Overview

Dataset statistics

Number of variables56
Number of observations102
Missing cells2908
Missing cells (%)50.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.5 KiB
Average record size in memory487.3 B

Variable types

Categorical17
Text7
DateTime3
Unsupported22
Numeric7

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17804/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지하층수 is highly imbalanced (54.9%)Imbalance
건물용도명 is highly imbalanced (65.6%)Imbalance
통로너비 is highly imbalanced (63.9%)Imbalance
조명시설조도 is highly imbalanced (63.9%)Imbalance
노래방실수 is highly imbalanced (63.9%)Imbalance
청소년실수 is highly imbalanced (63.9%)Imbalance
총게임기수 is highly imbalanced (63.9%)Imbalance
지역구분명 is highly imbalanced (70.7%)Imbalance
인허가취소일자 has 102 (100.0%) missing valuesMissing
폐업일자 has 79 (77.5%) missing valuesMissing
휴업시작일자 has 102 (100.0%) missing valuesMissing
휴업종료일자 has 102 (100.0%) missing valuesMissing
재개업일자 has 102 (100.0%) missing valuesMissing
전화번호 has 51 (50.0%) missing valuesMissing
소재지면적 has 102 (100.0%) missing valuesMissing
소재지우편번호 has 75 (73.5%) missing valuesMissing
도로명주소 has 6 (5.9%) missing valuesMissing
도로명우편번호 has 35 (34.3%) missing valuesMissing
업태구분명 has 102 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.9%) missing valuesMissing
좌표정보(Y) has 4 (3.9%) missing valuesMissing
총층수 has 89 (87.3%) missing valuesMissing
주변환경명 has 100 (98.0%) missing valuesMissing
제작취급품목내용 has 59 (57.8%) missing valuesMissing
시설면적 has 75 (73.5%) missing valuesMissing
지상층수 has 87 (85.3%) missing valuesMissing
비상계단여부 has 102 (100.0%) missing valuesMissing
비상구여부 has 102 (100.0%) missing valuesMissing
자동환기여부 has 102 (100.0%) missing valuesMissing
청소년실여부 has 102 (100.0%) missing valuesMissing
특수조명여부 has 102 (100.0%) missing valuesMissing
방음시설여부 has 102 (100.0%) missing valuesMissing
비디오재생기명 has 102 (100.0%) missing valuesMissing
조명시설유무 has 102 (100.0%) missing valuesMissing
음향시설여부 has 102 (100.0%) missing valuesMissing
편의시설여부 has 102 (100.0%) missing valuesMissing
소방시설여부 has 102 (100.0%) missing valuesMissing
기존게임업외업종명 has 102 (100.0%) missing valuesMissing
제공게임물명 has 102 (100.0%) missing valuesMissing
공연장형태구분명 has 102 (100.0%) missing valuesMissing
품목명 has 102 (100.0%) missing valuesMissing
최초등록시점 has 102 (100.0%) 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
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
총층수 has 6 (5.9%) zerosZeros
시설면적 has 5 (4.9%) zerosZeros
지상층수 has 6 (5.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:27:44.537459
Analysis finished2024-04-29 19:27:45.436702
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
3020000
102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 102
100.0%

Length

2024-04-30T04:27:45.495261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:45.572907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 102
100.0%

관리번호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-04-30T04:27:45.730098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2040
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

Unique102 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061988000001
2nd rowCDFF3241061999000001
3rd rowCDFF3241061999000002
4th rowCDFF3241061999000003
5th rowCDFF3241061999000004
ValueCountFrequency (%)
cdff3241061988000001 1
 
1.0%
cdff3241062019000004 1
 
1.0%
cdff3241062021000002 1
 
1.0%
cdff3241062021000001 1
 
1.0%
cdff3241062020000005 1
 
1.0%
cdff3241062020000004 1
 
1.0%
cdff3241062020000003 1
 
1.0%
cdff3241062020000002 1
 
1.0%
cdff3241062020000001 1
 
1.0%
cdff3241062019000007 1
 
1.0%
Other values (92) 92
90.2%
2024-04-30T04:27:45.996912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 742
36.4%
2 269
 
13.2%
F 204
 
10.0%
1 191
 
9.4%
3 128
 
6.3%
4 125
 
6.1%
6 113
 
5.5%
C 102
 
5.0%
D 102
 
5.0%
9 33
 
1.6%
Other values (3) 31
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1632
80.0%
Uppercase Letter 408
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 742
45.5%
2 269
 
16.5%
1 191
 
11.7%
3 128
 
7.8%
4 125
 
7.7%
6 113
 
6.9%
9 33
 
2.0%
5 16
 
1.0%
7 9
 
0.6%
8 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 204
50.0%
C 102
25.0%
D 102
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1632
80.0%
Latin 408
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 742
45.5%
2 269
 
16.5%
1 191
 
11.7%
3 128
 
7.8%
4 125
 
7.7%
6 113
 
6.9%
9 33
 
2.0%
5 16
 
1.0%
7 9
 
0.6%
8 6
 
0.4%
Latin
ValueCountFrequency (%)
F 204
50.0%
C 102
25.0%
D 102
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 742
36.4%
2 269
 
13.2%
F 204
 
10.0%
1 191
 
9.4%
3 128
 
6.3%
4 125
 
6.1%
6 113
 
5.5%
C 102
 
5.0%
D 102
 
5.0%
9 33
 
1.6%
Other values (3) 31
 
1.5%

인허가일자
Date

Distinct99
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum1988-04-11 00:00:00
Maximum2024-03-25 00:00:00
2024-04-30T04:27:46.125074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:46.243353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
1
79 
3
19 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 79
77.5%
3 19
 
18.6%
5 4
 
3.9%

Length

2024-04-30T04:27:46.372914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:46.461979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
77.5%
3 19
 
18.6%
5 4
 
3.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
영업/정상
79 
폐업
19 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.5588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 79
77.5%
폐업 19
 
18.6%
제외/삭제/전출 4
 
3.9%

Length

2024-04-30T04:27:46.552799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:46.638307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 79
77.5%
폐업 19
 
18.6%
제외/삭제/전출 4
 
3.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
13
79 
3
19 
15
 
4

Length

Max length2
Median length2
Mean length1.8137255
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 79
77.5%
3 19
 
18.6%
15 4
 
3.9%

Length

2024-04-30T04:27:46.723234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:46.797918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 79
77.5%
3 19
 
18.6%
15 4
 
3.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
영업중
79 
폐업
19 
전출
 
4

Length

Max length3
Median length3
Mean length2.7745098
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 79
77.5%
폐업 19
 
18.6%
전출 4
 
3.9%

Length

2024-04-30T04:27:46.876544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:46.971839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 79
77.5%
폐업 19
 
18.6%
전출 4
 
3.9%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)100.0%
Missing79
Missing (%)77.5%
Memory size948.0 B
Minimum2009-01-22 00:00:00
Maximum2024-04-04 00:00:00
2024-04-30T04:27:47.049185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:47.144522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing51
Missing (%)50.0%
Memory size948.0 B
2024-04-30T04:27:47.336089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.4313725
Min length8

Characters and Unicode

Total characters481
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

Unique49 ?
Unique (%)96.1%

Sample

1st row793-3443
2nd row796-3532
3rd row793-0050
4th row702-5000
5th row3775-1271
ValueCountFrequency (%)
02-766-2019 2
 
3.9%
02-572-4482 1
 
2.0%
02-2223-6100 1
 
2.0%
02-719-7540 1
 
2.0%
710-7732 1
 
2.0%
597-5197 1
 
2.0%
795-8950 1
 
2.0%
713-3245 1
 
2.0%
02-701-6053 1
 
2.0%
02-793-7409 1
 
2.0%
Other values (40) 40
78.4%
2024-04-30T04:27:47.651475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75
15.6%
- 72
15.0%
7 65
13.5%
2 53
11.0%
9 40
8.3%
5 38
7.9%
3 32
6.7%
4 31
6.4%
1 29
 
6.0%
8 23
 
4.8%
Other values (2) 23
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
84.8%
Dash Punctuation 72
 
15.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
18.4%
7 65
15.9%
2 53
13.0%
9 40
9.8%
5 38
9.3%
3 32
7.8%
4 31
7.6%
1 29
 
7.1%
8 23
 
5.6%
6 22
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 481
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75
15.6%
- 72
15.0%
7 65
13.5%
2 53
11.0%
9 40
8.3%
5 38
7.9%
3 32
6.7%
4 31
6.4%
1 29
 
6.0%
8 23
 
4.8%
Other values (2) 23
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75
15.6%
- 72
15.0%
7 65
13.5%
2 53
11.0%
9 40
8.3%
5 38
7.9%
3 32
6.7%
4 31
6.4%
1 29
 
6.0%
8 23
 
4.8%
Other values (2) 23
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing75
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean140791.96
Minimum140113
Maximum140905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:47.756010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140113
5-th percentile140311.1
Q1140780
median140863
Q3140883
95-th percentile140898.9
Maximum140905
Range792
Interquartile range (IQR)103

Descriptive statistics

Standard deviation199.89526
Coefficient of variation (CV)0.0014197917
Kurtosis8.8639681
Mean140791.96
Median Absolute Deviation (MAD)30
Skewness-3.0606968
Sum3801383
Variance39958.114
MonotonicityNot monotonic
2024-04-30T04:27:47.851844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
140883 4
 
3.9%
140780 2
 
2.0%
140113 1
 
1.0%
140848 1
 
1.0%
140901 1
 
1.0%
140821 1
 
1.0%
140863 1
 
1.0%
140861 1
 
1.0%
140888 1
 
1.0%
140729 1
 
1.0%
Other values (13) 13
 
12.7%
(Missing) 75
73.5%
ValueCountFrequency (%)
140113 1
1.0%
140132 1
1.0%
140729 1
1.0%
140746 1
1.0%
140758 1
1.0%
140767 1
1.0%
140780 2
2.0%
140816 1
1.0%
140821 1
1.0%
140847 1
1.0%
ValueCountFrequency (%)
140905 1
 
1.0%
140901 1
 
1.0%
140894 1
 
1.0%
140893 1
 
1.0%
140888 1
 
1.0%
140883 4
3.9%
140882 1
 
1.0%
140880 1
 
1.0%
140876 1
 
1.0%
140871 1
 
1.0%

지번주소
Text

Distinct88
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-04-30T04:27:48.065557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.107843
Min length18

Characters and Unicode

Total characters2663
Distinct characters131
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

Unique79 ?
Unique (%)77.5%

Sample

1st row서울특별시 용산구 한강로*가 **-***번지 에버빌딩
2nd row서울특별시 용산구 한남동 ***-*번지
3rd row서울특별시 용산구 한강로*가 **-****번지
4th row서울특별시 용산구 원효로*가 원효전자 *동 *층 ***호
5th row서울특별시 용산구 한강로*가 **-***번지 에버빌딩 *층
ValueCountFrequency (%)
서울특별시 102
20.3%
용산구 102
20.3%
번지 57
11.4%
41
 
8.2%
한강로*가 27
 
5.4%
호 17
 
3.4%
한남동 16
 
3.2%
층 15
 
3.0%
원효로*가 12
 
2.4%
이태원동 9
 
1.8%
Other values (64) 104
20.7%
2024-04-30T04:27:48.399246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 515
19.3%
465
17.5%
산 115
 
4.3%
용 114
 
4.3%
서 107
 
4.0%
울 103
 
3.9%
특 102
 
3.8%
별 102
 
3.8%
시 102
 
3.8%
구 102
 
3.8%
Other values (121) 836
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1566
58.8%
Other Punctuation 515
 
19.3%
Space Separator 465
 
17.5%
Dash Punctuation 85
 
3.2%
Uppercase Letter 22
 
0.8%
Lowercase Letter 4
 
0.2%
Decimal Number 4
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 115
 
7.3%
용 114
 
7.3%
서 107
 
6.8%
울 103
 
6.6%
특 102
 
6.5%
별 102
 
6.5%
시 102
 
6.5%
구 102
 
6.5%
동 76
 
4.9%
지 66
 
4.2%
Other values (100) 577
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
18.2%
Y 4
18.2%
H 4
18.2%
E 4
18.2%
G 1
 
4.5%
L 1
 
4.5%
C 1
 
4.5%
U 1
 
4.5%
N 1
 
4.5%
A 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
5 1
25.0%
6 1
25.0%
3 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 3
75.0%
k 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
* 515
100.0%
Space Separator
ValueCountFrequency (%)
465
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1566
58.8%
Common 1071
40.2%
Latin 26
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 115
 
7.3%
용 114
 
7.3%
서 107
 
6.8%
울 103
 
6.6%
특 102
 
6.5%
별 102
 
6.5%
시 102
 
6.5%
구 102
 
6.5%
동 76
 
4.9%
지 66
 
4.2%
Other values (100) 577
36.8%
Latin
ValueCountFrequency (%)
B 4
15.4%
Y 4
15.4%
H 4
15.4%
E 4
15.4%
c 3
11.5%
G 1
 
3.8%
L 1
 
3.8%
C 1
 
3.8%
k 1
 
3.8%
U 1
 
3.8%
Other values (2) 2
7.7%
Common
ValueCountFrequency (%)
* 515
48.1%
465
43.4%
- 85
 
7.9%
( 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1566
58.8%
ASCII 1097
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 515
46.9%
465
42.4%
- 85
 
7.7%
B 4
 
0.4%
Y 4
 
0.4%
H 4
 
0.4%
E 4
 
0.4%
c 3
 
0.3%
G 1
 
0.1%
L 1
 
0.1%
Other values (11) 11
 
1.0%
Hangul
ValueCountFrequency (%)
산 115
 
7.3%
용 114
 
7.3%
서 107
 
6.8%
울 103
 
6.6%
특 102
 
6.5%
별 102
 
6.5%
시 102
 
6.5%
구 102
 
6.5%
동 76
 
4.9%
지 66
 
4.2%
Other values (100) 577
36.8%

도로명주소
Text

MISSING 

Distinct88
Distinct (%)91.7%
Missing6
Missing (%)5.9%
Memory size948.0 B
2024-04-30T04:27:48.635353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length33.979167
Min length24

Characters and Unicode

Total characters3262
Distinct characters152
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

Unique82 ?
Unique (%)85.4%

Sample

1st row서울특별시 용산구 한강대로**길 ** (한강로*가,에버빌딩)
2nd row서울특별시 용산구 이태원로 ***-** (한남동)
3rd row서울특별시 용산구 한강대로**길 ** (한강로*가,에버빌딩 *층)
4th row서울특별시 용산구 원효로**길 ** (원효로*가,*층)
5th row서울특별시 용산구 청파로**나길 * (청파동*가)
ValueCountFrequency (%)
98
16.2%
서울특별시 96
15.9%
용산구 96
15.9%
층 37
 
6.1%
호 27
 
4.5%
한강로*가 17
 
2.8%
한남동 15
 
2.5%
한강대로 14
 
2.3%
한강대로**길 10
 
1.7%
원효로*가 8
 
1.3%
Other values (107) 186
30.8%
2024-04-30T04:27:48.992604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 533
 
16.3%
530
 
16.2%
로 130
 
4.0%
용 109
 
3.3%
산 108
 
3.3%
서 104
 
3.2%
, 101
 
3.1%
울 97
 
3.0%
) 97
 
3.0%
( 97
 
3.0%
Other values (142) 1356
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1859
57.0%
Other Punctuation 634
 
19.4%
Space Separator 530
 
16.2%
Close Punctuation 97
 
3.0%
Open Punctuation 97
 
3.0%
Uppercase Letter 22
 
0.7%
Dash Punctuation 13
 
0.4%
Decimal Number 5
 
0.2%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 130
 
7.0%
용 109
 
5.9%
산 108
 
5.8%
서 104
 
5.6%
울 97
 
5.2%
특 96
 
5.2%
별 96
 
5.2%
시 96
 
5.2%
구 96
 
5.2%
한 79
 
4.2%
Other values (120) 848
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
22.7%
H 4
18.2%
Y 4
18.2%
E 4
18.2%
N 1
 
4.5%
C 1
 
4.5%
L 1
 
4.5%
U 1
 
4.5%
G 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
2 1
20.0%
1 1
20.0%
3 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 533
84.1%
, 101
 
15.9%
Lowercase Letter
ValueCountFrequency (%)
c 3
75.0%
k 1
 
25.0%
Space Separator
ValueCountFrequency (%)
530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1859
57.0%
Common 1377
42.2%
Latin 26
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 130
 
7.0%
용 109
 
5.9%
산 108
 
5.8%
서 104
 
5.6%
울 97
 
5.2%
특 96
 
5.2%
별 96
 
5.2%
시 96
 
5.2%
구 96
 
5.2%
한 79
 
4.2%
Other values (120) 848
45.6%
Common
ValueCountFrequency (%)
* 533
38.7%
530
38.5%
, 101
 
7.3%
) 97
 
7.0%
( 97
 
7.0%
- 13
 
0.9%
4 2
 
0.1%
2 1
 
0.1%
~ 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
B 5
19.2%
H 4
15.4%
Y 4
15.4%
E 4
15.4%
c 3
11.5%
N 1
 
3.8%
k 1
 
3.8%
C 1
 
3.8%
L 1
 
3.8%
U 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1859
57.0%
ASCII 1403
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 533
38.0%
530
37.8%
, 101
 
7.2%
) 97
 
6.9%
( 97
 
6.9%
- 13
 
0.9%
B 5
 
0.4%
H 4
 
0.3%
Y 4
 
0.3%
E 4
 
0.3%
Other values (12) 15
 
1.1%
Hangul
ValueCountFrequency (%)
로 130
 
7.0%
용 109
 
5.9%
산 108
 
5.8%
서 104
 
5.6%
울 97
 
5.2%
특 96
 
5.2%
별 96
 
5.2%
시 96
 
5.2%
구 96
 
5.2%
한 79
 
4.2%
Other values (120) 848
45.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)68.7%
Missing35
Missing (%)34.3%
Infinite0
Infinite (%)0.0%
Mean8443.2388
Minimum4300
Maximum140891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:49.100435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4312.9
Q14341.5
median4376
Q34392
95-th percentile4424.2
Maximum140891
Range136591
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation23404.445
Coefficient of variation (CV)2.7719748
Kurtosis30.875359
Mean8443.2388
Median Absolute Deviation (MAD)27
Skewness5.652797
Sum565697
Variance5.4776805 × 108
MonotonicityNot monotonic
2024-04-30T04:27:49.206603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4389 6
 
5.9%
4370 4
 
3.9%
4315 3
 
2.9%
4376 3
 
2.9%
4392 3
 
2.9%
4382 3
 
2.9%
4419 2
 
2.0%
4374 2
 
2.0%
4366 2
 
2.0%
4417 2
 
2.0%
Other values (36) 37
36.3%
(Missing) 35
34.3%
ValueCountFrequency (%)
4300 1
 
1.0%
4302 1
 
1.0%
4303 1
 
1.0%
4312 1
 
1.0%
4315 3
2.9%
4316 1
 
1.0%
4322 1
 
1.0%
4327 1
 
1.0%
4328 2
2.0%
4329 1
 
1.0%
ValueCountFrequency (%)
140891 1
1.0%
140848 1
1.0%
4427 1
1.0%
4426 1
1.0%
4420 1
1.0%
4419 2
2.0%
4418 1
1.0%
4417 2
2.0%
4413 1
1.0%
4411 1
1.0%

사업장명
Text

Distinct99
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-04-30T04:27:49.410402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length15
Mean length9
Min length2

Characters and Unicode

Total characters918
Distinct characters220
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

Unique97 ?
Unique (%)95.1%

Sample

1st row(주)에버그린미디어
2nd row드림스케이프
3rd row21세기음반
4th row한국디지탈
5th row(주)뮤직디자인
ValueCountFrequency (%)
주식회사 17
 
11.7%
엔터테인먼트 3
 
2.1%
골드 3
 
2.1%
금강상회 2
 
1.4%
소소전파사 1
 
0.7%
금반지레코드 1
 
0.7%
제드웍스 1
 
0.7%
코리아 1
 
0.7%
주)에잇펙스 1
 
0.7%
엠아이뮤직 1
 
0.7%
Other values (114) 114
78.6%
2024-04-30T04:27:49.733688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 52
 
5.7%
43
 
4.7%
( 41
 
4.5%
) 41
 
4.5%
스 29
 
3.2%
이 23
 
2.5%
트 22
 
2.4%
사 21
 
2.3%
회 20
 
2.2%
식 17
 
1.9%
Other values (210) 609
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 691
75.3%
Uppercase Letter 48
 
5.2%
Space Separator 43
 
4.7%
Open Punctuation 42
 
4.6%
Close Punctuation 42
 
4.6%
Lowercase Letter 39
 
4.2%
Decimal Number 8
 
0.9%
Other Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 52
 
7.5%
스 29
 
4.2%
이 23
 
3.3%
트 22
 
3.2%
사 21
 
3.0%
회 20
 
2.9%
식 17
 
2.5%
아 17
 
2.5%
테 16
 
2.3%
터 15
 
2.2%
Other values (164) 459
66.4%
Uppercase Letter
ValueCountFrequency (%)
T 6
12.5%
E 6
12.5%
A 5
10.4%
I 4
8.3%
L 4
8.3%
N 4
8.3%
R 3
 
6.2%
S 3
 
6.2%
M 2
 
4.2%
J 2
 
4.2%
Other values (8) 9
18.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
15.4%
d 5
12.8%
u 4
10.3%
a 3
7.7%
t 3
7.7%
e 3
7.7%
m 3
7.7%
r 2
 
5.1%
i 2
 
5.1%
c 2
 
5.1%
Other values (6) 6
15.4%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 2
25.0%
9 2
25.0%
7 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
& 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 41
97.6%
[ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 41
97.6%
] 1
 
2.4%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 691
75.3%
Common 140
 
15.3%
Latin 87
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 52
 
7.5%
스 29
 
4.2%
이 23
 
3.3%
트 22
 
3.2%
사 21
 
3.0%
회 20
 
2.9%
식 17
 
2.5%
아 17
 
2.5%
테 16
 
2.3%
터 15
 
2.2%
Other values (164) 459
66.4%
Latin
ValueCountFrequency (%)
o 6
 
6.9%
T 6
 
6.9%
E 6
 
6.9%
d 5
 
5.7%
A 5
 
5.7%
u 4
 
4.6%
I 4
 
4.6%
L 4
 
4.6%
N 4
 
4.6%
R 3
 
3.4%
Other values (24) 40
46.0%
Common
ValueCountFrequency (%)
43
30.7%
( 41
29.3%
) 41
29.3%
2 3
 
2.1%
. 3
 
2.1%
1 2
 
1.4%
9 2
 
1.4%
, 1
 
0.7%
& 1
 
0.7%
7 1
 
0.7%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 691
75.3%
ASCII 227
 
24.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 52
 
7.5%
스 29
 
4.2%
이 23
 
3.3%
트 22
 
3.2%
사 21
 
3.0%
회 20
 
2.9%
식 17
 
2.5%
아 17
 
2.5%
테 16
 
2.3%
터 15
 
2.2%
Other values (164) 459
66.4%
ASCII
ValueCountFrequency (%)
43
18.9%
( 41
18.1%
) 41
18.1%
o 6
 
2.6%
T 6
 
2.6%
E 6
 
2.6%
d 5
 
2.2%
A 5
 
2.2%
u 4
 
1.8%
I 4
 
1.8%
Other values (36) 66
29.1%

최종수정일자
Date

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2006-04-03 15:27:59
Maximum2024-04-04 16:00:43
2024-04-30T04:27:49.860853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:27:49.992167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
I
78 
U
24 

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 78
76.5%
U 24
 
23.5%

Length

2024-04-30T04:27:50.092008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:50.167973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
76.5%
u 24
 
23.5%

데이터갱신일자
Categorical

Distinct50
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2018-08-31 23:59:59.0
51 
2021-10-31 23:02:00.0
 
2
2023-12-04 00:06:00.0
 
2
2021-01-09 00:23:05.0
 
1
2021-04-02 02:40:00.0
 
1
Other values (45)
45 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique47 ?
Unique (%)46.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 51
50.0%
2021-10-31 23:02:00.0 2
 
2.0%
2023-12-04 00:06:00.0 2
 
2.0%
2021-01-09 00:23:05.0 1
 
1.0%
2021-04-02 02:40:00.0 1
 
1.0%
2021-02-12 00:23:02.0 1
 
1.0%
2022-10-31 22:06:00.0 1
 
1.0%
2019-05-30 02:40:00.0 1
 
1.0%
2019-04-25 02:40:00.0 1
 
1.0%
2022-11-30 22:07:00.0 1
 
1.0%
Other values (40) 40
39.2%

Length

2024-04-30T04:27:50.243490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 51
25.0%
23:59:59.0 51
25.0%
02:40:00.0 13
 
6.4%
00:22:50.0 3
 
1.5%
2023-12-02 3
 
1.5%
23:02:00.0 3
 
1.5%
2021-10-31 3
 
1.5%
00:06:00.0 2
 
1.0%
22:07:00.0 2
 
1.0%
2021-12-07 2
 
1.0%
Other values (61) 71
34.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)82.7%
Missing4
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean197864.44
Minimum195793.01
Maximum200904.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:50.343048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195793.01
5-th percentile196213.93
Q1196770.72
median197306.03
Q3199167.26
95-th percentile200506.63
Maximum200904.98
Range5111.9736
Interquartile range (IQR)2396.5404

Descriptive statistics

Standard deviation1443.3532
Coefficient of variation (CV)0.0072946569
Kurtosis-0.84369382
Mean197864.44
Median Absolute Deviation (MAD)692.12411
Skewness0.70302049
Sum19390715
Variance2083268.5
MonotonicityNot monotonic
2024-04-30T04:27:50.452047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196626.703937177 4
 
3.9%
196778.495551647 4
 
3.9%
197075.435249414 3
 
2.9%
197117.41843467 2
 
2.0%
196934.704165646 2
 
2.0%
199962.801930928 2
 
2.0%
199218.006960189 2
 
2.0%
196346.474629864 2
 
2.0%
196672.420900332 2
 
2.0%
197338.915067396 2
 
2.0%
Other values (71) 73
71.6%
(Missing) 4
 
3.9%
ValueCountFrequency (%)
195793.00799323 1
1.0%
195846.05238755 1
1.0%
195956.83241222 1
1.0%
196042.960109242 1
1.0%
196176.721461568 1
1.0%
196220.491772014 1
1.0%
196230.759299252 1
1.0%
196247.969298964 1
1.0%
196346.474629864 2
2.0%
196561.939927535 1
1.0%
ValueCountFrequency (%)
200904.981638331 1
1.0%
200799.100104436 1
1.0%
200740.35198837 1
1.0%
200722.134530525 1
1.0%
200716.766380692 1
1.0%
200469.550120301 1
1.0%
200423.418748471 1
1.0%
200376.43915446 1
1.0%
200353.684497772 1
1.0%
200205.757687339 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)82.7%
Missing4
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean448057.99
Minimum446201.32
Maximum450189.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:50.739383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446201.32
5-th percentile446848.07
Q1447331.35
median447999.71
Q3448474.92
95-th percentile449963.46
Maximum450189.74
Range3988.4244
Interquartile range (IQR)1143.57

Descriptive statistics

Standard deviation935.52577
Coefficient of variation (CV)0.0020879569
Kurtosis-0.26437276
Mean448057.99
Median Absolute Deviation (MAD)587.69159
Skewness0.51379063
Sum43909683
Variance875208.47
MonotonicityNot monotonic
2024-04-30T04:27:50.864416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448008.893008533 4
 
3.9%
446947.960824067 4
 
3.9%
446801.359490614 3
 
2.9%
447527.338271365 2
 
2.0%
450189.739550615 2
 
2.0%
447985.640138761 2
 
2.0%
447693.259192926 2
 
2.0%
447999.712610216 2
 
2.0%
447097.911760459 2
 
2.0%
446893.484429691 2
 
2.0%
Other values (71) 73
71.6%
(Missing) 4
 
3.9%
ValueCountFrequency (%)
446201.315141801 1
 
1.0%
446221.69071399 1
 
1.0%
446801.359490614 3
2.9%
446856.31859052 1
 
1.0%
446893.484429691 2
2.0%
446931.975248096 2
2.0%
446947.960824067 4
3.9%
447043.764420482 1
 
1.0%
447073.62284187 1
 
1.0%
447089.993680823 1
 
1.0%
ValueCountFrequency (%)
450189.739550615 2
2.0%
450063.434682284 1
1.0%
450060.758435092 1
1.0%
449991.611230574 1
1.0%
449958.486638693 1
1.0%
449711.539621321 1
1.0%
449667.471845685 1
1.0%
449616.580679006 1
1.0%
449484.351052485 1
1.0%
449459.310730471 1
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
음반.음악영상물제작업
79 
<NA>
23 

Length

Max length11
Median length11
Mean length9.4215686
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 79
77.5%
<NA> 23
 
22.5%

Length

2024-04-30T04:27:50.986567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:51.085371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 79
77.5%
na 23
 
22.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
유통관련업
79 
<NA>
23 

Length

Max length5
Median length5
Mean length4.7745098
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 79
77.5%
<NA> 23
 
22.5%

Length

2024-04-30T04:27:51.183723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:51.259647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 79
77.5%
na 23
 
22.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing89
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean3.9230769
Minimum0
Maximum23
Zeros6
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:51.336044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile14
Maximum23
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.3042517
Coefficient of variation (CV)1.6069661
Kurtosis7.7822929
Mean3.9230769
Median Absolute Deviation (MAD)3
Skewness2.6135413
Sum51
Variance39.74359
MonotonicityNot monotonic
2024-04-30T04:27:51.416034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6
 
5.9%
3 2
 
2.0%
5 2
 
2.0%
8 1
 
1.0%
23 1
 
1.0%
4 1
 
1.0%
(Missing) 89
87.3%
ValueCountFrequency (%)
0 6
5.9%
3 2
 
2.0%
4 1
 
1.0%
5 2
 
2.0%
8 1
 
1.0%
23 1
 
1.0%
ValueCountFrequency (%)
23 1
 
1.0%
8 1
 
1.0%
5 2
 
2.0%
4 1
 
1.0%
3 2
 
2.0%
0 6
5.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing100
Missing (%)98.0%
Memory size948.0 B
2024-04-30T04:27:51.490134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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 row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-04-30T04:27:51.656826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct36
Distinct (%)83.7%
Missing59
Missing (%)57.8%
Memory size948.0 B
2024-04-30T04:27:51.812797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.255814
Min length2

Characters and Unicode

Total characters398
Distinct characters67
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

Unique32 ?
Unique (%)74.4%

Sample

1st row음반(CD,TAPE)
2nd rowCD음반(대중가요)
3rd row음반
4th rowCD 등
5th row음반, DVD
ValueCountFrequency (%)
음반 16
18.6%
영상물 6
 
7.0%
제작 6
 
7.0%
음악 5
 
5.8%
및 5
 
5.8%
음악영상물 4
 
4.7%
등 3
 
3.5%
뮤직비디오 3
 
3.5%
음원 3
 
3.5%
dvd 2
 
2.3%
Other values (30) 33
38.4%
2024-04-30T04:27:52.099560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 56
14.1%
43
 
10.8%
반 31
 
7.8%
영 24
 
6.0%
상 24
 
6.0%
악 20
 
5.0%
물 20
 
5.0%
, 20
 
5.0%
제 15
 
3.8%
작 15
 
3.8%
Other values (57) 130
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
75.4%
Space Separator 43
 
10.8%
Uppercase Letter 24
 
6.0%
Other Punctuation 21
 
5.3%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 56
18.7%
반 31
10.3%
영 24
 
8.0%
상 24
 
8.0%
악 20
 
6.7%
물 20
 
6.7%
제 15
 
5.0%
작 15
 
5.0%
디 11
 
3.7%
오 8
 
2.7%
Other values (44) 76
25.3%
Uppercase Letter
ValueCountFrequency (%)
D 10
41.7%
C 6
25.0%
P 2
 
8.3%
V 2
 
8.3%
L 1
 
4.2%
E 1
 
4.2%
A 1
 
4.2%
T 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 20
95.2%
. 1
 
4.8%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
75.4%
Common 74
 
18.6%
Latin 24
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 56
18.7%
반 31
10.3%
영 24
 
8.0%
상 24
 
8.0%
악 20
 
6.7%
물 20
 
6.7%
제 15
 
5.0%
작 15
 
5.0%
디 11
 
3.7%
오 8
 
2.7%
Other values (44) 76
25.3%
Latin
ValueCountFrequency (%)
D 10
41.7%
C 6
25.0%
P 2
 
8.3%
V 2
 
8.3%
L 1
 
4.2%
E 1
 
4.2%
A 1
 
4.2%
T 1
 
4.2%
Common
ValueCountFrequency (%)
43
58.1%
, 20
27.0%
) 5
 
6.8%
( 5
 
6.8%
. 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
75.4%
ASCII 98
 
24.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 56
18.7%
반 31
10.3%
영 24
 
8.0%
상 24
 
8.0%
악 20
 
6.7%
물 20
 
6.7%
제 15
 
5.0%
작 15
 
5.0%
디 11
 
3.7%
오 8
 
2.7%
Other values (44) 76
25.3%
ASCII
ValueCountFrequency (%)
43
43.9%
, 20
20.4%
D 10
 
10.2%
C 6
 
6.1%
) 5
 
5.1%
( 5
 
5.1%
P 2
 
2.0%
V 2
 
2.0%
L 1
 
1.0%
E 1
 
1.0%
Other values (3) 3
 
3.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)77.8%
Missing75
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean73.23963
Minimum0
Maximum198.8
Zeros5
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:52.221789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.4
median70.09
Q3104.67
95-th percentile179.704
Maximum198.8
Range198.8
Interquartile range (IQR)75.27

Descriptive statistics

Standard deviation56.781603
Coefficient of variation (CV)0.77528523
Kurtosis-0.1237366
Mean73.23963
Median Absolute Deviation (MAD)40.09
Skewness0.54858298
Sum1977.47
Variance3224.1504
MonotonicityNot monotonic
2024-04-30T04:27:52.339762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 5
 
4.9%
87.38 2
 
2.0%
137.2 2
 
2.0%
102.0 1
 
1.0%
198.8 1
 
1.0%
59.55 1
 
1.0%
70.09 1
 
1.0%
75.98 1
 
1.0%
69.69 1
 
1.0%
106.83 1
 
1.0%
Other values (11) 11
 
10.8%
(Missing) 75
73.5%
ValueCountFrequency (%)
0.0 5
4.9%
27.0 1
 
1.0%
28.8 1
 
1.0%
30.0 1
 
1.0%
33.0 1
 
1.0%
36.0 1
 
1.0%
59.55 1
 
1.0%
60.8 1
 
1.0%
69.69 1
 
1.0%
70.09 1
 
1.0%
ValueCountFrequency (%)
198.8 1
1.0%
197.92 1
1.0%
137.2 2
2.0%
123.3 1
1.0%
121.22 1
1.0%
106.83 1
1.0%
102.51 1
1.0%
102.0 1
1.0%
87.38 2
2.0%
84.82 1
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)40.0%
Missing87
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum0
Maximum22
Zeros6
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-30T04:27:52.433760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile11.5
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.6086668
Coefficient of variation (CV)1.7527084
Kurtosis10.199616
Mean3.2
Median Absolute Deviation (MAD)2
Skewness3.0310607
Sum48
Variance31.457143
MonotonicityNot monotonic
2024-04-30T04:27:52.512295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6
 
5.9%
2 3
 
2.9%
4 3
 
2.9%
1 1
 
1.0%
7 1
 
1.0%
22 1
 
1.0%
(Missing) 87
85.3%
ValueCountFrequency (%)
0 6
5.9%
1 1
 
1.0%
2 3
2.9%
4 3
2.9%
7 1
 
1.0%
22 1
 
1.0%
ValueCountFrequency (%)
22 1
 
1.0%
7 1
 
1.0%
4 3
2.9%
2 3
2.9%
1 1
 
1.0%
0 6
5.9%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
88 
1
 
7
0
 
7

Length

Max length4
Median length4
Mean length3.5882353
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> 88
86.3%
1 7
 
6.9%
0 7
 
6.9%

Length

2024-04-30T04:27:52.605124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:52.682994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
86.3%
1 7
 
6.9%
0 7
 
6.9%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
88 
근린생활시설
 
8
사무실
 
3
다세대주택
 
2
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.254902
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
86.3%
근린생활시설 8
 
7.8%
사무실 3
 
2.9%
다세대주택 2
 
2.0%
다가구용 주택(공동주택적용) 1
 
1.0%

Length

2024-04-30T04:27:52.770448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:52.864063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
85.4%
근린생활시설 8
 
7.8%
사무실 3
 
2.9%
다세대주택 2
 
1.9%
다가구용 1
 
1.0%
주택(공동주택적용 1
 
1.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
95 
0
 
7

Length

Max length4
Median length4
Mean length3.7941176
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> 95
93.1%
0 7
 
6.9%

Length

2024-04-30T04:27:52.962611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:53.040162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
93.1%
0 7
 
6.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
95 
0
 
7

Length

Max length4
Median length4
Mean length3.7941176
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> 95
93.1%
0 7
 
6.9%

Length

2024-04-30T04:27:53.119586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:53.199884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
93.1%
0 7
 
6.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
95 
0
 
7

Length

Max length4
Median length4
Mean length3.7941176
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> 95
93.1%
0 7
 
6.9%

Length

2024-04-30T04:27:53.300469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:53.388166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
93.1%
0 7
 
6.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
95 
0
 
7

Length

Max length4
Median length4
Mean length3.7941176
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> 95
93.1%
0 7
 
6.9%

Length

2024-04-30T04:27:53.493163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:53.594018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
93.1%
0 7
 
6.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
95 
0
 
7

Length

Max length4
Median length4
Mean length3.7941176
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> 95
93.1%
0 7
 
6.9%

Length

2024-04-30T04:27:53.689303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:53.769645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
93.1%
0 7
 
6.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
91 
일반주거지역
 
9
상업지역
 
1
전용주거지역
 
1

Length

Max length6
Median length4
Mean length4.1960784
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
89.2%
일반주거지역 9
 
8.8%
상업지역 1
 
1.0%
전용주거지역 1
 
1.0%

Length

2024-04-30T04:27:53.862425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:27:53.958355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
89.2%
일반주거지역 9
 
8.8%
상업지역 1
 
1.0%
전용주거지역 1
 
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF324106198800000119880411<NA>1영업/정상13영업중<NA><NA><NA><NA>793-3443<NA>140883서울특별시 용산구 한강로*가 **-***번지 에버빌딩서울특별시 용산구 한강대로**길 ** (한강로*가,에버빌딩)<NA>(주)에버그린미디어2006-04-03 15:27:59I2018-08-31 23:59:59.0<NA>197075.435249446801.359491음반.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>
13020000CDFF324106199900000119991021<NA>1영업/정상13영업중<NA><NA><NA><NA>796-3532<NA>140893서울특별시 용산구 한남동 ***-*번지서울특별시 용산구 이태원로 ***-** (한남동)<NA>드림스케이프2006-04-03 15:29:52I2018-08-31 23:59:59.0<NA>199809.297056448168.661595음반.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>
23020000CDFF324106199900000219991109<NA>1영업/정상13영업중<NA><NA><NA><NA>793-0050<NA>140883서울특별시 용산구 한강로*가 **-****번지<NA><NA>21세기음반2006-04-03 15:30:07I2018-08-31 23:59:59.0<NA><NA><NA>음반.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>
33020000CDFF324106199900000319991123<NA>1영업/정상13영업중<NA><NA><NA><NA>702-5000<NA>140113서울특별시 용산구 원효로*가 원효전자 *동 *층 ***호<NA><NA>한국디지탈2006-04-03 15:30:25I2018-08-31 23:59:59.0<NA><NA><NA>음반.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>
43020000CDFF324106199900000419990305<NA>1영업/정상13영업중<NA><NA><NA><NA>3775-1271<NA>140883서울특별시 용산구 한강로*가 **-***번지 에버빌딩 *층서울특별시 용산구 한강대로**길 ** (한강로*가,에버빌딩 *층)<NA>(주)뮤직디자인2006-04-03 15:28:17I2018-08-31 23:59:59.0<NA>197075.435249446801.359491음반.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>
53020000CDFF324106199900000519990619<NA>3폐업3폐업20171228<NA><NA><NA>02-706-5245<NA>140848서울특별시 용산구 원효로*가 **-*번지 *층서울특별시 용산구 원효로**길 ** (원효로*가,*층)<NA>비앰코리아(주)2017-12-28 17:52:46I2018-08-31 23:59:59.0<NA>196247.969299448034.542191음반.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>
63020000CDFF324106199900000619990708<NA>1영업/정상13영업중<NA><NA><NA><NA>703-8653<NA>140132서울특별시 용산구 청파동*가 **-*번지서울특별시 용산구 청파로**나길 * (청파동*가)<NA>명립2006-04-03 15:28:58I2018-08-31 23:59:59.0<NA>196999.869048449223.952135음반.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>
73020000CDFF324106199900000719990719<NA>3폐업3폐업20100714<NA><NA><NA>793-3535<NA>140883서울특별시 용산구 한강로*가 **-***번지서울특별시 용산구 한강대로**길 ** (한강로*가)<NA>디지탈에버그린2010-07-14 15:36:45I2018-08-31 23:59:59.0<NA>197075.435249446801.359491음반.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>
83020000CDFF324106200000000120000214<NA>1영업/정상13영업중<NA><NA><NA><NA>718-6077<NA>140905서울특별시 용산구 원효로*가 **-*번지 조양빌딩 *층서울특별시 용산구 원효로 *** (원효로*가,조양빌딩 *층)<NA>(주)씨디플러스2006-04-03 15:30:41I2018-08-31 23:59:59.0<NA>196711.755093448218.182466음반.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>
93020000CDFF324106200000000220000424<NA>1영업/정상13영업중<NA><NA><NA><NA>798-4545<NA>140816서울특별시 용산구 동빙고동 ***-*번지 운산빌딩서울특별시 용산구 장문로 ** (동빙고동,운산빌딩)<NA>(주)씨아이에이엔터테인먼트2006-04-03 15:31:06I2018-08-31 23:59:59.0<NA>199383.085347447282.545573음반.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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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943020000CDFF32410620230000012023-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이촌동 ***-** (주)서울스튜디오서울특별시 용산구 이촌로**길 * (주)서울스튜디오 (이촌동)4426(주)서울스투디오2023-03-14 15:12:37I2022-12-02 23:06:00.0<NA>197965.084091446221.690714<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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983020000CDFF32410620230000052020-11-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 **-**서울특별시 용산구 녹사평대로**길 **, 유정빌딩 *층 (이태원동)4392아하 커뮤니케이션즈 주식회사2023-10-10 18:22:00I2022-10-30 23:02:00.0<NA>199458.265392447676.961164<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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1003020000CDFF32410620240000022021-04-13<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8164-0610<NA><NA>서울특별시 용산구 한강로*가 *** 용산푸르지오써밋서울특별시 용산구 한강대로 **, 업무동 ****호 (한강로*가, 용산푸르지오써밋)4378소소전파사2024-03-14 10:55:54I2023-12-02 23:06:00.0<NA>196861.350875447226.72051<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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