Overview

Dataset statistics

Number of variables56
Number of observations23
Missing cells579
Missing cells (%)45.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory490.7 B

Variable types

Categorical19
Text9
DateTime3
Unsupported20
Numeric5

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16755/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
기존게임업외업종명 has constant value ""Constant
소재지우편번호 is highly imbalanced (74.2%)Imbalance
총층수 is highly imbalanced (67.6%)Imbalance
지상층수 is highly imbalanced (67.6%)Imbalance
지하층수 is highly imbalanced (67.6%)Imbalance
통로너비 is highly imbalanced (74.2%)Imbalance
조명시설조도 is highly imbalanced (67.6%)Imbalance
노래방실수 is highly imbalanced (74.2%)Imbalance
청소년실수 is highly imbalanced (74.2%)Imbalance
총게임기수 is highly imbalanced (67.6%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 8 (34.8%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 16 (69.6%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
도로명우편번호 has 4 (17.4%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
주변환경명 has 21 (91.3%) missing valuesMissing
시설면적 has 4 (17.4%) missing valuesMissing
건물용도명 has 21 (91.3%) missing valuesMissing
비상계단여부 has 23 (100.0%) missing valuesMissing
비상구여부 has 23 (100.0%) missing valuesMissing
자동환기여부 has 23 (100.0%) missing valuesMissing
청소년실여부 has 23 (100.0%) missing valuesMissing
특수조명여부 has 23 (100.0%) missing valuesMissing
방음시설여부 has 23 (100.0%) missing valuesMissing
비디오재생기명 has 23 (100.0%) missing valuesMissing
조명시설유무 has 23 (100.0%) missing valuesMissing
음향시설여부 has 23 (100.0%) missing valuesMissing
편의시설여부 has 23 (100.0%) missing valuesMissing
소방시설여부 has 23 (100.0%) missing valuesMissing
기존게임업외업종명 has 22 (95.7%) missing valuesMissing
공연장형태구분명 has 23 (100.0%) missing valuesMissing
품목명 has 23 (100.0%) missing valuesMissing
최초등록시점 has 23 (100.0%) missing valuesMissing
지역구분명 has 21 (91.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-05-11 00:36:52.634474
Analysis finished2024-05-11 00:36:54.080808
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3130000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 23
100.0%

Length

2024-05-11T00:36:54.288417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:54.712097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:36:55.407093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters460
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowCDFF2241032003000001
2nd rowCDFF2241032005000001
3rd rowCDFF2241032008000001
4th rowCDFF2241032009000001
5th rowCDFF2241032010000001
ValueCountFrequency (%)
cdff2241032003000001 1
 
4.3%
cdff2241032017000003 1
 
4.3%
cdff2241032021000001 1
 
4.3%
cdff2241032019000003 1
 
4.3%
cdff2241032019000002 1
 
4.3%
cdff2241032019000001 1
 
4.3%
cdff2241032018000002 1
 
4.3%
cdff2241032018000001 1
 
4.3%
cdff2241032017000006 1
 
4.3%
cdff2241032017000005 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T00:36:56.534239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
36.1%
2 75
16.3%
1 55
 
12.0%
F 46
 
10.0%
3 27
 
5.9%
4 25
 
5.4%
C 23
 
5.0%
D 23
 
5.0%
7 6
 
1.3%
9 4
 
0.9%
Other values (3) 10
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
80.0%
Uppercase Letter 92
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
45.1%
2 75
20.4%
1 55
 
14.9%
3 27
 
7.3%
4 25
 
6.8%
7 6
 
1.6%
9 4
 
1.1%
6 4
 
1.1%
5 3
 
0.8%
8 3
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 46
50.0%
C 23
25.0%
D 23
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
80.0%
Latin 92
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
45.1%
2 75
20.4%
1 55
 
14.9%
3 27
 
7.3%
4 25
 
6.8%
7 6
 
1.6%
9 4
 
1.1%
6 4
 
1.1%
5 3
 
0.8%
8 3
 
0.8%
Latin
ValueCountFrequency (%)
F 46
50.0%
C 23
25.0%
D 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
36.1%
2 75
16.3%
1 55
 
12.0%
F 46
 
10.0%
3 27
 
5.9%
4 25
 
5.4%
C 23
 
5.0%
D 23
 
5.0%
7 6
 
1.3%
9 4
 
0.9%
Other values (3) 10
 
2.2%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2003-09-06 00:00:00
Maximum2024-04-02 00:00:00
2024-05-11T00:36:56.987364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:36:57.493077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
13 
1
8 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
56.5%
1 8
34.8%
4 2
 
8.7%

Length

2024-05-11T00:36:58.099687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:58.540923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
56.5%
1 8
34.8%
4 2
 
8.7%

영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
13 
영업/정상
8 
취소/말소/만료/정지/중지
2 

Length

Max length14
Median length2
Mean length4.0869565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
56.5%
영업/정상 8
34.8%
취소/말소/만료/정지/중지 2
 
8.7%

Length

2024-05-11T00:36:59.048129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:36:59.470195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
56.5%
영업/정상 8
34.8%
취소/말소/만료/정지/중지 2
 
8.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
13 
13
8 
35
2 

Length

Max length2
Median length1
Mean length1.4347826
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
56.5%
13 8
34.8%
35 2
 
8.7%

Length

2024-05-11T00:37:00.008732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:00.493741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
56.5%
13 8
34.8%
35 2
 
8.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
13 
영업중
8 
직권말소
2 

Length

Max length4
Median length2
Mean length2.5217391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
56.5%
영업중 8
34.8%
직권말소 2
 
8.7%

Length

2024-05-11T00:37:01.177025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:01.663379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
56.5%
영업중 8
34.8%
직권말소 2
 
8.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing8
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean20170053
Minimum20070626
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:37:02.014793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070626
5-th percentile20077476
Q120155564
median20191230
Q320201018
95-th percentile20210586
Maximum20211231
Range140605
Interquartile range (IQR)45453.5

Descriptive statistics

Standard deviation49860.427
Coefficient of variation (CV)0.0024720028
Kurtosis0.054743168
Mean20170053
Median Absolute Deviation (MAD)18884
Skewness-1.2601634
Sum3.0255079 × 108
Variance2.4860622 × 109
MonotonicityNot monotonic
2024-05-11T00:37:02.364101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20191230 2
 
8.7%
20070626 1
 
4.3%
20080411 1
 
4.3%
20090529 1
 
4.3%
20180905 1
 
4.3%
20211231 1
 
4.3%
20140915 1
 
4.3%
20170213 1
 
4.3%
20210310 1
 
4.3%
20200218 1
 
4.3%
Other values (4) 4
17.4%
(Missing) 8
34.8%
ValueCountFrequency (%)
20070626 1
4.3%
20080411 1
4.3%
20090529 1
4.3%
20140915 1
4.3%
20170213 1
4.3%
20180905 1
4.3%
20191230 2
8.7%
20200218 1
4.3%
20200826 1
4.3%
20201016 1
4.3%
ValueCountFrequency (%)
20211231 1
4.3%
20210310 1
4.3%
20210114 1
4.3%
20201019 1
4.3%
20201016 1
4.3%
20200826 1
4.3%
20200218 1
4.3%
20191230 2
8.7%
20180905 1
4.3%
20170213 1
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing16
Missing (%)69.6%
Memory size316.0 B
2024-05-11T00:37:02.972923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.285714
Min length8

Characters and Unicode

Total characters72
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

Unique7 ?
Unique (%)100.0%

Sample

1st row333-1614
2nd row070-7629-4668
3rd row02-333-7799
4th row02-543-6501
5th row02-322-7119
ValueCountFrequency (%)
333-1614 1
14.3%
070-7629-4668 1
14.3%
02-333-7799 1
14.3%
02-543-6501 1
14.3%
02-322-7119 1
14.3%
027865639 1
14.3%
027111543 1
14.3%
2024-05-11T00:37:03.967870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 10
13.9%
- 9
12.5%
1 8
11.1%
0 8
11.1%
2 8
11.1%
6 7
9.7%
7 7
9.7%
9 5
6.9%
4 4
 
5.6%
5 4
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
87.5%
Dash Punctuation 9
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 10
15.9%
1 8
12.7%
0 8
12.7%
2 8
12.7%
6 7
11.1%
7 7
11.1%
9 5
7.9%
4 4
 
6.3%
5 4
 
6.3%
8 2
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 10
13.9%
- 9
12.5%
1 8
11.1%
0 8
11.1%
2 8
11.1%
6 7
9.7%
7 7
9.7%
9 5
6.9%
4 4
 
5.6%
5 4
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 10
13.9%
- 9
12.5%
1 8
11.1%
0 8
11.1%
2 8
11.1%
6 7
9.7%
7 7
9.7%
9 5
6.9%
4 4
 
5.6%
5 4
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
121826
 
1

Length

Max length6
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row121826
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
121826 1
 
4.3%

Length

2024-05-11T00:37:04.595452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:04.940694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
121826 1
 
4.3%

지번주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:37:05.318747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length25.478261
Min length20

Characters and Unicode

Total characters586
Distinct characters61
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

Unique21 ?
Unique (%)91.3%

Sample

1st row서울특별시 마포구 망원동 474-3번지
2nd row서울특별시 마포구 신수동 1-3번지 지하1층
3rd row서울특별시 마포구 동교동 155-27번지 B12, B13
4th row서울특별시 마포구 서교동 363-17번지 6층
5th row서울특별시 마포구 서교동 355-2 3층
ValueCountFrequency (%)
서울특별시 23
19.8%
마포구 23
19.8%
서교동 15
 
12.9%
355-2 3
 
2.6%
3층 3
 
2.6%
도화동 2
 
1.7%
상수동 2
 
1.7%
동교동 2
 
1.7%
358-51번지 2
 
1.7%
1층 2
 
1.7%
Other values (39) 39
33.6%
2024-05-11T00:37:06.230296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
19.1%
서 38
 
6.5%
동 26
 
4.4%
1 24
 
4.1%
3 24
 
4.1%
울 23
 
3.9%
특 23
 
3.9%
별 23
 
3.9%
시 23
 
3.9%
마 23
 
3.9%
Other values (51) 247
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
55.3%
Decimal Number 122
 
20.8%
Space Separator 112
 
19.1%
Dash Punctuation 21
 
3.6%
Uppercase Letter 3
 
0.5%
Math Symbol 2
 
0.3%
Other Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 38
11.7%
동 26
 
8.0%
울 23
 
7.1%
특 23
 
7.1%
별 23
 
7.1%
시 23
 
7.1%
마 23
 
7.1%
포 23
 
7.1%
구 23
 
7.1%
교 17
 
5.2%
Other values (34) 82
25.3%
Decimal Number
ValueCountFrequency (%)
1 24
19.7%
3 24
19.7%
5 23
18.9%
2 14
11.5%
4 10
8.2%
7 7
 
5.7%
6 7
 
5.7%
8 6
 
4.9%
0 6
 
4.9%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
55.3%
Common 258
44.0%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 38
11.7%
동 26
 
8.0%
울 23
 
7.1%
특 23
 
7.1%
별 23
 
7.1%
시 23
 
7.1%
마 23
 
7.1%
포 23
 
7.1%
구 23
 
7.1%
교 17
 
5.2%
Other values (34) 82
25.3%
Common
ValueCountFrequency (%)
112
43.4%
1 24
 
9.3%
3 24
 
9.3%
5 23
 
8.9%
- 21
 
8.1%
2 14
 
5.4%
4 10
 
3.9%
7 7
 
2.7%
6 7
 
2.7%
8 6
 
2.3%
Other values (4) 10
 
3.9%
Latin
ValueCountFrequency (%)
B 2
50.0%
L 1
25.0%
b 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
55.3%
ASCII 262
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
42.7%
1 24
 
9.2%
3 24
 
9.2%
5 23
 
8.8%
- 21
 
8.0%
2 14
 
5.3%
4 10
 
3.8%
7 7
 
2.7%
6 7
 
2.7%
8 6
 
2.3%
Other values (7) 14
 
5.3%
Hangul
ValueCountFrequency (%)
서 38
11.7%
동 26
 
8.0%
울 23
 
7.1%
특 23
 
7.1%
별 23
 
7.1%
시 23
 
7.1%
마 23
 
7.1%
포 23
 
7.1%
구 23
 
7.1%
교 17
 
5.2%
Other values (34) 82
25.3%

도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:37:06.873421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length30.869565
Min length24

Characters and Unicode

Total characters710
Distinct characters75
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 월드컵로 155 (망원동)
2nd row서울특별시 마포구 서강대길 3 (신수동,지하1층)
3rd row서울특별시 마포구 양화로 183 (동교동,B12, B13)
4th row서울특별시 마포구 어울마당로 68 (서교동,6층)
5th row서울특별시 마포구 홍익로5길 13, 3층 (서교동)
ValueCountFrequency (%)
서울특별시 23
 
16.2%
마포구 23
 
16.2%
서교동 13
 
9.2%
1층 4
 
2.8%
어울마당로 4
 
2.8%
양화로 3
 
2.1%
3층 3
 
2.1%
13 3
 
2.1%
홍익로5길 3
 
2.1%
지하1층 2
 
1.4%
Other values (55) 61
43.0%
2024-05-11T00:37:07.936429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
17.3%
서 39
 
5.5%
1 32
 
4.5%
마 28
 
3.9%
울 27
 
3.8%
동 26
 
3.7%
포 24
 
3.4%
) 23
 
3.2%
( 23
 
3.2%
시 23
 
3.2%
Other values (65) 342
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
56.9%
Space Separator 123
 
17.3%
Decimal Number 102
 
14.4%
Close Punctuation 23
 
3.2%
Open Punctuation 23
 
3.2%
Other Punctuation 22
 
3.1%
Dash Punctuation 5
 
0.7%
Uppercase Letter 4
 
0.6%
Math Symbol 3
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 39
 
9.7%
마 28
 
6.9%
울 27
 
6.7%
동 26
 
6.4%
포 24
 
5.9%
시 23
 
5.7%
구 23
 
5.7%
특 23
 
5.7%
별 23
 
5.7%
로 21
 
5.2%
Other values (46) 147
36.4%
Decimal Number
ValueCountFrequency (%)
1 32
31.4%
3 18
17.6%
2 12
 
11.8%
6 10
 
9.8%
5 9
 
8.8%
4 9
 
8.8%
0 4
 
3.9%
8 4
 
3.9%
7 3
 
2.9%
9 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
L 1
 
25.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
56.9%
Common 301
42.4%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 39
 
9.7%
마 28
 
6.9%
울 27
 
6.7%
동 26
 
6.4%
포 24
 
5.9%
시 23
 
5.7%
구 23
 
5.7%
특 23
 
5.7%
별 23
 
5.7%
로 21
 
5.2%
Other values (46) 147
36.4%
Common
ValueCountFrequency (%)
123
40.9%
1 32
 
10.6%
) 23
 
7.6%
( 23
 
7.6%
, 22
 
7.3%
3 18
 
6.0%
2 12
 
4.0%
6 10
 
3.3%
5 9
 
3.0%
4 9
 
3.0%
Other values (6) 20
 
6.6%
Latin
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
b 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
56.9%
ASCII 306
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
40.2%
1 32
 
10.5%
) 23
 
7.5%
( 23
 
7.5%
, 22
 
7.2%
3 18
 
5.9%
2 12
 
3.9%
6 10
 
3.3%
5 9
 
2.9%
4 9
 
2.9%
Other values (9) 25
 
8.2%
Hangul
ValueCountFrequency (%)
서 39
 
9.7%
마 28
 
6.9%
울 27
 
6.7%
동 26
 
6.4%
포 24
 
5.9%
시 23
 
5.7%
구 23
 
5.7%
특 23
 
5.7%
별 23
 
5.7%
로 21
 
5.2%
Other values (46) 147
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)63.2%
Missing4
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean4048.2105
Minimum3932
Maximum4174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:37:08.279499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3932
5-th percentile3988.7
Q14039
median4041
Q34046
95-th percentile4168.6
Maximum4174
Range242
Interquartile range (IQR)7

Descriptive statistics

Standard deviation51.458267
Coefficient of variation (CV)0.012711361
Kurtosis3.5867593
Mean4048.2105
Median Absolute Deviation (MAD)2
Skewness0.90638473
Sum76916
Variance2647.9532
MonotonicityNot monotonic
2024-05-11T00:37:08.630256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4039 4
17.4%
4041 3
13.0%
4040 2
8.7%
4049 2
8.7%
4043 1
 
4.3%
4042 1
 
4.3%
4038 1
 
4.3%
4067 1
 
4.3%
3995 1
 
4.3%
4168 1
 
4.3%
Other values (2) 2
8.7%
(Missing) 4
17.4%
ValueCountFrequency (%)
3932 1
 
4.3%
3995 1
 
4.3%
4038 1
 
4.3%
4039 4
17.4%
4040 2
8.7%
4041 3
13.0%
4042 1
 
4.3%
4043 1
 
4.3%
4049 2
8.7%
4067 1
 
4.3%
ValueCountFrequency (%)
4174 1
 
4.3%
4168 1
 
4.3%
4067 1
 
4.3%
4049 2
8.7%
4043 1
 
4.3%
4042 1
 
4.3%
4041 3
13.0%
4040 2
8.7%
4039 4
17.4%
4038 1
 
4.3%

사업장명
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T00:37:09.100865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length8.173913
Min length2

Characters and Unicode

Total characters188
Distinct characters95
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

Unique21 ?
Unique (%)91.3%

Sample

1st row메가웹스테이션마포
2nd row알바트로스
3rd row휴에스 홍대점
4th row엠플레이 멀티존
5th row멀티플러스 홍대점
ValueCountFrequency (%)
홍대점 5
 
12.8%
vr 4
 
10.3%
멀티플러스 2
 
5.1%
짱오락실 2
 
5.1%
pc 2
 
5.1%
cafe 2
 
5.1%
아이쩡피씨방 1
 
2.6%
친구네다락방 1
 
2.6%
몬스터파크pc 1
 
2.6%
상암월드컵점 1
 
2.6%
Other values (18) 18
46.2%
2024-05-11T00:37:10.216155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
8.5%
점 8
 
4.3%
스 7
 
3.7%
R 6
 
3.2%
홍 5
 
2.7%
대 5
 
2.7%
V 5
 
2.7%
C 5
 
2.7%
E 4
 
2.1%
P 4
 
2.1%
Other values (85) 123
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
62.8%
Uppercase Letter 36
 
19.1%
Space Separator 16
 
8.5%
Lowercase Letter 11
 
5.9%
Open Punctuation 2
 
1.1%
Other Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 8
 
6.8%
스 7
 
5.9%
홍 5
 
4.2%
대 5
 
4.2%
이 4
 
3.4%
멀 3
 
2.5%
락 3
 
2.5%
트 3
 
2.5%
티 3
 
2.5%
플 3
 
2.5%
Other values (60) 74
62.7%
Uppercase Letter
ValueCountFrequency (%)
R 6
16.7%
V 5
13.9%
C 5
13.9%
E 4
11.1%
P 4
11.1%
F 3
8.3%
A 3
8.3%
L 2
 
5.6%
Y 1
 
2.8%
I 1
 
2.8%
Other values (2) 2
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
n 4
36.4%
y 1
 
9.1%
u 1
 
9.1%
a 1
 
9.1%
d 1
 
9.1%
t 1
 
9.1%
e 1
 
9.1%
r 1
 
9.1%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
# 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118
62.8%
Latin 47
 
25.0%
Common 23
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 8
 
6.8%
스 7
 
5.9%
홍 5
 
4.2%
대 5
 
4.2%
이 4
 
3.4%
멀 3
 
2.5%
락 3
 
2.5%
트 3
 
2.5%
티 3
 
2.5%
플 3
 
2.5%
Other values (60) 74
62.7%
Latin
ValueCountFrequency (%)
R 6
12.8%
V 5
10.6%
C 5
10.6%
E 4
 
8.5%
P 4
 
8.5%
n 4
 
8.5%
F 3
 
6.4%
A 3
 
6.4%
L 2
 
4.3%
y 1
 
2.1%
Other values (10) 10
21.3%
Common
ValueCountFrequency (%)
16
69.6%
( 2
 
8.7%
# 2
 
8.7%
) 2
 
8.7%
2 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118
62.8%
ASCII 70
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
22.9%
R 6
 
8.6%
V 5
 
7.1%
C 5
 
7.1%
E 4
 
5.7%
P 4
 
5.7%
n 4
 
5.7%
F 3
 
4.3%
A 3
 
4.3%
( 2
 
2.9%
Other values (15) 18
25.7%
Hangul
ValueCountFrequency (%)
점 8
 
6.8%
스 7
 
5.9%
홍 5
 
4.2%
대 5
 
4.2%
이 4
 
3.4%
멀 3
 
2.5%
락 3
 
2.5%
트 3
 
2.5%
티 3
 
2.5%
플 3
 
2.5%
Other values (60) 74
62.7%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2007-06-26 16:30:23
Maximum2024-04-02 21:03:29
2024-05-11T00:37:10.619959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:37:11.166901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
U
14 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 14
60.9%
I 9
39.1%

Length

2024-05-11T00:37:11.567526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:11.909083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 14
60.9%
i 9
39.1%

데이터갱신일자
Date

Distinct16
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T00:37:12.282958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:37:12.767669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean193221.89
Minimum191528.66
Maximum195534.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:37:13.224943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191528.66
5-th percentile192756.39
Q1192969.83
median193002.97
Q3193047.37
95-th percentile195182.18
Maximum195534.15
Range4005.4842
Interquartile range (IQR)77.540697

Descriptive statistics

Standard deviation847.78171
Coefficient of variation (CV)0.0043876069
Kurtosis3.3909931
Mean193221.89
Median Absolute Deviation (MAD)44.400166
Skewness1.5092689
Sum4250881.7
Variance718733.82
MonotonicityNot monotonic
2024-05-11T00:37:13.806951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
193000.440895115 3
 
13.0%
193047.374351272 2
 
8.7%
191528.664363799 1
 
4.3%
193151.415804469 1
 
4.3%
195214.309334733 1
 
4.3%
192950.234129729 1
 
4.3%
195534.148554389 1
 
4.3%
193005.883365365 1
 
4.3%
193005.507475486 1
 
4.3%
192919.641104545 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
191528.664363799 1
 
4.3%
192750.531959932 1
 
4.3%
192867.612330031 1
 
4.3%
192919.641104545 1
 
4.3%
192950.234129729 1
 
4.3%
192961.998550898 1
 
4.3%
192993.338966086 1
 
4.3%
192998.975443076 1
 
4.3%
193000.440895115 3
13.0%
193005.507475486 1
 
4.3%
ValueCountFrequency (%)
195534.148554389 1
4.3%
195214.309334733 1
4.3%
194571.692609865 1
4.3%
193314.124814503 1
4.3%
193151.415804469 1
4.3%
193047.374351272 2
8.7%
193010.861361463 1
4.3%
193006.656439451 1
4.3%
193005.883365365 1
4.3%
193005.507475486 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean449929.5
Minimum448572.25
Maximum451015.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:37:14.165824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448572.25
5-th percentile448874.56
Q1449712.41
median449909.84
Q3450209.6
95-th percentile450668.19
Maximum451015.12
Range2442.8625
Interquartile range (IQR)497.18901

Descriptive statistics

Standard deviation524.59782
Coefficient of variation (CV)0.0011659556
Kurtosis2.0762559
Mean449929.5
Median Absolute Deviation (MAD)241.844
Skewness-0.71463733
Sum9898449
Variance275202.87
MonotonicityNot monotonic
2024-05-11T00:37:14.553071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
450209.598801293 3
 
13.0%
450066.672805096 2
 
8.7%
451015.116442491 1
 
4.3%
449777.875346384 1
 
4.3%
448572.253976483 1
 
4.3%
449658.562563945 1
 
4.3%
448836.610576891 1
 
4.3%
450387.023230304 1
 
4.3%
449927.340237495 1
 
4.3%
450117.167734331 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
448572.253976483 1
4.3%
448836.610576891 1
4.3%
449595.591325692 1
4.3%
449658.562563945 1
4.3%
449677.425648303 1
4.3%
449690.58793819 1
4.3%
449777.875346384 1
4.3%
449820.06518053 1
4.3%
449868.786663154 1
4.3%
449876.349383745 1
4.3%
ValueCountFrequency (%)
451015.116442491 1
 
4.3%
450682.987554634 1
 
4.3%
450387.023230304 1
 
4.3%
450290.746045943 1
 
4.3%
450209.598801293 3
13.0%
450117.167734331 1
 
4.3%
450066.672805096 2
8.7%
449927.340237495 1
 
4.3%
449892.335982526 1
 
4.3%
449876.349383745 1
 
4.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
복합유통게임제공업
20 
<NA>
3 

Length

Max length9
Median length9
Mean length8.3478261
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 20
87.0%
<NA> 3
 
13.0%

Length

2024-05-11T00:37:15.126117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:15.507502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 20
87.0%
na 3
 
13.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
유통관련업
20 
<NA>
3 

Length

Max length5
Median length5
Mean length4.8695652
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 20
87.0%
<NA> 3
 
13.0%

Length

2024-05-11T00:37:15.982404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:16.462867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 20
87.0%
na 3
 
13.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
5
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
5 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T00:37:16.981792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:17.400037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
5 1
 
4.3%
0 1
 
4.3%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing21
Missing (%)91.3%
Memory size316.0 B
2024-05-11T00:37:17.697296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

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

Characters and Unicode

Total characters7
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row주택가주변
2nd row기타
ValueCountFrequency (%)
주택가주변 1
50.0%
기타 1
50.0%
2024-05-11T00:37:18.646555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
28.6%
택 1
14.3%
가 1
14.3%
변 1
14.3%
기 1
14.3%
타 1
14.3%

제작취급품목내용
Categorical

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
7 
식품접객업(휴게음식점)
6 
노래연습장업
4 
휴게음식점
3 
1개의 기기에서 게임,노래,영화감상 제공
1 
Other values (2)
2 

Length

Max length22
Median length18
Mean length8
Min length4

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1개의 기기에서 게임,노래,영화감상 제공
4th row노래연습장업
5th row노래연습장업

Common Values

ValueCountFrequency (%)
<NA> 7
30.4%
식품접객업(휴게음식점) 6
26.1%
노래연습장업 4
17.4%
휴게음식점 3
13.0%
1개의 기기에서 게임,노래,영화감상 제공 1
 
4.3%
기타 유원시설업(제2016-2호) 1
 
4.3%
식품접객업 1
 
4.3%

Length

2024-05-11T00:37:19.274716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:19.815450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7
25.9%
식품접객업(휴게음식점 6
22.2%
노래연습장업 4
14.8%
휴게음식점 3
11.1%
1개의 1
 
3.7%
기기에서 1
 
3.7%
게임,노래,영화감상 1
 
3.7%
제공 1
 
3.7%
기타 1
 
3.7%
유원시설업(제2016-2호 1
 
3.7%

시설면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing4
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean238.97158
Minimum33
Maximum438.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T00:37:20.502950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile80.682
Q1148.225
median217
Q3323.405
95-th percentile437.889
Maximum438.51
Range405.51
Interquartile range (IQR)175.18

Descriptive statistics

Standard deviation120.51261
Coefficient of variation (CV)0.50429682
Kurtosis-0.79814086
Mean238.97158
Median Absolute Deviation (MAD)83.79
Skewness0.29141755
Sum4540.46
Variance14523.289
MonotonicityNot monotonic
2024-05-11T00:37:21.327809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
124.74 1
 
4.3%
194.35 1
 
4.3%
437.82 1
 
4.3%
323.61 1
 
4.3%
323.2 1
 
4.3%
254.37 1
 
4.3%
253.66 1
 
4.3%
161.4 1
 
4.3%
85.98 1
 
4.3%
345.91 1
 
4.3%
Other values (9) 9
39.1%
(Missing) 4
17.4%
ValueCountFrequency (%)
33.0 1
4.3%
85.98 1
4.3%
124.74 1
4.3%
133.21 1
4.3%
145.62 1
4.3%
150.83 1
4.3%
161.4 1
4.3%
194.35 1
4.3%
197.02 1
4.3%
217.0 1
4.3%
ValueCountFrequency (%)
438.51 1
4.3%
437.82 1
4.3%
429.99 1
4.3%
345.91 1
4.3%
323.61 1
4.3%
323.2 1
4.3%
290.24 1
4.3%
254.37 1
4.3%
253.66 1
4.3%
217.0 1
4.3%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
4
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
4 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T00:37:21.909756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:22.378527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
4 1
 
4.3%
0 1
 
4.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
1 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T00:37:23.064489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:23.403203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
1 1
 
4.3%
0 1
 
4.3%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing21
Missing (%)91.3%
Memory size316.0 B
2024-05-11T00:37:23.711948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

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

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row사무실
2nd row근린생활시설
ValueCountFrequency (%)
사무실 1
50.0%
근린생활시설 1
50.0%
2024-05-11T00:37:24.685765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1
11.1%
무 1
11.1%
실 1
11.1%
근 1
11.1%
린 1
11.1%
생 1
11.1%
활 1
11.1%
시 1
11.1%
설 1
11.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T00:37:25.301160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:25.626362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

조명시설조도
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
40
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row<NA>
3rd row40
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
40 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T00:37:25.991987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:26.319859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
40 1
 
4.3%
0 1
 
4.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T00:37:26.684702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:26.979067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T00:37:27.289952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:27.591742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

총게임기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
10
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
10 1
 
4.3%
0 1
 
4.3%

Length

2024-05-11T00:37:27.918312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:28.220637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
10 1
 
4.3%
0 1
 
4.3%

기존게임업외업종명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing22
Missing (%)95.7%
Memory size316.0 B
2024-05-11T00:37:28.506964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters22
Distinct characters18
Distinct categories4 ?
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 (%)100.0%

Sample

1st row1개의 기기에서 게임,노래,영화감상 제공
ValueCountFrequency (%)
1개의 1
25.0%
기기에서 1
25.0%
게임,노래,영화감상 1
25.0%
제공 1
25.0%
2024-05-11T00:37:29.298908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
13.6%
, 2
 
9.1%
기 2
 
9.1%
노 1
 
4.5%
제 1
 
4.5%
상 1
 
4.5%
감 1
 
4.5%
화 1
 
4.5%
영 1
 
4.5%
래 1
 
4.5%
Other values (8) 8
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
72.7%
Space Separator 3
 
13.6%
Other Punctuation 2
 
9.1%
Decimal Number 1
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
 
12.5%
노 1
 
6.2%
제 1
 
6.2%
상 1
 
6.2%
감 1
 
6.2%
화 1
 
6.2%
영 1
 
6.2%
래 1
 
6.2%
개 1
 
6.2%
임 1
 
6.2%
Other values (5) 5
31.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
72.7%
Common 6
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
 
12.5%
노 1
 
6.2%
제 1
 
6.2%
상 1
 
6.2%
감 1
 
6.2%
화 1
 
6.2%
영 1
 
6.2%
래 1
 
6.2%
개 1
 
6.2%
임 1
 
6.2%
Other values (5) 5
31.2%
Common
ValueCountFrequency (%)
3
50.0%
, 2
33.3%
1 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
72.7%
ASCII 6
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
50.0%
, 2
33.3%
1 1
 
16.7%
Hangul
ValueCountFrequency (%)
기 2
 
12.5%
노 1
 
6.2%
제 1
 
6.2%
상 1
 
6.2%
감 1
 
6.2%
화 1
 
6.2%
영 1
 
6.2%
래 1
 
6.2%
개 1
 
6.2%
임 1
 
6.2%
Other values (5) 5
31.2%

제공게임물명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
11 
전체이용가
11 
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.6086957
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
47.8%
전체이용가 11
47.8%
청소년이용불가 1
 
4.3%

Length

2024-05-11T00:37:29.875822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:37:30.307953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
47.8%
전체이용가 11
47.8%
청소년이용불가 1
 
4.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing21
Missing (%)91.3%
Memory size316.0 B
2024-05-11T00:37:30.591061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Characters and Unicode

Total characters9
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row준주거지역
2nd row주거지역
ValueCountFrequency (%)
준주거지역 1
50.0%
주거지역 1
50.0%
2024-05-11T00:37:31.582434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
22.2%
거 2
22.2%
지 2
22.2%
역 2
22.2%
준 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
22.2%
거 2
22.2%
지 2
22.2%
역 2
22.2%
준 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
22.2%
거 2
22.2%
지 2
22.2%
역 2
22.2%
준 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
22.2%
거 2
22.2%
지 2
22.2%
역 2
22.2%
준 1
11.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF224103200300000120030906<NA>3폐업3폐업20070626<NA><NA><NA><NA><NA>121826서울특별시 마포구 망원동 474-3번지서울특별시 마포구 월드컵로 155 (망원동)<NA>메가웹스테이션마포2007-06-26 16:30:23I2018-08-31 23:59:59.0<NA>191528.664364451015.116442복합유통게임제공업유통관련업<NA>주택가주변<NA><NA><NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
13130000CDFF224103200500000120050905<NA>3폐업3폐업20080411<NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 1-3번지 지하1층서울특별시 마포구 서강대길 3 (신수동,지하1층)<NA>알바트로스2010-08-13 15:34:56I2018-08-31 23:59:59.0<NA>194571.69261449690.587938복합유통게임제공업유통관련업<NA><NA><NA>345.91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000CDFF224103200800000120080501<NA>3폐업3폐업20090529<NA><NA><NA>333-1614<NA><NA>서울특별시 마포구 동교동 155-27번지 B12, B13서울특별시 마포구 양화로 183 (동교동,B12, B13)<NA>휴에스 홍대점2009-06-01 11:35:52I2018-08-31 23:59:59.0<NA>193314.124815450682.987555복합유통게임제공업유통관련업<NA><NA>1개의 기기에서 게임,노래,영화감상 제공124.74<NA><NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1개의 기기에서 게임,노래,영화감상 제공<NA><NA><NA><NA><NA>
33130000CDFF224103200900000120090723<NA>3폐업3폐업20180905<NA><NA><NA>070-7629-4668<NA><NA>서울특별시 마포구 서교동 363-17번지 6층서울특별시 마포구 어울마당로 68 (서교동,6층)4041엠플레이 멀티존2018-09-05 09:13:15I2018-08-31 23:59:59.0<NA>192993.338966449876.349384복합유통게임제공업유통관련업<NA><NA>노래연습장업217.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
43130000CDFF224103201000000120100528<NA>3폐업3폐업20211231<NA><NA><NA>02-333-7799<NA><NA>서울특별시 마포구 서교동 355-2 3층서울특별시 마포구 홍익로5길 13, 3층 (서교동)4039멀티플러스 홍대점2021-12-31 14:24:59U2022-01-02 02:40:00.0<NA>193000.440895450209.598801복합유통게임제공업유통관련업<NA><NA>노래연습장업438.51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
53130000CDFF224103201100000120110302<NA>4취소/말소/만료/정지/중지35직권말소20140915<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 400-20번지 지1층 b1-2서울특별시 마포구 독막로5길 32 (서교동,지1층 b1-2)<NA>모프2014-09-15 10:07:24I2018-08-31 23:59:59.0<NA>192750.53196449677.425648복합유통게임제공업유통관련업5기타<NA>33.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>주거지역
63130000CDFF224103201500000120150626<NA>3폐업3폐업20170213<NA><NA><NA>02-543-6501<NA><NA>서울특별시 마포구 서교동 395-18번지 3층서울특별시 마포구 독막로7길 63, 3층 (서교동)4043다트프린스 홍대점2017-02-14 15:20:31I2018-08-31 23:59:59.0<NA>192867.61233449820.065181복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)197.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
73130000CDFF224103201600000120161020<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 363-14 1층서울특별시 마포구 잔다리로 14, 1층 (서교동)4041PLAY2020-08-26 15:04:50U2020-08-28 02:40:00.0<NA>193006.656439449868.786663복합유통게임제공업유통관련업<NA><NA><NA>145.62<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
83130000CDFF224103201600000220161108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 367-38 1~3층서울특별시 마포구 어울마당로 69, 1~3층 (서교동)4042짱오락실2020-12-09 08:24:47U2020-12-11 02:40:00.0<NA>192961.998551449892.335983복합유통게임제공업유통관련업<NA><NA>기타 유원시설업(제2016-2호)429.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
93130000CDFF224103201600000320161129<NA>3폐업3폐업20191230<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 358-51번지 3~4층서울특별시 마포구 와우산로21길 36-10, 3~4층 (서교동)4040#VR2019-12-30 16:42:56U2020-01-01 02:40:00.0<NA>193047.374351450066.672805복합유통게임제공업유통관련업<NA><NA>휴게음식점133.21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
133130000CDFF224103201700000420170330<NA>3폐업3폐업20191230<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 358-51번지 4층서울특별시 마포구 와우산로21길 36-10, 4층 (서교동)4040#VR 2호점2019-12-30 16:43:16U2020-01-01 02:40:00.0<NA>193047.374351450066.672805복합유통게임제공업유통관련업<NA><NA>휴게음식점161.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
143130000CDFF224103201700000520171117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 355-15번지 무광빌딩 201호서울특별시 마포구 양화로16길 15, 2층 201호 (서교동)4039아이쩡피씨방2020-05-29 09:49:14U2020-05-31 02:40:00.0<NA>192919.641105450117.167734복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)253.66<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153130000CDFF224103201700000620171213<NA>3폐업3폐업20201019<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 364-17 서교동 금광빌딩서울특별시 마포구 어울마당로 74, 서교동 금광빌딩 1층 (서교동)4041Enter VR 홍대점2020-10-19 18:21:04U2020-10-21 02:40:00.0<NA>193005.507475449927.340237복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)254.37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163130000CDFF224103201800000120180312<NA>3폐업3폐업20200826<NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 160-5 롯데호텔 L7홍대서울특별시 마포구 양화로 141, 롯데호텔 L7홍대 2층 (동교동)3995(주)히트브이알2020-08-26 15:14:42U2020-08-28 02:40:00.0<NA>193005.883365450387.02323복합유통게임제공업유통관련업<NA><NA>식품접객업323.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
173130000CDFF224103201800000220180423<NA>1영업/정상13영업중<NA><NA><NA><NA>027865639<NA><NA>서울특별시 마포구 도화동 571 나눔빌딩서울특별시 마포구 도화길 43, 나눔빌딩 지하1층 (도화동)4168옵디멈존림피씨카페공덕점 주식회사2023-01-05 17:03:56U2022-12-01 00:07:00.0<NA>195534.148554448836.610577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183130000CDFF224103201900000120190327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 408-22번지서울특별시 마포구 어울마당로 46-1, B1~2층 (서교동)4049Funny Land(퍼니랜드)2019-03-27 09:13:21I2019-03-29 02:20:08.0<NA>192950.23413449658.562564복합유통게임제공업유통관련업<NA><NA>노래연습장업323.61<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
193130000CDFF22410320190000022019-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 515 월드컵주경기장서울특별시 마포구 월드컵로 240, 월드컵주경기장 1층 (성산동)3932짱오락실 상암월드컵점2023-08-22 16:42:02U2022-12-07 22:04:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203130000CDFF224103201900000320190807<NA>3폐업3폐업20201016<NA><NA><NA>027111543<NA><NA>서울특별시 마포구 서교동 355-2서울특별시 마포구 홍익로5길 13 (서교동)4039몬스터파크PC2020-10-16 11:50:20U2020-10-18 02:40:00.0<NA>193000.440895450209.598801복합유통게임제공업유통관련업<NA><NA>휴게음식점437.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213130000CDFF224103202100000120211231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 355-2서울특별시 마포구 홍익로5길 13, 5층 (서교동)4039멀티플러스 홍대점2021-12-31 15:46:39I2022-01-02 00:22:41.0<NA>193000.440895450209.598801복합유통게임제공업유통관련업0<NA>노래연습장업194.3500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
223130000CDFF22410320240000012024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 541 일신빌딩서울특별시 마포구 마포대로 38, 일신빌딩 지하1층 (도화동)4174레벨업 PC CAFE2024-04-02 21:03:29I2023-12-04 00:04:00.0<NA>195214.309335448572.253976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>