Overview

Dataset statistics

Number of variables56
Number of observations366
Missing cells8796
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.8 KiB
Average record size in memory486.4 B

Variable types

Categorical19
Text6
DateTime3
Numeric8
Unsupported20

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16811/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (96.6%)Imbalance
영업상태코드 is highly imbalanced (67.7%)Imbalance
영업상태명 is highly imbalanced (67.7%)Imbalance
상세영업상태코드 is highly imbalanced (75.0%)Imbalance
상세영업상태명 is highly imbalanced (75.0%)Imbalance
데이터갱신구분 is highly imbalanced (89.6%)Imbalance
문화체육업종명 is highly imbalanced (79.1%)Imbalance
문화사업자구분명 is highly imbalanced (95.1%)Imbalance
건물용도명 is highly imbalanced (60.0%)Imbalance
통로너비 is highly imbalanced (95.1%)Imbalance
조명시설조도 is highly imbalanced (95.1%)Imbalance
노래방실수 is highly imbalanced (95.1%)Imbalance
청소년실수 is highly imbalanced (95.1%)Imbalance
총게임기수 is highly imbalanced (94.8%)Imbalance
제공게임물명 is highly imbalanced (81.1%)Imbalance
지역구분명 is highly imbalanced (85.4%)Imbalance
폐업일자 has 11 (3.0%) missing valuesMissing
휴업시작일자 has 366 (100.0%) missing valuesMissing
휴업종료일자 has 366 (100.0%) missing valuesMissing
재개업일자 has 366 (100.0%) missing valuesMissing
전화번호 has 139 (38.0%) missing valuesMissing
소재지면적 has 366 (100.0%) missing valuesMissing
소재지우편번호 has 20 (5.5%) missing valuesMissing
도로명주소 has 44 (12.0%) missing valuesMissing
도로명우편번호 has 351 (95.9%) missing valuesMissing
업태구분명 has 366 (100.0%) missing valuesMissing
좌표정보(X) has 32 (8.7%) missing valuesMissing
좌표정보(Y) has 32 (8.7%) missing valuesMissing
총층수 has 215 (58.7%) missing valuesMissing
제작취급품목내용 has 352 (96.2%) missing valuesMissing
시설면적 has 86 (23.5%) missing valuesMissing
지상층수 has 193 (52.7%) missing valuesMissing
비상계단여부 has 366 (100.0%) missing valuesMissing
비상구여부 has 366 (100.0%) missing valuesMissing
자동환기여부 has 366 (100.0%) missing valuesMissing
청소년실여부 has 366 (100.0%) missing valuesMissing
특수조명여부 has 366 (100.0%) missing valuesMissing
방음시설여부 has 366 (100.0%) missing valuesMissing
비디오재생기명 has 366 (100.0%) missing valuesMissing
조명시설유무 has 366 (100.0%) missing valuesMissing
음향시설여부 has 366 (100.0%) missing valuesMissing
편의시설여부 has 366 (100.0%) missing valuesMissing
소방시설여부 has 366 (100.0%) missing valuesMissing
기존게임업외업종명 has 366 (100.0%) missing valuesMissing
공연장형태구분명 has 366 (100.0%) missing valuesMissing
품목명 has 366 (100.0%) missing valuesMissing
최초등록시점 has 366 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 76 (20.8%) zerosZeros
시설면적 has 187 (51.1%) zerosZeros
지상층수 has 43 (11.7%) zerosZeros

Reproduction

Analysis started2024-04-29 19:09:16.811210
Analysis finished2024-04-29 19:09:17.757991
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3190000
366 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 366
100.0%

Length

2024-04-30T04:09:17.841910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:17.918888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 366
100.0%

관리번호
Text

UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-30T04:09:18.061699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7320
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

Unique366 ?
Unique (%)100.0%

Sample

1st rowCDFF2241011985000001
2nd rowCDFF2241011985000002
3rd rowCDFF2241011985000003
4th rowCDFF2241011985000004
5th rowCDFF2241011985000006
ValueCountFrequency (%)
cdff2241011985000001 1
 
0.3%
cdff2241012002000002 1
 
0.3%
cdff2241012001000064 1
 
0.3%
cdff2241012001000063 1
 
0.3%
cdff2241012001000062 1
 
0.3%
cdff2241012001000061 1
 
0.3%
cdff2241012001000060 1
 
0.3%
cdff2241012001000059 1
 
0.3%
cdff2241012001000058 1
 
0.3%
cdff2241012001000057 1
 
0.3%
Other values (356) 356
97.3%
2024-04-30T04:09:18.353528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2509
34.3%
1 1100
15.0%
2 1076
14.7%
F 732
 
10.0%
4 451
 
6.2%
C 366
 
5.0%
D 366
 
5.0%
9 310
 
4.2%
3 113
 
1.5%
8 90
 
1.2%
Other values (3) 207
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5856
80.0%
Uppercase Letter 1464
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2509
42.8%
1 1100
18.8%
2 1076
18.4%
4 451
 
7.7%
9 310
 
5.3%
3 113
 
1.9%
8 90
 
1.5%
5 75
 
1.3%
6 73
 
1.2%
7 59
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 732
50.0%
C 366
25.0%
D 366
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5856
80.0%
Latin 1464
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2509
42.8%
1 1100
18.8%
2 1076
18.4%
4 451
 
7.7%
9 310
 
5.3%
3 113
 
1.9%
8 90
 
1.5%
5 75
 
1.3%
6 73
 
1.2%
7 59
 
1.0%
Latin
ValueCountFrequency (%)
F 732
50.0%
C 366
25.0%
D 366
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2509
34.3%
1 1100
15.0%
2 1076
14.7%
F 732
 
10.0%
4 451
 
6.2%
C 366
 
5.0%
D 366
 
5.0%
9 310
 
4.2%
3 113
 
1.5%
8 90
 
1.2%
Other values (3) 207
 
2.8%

인허가일자
Date

Distinct302
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1985-03-30 00:00:00
Maximum2023-12-20 00:00:00
2024-04-30T04:09:18.493290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:18.627791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
20070518
 
1
20071008
 
1

Length

Max length8
Median length4
Mean length4.0218579
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.5%
20070518 1
 
0.3%
20071008 1
 
0.3%

Length

2024-04-30T04:09:18.735565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:18.829139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.5%
20070518 1
 
0.3%
20071008 1
 
0.3%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
331 
4
 
30
1
 
5

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 (%)
3 331
90.4%
4 30
 
8.2%
1 5
 
1.4%

Length

2024-04-30T04:09:18.923128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:19.010791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 331
90.4%
4 30
 
8.2%
1 5
 
1.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
331 
취소/말소/만료/정지/중지
 
30
영업/정상
 
5

Length

Max length14
Median length2
Mean length3.0245902
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 331
90.4%
취소/말소/만료/정지/중지 30
 
8.2%
영업/정상 5
 
1.4%

Length

2024-04-30T04:09:19.098556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:19.184469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
90.4%
취소/말소/만료/정지/중지 30
 
8.2%
영업/정상 5
 
1.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
331 
35
 
24
30
 
5
13
 
5
31
 
1

Length

Max length2
Median length1
Mean length1.0956284
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 331
90.4%
35 24
 
6.6%
30 5
 
1.4%
13 5
 
1.4%
31 1
 
0.3%

Length

2024-04-30T04:09:19.282704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:19.385906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 331
90.4%
35 24
 
6.6%
30 5
 
1.4%
13 5
 
1.4%
31 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
331 
직권말소
 
24
허가취소
 
5
영업중
 
5
등록취소
 
1

Length

Max length4
Median length2
Mean length2.1775956
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 331
90.4%
직권말소 24
 
6.6%
허가취소 5
 
1.4%
영업중 5
 
1.4%
등록취소 1
 
0.3%

Length

2024-04-30T04:09:19.497464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:19.602477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 331
90.4%
직권말소 24
 
6.6%
허가취소 5
 
1.4%
영업중 5
 
1.4%
등록취소 1
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)67.6%
Missing11
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean20034030
Minimum19940124
Maximum20211215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:19.717136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940124
5-th percentile19967442
Q120010319
median20030324
Q320061021
95-th percentile20080801
Maximum20211215
Range271091
Interquartile range (IQR)50702

Descriptive statistics

Standard deviation44033.12
Coefficient of variation (CV)0.0021979162
Kurtosis1.965695
Mean20034030
Median Absolute Deviation (MAD)29294
Skewness0.75284069
Sum7.1120807 × 109
Variance1.9389156 × 109
MonotonicityNot monotonic
2024-04-30T04:09:19.845990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050830 35
 
9.6%
20080801 24
 
6.6%
20070824 8
 
2.2%
20011228 5
 
1.4%
20020724 5
 
1.4%
20010326 4
 
1.1%
20050316 4
 
1.1%
20010724 3
 
0.8%
20021129 3
 
0.8%
19991103 3
 
0.8%
Other values (230) 261
71.3%
(Missing) 11
 
3.0%
ValueCountFrequency (%)
19940124 1
0.3%
19940409 1
0.3%
19941114 1
0.3%
19950329 1
0.3%
19950407 1
0.3%
19951124 1
0.3%
19960205 1
0.3%
19960226 1
0.3%
19960416 1
0.3%
19960418 1
0.3%
ValueCountFrequency (%)
20211215 1
0.3%
20210910 1
0.3%
20210416 1
0.3%
20200219 1
0.3%
20170605 1
0.3%
20160921 1
0.3%
20140703 1
0.3%
20140407 1
0.3%
20140401 1
0.3%
20140221 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct214
Distinct (%)94.3%
Missing139
Missing (%)38.0%
Memory size3.0 KiB
2024-04-30T04:09:20.102229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length7.7577093
Min length2

Characters and Unicode

Total characters1761
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

Unique208 ?
Unique (%)91.6%

Sample

1st row834-2223
2nd row842-2174
3rd row815-5686
4th row815-8006
5th row593-5587
ValueCountFrequency (%)
0 6
 
2.6%
0-0000 5
 
2.2%
826-8170 2
 
0.9%
591-4562 2
 
0.9%
593-8661 2
 
0.9%
585-5486 2
 
0.9%
387-2293 1
 
0.4%
842-9850 1
 
0.4%
522-9868 1
 
0.4%
588-0211 1
 
0.4%
Other values (204) 204
89.9%
2024-04-30T04:09:20.466366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 243
13.8%
8 221
12.5%
5 193
11.0%
2 178
10.1%
3 165
9.4%
1 160
9.1%
0 137
7.8%
6 128
7.3%
7 124
7.0%
9 116
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1518
86.2%
Dash Punctuation 243
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 221
14.6%
5 193
12.7%
2 178
11.7%
3 165
10.9%
1 160
10.5%
0 137
9.0%
6 128
8.4%
7 124
8.2%
9 116
7.6%
4 96
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 243
13.8%
8 221
12.5%
5 193
11.0%
2 178
10.1%
3 165
9.4%
1 160
9.1%
0 137
7.8%
6 128
7.3%
7 124
7.0%
9 116
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 243
13.8%
8 221
12.5%
5 193
11.0%
2 178
10.1%
3 165
9.4%
1 160
9.1%
0 137
7.8%
6 128
7.3%
7 124
7.0%
9 116
6.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)15.3%
Missing20
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean156747.66
Minimum156010
Maximum156882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:20.622295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156010
5-th percentile156031
Q1156801.5
median156818.5
Q3156839
95-th percentile156860
Maximum156882
Range872
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation234.31178
Coefficient of variation (CV)0.0014948343
Kurtosis5.0361734
Mean156747.66
Median Absolute Deviation (MAD)17.5
Skewness-2.630207
Sum54234691
Variance54902.01
MonotonicityNot monotonic
2024-04-30T04:09:20.732491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
156816 46
 
12.6%
156801 27
 
7.4%
156800 24
 
6.6%
156821 15
 
4.1%
156847 13
 
3.6%
156827 12
 
3.3%
156839 12
 
3.3%
156844 11
 
3.0%
156030 11
 
3.0%
156826 11
 
3.0%
Other values (43) 164
44.8%
(Missing) 20
 
5.5%
ValueCountFrequency (%)
156010 1
 
0.3%
156030 11
3.0%
156031 7
 
1.9%
156060 4
 
1.1%
156080 2
 
0.5%
156090 10
 
2.7%
156725 1
 
0.3%
156800 24
6.6%
156801 27
7.4%
156803 2
 
0.5%
ValueCountFrequency (%)
156882 1
 
0.3%
156881 1
 
0.3%
156877 2
 
0.5%
156863 1
 
0.3%
156861 9
2.5%
156860 7
1.9%
156859 3
 
0.8%
156855 2
 
0.5%
156854 1
 
0.3%
156853 10
2.7%

지번주소
Text

Distinct329
Distinct (%)90.1%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2024-04-30T04:09:21.007178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length24.276712
Min length19

Characters and Unicode

Total characters8861
Distinct characters70
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)81.9%

Sample

1st row서울특별시 동작구 신대방동 498-9번지
2nd row서울특별시 동작구 신대방동 607-43번지
3rd row서울특별시 동작구 상도1동 393-0번지
4th row서울특별시 동작구 상도1동 441-1번지
5th row서울특별시 동작구 사당동 162-15번지
ValueCountFrequency (%)
서울특별시 365
23.1%
동작구 365
23.1%
사당동 134
 
8.5%
상도동 71
 
4.5%
노량진동 68
 
4.3%
신대방동 37
 
2.3%
흑석동 22
 
1.4%
대방동 14
 
0.9%
상도1동 13
 
0.8%
1층 12
 
0.8%
Other values (360) 482
30.4%
2024-04-30T04:09:21.410290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1582
17.9%
동 736
 
8.3%
1 439
 
5.0%
지 392
 
4.4%
- 368
 
4.2%
작 367
 
4.1%
구 365
 
4.1%
서 365
 
4.1%
시 365
 
4.1%
별 365
 
4.1%
Other values (60) 3517
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5025
56.7%
Decimal Number 1853
 
20.9%
Space Separator 1582
 
17.9%
Dash Punctuation 368
 
4.2%
Other Punctuation 17
 
0.2%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 736
14.6%
지 392
 
7.8%
작 367
 
7.3%
구 365
 
7.3%
서 365
 
7.3%
시 365
 
7.3%
별 365
 
7.3%
특 365
 
7.3%
울 365
 
7.3%
번 358
 
7.1%
Other values (40) 982
19.5%
Decimal Number
ValueCountFrequency (%)
1 439
23.7%
3 262
14.1%
2 251
13.5%
4 183
9.9%
0 142
 
7.7%
6 129
 
7.0%
5 118
 
6.4%
8 111
 
6.0%
9 109
 
5.9%
7 109
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
B 1
33.3%
F 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 16
94.1%
/ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1582
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5025
56.7%
Common 3833
43.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 736
14.6%
지 392
 
7.8%
작 367
 
7.3%
구 365
 
7.3%
서 365
 
7.3%
시 365
 
7.3%
별 365
 
7.3%
특 365
 
7.3%
울 365
 
7.3%
번 358
 
7.1%
Other values (40) 982
19.5%
Common
ValueCountFrequency (%)
1582
41.3%
1 439
 
11.5%
- 368
 
9.6%
3 262
 
6.8%
2 251
 
6.5%
4 183
 
4.8%
0 142
 
3.7%
6 129
 
3.4%
5 118
 
3.1%
8 111
 
2.9%
Other values (7) 248
 
6.5%
Latin
ValueCountFrequency (%)
D 1
33.3%
B 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5025
56.7%
ASCII 3836
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1582
41.2%
1 439
 
11.4%
- 368
 
9.6%
3 262
 
6.8%
2 251
 
6.5%
4 183
 
4.8%
0 142
 
3.7%
6 129
 
3.4%
5 118
 
3.1%
8 111
 
2.9%
Other values (10) 251
 
6.5%
Hangul
ValueCountFrequency (%)
동 736
14.6%
지 392
 
7.8%
작 367
 
7.3%
구 365
 
7.3%
서 365
 
7.3%
시 365
 
7.3%
별 365
 
7.3%
특 365
 
7.3%
울 365
 
7.3%
번 358
 
7.1%
Other values (40) 982
19.5%

도로명주소
Text

MISSING 

Distinct287
Distinct (%)89.1%
Missing44
Missing (%)12.0%
Memory size3.0 KiB
2024-04-30T04:09:21.626992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46.5
Mean length27.313665
Min length22

Characters and Unicode

Total characters8795
Distinct characters93
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)79.8%

Sample

1st row서울특별시 동작구 여의대방로 86-1 (신대방동)
2nd row서울특별시 동작구 시흥대로 644-1 (신대방동)
3rd row서울특별시 동작구 상도로 299 (상도1동)
4th row서울특별시 동작구 상도로47길 79 (상도1동)
5th row서울특별시 동작구 사당로27길 78 (사당동)
ValueCountFrequency (%)
서울특별시 322
19.5%
동작구 322
19.5%
사당동 100
 
6.0%
노량진동 51
 
3.1%
상도동 43
 
2.6%
상도로 24
 
1.5%
신대방동 24
 
1.5%
노량진로 24
 
1.5%
흑석동 19
 
1.1%
동작대로 19
 
1.1%
Other values (308) 705
42.6%
2024-04-30T04:09:21.962601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1635
18.6%
동 723
 
8.2%
작 396
 
4.5%
) 328
 
3.7%
( 328
 
3.7%
서 327
 
3.7%
시 325
 
3.7%
특 322
 
3.7%
별 322
 
3.7%
구 322
 
3.7%
Other values (83) 3767
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5177
58.9%
Space Separator 1635
 
18.6%
Decimal Number 1194
 
13.6%
Close Punctuation 328
 
3.7%
Open Punctuation 328
 
3.7%
Other Punctuation 89
 
1.0%
Dash Punctuation 42
 
0.5%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 723
14.0%
작 396
 
7.6%
서 327
 
6.3%
시 325
 
6.3%
특 322
 
6.2%
별 322
 
6.2%
구 322
 
6.2%
울 322
 
6.2%
로 303
 
5.9%
사 185
 
3.6%
Other values (66) 1630
31.5%
Decimal Number
ValueCountFrequency (%)
1 321
26.9%
2 233
19.5%
6 86
 
7.2%
7 86
 
7.2%
3 85
 
7.1%
4 84
 
7.0%
8 83
 
7.0%
0 79
 
6.6%
9 72
 
6.0%
5 65
 
5.4%
Space Separator
ValueCountFrequency (%)
1635
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 328
100.0%
Other Punctuation
ValueCountFrequency (%)
, 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5177
58.9%
Common 3617
41.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 723
14.0%
작 396
 
7.6%
서 327
 
6.3%
시 325
 
6.3%
특 322
 
6.2%
별 322
 
6.2%
구 322
 
6.2%
울 322
 
6.2%
로 303
 
5.9%
사 185
 
3.6%
Other values (66) 1630
31.5%
Common
ValueCountFrequency (%)
1635
45.2%
) 328
 
9.1%
( 328
 
9.1%
1 321
 
8.9%
2 233
 
6.4%
, 89
 
2.5%
6 86
 
2.4%
7 86
 
2.4%
3 85
 
2.4%
4 84
 
2.3%
Other values (6) 342
 
9.5%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5177
58.9%
ASCII 3618
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1635
45.2%
) 328
 
9.1%
( 328
 
9.1%
1 321
 
8.9%
2 233
 
6.4%
, 89
 
2.5%
6 86
 
2.4%
7 86
 
2.4%
3 85
 
2.3%
4 84
 
2.3%
Other values (7) 343
 
9.5%
Hangul
ValueCountFrequency (%)
동 723
14.0%
작 396
 
7.6%
서 327
 
6.3%
시 325
 
6.3%
특 322
 
6.2%
별 322
 
6.2%
구 322
 
6.2%
울 322
 
6.2%
로 303
 
5.9%
사 185
 
3.6%
Other values (66) 1630
31.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)46.7%
Missing351
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean46861.467
Minimum6902
Maximum156827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:22.061506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6902
5-th percentile6976.2
Q17008
median7015
Q381566.5
95-th percentile156819.3
Maximum156827
Range149925
Interquartile range (IQR)74558.5

Descriptive statistics

Standard deviation68408.323
Coefficient of variation (CV)1.459799
Kurtosis-0.73412323
Mean46861.467
Median Absolute Deviation (MAD)26
Skewness1.1763838
Sum702922
Variance4.6796986 × 109
MonotonicityNot monotonic
2024-04-30T04:09:22.154202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7008 5
 
1.4%
7041 3
 
0.8%
156092 2
 
0.5%
7015 2
 
0.5%
156827 1
 
0.3%
156816 1
 
0.3%
6902 1
 
0.3%
(Missing) 351
95.9%
ValueCountFrequency (%)
6902 1
 
0.3%
7008 5
1.4%
7015 2
 
0.5%
7041 3
0.8%
156092 2
 
0.5%
156816 1
 
0.3%
156827 1
 
0.3%
ValueCountFrequency (%)
156827 1
 
0.3%
156816 1
 
0.3%
156092 2
 
0.5%
7041 3
0.8%
7015 2
 
0.5%
7008 5
1.4%
6902 1
 
0.3%

사업장명
Text

Distinct324
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-30T04:09:22.422624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.5054645
Min length1

Characters and Unicode

Total characters2015
Distinct characters293
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

Unique299 ?
Unique (%)81.7%

Sample

1st row진성
2nd row엄지오락실
3rd row두뇌오락실
4th row뽕뽕
5th row4차원
ValueCountFrequency (%)
게임랜드 19
 
4.4%
게임장 11
 
2.5%
인형나라 9
 
2.1%
오락실 8
 
1.8%
우주 4
 
0.9%
로얄게임장 4
 
0.9%
드림게임랜드 3
 
0.7%
이수게임랜드 3
 
0.7%
중앙 3
 
0.7%
테마게임랜드 3
 
0.7%
Other values (338) 369
84.6%
2024-04-30T04:09:23.080798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 175
 
8.7%
임 174
 
8.6%
드 123
 
6.1%
랜 96
 
4.8%
70
 
3.5%
장 67
 
3.3%
스 58
 
2.9%
오 39
 
1.9%
실 38
 
1.9%
락 36
 
1.8%
Other values (283) 1139
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1864
92.5%
Space Separator 70
 
3.5%
Uppercase Letter 37
 
1.8%
Decimal Number 29
 
1.4%
Other Punctuation 9
 
0.4%
Dash Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 175
 
9.4%
임 174
 
9.3%
드 123
 
6.6%
랜 96
 
5.2%
장 67
 
3.6%
스 58
 
3.1%
오 39
 
2.1%
실 38
 
2.0%
락 36
 
1.9%
이 33
 
1.8%
Other values (253) 1025
55.0%
Uppercase Letter
ValueCountFrequency (%)
L 5
13.5%
A 5
13.5%
D 4
10.8%
E 4
10.8%
C 2
 
5.4%
N 2
 
5.4%
G 2
 
5.4%
U 2
 
5.4%
K 1
 
2.7%
Y 1
 
2.7%
Other values (9) 9
24.3%
Decimal Number
ValueCountFrequency (%)
2 13
44.8%
0 4
 
13.8%
1 4
 
13.8%
4 3
 
10.3%
5 3
 
10.3%
7 2
 
6.9%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1864
92.5%
Common 114
 
5.7%
Latin 37
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 175
 
9.4%
임 174
 
9.3%
드 123
 
6.6%
랜 96
 
5.2%
장 67
 
3.6%
스 58
 
3.1%
오 39
 
2.1%
실 38
 
2.0%
락 36
 
1.9%
이 33
 
1.8%
Other values (253) 1025
55.0%
Latin
ValueCountFrequency (%)
L 5
13.5%
A 5
13.5%
D 4
10.8%
E 4
10.8%
C 2
 
5.4%
N 2
 
5.4%
G 2
 
5.4%
U 2
 
5.4%
K 1
 
2.7%
Y 1
 
2.7%
Other values (9) 9
24.3%
Common
ValueCountFrequency (%)
70
61.4%
2 13
 
11.4%
. 9
 
7.9%
0 4
 
3.5%
1 4
 
3.5%
4 3
 
2.6%
5 3
 
2.6%
- 2
 
1.8%
) 2
 
1.8%
7 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1864
92.5%
ASCII 151
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 175
 
9.4%
임 174
 
9.3%
드 123
 
6.6%
랜 96
 
5.2%
장 67
 
3.6%
스 58
 
3.1%
오 39
 
2.1%
실 38
 
2.0%
락 36
 
1.9%
이 33
 
1.8%
Other values (253) 1025
55.0%
ASCII
ValueCountFrequency (%)
70
46.4%
2 13
 
8.6%
. 9
 
6.0%
L 5
 
3.3%
A 5
 
3.3%
0 4
 
2.6%
D 4
 
2.6%
1 4
 
2.6%
E 4
 
2.6%
4 3
 
2.0%
Other values (20) 30
19.9%

최종수정일자
Date

Distinct185
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2003-04-18 11:55:44
Maximum2023-12-20 17:18:56
2024-04-30T04:09:23.371850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:23.636325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
361 
U
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 361
98.6%
U 5
 
1.4%

Length

2024-04-30T04:09:23.802603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:23.901265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 361
98.6%
u 5
 
1.4%

데이터갱신일자
Date

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-06 23:04:00
2024-04-30T04:09:23.998411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:09:24.116710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct267
Distinct (%)79.9%
Missing32
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean195872.79
Minimum191718.68
Maximum198332.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:24.232912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191718.68
5-th percentile193161.39
Q1194287.35
median195429.11
Q3198071.14
95-th percentile198293.5
Maximum198332.59
Range6613.9116
Interquartile range (IQR)3783.7935

Descriptive statistics

Standard deviation1953.1666
Coefficient of variation (CV)0.0099716076
Kurtosis-1.3022242
Mean195872.79
Median Absolute Deviation (MAD)1769.3806
Skewness-0.11247768
Sum65421511
Variance3814859.7
MonotonicityNot monotonic
2024-04-30T04:09:24.422772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198320.630192629 5
 
1.4%
194450.938572637 5
 
1.4%
198293.498296993 5
 
1.4%
193738.814700025 4
 
1.1%
193712.567320342 4
 
1.1%
198332.497687081 4
 
1.1%
196486.167083289 3
 
0.8%
196425.05447031 3
 
0.8%
194821.40635318 3
 
0.8%
193218.36400997 3
 
0.8%
Other values (257) 295
80.6%
(Missing) 32
 
8.7%
ValueCountFrequency (%)
191718.67504286 1
0.3%
191730.68123915 1
0.3%
191744.078521535 2
0.5%
191748.253117587 1
0.3%
191803.524952767 1
0.3%
191828.66219832 1
0.3%
191856.280274493 1
0.3%
191946.135275517 1
0.3%
191953.183822511 1
0.3%
192206.207535906 1
0.3%
ValueCountFrequency (%)
198332.586618402 2
 
0.5%
198332.497687081 4
1.1%
198325.779257298 1
 
0.3%
198320.791404486 1
 
0.3%
198320.630192629 5
1.4%
198319.043790859 1
 
0.3%
198300.188686068 1
 
0.3%
198293.498296993 5
1.4%
198291.077617257 1
 
0.3%
198284.656804106 2
 
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct267
Distinct (%)79.9%
Missing32
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean443809.33
Minimum441543.54
Maximum445755.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:24.576469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441543.54
5-th percentile441839.88
Q1442729.29
median443981.95
Q3445040.65
95-th percentile445665.83
Maximum445755.68
Range4212.1457
Interquartile range (IQR)2311.3577

Descriptive statistics

Standard deviation1272.295
Coefficient of variation (CV)0.0028667603
Kurtosis-1.3114452
Mean443809.33
Median Absolute Deviation (MAD)1175.7453
Skewness0.038201724
Sum1.4823232 × 108
Variance1618734.5
MonotonicityNot monotonic
2024-04-30T04:09:24.730981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442660.152581982 5
 
1.4%
445665.826651026 5
 
1.4%
442793.615509761 5
 
1.4%
444148.087830918 4
 
1.1%
444141.942093412 4
 
1.1%
442863.050171779 4
 
1.1%
445145.347052709 3
 
0.8%
445064.748182788 3
 
0.8%
445740.716082081 3
 
0.8%
443239.581054145 3
 
0.8%
Other values (257) 295
80.6%
(Missing) 32
 
8.7%
ValueCountFrequency (%)
441543.537610587 1
0.3%
441616.77006268 1
0.3%
441633.951360171 1
0.3%
441634.265956603 1
0.3%
441639.569918636 1
0.3%
441657.307565495 1
0.3%
441657.524669965 1
0.3%
441661.732003124 2
0.5%
441690.921865632 1
0.3%
441694.294131762 1
0.3%
ValueCountFrequency (%)
445755.68326333 1
 
0.3%
445752.440199471 1
 
0.3%
445740.716082081 3
0.8%
445704.326113132 1
 
0.3%
445700.034625184 1
 
0.3%
445695.614065476 2
0.5%
445693.456564059 1
 
0.3%
445691.30421674 1
 
0.3%
445687.022960583 1
 
0.3%
445686.8730425 1
 
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
게임제공업
346 
일반게임제공업
 
18
<NA>
 
2

Length

Max length7
Median length5
Mean length5.0928962
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임제공업 346
94.5%
일반게임제공업 18
 
4.9%
<NA> 2
 
0.5%

Length

2024-04-30T04:09:24.846161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:24.935636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임제공업 346
94.5%
일반게임제공업 18
 
4.9%
na 2
 
0.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
유통관련업
364 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9945355
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 364
99.5%
<NA> 2
 
0.5%

Length

2024-04-30T04:09:25.041848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:25.137336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 364
99.5%
na 2
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)7.3%
Missing215
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean2.1721854
Minimum0
Maximum10
Zeros76
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:25.241209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5000309
Coefficient of variation (CV)1.1509289
Kurtosis-0.23877372
Mean2.1721854
Median Absolute Deviation (MAD)0
Skewness0.7951191
Sum328
Variance6.2501545
MonotonicityNot monotonic
2024-04-30T04:09:25.348028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 76
 
20.8%
4 22
 
6.0%
3 20
 
5.5%
5 14
 
3.8%
6 5
 
1.4%
7 5
 
1.4%
2 4
 
1.1%
9 2
 
0.5%
1 1
 
0.3%
10 1
 
0.3%
(Missing) 215
58.7%
ValueCountFrequency (%)
0 76
20.8%
1 1
 
0.3%
2 4
 
1.1%
3 20
 
5.5%
4 22
 
6.0%
5 14
 
3.8%
6 5
 
1.4%
7 5
 
1.4%
8 1
 
0.3%
9 2
 
0.5%
ValueCountFrequency (%)
10 1
 
0.3%
9 2
 
0.5%
8 1
 
0.3%
7 5
 
1.4%
6 5
 
1.4%
5 14
3.8%
4 22
6.0%
3 20
5.5%
2 4
 
1.1%
1 1
 
0.3%

주변환경명
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
기타
193 
<NA>
123 
주택가주변
44 
유흥업소밀집지역
 
4
아파트지역
 
2

Length

Max length8
Median length2
Mean length3.1147541
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 193
52.7%
<NA> 123
33.6%
주택가주변 44
 
12.0%
유흥업소밀집지역 4
 
1.1%
아파트지역 2
 
0.5%

Length

2024-04-30T04:09:25.455298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:25.547166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 193
52.7%
na 123
33.6%
주택가주변 44
 
12.0%
유흥업소밀집지역 4
 
1.1%
아파트지역 2
 
0.5%

제작취급품목내용
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing352
Missing (%)96.2%
Memory size3.0 KiB
2024-04-30T04:09:25.723502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length16.5
Mean length13.428571
Min length3

Characters and Unicode

Total characters188
Distinct characters83
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

Unique14 ?
Unique (%)100.0%

Sample

1st row드림 캐슬
2nd row사신도
3rd row황금용포카
4th row흑룡성
5th row파일럿스토리
ValueCountFrequency (%)
흑룡성 2
 
6.5%
불타는 2
 
6.5%
드림 1
 
3.2%
자뻑포카(50 1
 
3.2%
천일몽 1
 
3.2%
강태공 1
 
3.2%
씨야포커2 1
 
3.2%
용2 1
 
3.2%
구름위에 1
 
3.2%
불새 1
 
3.2%
Other values (19) 19
61.3%
2024-04-30T04:09:26.253900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
9.0%
, 12
 
6.4%
( 9
 
4.8%
) 9
 
4.8%
2 8
 
4.3%
포 7
 
3.7%
불 6
 
3.2%
0 6
 
3.2%
커 5
 
2.7%
성 5
 
2.7%
Other values (73) 104
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
60.1%
Decimal Number 20
 
10.6%
Space Separator 17
 
9.0%
Other Punctuation 12
 
6.4%
Open Punctuation 9
 
4.8%
Close Punctuation 9
 
4.8%
Lowercase Letter 6
 
3.2%
Uppercase Letter 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 7
 
6.2%
불 6
 
5.3%
커 5
 
4.4%
성 5
 
4.4%
타 4
 
3.5%
드 3
 
2.7%
금 3
 
2.7%
황 3
 
2.7%
는 3
 
2.7%
새 3
 
2.7%
Other values (56) 71
62.8%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
0 6
30.0%
3 2
 
10.0%
5 2
 
10.0%
1 1
 
5.0%
4 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
w 1
16.7%
c 1
16.7%
a 1
16.7%
n 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
60.1%
Common 67
35.6%
Latin 8
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 7
 
6.2%
불 6
 
5.3%
커 5
 
4.4%
성 5
 
4.4%
타 4
 
3.5%
드 3
 
2.7%
금 3
 
2.7%
황 3
 
2.7%
는 3
 
2.7%
새 3
 
2.7%
Other values (56) 71
62.8%
Common
ValueCountFrequency (%)
17
25.4%
, 12
17.9%
( 9
13.4%
) 9
13.4%
2 8
11.9%
0 6
 
9.0%
3 2
 
3.0%
5 2
 
3.0%
1 1
 
1.5%
4 1
 
1.5%
Latin
ValueCountFrequency (%)
e 2
25.0%
N 1
12.5%
w 1
12.5%
O 1
12.5%
c 1
12.5%
a 1
12.5%
n 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
60.1%
ASCII 75
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
22.7%
, 12
16.0%
( 9
12.0%
) 9
12.0%
2 8
10.7%
0 6
 
8.0%
3 2
 
2.7%
5 2
 
2.7%
e 2
 
2.7%
1 1
 
1.3%
Other values (7) 7
9.3%
Hangul
ValueCountFrequency (%)
포 7
 
6.2%
불 6
 
5.3%
커 5
 
4.4%
성 5
 
4.4%
타 4
 
3.5%
드 3
 
2.7%
금 3
 
2.7%
황 3
 
2.7%
는 3
 
2.7%
새 3
 
2.7%
Other values (56) 71
62.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct87
Distinct (%)31.1%
Missing86
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean52.83925
Minimum0
Maximum840.88
Zeros187
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:26.387994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q396.04
95-th percentile218.861
Maximum840.88
Range840.88
Interquartile range (IQR)96.04

Descriptive statistics

Standard deviation97.57937
Coefficient of variation (CV)1.8467213
Kurtosis16.129353
Mean52.83925
Median Absolute Deviation (MAD)0
Skewness3.0956907
Sum14794.99
Variance9521.7334
MonotonicityNot monotonic
2024-04-30T04:09:26.504379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 187
51.1%
150.37 3
 
0.8%
202.8 2
 
0.5%
231.8 2
 
0.5%
96.16 2
 
0.5%
96.79 2
 
0.5%
169.38 2
 
0.5%
840.88 1
 
0.3%
128.17 1
 
0.3%
136.2 1
 
0.3%
Other values (77) 77
21.0%
(Missing) 86
23.5%
ValueCountFrequency (%)
0.0 187
51.1%
30.6 1
 
0.3%
32.14 1
 
0.3%
49.0 1
 
0.3%
54.0 1
 
0.3%
55.97 1
 
0.3%
57.6 1
 
0.3%
59.4 1
 
0.3%
65.0 1
 
0.3%
71.97 1
 
0.3%
ValueCountFrequency (%)
840.88 1
0.3%
407.83 1
0.3%
381.97 1
0.3%
354.13 1
0.3%
351.76 1
0.3%
345.13 1
0.3%
333.3 1
0.3%
321.27 1
0.3%
320.06 1
0.3%
315.4 1
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)5.8%
Missing193
Missing (%)52.7%
Infinite0
Infinite (%)0.0%
Mean2.1213873
Minimum0
Maximum9
Zeros43
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-30T04:09:26.608946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0409341
Coefficient of variation (CV)0.9620752
Kurtosis0.54311782
Mean2.1213873
Median Absolute Deviation (MAD)1
Skewness1.0252275
Sum367
Variance4.165412
MonotonicityNot monotonic
2024-04-30T04:09:26.707091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 45
 
12.3%
0 43
 
11.7%
3 29
 
7.9%
2 18
 
4.9%
4 17
 
4.6%
5 8
 
2.2%
7 8
 
2.2%
6 3
 
0.8%
9 1
 
0.3%
8 1
 
0.3%
(Missing) 193
52.7%
ValueCountFrequency (%)
0 43
11.7%
1 45
12.3%
2 18
 
4.9%
3 29
7.9%
4 17
 
4.6%
5 8
 
2.2%
6 3
 
0.8%
7 8
 
2.2%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
9 1
 
0.3%
8 1
 
0.3%
7 8
 
2.2%
6 3
 
0.8%
5 8
 
2.2%
4 17
 
4.6%
3 29
7.9%
2 18
 
4.9%
1 45
12.3%
0 43
11.7%

지하층수
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
210 
1
83 
0
67 
2
 
4
7
 
1

Length

Max length4
Median length4
Mean length2.7213115
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
57.4%
1 83
 
22.7%
0 67
 
18.3%
2 4
 
1.1%
7 1
 
0.3%
3 1
 
0.3%

Length

2024-04-30T04:09:26.839321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:26.956537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
57.4%
1 83
 
22.7%
0 67
 
18.3%
2 4
 
1.1%
7 1
 
0.3%
3 1
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
근린생활시설
268 
<NA>
86 
판매시설
 
6
기타
 
4
사무실
 
1

Length

Max length6
Median length6
Mean length5.4371585
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 268
73.2%
<NA> 86
 
23.5%
판매시설 6
 
1.6%
기타 4
 
1.1%
사무실 1
 
0.3%
유기장 1
 
0.3%

Length

2024-04-30T04:09:27.103797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:27.202708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 268
73.2%
na 86
 
23.5%
판매시설 6
 
1.6%
기타 4
 
1.1%
사무실 1
 
0.3%
유기장 1
 
0.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
2

Length

Max length4
Median length4
Mean length3.9836066
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> 364
99.5%
0 2
 
0.5%

Length

2024-04-30T04:09:27.330404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:27.416975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.5%
0 2
 
0.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
2

Length

Max length4
Median length4
Mean length3.9836066
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> 364
99.5%
0 2
 
0.5%

Length

2024-04-30T04:09:27.517204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:27.609211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.5%
0 2
 
0.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
2

Length

Max length4
Median length4
Mean length3.9836066
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> 364
99.5%
0 2
 
0.5%

Length

2024-04-30T04:09:27.707682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:27.826308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.5%
0 2
 
0.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
2

Length

Max length4
Median length4
Mean length3.9836066
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> 364
99.5%
0 2
 
0.5%

Length

2024-04-30T04:09:27.940925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:28.026372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.5%
0 2
 
0.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
362 
0
 
2
67
 
1
124
 
1

Length

Max length4
Median length4
Mean length3.9754098
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 362
98.9%
0 2
 
0.5%
67 1
 
0.3%
124 1
 
0.3%

Length

2024-04-30T04:09:28.122220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:28.209469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 362
98.9%
0 2
 
0.5%
67 1
 
0.3%
124 1
 
0.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
344 
청소년이용불가
 
18
전체이용가 및 청소년이용불가
 
3
전체이용가
 
1

Length

Max length15
Median length4
Mean length4.2404372
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 344
94.0%
청소년이용불가 18
 
4.9%
전체이용가 및 청소년이용불가 3
 
0.8%
전체이용가 1
 
0.3%

Length

2024-04-30T04:09:28.300112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:28.403173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 344
92.5%
청소년이용불가 21
 
5.6%
전체이용가 4
 
1.1%
및 3
 
0.8%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing366
Missing (%)100.0%
Memory size3.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
348 
일반주거지역
 
9
일반상업지역
 
4
주거지역
 
2
준주거지역
 
2

Length

Max length6
Median length4
Mean length4.0765027
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 348
95.1%
일반주거지역 9
 
2.5%
일반상업지역 4
 
1.1%
주거지역 2
 
0.5%
준주거지역 2
 
0.5%
상업지역 1
 
0.3%

Length

2024-04-30T04:09:28.509465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:09:28.808493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 348
95.1%
일반주거지역 9
 
2.5%
일반상업지역 4
 
1.1%
주거지역 2
 
0.5%
준주거지역 2
 
0.5%
상업지역 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFF224101198500000119850330<NA>3폐업3폐업19971103<NA><NA><NA>834-2223<NA>156851서울특별시 동작구 신대방동 498-9번지서울특별시 동작구 여의대방로 86-1 (신대방동)<NA>진성2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>192534.587323443841.068844게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13190000CDFF224101198500000219850403<NA>3폐업3폐업19971211<NA><NA><NA>842-2174<NA>156853서울특별시 동작구 신대방동 607-43번지서울특별시 동작구 시흥대로 644-1 (신대방동)<NA>엄지오락실2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>191730.681239442974.584782게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23190000CDFF224101198500000319850404<NA>3폐업3폐업19950407<NA><NA><NA>815-5686<NA>156836서울특별시 동작구 상도1동 393-0번지서울특별시 동작구 상도로 299 (상도1동)<NA>두뇌오락실2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>195491.677822444322.85793게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33190000CDFF224101198500000419850801<NA>3폐업3폐업19961004<NA><NA><NA>815-8006<NA>156031서울특별시 동작구 상도1동 441-1번지서울특별시 동작구 상도로47길 79 (상도1동)<NA>뽕뽕2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>195661.03929444515.186418게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43190000CDFF224101198500000619850626<NA>3폐업3폐업19980302<NA><NA><NA>593-5587<NA>156817서울특별시 동작구 사당동 162-15번지서울특별시 동작구 사당로27길 78 (사당동)<NA>4차원2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>197791.22513442750.854211게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53190000CDFF224101198500000719850820<NA>3폐업3폐업19951124<NA><NA><NA>0-<NA>156080서울특별시 동작구 동작동 72-12번지<NA><NA>경문2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63190000CDFF224101198500000819850530<NA>3폐업3폐업20021129<NA><NA><NA>813-9650<NA>156030서울특별시 동작구 상도동 43-1번지<NA><NA>숭전2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA><NA><NA>게임제공업유통관련업0기타<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73190000CDFF224101198500000919851118<NA>3폐업3폐업20050428<NA><NA><NA>813-3748<NA>156810서울특별시 동작구 대방동 389-24번지서울특별시 동작구 여의대방로 182 (대방동)<NA>대방2005-05-04 12:32:03I2018-08-31 23:59:59.0<NA>193014.369067444546.232769게임제공업유통관련업<NA>기타<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83190000CDFF224101198600000119860114<NA>3폐업3폐업19981222<NA><NA><NA>583-5757<NA>156826서울특별시 동작구 사당동 1037-16번지서울특별시 동작구 남부순환로269길 22 (사당동)<NA>신형2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>197980.104392441726.264466게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93190000CDFF224101198600000219860303<NA>3폐업3폐업19970311<NA><NA><NA>0-<NA>156807서울특별시 동작구 대방동 17-38번지서울특별시 동작구 등용로 87 (대방동)<NA>타이거2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>193913.855917445213.961628게임제공업유통관련업<NA>주택가주변<NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3563190000CDFF224113201400000220140403<NA>3폐업3폐업20160921<NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 336-5번지서울특별시 동작구 상도로 84 (대방동)7041드림게임랜드2016-09-21 17:02:01I2018-08-31 23:59:59.0<NA>193738.8147444148.087831일반게임제공업유통관련업<NA><NA>황금포커성(40),휘버타임(30)169.38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
3573190000CDFF22411320140000032014-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 134-2서울특별시 동작구 동작대로 127, 지하1층 (사당동)7008명성 게임장2023-07-12 12:42:47U2022-12-06 23:04:00.0<NA>198332.497687442863.050172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3583190000CDFF224113201500000120150422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 147-2번지서울특별시 동작구 동작대로 107 (사당동)7008로얄게임장2016-04-08 11:35:16I2018-08-31 23:59:59.0<NA>198320.630193442660.152582일반게임제공업유통관련업<NA><NA>요정성96.16<NA>1판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
3593190000CDFF224113201500000220150714<NA>3폐업3폐업20210416<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1031-28서울특별시 동작구 동작대로 25, 지층 (사당동)7015사당게임랜드2021-04-19 09:09:34U2021-04-21 02:40:00.0<NA>198275.378712441839.878978일반게임제공업유통관련업<NA><NA>자뻑포카(50), 불타는 불새(50), 라이온킹(20),불타는불새2(20),퍼니바둑이(2),로얄고도리2(1)231.8<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
3603190000CDFF224113201600000120160111<NA>3폐업3폐업20170605<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 노량진로 147, 지하1층 (노량진동, 일등고시학원)6902에이스게임랜드2017-06-05 17:30:18I2018-08-31 23:59:59.0<NA>194821.406353445740.716082일반게임제공업유통관련업<NA><NA>슈퍼드래곤 외 2대168.36<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
3613190000CDFF224113201600000220160613<NA>3폐업3폐업20211215<NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 336-6서울특별시 동작구 상도로 82, 2층 (대방동)7041신대방게임랜드2021-12-15 18:09:45U2021-12-17 02:40:00.0<NA>193712.56732444141.942093일반게임제공업유통관련업<NA><NA>흑룡성, 불타는 불새, 구름위에 용2, 씨야포커2202.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
3623190000CDFF224113202000000120200622<NA>3폐업3폐업20210910<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 148-9서울특별시 동작구 사당로 289, 지층 (사당동)7008이수게임랜드2022-02-24 13:52:55U2022-02-26 02:40:00.0<NA>198128.497755442514.202528일반게임제공업유통관련업<NA><NA>강태공, 천일몽, 씨야포커3150.37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA><NA>
3633190000CDFF224113202100000120211119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1031-28서울특별시 동작구 동작대로 25, 지층 (사당동)7015불새게임랜드2021-11-19 17:46:15I2021-11-21 00:22:44.0<NA>198275.378712441839.878978일반게임제공업유통관련업0<NA><NA>231.800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>청소년이용불가<NA><NA><NA><NA>
3643190000CDFF224113202100000220211217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 336-6서울특별시 동작구 상도로 82, 2층 (대방동)7041대방게임랜드2021-12-17 11:29:01I2021-12-19 00:22:42.0<NA>193712.56732444141.942093일반게임제공업유통관련업0<NA><NA>202.800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>청소년이용불가<NA><NA><NA><NA>
3653190000CDFF22411320230000012023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 139-66서울특별시 동작구 동작대로27길 9 (사당동)7008왕 게임랜드2023-12-20 17:18:56I2022-11-01 22:03:00.0<NA>198281.738819442805.90977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>