Overview

Dataset statistics

Number of variables56
Number of observations5140
Missing cells142820
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory486.0 B

Variable types

Numeric5
Text7
DateTime6
Categorical15
Unsupported23

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16035/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (99.6%)Imbalance
영업상태코드 is highly imbalanced (56.8%)Imbalance
영업상태명 is highly imbalanced (56.8%)Imbalance
상세영업상태명 is highly imbalanced (66.4%)Imbalance
통로너비 is highly imbalanced (52.7%)Imbalance
조명시설조도 is highly imbalanced (52.7%)Imbalance
노래방실수 is highly imbalanced (52.7%)Imbalance
청소년실수 is highly imbalanced (52.7%)Imbalance
총게임기수 is highly imbalanced (52.7%)Imbalance
폐업일자 has 4113 (80.0%) missing valuesMissing
휴업시작일자 has 5089 (99.0%) missing valuesMissing
휴업종료일자 has 5089 (99.0%) missing valuesMissing
재개업일자 has 5140 (100.0%) missing valuesMissing
전화번호 has 3789 (73.7%) missing valuesMissing
소재지면적 has 5140 (100.0%) missing valuesMissing
소재지우편번호 has 5140 (100.0%) missing valuesMissing
지번주소 has 188 (3.7%) missing valuesMissing
업태구분명 has 5140 (100.0%) missing valuesMissing
주변환경명 has 5140 (100.0%) missing valuesMissing
제작취급품목내용 has 2069 (40.3%) missing valuesMissing
시설면적 has 4205 (81.8%) missing valuesMissing
건물용도명 has 5140 (100.0%) missing valuesMissing
비상계단여부 has 5140 (100.0%) missing valuesMissing
비상구여부 has 5140 (100.0%) missing valuesMissing
자동환기여부 has 5140 (100.0%) missing valuesMissing
청소년실여부 has 5140 (100.0%) missing valuesMissing
특수조명여부 has 5140 (100.0%) missing valuesMissing
방음시설여부 has 5140 (100.0%) missing valuesMissing
비디오재생기명 has 5140 (100.0%) missing valuesMissing
조명시설유무 has 5140 (100.0%) missing valuesMissing
음향시설여부 has 5140 (100.0%) missing valuesMissing
편의시설여부 has 5140 (100.0%) missing valuesMissing
소방시설여부 has 5140 (100.0%) missing valuesMissing
기존게임업외업종명 has 5140 (100.0%) missing valuesMissing
제공게임물명 has 5140 (100.0%) missing valuesMissing
공연장형태구분명 has 5140 (100.0%) missing valuesMissing
품목명 has 5140 (100.0%) missing valuesMissing
최초등록시점 has 5140 (100.0%) missing valuesMissing
지역구분명 has 5140 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 30.57761268)Skewed
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
소재지우편번호 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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 525 (10.2%) zerosZeros

Reproduction

Analysis started2024-05-11 03:14:38.179807
Analysis finished2024-05-11 03:14:43.176336
Duration5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3164657.6
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-05-11T03:14:43.666615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13130000
median3210000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation71006.027
Coefficient of variation (CV)0.022437191
Kurtosis-0.3037989
Mean3164657.6
Median Absolute Deviation (MAD)10000
Skewness-1.0218959
Sum1.626634 × 1010
Variance5.0418559 × 109
MonotonicityNot monotonic
2024-05-11T03:14:44.728177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 1974
38.4%
3130000 705
 
13.7%
3210000 547
 
10.6%
3030000 258
 
5.0%
3180000 232
 
4.5%
3020000 196
 
3.8%
3150000 165
 
3.2%
3230000 137
 
2.7%
3010000 99
 
1.9%
3040000 94
 
1.8%
Other values (15) 733
 
14.3%
ValueCountFrequency (%)
3000000 79
 
1.5%
3010000 99
 
1.9%
3020000 196
3.8%
3030000 258
5.0%
3040000 94
 
1.8%
3050000 39
 
0.8%
3060000 33
 
0.6%
3070000 51
 
1.0%
3080000 21
 
0.4%
3090000 17
 
0.3%
ValueCountFrequency (%)
3240000 63
 
1.2%
3230000 137
 
2.7%
3220000 1974
38.4%
3210000 547
 
10.6%
3200000 59
 
1.1%
3190000 58
 
1.1%
3180000 232
 
4.5%
3170000 46
 
0.9%
3160000 54
 
1.1%
3150000 165
 
3.2%
Distinct2097
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-05-11T03:14:45.772542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters102800
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

Unique1316 ?
Unique (%)25.6%

Sample

1st rowCDFF3241092023000024
2nd rowCDFF3241092023000015
3rd rowCDFF3241092020000006
4th rowCDFF3241092023000017
5th rowCDFF3241092022000175
ValueCountFrequency (%)
cdff3241092022000001 25
 
0.5%
cdff3241092022000002 25
 
0.5%
cdff3241092021000002 23
 
0.4%
cdff3241092023000001 23
 
0.4%
cdff3241092022000003 23
 
0.4%
cdff3241092021000004 23
 
0.4%
cdff3241092021000001 22
 
0.4%
cdff3241092023000002 22
 
0.4%
cdff3241092020000001 22
 
0.4%
cdff3241092022000004 21
 
0.4%
Other values (2087) 4911
95.5%
2024-05-11T03:14:47.209029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31981
31.1%
2 14760
14.4%
1 10731
 
10.4%
F 10280
 
10.0%
3 6780
 
6.6%
4 6356
 
6.2%
9 6246
 
6.1%
C 5140
 
5.0%
D 5140
 
5.0%
5 2065
 
2.0%
Other values (3) 3321
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82240
80.0%
Uppercase Letter 20560
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31981
38.9%
2 14760
17.9%
1 10731
 
13.0%
3 6780
 
8.2%
4 6356
 
7.7%
9 6246
 
7.6%
5 2065
 
2.5%
6 1219
 
1.5%
7 1090
 
1.3%
8 1012
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 10280
50.0%
C 5140
25.0%
D 5140
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82240
80.0%
Latin 20560
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31981
38.9%
2 14760
17.9%
1 10731
 
13.0%
3 6780
 
8.2%
4 6356
 
7.7%
9 6246
 
7.6%
5 2065
 
2.5%
6 1219
 
1.5%
7 1090
 
1.3%
8 1012
 
1.2%
Latin
ValueCountFrequency (%)
F 10280
50.0%
C 5140
25.0%
D 5140
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31981
31.1%
2 14760
14.4%
1 10731
 
10.4%
F 10280
 
10.0%
3 6780
 
6.6%
4 6356
 
6.2%
9 6246
 
6.1%
C 5140
 
5.0%
D 5140
 
5.0%
5 2065
 
2.0%
Other values (3) 3321
 
3.2%
Distinct1655
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2014-10-28 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T03:14:47.771948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:48.393232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
5137 
20160201
 
1
20171115
 
1
20151127
 
1

Length

Max length8
Median length4
Mean length4.0023346
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5137
99.9%
20160201 1
 
< 0.1%
20171115 1
 
< 0.1%
20151127 1
 
< 0.1%

Length

2024-05-11T03:14:49.052103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:49.519864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5137
99.9%
20160201 1
 
< 0.1%
20171115 1
 
< 0.1%
20151127 1
 
< 0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
1
4055 
3
669 
5
 
354
2
 
50
4
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row5
4th row3
5th row5

Common Values

ValueCountFrequency (%)
1 4055
78.9%
3 669
 
13.0%
5 354
 
6.9%
2 50
 
1.0%
4 12
 
0.2%

Length

2024-05-11T03:14:49.975546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:50.469203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4055
78.9%
3 669
 
13.0%
5 354
 
6.9%
2 50
 
1.0%
4 12
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
영업/정상
4055 
폐업
669 
제외/삭제/전출
 
354
휴업
 
50
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length4.8079767
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 4055
78.9%
폐업 669
 
13.0%
제외/삭제/전출 354
 
6.9%
휴업 50
 
1.0%
취소/말소/만료/정지/중지 12
 
0.2%

Length

2024-05-11T03:14:51.247984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:51.590774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4055
78.9%
폐업 669
 
13.0%
제외/삭제/전출 354
 
6.9%
휴업 50
 
1.0%
취소/말소/만료/정지/중지 12
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.775875
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-05-11T03:14:52.053639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q113
median13
Q313
95-th percentile15
Maximum35
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7317581
Coefficient of variation (CV)0.31689857
Kurtosis4.1776728
Mean11.775875
Median Absolute Deviation (MAD)0
Skewness-1.3441115
Sum60528
Variance13.926018
MonotonicityNot monotonic
2024-05-11T03:14:52.420671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 4055
78.9%
3 669
 
13.0%
15 354
 
6.9%
2 50
 
1.0%
35 7
 
0.1%
31 2
 
< 0.1%
32 2
 
< 0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
2 50
 
1.0%
3 669
 
13.0%
13 4055
78.9%
15 354
 
6.9%
25 1
 
< 0.1%
31 2
 
< 0.1%
32 2
 
< 0.1%
35 7
 
0.1%
ValueCountFrequency (%)
35 7
 
0.1%
32 2
 
< 0.1%
31 2
 
< 0.1%
25 1
 
< 0.1%
15 354
 
6.9%
13 4055
78.9%
3 669
 
13.0%
2 50
 
1.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
영업중
4055 
폐업
669 
전출
 
354
휴업
 
50
직권말소
 
7
Other values (3)
 
5

Length

Max length4
Median length3
Mean length2.7935798
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 4055
78.9%
폐업 669
 
13.0%
전출 354
 
6.9%
휴업 50
 
1.0%
직권말소 7
 
0.1%
등록취소 2
 
< 0.1%
신고취소 2
 
< 0.1%
영업정지 1
 
< 0.1%

Length

2024-05-11T03:14:53.023973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:14:53.527544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 4055
78.9%
폐업 669
 
13.0%
전출 354
 
6.9%
휴업 50
 
1.0%
직권말소 7
 
0.1%
등록취소 2
 
< 0.1%
신고취소 2
 
< 0.1%
영업정지 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct735
Distinct (%)71.6%
Missing4113
Missing (%)80.0%
Memory size40.3 KiB
Minimum2015-03-06 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T03:14:54.114268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:54.734053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct50
Distinct (%)98.0%
Missing5089
Missing (%)99.0%
Memory size40.3 KiB
Minimum2015-06-03 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T03:14:55.126785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:55.587487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct48
Distinct (%)94.1%
Missing5089
Missing (%)99.0%
Memory size40.3 KiB
Minimum2015-12-03 00:00:00
Maximum2044-05-30 00:00:00
2024-05-11T03:14:56.062686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:14:56.612844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

전화번호
Text

MISSING 

Distinct1278
Distinct (%)94.6%
Missing3789
Missing (%)73.7%
Memory size40.3 KiB
2024-05-11T03:14:57.253948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.490007
Min length1

Characters and Unicode

Total characters15523
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1212 ?
Unique (%)89.7%

Sample

1st row02-568-7377
2nd row02-540-2010
3rd row02-2675-6633
4th row02-540-2010
5th row02-2652-5525
ValueCountFrequency (%)
02 8
 
0.6%
02-546-2321 3
 
0.2%
02-516-0358 3
 
0.2%
02-3444-0105 3
 
0.2%
02-3490-9300 3
 
0.2%
02-576-3467 3
 
0.2%
02-540-2010 3
 
0.2%
02-3444-7739 3
 
0.2%
070 3
 
0.2%
070-4400-1115 2
 
0.1%
Other values (1276) 1334
97.5%
2024-05-11T03:14:58.517308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2597
16.7%
- 2514
16.2%
2 2144
13.8%
5 1270
8.2%
7 1201
7.7%
4 1136
7.3%
3 1116
7.2%
1 1011
 
6.5%
6 934
 
6.0%
8 858
 
5.5%
Other values (6) 742
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12976
83.6%
Dash Punctuation 2514
 
16.2%
Space Separator 18
 
0.1%
Close Punctuation 10
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2597
20.0%
2 2144
16.5%
5 1270
9.8%
7 1201
9.3%
4 1136
8.8%
3 1116
8.6%
1 1011
 
7.8%
6 934
 
7.2%
8 858
 
6.6%
9 709
 
5.5%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
= 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2514
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15523
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2597
16.7%
- 2514
16.2%
2 2144
13.8%
5 1270
8.2%
7 1201
7.7%
4 1136
7.3%
3 1116
7.2%
1 1011
 
6.5%
6 934
 
6.0%
8 858
 
5.5%
Other values (6) 742
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2597
16.7%
- 2514
16.2%
2 2144
13.8%
5 1270
8.2%
7 1201
7.7%
4 1136
7.3%
3 1116
7.2%
1 1011
 
6.5%
6 934
 
6.0%
8 858
 
5.5%
Other values (6) 742
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

지번주소
Text

MISSING 

Distinct2964
Distinct (%)59.9%
Missing188
Missing (%)3.7%
Memory size40.3 KiB
2024-05-11T03:14:59.538963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length24.654281
Min length14

Characters and Unicode

Total characters122088
Distinct characters583
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2433 ?
Unique (%)49.1%

Sample

1st row서울특별시 강남구 역삼동 ***-**
2nd row서울특별시 마포구 합정동 ***-**
3rd row서울특별시 강남구 논현동 **-**
4th row서울특별시 마포구 망원동 ***-**
5th row서울특별시 강남구 삼성동 **-**
ValueCountFrequency (%)
서울특별시 4951
21.1%
3039
 
13.0%
강남구 1896
 
8.1%
번지 1848
 
7.9%
마포구 707
 
3.0%
논현동 605
 
2.6%
서초구 544
 
2.3%
455
 
1.9%
역삼동 365
 
1.6%
신사동 313
 
1.3%
Other values (2088) 8689
37.1%
2024-05-11T03:15:01.342963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 22943
18.8%
21045
17.2%
6264
 
5.1%
5550
 
4.5%
5079
 
4.2%
5014
 
4.1%
4988
 
4.1%
4957
 
4.1%
4953
 
4.1%
- 4324
 
3.5%
Other values (573) 36971
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72027
59.0%
Other Punctuation 22997
 
18.8%
Space Separator 21045
 
17.2%
Dash Punctuation 4324
 
3.5%
Uppercase Letter 882
 
0.7%
Decimal Number 463
 
0.4%
Lowercase Letter 271
 
0.2%
Close Punctuation 32
 
< 0.1%
Open Punctuation 32
 
< 0.1%
Letter Number 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6264
 
8.7%
5550
 
7.7%
5079
 
7.1%
5014
 
7.0%
4988
 
6.9%
4957
 
6.9%
4953
 
6.9%
2249
 
3.1%
2106
 
2.9%
2102
 
2.9%
Other values (501) 28765
39.9%
Uppercase Letter
ValueCountFrequency (%)
E 80
 
9.1%
T 72
 
8.2%
B 57
 
6.5%
M 56
 
6.3%
S 56
 
6.3%
O 52
 
5.9%
R 52
 
5.9%
C 49
 
5.6%
A 46
 
5.2%
K 43
 
4.9%
Other values (16) 319
36.2%
Lowercase Letter
ValueCountFrequency (%)
e 52
19.2%
o 32
11.8%
r 23
8.5%
t 22
 
8.1%
s 17
 
6.3%
w 15
 
5.5%
n 14
 
5.2%
l 14
 
5.2%
i 13
 
4.8%
u 12
 
4.4%
Other values (11) 57
21.0%
Decimal Number
ValueCountFrequency (%)
1 76
16.4%
3 59
12.7%
2 53
11.4%
5 52
11.2%
6 46
9.9%
7 41
8.9%
4 38
8.2%
0 37
8.0%
8 34
7.3%
9 27
 
5.8%
Other Punctuation
ValueCountFrequency (%)
* 22943
99.8%
, 31
 
0.1%
. 19
 
0.1%
& 2
 
< 0.1%
/ 1
 
< 0.1%
? 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
8
53.3%
4
26.7%
3
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 31
96.9%
] 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 31
96.9%
[ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
21045
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72025
59.0%
Common 48893
40.0%
Latin 1168
 
1.0%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6264
 
8.7%
5550
 
7.7%
5079
 
7.1%
5014
 
7.0%
4988
 
6.9%
4957
 
6.9%
4953
 
6.9%
2249
 
3.1%
2106
 
2.9%
2102
 
2.9%
Other values (499) 28763
39.9%
Latin
ValueCountFrequency (%)
E 80
 
6.8%
T 72
 
6.2%
B 57
 
4.9%
M 56
 
4.8%
S 56
 
4.8%
e 52
 
4.5%
O 52
 
4.5%
R 52
 
4.5%
C 49
 
4.2%
A 46
 
3.9%
Other values (40) 596
51.0%
Common
ValueCountFrequency (%)
* 22943
46.9%
21045
43.0%
- 4324
 
8.8%
1 76
 
0.2%
3 59
 
0.1%
2 53
 
0.1%
5 52
 
0.1%
6 46
 
0.1%
7 41
 
0.1%
4 38
 
0.1%
Other values (12) 216
 
0.4%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72025
59.0%
ASCII 50046
41.0%
Number Forms 15
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 22943
45.8%
21045
42.1%
- 4324
 
8.6%
E 80
 
0.2%
1 76
 
0.2%
T 72
 
0.1%
3 59
 
0.1%
B 57
 
0.1%
M 56
 
0.1%
S 56
 
0.1%
Other values (59) 1278
 
2.6%
Hangul
ValueCountFrequency (%)
6264
 
8.7%
5550
 
7.7%
5079
 
7.1%
5014
 
7.0%
4988
 
6.9%
4957
 
6.9%
4953
 
6.9%
2249
 
3.1%
2106
 
2.9%
2102
 
2.9%
Other values (499) 28763
39.9%
Number Forms
ValueCountFrequency (%)
8
53.3%
4
26.7%
3
 
20.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct4021
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-05-11T03:15:02.215134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length53
Mean length34.817315
Min length22

Characters and Unicode

Total characters178961
Distinct characters627
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3484 ?
Unique (%)67.8%

Sample

1st row서울특별시 강남구 선릉로***길 *, *층 (역삼동)
2nd row서울특별시 마포구 양화로*길 **, *층 (합정동)
3rd row서울특별시 강남구 도산대로*길 **-*, *층 (논현동)
4th row서울특별시 마포구 월드컵로**길 **, 지하*층 (망원동)
5th row서울특별시 강남구 봉은사로**길 **, 지하*층 (삼성동)
ValueCountFrequency (%)
서울특별시 5139
 
14.8%
5107
 
14.7%
2312
 
6.7%
2024
 
5.8%
강남구 1973
 
5.7%
마포구 707
 
2.0%
논현동 630
 
1.8%
서초구 547
 
1.6%
역삼동 377
 
1.1%
신사동 330
 
1.0%
Other values (3414) 15496
44.7%
2024-05-11T03:15:03.275038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 30054
16.8%
29510
 
16.5%
6696
 
3.7%
6515
 
3.6%
, 5585
 
3.1%
5377
 
3.0%
5249
 
2.9%
5229
 
2.9%
5217
 
2.9%
) 5171
 
2.9%
Other values (617) 74358
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100367
56.1%
Other Punctuation 35667
 
19.9%
Space Separator 29510
 
16.5%
Close Punctuation 5172
 
2.9%
Open Punctuation 5172
 
2.9%
Uppercase Letter 1224
 
0.7%
Dash Punctuation 884
 
0.5%
Decimal Number 627
 
0.4%
Lowercase Letter 308
 
0.2%
Letter Number 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6696
 
6.7%
6515
 
6.5%
5377
 
5.4%
5249
 
5.2%
5229
 
5.2%
5217
 
5.2%
5146
 
5.1%
5143
 
5.1%
3309
 
3.3%
2995
 
3.0%
Other values (543) 49491
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 207
16.9%
A 87
 
7.1%
T 83
 
6.8%
E 82
 
6.7%
S 80
 
6.5%
C 72
 
5.9%
M 66
 
5.4%
O 60
 
4.9%
R 59
 
4.8%
K 55
 
4.5%
Other values (16) 373
30.5%
Lowercase Letter
ValueCountFrequency (%)
e 56
18.2%
o 35
11.4%
r 25
 
8.1%
t 22
 
7.1%
s 19
 
6.2%
w 17
 
5.5%
l 17
 
5.5%
i 16
 
5.2%
n 16
 
5.2%
u 14
 
4.5%
Other values (12) 71
23.1%
Decimal Number
ValueCountFrequency (%)
1 152
24.2%
2 100
15.9%
0 75
12.0%
3 64
10.2%
6 52
 
8.3%
4 48
 
7.7%
7 42
 
6.7%
5 41
 
6.5%
8 29
 
4.6%
9 24
 
3.8%
Other Punctuation
ValueCountFrequency (%)
* 30054
84.3%
, 5585
 
15.7%
. 22
 
0.1%
& 3
 
< 0.1%
/ 2
 
< 0.1%
? 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
9
56.2%
4
25.0%
3
 
18.8%
Close Punctuation
ValueCountFrequency (%)
) 5171
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5171
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
29510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100365
56.1%
Common 77046
43.1%
Latin 1548
 
0.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6696
 
6.7%
6515
 
6.5%
5377
 
5.4%
5249
 
5.2%
5229
 
5.2%
5217
 
5.2%
5146
 
5.1%
5143
 
5.1%
3309
 
3.3%
2995
 
3.0%
Other values (541) 49489
49.3%
Latin
ValueCountFrequency (%)
B 207
 
13.4%
A 87
 
5.6%
T 83
 
5.4%
E 82
 
5.3%
S 80
 
5.2%
C 72
 
4.7%
M 66
 
4.3%
O 60
 
3.9%
R 59
 
3.8%
e 56
 
3.6%
Other values (41) 696
45.0%
Common
ValueCountFrequency (%)
* 30054
39.0%
29510
38.3%
, 5585
 
7.2%
) 5171
 
6.7%
( 5171
 
6.7%
- 884
 
1.1%
1 152
 
0.2%
2 100
 
0.1%
0 75
 
0.1%
3 64
 
0.1%
Other values (13) 280
 
0.4%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100365
56.1%
ASCII 78578
43.9%
Number Forms 16
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 30054
38.2%
29510
37.6%
, 5585
 
7.1%
) 5171
 
6.6%
( 5171
 
6.6%
- 884
 
1.1%
B 207
 
0.3%
1 152
 
0.2%
2 100
 
0.1%
A 87
 
0.1%
Other values (61) 1657
 
2.1%
Hangul
ValueCountFrequency (%)
6696
 
6.7%
6515
 
6.5%
5377
 
5.4%
5249
 
5.2%
5229
 
5.2%
5217
 
5.2%
5146
 
5.1%
5143
 
5.1%
3309
 
3.3%
2995
 
3.0%
Other values (541) 49489
49.3%
Number Forms
ValueCountFrequency (%)
9
56.2%
4
25.0%
3
 
18.8%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1630
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-05-11T03:15:04.013748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0223735
Min length5

Characters and Unicode

Total characters25815
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique840 ?
Unique (%)16.3%

Sample

1st row06143
2nd row04026
3rd row06038
4th row04018
5th row06093
ValueCountFrequency (%)
06049 50
 
1.0%
06040 40
 
0.8%
06083 35
 
0.7%
06100 33
 
0.6%
06028 33
 
0.6%
06097 32
 
0.6%
06105 29
 
0.6%
06069 28
 
0.5%
06037 27
 
0.5%
06178 26
 
0.5%
Other values (1620) 4807
93.5%
2024-05-11T03:15:05.303578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7712
29.9%
6 3655
14.2%
4 2207
 
8.5%
3 2167
 
8.4%
7 1955
 
7.6%
1 1890
 
7.3%
5 1749
 
6.8%
2 1740
 
6.7%
9 1445
 
5.6%
8 1282
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25802
99.9%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7712
29.9%
6 3655
14.2%
4 2207
 
8.6%
3 2167
 
8.4%
7 1955
 
7.6%
1 1890
 
7.3%
5 1749
 
6.8%
2 1740
 
6.7%
9 1445
 
5.6%
8 1282
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25815
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7712
29.9%
6 3655
14.2%
4 2207
 
8.5%
3 2167
 
8.4%
7 1955
 
7.6%
1 1890
 
7.3%
5 1749
 
6.8%
2 1740
 
6.7%
9 1445
 
5.6%
8 1282
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7712
29.9%
6 3655
14.2%
4 2207
 
8.5%
3 2167
 
8.4%
7 1955
 
7.6%
1 1890
 
7.3%
5 1749
 
6.8%
2 1740
 
6.7%
9 1445
 
5.6%
8 1282
 
5.0%
Distinct4867
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-05-11T03:15:05.846113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length10.742607
Min length1

Characters and Unicode

Total characters55217
Distinct characters808
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4613 ?
Unique (%)89.7%

Sample

1st row(주)메이드웰뮤직
2nd row주식회사 티라미수레코드
3rd row(주)캐빈74
4th row닥터손 엔터테인먼트
5th row(주)웰메이킹
ValueCountFrequency (%)
주식회사 1715
 
21.2%
엔터테인먼트 211
 
2.6%
140
 
1.7%
entertainment 56
 
0.7%
컴퍼니 40
 
0.5%
매니지먼트 30
 
0.4%
music 29
 
0.4%
에이전시 26
 
0.3%
company 24
 
0.3%
유한회사 21
 
0.3%
Other values (5199) 5782
71.6%
2024-05-11T03:15:06.906392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3547
 
6.4%
2936
 
5.3%
2249
 
4.1%
) 2216
 
4.0%
( 2214
 
4.0%
1968
 
3.6%
1870
 
3.4%
1869
 
3.4%
1771
 
3.2%
1747
 
3.2%
Other values (798) 32830
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42923
77.7%
Space Separator 2936
 
5.3%
Lowercase Letter 2362
 
4.3%
Close Punctuation 2217
 
4.0%
Open Punctuation 2216
 
4.0%
Uppercase Letter 2168
 
3.9%
Decimal Number 189
 
0.3%
Other Punctuation 150
 
0.3%
Other Symbol 41
 
0.1%
Dash Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3547
 
8.3%
2249
 
5.2%
1968
 
4.6%
1870
 
4.4%
1869
 
4.4%
1771
 
4.1%
1747
 
4.1%
1677
 
3.9%
1623
 
3.8%
1547
 
3.6%
Other values (722) 23055
53.7%
Lowercase Letter
ValueCountFrequency (%)
n 313
13.3%
e 297
12.6%
t 282
11.9%
o 188
 
8.0%
a 182
 
7.7%
i 171
 
7.2%
r 149
 
6.3%
m 112
 
4.7%
s 101
 
4.3%
u 84
 
3.6%
Other values (16) 483
20.4%
Uppercase Letter
ValueCountFrequency (%)
E 242
 
11.2%
M 178
 
8.2%
A 152
 
7.0%
N 151
 
7.0%
T 144
 
6.6%
S 133
 
6.1%
C 129
 
6.0%
O 127
 
5.9%
I 106
 
4.9%
L 92
 
4.2%
Other values (16) 714
32.9%
Decimal Number
ValueCountFrequency (%)
2 44
23.3%
1 26
13.8%
3 22
11.6%
0 20
10.6%
4 14
 
7.4%
7 14
 
7.4%
5 14
 
7.4%
6 13
 
6.9%
8 12
 
6.3%
9 10
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 88
58.7%
& 26
 
17.3%
, 24
 
16.0%
' 9
 
6.0%
? 2
 
1.3%
% 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 2216
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2214
99.9%
[ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
2936
100.0%
Other Symbol
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42959
77.8%
Common 7723
 
14.0%
Latin 4530
 
8.2%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3547
 
8.3%
2249
 
5.2%
1968
 
4.6%
1870
 
4.4%
1869
 
4.4%
1771
 
4.1%
1747
 
4.1%
1677
 
3.9%
1623
 
3.8%
1547
 
3.6%
Other values (719) 23091
53.8%
Latin
ValueCountFrequency (%)
n 313
 
6.9%
e 297
 
6.6%
t 282
 
6.2%
E 242
 
5.3%
o 188
 
4.2%
a 182
 
4.0%
M 178
 
3.9%
i 171
 
3.8%
A 152
 
3.4%
N 151
 
3.3%
Other values (42) 2374
52.4%
Common
ValueCountFrequency (%)
2936
38.0%
) 2216
28.7%
( 2214
28.7%
. 88
 
1.1%
2 44
 
0.6%
& 26
 
0.3%
1 26
 
0.3%
, 24
 
0.3%
3 22
 
0.3%
0 20
 
0.3%
Other values (13) 107
 
1.4%
Han
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42918
77.7%
ASCII 12253
 
22.2%
None 41
 
0.1%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3547
 
8.3%
2249
 
5.2%
1968
 
4.6%
1870
 
4.4%
1869
 
4.4%
1771
 
4.1%
1747
 
4.1%
1677
 
3.9%
1623
 
3.8%
1547
 
3.6%
Other values (718) 23050
53.7%
ASCII
ValueCountFrequency (%)
2936
24.0%
) 2216
18.1%
( 2214
18.1%
n 313
 
2.6%
e 297
 
2.4%
t 282
 
2.3%
E 242
 
2.0%
o 188
 
1.5%
a 182
 
1.5%
M 178
 
1.5%
Other values (65) 3205
26.2%
None
ValueCountFrequency (%)
41
100.0%
CJK
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Distinct5111
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2015-04-16 10:13:29
Maximum2024-05-09 18:03:46
2024-05-11T03:15:07.298003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:15:07.883175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
I
3060 
U
2075 
D
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3060
59.5%
U 2075
40.4%
D 5
 
0.1%

Length

2024-05-11T03:15:08.389789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:08.772797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3060
59.5%
u 2075
40.4%
d 5
 
0.1%
Distinct1552
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:15:09.278556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:15:09.751720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct3722
Distinct (%)72.8%
Missing29
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean199877.24
Minimum183007.22
Maximum215672.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-05-11T03:15:10.269636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183007.22
5-th percentile189728.36
Q1194016.58
median202177.71
Q3203667.25
95-th percentile207234.93
Maximum215672.15
Range32664.927
Interquartile range (IQR)9650.6694

Descriptive statistics

Standard deviation5827.5801
Coefficient of variation (CV)0.029155796
Kurtosis-0.40551254
Mean199877.24
Median Absolute Deviation (MAD)2362.0218
Skewness-0.61713193
Sum1.0215726 × 109
Variance33960690
MonotonicityNot monotonic
2024-05-11T03:15:10.824122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205271.275273064 29
 
0.6%
203588.048190661 26
 
0.5%
205079.418138107 23
 
0.4%
202501.602561199 17
 
0.3%
202233.376703439 11
 
0.2%
205039.907145725 11
 
0.2%
190335.496775957 11
 
0.2%
190125.564768858 10
 
0.2%
193282.654266684 9
 
0.2%
189954.316212248 9
 
0.2%
Other values (3712) 4955
96.4%
(Missing) 29
 
0.6%
ValueCountFrequency (%)
183007.220061564 1
< 0.1%
183077.104950217 1
< 0.1%
183233.355705347 1
< 0.1%
183240.476205201 1
< 0.1%
183269.701256706 1
< 0.1%
183364.801646741 1
< 0.1%
183567.417575573 1
< 0.1%
183660.874187038 1
< 0.1%
183768.696418792 1
< 0.1%
184131.371323249 1
< 0.1%
ValueCountFrequency (%)
215672.146934322 1
 
< 0.1%
215278.711932608 1
 
< 0.1%
213447.791183965 2
< 0.1%
213050.879803312 1
 
< 0.1%
212964.062169762 3
0.1%
212910.082832312 1
 
< 0.1%
212849.374087578 1
 
< 0.1%
212775.796583888 1
 
< 0.1%
212755.661843784 1
 
< 0.1%
212742.813022714 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

Distinct3721
Distinct (%)72.8%
Missing29
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean447250.96
Minimum423751.13
Maximum463733.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-05-11T03:15:11.530801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423751.13
5-th percentile442260.44
Q1445006.36
median446533.08
Q3449580.65
95-th percentile453215.08
Maximum463733.99
Range39982.864
Interquartile range (IQR)4574.2824

Descriptive statistics

Standard deviation3467.7396
Coefficient of variation (CV)0.0077534536
Kurtosis1.7214156
Mean447250.96
Median Absolute Deviation (MAD)2246.0276
Skewness0.7573499
Sum2.2858997 × 109
Variance12025218
MonotonicityNot monotonic
2024-05-11T03:15:12.200025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445852.638814088 29
 
0.6%
446183.368328818 26
 
0.5%
444869.834721154 23
 
0.4%
443226.434038556 17
 
0.3%
446247.902496745 11
 
0.2%
449216.223655036 11
 
0.2%
452758.642764785 11
 
0.2%
453090.149821248 10
 
0.2%
447611.552045596 9
 
0.2%
453263.335891345 9
 
0.2%
Other values (3711) 4955
96.4%
(Missing) 29
 
0.6%
ValueCountFrequency (%)
423751.127560421 1
 
< 0.1%
438676.265147281 1
 
< 0.1%
438823.968061 1
 
< 0.1%
439625.973169526 1
 
< 0.1%
439663.585570958 1
 
< 0.1%
440136.781183797 3
0.1%
440163.317524379 1
 
< 0.1%
440303.490253141 1
 
< 0.1%
440405.225542776 1
 
< 0.1%
440409.280960652 1
 
< 0.1%
ValueCountFrequency (%)
463733.991468683 1
< 0.1%
463663.845683785 1
< 0.1%
463287.58270761 1
< 0.1%
462991.917036011 1
< 0.1%
462810.472178855 1
< 0.1%
462657.576308548 1
< 0.1%
462323.273453412 1
< 0.1%
462298.014627148 1
< 0.1%
462249.755144886 1
< 0.1%
462021.040795822 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
대중문화예술기획업
3071 
<NA>
2069 

Length

Max length9
Median length9
Mean length6.9873541
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 (%)
대중문화예술기획업 3071
59.7%
<NA> 2069
40.3%

Length

2024-05-11T03:15:12.761547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:13.198479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 3071
59.7%
na 2069
40.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
유통관련업
3071 
<NA>
2069 

Length

Max length5
Median length5
Mean length4.5974708
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 (%)
유통관련업 3071
59.7%
<NA> 2069
40.3%

Length

2024-05-11T03:15:13.780972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:14.216321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 3071
59.7%
na 2069
40.3%

총층수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4540 
0
600 

Length

Max length4
Median length4
Mean length3.6498054
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> 4540
88.3%
0 600
 
11.7%

Length

2024-05-11T03:15:14.901263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:15.271643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4540
88.3%
0 600
 
11.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB
Distinct915
Distinct (%)29.8%
Missing2069
Missing (%)40.3%
Memory size40.3 KiB
2024-05-11T03:15:15.965760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length113
Median length63
Mean length9.0621947
Min length1

Characters and Unicode

Total characters27830
Distinct characters256
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique794 ?
Unique (%)25.9%

Sample

1st row엔터테인먼트
2nd row매니지먼트
3rd row대중문화예술기획업, 연예인매니지먼트
4th row공연 및 음반 제작, 배우 및 가수 매니지먼트
5th row매니저업
ValueCountFrequency (%)
엔터테인먼트 806
 
16.2%
매니지먼트 802
 
16.1%
연예매니지먼트 268
 
5.4%
184
 
3.7%
공연기획 156
 
3.1%
매니저업 144
 
2.9%
연예인 117
 
2.3%
모델에이전시 115
 
2.3%
108
 
2.2%
연예인대리 106
 
2.1%
Other values (680) 2177
43.7%
2024-05-11T03:15:17.934891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2394
 
8.6%
2328
 
8.4%
1913
 
6.9%
1585
 
5.7%
1578
 
5.7%
1402
 
5.0%
1358
 
4.9%
1268
 
4.6%
, 1226
 
4.4%
1004
 
3.6%
Other values (246) 11774
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24522
88.1%
Space Separator 1913
 
6.9%
Other Punctuation 1284
 
4.6%
Decimal Number 35
 
0.1%
Uppercase Letter 25
 
0.1%
Close Punctuation 22
 
0.1%
Open Punctuation 22
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2394
 
9.8%
2328
 
9.5%
1585
 
6.5%
1578
 
6.4%
1402
 
5.7%
1358
 
5.5%
1268
 
5.2%
1004
 
4.1%
947
 
3.9%
932
 
3.8%
Other values (217) 9726
39.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
20.0%
V 4
16.0%
D 3
12.0%
F 2
 
8.0%
M 2
 
8.0%
P 2
 
8.0%
N 2
 
8.0%
T 2
 
8.0%
J 1
 
4.0%
B 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
0 6
17.1%
1 5
14.3%
3 5
14.3%
8 4
11.4%
6 4
11.4%
2 4
11.4%
7 2
 
5.7%
9 2
 
5.7%
4 2
 
5.7%
5 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 1226
95.5%
/ 30
 
2.3%
. 18
 
1.4%
? 10
 
0.8%
Space Separator
ValueCountFrequency (%)
1913
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24522
88.1%
Common 3283
 
11.8%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2394
 
9.8%
2328
 
9.5%
1585
 
6.5%
1578
 
6.4%
1402
 
5.7%
1358
 
5.5%
1268
 
5.2%
1004
 
4.1%
947
 
3.9%
932
 
3.8%
Other values (217) 9726
39.7%
Common
ValueCountFrequency (%)
1913
58.3%
, 1226
37.3%
/ 30
 
0.9%
) 22
 
0.7%
( 22
 
0.7%
. 18
 
0.5%
? 10
 
0.3%
- 7
 
0.2%
0 6
 
0.2%
1 5
 
0.2%
Other values (8) 24
 
0.7%
Latin
ValueCountFrequency (%)
C 5
20.0%
V 4
16.0%
D 3
12.0%
F 2
 
8.0%
M 2
 
8.0%
P 2
 
8.0%
N 2
 
8.0%
T 2
 
8.0%
J 1
 
4.0%
B 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24521
88.1%
ASCII 3308
 
11.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2394
 
9.8%
2328
 
9.5%
1585
 
6.5%
1578
 
6.4%
1402
 
5.7%
1358
 
5.5%
1268
 
5.2%
1004
 
4.1%
947
 
3.9%
932
 
3.8%
Other values (216) 9725
39.7%
ASCII
ValueCountFrequency (%)
1913
57.8%
, 1226
37.1%
/ 30
 
0.9%
) 22
 
0.7%
( 22
 
0.7%
. 18
 
0.5%
? 10
 
0.3%
- 7
 
0.2%
0 6
 
0.2%
1 5
 
0.2%
Other values (19) 49
 
1.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct345
Distinct (%)36.9%
Missing4205
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean6516.3538
Minimum0
Maximum6037638
Zeros525
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-05-11T03:15:19.057157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q359.62
95-th percentile207.04
Maximum6037638
Range6037638
Interquartile range (IQR)59.62

Descriptive statistics

Standard deviation197450.28
Coefficient of variation (CV)30.300731
Kurtosis934.99358
Mean6516.3538
Median Absolute Deviation (MAD)0
Skewness30.577613
Sum6092790.8
Variance3.8986614 × 1010
MonotonicityNot monotonic
2024-05-11T03:15:19.644746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 525
 
10.2%
3.3 8
 
0.2%
33.0 6
 
0.1%
40.0 6
 
0.1%
80.0 5
 
0.1%
1.0 5
 
0.1%
16.5 5
 
0.1%
165.0 5
 
0.1%
100.0 4
 
0.1%
50.0 4
 
0.1%
Other values (335) 362
 
7.0%
(Missing) 4205
81.8%
ValueCountFrequency (%)
0.0 525
10.2%
0.52 1
 
< 0.1%
1.0 5
 
0.1%
1.44 1
 
< 0.1%
2.0 1
 
< 0.1%
2.2 2
 
< 0.1%
3.0 1
 
< 0.1%
3.3 8
 
0.2%
4.0 3
 
0.1%
4.2 1
 
< 0.1%
ValueCountFrequency (%)
6037638.0 1
< 0.1%
10628.0 1
< 0.1%
1775.65 1
< 0.1%
1705.78 1
< 0.1%
986.55 1
< 0.1%
684.6 1
< 0.1%
670.28 1
< 0.1%
567.0 1
< 0.1%
479.34 1
< 0.1%
449.26 1
< 0.1%

지상층수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4540 
0
600 

Length

Max length4
Median length4
Mean length3.6498054
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> 4540
88.3%
0 600
 
11.7%

Length

2024-05-11T03:15:20.317890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:20.668787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4540
88.3%
0 600
 
11.7%

지하층수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4540 
0
600 

Length

Max length4
Median length4
Mean length3.6498054
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> 4540
88.3%
0 600
 
11.7%

Length

2024-05-11T03:15:21.080276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:21.485508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4540
88.3%
0 600
 
11.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4619 
0
521 

Length

Max length4
Median length4
Mean length3.6959144
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> 4619
89.9%
0 521
 
10.1%

Length

2024-05-11T03:15:21.834984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:22.278586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4619
89.9%
0 521
 
10.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4619 
0
521 

Length

Max length4
Median length4
Mean length3.6959144
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> 4619
89.9%
0 521
 
10.1%

Length

2024-05-11T03:15:22.693817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:23.027408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4619
89.9%
0 521
 
10.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4619 
0
521 

Length

Max length4
Median length4
Mean length3.6959144
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> 4619
89.9%
0 521
 
10.1%

Length

2024-05-11T03:15:23.471966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:23.964450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4619
89.9%
0 521
 
10.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4619 
0
521 

Length

Max length4
Median length4
Mean length3.6959144
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> 4619
89.9%
0 521
 
10.1%

Length

2024-05-11T03:15:24.443929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:24.754044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4619
89.9%
0 521
 
10.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
<NA>
4619 
0
521 

Length

Max length4
Median length4
Mean length3.6959144
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> 4619
89.9%
0 521
 
10.1%

Length

2024-05-11T03:15:25.311230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:15:25.631259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4619
89.9%
0 521
 
10.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5140
Missing (%)100.0%
Memory size45.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF32410920230000242023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 선릉로***길 *, *층 (역삼동)06143(주)메이드웰뮤직2023-02-28 13:11:17I2022-12-03 00:03:00.0<NA>203786.578668445218.972038<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000CDFF32410920230000152023-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-**서울특별시 마포구 양화로*길 **, *층 (합정동)04026주식회사 티라미수레코드2024-01-10 15:31:27U2023-11-30 23:02:00.0<NA>192009.658529449733.226426<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF32410920200000062020-01-06<NA>5제외/삭제/전출15전출2023-03-06<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-**서울특별시 강남구 도산대로*길 **-*, *층 (논현동)06038(주)캐빈742023-03-06 11:16:53U2022-12-03 00:08:00.0<NA>201859.808669445925.736222<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33130000CDFF32410920230000172023-03-07<NA>3폐업3폐업2024-04-26<NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 ***-**서울특별시 마포구 월드컵로**길 **, 지하*층 (망원동)04018닥터손 엔터테인먼트2024-04-29 14:15:41U2023-12-05 00:01:00.0<NA>191743.980356450170.727965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFF32410920220001752022-10-07<NA>5제외/삭제/전출15전출2023-03-07<NA><NA><NA>02-568-7377<NA><NA>서울특별시 강남구 삼성동 **-**서울특별시 강남구 봉은사로**길 **, 지하*층 (삼성동)06093(주)웰메이킹2023-03-07 10:47:53U2022-12-03 00:09:00.0<NA>203768.209235445711.80724<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53030000CDFF32410920230000072020-08-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-540-2010<NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 뚝섬로 ***, *층 (성수동*가)04779주식회사 쇼비얀엔터테인먼트2023-03-07 14:03:54I2022-12-03 00:09:00.0<NA>204017.1577448794.031817<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF32410920230000282023-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-*서울특별시 강남구 논현로***길 **, 지하*층 (신사동)06032주식회사 씨티와이엘2023-03-13 19:29:45I2022-12-02 23:05:00.0<NA>202235.630112446722.627534<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF32410920210000072020-06-17<NA>5제외/삭제/전출15전출2023-03-08<NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 **-* 디자이너 크럽서울특별시 강남구 선릉로 ***, 디자이너 크럽 *층 ***호 (청담동)06014(주)프로듀서유나이티드2023-03-08 15:59:52U2022-12-02 23:00:00.0<NA>203473.925099446939.225244<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83030000CDFF32410920230000022016-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** KD타워서울특별시 성동구 왕십리로 ***, KD타워 ***호 (성수동*가)04766(주)투데이엔터테인먼트2023-03-08 16:34:20U2022-12-02 23:00:00.0<NA>203808.75878449612.381771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFF324109202200001620220422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** KD타워서울특별시 성동구 왕십리로 ***, KD타워 *층 ***호 (성수동*가)04766주식회사 언더덕쓰2022-04-22 14:46:15I2021-12-03 22:04:00.0<NA>203820.225447449605.252053<NA><NA><NA><NA><NA><NA><NA><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
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