Overview

Dataset statistics

Number of variables56
Number of observations310
Missing cells8798
Missing cells (%)50.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory147.6 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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17823/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
총층수 is highly imbalanced (77.9%)Imbalance
지상층수 is highly imbalanced (81.2%)Imbalance
지하층수 is highly imbalanced (74.9%)Imbalance
통로너비 is highly imbalanced (68.0%)Imbalance
조명시설조도 is highly imbalanced (68.0%)Imbalance
노래방실수 is highly imbalanced (68.0%)Imbalance
청소년실수 is highly imbalanced (68.0%)Imbalance
총게임기수 is highly imbalanced (68.0%)Imbalance
인허가취소일자 has 310 (100.0%) missing valuesMissing
폐업일자 has 248 (80.0%) missing valuesMissing
휴업시작일자 has 310 (100.0%) missing valuesMissing
휴업종료일자 has 310 (100.0%) missing valuesMissing
재개업일자 has 310 (100.0%) missing valuesMissing
전화번호 has 122 (39.4%) missing valuesMissing
소재지면적 has 310 (100.0%) missing valuesMissing
소재지우편번호 has 203 (65.5%) missing valuesMissing
도로명주소 has 7 (2.3%) missing valuesMissing
도로명우편번호 has 127 (41.0%) missing valuesMissing
업태구분명 has 310 (100.0%) missing valuesMissing
주변환경명 has 310 (100.0%) missing valuesMissing
제작취급품목내용 has 88 (28.4%) missing valuesMissing
시설면적 has 249 (80.3%) missing valuesMissing
건물용도명 has 309 (99.7%) missing valuesMissing
비상계단여부 has 310 (100.0%) missing valuesMissing
비상구여부 has 310 (100.0%) missing valuesMissing
자동환기여부 has 310 (100.0%) missing valuesMissing
청소년실여부 has 310 (100.0%) missing valuesMissing
특수조명여부 has 310 (100.0%) missing valuesMissing
방음시설여부 has 310 (100.0%) missing valuesMissing
비디오재생기명 has 310 (100.0%) missing valuesMissing
조명시설유무 has 310 (100.0%) missing valuesMissing
음향시설여부 has 310 (100.0%) missing valuesMissing
편의시설여부 has 310 (100.0%) missing valuesMissing
소방시설여부 has 310 (100.0%) missing valuesMissing
기존게임업외업종명 has 310 (100.0%) missing valuesMissing
제공게임물명 has 310 (100.0%) missing valuesMissing
공연장형태구분명 has 310 (100.0%) missing valuesMissing
품목명 has 310 (100.0%) missing valuesMissing
최초등록시점 has 310 (100.0%) missing valuesMissing
지역구분명 has 309 (99.7%) 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 7 (2.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:02:07.995472
Analysis finished2024-05-11 06:02:10.624304
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3210000
310 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 310
100.0%

Length

2024-05-11T06:02:10.888855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:11.370200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 310
100.0%

관리번호
Text

UNIQUE 

Distinct310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T06:02:12.086109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6200
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

Unique310 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061993000001
2nd rowCDFF3241061999000001
3rd rowCDFF3241061999000002
4th rowCDFF3241061999000003
5th rowCDFF3241061999000004
ValueCountFrequency (%)
cdff3241061993000001 1
 
0.3%
cdff3241062019000010 1
 
0.3%
cdff3241062019000018 1
 
0.3%
cdff3241062019000017 1
 
0.3%
cdff3241062019000016 1
 
0.3%
cdff3241062019000015 1
 
0.3%
cdff3241062019000014 1
 
0.3%
cdff3241062019000013 1
 
0.3%
cdff3241062019000002 1
 
0.3%
cdff3241062019000009 1
 
0.3%
Other values (300) 300
96.8%
2024-05-11T06:02:13.561728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2198
35.5%
2 824
 
13.3%
1 622
 
10.0%
F 620
 
10.0%
3 376
 
6.1%
4 371
 
6.0%
6 355
 
5.7%
C 310
 
5.0%
D 310
 
5.0%
9 76
 
1.2%
Other values (3) 138
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4960
80.0%
Uppercase Letter 1240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2198
44.3%
2 824
 
16.6%
1 622
 
12.5%
3 376
 
7.6%
4 371
 
7.5%
6 355
 
7.2%
9 76
 
1.5%
5 49
 
1.0%
8 46
 
0.9%
7 43
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 620
50.0%
C 310
25.0%
D 310
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4960
80.0%
Latin 1240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2198
44.3%
2 824
 
16.6%
1 622
 
12.5%
3 376
 
7.6%
4 371
 
7.5%
6 355
 
7.2%
9 76
 
1.5%
5 49
 
1.0%
8 46
 
0.9%
7 43
 
0.9%
Latin
ValueCountFrequency (%)
F 620
50.0%
C 310
25.0%
D 310
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2198
35.5%
2 824
 
13.3%
1 622
 
10.0%
F 620
 
10.0%
3 376
 
6.1%
4 371
 
6.0%
6 355
 
5.7%
C 310
 
5.0%
D 310
 
5.0%
9 76
 
1.2%
Other values (3) 138
 
2.2%

인허가일자
Date

Distinct297
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1984-03-02 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T06:02:14.221824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:02:14.932507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
248 
3
48 
5
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 248
80.0%
3 48
 
15.5%
5 14
 
4.5%

Length

2024-05-11T06:02:15.690135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:16.225663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 248
80.0%
3 48
 
15.5%
5 14
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
248 
폐업
48 
제외/삭제/전출
 
14

Length

Max length8
Median length5
Mean length4.6709677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 248
80.0%
폐업 48
 
15.5%
제외/삭제/전출 14
 
4.5%

Length

2024-05-11T06:02:16.803388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:17.191090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 248
80.0%
폐업 48
 
15.5%
제외/삭제/전출 14
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
13
248 
3
48 
15
 
14

Length

Max length2
Median length2
Mean length1.8451613
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 248
80.0%
3 48
 
15.5%
15 14
 
4.5%

Length

2024-05-11T06:02:17.672294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:18.061016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 248
80.0%
3 48
 
15.5%
15 14
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업중
248 
폐업
48 
전출
 
14

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 248
80.0%
폐업 48
 
15.5%
전출 14
 
4.5%

Length

2024-05-11T06:02:18.495441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:18.836365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 248
80.0%
폐업 48
 
15.5%
전출 14
 
4.5%

폐업일자
Date

MISSING 

Distinct60
Distinct (%)96.8%
Missing248
Missing (%)80.0%
Memory size2.6 KiB
Minimum2006-07-25 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T06:02:19.143466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:02:19.609989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct185
Distinct (%)98.4%
Missing122
Missing (%)39.4%
Memory size2.6 KiB
2024-05-11T06:02:20.234722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8670213
Min length8

Characters and Unicode

Total characters1855
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)96.8%

Sample

1st row02-2106-2562
2nd row525-5416
3rd row3486-1663
4th row3471-4150
5th row593-8760
ValueCountFrequency (%)
02 12
 
5.6%
02-517-5748 2
 
0.9%
511 2
 
0.9%
0380 2
 
0.9%
579-8002 2
 
0.9%
070 2
 
0.9%
02-577-8850 1
 
0.5%
0826 1
 
0.5%
3461 1
 
0.5%
5150 1
 
0.5%
Other values (190) 190
88.0%
2024-05-11T06:02:21.299293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 248
13.4%
0 233
12.6%
2 231
12.5%
5 219
11.8%
3 159
8.6%
7 146
7.9%
4 144
7.8%
8 135
7.3%
1 130
7.0%
6 93
 
5.0%
Other values (2) 117
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1579
85.1%
Dash Punctuation 248
 
13.4%
Space Separator 28
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 233
14.8%
2 231
14.6%
5 219
13.9%
3 159
10.1%
7 146
9.2%
4 144
9.1%
8 135
8.5%
1 130
8.2%
6 93
 
5.9%
9 89
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1855
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 248
13.4%
0 233
12.6%
2 231
12.5%
5 219
11.8%
3 159
8.6%
7 146
7.9%
4 144
7.8%
8 135
7.3%
1 130
7.0%
6 93
 
5.0%
Other values (2) 117
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1855
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 248
13.4%
0 233
12.6%
2 231
12.5%
5 219
11.8%
3 159
8.6%
7 146
7.9%
4 144
7.8%
8 135
7.3%
1 130
7.0%
6 93
 
5.0%
Other values (2) 117
6.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)56.1%
Missing203
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean137840.83
Minimum137130
Maximum137963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T06:02:21.835524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137130
5-th percentile137800.6
Q1137832
median137863
Q3137891
95-th percentile137906.7
Maximum137963
Range833
Interquartile range (IQR)59

Descriptive statistics

Standard deviation124.64966
Coefficient of variation (CV)0.00090430141
Kurtosis25.954851
Mean137840.83
Median Absolute Deviation (MAD)28
Skewness-4.9605853
Sum14748969
Variance15537.537
MonotonicityNot monotonic
2024-05-11T06:02:22.271220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137894 5
 
1.6%
137806 5
 
1.6%
137860 4
 
1.3%
137858 3
 
1.0%
137890 3
 
1.0%
137802 3
 
1.0%
137906 3
 
1.0%
137810 3
 
1.0%
137851 3
 
1.0%
137807 3
 
1.0%
Other values (50) 72
 
23.2%
(Missing) 203
65.5%
ValueCountFrequency (%)
137130 2
 
0.6%
137180 1
 
0.3%
137731 1
 
0.3%
137769 1
 
0.3%
137800 1
 
0.3%
137802 3
1.0%
137803 1
 
0.3%
137805 2
 
0.6%
137806 5
1.6%
137807 3
1.0%
ValueCountFrequency (%)
137963 1
 
0.3%
137927 3
1.0%
137918 1
 
0.3%
137907 1
 
0.3%
137906 3
1.0%
137905 2
0.6%
137904 2
0.6%
137902 1
 
0.3%
137900 1
 
0.3%
137898 1
 
0.3%

지번주소
Text

Distinct253
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T06:02:22.889347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length26.835484
Min length13

Characters and Unicode

Total characters8319
Distinct characters228
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

Unique221 ?
Unique (%)71.3%

Sample

1st row서울특별시 서초구 서초동 ****-**번지 예당빌딩
2nd row서울특별시 서초구 서초동 ****-*번지 삼동빌딩 지층
3rd row서울특별시 서초구 반포동 **-*번지 팬빌딩 *층
4th row서울특별시 서초구 방배동 ****-*번지 태영교역빌딩 *층
5th row서울특별시 서초구 서초동 ****-*번지
ValueCountFrequency (%)
서울특별시 310
19.6%
서초구 310
19.6%
번지 197
12.4%
서초동 108
 
6.8%
105
 
6.6%
양재동 69
 
4.4%
방배동 57
 
3.6%
층 54
 
3.4%
호 47
 
3.0%
반포동 38
 
2.4%
Other values (210) 289
18.2%
2024-05-11T06:02:24.184948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1579
19.0%
1469
17.7%
서 748
 
9.0%
초 427
 
5.1%
동 330
 
4.0%
시 314
 
3.8%
구 310
 
3.7%
울 310
 
3.7%
별 310
 
3.7%
특 310
 
3.7%
Other values (218) 2212
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4896
58.9%
Other Punctuation 1580
 
19.0%
Space Separator 1469
 
17.7%
Dash Punctuation 285
 
3.4%
Uppercase Letter 70
 
0.8%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Lowercase Letter 4
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 748
15.3%
초 427
 
8.7%
동 330
 
6.7%
시 314
 
6.4%
구 310
 
6.3%
울 310
 
6.3%
별 310
 
6.3%
특 310
 
6.3%
지 219
 
4.5%
번 197
 
4.0%
Other values (184) 1421
29.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
14.3%
E 8
 
11.4%
O 5
 
7.1%
A 5
 
7.1%
S 4
 
5.7%
I 4
 
5.7%
R 4
 
5.7%
T 3
 
4.3%
C 3
 
4.3%
J 3
 
4.3%
Other values (12) 21
30.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
e 1
25.0%
w 1
25.0%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
1 1
33.3%
6 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 1579
99.9%
, 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4896
58.9%
Common 3349
40.3%
Latin 74
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 748
15.3%
초 427
 
8.7%
동 330
 
6.7%
시 314
 
6.4%
구 310
 
6.3%
울 310
 
6.3%
별 310
 
6.3%
특 310
 
6.3%
지 219
 
4.5%
번 197
 
4.0%
Other values (184) 1421
29.0%
Latin
ValueCountFrequency (%)
B 10
 
13.5%
E 8
 
10.8%
O 5
 
6.8%
A 5
 
6.8%
S 4
 
5.4%
I 4
 
5.4%
R 4
 
5.4%
T 3
 
4.1%
C 3
 
4.1%
J 3
 
4.1%
Other values (15) 25
33.8%
Common
ValueCountFrequency (%)
* 1579
47.1%
1469
43.9%
- 285
 
8.5%
) 6
 
0.2%
( 6
 
0.2%
, 1
 
< 0.1%
7 1
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4896
58.9%
ASCII 3423
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1579
46.1%
1469
42.9%
- 285
 
8.3%
B 10
 
0.3%
E 8
 
0.2%
) 6
 
0.2%
( 6
 
0.2%
O 5
 
0.1%
A 5
 
0.1%
S 4
 
0.1%
Other values (24) 46
 
1.3%
Hangul
ValueCountFrequency (%)
서 748
15.3%
초 427
 
8.7%
동 330
 
6.7%
시 314
 
6.4%
구 310
 
6.3%
울 310
 
6.3%
별 310
 
6.3%
특 310
 
6.3%
지 219
 
4.5%
번 197
 
4.0%
Other values (184) 1421
29.0%

도로명주소
Text

MISSING 

Distinct285
Distinct (%)94.1%
Missing7
Missing (%)2.3%
Memory size2.6 KiB
2024-05-11T06:02:24.725018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length34.640264
Min length22

Characters and Unicode

Total characters10496
Distinct characters246
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

Unique269 ?
Unique (%)88.8%

Sample

1st row서울특별시 서초구 반포대로**길 ** (서초동,예당빌딩)
2nd row서울특별시 서초구 효령로**길 ** (서초동,삼동빌딩 지층)
3rd row서울특별시 서초구 서래로 ** (반포동,팬빌딩 *층)
4th row서울특별시 서초구 남부순환로 ****-* (방배동,태영교역빌딩 *층)
5th row서울특별시 서초구 서운로 ** (서초동)
ValueCountFrequency (%)
서울특별시 303
15.5%
303
15.5%
서초구 303
15.5%
층 109
 
5.6%
호 97
 
5.0%
서초동 64
 
3.3%
양재동 49
 
2.5%
방배동 44
 
2.3%
지층 23
 
1.2%
반포동 22
 
1.1%
Other values (312) 637
32.6%
2024-05-11T06:02:25.780946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1763
16.8%
* 1587
 
15.1%
서 782
 
7.5%
초 452
 
4.3%
, 361
 
3.4%
동 345
 
3.3%
시 307
 
2.9%
) 306
 
2.9%
( 306
 
2.9%
특 303
 
2.9%
Other values (236) 3984
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6035
57.5%
Other Punctuation 1948
 
18.6%
Space Separator 1763
 
16.8%
Close Punctuation 306
 
2.9%
Open Punctuation 306
 
2.9%
Uppercase Letter 77
 
0.7%
Dash Punctuation 47
 
0.4%
Decimal Number 10
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 782
 
13.0%
초 452
 
7.5%
동 345
 
5.7%
시 307
 
5.1%
특 303
 
5.0%
별 303
 
5.0%
구 303
 
5.0%
울 303
 
5.0%
로 293
 
4.9%
길 201
 
3.3%
Other values (202) 2443
40.5%
Uppercase Letter
ValueCountFrequency (%)
B 27
35.1%
E 6
 
7.8%
I 5
 
6.5%
A 5
 
6.5%
O 4
 
5.2%
S 4
 
5.2%
M 3
 
3.9%
C 3
 
3.9%
D 3
 
3.9%
R 3
 
3.9%
Other values (11) 14
18.2%
Decimal Number
ValueCountFrequency (%)
0 4
40.0%
2 2
20.0%
1 2
20.0%
3 2
20.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
e 1
25.0%
w 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1587
81.5%
, 361
 
18.5%
Space Separator
ValueCountFrequency (%)
1763
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6035
57.5%
Common 4380
41.7%
Latin 81
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 782
 
13.0%
초 452
 
7.5%
동 345
 
5.7%
시 307
 
5.1%
특 303
 
5.0%
별 303
 
5.0%
구 303
 
5.0%
울 303
 
5.0%
로 293
 
4.9%
길 201
 
3.3%
Other values (202) 2443
40.5%
Latin
ValueCountFrequency (%)
B 27
33.3%
E 6
 
7.4%
I 5
 
6.2%
A 5
 
6.2%
O 4
 
4.9%
S 4
 
4.9%
M 3
 
3.7%
C 3
 
3.7%
D 3
 
3.7%
R 3
 
3.7%
Other values (14) 18
22.2%
Common
ValueCountFrequency (%)
1763
40.3%
* 1587
36.2%
, 361
 
8.2%
) 306
 
7.0%
( 306
 
7.0%
- 47
 
1.1%
0 4
 
0.1%
2 2
 
< 0.1%
1 2
 
< 0.1%
3 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6035
57.5%
ASCII 4461
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1763
39.5%
* 1587
35.6%
, 361
 
8.1%
) 306
 
6.9%
( 306
 
6.9%
- 47
 
1.1%
B 27
 
0.6%
E 6
 
0.1%
I 5
 
0.1%
A 5
 
0.1%
Other values (24) 48
 
1.1%
Hangul
ValueCountFrequency (%)
서 782
 
13.0%
초 452
 
7.5%
동 345
 
5.7%
시 307
 
5.1%
특 303
 
5.0%
별 303
 
5.0%
구 303
 
5.0%
울 303
 
5.0%
로 293
 
4.9%
길 201
 
3.3%
Other values (202) 2443
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)56.8%
Missing127
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean10962.219
Minimum6524
Maximum137927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T06:02:26.336040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6524
5-th percentile6526
Q16578.5
median6664
Q36752.5
95-th percentile6787
Maximum137927
Range131403
Interquartile range (IQR)174

Descriptive statistics

Standard deviation23424.476
Coefficient of variation (CV)2.1368372
Kurtosis26.278233
Mean10962.219
Median Absolute Deviation (MAD)88
Skewness5.2906211
Sum2006086
Variance5.4870607 × 108
MonotonicityNot monotonic
2024-05-11T06:02:26.795021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6524 9
 
2.9%
6787 7
 
2.3%
6626 5
 
1.6%
6775 5
 
1.6%
6564 4
 
1.3%
6776 4
 
1.3%
6734 4
 
1.3%
6593 4
 
1.3%
6661 4
 
1.3%
6664 3
 
1.0%
Other values (94) 134
43.2%
(Missing) 127
41.0%
ValueCountFrequency (%)
6524 9
2.9%
6526 2
 
0.6%
6527 3
 
1.0%
6529 2
 
0.6%
6530 2
 
0.6%
6531 1
 
0.3%
6532 1
 
0.3%
6536 1
 
0.3%
6541 2
 
0.6%
6544 3
 
1.0%
ValueCountFrequency (%)
137927 1
 
0.3%
137893 1
 
0.3%
137874 1
 
0.3%
137818 1
 
0.3%
137805 1
 
0.3%
137727 1
 
0.3%
6798 1
 
0.3%
6787 7
2.3%
6785 2
 
0.6%
6783 1
 
0.3%

사업장명
Text

Distinct308
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T06:02:27.636645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length21
Mean length8.9
Min length2

Characters and Unicode

Total characters2759
Distinct characters368
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

Unique306 ?
Unique (%)98.7%

Sample

1st row(주)예당컴퍼니
2nd row(주)경성미디어
3rd row(주)팬엔터테인먼트
4th row작스미디어
5th row마코뮤직
ValueCountFrequency (%)
주식회사 50
 
11.7%
엔터테인먼트 4
 
0.9%
music 3
 
0.7%
스튜디오 3
 
0.7%
주 2
 
0.5%
윙크 2
 
0.5%
드림빌엔터테인먼트 2
 
0.5%
lab 2
 
0.5%
주)플럭서스 2
 
0.5%
뮤직 2
 
0.5%
Other values (349) 355
83.1%
2024-05-11T06:02:28.684684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 169
 
6.1%
( 137
 
5.0%
) 137
 
5.0%
117
 
4.2%
스 85
 
3.1%
사 70
 
2.5%
이 70
 
2.5%
트 65
 
2.4%
회 54
 
2.0%
인 53
 
1.9%
Other values (358) 1802
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2119
76.8%
Open Punctuation 137
 
5.0%
Close Punctuation 137
 
5.0%
Uppercase Letter 136
 
4.9%
Space Separator 117
 
4.2%
Lowercase Letter 100
 
3.6%
Decimal Number 8
 
0.3%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 169
 
8.0%
스 85
 
4.0%
사 70
 
3.3%
이 70
 
3.3%
트 65
 
3.1%
회 54
 
2.5%
인 53
 
2.5%
식 51
 
2.4%
엔 50
 
2.4%
뮤 44
 
2.1%
Other values (303) 1408
66.4%
Uppercase Letter
ValueCountFrequency (%)
S 17
12.5%
I 11
 
8.1%
R 10
 
7.4%
A 10
 
7.4%
T 9
 
6.6%
C 9
 
6.6%
E 8
 
5.9%
M 7
 
5.1%
O 7
 
5.1%
L 7
 
5.1%
Other values (14) 41
30.1%
Lowercase Letter
ValueCountFrequency (%)
n 10
 
10.0%
i 9
 
9.0%
s 9
 
9.0%
e 9
 
9.0%
u 8
 
8.0%
r 7
 
7.0%
t 6
 
6.0%
o 6
 
6.0%
m 6
 
6.0%
a 5
 
5.0%
Other values (10) 25
25.0%
Decimal Number
ValueCountFrequency (%)
7 3
37.5%
9 2
25.0%
0 1
 
12.5%
6 1
 
12.5%
8 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2119
76.8%
Common 404
 
14.6%
Latin 236
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 169
 
8.0%
스 85
 
4.0%
사 70
 
3.3%
이 70
 
3.3%
트 65
 
3.1%
회 54
 
2.5%
인 53
 
2.5%
식 51
 
2.4%
엔 50
 
2.4%
뮤 44
 
2.1%
Other values (303) 1408
66.4%
Latin
ValueCountFrequency (%)
S 17
 
7.2%
I 11
 
4.7%
n 10
 
4.2%
R 10
 
4.2%
A 10
 
4.2%
i 9
 
3.8%
T 9
 
3.8%
C 9
 
3.8%
s 9
 
3.8%
e 9
 
3.8%
Other values (34) 133
56.4%
Common
ValueCountFrequency (%)
( 137
33.9%
) 137
33.9%
117
29.0%
& 3
 
0.7%
7 3
 
0.7%
9 2
 
0.5%
0 1
 
0.2%
. 1
 
0.2%
6 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2119
76.8%
ASCII 640
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 169
 
8.0%
스 85
 
4.0%
사 70
 
3.3%
이 70
 
3.3%
트 65
 
3.1%
회 54
 
2.5%
인 53
 
2.5%
식 51
 
2.4%
엔 50
 
2.4%
뮤 44
 
2.1%
Other values (303) 1408
66.4%
ASCII
ValueCountFrequency (%)
( 137
21.4%
) 137
21.4%
117
18.3%
S 17
 
2.7%
I 11
 
1.7%
n 10
 
1.6%
R 10
 
1.6%
A 10
 
1.6%
i 9
 
1.4%
T 9
 
1.4%
Other values (45) 173
27.0%

최종수정일자
Date

UNIQUE 

Distinct310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2006-01-31 17:41:03
Maximum2024-05-03 14:11:59
2024-05-11T06:02:29.139551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:02:29.724544image/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 size2.6 KiB
I
256 
U
54 

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 256
82.6%
U 54
 
17.4%

Length

2024-05-11T06:02:30.214810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:30.582851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 256
82.6%
u 54
 
17.4%

데이터갱신일자
Date

Distinct134
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T06:02:31.115603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:02:31.758359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct262
Distinct (%)85.3%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean201498.43
Minimum198353.82
Maximum207749.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T06:02:32.215573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198353.82
5-th percentile198773.72
Q1200326.7
median201501.59
Q3202651.08
95-th percentile203856.75
Maximum207749.49
Range9395.6692
Interquartile range (IQR)2324.3753

Descriptive statistics

Standard deviation1624.9648
Coefficient of variation (CV)0.0080644044
Kurtosis-0.35757339
Mean201498.43
Median Absolute Deviation (MAD)1172.8264
Skewness0.03170473
Sum61860018
Variance2640510.6
MonotonicityNot monotonic
2024-05-11T06:02:33.040274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202513.119414067 4
 
1.3%
201510.269536358 4
 
1.3%
200947.095007216 3
 
1.0%
199944.939861171 3
 
1.0%
201990.741998075 3
 
1.0%
201169.510931109 3
 
1.0%
199779.697051231 3
 
1.0%
202408.927424445 2
 
0.6%
202175.011113176 2
 
0.6%
203677.975908541 2
 
0.6%
Other values (252) 278
89.7%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
198353.824006002 1
0.3%
198356.006840205 1
0.3%
198407.667634842 1
0.3%
198481.212465837 1
0.3%
198488.945173761 2
0.6%
198512.866027886 2
0.6%
198532.940717328 1
0.3%
198551.132561728 1
0.3%
198640.460578057 1
0.3%
198678.995840284 1
0.3%
ValueCountFrequency (%)
207749.493168401 1
0.3%
204729.891186669 1
0.3%
204241.913997006 1
0.3%
204158.349624217 2
0.6%
204132.966056682 1
0.3%
204076.252848699 1
0.3%
204072.005641837 1
0.3%
204021.6 1
0.3%
203965.005507968 1
0.3%
203962.132622996 2
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct262
Distinct (%)85.3%
Missing3
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean442967.32
Minimum439205.43
Maximum446565.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T06:02:33.825480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439205.43
5-th percentile440704.29
Q1441982.75
median442884.03
Q3443741.65
95-th percentile445715.68
Maximum446565.03
Range7359.5987
Interquartile range (IQR)1758.9005

Descriptive statistics

Standard deviation1460.9548
Coefficient of variation (CV)0.0032981096
Kurtosis-0.16121663
Mean442967.32
Median Absolute Deviation (MAD)891.00141
Skewness0.30822621
Sum1.3599097 × 108
Variance2134388.9
MonotonicityNot monotonic
2024-05-11T06:02:34.265732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443478.806945055 4
 
1.3%
446098.762055175 4
 
1.3%
442884.973043075 3
 
1.0%
443606.126104092 3
 
1.0%
442433.148687375 3
 
1.0%
444933.012276862 3
 
1.0%
442913.177063314 3
 
1.0%
443494.434121253 2
 
0.6%
440963.759050916 2
 
0.6%
440569.259053553 2
 
0.6%
Other values (252) 278
89.7%
(Missing) 3
 
1.0%
ValueCountFrequency (%)
439205.430021381 1
0.3%
439459.307260772 1
0.3%
439579.545307949 1
0.3%
440125.988508969 1
0.3%
440218.664366759 1
0.3%
440303.490253141 2
0.6%
440383.505965875 1
0.3%
440402.653261576 1
0.3%
440555.042221183 1
0.3%
440569.259053553 2
0.6%
ValueCountFrequency (%)
446565.028672992 1
 
0.3%
446206.354902748 2
0.6%
446180.260965954 1
 
0.3%
446179.309516814 1
 
0.3%
446150.216745339 1
 
0.3%
446100.917105583 1
 
0.3%
446098.762055175 4
1.3%
446041.940329826 1
 
0.3%
446001.020167893 1
 
0.3%
445829.420786771 1
 
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
음반.음악영상물제작업
242 
<NA>
68 

Length

Max length11
Median length11
Mean length9.4645161
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 242
78.1%
<NA> 68
 
21.9%

Length

2024-05-11T06:02:35.019129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:35.534892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 242
78.1%
na 68
 
21.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
유통관련업
242 
<NA>
68 

Length

Max length5
Median length5
Mean length4.7806452
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 242
78.1%
<NA> 68
 
21.9%

Length

2024-05-11T06:02:36.186817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:36.694597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 242
78.1%
na 68
 
21.9%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
291 
0
 
18
5
 
1

Length

Max length4
Median length4
Mean length3.816129
Min length1

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> 291
93.9%
0 18
 
5.8%
5 1
 
0.3%

Length

2024-05-11T06:02:37.457705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:37.918308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
93.9%
0 18
 
5.8%
5 1
 
0.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

제작취급품목내용
Text

MISSING 

Distinct95
Distinct (%)42.8%
Missing88
Missing (%)28.4%
Memory size2.6 KiB
2024-05-11T06:02:38.566995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length6.1891892
Min length2

Characters and Unicode

Total characters1374
Distinct characters98
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

Unique86 ?
Unique (%)38.7%

Sample

1st row음반
2nd row음반
3rd row음반
4th row음반
5th row음반
ValueCountFrequency (%)
음반 142
41.9%
음악영상물 18
 
5.3%
제작 13
 
3.8%
및 13
 
3.8%
뮤직비디오 11
 
3.2%
영상물 10
 
2.9%
음반,음악영상물 7
 
2.1%
음반제작 6
 
1.8%
음원제작 5
 
1.5%
등 5
 
1.5%
Other values (86) 109
32.2%
2024-05-11T06:02:39.880524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 252
18.3%
반 175
12.7%
117
 
8.5%
, 88
 
6.4%
영 84
 
6.1%
상 82
 
6.0%
물 58
 
4.2%
악 54
 
3.9%
작 48
 
3.5%
제 47
 
3.4%
Other values (88) 369
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1104
80.3%
Space Separator 117
 
8.5%
Other Punctuation 96
 
7.0%
Uppercase Letter 48
 
3.5%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 252
22.8%
반 175
15.9%
영 84
 
7.6%
상 82
 
7.4%
물 58
 
5.3%
악 54
 
4.9%
작 48
 
4.3%
제 47
 
4.3%
디 28
 
2.5%
오 24
 
2.2%
Other values (70) 252
22.8%
Uppercase Letter
ValueCountFrequency (%)
D 13
27.1%
C 10
20.8%
S 7
14.6%
U 4
 
8.3%
B 3
 
6.2%
V 3
 
6.2%
L 2
 
4.2%
O 2
 
4.2%
T 2
 
4.2%
A 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 88
91.7%
. 6
 
6.2%
/ 2
 
2.1%
Space Separator
ValueCountFrequency (%)
117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1104
80.3%
Common 221
 
16.1%
Latin 49
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 252
22.8%
반 175
15.9%
영 84
 
7.6%
상 82
 
7.4%
물 58
 
5.3%
악 54
 
4.9%
작 48
 
4.3%
제 47
 
4.3%
디 28
 
2.5%
오 24
 
2.2%
Other values (70) 252
22.8%
Latin
ValueCountFrequency (%)
D 13
26.5%
C 10
20.4%
S 7
14.3%
U 4
 
8.2%
B 3
 
6.1%
V 3
 
6.1%
L 2
 
4.1%
O 2
 
4.1%
T 2
 
4.1%
A 1
 
2.0%
Other values (2) 2
 
4.1%
Common
ValueCountFrequency (%)
117
52.9%
, 88
39.8%
. 6
 
2.7%
) 4
 
1.8%
( 4
 
1.8%
/ 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1104
80.3%
ASCII 270
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 252
22.8%
반 175
15.9%
영 84
 
7.6%
상 82
 
7.4%
물 58
 
5.3%
악 54
 
4.9%
작 48
 
4.3%
제 47
 
4.3%
디 28
 
2.5%
오 24
 
2.2%
Other values (70) 252
22.8%
ASCII
ValueCountFrequency (%)
117
43.3%
, 88
32.6%
D 13
 
4.8%
C 10
 
3.7%
S 7
 
2.6%
. 6
 
2.2%
) 4
 
1.5%
( 4
 
1.5%
U 4
 
1.5%
B 3
 
1.1%
Other values (8) 14
 
5.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)83.6%
Missing249
Missing (%)80.3%
Infinite0
Infinite (%)0.0%
Mean105.77328
Minimum0
Maximum611.9
Zeros7
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T06:02:40.536779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.97
median68.28
Q3147
95-th percentile298
Maximum611.9
Range611.9
Interquartile range (IQR)114.03

Descriptive statistics

Standard deviation122.01413
Coefficient of variation (CV)1.1535439
Kurtosis7.8395689
Mean105.77328
Median Absolute Deviation (MAD)50.28
Skewness2.5229706
Sum6452.17
Variance14887.447
MonotonicityNot monotonic
2024-05-11T06:02:41.129079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
2.3%
50.0 2
 
0.6%
59.0 2
 
0.6%
99.0 2
 
0.6%
20.0 2
 
0.6%
10.0 1
 
0.3%
165.05 1
 
0.3%
201.93 1
 
0.3%
130.0 1
 
0.3%
133.35 1
 
0.3%
Other values (41) 41
 
13.2%
(Missing) 249
80.3%
ValueCountFrequency (%)
0.0 7
2.3%
3.3 1
 
0.3%
7.0 1
 
0.3%
10.0 1
 
0.3%
18.0 1
 
0.3%
19.8 1
 
0.3%
20.0 2
 
0.6%
30.0 1
 
0.3%
32.97 1
 
0.3%
33.5 1
 
0.3%
ValueCountFrequency (%)
611.9 1
0.3%
591.81 1
0.3%
396.76 1
0.3%
298.0 1
0.3%
229.38 1
0.3%
222.5 1
0.3%
201.93 1
0.3%
194.27 1
0.3%
193.89 1
0.3%
178.22 1
0.3%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
288 
0
 
18
3
 
2
4
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.7870968
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 288
92.9%
0 18
 
5.8%
3 2
 
0.6%
4 1
 
0.3%
7 1
 
0.3%

Length

2024-05-11T06:02:41.662037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:42.080767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
92.9%
0 18
 
5.8%
3 2
 
0.6%
4 1
 
0.3%
7 1
 
0.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
289 
0
 
18
1
 
3

Length

Max length4
Median length4
Mean length3.7967742
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> 289
93.2%
0 18
 
5.8%
1 3
 
1.0%

Length

2024-05-11T06:02:42.518176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:42.872616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 289
93.2%
0 18
 
5.8%
1 3
 
1.0%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing309
Missing (%)99.7%
Memory size2.6 KiB
2024-05-11T06:02:43.211070image/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%
2024-05-11T06:02:44.035097image/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 size2.6 KiB
<NA>
292 
0
 
18

Length

Max length4
Median length4
Mean length3.8258065
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> 292
94.2%
0 18
 
5.8%

Length

2024-05-11T06:02:44.516793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:44.873935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
94.2%
0 18
 
5.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
292 
0
 
18

Length

Max length4
Median length4
Mean length3.8258065
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> 292
94.2%
0 18
 
5.8%

Length

2024-05-11T06:02:45.371200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:45.771983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
94.2%
0 18
 
5.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
292 
0
 
18

Length

Max length4
Median length4
Mean length3.8258065
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> 292
94.2%
0 18
 
5.8%

Length

2024-05-11T06:02:46.210978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:46.730355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
94.2%
0 18
 
5.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
292 
0
 
18

Length

Max length4
Median length4
Mean length3.8258065
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> 292
94.2%
0 18
 
5.8%

Length

2024-05-11T06:02:47.093312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:47.475857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
94.2%
0 18
 
5.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
292 
0
 
18

Length

Max length4
Median length4
Mean length3.8258065
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> 292
94.2%
0 18
 
5.8%

Length

2024-05-11T06:02:47.874462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:48.316621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 292
94.2%
0 18
 
5.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing310
Missing (%)100.0%
Memory size2.9 KiB

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing309
Missing (%)99.7%
Memory size2.6 KiB
2024-05-11T06:02:48.641514image/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 row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2024-05-11T06:02:49.432981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 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%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 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%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 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%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF324106199300000119930111<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2106-2562<NA><NA>서울특별시 서초구 서초동 ****-**번지 예당빌딩서울특별시 서초구 반포대로**길 ** (서초동,예당빌딩)<NA>(주)예당컴퍼니2013-01-21 11:28:29I2018-08-31 23:59:59.0<NA>200947.095007442884.973043음반.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>
13210000CDFF324106199900000119990531<NA>1영업/정상13영업중<NA><NA><NA><NA>525-5416<NA>137860서울특별시 서초구 서초동 ****-*번지 삼동빌딩 지층서울특별시 서초구 효령로**길 ** (서초동,삼동빌딩 지층)<NA>(주)경성미디어2006-05-19 15:43:59I2018-08-31 23:59:59.0<NA>202490.951136443272.339333음반.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>
23210000CDFF324106199900000219991004<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>137806서울특별시 서초구 반포동 **-*번지 팬빌딩 *층서울특별시 서초구 서래로 ** (반포동,팬빌딩 *층)<NA>(주)팬엔터테인먼트2007-10-26 10:28:26I2018-08-31 23:59:59.0<NA>199770.087431444045.757878음반.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>
33210000CDFF324106199900000319990915<NA>1영업/정상13영업중<NA><NA><NA><NA>3486-1663<NA>137851서울특별시 서초구 방배동 ****-*번지 태영교역빌딩 *층서울특별시 서초구 남부순환로 ****-* (방배동,태영교역빌딩 *층)<NA>작스미디어2006-06-28 10:42:00I2018-08-31 23:59:59.0<NA>199944.605866441404.751021음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43210000CDFF324106199900000419990921<NA>3폐업3폐업20150817<NA><NA><NA>3471-4150<NA><NA>서울특별시 서초구 서초동 ****-*번지서울특별시 서초구 서운로 ** (서초동)<NA>마코뮤직2015-08-17 17:11:41I2018-08-31 23:59:59.0<NA>202481.661169442563.269272음반.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>
53210000CDFF324106199900000519991004<NA>1영업/정상13영업중<NA><NA><NA><NA>593-8760<NA>137837서울특별시 서초구 방배동 ***-**번지서울특별시 서초구 방배로 *** (방배동)<NA>서울팝스오케스트라2006-06-28 11:41:50I2018-08-31 23:59:59.0<NA>199216.085809443068.772469음반.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>
63210000CDFF324106199900000619991105<NA>1영업/정상13영업중<NA><NA><NA><NA>3486-8917<NA>137858서울특별시 서초구 서초동 ****-*번지 ASIC벤처타운 *층서울특별시 서초구 서초대로**길 ** (서초동,ASIC벤처타운 *층)<NA>모아미디어2006-06-28 11:50:01I2018-08-31 23:59:59.0<NA>202408.927424443494.434121음반.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>
73210000CDFF324106199900000719990906<NA>3폐업3폐업20060725<NA><NA><NA>3481-1225<NA>137830서울특별시 서초구 방배동 ***-**번지 ***호서울특별시 서초구 동광로**길 **, ***호 (방배동)<NA>라스미디어2006-07-31 11:14:39I2018-08-31 23:59:59.0<NA>198682.690483443325.950295음반.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>
83210000CDFF324106199900000819990907<NA>3폐업3폐업20061030<NA><NA><NA><NA><NA>137890서울특별시 서초구 양재동 **-**번지 정우빌딩 *층서울특별시 서초구 양재천로**길 ** (양재동,정우빌딩 *층)<NA>쎄텍(주)2006-11-01 11:46:06I2018-08-31 23:59:59.0<NA>203394.59441580.695음반.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>
93210000CDFF324106199900000919990401<NA>3폐업3폐업20070607<NA><NA><NA><NA><NA>137857서울특별시 서초구 서초동 ****-**번지서울특별시 서초구 서초대로 *** (서초동)<NA>한솔텔레컴(주)2007-06-07 16:33:27I2018-08-31 23:59:59.0<NA>202152.435829443826.911881음반.음악영상물제작업유통관련업<NA><NA>비디오물제작업<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
3003210000CDFF32410620240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 ***-**서울특별시 서초구 서래로*길 **, *층 (반포동)6575주식회사 까미노엔터테인먼트2024-01-09 10:29:59I2023-11-30 23:01:00.0<NA>199471.692392443976.367414<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>
3013210000CDFF32410620240000022024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 애서니움빌딩서울특별시 서초구 강남대로**길 **, 애서니움빌딩 *층 ***호 (서초동)6734주식회사 레아스타2024-01-12 10:58:39I2023-11-30 23:04:00.0<NA>202663.207573442495.141677<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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