Overview

Dataset statistics

Number of variables56
Number of observations299
Missing cells8581
Missing cells (%)51.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory142.3 KiB
Average record size in memory487.4 B

Variable types

Categorical16
Text8
DateTime4
Unsupported23
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17815/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (79.8%)Imbalance
지상층수 is highly imbalanced (82.1%)Imbalance
지하층수 is highly imbalanced (73.0%)Imbalance
통로너비 is highly imbalanced (71.3%)Imbalance
조명시설조도 is highly imbalanced (71.3%)Imbalance
노래방실수 is highly imbalanced (71.3%)Imbalance
청소년실수 is highly imbalanced (71.3%)Imbalance
총게임기수 is highly imbalanced (71.3%)Imbalance
인허가취소일자 has 299 (100.0%) missing valuesMissing
폐업일자 has 245 (81.9%) missing valuesMissing
휴업시작일자 has 299 (100.0%) missing valuesMissing
휴업종료일자 has 299 (100.0%) missing valuesMissing
재개업일자 has 299 (100.0%) missing valuesMissing
전화번호 has 189 (63.2%) missing valuesMissing
소재지면적 has 299 (100.0%) missing valuesMissing
소재지우편번호 has 291 (97.3%) missing valuesMissing
도로명주소 has 3 (1.0%) missing valuesMissing
도로명우편번호 has 13 (4.3%) missing valuesMissing
업태구분명 has 299 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.0%) missing valuesMissing
좌표정보(Y) has 3 (1.0%) missing valuesMissing
주변환경명 has 299 (100.0%) missing valuesMissing
제작취급품목내용 has 151 (50.5%) missing valuesMissing
시설면적 has 215 (71.9%) missing valuesMissing
건물용도명 has 295 (98.7%) missing valuesMissing
비상계단여부 has 299 (100.0%) missing valuesMissing
비상구여부 has 299 (100.0%) missing valuesMissing
자동환기여부 has 299 (100.0%) missing valuesMissing
청소년실여부 has 299 (100.0%) missing valuesMissing
특수조명여부 has 299 (100.0%) missing valuesMissing
방음시설여부 has 299 (100.0%) missing valuesMissing
비디오재생기명 has 299 (100.0%) missing valuesMissing
조명시설유무 has 299 (100.0%) missing valuesMissing
음향시설여부 has 299 (100.0%) missing valuesMissing
편의시설여부 has 299 (100.0%) missing valuesMissing
소방시설여부 has 299 (100.0%) missing valuesMissing
기존게임업외업종명 has 299 (100.0%) missing valuesMissing
제공게임물명 has 299 (100.0%) missing valuesMissing
공연장형태구분명 has 299 (100.0%) missing valuesMissing
품목명 has 299 (100.0%) missing valuesMissing
최초등록시점 has 299 (100.0%) missing valuesMissing
지역구분명 has 296 (99.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 22 (7.4%) zerosZeros

Reproduction

Analysis started2024-05-11 04:29:10.049578
Analysis finished2024-05-11 04:29:12.101566
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3130000
299 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3130000 299
100.0%

Length

2024-05-11T04:29:12.374955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:12.732699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 299
100.0%

관리번호
Text

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T04:29:13.270908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5980
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

Unique299 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061996000001
2nd rowCDFF3241062000000001
3rd rowCDFF3241062000000002
4th rowCDFF3241062001000001
5th rowCDFF3241062001000002
ValueCountFrequency (%)
cdff3241061996000001 1
 
0.3%
cdff3241062021000004 1
 
0.3%
cdff3241062021000002 1
 
0.3%
cdff3241062021000001 1
 
0.3%
cdff3241062020000033 1
 
0.3%
cdff3241062020000032 1
 
0.3%
cdff3241062020000031 1
 
0.3%
cdff3241062020000030 1
 
0.3%
cdff3241062020000029 1
 
0.3%
cdff3241062020000028 1
 
0.3%
Other values (289) 289
96.7%
2024-05-11T04:29:14.371022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2041
34.1%
2 883
14.8%
F 598
 
10.0%
1 582
 
9.7%
3 400
 
6.7%
4 355
 
5.9%
6 351
 
5.9%
C 299
 
5.0%
D 299
 
5.0%
9 54
 
0.9%
Other values (3) 118
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4784
80.0%
Uppercase Letter 1196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2041
42.7%
2 883
18.5%
1 582
 
12.2%
3 400
 
8.4%
4 355
 
7.4%
6 351
 
7.3%
9 54
 
1.1%
7 42
 
0.9%
8 40
 
0.8%
5 36
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 598
50.0%
C 299
25.0%
D 299
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4784
80.0%
Latin 1196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2041
42.7%
2 883
18.5%
1 582
 
12.2%
3 400
 
8.4%
4 355
 
7.4%
6 351
 
7.3%
9 54
 
1.1%
7 42
 
0.9%
8 40
 
0.8%
5 36
 
0.8%
Latin
ValueCountFrequency (%)
F 598
50.0%
C 299
25.0%
D 299
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2041
34.1%
2 883
14.8%
F 598
 
10.0%
1 582
 
9.7%
3 400
 
6.7%
4 355
 
5.9%
6 351
 
5.9%
C 299
 
5.0%
D 299
 
5.0%
9 54
 
0.9%
Other values (3) 118
 
2.0%

인허가일자
Date

Distinct275
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1996-09-30 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T04:29:14.867993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:29:15.431556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
244 
3
43 
5
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 244
81.6%
3 43
 
14.4%
5 12
 
4.0%

Length

2024-05-11T04:29:16.014384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:16.449503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 244
81.6%
3 43
 
14.4%
5 12
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
244 
폐업
43 
제외/삭제/전출
 
12

Length

Max length8
Median length5
Mean length4.6889632
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 244
81.6%
폐업 43
 
14.4%
제외/삭제/전출 12
 
4.0%

Length

2024-05-11T04:29:16.950852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:17.289394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 244
81.6%
폐업 43
 
14.4%
제외/삭제/전출 12
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
244 
3
43 
15
 
12

Length

Max length2
Median length2
Mean length1.8561873
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 244
81.6%
3 43
 
14.4%
15 12
 
4.0%

Length

2024-05-11T04:29:17.746432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:18.201048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 244
81.6%
3 43
 
14.4%
15 12
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
244 
폐업
43 
전출
 
12

Length

Max length3
Median length3
Mean length2.8160535
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 244
81.6%
폐업 43
 
14.4%
전출 12
 
4.0%

Length

2024-05-11T04:29:18.688637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:18.997038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 244
81.6%
폐업 43
 
14.4%
전출 12
 
4.0%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)96.3%
Missing245
Missing (%)81.9%
Memory size2.5 KiB
Minimum2007-05-22 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T04:29:19.345544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:29:19.855485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct106
Distinct (%)96.4%
Missing189
Missing (%)63.2%
Memory size2.5 KiB
2024-05-11T04:29:20.440947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length11.172727
Min length8

Characters and Unicode

Total characters1229
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)92.7%

Sample

1st row333-8743
2nd row02-3142-2735
3rd row322-7111
4th row322-5491
5th row3401-8291
ValueCountFrequency (%)
02-3490-9300 2
 
1.8%
02-6401-3456 2
 
1.8%
070-7716-6432 2
 
1.8%
02-517-3985 2
 
1.8%
02-323-3663 1
 
0.9%
02-2138-1513 1
 
0.9%
02-332-8562 1
 
0.9%
070-4794-5826 1
 
0.9%
02-324-5148 1
 
0.9%
02-6413-3500 1
 
0.9%
Other values (96) 96
87.3%
2024-05-11T04:29:21.734129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
15.9%
- 190
15.5%
2 150
12.2%
3 148
12.0%
7 97
7.9%
1 97
7.9%
4 83
6.8%
6 78
 
6.3%
5 66
 
5.4%
8 66
 
5.4%
Other values (3) 58
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1037
84.4%
Dash Punctuation 190
 
15.5%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
18.9%
2 150
14.5%
3 148
14.3%
7 97
9.4%
1 97
9.4%
4 83
8.0%
6 78
 
7.5%
5 66
 
6.4%
8 66
 
6.4%
9 56
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
15.9%
- 190
15.5%
2 150
12.2%
3 148
12.0%
7 97
7.9%
1 97
7.9%
4 83
6.8%
6 78
 
6.3%
5 66
 
5.4%
8 66
 
5.4%
Other values (3) 58
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
15.9%
- 190
15.5%
2 150
12.2%
3 148
12.0%
7 97
7.9%
1 97
7.9%
4 83
6.8%
6 78
 
6.3%
5 66
 
5.4%
8 66
 
5.4%
Other values (3) 58
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing291
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean123555.5
Minimum121240
Maximum136055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T04:29:22.250685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121240
5-th percentile121430.4
Q1121817
median121872.5
Q3121896
95-th percentile131099.35
Maximum136055
Range14815
Interquartile range (IQR)79

Descriptive statistics

Standard deviation5055.3308
Coefficient of variation (CV)0.040915466
Kurtosis7.9553442
Mean123555.5
Median Absolute Deviation (MAD)34
Skewness2.8175532
Sum988444
Variance25556370
MonotonicityNot monotonic
2024-05-11T04:29:22.772797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
121896 2
 
0.7%
121883 1
 
0.3%
136055 1
 
0.3%
121828 1
 
0.3%
121862 1
 
0.3%
121240 1
 
0.3%
121784 1
 
0.3%
(Missing) 291
97.3%
ValueCountFrequency (%)
121240 1
0.3%
121784 1
0.3%
121828 1
0.3%
121862 1
0.3%
121883 1
0.3%
121896 2
0.7%
136055 1
0.3%
ValueCountFrequency (%)
136055 1
0.3%
121896 2
0.7%
121883 1
0.3%
121862 1
0.3%
121828 1
0.3%
121784 1
0.3%
121240 1
0.3%

지번주소
Text

Distinct221
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T04:29:23.446048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length25.658863
Min length17

Characters and Unicode

Total characters7672
Distinct characters226
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

Unique187 ?
Unique (%)62.5%

Sample

1st row서울특별시 마포구 서교동 ***-*번지
2nd row서울특별시 마포구 서교동 ***-**번지 *층
3rd row서울특별시 마포구 합정동 ***-*번지
4th row서울특별시 마포구 서교동 ***-**번지
5th row서울특별시 마포구 서교동 ***-**번지 예랑빌딩 *층
ValueCountFrequency (%)
서울특별시 299
20.2%
마포구 298
20.2%
번지 156
10.6%
138
9.3%
서교동 86
 
5.8%
층 47
 
3.2%
호 41
 
2.8%
합정동 39
 
2.6%
상암동 37
 
2.5%
성산동 30
 
2.0%
Other values (165) 307
20.8%
2024-05-11T04:29:24.942801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1500
19.6%
1337
17.4%
서 391
 
5.1%
동 330
 
4.3%
마 313
 
4.1%
포 306
 
4.0%
구 305
 
4.0%
시 302
 
3.9%
울 302
 
3.9%
특 300
 
3.9%
Other values (216) 2286
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4439
57.9%
Other Punctuation 1505
 
19.6%
Space Separator 1337
 
17.4%
Dash Punctuation 256
 
3.3%
Uppercase Letter 88
 
1.1%
Decimal Number 22
 
0.3%
Lowercase Letter 17
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 391
 
8.8%
동 330
 
7.4%
마 313
 
7.1%
포 306
 
6.9%
구 305
 
6.9%
시 302
 
6.8%
울 302
 
6.8%
특 300
 
6.8%
별 299
 
6.7%
지 193
 
4.3%
Other values (170) 1398
31.5%
Uppercase Letter
ValueCountFrequency (%)
C 13
14.8%
M 9
10.2%
D 8
 
9.1%
E 7
 
8.0%
T 6
 
6.8%
B 6
 
6.8%
R 5
 
5.7%
A 4
 
4.5%
S 4
 
4.5%
P 4
 
4.5%
Other values (12) 22
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
18.2%
2 4
18.2%
5 3
13.6%
8 3
13.6%
7 2
9.1%
3 2
9.1%
4 2
9.1%
0 1
 
4.5%
6 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
h 3
17.6%
o 2
 
11.8%
u 2
 
11.8%
s 2
 
11.8%
l 1
 
5.9%
a 1
 
5.9%
n 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 1500
99.7%
, 4
 
0.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4439
57.9%
Common 3128
40.8%
Latin 105
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 391
 
8.8%
동 330
 
7.4%
마 313
 
7.1%
포 306
 
6.9%
구 305
 
6.9%
시 302
 
6.8%
울 302
 
6.8%
특 300
 
6.8%
별 299
 
6.7%
지 193
 
4.3%
Other values (170) 1398
31.5%
Latin
ValueCountFrequency (%)
C 13
 
12.4%
M 9
 
8.6%
D 8
 
7.6%
E 7
 
6.7%
T 6
 
5.7%
B 6
 
5.7%
e 5
 
4.8%
R 5
 
4.8%
A 4
 
3.8%
S 4
 
3.8%
Other values (20) 38
36.2%
Common
ValueCountFrequency (%)
* 1500
48.0%
1337
42.7%
- 256
 
8.2%
( 4
 
0.1%
, 4
 
0.1%
) 4
 
0.1%
1 4
 
0.1%
2 4
 
0.1%
5 3
 
0.1%
8 3
 
0.1%
Other values (6) 9
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4439
57.9%
ASCII 3233
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1500
46.4%
1337
41.4%
- 256
 
7.9%
C 13
 
0.4%
M 9
 
0.3%
D 8
 
0.2%
E 7
 
0.2%
T 6
 
0.2%
B 6
 
0.2%
e 5
 
0.2%
Other values (36) 86
 
2.7%
Hangul
ValueCountFrequency (%)
서 391
 
8.8%
동 330
 
7.4%
마 313
 
7.1%
포 306
 
6.9%
구 305
 
6.9%
시 302
 
6.8%
울 302
 
6.8%
특 300
 
6.8%
별 299
 
6.7%
지 193
 
4.3%
Other values (170) 1398
31.5%

도로명주소
Text

MISSING 

Distinct269
Distinct (%)90.9%
Missing3
Missing (%)1.0%
Memory size2.5 KiB
2024-05-11T04:29:25.635611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length33.584459
Min length22

Characters and Unicode

Total characters9941
Distinct characters248
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)83.4%

Sample

1st row서울특별시 마포구 잔다리로 *** (서교동)
2nd row서울특별시 마포구 와우산로**길 **, *층 (서교동)
3rd row서울특별시 마포구 잔다리로 ** (서교동)
4th row서울특별시 마포구 잔다리로 ** (서교동,예랑빌딩 *층)
5th row서울특별시 마포구 희우정로*길 * (합정동)
ValueCountFrequency (%)
서울특별시 296
15.0%
마포구 295
15.0%
292
14.8%
층 142
 
7.2%
호 98
 
5.0%
서교동 84
 
4.3%
합정동 38
 
1.9%
상암동 37
 
1.9%
성산동 29
 
1.5%
월드컵북로 23
 
1.2%
Other values (269) 637
32.3%
2024-05-11T04:29:26.837493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1684
16.9%
* 1454
 
14.6%
서 392
 
3.9%
동 383
 
3.9%
, 349
 
3.5%
마 330
 
3.3%
포 321
 
3.2%
울 309
 
3.1%
구 301
 
3.0%
시 300
 
3.0%
Other values (238) 4118
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5673
57.1%
Other Punctuation 1804
 
18.1%
Space Separator 1684
 
16.9%
Open Punctuation 298
 
3.0%
Close Punctuation 298
 
3.0%
Uppercase Letter 94
 
0.9%
Dash Punctuation 55
 
0.6%
Decimal Number 29
 
0.3%
Lowercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 392
 
6.9%
동 383
 
6.8%
마 330
 
5.8%
포 321
 
5.7%
울 309
 
5.4%
구 301
 
5.3%
시 300
 
5.3%
별 297
 
5.2%
특 297
 
5.2%
로 291
 
5.1%
Other values (197) 2452
43.2%
Uppercase Letter
ValueCountFrequency (%)
C 18
19.1%
M 9
9.6%
B 9
9.6%
D 8
 
8.5%
E 7
 
7.4%
T 6
 
6.4%
S 5
 
5.3%
R 4
 
4.3%
L 4
 
4.3%
K 3
 
3.2%
Other values (11) 21
22.3%
Decimal Number
ValueCountFrequency (%)
1 5
17.2%
2 5
17.2%
4 4
13.8%
3 4
13.8%
0 4
13.8%
8 3
10.3%
5 2
 
6.9%
6 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
* 1454
80.6%
, 349
 
19.3%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
60.0%
h 1
 
20.0%
b 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1684
100.0%
Open Punctuation
ValueCountFrequency (%)
( 298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5673
57.1%
Common 4169
41.9%
Latin 99
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 392
 
6.9%
동 383
 
6.8%
마 330
 
5.8%
포 321
 
5.7%
울 309
 
5.4%
구 301
 
5.3%
시 300
 
5.3%
별 297
 
5.2%
특 297
 
5.2%
로 291
 
5.1%
Other values (197) 2452
43.2%
Latin
ValueCountFrequency (%)
C 18
18.2%
M 9
 
9.1%
B 9
 
9.1%
D 8
 
8.1%
E 7
 
7.1%
T 6
 
6.1%
S 5
 
5.1%
R 4
 
4.0%
L 4
 
4.0%
K 3
 
3.0%
Other values (14) 26
26.3%
Common
ValueCountFrequency (%)
1684
40.4%
* 1454
34.9%
, 349
 
8.4%
( 298
 
7.1%
) 298
 
7.1%
- 55
 
1.3%
1 5
 
0.1%
2 5
 
0.1%
4 4
 
0.1%
3 4
 
0.1%
Other values (7) 13
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5673
57.1%
ASCII 4268
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1684
39.5%
* 1454
34.1%
, 349
 
8.2%
( 298
 
7.0%
) 298
 
7.0%
- 55
 
1.3%
C 18
 
0.4%
M 9
 
0.2%
B 9
 
0.2%
D 8
 
0.2%
Other values (31) 86
 
2.0%
Hangul
ValueCountFrequency (%)
서 392
 
6.9%
동 383
 
6.8%
마 330
 
5.8%
포 321
 
5.7%
울 309
 
5.4%
구 301
 
5.3%
시 300
 
5.3%
별 297
 
5.2%
특 297
 
5.2%
로 291
 
5.1%
Other values (197) 2452
43.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)43.0%
Missing13
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean5666.8776
Minimum2829
Maximum121842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T04:29:27.459293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2829
5-th percentile3920
Q13978
median4030
Q34067.75
95-th percentile4162
Maximum121842
Range119013
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation13860.039
Coefficient of variation (CV)2.4457981
Kurtosis67.706268
Mean5666.8776
Median Absolute Deviation (MAD)43
Skewness8.3204118
Sum1620727
Variance1.9210067 × 108
MonotonicityNot monotonic
2024-05-11T04:29:28.019270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4031 9
 
3.0%
3925 9
 
3.0%
4030 8
 
2.7%
4072 8
 
2.7%
3909 7
 
2.3%
3966 7
 
2.3%
4047 7
 
2.3%
3923 6
 
2.0%
3992 6
 
2.0%
4083 6
 
2.0%
Other values (113) 213
71.2%
(Missing) 13
 
4.3%
ValueCountFrequency (%)
2829 1
 
0.3%
3902 1
 
0.3%
3908 2
 
0.7%
3909 7
2.3%
3920 6
2.0%
3923 6
2.0%
3925 9
3.0%
3926 2
 
0.7%
3929 1
 
0.3%
3930 3
 
1.0%
ValueCountFrequency (%)
121842 2
0.7%
121829 1
0.3%
121828 1
0.3%
4207 1
0.3%
4193 1
0.3%
4177 1
0.3%
4174 1
0.3%
4168 1
0.3%
4167 1
0.3%
4165 2
0.7%

사업장명
Text

Distinct294
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T04:29:28.825483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length26
Mean length10.110368
Min length2

Characters and Unicode

Total characters3023
Distinct characters375
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

Unique289 ?
Unique (%)96.7%

Sample

1st row신촌뮤직
2nd row메타복스
3rd row(주)홍성사
4th row(주)뮤직엔필름컴퍼니
5th row(주)캔디엔터테인먼트
ValueCountFrequency (%)
주식회사 100
 
19.7%
엔터테인먼트 9
 
1.8%
co 5
 
1.0%
뮤직 5
 
1.0%
ltd 5
 
1.0%
레코드 4
 
0.8%
컴퍼니 4
 
0.8%
주 4
 
0.8%
studio 3
 
0.6%
스튜디오 3
 
0.6%
Other values (353) 365
72.0%
2024-05-11T04:29:30.076170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
6.9%
주 160
 
5.3%
사 119
 
3.9%
식 105
 
3.5%
회 104
 
3.4%
) 94
 
3.1%
( 94
 
3.1%
이 93
 
3.1%
스 72
 
2.4%
트 64
 
2.1%
Other values (365) 1910
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2241
74.1%
Space Separator 208
 
6.9%
Uppercase Letter 199
 
6.6%
Lowercase Letter 162
 
5.4%
Close Punctuation 94
 
3.1%
Open Punctuation 94
 
3.1%
Other Punctuation 21
 
0.7%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 160
 
7.1%
사 119
 
5.3%
식 105
 
4.7%
회 104
 
4.6%
이 93
 
4.1%
스 72
 
3.2%
트 64
 
2.9%
터 46
 
2.1%
인 46
 
2.1%
엔 46
 
2.1%
Other values (311) 1386
61.8%
Uppercase Letter
ValueCountFrequency (%)
O 19
 
9.5%
E 17
 
8.5%
I 14
 
7.0%
L 14
 
7.0%
R 13
 
6.5%
C 13
 
6.5%
S 13
 
6.5%
T 10
 
5.0%
N 10
 
5.0%
B 10
 
5.0%
Other values (14) 66
33.2%
Lowercase Letter
ValueCountFrequency (%)
e 19
11.7%
t 17
10.5%
n 17
10.5%
i 15
9.3%
o 15
9.3%
a 14
8.6%
r 9
 
5.6%
m 8
 
4.9%
u 8
 
4.9%
s 8
 
4.9%
Other values (9) 32
19.8%
Other Punctuation
ValueCountFrequency (%)
. 13
61.9%
, 4
 
19.0%
' 3
 
14.3%
& 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
9 1
25.0%
1 1
25.0%
8 1
25.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2241
74.1%
Common 421
 
13.9%
Latin 361
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 160
 
7.1%
사 119
 
5.3%
식 105
 
4.7%
회 104
 
4.6%
이 93
 
4.1%
스 72
 
3.2%
트 64
 
2.9%
터 46
 
2.1%
인 46
 
2.1%
엔 46
 
2.1%
Other values (311) 1386
61.8%
Latin
ValueCountFrequency (%)
O 19
 
5.3%
e 19
 
5.3%
t 17
 
4.7%
n 17
 
4.7%
E 17
 
4.7%
i 15
 
4.2%
o 15
 
4.2%
I 14
 
3.9%
a 14
 
3.9%
L 14
 
3.9%
Other values (33) 200
55.4%
Common
ValueCountFrequency (%)
208
49.4%
) 94
22.3%
( 94
22.3%
. 13
 
3.1%
, 4
 
1.0%
' 3
 
0.7%
2 1
 
0.2%
& 1
 
0.2%
9 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2241
74.1%
ASCII 782
 
25.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
26.6%
) 94
 
12.0%
( 94
 
12.0%
O 19
 
2.4%
e 19
 
2.4%
t 17
 
2.2%
n 17
 
2.2%
E 17
 
2.2%
i 15
 
1.9%
o 15
 
1.9%
Other values (44) 267
34.1%
Hangul
ValueCountFrequency (%)
주 160
 
7.1%
사 119
 
5.3%
식 105
 
4.7%
회 104
 
4.6%
이 93
 
4.1%
스 72
 
3.2%
트 64
 
2.9%
터 46
 
2.1%
인 46
 
2.1%
엔 46
 
2.1%
Other values (311) 1386
61.8%

최종수정일자
Date

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2006-03-24 12:35:55
Maximum2024-05-01 12:07:17
2024-05-11T04:29:30.640043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:29:31.229295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
229 
U
70 

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 229
76.6%
U 70
 
23.4%

Length

2024-05-11T04:29:31.943935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:32.414756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 229
76.6%
u 70
 
23.4%

데이터갱신일자
Date

Distinct163
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T04:29:33.096002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:29:33.835809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)83.4%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean192577.33
Minimum189409.32
Maximum201344.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T04:29:34.530237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189409.32
5-th percentile190125.56
Q1192014.2
median192652.28
Q3193146.85
95-th percentile195136.22
Maximum201344.94
Range11935.62
Interquartile range (IQR)1132.6449

Descriptive statistics

Standard deviation1402.6956
Coefficient of variation (CV)0.0072838042
Kurtosis4.8874603
Mean192577.33
Median Absolute Deviation (MAD)519.9878
Skewness0.82283956
Sum57002889
Variance1967554.8
MonotonicityNot monotonic
2024-05-11T04:29:35.226993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189855.433985731 6
 
2.0%
189954.316212248 5
 
1.7%
192652.282023976 5
 
1.7%
192531.417347463 3
 
1.0%
191748.353711327 3
 
1.0%
193162.941502573 3
 
1.0%
192760.837912535 3
 
1.0%
195266.07314617 3
 
1.0%
190182.067334395 3
 
1.0%
190125.564768858 3
 
1.0%
Other values (237) 259
86.6%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
189409.319972063 1
 
0.3%
189855.433985731 6
2.0%
189954.316212248 5
1.7%
190075.380363452 1
 
0.3%
190125.564768858 3
1.0%
190144.143203955 2
 
0.7%
190182.067334395 3
1.0%
190217.044298752 2
 
0.7%
190221.187884898 1
 
0.3%
190250.875091908 2
 
0.7%
ValueCountFrequency (%)
201344.940085256 1
 
0.3%
196055.1350544 1
 
0.3%
196042.381344735 1
 
0.3%
195900.709427813 2
0.7%
195568.006693886 1
 
0.3%
195564.375757848 1
 
0.3%
195454.875715409 1
 
0.3%
195324.793653981 1
 
0.3%
195266.07314617 3
1.0%
195233.692386498 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)83.4%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean450507.38
Minimum448229.06
Maximum454811.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T04:29:35.914832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448960.49
Q1449670.87
median450260.82
Q3450975.9
95-th percentile453141.68
Maximum454811.14
Range6582.0771
Interquartile range (IQR)1305.0305

Descriptive statistics

Standard deviation1227.8659
Coefficient of variation (CV)0.0027255179
Kurtosis0.67579802
Mean450507.38
Median Absolute Deviation (MAD)618.32805
Skewness1.0671953
Sum1.3335018 × 108
Variance1507654.7
MonotonicityNot monotonic
2024-05-11T04:29:36.814303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453614.583448105 6
 
2.0%
453263.335891345 5
 
1.7%
449483.723207355 5
 
1.7%
449973.250013143 3
 
1.0%
450052.500896497 3
 
1.0%
449587.977598681 3
 
1.0%
449671.47343892 3
 
1.0%
448799.641804029 3
 
1.0%
453141.676626027 3
 
1.0%
453090.149821248 3
 
1.0%
Other values (237) 259
86.6%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
448229.063825491 1
 
0.3%
448487.374314355 2
0.7%
448554.538966716 1
 
0.3%
448590.225541689 1
 
0.3%
448689.206203195 1
 
0.3%
448746.105294728 1
 
0.3%
448799.641804029 3
1.0%
448854.594112514 1
 
0.3%
448856.564818114 1
 
0.3%
448885.430093289 1
 
0.3%
ValueCountFrequency (%)
454811.140934884 1
 
0.3%
453614.583448105 6
2.0%
453459.525588653 1
 
0.3%
453345.947683972 1
 
0.3%
453263.335891345 5
1.7%
453141.676626027 3
1.0%
453112.077787463 1
 
0.3%
453090.149821248 3
1.0%
453050.376274362 2
 
0.7%
453017.867202928 2
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
음반.음악영상물제작업
197 
<NA>
102 

Length

Max length11
Median length11
Mean length8.6120401
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 197
65.9%
<NA> 102
34.1%

Length

2024-05-11T04:29:37.350936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:37.699091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 197
65.9%
na 102
34.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
유통관련업
197 
<NA>
102 

Length

Max length5
Median length5
Mean length4.6588629
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 197
65.9%
<NA> 102
34.1%

Length

2024-05-11T04:29:38.054834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:38.372444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 197
65.9%
na 102
34.1%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
275 
0
 
15
1
 
6
2
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.7591973
Min length1

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 275
92.0%
0 15
 
5.0%
1 6
 
2.0%
2 1
 
0.3%
8 1
 
0.3%
5 1
 
0.3%

Length

2024-05-11T04:29:38.875691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:39.296603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 275
92.0%
0 15
 
5.0%
1 6
 
2.0%
2 1
 
0.3%
8 1
 
0.3%
5 1
 
0.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

제작취급품목내용
Text

MISSING 

Distinct63
Distinct (%)42.6%
Missing151
Missing (%)50.5%
Memory size2.5 KiB
2024-05-11T04:29:39.884114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length7.5810811
Min length2

Characters and Unicode

Total characters1122
Distinct characters79
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)31.1%

Sample

1st row음반
2nd row음반
3rd row음반제작업
4th row음반
5th row음반
ValueCountFrequency (%)
음반 75
28.4%
음악영상물 26
 
9.8%
및 19
 
7.2%
제작 18
 
6.8%
음원 18
 
6.8%
뮤직비디오 16
 
6.1%
음반,음악영상물 15
 
5.7%
음반음악영상물 8
 
3.0%
음반?음악영상물 7
 
2.7%
영상물 7
 
2.7%
Other values (40) 55
20.8%
2024-05-11T04:29:41.139215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 215
19.2%
반 118
10.5%
116
10.3%
영 76
 
6.8%
상 76
 
6.8%
물 75
 
6.7%
악 69
 
6.1%
, 66
 
5.9%
오 35
 
3.1%
디 31
 
2.8%
Other values (69) 245
21.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 918
81.8%
Space Separator 116
 
10.3%
Other Punctuation 78
 
7.0%
Uppercase Letter 8
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 215
23.4%
반 118
12.9%
영 76
 
8.3%
상 76
 
8.3%
물 75
 
8.2%
악 69
 
7.5%
오 35
 
3.8%
디 31
 
3.4%
제 25
 
2.7%
작 24
 
2.6%
Other values (58) 174
19.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
37.5%
S 1
 
12.5%
C 1
 
12.5%
O 1
 
12.5%
T 1
 
12.5%
V 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 66
84.6%
? 12
 
15.4%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 918
81.8%
Common 196
 
17.5%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 215
23.4%
반 118
12.9%
영 76
 
8.3%
상 76
 
8.3%
물 75
 
8.2%
악 69
 
7.5%
오 35
 
3.8%
디 31
 
3.4%
제 25
 
2.7%
작 24
 
2.6%
Other values (58) 174
19.0%
Latin
ValueCountFrequency (%)
D 3
37.5%
S 1
 
12.5%
C 1
 
12.5%
O 1
 
12.5%
T 1
 
12.5%
V 1
 
12.5%
Common
ValueCountFrequency (%)
116
59.2%
, 66
33.7%
? 12
 
6.1%
) 1
 
0.5%
( 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 918
81.8%
ASCII 204
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 215
23.4%
반 118
12.9%
영 76
 
8.3%
상 76
 
8.3%
물 75
 
8.2%
악 69
 
7.5%
오 35
 
3.8%
디 31
 
3.4%
제 25
 
2.7%
작 24
 
2.6%
Other values (58) 174
19.0%
ASCII
ValueCountFrequency (%)
116
56.9%
, 66
32.4%
? 12
 
5.9%
D 3
 
1.5%
) 1
 
0.5%
( 1
 
0.5%
S 1
 
0.5%
C 1
 
0.5%
O 1
 
0.5%
T 1
 
0.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)71.4%
Missing215
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean176.17286
Minimum0
Maximum4820.26
Zeros22
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T04:29:41.942573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median66.07
Q3120.1325
95-th percentile358.8145
Maximum4820.26
Range4820.26
Interquartile range (IQR)120.1325

Descriptive statistics

Standard deviation591.83411
Coefficient of variation (CV)3.3593944
Kurtosis48.540043
Mean176.17286
Median Absolute Deviation (MAD)63.255
Skewness6.6540182
Sum14798.52
Variance350267.61
MonotonicityNot monotonic
2024-05-11T04:29:42.442751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
7.4%
99.66 2
 
0.7%
118.19 2
 
0.7%
3.3 2
 
0.7%
125.96 1
 
0.3%
89.9 1
 
0.3%
75.08 1
 
0.3%
46.2 1
 
0.3%
22.94 1
 
0.3%
129.81 1
 
0.3%
Other values (50) 50
 
16.7%
(Missing) 215
71.9%
ValueCountFrequency (%)
0.0 22
7.4%
2.0 1
 
0.3%
3.3 2
 
0.7%
7.58 1
 
0.3%
16.62 1
 
0.3%
22.23 1
 
0.3%
22.94 1
 
0.3%
23.5 1
 
0.3%
27.36 1
 
0.3%
30.0 1
 
0.3%
ValueCountFrequency (%)
4820.26 1
0.3%
2355.2 1
0.3%
1285.74 1
0.3%
599.46 1
0.3%
369.37 1
0.3%
299.0 1
0.3%
272.97 1
0.3%
267.7 1
0.3%
214.31 1
0.3%
183.75 1
0.3%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
278 
0
 
15
1
 
3
7
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7892977
Min length1

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 278
93.0%
0 15
 
5.0%
1 3
 
1.0%
7 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

Length

2024-05-11T04:29:43.043176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:43.550210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 278
93.0%
0 15
 
5.0%
1 3
 
1.0%
7 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
278 
0
 
15
1
 
6

Length

Max length4
Median length4
Mean length3.7892977
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> 278
93.0%
0 15
 
5.0%
1 6
 
2.0%

Length

2024-05-11T04:29:44.050769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:44.536538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 278
93.0%
0 15
 
5.0%
1 6
 
2.0%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing295
Missing (%)98.7%
Memory size2.5 KiB
2024-05-11T04:29:44.949293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

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

Characters and Unicode

Total characters18
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row사무실
3rd row사무실
4th row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
50.0%
사무실 2
50.0%
2024-05-11T04:29:46.050136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
11.1%
린 2
11.1%
생 2
11.1%
활 2
11.1%
시 2
11.1%
설 2
11.1%
사 2
11.1%
무 2
11.1%
실 2
11.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
284 
0
 
15

Length

Max length4
Median length4
Mean length3.8494983
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> 284
95.0%
0 15
 
5.0%

Length

2024-05-11T04:29:46.636151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:47.123753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
95.0%
0 15
 
5.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
284 
0
 
15

Length

Max length4
Median length4
Mean length3.8494983
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> 284
95.0%
0 15
 
5.0%

Length

2024-05-11T04:29:47.490400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:47.897980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
95.0%
0 15
 
5.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
284 
0
 
15

Length

Max length4
Median length4
Mean length3.8494983
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> 284
95.0%
0 15
 
5.0%

Length

2024-05-11T04:29:48.429752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:48.902793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
95.0%
0 15
 
5.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
284 
0
 
15

Length

Max length4
Median length4
Mean length3.8494983
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> 284
95.0%
0 15
 
5.0%

Length

2024-05-11T04:29:49.421714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:49.846042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
95.0%
0 15
 
5.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
284 
0
 
15

Length

Max length4
Median length4
Mean length3.8494983
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> 284
95.0%
0 15
 
5.0%

Length

2024-05-11T04:29:50.340606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:29:50.862602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
95.0%
0 15
 
5.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing296
Missing (%)99.0%
Memory size2.5 KiB
2024-05-11T04:29:51.334638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18
Distinct characters10
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 row근린상업지역
2nd row일반주거지역
3rd row일반주거지역
ValueCountFrequency (%)
일반주거지역 2
66.7%
근린상업지역 1
33.3%
2024-05-11T04:29:52.473106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
주 2
11.1%
거 2
11.1%
근 1
 
5.6%
린 1
 
5.6%
상 1
 
5.6%
업 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
주 2
11.1%
거 2
11.1%
근 1
 
5.6%
린 1
 
5.6%
상 1
 
5.6%
업 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
주 2
11.1%
거 2
11.1%
근 1
 
5.6%
린 1
 
5.6%
상 1
 
5.6%
업 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
일 2
11.1%
반 2
11.1%
주 2
11.1%
거 2
11.1%
근 1
 
5.6%
린 1
 
5.6%
상 1
 
5.6%
업 1
 
5.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF324106199600000119960930<NA>3폐업3폐업20080818<NA><NA><NA>333-8743<NA>121896서울특별시 마포구 서교동 ***-*번지서울특별시 마포구 잔다리로 *** (서교동)<NA>신촌뮤직2008-08-18 13:29:28I2018-08-31 23:59:59.0<NA>192272.808957450600.203122음반.음악영상물제작업유통관련업<NA><NA>음반<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>
13130000CDFF324106200000000120000508<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3142-2735<NA><NA>서울특별시 마포구 서교동 ***-**번지 *층서울특별시 마포구 와우산로**길 **, *층 (서교동)4067메타복스2016-03-15 14:10:23I2018-08-31 23:59:59.0<NA>193216.927777449861.609847음반.음악영상물제작업유통관련업<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>
23130000CDFF324106200000000220000522<NA>3폐업3폐업20070522<NA><NA><NA><NA><NA>121883서울특별시 마포구 합정동 ***-*번지<NA><NA>(주)홍성사2007-05-22 14:04:48I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업<NA><NA>음반<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>
33130000CDFF324106200100000120010507<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**번지서울특별시 마포구 잔다리로 ** (서교동)4031(주)뮤직엔필름컴퍼니2015-08-04 14:32:03I2018-08-31 23:59:59.0<NA>192610.920313450178.982063음반.음악영상물제작업유통관련업<NA><NA>음반제작업<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>
43130000CDFF324106200100000220010727<NA>3폐업3폐업20090709<NA><NA><NA>322-7111<NA><NA>서울특별시 마포구 서교동 ***-**번지 예랑빌딩 *층서울특별시 마포구 잔다리로 ** (서교동,예랑빌딩 *층)<NA>(주)캔디엔터테인먼트2009-07-09 11:18:38I2018-08-31 23:59:59.0<NA>192878.727777449832.766257음반.음악영상물제작업유통관련업<NA><NA>음반0.0<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>
53130000CDFF32410620010000042001-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-*서울특별시 마포구 희우정로*길 * (합정동)4028주식회사 와이지엔터테인먼트2024-04-18 17:59:13U2023-12-03 22:00:00.0<NA>191772.393101449630.484575<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>
63130000CDFF324106200200000120020816<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136055서울특별시 성북구 동선동*가 ***-*번지 대신빌딩 *층서울특별시 성북구 아리랑로 ** (동선동*가,대신빌딩 *층)2829네트워크리더쉽코리아(유)2006-08-03 17:44:15I2018-08-31 23:59:59.0<NA>201344.940085454811.140935음반.음악영상물제작업유통관련업<NA><NA>음반<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>
73130000CDFF324106200200000320021104<NA>3폐업3폐업20090327<NA><NA><NA><NA><NA>121828서울특별시 마포구 상수동 **-**번지 삼송빌딩 *층서울특별시 마포구 와우산로**길 * (상수동,삼송빌딩 *층)<NA>드럭2009-03-27 14:12:59I2018-08-31 23:59:59.0<NA>193157.056817449756.972677음반.음악영상물제작업유통관련업<NA><NA>음반0.0<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>
83130000CDFF324106200200000420021004<NA>1영업/정상13영업중<NA><NA><NA><NA>322-5491<NA><NA>서울특별시 마포구 서교동 ***-*번지 지층서울특별시 마포구 동교로 ***-*, 지층 (서교동)4001버블껌사운드2015-08-04 14:32:49I2018-08-31 23:59:59.0<NA>192721.723597450377.04374음반.음악영상물제작업유통관련업<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>근린상업지역
93130000CDFF324106200200000620021206<NA>3폐업3폐업20221214<NA><NA><NA><NA><NA><NA>서울특별시 마포구 마포동 35-1서울특별시 마포구 마포대로 15, 803호 (마포동, 현대빌딩)4165(주)동방네트워크2022-12-14 10:52:51U2021-11-01 23:06:00.0<NA>194978.350113448487.374314<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2893130000CDFF32410620230000272023-11-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 동교로**길 **, *층 (서교동)4031로피겨스 주식회사2023-11-21 18:25:59I2022-10-31 22:03:00.0<NA>192678.788369450146.878426<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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