ASCII 2
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
16.2%
용 6
16.2%
가 6
16.2%
전 3
8.1%
체 3
8.1%
청 3
8.1%
소 3
8.1%
년 3
8.1%
불 3
8.1%
및 1
 
2.7%
ASCII
ValueCountFrequency (%)
2
100.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

지역구분명
Categorical

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
65 
일반주거지역
29 
근린상업지역
21 
준주거지역
11 
일반상업지역
8 
Other values (3)
 
5

Length

Max length6
Median length5
Mean length4.9280576
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
46.8%
일반주거지역 29
20.9%
근린상업지역 21
 
15.1%
준주거지역 11
 
7.9%
일반상업지역 8
 
5.8%
주거지역 2
 
1.4%
상업지역 2
 
1.4%
전용공업지역 1
 
0.7%

Length

2024-04-30T04:09:12.090900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:12.202559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
46.8%
일반주거지역 29
20.9%
근린상업지역 21
 
15.1%
준주거지역 11
 
7.9%
일반상업지역 8
 
5.8%
주거지역 2
 
1.4%
상업지역 2
 
1.4%
전용공업지역 1
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF224101198500000119850402<NA>3폐업3폐업20080526<NA><NA><NA><NA><NA>140900서울특별시 용산구 후암동 63-0번지서울특별시 용산구 후암로 51 (후암동)<NA>현대2008-05-26 10:23:30I2018-08-31 23:59:59.0<NA>197900.216821449795.571151게임제공업유통관련업<NA>주택가주변<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFF224101198500000219850411<NA>3폐업3폐업20080221<NA><NA><NA>716-4350<NA>140847서울특별시 용산구 원효로2가 88-7번지서울특별시 용산구 원효로41길 67 (원효로2가)<NA>금성2008-02-22 09:16:41I2018-08-31 23:59:59.0<NA>196478.071782448171.074743게임제공업유통관련업<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFF224101198500000319850423<NA>3폐업3폐업20080506<NA><NA><NA><NA><NA>140805서울특별시 용산구 갈월동 59-10번지<NA><NA>신신2008-05-06 14:35:04I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업<NA>주택가주변<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFF224101198500000419850517200812264취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>140160서울특별시 용산구 남영동 88-3번지서울특별시 용산구 한강대로 264 (남영동)<NA>아이큐2009-03-18 15:07:13I2018-08-31 23:59:59.0<NA>197561.270198448842.396935게임제공업유통관련업0유흥업소밀집지역<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFF224101198500000519850603<NA>3폐업3폐업20070116<NA><NA><NA><NA><NA>140863서울특별시 용산구 이태원동 57-2번지서울특별시 용산구 이태원로 143-13 (이태원동)<NA>똘똘이2007-01-19 10:28:25I2018-08-31 23:59:59.0<NA>198983.595494448038.989356게임제공업유통관련업<NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000CDFF224101198500000619851007200812264취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 후암동 62-1번지<NA><NA>삼삼2009-06-02 11:26:28I2018-08-31 23:59:59.0<NA>197908.665758449779.018349게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFF224101198600000119860703<NA>3폐업3폐업20030317<NA><NA><NA><NA><NA>140887서울특별시 용산구 한남동 657-106번지서울특별시 용산구 대사관로 63 (한남동)<NA>썬2003-10-30 17:48:41I2018-08-31 23:59:59.0<NA>200397.209932447917.111194게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFF224101198600000219860925200812264취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>140821서울특별시 용산구 동자동 43-53번지<NA><NA>서울대박찬스게임장2009-03-18 15:12:52I2018-08-31 23:59:59.0<NA>197487.163507450153.122733게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFF224101198700000119870114200812264취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 89-3번지<NA><NA>영스타전자2009-06-01 13:38:17I2018-08-31 23:59:59.0<NA>197466.828351448988.382765게임제공업유통관련업<NA>기타<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFF224101198700000219870212<NA>3폐업3폐업20071106<NA><NA><NA><NA><NA>140821서울특별시 용산구 동자동 43-52번지서울특별시 용산구 한강대로 399 (동자동)<NA>역전2007-11-06 15:41:29I2018-08-31 23:59:59.0<NA>197486.169186450183.063351게임제공업유통관련업<NA>유흥업소밀집지역<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1293020000CDFF224101200600001220061127200805064취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>140893서울특별시 용산구 한남동 737-24번지서울특별시 용산구 이태원로 223 (한남동)<NA>월드게임장2008-09-04 10:02:35I2018-08-31 23:59:59.0<NA>199801.95723448135.575999게임제공업유통관련업<NA>기타<NA>120.9<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
1303020000CDFF224101200600001320061201<NA>3폐업3폐업20071121<NA><NA><NA><NA><NA>140160서울특별시 용산구 남영동 25-2번지서울특별시 용산구 한강대로 288 (남영동)<NA>다이아몬드게임장2007-11-22 13:22:16I2018-08-31 23:59:59.0<NA>197511.304893449080.110378게임제공업유통관련업<NA>기타<NA>77.811<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>일반주거지역
1313020000CDFF224101200600001420061213200805224취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>140858서울특별시 용산구 이태원동 123-18번지서울특별시 용산구 이태원로 183-4 (이태원동)<NA>오딘게임장2008-09-04 10:03:22I2018-08-31 23:59:59.0<NA>199450.074975448064.121024게임제공업유통관련업<NA>기타<NA>107.08<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
1323020000CDFF224101200600001520061222<NA>3폐업3폐업20070828<NA><NA><NA><NA><NA>140847서울특별시 용산구 원효로2가 83-2번지서울특별시 용산구 새창로 131 (원효로2가)<NA>펜클럽게임장2007-08-28 15:54:35I2018-08-31 23:59:59.0<NA>196522.360947448196.611004게임제공업유통관련업<NA>기타<NA>108.482<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
1333020000CDFF224101200600001620060726<NA>3폐업3폐업20070813<NA><NA><NA><NA><NA>140750서울특별시 용산구 한강로2가 314-1번지 용성비즈텔 102호서울특별시 용산구 한강대로 109, 102호 (한강로2가,용성비즈텔)<NA>신용산게임랜드2007-08-13 13:30:56I2018-08-31 23:59:59.0<NA>197117.418435447527.338271게임제공업유통관련업<NA>기타<NA><NA>1<NA>사무실<NA>60<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
1343020000CDFF224101200700000120070323<NA>3폐업3폐업20070430<NA><NA><NA>703-4568<NA>140090서울특별시 용산구 신계동 29-5번지 지층호서울특별시 용산구 새창로 153-4, 지층호 (신계동)<NA>스카이오락실2007-05-01 17:18:11I2018-08-31 23:59:59.0<NA>196644.230017447966.615206게임제공업유통관련업<NA>기타<NA>107.9<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가 및 청소년이용불가<NA><NA><NA>일반주거지역
1353020000CDFF224101200700000220070327200812264취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>701-1814<NA><NA>서울특별시 용산구 동자동 43-56번지 1층호서울특별시 용산구 한강대로 391, 1층호 (동자동)<NA>드림하우스2009-06-01 14:26:11I2018-08-31 23:59:59.0<NA>197486.924875450111.043757게임제공업유통관련업<NA>기타<NA>0.01<NA>기타<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
1363020000CDFF224101200700000320070424200708084취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>140847서울특별시 용산구 원효로2가 85-4번지 1층호서울특별시 용산구 새창로 131-10, 1층호 (원효로2가)<NA>골드 게임랜드2008-09-04 10:16:47I2018-08-31 23:59:59.0<NA>196564.056788448172.525188게임제공업유통관련업<NA>기타<NA>66.11<NA>환경위생시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
1373020000CDFF224113201500000120150817<NA>3폐업3폐업20181128<NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로2가 85-4번지서울특별시 용산구 새창로 131-10 (원효로2가)4364고래게임랜드2018-11-28 14:20:41U2018-11-30 02:40:00.0<NA>196564.056788448172.525188일반게임제공업유통관련업2<NA>뉴스토리(31대), 용의신(49대)127.3<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>80<NA>청소년이용불가<NA><NA><NA>전용공업지역
1383020000CDFF224113201800000120181210202008204취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로2가 85-4 2층서울특별시 용산구 새창로 131-10, 2층 (원효로2가)4364게임랜드2020-08-20 17:00:42U2020-08-22 02:40:00.0<NA>196564.056788448172.525188일반게임제공업유통관련업2기타빠박이어벤져스65.982<NA>판매시설<NA>100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA>상업지역