Overview

Dataset statistics

Number of variables56
Number of observations326
Missing cells8865
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory155.2 KiB
Average record size in memory487.4 B

Variable types

Categorical17
Text8
DateTime4
Unsupported22
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17314/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (97.0%)Imbalance
총층수 is highly imbalanced (69.2%)Imbalance
지상층수 is highly imbalanced (69.2%)Imbalance
지하층수 is highly imbalanced (69.2%)Imbalance
통로너비 is highly imbalanced (69.2%)Imbalance
조명시설조도 is highly imbalanced (69.2%)Imbalance
노래방실수 is highly imbalanced (69.2%)Imbalance
청소년실수 is highly imbalanced (69.2%)Imbalance
총게임기수 is highly imbalanced (69.2%)Imbalance
폐업일자 has 230 (70.6%) missing valuesMissing
휴업시작일자 has 326 (100.0%) missing valuesMissing
휴업종료일자 has 326 (100.0%) missing valuesMissing
재개업일자 has 326 (100.0%) missing valuesMissing
전화번호 has 192 (58.9%) missing valuesMissing
소재지면적 has 326 (100.0%) missing valuesMissing
소재지우편번호 has 278 (85.3%) missing valuesMissing
도로명우편번호 has 90 (27.6%) missing valuesMissing
업태구분명 has 326 (100.0%) missing valuesMissing
주변환경명 has 326 (100.0%) missing valuesMissing
제작취급품목내용 has 85 (26.1%) missing valuesMissing
시설면적 has 167 (51.2%) missing valuesMissing
건물용도명 has 325 (99.7%) missing valuesMissing
비상계단여부 has 326 (100.0%) missing valuesMissing
비상구여부 has 326 (100.0%) missing valuesMissing
자동환기여부 has 326 (100.0%) missing valuesMissing
청소년실여부 has 326 (100.0%) missing valuesMissing
특수조명여부 has 326 (100.0%) missing valuesMissing
방음시설여부 has 326 (100.0%) missing valuesMissing
비디오재생기명 has 326 (100.0%) missing valuesMissing
조명시설유무 has 326 (100.0%) missing valuesMissing
음향시설여부 has 326 (100.0%) missing valuesMissing
편의시설여부 has 326 (100.0%) missing valuesMissing
소방시설여부 has 326 (100.0%) missing valuesMissing
기존게임업외업종명 has 326 (100.0%) missing valuesMissing
제공게임물명 has 326 (100.0%) missing valuesMissing
공연장형태구분명 has 326 (100.0%) missing valuesMissing
품목명 has 326 (100.0%) missing valuesMissing
최초등록시점 has 326 (100.0%) missing valuesMissing
지역구분명 has 325 (99.7%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 24 (7.4%) zerosZeros

Reproduction

Analysis started2024-05-11 08:31:13.304923
Analysis finished2024-05-11 08:31:14.000714
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
3220000
326 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 326
100.0%

Length

2024-05-11T17:31:14.051654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:14.122832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 326
100.0%

관리번호
Text

UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T17:31:14.307861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6520
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

Unique326 ?
Unique (%)100.0%

Sample

1st rowCDFF1241111998000001
2nd rowCDFF1241111999000001
3rd rowCDFF1241111999000002
4th rowCDFF1241111999000003
5th rowCDFF1241111999000004
ValueCountFrequency (%)
cdff1241111998000001 1
 
0.3%
cdff1241112018000008 1
 
0.3%
cdff1241112019000014 1
 
0.3%
cdff1241112019000013 1
 
0.3%
cdff1241112019000012 1
 
0.3%
cdff1241112019000009 1
 
0.3%
cdff1241112019000008 1
 
0.3%
cdff1241112019000007 1
 
0.3%
cdff1241112019000006 1
 
0.3%
cdff1241112019000005 1
 
0.3%
Other values (316) 316
96.9%
2024-05-11T17:31:14.628900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1936
29.7%
1 1649
25.3%
2 866
13.3%
F 652
 
10.0%
4 386
 
5.9%
C 326
 
5.0%
D 326
 
5.0%
9 77
 
1.2%
3 76
 
1.2%
6 74
 
1.1%
Other values (3) 152
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5216
80.0%
Uppercase Letter 1304
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1936
37.1%
1 1649
31.6%
2 866
16.6%
4 386
 
7.4%
9 77
 
1.5%
3 76
 
1.5%
6 74
 
1.4%
7 59
 
1.1%
5 47
 
0.9%
8 46
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 652
50.0%
C 326
25.0%
D 326
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5216
80.0%
Latin 1304
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1936
37.1%
1 1649
31.6%
2 866
16.6%
4 386
 
7.4%
9 77
 
1.5%
3 76
 
1.5%
6 74
 
1.4%
7 59
 
1.1%
5 47
 
0.9%
8 46
 
0.9%
Latin
ValueCountFrequency (%)
F 652
50.0%
C 326
25.0%
D 326
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1936
29.7%
1 1649
25.3%
2 866
13.3%
F 652
 
10.0%
4 386
 
5.9%
C 326
 
5.0%
D 326
 
5.0%
9 77
 
1.2%
3 76
 
1.2%
6 74
 
1.1%
Other values (3) 152
 
2.3%

인허가일자
Date

Distinct311
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1998-09-29 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T17:31:14.757583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:31:14.878180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
325 
20200217
 
1

Length

Max length8
Median length4
Mean length4.0122699
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> 325
99.7%
20200217 1
 
0.3%

Length

2024-05-11T17:31:15.005863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:15.094378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 325
99.7%
20200217 1
 
0.3%

영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
229 
3
84 
5
 
12
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 229
70.2%
3 84
 
25.8%
5 12
 
3.7%
4 1
 
0.3%

Length

2024-05-11T17:31:15.183130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:15.265902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 229
70.2%
3 84
 
25.8%
5 12
 
3.7%
4 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
229 
폐업
84 
제외/삭제/전출
 
12
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.3650307
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 229
70.2%
폐업 84
 
25.8%
제외/삭제/전출 12
 
3.7%
취소/말소/만료/정지/중지 1
 
0.3%

Length

2024-05-11T17:31:15.359739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:15.445118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 229
70.2%
폐업 84
 
25.8%
제외/삭제/전출 12
 
3.7%
취소/말소/만료/정지/중지 1
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
13
229 
3
84 
15
 
12
31
 
1

Length

Max length2
Median length2
Mean length1.7423313
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 229
70.2%
3 84
 
25.8%
15 12
 
3.7%
31 1
 
0.3%

Length

2024-05-11T17:31:15.543165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:15.636571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 229
70.2%
3 84
 
25.8%
15 12
 
3.7%
31 1
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업중
229 
폐업
84 
전출
 
12
등록취소
 
1

Length

Max length4
Median length3
Mean length2.708589
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 229
70.2%
폐업 84
 
25.8%
전출 12
 
3.7%
등록취소 1
 
0.3%

Length

2024-05-11T17:31:15.739572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:16.066549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 229
70.2%
폐업 84
 
25.8%
전출 12
 
3.7%
등록취소 1
 
0.3%

폐업일자
Date

MISSING 

Distinct93
Distinct (%)96.9%
Missing230
Missing (%)70.6%
Memory size2.7 KiB
Minimum2006-01-18 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T17:31:16.175113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:31:16.286333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

전화번호
Text

MISSING 

Distinct130
Distinct (%)97.0%
Missing192
Missing (%)58.9%
Memory size2.7 KiB
2024-05-11T17:31:16.526570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.037313
Min length8

Characters and Unicode

Total characters1479
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

Unique126 ?
Unique (%)94.0%

Sample

1st row3467-9400
2nd row3703-8660
3rd row02-34453319
4th row563-4822
5th row560-9819
ValueCountFrequency (%)
02-3490-9300 2
 
1.5%
02-515-0187 2
 
1.5%
070-7162-7005 2
 
1.5%
070-8670-2618 2
 
1.5%
02-558-3625 1
 
0.7%
02-6925-6626 1
 
0.7%
02-576-7880 1
 
0.7%
02-511-7831 1
 
0.7%
02-2058-2829 1
 
0.7%
02-517-4585 1
 
0.7%
Other values (120) 120
89.6%
2024-05-11T17:31:16.857603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 253
17.1%
- 237
16.0%
2 187
12.6%
5 160
10.8%
4 116
7.8%
1 105
7.1%
7 101
 
6.8%
3 99
 
6.7%
6 86
 
5.8%
8 86
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1242
84.0%
Dash Punctuation 237
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 253
20.4%
2 187
15.1%
5 160
12.9%
4 116
9.3%
1 105
8.5%
7 101
 
8.1%
3 99
 
8.0%
6 86
 
6.9%
8 86
 
6.9%
9 49
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1479
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 253
17.1%
- 237
16.0%
2 187
12.6%
5 160
10.8%
4 116
7.8%
1 105
7.1%
7 101
 
6.8%
3 99
 
6.7%
6 86
 
5.8%
8 86
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1479
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 253
17.1%
- 237
16.0%
2 187
12.6%
5 160
10.8%
4 116
7.8%
1 105
7.1%
7 101
 
6.8%
3 99
 
6.7%
6 86
 
5.8%
8 86
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)79.2%
Missing278
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean135915.6
Minimum135502
Maximum140880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T17:31:16.978734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135502
5-th percentile135510.4
Q1135816.75
median135860
Q3135901.5
95-th percentile135953.65
Maximum140880
Range5378
Interquartile range (IQR)84.75

Descriptive statistics

Standard deviation747.22368
Coefficient of variation (CV)0.0054977034
Kurtosis43.918043
Mean135915.6
Median Absolute Deviation (MAD)43.5
Skewness6.4791537
Sum6523949
Variance558343.22
MonotonicityNot monotonic
2024-05-11T17:31:17.104084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
135517 4
 
1.2%
135856 3
 
0.9%
135882 2
 
0.6%
135893 2
 
0.6%
135509 2
 
0.6%
135891 2
 
0.6%
135839 2
 
0.6%
135816 1
 
0.3%
135864 1
 
0.3%
135818 1
 
0.3%
Other values (28) 28
 
8.6%
(Missing) 278
85.3%
ValueCountFrequency (%)
135502 1
 
0.3%
135509 2
0.6%
135513 1
 
0.3%
135517 4
1.2%
135526 1
 
0.3%
135766 1
 
0.3%
135814 1
 
0.3%
135816 1
 
0.3%
135817 1
 
0.3%
135818 1
 
0.3%
ValueCountFrequency (%)
140880 1
0.3%
135998 1
0.3%
135954 1
0.3%
135953 1
0.3%
135952 1
0.3%
135951 1
0.3%
135943 1
0.3%
135937 1
0.3%
135934 1
0.3%
135929 1
0.3%

지번주소
Text

Distinct254
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T17:31:17.372888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.276074
Min length17

Characters and Unicode

Total characters8566
Distinct characters230
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)67.2%

Sample

1st row서울특별시 강남구 역삼동 ***-**번지
2nd row서울특별시 강남구 논현동 ***-**번지 진영빌딩 *층
3rd row서울특별시 강남구 삼성동 ***-**번지 경암빌딩 **층
4th row서울특별시 강남구 역삼동 ***번지 아세아타워빌딩 *층
5th row서울특별시 강남구 도곡동 ***-**번지
ValueCountFrequency (%)
서울특별시 326
20.0%
강남구 325
19.9%
번지 195
12.0%
136
8.3%
논현동 96
 
5.9%
역삼동 68
 
4.2%
층 64
 
3.9%
삼성동 46
 
2.8%
신사동 42
 
2.6%
호 33
 
2.0%
Other values (209) 299
18.3%
2024-05-11T17:31:17.760753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1634
19.1%
1538
18.0%
동 338
 
3.9%
남 335
 
3.9%
강 333
 
3.9%
서 332
 
3.9%
구 329
 
3.8%
시 327
 
3.8%
울 327
 
3.8%
특 326
 
3.8%
Other values (220) 2747
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5058
59.0%
Other Punctuation 1637
 
19.1%
Space Separator 1538
 
18.0%
Dash Punctuation 292
 
3.4%
Uppercase Letter 39
 
0.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 338
 
6.7%
남 335
 
6.6%
강 333
 
6.6%
서 332
 
6.6%
구 329
 
6.5%
시 327
 
6.5%
울 327
 
6.5%
특 326
 
6.4%
별 326
 
6.4%
지 204
 
4.0%
Other values (195) 1881
37.2%
Uppercase Letter
ValueCountFrequency (%)
I 8
20.5%
O 4
10.3%
B 3
 
7.7%
C 3
 
7.7%
H 3
 
7.7%
S 2
 
5.1%
D 2
 
5.1%
R 2
 
5.1%
W 2
 
5.1%
Y 2
 
5.1%
Other values (8) 8
20.5%
Other Punctuation
ValueCountFrequency (%)
* 1634
99.8%
, 2
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5058
59.0%
Common 3469
40.5%
Latin 39
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 338
 
6.7%
남 335
 
6.6%
강 333
 
6.6%
서 332
 
6.6%
구 329
 
6.5%
시 327
 
6.5%
울 327
 
6.5%
특 326
 
6.4%
별 326
 
6.4%
지 204
 
4.0%
Other values (195) 1881
37.2%
Latin
ValueCountFrequency (%)
I 8
20.5%
O 4
10.3%
B 3
 
7.7%
C 3
 
7.7%
H 3
 
7.7%
S 2
 
5.1%
D 2
 
5.1%
R 2
 
5.1%
W 2
 
5.1%
Y 2
 
5.1%
Other values (8) 8
20.5%
Common
ValueCountFrequency (%)
* 1634
47.1%
1538
44.3%
- 292
 
8.4%
, 2
 
0.1%
) 1
 
< 0.1%
( 1
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5058
59.0%
ASCII 3508
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1634
46.6%
1538
43.8%
- 292
 
8.3%
I 8
 
0.2%
O 4
 
0.1%
B 3
 
0.1%
C 3
 
0.1%
H 3
 
0.1%
S 2
 
0.1%
D 2
 
0.1%
Other values (15) 19
 
0.5%
Hangul
ValueCountFrequency (%)
동 338
 
6.7%
남 335
 
6.6%
강 333
 
6.6%
서 332
 
6.6%
구 329
 
6.5%
시 327
 
6.5%
울 327
 
6.5%
특 326
 
6.4%
별 326
 
6.4%
지 204
 
4.0%
Other values (195) 1881
37.2%

도로명주소
Text

Distinct294
Distinct (%)90.5%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2024-05-11T17:31:17.952806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length33.403077
Min length23

Characters and Unicode

Total characters10856
Distinct characters251
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

Unique269 ?
Unique (%)82.8%

Sample

1st row서울특별시 강남구 역삼로 *** (역삼동, 한빛빌딩)
2nd row서울특별시 강남구 선릉로 *** (논현동,진영빌딩 *층)
3rd row서울특별시 강남구 테헤란로 *** (삼성동,경암빌딩 **층)
4th row서울특별시 강남구 논현로 *** (역삼동,아세아타워빌딩 *층)
5th row서울특별시 강남구 언주로 *** (도곡동)
ValueCountFrequency (%)
331
16.2%
서울특별시 325
15.9%
강남구 324
15.8%
층 153
 
7.5%
호 84
 
4.1%
논현동 82
 
4.0%
역삼동 53
 
2.6%
논현로***길 30
 
1.5%
신사동 30
 
1.5%
삼성동 29
 
1.4%
Other values (279) 606
29.6%
2024-05-11T17:31:18.257832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1808
 
16.7%
* 1788
 
16.5%
동 373
 
3.4%
남 353
 
3.3%
강 352
 
3.2%
, 333
 
3.1%
구 333
 
3.1%
로 333
 
3.1%
서 332
 
3.1%
( 327
 
3.0%
Other values (241) 4524
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6194
57.1%
Other Punctuation 2122
 
19.5%
Space Separator 1808
 
16.7%
Open Punctuation 327
 
3.0%
Close Punctuation 327
 
3.0%
Uppercase Letter 33
 
0.3%
Dash Punctuation 32
 
0.3%
Lowercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 373
 
6.0%
남 353
 
5.7%
강 352
 
5.7%
구 333
 
5.4%
로 333
 
5.4%
서 332
 
5.4%
시 326
 
5.3%
울 326
 
5.3%
별 325
 
5.2%
특 325
 
5.2%
Other values (210) 2816
45.5%
Uppercase Letter
ValueCountFrequency (%)
I 8
24.2%
B 5
15.2%
S 4
12.1%
O 3
 
9.1%
L 2
 
6.1%
H 2
 
6.1%
W 1
 
3.0%
J 1
 
3.0%
D 1
 
3.0%
C 1
 
3.0%
Other values (5) 5
15.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
15.4%
e 2
15.4%
r 2
15.4%
a 2
15.4%
c 1
7.7%
y 1
7.7%
t 1
7.7%
p 1
7.7%
g 1
7.7%
Other Punctuation
ValueCountFrequency (%)
* 1788
84.3%
, 333
 
15.7%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6194
57.1%
Common 4616
42.5%
Latin 46
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 373
 
6.0%
남 353
 
5.7%
강 352
 
5.7%
구 333
 
5.4%
로 333
 
5.4%
서 332
 
5.4%
시 326
 
5.3%
울 326
 
5.3%
별 325
 
5.2%
특 325
 
5.2%
Other values (210) 2816
45.5%
Latin
ValueCountFrequency (%)
I 8
17.4%
B 5
 
10.9%
S 4
 
8.7%
O 3
 
6.5%
L 2
 
4.3%
l 2
 
4.3%
e 2
 
4.3%
r 2
 
4.3%
a 2
 
4.3%
H 2
 
4.3%
Other values (14) 14
30.4%
Common
ValueCountFrequency (%)
1808
39.2%
* 1788
38.7%
, 333
 
7.2%
( 327
 
7.1%
) 327
 
7.1%
- 32
 
0.7%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6194
57.1%
ASCII 4662
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1808
38.8%
* 1788
38.4%
, 333
 
7.1%
( 327
 
7.0%
) 327
 
7.0%
- 32
 
0.7%
I 8
 
0.2%
B 5
 
0.1%
S 4
 
0.1%
O 3
 
0.1%
Other values (21) 27
 
0.6%
Hangul
ValueCountFrequency (%)
동 373
 
6.0%
남 353
 
5.7%
강 352
 
5.7%
구 333
 
5.4%
로 333
 
5.4%
서 332
 
5.4%
시 326
 
5.3%
울 326
 
5.3%
별 325
 
5.2%
특 325
 
5.2%
Other values (210) 2816
45.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)55.9%
Missing90
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean12169.191
Minimum6012
Maximum135962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T17:31:18.376888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6012
5-th percentile6026.75
Q16049
median6112
Q36194
95-th percentile6367
Maximum135962
Range129950
Interquartile range (IQR)145

Descriptive statistics

Standard deviation27394.766
Coefficient of variation (CV)2.2511576
Kurtosis16.884342
Mean12169.191
Median Absolute Deviation (MAD)66
Skewness4.32909
Sum2871929
Variance7.5047322 × 108
MonotonicityNot monotonic
2024-05-11T17:31:18.506981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6049 7
 
2.1%
6046 6
 
1.8%
6103 6
 
1.8%
6236 5
 
1.5%
6050 4
 
1.2%
6036 4
 
1.2%
6084 4
 
1.2%
6039 4
 
1.2%
6158 4
 
1.2%
6054 4
 
1.2%
Other values (122) 188
57.7%
(Missing) 90
27.6%
ValueCountFrequency (%)
6012 1
0.3%
6017 1
0.3%
6018 2
0.6%
6019 2
0.6%
6020 1
0.3%
6024 1
0.3%
6025 2
0.6%
6026 2
0.6%
6027 1
0.3%
6028 2
0.6%
ValueCountFrequency (%)
135962 3
0.9%
135934 1
 
0.3%
135925 1
 
0.3%
135919 1
 
0.3%
135887 1
 
0.3%
135840 1
 
0.3%
135824 1
 
0.3%
135539 1
 
0.3%
135080 1
 
0.3%
6367 2
0.6%

사업장명
Text

Distinct321
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-05-11T17:31:18.721326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length9.4171779
Min length2

Characters and Unicode

Total characters3070
Distinct characters334
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

Unique316 ?
Unique (%)96.9%

Sample

1st row한조물산(주)
2nd row이엠아이뮤직코리아(주)
3rd row소니픽쳐스홈엔터테인먼트코리아(주)
4th row이십세기폭스홈엔터테인먼트코리아(주)
5th row(주)우정티엔씨
ValueCountFrequency (%)
주식회사 53
 
13.1%
미디어 3
 
0.7%
주)알스컴퍼니 2
 
0.5%
엠넷미디어(주 2
 
0.5%
엔터테인먼트 2
 
0.5%
entertainment 2
 
0.5%
유한회사 2
 
0.5%
블루키노 2
 
0.5%
주)오뎃사 2
 
0.5%
헬로콘텐츠 2
 
0.5%
Other values (334) 334
82.3%
2024-05-11T17:31:19.066253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 268
 
8.7%
) 223
 
7.3%
( 223
 
7.3%
이 114
 
3.7%
스 111
 
3.6%
80
 
2.6%
디 73
 
2.4%
트 69
 
2.2%
사 65
 
2.1%
리 62
 
2.0%
Other values (324) 1782
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2447
79.7%
Close Punctuation 223
 
7.3%
Open Punctuation 223
 
7.3%
Space Separator 80
 
2.6%
Lowercase Letter 58
 
1.9%
Uppercase Letter 27
 
0.9%
Other Punctuation 6
 
0.2%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 268
 
11.0%
이 114
 
4.7%
스 111
 
4.5%
디 73
 
3.0%
트 69
 
2.8%
사 65
 
2.7%
리 62
 
2.5%
인 58
 
2.4%
회 57
 
2.3%
식 55
 
2.2%
Other values (286) 1515
61.9%
Lowercase Letter
ValueCountFrequency (%)
t 11
19.0%
e 8
13.8%
n 6
10.3%
i 5
8.6%
o 4
 
6.9%
m 4
 
6.9%
a 4
 
6.9%
d 3
 
5.2%
r 3
 
5.2%
s 2
 
3.4%
Other values (5) 8
13.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
14.8%
M 3
11.1%
L 3
11.1%
I 2
7.4%
P 2
7.4%
C 2
7.4%
A 2
7.4%
R 2
7.4%
O 2
7.4%
B 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
1 2
33.3%
9 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2447
79.7%
Common 538
 
17.5%
Latin 85
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 268
 
11.0%
이 114
 
4.7%
스 111
 
4.5%
디 73
 
3.0%
트 69
 
2.8%
사 65
 
2.7%
리 62
 
2.5%
인 58
 
2.4%
회 57
 
2.3%
식 55
 
2.2%
Other values (286) 1515
61.9%
Latin
ValueCountFrequency (%)
t 11
 
12.9%
e 8
 
9.4%
n 6
 
7.1%
i 5
 
5.9%
o 4
 
4.7%
m 4
 
4.7%
E 4
 
4.7%
a 4
 
4.7%
d 3
 
3.5%
M 3
 
3.5%
Other values (19) 33
38.8%
Common
ValueCountFrequency (%)
) 223
41.4%
( 223
41.4%
80
 
14.9%
. 4
 
0.7%
0 2
 
0.4%
1 2
 
0.4%
, 2
 
0.4%
9 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2447
79.7%
ASCII 623
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 268
 
11.0%
이 114
 
4.7%
스 111
 
4.5%
디 73
 
3.0%
트 69
 
2.8%
사 65
 
2.7%
리 62
 
2.5%
인 58
 
2.4%
회 57
 
2.3%
식 55
 
2.2%
Other values (286) 1515
61.9%
ASCII
ValueCountFrequency (%)
) 223
35.8%
( 223
35.8%
80
 
12.8%
t 11
 
1.8%
e 8
 
1.3%
n 6
 
1.0%
i 5
 
0.8%
o 4
 
0.6%
. 4
 
0.6%
m 4
 
0.6%
Other values (28) 55
 
8.8%

최종수정일자
Date

UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2006-07-21 11:47:49
Maximum2024-04-22 16:03:56
2024-05-11T17:31:19.187725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:31:19.293304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
I
234 
U
92 

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 234
71.8%
U 92
 
28.2%

Length

2024-05-11T17:31:19.400088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:19.485223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 234
71.8%
u 92
 
28.2%

데이터갱신일자
Date

Distinct158
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T17:31:19.578752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:31:19.699346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct286
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203498.44
Minimum196678.78
Maximum209055.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T17:31:19.820381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196678.78
5-th percentile202061.42
Q1202655.98
median203240.69
Q3204348.85
95-th percentile205506.39
Maximum209055.48
Range12376.697
Interquartile range (IQR)1692.8669

Descriptive statistics

Standard deviation1238.991
Coefficient of variation (CV)0.0060884546
Kurtosis5.0251898
Mean203498.44
Median Absolute Deviation (MAD)739.79833
Skewness0.62652602
Sum66340492
Variance1535098.8
MonotonicityNot monotonic
2024-05-11T17:31:19.939893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204437.7 4
 
1.2%
203588.048190661 3
 
0.9%
203118.12857079 3
 
0.9%
203169.223281406 3
 
0.9%
202072.176572517 3
 
0.9%
202940.913419566 3
 
0.9%
203761.830055095 3
 
0.9%
203125.055 3
 
0.9%
202494.429240138 3
 
0.9%
205706.879190638 2
 
0.6%
Other values (276) 296
90.8%
ValueCountFrequency (%)
196678.783699399 1
0.3%
201609.62721933 1
0.3%
201697.738228314 1
0.3%
201702.181367055 1
0.3%
201715.375406496 1
0.3%
201733.702293954 1
0.3%
201753.375869612 1
0.3%
201788.50672903 1
0.3%
201815.41236669 1
0.3%
201859.198511865 1
0.3%
ValueCountFrequency (%)
209055.480464368 1
0.3%
209052.072465426 1
0.3%
208937.760652081 1
0.3%
207215.582135648 1
0.3%
206581.787067095 2
0.6%
205886.286776047 1
0.3%
205834.057580829 1
0.3%
205808.405306351 1
0.3%
205799.523483792 1
0.3%
205706.879190638 2
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct286
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445252.18
Minimum441251.45
Maximum447305.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T17:31:20.049586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441251.45
5-th percentile442816.42
Q1444581.97
median445457.66
Q3446211.34
95-th percentile446864.36
Maximum447305.52
Range6054.0714
Interquartile range (IQR)1629.37

Descriptive statistics

Standard deviation1232.5738
Coefficient of variation (CV)0.00276826
Kurtosis0.28385432
Mean445252.18
Median Absolute Deviation (MAD)797.8707
Skewness-0.77510325
Sum1.4515221 × 108
Variance1519238.2
MonotonicityNot monotonic
2024-05-11T17:31:20.182635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446211.640000001 4
 
1.2%
446183.368328818 3
 
0.9%
446536.252846366 3
 
0.9%
444178.357261909 3
 
0.9%
445585.498649988 3
 
0.9%
446374.987406876 3
 
0.9%
446867.529575555 3
 
0.9%
446027.47 3
 
0.9%
445871.873786171 3
 
0.9%
445314.750093854 2
 
0.6%
Other values (276) 296
90.8%
ValueCountFrequency (%)
441251.451660388 1
0.3%
441344.950914234 1
0.3%
441675.759025245 1
0.3%
441729.915 2
0.6%
441752.625216508 1
0.3%
442278.615 1
0.3%
442412.918318588 1
0.3%
442453.675253502 1
0.3%
442497.8 1
0.3%
442571.353540843 1
0.3%
ValueCountFrequency (%)
447305.523058661 1
0.3%
447304.209942729 1
0.3%
447247.211960019 1
0.3%
447235.795267081 1
0.3%
447197.2622116 1
0.3%
447173.224016045 1
0.3%
447045.606854141 2
0.6%
447045.206052439 1
0.3%
446953.273987688 1
0.3%
446935.535259567 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
비디오물배급업
246 
<NA>
80 

Length

Max length7
Median length7
Mean length6.2638037
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 246
75.5%
<NA> 80
 
24.5%

Length

2024-05-11T17:31:20.303305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:20.407248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 246
75.5%
na 80
 
24.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
272 
유통관련업
54 

Length

Max length5
Median length4
Mean length4.1656442
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 272
83.4%
유통관련업 54
 
16.6%

Length

2024-05-11T17:31:20.506097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:20.625047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 272
83.4%
유통관련업 54
 
16.6%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:20.742919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:20.824142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

제작취급품목내용
Text

MISSING 

Distinct80
Distinct (%)33.2%
Missing85
Missing (%)26.1%
Memory size2.7 KiB
2024-05-11T17:31:21.028036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length29
Mean length6.8755187
Min length2

Characters and Unicode

Total characters1657
Distinct characters118
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)27.8%

Sample

1st row음반,비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물배급업
ValueCountFrequency (%)
비디오물 120
35.2%
비디오물배급업 25
 
7.3%
영상물 18
 
5.3%
및 11
 
3.2%
배급 9
 
2.6%
드라마 9
 
2.6%
비디오 7
 
2.1%
영화 6
 
1.8%
광고 6
 
1.8%
광고,홍보,영상물 6
 
1.8%
Other values (92) 124
36.4%
2024-05-11T17:31:21.370543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 213
12.9%
디 176
 
10.6%
비 175
 
10.6%
오 175
 
10.6%
100
 
6.0%
영 95
 
5.7%
, 81
 
4.9%
상 75
 
4.5%
급 41
 
2.5%
배 41
 
2.5%
Other values (108) 485
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1407
84.9%
Space Separator 100
 
6.0%
Other Punctuation 81
 
4.9%
Uppercase Letter 46
 
2.8%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%
Decimal Number 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 213
15.1%
디 176
12.5%
비 175
12.4%
오 175
12.4%
영 95
 
6.8%
상 75
 
5.3%
급 41
 
2.9%
배 41
 
2.9%
업 35
 
2.5%
광 22
 
1.6%
Other values (89) 359
25.5%
Uppercase Letter
ValueCountFrequency (%)
D 18
39.1%
V 13
28.3%
T 3
 
6.5%
O 3
 
6.5%
C 2
 
4.3%
F 2
 
4.3%
P 2
 
4.3%
I 1
 
2.2%
R 1
 
2.2%
M 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
6 1
 
14.3%
0 1
 
14.3%
4 1
 
14.3%
2 1
 
14.3%
Space Separator
ValueCountFrequency (%)
100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1407
84.9%
Common 204
 
12.3%
Latin 46
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 213
15.1%
디 176
12.5%
비 175
12.4%
오 175
12.4%
영 95
 
6.8%
상 75
 
5.3%
급 41
 
2.9%
배 41
 
2.9%
업 35
 
2.5%
광 22
 
1.6%
Other values (89) 359
25.5%
Latin
ValueCountFrequency (%)
D 18
39.1%
V 13
28.3%
T 3
 
6.5%
O 3
 
6.5%
C 2
 
4.3%
F 2
 
4.3%
P 2
 
4.3%
I 1
 
2.2%
R 1
 
2.2%
M 1
 
2.2%
Common
ValueCountFrequency (%)
100
49.0%
, 81
39.7%
) 8
 
3.9%
( 8
 
3.9%
3 3
 
1.5%
6 1
 
0.5%
0 1
 
0.5%
4 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1406
84.9%
ASCII 250
 
15.1%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 213
15.1%
디 176
12.5%
비 175
12.4%
오 175
12.4%
영 95
 
6.8%
상 75
 
5.3%
급 41
 
2.9%
배 41
 
2.9%
업 35
 
2.5%
광 22
 
1.6%
Other values (88) 358
25.5%
ASCII
ValueCountFrequency (%)
100
40.0%
, 81
32.4%
D 18
 
7.2%
V 13
 
5.2%
) 8
 
3.2%
( 8
 
3.2%
T 3
 
1.2%
3 3
 
1.2%
O 3
 
1.2%
C 2
 
0.8%
Other values (9) 11
 
4.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)60.4%
Missing167
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean124.24843
Minimum0
Maximum3152
Zeros24
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-11T17:31:21.488596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median42.28
Q3151
95-th percentile446.182
Maximum3152
Range3152
Interquartile range (IQR)150

Descriptive statistics

Standard deviation289.3047
Coefficient of variation (CV)2.3284375
Kurtosis76.698032
Mean124.24843
Median Absolute Deviation (MAD)42.28
Skewness7.7117261
Sum19755.5
Variance83697.211
MonotonicityNot monotonic
2024-05-11T17:31:21.849897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 27
 
8.3%
0.0 24
 
7.4%
10.0 5
 
1.5%
60.0 3
 
0.9%
75.0 2
 
0.6%
120.0 2
 
0.6%
50.73 2
 
0.6%
132.0 2
 
0.6%
9.9 2
 
0.6%
3.3 2
 
0.6%
Other values (86) 88
27.0%
(Missing) 167
51.2%
ValueCountFrequency (%)
0.0 24
7.4%
1.0 27
8.3%
1.44 1
 
0.3%
3.0 1
 
0.3%
3.3 2
 
0.6%
4.65 2
 
0.6%
6.5 1
 
0.3%
9.9 2
 
0.6%
10.0 5
 
1.5%
11.0 1
 
0.3%
ValueCountFrequency (%)
3152.0 1
0.3%
839.26 1
0.3%
829.76 2
0.6%
664.36 1
0.3%
533.0 1
0.3%
474.0 1
0.3%
464.92 1
0.3%
444.1 1
0.3%
385.2 1
0.3%
382.8 1
0.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:21.997279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:22.100212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:22.193043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:22.276403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing325
Missing (%)99.7%
Memory size2.7 KiB
2024-05-11T17:31:22.374082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T17:31:22.601584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:22.721495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:22.825618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:22.921076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:23.004599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:23.093810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:23.193626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:23.327610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:23.420184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
308 
0
 
18

Length

Max length4
Median length4
Mean length3.8343558
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> 308
94.5%
0 18
 
5.5%

Length

2024-05-11T17:31:23.522737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:31:23.618821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
94.5%
0 18
 
5.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing326
Missing (%)100.0%
Memory size3.0 KiB

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing325
Missing (%)99.7%
Memory size2.7 KiB
2024-05-11T17:31:23.708474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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 (%)100.0%

Sample

1st row상업지역
ValueCountFrequency (%)
상업지역 1
100.0%
2024-05-11T17:31:23.902553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
25.0%
업 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF124111199800000119980929<NA>3폐업3폐업20131219<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**번지서울특별시 강남구 역삼로 *** (역삼동, 한빛빌딩)135925한조물산(주)2013-12-19 16:18:31I2018-08-31 23:59:59.0<NA>203345.009842443748.211336비디오물배급업<NA><NA><NA>음반,비디오물<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>
13220000CDFF124111199900000119991213<NA>3폐업3폐업20090227<NA><NA><NA>3467-9400<NA>135833서울특별시 강남구 논현동 ***-**번지 진영빌딩 *층서울특별시 강남구 선릉로 *** (논현동,진영빌딩 *층)<NA>이엠아이뮤직코리아(주)2009-02-27 17:14:25I2018-08-31 23:59:59.0<NA>203736.905005445476.2982비디오물배급업<NA><NA><NA>비디오물<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>
23220000CDFF124111199900000219990621<NA>1영업/정상13영업중<NA><NA><NA><NA>3703-8660<NA>135526서울특별시 강남구 삼성동 ***-**번지 경암빌딩 **층서울특별시 강남구 테헤란로 *** (삼성동,경암빌딩 **층)<NA>소니픽쳐스홈엔터테인먼트코리아(주)2007-03-08 20:53:56I2018-08-31 23:59:59.0<NA>204947.90904445035.104597비디오물배급업유통관련업<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>
33220000CDFF124111199900000319990728<NA>3폐업3폐업20080324<NA><NA><NA><NA><NA>135921서울특별시 강남구 역삼동 ***번지 아세아타워빌딩 *층서울특별시 강남구 논현로 *** (역삼동,아세아타워빌딩 *층)<NA>이십세기폭스홈엔터테인먼트코리아(주)2008-03-24 17:37:40I2018-08-31 23:59:59.0<NA>203322.98339444096.332399비디오물배급업유통관련업<NA><NA>비디오물<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>
43220000CDFF124111199900000419990606<NA>3폐업3폐업20080731<NA><NA><NA><NA><NA>135856서울특별시 강남구 도곡동 ***-**번지서울특별시 강남구 언주로 *** (도곡동)<NA>(주)우정티엔씨2008-07-31 18:17:15I2018-08-31 23:59:59.0<NA>204463.672146442729.658559비디오물배급업유통관련업<NA><NA>비디오물<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>
53220000CDFF124111199900000619991210<NA>3폐업3폐업20081014<NA><NA><NA>02-34453319<NA><NA>서울특별시 강남구 삼성동 **-**번지서울특별시 강남구 봉은사로 *** (삼성동)<NA>이십일세기엔터테인먼트2011-10-21 15:51:15I2018-08-31 23:59:59.0<NA>204139.390974445500.712453비디오물배급업<NA><NA><NA>비디오물배급업0.0<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>
63220000CDFF124111199900000819990702<NA>3폐업3폐업20130628<NA><NA><NA>563-4822<NA><NA>서울특별시 강남구 역삼동 ***-**번지 씨올빌딩 ***호서울특별시 강남구 선릉로**길 * (역삼동)135919동양기획2013-06-28 10:26:44I2018-08-31 23:59:59.0<NA>204243.5444581.82비디오물배급업<NA><NA><NA>비디오물<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>
73220000CDFF124111199900000919991027<NA>3폐업3폐업20171208<NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 ***번지 로즈데일오피스텔서울특별시 강남구 광평로 ***, 로즈데일오피스텔 ****호 (수서동)6367(주)파스픽브리지2017-12-08 10:51:35I2018-08-31 23:59:59.0<NA>209052.072465442797.138151비디오물배급업<NA><NA><NA>비디오물<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>
83220000CDFF124111200000000120000120<NA>3폐업3폐업20080304<NA><NA><NA>560-9819<NA>135876서울특별시 강남구 삼성동 ***-**번지 보광빌딩 *층서울특별시 강남구 테헤란로 *** (삼성동,보광빌딩 *층)<NA>(주)한국문화진흥2008-03-04 17:03:30I2018-08-31 23:59:59.0<NA>204333.137878444788.050526비디오물배급업유통관련업<NA><NA>비디오물<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>
93220000CDFF124111200000000220001011<NA>3폐업3폐업20080402<NA><NA><NA>3487-7307<NA>135829서울특별시 강남구 논현동 ***-*번지 히아빌딩 *층서울특별시 강남구 논현로 ***-* (논현동,히아빌딩 *층)<NA>(주)씨앤씨프로덕션2008-04-02 14:25:01I2018-08-31 23:59:59.0<NA>202783.921294445515.701915비디오물배급업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3163220000CDFF12411120230000162023-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 ***-**서울특별시 강남구 테헤란로**길 **, **호 (대치동)6178주식회사 폭스미디어2023-11-27 11:15:54I2022-10-31 22:09:00.0<NA>205079.418138444869.834721<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>
3173220000CDFF12411120230000172023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 ***-**서울특별시 강남구 선릉로***길 *, *층 (논현동)6099주식회사 브이닷2023-12-19 16:51:19I2022-11-01 22:01:00.0<NA>203576.452546445943.125127<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>
3183220000CDFF12411120240000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 언주로**길 **, *층 (역삼동)6147주식회사 매직영상2024-01-05 09:38:12I2023-12-01 00:07:00.0<NA>203716.67367444738.6775<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>
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