Overview

Dataset statistics

Number of variables56
Number of observations595
Missing cells16300
Missing cells (%)48.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory281.9 KiB
Average record size in memory485.2 B

Variable types

Categorical19
Text9
DateTime4
Unsupported20
Numeric4

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16743/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (98.2%)Imbalance
데이터갱신구분 is highly imbalanced (94.2%)Imbalance
문화체육업종명 is highly imbalanced (98.2%)Imbalance
문화사업자구분명 is highly imbalanced (98.2%)Imbalance
총층수 is highly imbalanced (97.3%)Imbalance
시설면적 is highly imbalanced (96.5%)Imbalance
지상층수 is highly imbalanced (97.3%)Imbalance
지하층수 is highly imbalanced (97.7%)Imbalance
통로너비 is highly imbalanced (98.2%)Imbalance
조명시설조도 is highly imbalanced (98.2%)Imbalance
노래방실수 is highly imbalanced (98.2%)Imbalance
청소년실수 is highly imbalanced (98.2%)Imbalance
총게임기수 is highly imbalanced (98.2%)Imbalance
제공게임물명 is highly imbalanced (93.0%)Imbalance
폐업일자 has 291 (48.9%) missing valuesMissing
휴업시작일자 has 595 (100.0%) missing valuesMissing
휴업종료일자 has 595 (100.0%) missing valuesMissing
재개업일자 has 595 (100.0%) missing valuesMissing
전화번호 has 592 (99.5%) missing valuesMissing
소재지면적 has 595 (100.0%) missing valuesMissing
소재지우편번호 has 21 (3.5%) missing valuesMissing
도로명주소 has 201 (33.8%) missing valuesMissing
도로명우편번호 has 583 (98.0%) missing valuesMissing
업태구분명 has 595 (100.0%) missing valuesMissing
좌표정보(X) has 171 (28.7%) missing valuesMissing
좌표정보(Y) has 171 (28.7%) missing valuesMissing
주변환경명 has 595 (100.0%) missing valuesMissing
제작취급품목내용 has 593 (99.7%) missing valuesMissing
건물용도명 has 592 (99.5%) missing valuesMissing
비상계단여부 has 595 (100.0%) missing valuesMissing
비상구여부 has 595 (100.0%) missing valuesMissing
자동환기여부 has 595 (100.0%) missing valuesMissing
청소년실여부 has 595 (100.0%) missing valuesMissing
특수조명여부 has 595 (100.0%) missing valuesMissing
방음시설여부 has 595 (100.0%) missing valuesMissing
비디오재생기명 has 595 (100.0%) missing valuesMissing
조명시설유무 has 595 (100.0%) missing valuesMissing
음향시설여부 has 595 (100.0%) missing valuesMissing
편의시설여부 has 595 (100.0%) missing valuesMissing
소방시설여부 has 595 (100.0%) missing valuesMissing
기존게임업외업종명 has 592 (99.5%) missing valuesMissing
공연장형태구분명 has 595 (100.0%) missing valuesMissing
품목명 has 595 (100.0%) missing valuesMissing
최초등록시점 has 595 (100.0%) missing valuesMissing
지역구분명 has 593 (99.7%) 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
주변환경명 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 05:53:51.095468
Analysis finished2024-05-11 05:53:52.280461
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3010000
595 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 595
100.0%

Length

2024-05-11T14:53:52.381490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:52.548655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 595
100.0%

관리번호
Text

UNIQUE 

Distinct595
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-11T14:53:52.841448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters11900
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

Unique595 ?
Unique (%)100.0%

Sample

1st rowCDFF2241031904000001
2nd rowCDFF2241031991000001
3rd rowCDFF2241031991000002
4th rowCDFF2241031991000003
5th rowCDFF2241031991000004
ValueCountFrequency (%)
cdff2241031904000001 1
 
0.2%
cdff2241031997000001 1
 
0.2%
cdff2241031997000010 1
 
0.2%
cdff2241031997000004 1
 
0.2%
cdff2241031997000005 1
 
0.2%
cdff2241031997000006 1
 
0.2%
cdff2241031997000007 1
 
0.2%
cdff2241031997000008 1
 
0.2%
cdff2241031997000009 1
 
0.2%
cdff2241031997000011 1
 
0.2%
Other values (585) 585
98.3%
2024-05-11T14:53:53.394951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3350
28.2%
2 1572
13.2%
1 1390
11.7%
F 1190
 
10.0%
9 1104
 
9.3%
3 816
 
6.9%
4 773
 
6.5%
C 595
 
5.0%
D 595
 
5.0%
5 159
 
1.3%
Other values (3) 356
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9520
80.0%
Uppercase Letter 2380
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3350
35.2%
2 1572
16.5%
1 1390
14.6%
9 1104
 
11.6%
3 816
 
8.6%
4 773
 
8.1%
5 159
 
1.7%
6 129
 
1.4%
7 119
 
1.2%
8 108
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 1190
50.0%
C 595
25.0%
D 595
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9520
80.0%
Latin 2380
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3350
35.2%
2 1572
16.5%
1 1390
14.6%
9 1104
 
11.6%
3 816
 
8.6%
4 773
 
8.1%
5 159
 
1.7%
6 129
 
1.4%
7 119
 
1.2%
8 108
 
1.1%
Latin
ValueCountFrequency (%)
F 1190
50.0%
C 595
25.0%
D 595
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3350
28.2%
2 1572
13.2%
1 1390
11.7%
F 1190
 
10.0%
9 1104
 
9.3%
3 816
 
6.9%
4 773
 
6.5%
C 595
 
5.0%
D 595
 
5.0%
5 159
 
1.3%
Other values (3) 356
 
3.0%

인허가일자
Date

Distinct366
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum1904-06-20 00:00:00
Maximum2018-08-02 00:00:00
2024-05-11T14:53:53.624233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:53:53.859546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
594 
20130926
 
1

Length

Max length8
Median length4
Mean length4.0067227
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 594
99.8%
20130926 1
 
0.2%

Length

2024-05-11T14:53:54.089451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:54.261442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 594
99.8%
20130926 1
 
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3
304 
1
288 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 304
51.1%
1 288
48.4%
4 3
 
0.5%

Length

2024-05-11T14:53:54.440690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:54.613265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 304
51.1%
1 288
48.4%
4 3
 
0.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
폐업
304 
영업/정상
288 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.512605
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 304
51.1%
영업/정상 288
48.4%
취소/말소/만료/정지/중지 3
 
0.5%

Length

2024-05-11T14:53:54.806662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:55.350338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 304
51.1%
영업/정상 288
48.4%
취소/말소/만료/정지/중지 3
 
0.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3
304 
13
288 
35
 
2
31
 
1

Length

Max length2
Median length1
Mean length1.4890756
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 304
51.1%
13 288
48.4%
35 2
 
0.3%
31 1
 
0.2%

Length

2024-05-11T14:53:55.548908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:55.715776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 304
51.1%
13 288
48.4%
35 2
 
0.3%
31 1
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
폐업
304 
영업중
288 
직권말소
 
2
등록취소
 
1

Length

Max length4
Median length2
Mean length2.4941176
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 304
51.1%
영업중 288
48.4%
직권말소 2
 
0.3%
등록취소 1
 
0.2%

Length

2024-05-11T14:53:55.903200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:56.102515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 304
51.1%
영업중 288
48.4%
직권말소 2
 
0.3%
등록취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct211
Distinct (%)69.4%
Missing291
Missing (%)48.9%
Memory size4.8 KiB
Minimum1993-06-30 00:00:00
Maximum2023-12-01 00:00:00
2024-05-11T14:53:56.309257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:53:56.570734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing592
Missing (%)99.5%
Memory size4.8 KiB
2024-05-11T14:53:56.819243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length9
Min length8

Characters and Unicode

Total characters27
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row755-8110
2nd row777-6616
3rd row02-855-8437
ValueCountFrequency (%)
755-8110 1
33.3%
777-6616 1
33.3%
02-855-8437 1
33.3%
2024-05-11T14:53:57.439835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
18.5%
5 4
14.8%
- 4
14.8%
8 3
11.1%
1 3
11.1%
6 3
11.1%
0 2
 
7.4%
2 1
 
3.7%
4 1
 
3.7%
3 1
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23
85.2%
Dash Punctuation 4
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
21.7%
5 4
17.4%
8 3
13.0%
1 3
13.0%
6 3
13.0%
0 2
 
8.7%
2 1
 
4.3%
4 1
 
4.3%
3 1
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
18.5%
5 4
14.8%
- 4
14.8%
8 3
11.1%
1 3
11.1%
6 3
11.1%
0 2
 
7.4%
2 1
 
3.7%
4 1
 
3.7%
3 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
18.5%
5 4
14.8%
- 4
14.8%
8 3
11.1%
1 3
11.1%
6 3
11.1%
0 2
 
7.4%
2 1
 
3.7%
4 1
 
3.7%
3 1
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)21.3%
Missing21
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean100576.99
Minimum100011
Maximum100897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:53:57.722289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100013
Q1100340
median100809
Q3100848
95-th percentile100871
Maximum100897
Range886
Interquartile range (IQR)508

Descriptive statistics

Standard deviation321.91505
Coefficient of variation (CV)0.0032006829
Kurtosis-1.3575609
Mean100576.99
Median Absolute Deviation (MAD)62
Skewness-0.55422245
Sum57731191
Variance103629.3
MonotonicityNot monotonic
2024-05-11T14:53:57.969735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100340 72
 
12.1%
100868 31
 
5.2%
100848 27
 
4.5%
100011 26
 
4.4%
100819 21
 
3.5%
100871 20
 
3.4%
100450 17
 
2.9%
100826 15
 
2.5%
100861 10
 
1.7%
100273 9
 
1.5%
Other values (112) 326
54.8%
(Missing) 21
 
3.5%
ValueCountFrequency (%)
100011 26
4.4%
100013 7
 
1.2%
100015 2
 
0.3%
100021 4
 
0.7%
100031 5
 
0.8%
100032 3
 
0.5%
100041 1
 
0.2%
100042 8
 
1.3%
100043 1
 
0.2%
100051 2
 
0.3%
ValueCountFrequency (%)
100897 4
0.7%
100895 1
 
0.2%
100890 7
1.2%
100889 1
 
0.2%
100888 2
 
0.3%
100887 2
 
0.3%
100880 2
 
0.3%
100879 2
 
0.3%
100878 1
 
0.2%
100876 1
 
0.2%

지번주소
Text

Distinct557
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-11T14:53:58.439945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.820168
Min length17

Characters and Unicode

Total characters15363
Distinct characters165
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

Unique522 ?
Unique (%)87.7%

Sample

1st row서울특별시 중구 황학동 162번지 삼일(아) 17동 101호
2nd row서울특별시 중구 신당동 366-124번지
3rd row서울특별시 중구 필동3가 15번지
4th row서울특별시 중구 초동 21-1번지 기영빌딩 201호
5th row서울특별시 중구 신당동 432-178번지
ValueCountFrequency (%)
서울특별시 595
20.1%
중구 595
20.1%
신당동 133
 
4.5%
산림동 79
 
2.7%
황학동 61
 
2.1%
을지로4가 33
 
1.1%
충무로1가 27
 
0.9%
대림상가 26
 
0.9%
9-6번지 24
 
0.8%
205-0번지 23
 
0.8%
Other values (776) 1368
46.2%
2024-05-11T14:53:59.190197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2843
18.5%
지 711
 
4.6%
서 605
 
3.9%
중 602
 
3.9%
울 600
 
3.9%
동 599
 
3.9%
시 597
 
3.9%
별 595
 
3.9%
특 595
 
3.9%
구 595
 
3.9%
Other values (155) 7021
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8947
58.2%
Decimal Number 3090
 
20.1%
Space Separator 2843
 
18.5%
Dash Punctuation 437
 
2.8%
Uppercase Letter 20
 
0.1%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Other Punctuation 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 711
 
7.9%
서 605
 
6.8%
중 602
 
6.7%
울 600
 
6.7%
동 599
 
6.7%
시 597
 
6.7%
별 595
 
6.7%
특 595
 
6.7%
구 595
 
6.7%
번 593
 
6.6%
Other values (128) 2855
31.9%
Decimal Number
ValueCountFrequency (%)
1 586
19.0%
2 570
18.4%
0 401
13.0%
3 320
10.4%
5 289
9.4%
6 239
7.7%
4 232
 
7.5%
7 195
 
6.3%
9 137
 
4.4%
8 121
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 7
35.0%
B 4
20.0%
C 2
 
10.0%
D 2
 
10.0%
K 1
 
5.0%
H 1
 
5.0%
F 1
 
5.0%
G 1
 
5.0%
S 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
, 2
40.0%
/ 1
20.0%
Space Separator
ValueCountFrequency (%)
2843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8947
58.2%
Common 6395
41.6%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 711
 
7.9%
서 605
 
6.8%
중 602
 
6.7%
울 600
 
6.7%
동 599
 
6.7%
시 597
 
6.7%
별 595
 
6.7%
특 595
 
6.7%
구 595
 
6.7%
번 593
 
6.6%
Other values (128) 2855
31.9%
Common
ValueCountFrequency (%)
2843
44.5%
1 586
 
9.2%
2 570
 
8.9%
- 437
 
6.8%
0 401
 
6.3%
3 320
 
5.0%
5 289
 
4.5%
6 239
 
3.7%
4 232
 
3.6%
7 195
 
3.0%
Other values (7) 283
 
4.4%
Latin
ValueCountFrequency (%)
A 7
33.3%
B 4
19.0%
C 2
 
9.5%
D 2
 
9.5%
b 1
 
4.8%
K 1
 
4.8%
H 1
 
4.8%
F 1
 
4.8%
G 1
 
4.8%
S 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8947
58.2%
ASCII 6416
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2843
44.3%
1 586
 
9.1%
2 570
 
8.9%
- 437
 
6.8%
0 401
 
6.2%
3 320
 
5.0%
5 289
 
4.5%
6 239
 
3.7%
4 232
 
3.6%
7 195
 
3.0%
Other values (17) 304
 
4.7%
Hangul
ValueCountFrequency (%)
지 711
 
7.9%
서 605
 
6.8%
중 602
 
6.7%
울 600
 
6.7%
동 599
 
6.7%
시 597
 
6.7%
별 595
 
6.7%
특 595
 
6.7%
구 595
 
6.7%
번 593
 
6.6%
Other values (128) 2855
31.9%

도로명주소
Text

MISSING 

Distinct367
Distinct (%)93.1%
Missing201
Missing (%)33.8%
Memory size4.8 KiB
2024-05-11T14:53:59.813703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length28.913706
Min length21

Characters and Unicode

Total characters11392
Distinct characters166
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

Unique341 ?
Unique (%)86.5%

Sample

1st row서울특별시 중구 다산로 58-1 (신당동)
2nd row서울특별시 중구 퇴계로44길 11 (필동3가)
3rd row서울특별시 중구 충무로5길 11, 201호 (초동,기영빌딩)
4th row서울특별시 중구 동호로15가길 20 (신당동)
5th row서울특별시 중구 퇴계로88길 27 (신당동)
ValueCountFrequency (%)
서울특별시 394
 
18.5%
중구 394
 
18.5%
신당동 94
 
4.4%
을지로 51
 
2.4%
157 41
 
1.9%
퇴계로 33
 
1.5%
청계천로 20
 
0.9%
160 18
 
0.8%
다산로 18
 
0.8%
황학동 17
 
0.8%
Other values (552) 1051
49.3%
2024-05-11T14:54:00.703316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2056
 
18.0%
로 468
 
4.1%
서 414
 
3.6%
동 408
 
3.6%
구 405
 
3.6%
시 404
 
3.5%
) 399
 
3.5%
( 399
 
3.5%
중 398
 
3.5%
울 396
 
3.5%
Other values (156) 5645
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6415
56.3%
Space Separator 2056
 
18.0%
Decimal Number 1811
 
15.9%
Close Punctuation 399
 
3.5%
Open Punctuation 399
 
3.5%
Other Punctuation 239
 
2.1%
Dash Punctuation 59
 
0.5%
Uppercase Letter 13
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 468
 
7.3%
서 414
 
6.5%
동 408
 
6.4%
구 405
 
6.3%
시 404
 
6.3%
중 398
 
6.2%
울 396
 
6.2%
별 394
 
6.1%
특 394
 
6.1%
가 269
 
4.2%
Other values (131) 2465
38.4%
Decimal Number
ValueCountFrequency (%)
1 374
20.7%
2 304
16.8%
3 192
10.6%
4 168
9.3%
0 149
 
8.2%
5 143
 
7.9%
7 142
 
7.8%
6 140
 
7.7%
8 105
 
5.8%
9 94
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
C 2
15.4%
D 2
15.4%
S 1
 
7.7%
H 1
 
7.7%
F 1
 
7.7%
K 1
 
7.7%
G 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 238
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6415
56.3%
Common 4963
43.6%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 468
 
7.3%
서 414
 
6.5%
동 408
 
6.4%
구 405
 
6.3%
시 404
 
6.3%
중 398
 
6.2%
울 396
 
6.2%
별 394
 
6.1%
특 394
 
6.1%
가 269
 
4.2%
Other values (131) 2465
38.4%
Common
ValueCountFrequency (%)
2056
41.4%
) 399
 
8.0%
( 399
 
8.0%
1 374
 
7.5%
2 304
 
6.1%
, 238
 
4.8%
3 192
 
3.9%
4 168
 
3.4%
0 149
 
3.0%
5 143
 
2.9%
Other values (6) 541
 
10.9%
Latin
ValueCountFrequency (%)
B 4
28.6%
C 2
14.3%
D 2
14.3%
b 1
 
7.1%
S 1
 
7.1%
H 1
 
7.1%
F 1
 
7.1%
K 1
 
7.1%
G 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6415
56.3%
ASCII 4977
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2056
41.3%
) 399
 
8.0%
( 399
 
8.0%
1 374
 
7.5%
2 304
 
6.1%
, 238
 
4.8%
3 192
 
3.9%
4 168
 
3.4%
0 149
 
3.0%
5 143
 
2.9%
Other values (15) 555
 
11.2%
Hangul
ValueCountFrequency (%)
로 468
 
7.3%
서 414
 
6.5%
동 408
 
6.4%
구 405
 
6.3%
시 404
 
6.3%
중 398
 
6.2%
울 396
 
6.2%
별 394
 
6.1%
특 394
 
6.1%
가 269
 
4.2%
Other values (131) 2465
38.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing583
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean4554.5
Minimum4527
Maximum4634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:54:00.937088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4527
5-th percentile4531.4
Q14535.75
median4537.5
Q34561.75
95-th percentile4614.2
Maximum4634
Range107
Interquartile range (IQR)26

Descriptive statistics

Standard deviation32.405106
Coefficient of variation (CV)0.0071149646
Kurtosis2.3988319
Mean4554.5
Median Absolute Deviation (MAD)5
Skewness1.7174834
Sum54654
Variance1050.0909
MonotonicityNot monotonic
2024-05-11T14:54:01.141540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4535 2
 
0.3%
4536 2
 
0.3%
4634 1
 
0.2%
4557 1
 
0.2%
4537 1
 
0.2%
4527 1
 
0.2%
4598 1
 
0.2%
4545 1
 
0.2%
4576 1
 
0.2%
4538 1
 
0.2%
(Missing) 583
98.0%
ValueCountFrequency (%)
4527 1
0.2%
4535 2
0.3%
4536 2
0.3%
4537 1
0.2%
4538 1
0.2%
4545 1
0.2%
4557 1
0.2%
4576 1
0.2%
4598 1
0.2%
4634 1
0.2%
ValueCountFrequency (%)
4634 1
0.2%
4598 1
0.2%
4576 1
0.2%
4557 1
0.2%
4545 1
0.2%
4538 1
0.2%
4537 1
0.2%
4536 2
0.3%
4535 2
0.3%
4527 1
0.2%

사업장명
Text

Distinct559
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-05-11T14:54:01.525974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.4252101
Min length2

Characters and Unicode

Total characters3228
Distinct characters360
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

Unique529 ?
Unique (%)88.9%

Sample

1st row정우상사
2nd row홈비디오
3rd rowA프로덕션
4th row(주)피엠지코리아
5th row삼성비디오
ValueCountFrequency (%)
영비디오 5
 
0.8%
비디오타운 3
 
0.5%
알파비디오 3
 
0.5%
현대비디오 3
 
0.5%
중앙유통 2
 
0.3%
유진상사 2
 
0.3%
애니랜드 2
 
0.3%
둘리비디오 2
 
0.3%
유진레코드 2
 
0.3%
황제비디오 2
 
0.3%
Other values (572) 596
95.8%
2024-05-11T14:54:02.239842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 178
 
5.5%
오 170
 
5.3%
비 161
 
5.0%
자 80
 
2.5%
전 71
 
2.2%
주 67
 
2.1%
) 61
 
1.9%
( 59
 
1.8%
사 56
 
1.7%
상 51
 
1.6%
Other values (350) 2274
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3016
93.4%
Close Punctuation 61
 
1.9%
Open Punctuation 59
 
1.8%
Decimal Number 38
 
1.2%
Space Separator 27
 
0.8%
Uppercase Letter 19
 
0.6%
Other Punctuation 6
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 178
 
5.9%
오 170
 
5.6%
비 161
 
5.3%
자 80
 
2.7%
전 71
 
2.4%
주 67
 
2.2%
사 56
 
1.9%
상 51
 
1.7%
코 48
 
1.6%
드 47
 
1.6%
Other values (329) 2087
69.2%
Uppercase Letter
ValueCountFrequency (%)
L 5
26.3%
G 4
21.1%
V 2
 
10.5%
C 2
 
10.5%
A 1
 
5.3%
R 1
 
5.3%
I 1
 
5.3%
H 1
 
5.3%
D 1
 
5.3%
T 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 18
47.4%
5 17
44.7%
9 2
 
5.3%
1 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 1
 
16.7%
& 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3016
93.4%
Common 193
 
6.0%
Latin 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 178
 
5.9%
오 170
 
5.6%
비 161
 
5.3%
자 80
 
2.7%
전 71
 
2.4%
주 67
 
2.2%
사 56
 
1.9%
상 51
 
1.7%
코 48
 
1.6%
드 47
 
1.6%
Other values (329) 2087
69.2%
Common
ValueCountFrequency (%)
) 61
31.6%
( 59
30.6%
27
14.0%
2 18
 
9.3%
5 17
 
8.8%
. 4
 
2.1%
9 2
 
1.0%
- 2
 
1.0%
, 1
 
0.5%
& 1
 
0.5%
Latin
ValueCountFrequency (%)
L 5
26.3%
G 4
21.1%
V 2
 
10.5%
C 2
 
10.5%
A 1
 
5.3%
R 1
 
5.3%
I 1
 
5.3%
H 1
 
5.3%
D 1
 
5.3%
T 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3016
93.4%
ASCII 212
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 178
 
5.9%
오 170
 
5.6%
비 161
 
5.3%
자 80
 
2.7%
전 71
 
2.4%
주 67
 
2.2%
사 56
 
1.9%
상 51
 
1.7%
코 48
 
1.6%
드 47
 
1.6%
Other values (329) 2087
69.2%
ASCII
ValueCountFrequency (%)
) 61
28.8%
( 59
27.8%
27
12.7%
2 18
 
8.5%
5 17
 
8.0%
L 5
 
2.4%
. 4
 
1.9%
G 4
 
1.9%
9 2
 
0.9%
- 2
 
0.9%
Other values (11) 13
 
6.1%

최종수정일자
Date

Distinct26
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2003-02-11 18:21:03
Maximum2023-12-01 18:18:38
2024-05-11T14:54:02.433516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:02.611528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
I
591 
U
 
4

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 591
99.3%
U 4
 
0.7%

Length

2024-05-11T14:54:02.830789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:02.983145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 591
99.3%
u 4
 
0.7%

데이터갱신일자
Date

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 00:03:00
2024-05-11T14:54:03.122516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:03.292649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct303
Distinct (%)71.5%
Missing171
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean199691.78
Minimum196728.73
Maximum202128.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:54:03.534410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196728.73
5-th percentile197740.54
Q1198517.42
median199534.33
Q3201010.81
95-th percentile201776.37
Maximum202128.14
Range5399.4074
Interquartile range (IQR)2493.3936

Descriptive statistics

Standard deviation1357.6856
Coefficient of variation (CV)0.0067989056
Kurtosis-1.1986522
Mean199691.78
Median Absolute Deviation (MAD)1216.3051
Skewness0.051341735
Sum84669315
Variance1843310.1
MonotonicityNot monotonic
2024-05-11T14:54:03.800710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199534.329650967 24
 
4.0%
199521.200809167 18
 
3.0%
199526.416139264 16
 
2.7%
201058.847745813 4
 
0.7%
201384.456643466 4
 
0.7%
198783.056789386 4
 
0.7%
198259.65357739 4
 
0.7%
197864.564761519 4
 
0.7%
201852.931048042 3
 
0.5%
197620.676444642 3
 
0.5%
Other values (293) 340
57.1%
(Missing) 171
28.7%
ValueCountFrequency (%)
196728.729522546 1
0.2%
196807.487380248 1
0.2%
197051.915350262 1
0.2%
197196.040441299 1
0.2%
197223.229968607 1
0.2%
197230.206089772 1
0.2%
197243.215346366 1
0.2%
197375.183833059 1
0.2%
197424.712852952 1
0.2%
197471.039917994 2
0.3%
ValueCountFrequency (%)
202128.136971071 1
0.2%
201973.135031928 1
0.2%
201957.137766845 1
0.2%
201955.053062924 1
0.2%
201934.287649228 1
0.2%
201901.862341835 1
0.2%
201887.386514743 1
0.2%
201886.012293513 1
0.2%
201866.335439439 1
0.2%
201866.014245256 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct303
Distinct (%)71.5%
Missing171
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean451170.73
Minimum449714.82
Maximum452025.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-05-11T14:54:04.091108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449714.82
5-th percentile450338.31
Q1450920.53
median451198.48
Q3451553.24
95-th percentile451751.42
Maximum452025.53
Range2310.7018
Interquartile range (IQR)632.70977

Descriptive statistics

Standard deviation456.93831
Coefficient of variation (CV)0.0010127836
Kurtosis-0.17335212
Mean451170.73
Median Absolute Deviation (MAD)318.65446
Skewness-0.51765838
Sum1.9129639 × 108
Variance208792.62
MonotonicityNot monotonic
2024-05-11T14:54:04.382993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451608.222852119 24
 
4.0%
451751.424132583 18
 
3.0%
451693.211256949 16
 
2.7%
450537.642315652 4
 
0.7%
451334.342960082 4
 
0.7%
450732.471972874 4
 
0.7%
451392.198218657 4
 
0.7%
450776.970697936 4
 
0.7%
450855.26449377 3
 
0.5%
450361.506112161 3
 
0.5%
Other values (293) 340
57.1%
(Missing) 171
28.7%
ValueCountFrequency (%)
449714.824280955 1
0.2%
449730.715061131 1
0.2%
449935.956051473 1
0.2%
450014.367000389 1
0.2%
450024.91216726 1
0.2%
450054.422130374 1
0.2%
450070.182748513 1
0.2%
450099.447208811 1
0.2%
450110.809527793 1
0.2%
450118.110225733 1
0.2%
ValueCountFrequency (%)
452025.526057499 1
0.2%
451987.062101334 1
0.2%
451973.091291814 1
0.2%
451958.629072084 1
0.2%
451957.546942344 1
0.2%
451938.780207998 1
0.2%
451936.370067743 1
0.2%
451919.349435294 2
0.3%
451916.625011841 1
0.2%
451913.043931275 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
복합유통게임제공업
594 
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9915966
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:04.596491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:04.758318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 594
99.8%
na 1
 
0.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
유통관련업
594 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9983193
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:04.925775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:05.079911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 594
99.8%
na 1
 
0.2%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
592 
2
 
1
<NA>
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 592
99.5%
2 1
 
0.2%
<NA> 1
 
0.2%
4 1
 
0.2%

Length

2024-05-11T14:54:05.225678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:05.361964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 592
99.5%
2 1
 
0.2%
na 1
 
0.2%
4 1
 
0.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

제작취급품목내용
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing593
Missing (%)99.7%
Memory size4.8 KiB
2024-05-11T14:54:05.573698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8.5
Mean length8.5
Min length6

Characters and Unicode

Total characters17
Distinct characters14
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row이츠 브이알
2nd row인터넷컴퓨터게임 VR
ValueCountFrequency (%)
이츠 1
25.0%
브이알 1
25.0%
인터넷컴퓨터게임 1
25.0%
vr 1
25.0%
2024-05-11T14:54:05.936473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2
11.8%
2
11.8%
터 2
11.8%
츠 1
 
5.9%
브 1
 
5.9%
알 1
 
5.9%
인 1
 
5.9%
넷 1
 
5.9%
컴 1
 
5.9%
퓨 1
 
5.9%
Other values (4) 4
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
76.5%
Space Separator 2
 
11.8%
Uppercase Letter 2
 
11.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2
15.4%
터 2
15.4%
츠 1
7.7%
브 1
7.7%
알 1
7.7%
인 1
7.7%
넷 1
7.7%
컴 1
7.7%
퓨 1
7.7%
게 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
76.5%
Common 2
 
11.8%
Latin 2
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2
15.4%
터 2
15.4%
츠 1
7.7%
브 1
7.7%
알 1
7.7%
인 1
7.7%
넷 1
7.7%
컴 1
7.7%
퓨 1
7.7%
게 1
7.7%
Latin
ValueCountFrequency (%)
V 1
50.0%
R 1
50.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
76.5%
ASCII 4
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2
15.4%
터 2
15.4%
츠 1
7.7%
브 1
7.7%
알 1
7.7%
인 1
7.7%
넷 1
7.7%
컴 1
7.7%
퓨 1
7.7%
게 1
7.7%
ASCII
ValueCountFrequency (%)
2
50.0%
V 1
25.0%
R 1
25.0%

시설면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0.0
590 
97.6
 
1
151.17
 
1
<NA>
 
1
82.64
 
1

Length

Max length6
Median length3
Mean length3.0151261
Min length3

Unique

Unique5 ?
Unique (%)0.8%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 590
99.2%
97.6 1
 
0.2%
151.17 1
 
0.2%
<NA> 1
 
0.2%
82.64 1
 
0.2%
238.0 1
 
0.2%

Length

2024-05-11T14:54:06.153088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:06.353468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 590
99.2%
97.6 1
 
0.2%
151.17 1
 
0.2%
na 1
 
0.2%
82.64 1
 
0.2%
238.0 1
 
0.2%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
592 
4
 
1
<NA>
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 592
99.5%
4 1
 
0.2%
<NA> 1
 
0.2%
3 1
 
0.2%

Length

2024-05-11T14:54:06.596933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:06.786598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 592
99.5%
4 1
 
0.2%
na 1
 
0.2%
3 1
 
0.2%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
593 
<NA>
 
1
1
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 593
99.7%
<NA> 1
 
0.2%
1 1
 
0.2%

Length

2024-05-11T14:54:06.969210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:07.150385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 593
99.7%
na 1
 
0.2%
1 1
 
0.2%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing592
Missing (%)99.5%
Memory size4.8 KiB
2024-05-11T14:54:07.321364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters16
Distinct characters8
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

Unique1 ?
Unique (%)33.3%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row판매시설
ValueCountFrequency (%)
근린생활시설 2
66.7%
판매시설 1
33.3%
2024-05-11T14:54:07.744158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 3
18.8%
설 3
18.8%
근 2
12.5%
린 2
12.5%
생 2
12.5%
활 2
12.5%
판 1
 
6.2%
매 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3
18.8%
설 3
18.8%
근 2
12.5%
린 2
12.5%
생 2
12.5%
활 2
12.5%
판 1
 
6.2%
매 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3
18.8%
설 3
18.8%
근 2
12.5%
린 2
12.5%
생 2
12.5%
활 2
12.5%
판 1
 
6.2%
매 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 3
18.8%
설 3
18.8%
근 2
12.5%
린 2
12.5%
생 2
12.5%
활 2
12.5%
판 1
 
6.2%
매 1
 
6.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
594 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:07.937515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:08.106735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 594
99.8%
na 1
 
0.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
594 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:08.286611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:08.459032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 594
99.8%
na 1
 
0.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
594 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:09.085279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:09.274854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 594
99.8%
na 1
 
0.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
594 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:09.465801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:09.653964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 594
99.8%
na 1
 
0.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0
594 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.005042
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 594
99.8%
<NA> 1
 
0.2%

Length

2024-05-11T14:54:09.847731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:10.011900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 594
99.8%
na 1
 
0.2%

기존게임업외업종명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing592
Missing (%)99.5%
Memory size4.8 KiB
2024-05-11T14:54:10.226723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length10
Min length2

Characters and Unicode

Total characters30
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row1개의기기에다양한콘텐츠제공
2nd row1개의기기에다양한콘텐츠제공
3rd row카페
ValueCountFrequency (%)
1개의기기에다양한콘텐츠제공 2
66.7%
카페 1
33.3%
2024-05-11T14:54:10.690615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 4
13.3%
1 2
 
6.7%
개 2
 
6.7%
의 2
 
6.7%
에 2
 
6.7%
다 2
 
6.7%
양 2
 
6.7%
한 2
 
6.7%
콘 2
 
6.7%
텐 2
 
6.7%
Other values (5) 8
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
93.3%
Decimal Number 2
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4
14.3%
개 2
 
7.1%
의 2
 
7.1%
에 2
 
7.1%
다 2
 
7.1%
양 2
 
7.1%
한 2
 
7.1%
콘 2
 
7.1%
텐 2
 
7.1%
츠 2
 
7.1%
Other values (4) 6
21.4%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
93.3%
Common 2
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4
14.3%
개 2
 
7.1%
의 2
 
7.1%
에 2
 
7.1%
다 2
 
7.1%
양 2
 
7.1%
한 2
 
7.1%
콘 2
 
7.1%
텐 2
 
7.1%
츠 2
 
7.1%
Other values (4) 6
21.4%
Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
93.3%
ASCII 2
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 4
14.3%
개 2
 
7.1%
의 2
 
7.1%
에 2
 
7.1%
다 2
 
7.1%
양 2
 
7.1%
한 2
 
7.1%
콘 2
 
7.1%
텐 2
 
7.1%
츠 2
 
7.1%
Other values (4) 6
21.4%
ASCII
ValueCountFrequency (%)
1 2
100.0%

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
590 
전체이용가
 
5

Length

Max length5
Median length4
Mean length4.0084034
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 590
99.2%
전체이용가 5
 
0.8%

Length

2024-05-11T14:54:10.950176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:11.198618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 590
99.2%
전체이용가 5
 
0.8%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing595
Missing (%)100.0%
Memory size5.4 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing593
Missing (%)99.7%
Memory size4.8 KiB
2024-05-11T14:54:11.402137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
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 row상업지역
2nd row중심상업지역
ValueCountFrequency (%)
상업지역 1
50.0%
중심상업지역 1
50.0%
2024-05-11T14:54:11.906286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
중 1
10.0%
심 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
중 1
10.0%
심 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
중 1
10.0%
심 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
중 1
10.0%
심 1
10.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF224103190400000119040620<NA>3폐업3폐업20010512<NA><NA><NA><NA><NA>100868서울특별시 중구 황학동 162번지 삼일(아) 17동 101호<NA><NA>정우상사2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF224103199100000119910702<NA>3폐업3폐업19991027<NA><NA><NA><NA><NA>100830서울특별시 중구 신당동 366-124번지서울특별시 중구 다산로 58-1 (신당동)<NA>홈비디오2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>200616.257907449714.824281복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF224103199100000219910708<NA>3폐업3폐업19970124<NA><NA><NA><NA><NA>100273서울특별시 중구 필동3가 15번지서울특별시 중구 퇴계로44길 11 (필동3가)<NA>A프로덕션2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>199705.336258451004.606432복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF224103199100000319910710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100300서울특별시 중구 초동 21-1번지 기영빌딩 201호서울특별시 중구 충무로5길 11, 201호 (초동,기영빌딩)<NA>(주)피엠지코리아2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>199220.324273451420.433192복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF224103199100000419910720<NA>3폐업3폐업19990528<NA><NA><NA><NA><NA>100835서울특별시 중구 신당동 432-178번지서울특별시 중구 동호로15가길 20 (신당동)<NA>삼성비디오2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>200605.99568450342.434449복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF224103199100000519910724<NA>3폐업3폐업19970304<NA><NA><NA><NA><NA>100830서울특별시 중구 신당동 366-283번지<NA><NA>로얄비디오2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF224103199100000619910726<NA>3폐업3폐업19990805<NA><NA><NA><NA><NA>100824서울특별시 중구 신당동 294-75번지<NA><NA>신일비디오2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>201319.30459450792.640661복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF224103199100000719910727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 153-27번지서울특별시 중구 퇴계로88길 27 (신당동)<NA>에바다비디오2014-09-12 17:54:55I2018-08-31 23:59:59.0<NA>201770.12609451336.779339복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF224103199100000819910802<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100868서울특별시 중구 황학동 162번지 삼일아파트 16동 105호<NA><NA>성민상사2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF224103199100000919910814<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100868서울특별시 중구 황학동 162번지 삼일 A 16동동 202호<NA><NA>서울비디오2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5853010000CDFF224103200100002320010802<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100340서울특별시 중구 산림동 207-2번지 (대림상가670호)서울특별시 중구 을지로 157 (산림동,(대림상가670호))<NA>제일시스템2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>199526.416139451693.211257복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
5863010000CDFF224103200100002420010817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100340서울특별시 중구 산림동 207-1번지 청계상가가열405호서울특별시 중구 청계천로 160 (산림동,청계상가가열405호)<NA>게임토피아2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>199521.200809451751.424133복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
5873010000CDFF224103200100002520010830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100032서울특별시 중구 저동2가 64번지 4층서울특별시 중구 수표로 31 (저동2가,4층)<NA>지앤씨인터렉티브2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>199027.405755451303.611967복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
5883010000CDFF224103200100002620011010<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100850서울특별시 중구 을지로6가 17-2번지 프레야 지상8층서울특별시 중구 장충단로13길 20 (을지로6가,프레야 지상8층)<NA>타이거벨리2003-02-11 18:21:03I2018-08-31 23:59:59.0<NA>200613.510298451817.515367복합유통게임제공업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
5893010000CDFF224103201000000120101206<NA>3폐업3폐업20170821<NA><NA><NA><NA><NA><NA>서울특별시 중구 명동2가 55-5번지 4층서울특별시 중구 명동4길 2, 4층 (명동2가)4536엠플러스 멀티방2017-08-21 09:46:05I2018-08-31 23:59:59.0<NA>198467.126665451240.860896복합유통게임제공업유통관련업2<NA><NA>97.600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>01개의기기에다양한콘텐츠제공전체이용가<NA><NA><NA><NA>
5903010000CDFF224103201100000120110112<NA>3폐업3폐업20120712<NA><NA><NA>755-8110<NA><NA>서울특별시 중구 명동2가 55-16번지 지상4층서울특별시 중구 명동4길 26 (명동2가,지상4층)<NA>큐플러스멀티방2012-07-13 09:18:35I2018-08-31 23:59:59.0<NA>198493.311044451141.404923복합유통게임제공업유통관련업0<NA><NA>151.1740<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>01개의기기에다양한콘텐츠제공전체이용가<NA><NA><NA><NA>
5913010000CDFF22410320110000022011-12-15<NA>3폐업3폐업2023-12-01<NA><NA><NA>777-6616<NA><NA>서울특별시 중구 명동2가 50-11 스마일멀티방서울특별시 중구 명동8길 8-10 (명동2가)4536스마일멀티방2023-12-01 18:18:38U2022-11-02 00:03:00.0<NA>198525.453232451232.96969<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>
5923010000CDFF224103201700000120170214<NA>3폐업3폐업20170726<NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 720번지서울특별시 중구 퇴계로 433 (황학동)4576게임파크2017-07-26 17:26:07I2018-08-31 23:59:59.0<NA>201686.073768451520.650686복합유통게임제공업유통관련업0<NA><NA>82.6400근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA>상업지역
5933010000CDFF224103201800000120180129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-855-8437<NA><NA>서울특별시 중구 충무로1가 25-9번지서울특별시 중구 명동8나길 49 (충무로1가)4535이츠 브이알2018-01-29 11:31:29I2018-08-31 23:59:59.0<NA>198353.066587450971.489112복합유통게임제공업유통관련업4<NA>이츠 브이알0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
5943010000CDFF224103201800000220180802<NA>3폐업3폐업20190402<NA><NA><NA><NA><NA><NA>서울특별시 중구 명동1가 8-1번지서울특별시 중구 명동길 53, 지하1층층 (명동1가)4538엔터VR카페 명동점2019-04-02 14:31:06U2019-04-04 02:40:00.0<NA>198632.634193451306.18195복합유통게임제공업유통관련업0<NA>인터넷컴퓨터게임 VR238.031판매시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0카페전체이용가<NA><NA><NA>중심상업지역