Overview

Dataset statistics

Number of variables56
Number of observations115
Missing cells3211
Missing cells (%)49.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.7 KiB
Average record size in memory487.1 B

Variable types

Categorical17
Text7
DateTime4
Unsupported22
Numeric6

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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17387/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (70.0%)Imbalance
지하층수 is highly imbalanced (62.7%)Imbalance
통로너비 is highly imbalanced (66.9%)Imbalance
조명시설조도 is highly imbalanced (66.9%)Imbalance
노래방실수 is highly imbalanced (66.9%)Imbalance
청소년실수 is highly imbalanced (66.9%)Imbalance
총게임기수 is highly imbalanced (66.9%)Imbalance
지역구분명 is highly imbalanced (74.6%)Imbalance
인허가취소일자 has 115 (100.0%) missing valuesMissing
폐업일자 has 82 (71.3%) missing valuesMissing
휴업시작일자 has 115 (100.0%) missing valuesMissing
휴업종료일자 has 115 (100.0%) missing valuesMissing
재개업일자 has 115 (100.0%) missing valuesMissing
전화번호 has 72 (62.6%) missing valuesMissing
소재지면적 has 115 (100.0%) missing valuesMissing
소재지우편번호 has 87 (75.7%) missing valuesMissing
도로명주소 has 4 (3.5%) missing valuesMissing
도로명우편번호 has 41 (35.7%) missing valuesMissing
업태구분명 has 115 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.7%) missing valuesMissing
좌표정보(Y) has 2 (1.7%) missing valuesMissing
주변환경명 has 112 (97.4%) missing valuesMissing
시설면적 has 71 (61.7%) missing valuesMissing
지상층수 has 99 (86.1%) missing valuesMissing
건물용도명 has 109 (94.8%) missing valuesMissing
비상계단여부 has 115 (100.0%) missing valuesMissing
비상구여부 has 115 (100.0%) missing valuesMissing
자동환기여부 has 115 (100.0%) missing valuesMissing
청소년실여부 has 115 (100.0%) missing valuesMissing
특수조명여부 has 115 (100.0%) missing valuesMissing
방음시설여부 has 115 (100.0%) missing valuesMissing
비디오재생기명 has 115 (100.0%) missing valuesMissing
조명시설유무 has 115 (100.0%) missing valuesMissing
음향시설여부 has 115 (100.0%) missing valuesMissing
편의시설여부 has 115 (100.0%) missing valuesMissing
소방시설여부 has 115 (100.0%) missing valuesMissing
기존게임업외업종명 has 115 (100.0%) missing valuesMissing
제공게임물명 has 115 (100.0%) missing valuesMissing
공연장형태구분명 has 115 (100.0%) missing valuesMissing
품목명 has 115 (100.0%) missing valuesMissing
최초등록시점 has 115 (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
지상층수 has 7 (6.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:34:30.088926
Analysis finished2024-05-11 05:34:31.228580
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3200000
115 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 115
100.0%

Length

2024-05-11T14:34:31.330121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:31.473494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 115
100.0%

관리번호
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:34:31.752184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2300
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

Unique115 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071994000001
2nd rowCDFF1241071994000002
3rd rowCDFF1241071994000003
4th rowCDFF1241071995000001
5th rowCDFF1241071998000001
ValueCountFrequency (%)
cdff1241071994000001 1
 
0.9%
cdff1241072017000005 1
 
0.9%
cdff1241072021000010 1
 
0.9%
cdff1241072021000009 1
 
0.9%
cdff1241072021000008 1
 
0.9%
cdff1241072021000007 1
 
0.9%
cdff1241072021000006 1
 
0.9%
cdff1241072021000005 1
 
0.9%
cdff1241072021000004 1
 
0.9%
cdff1241072021000003 1
 
0.9%
Other values (105) 105
91.3%
2024-05-11T14:34:32.323634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 836
36.3%
1 326
 
14.2%
2 309
 
13.4%
F 230
 
10.0%
4 137
 
6.0%
7 127
 
5.5%
C 115
 
5.0%
D 115
 
5.0%
3 36
 
1.6%
9 26
 
1.1%
Other values (3) 43
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1840
80.0%
Uppercase Letter 460
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 836
45.4%
1 326
 
17.7%
2 309
 
16.8%
4 137
 
7.4%
7 127
 
6.9%
3 36
 
2.0%
9 26
 
1.4%
8 16
 
0.9%
5 16
 
0.9%
6 11
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 230
50.0%
C 115
25.0%
D 115
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1840
80.0%
Latin 460
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 836
45.4%
1 326
 
17.7%
2 309
 
16.8%
4 137
 
7.4%
7 127
 
6.9%
3 36
 
2.0%
9 26
 
1.4%
8 16
 
0.9%
5 16
 
0.9%
6 11
 
0.6%
Latin
ValueCountFrequency (%)
F 230
50.0%
C 115
25.0%
D 115
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 836
36.3%
1 326
 
14.2%
2 309
 
13.4%
F 230
 
10.0%
4 137
 
6.0%
7 127
 
5.5%
C 115
 
5.0%
D 115
 
5.0%
3 36
 
1.6%
9 26
 
1.1%
Other values (3) 43
 
1.9%

인허가일자
Date

Distinct111
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1994-04-04 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T14:34:32.569514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:32.795944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
81 
3
26 
5
 
7
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
70.4%
3 26
 
22.6%
5 7
 
6.1%
4 1
 
0.9%

Length

2024-05-11T14:34:33.008613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:33.211200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
70.4%
3 26
 
22.6%
5 7
 
6.1%
4 1
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
81 
폐업
26 
제외/삭제/전출
 
7
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5826087
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 81
70.4%
폐업 26
 
22.6%
제외/삭제/전출 7
 
6.1%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-05-11T14:34:33.389546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:33.564868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
70.4%
폐업 26
 
22.6%
제외/삭제/전출 7
 
6.1%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
13
81 
3
26 
15
 
7
32
 
1

Length

Max length2
Median length2
Mean length1.773913
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 81
70.4%
3 26
 
22.6%
15 7
 
6.1%
32 1
 
0.9%

Length

2024-05-11T14:34:33.746042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:33.895867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 81
70.4%
3 26
 
22.6%
15 7
 
6.1%
32 1
 
0.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업중
81 
폐업
26 
전출
 
7
신고취소
 
1

Length

Max length4
Median length3
Mean length2.7217391
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
70.4%
폐업 26
 
22.6%
전출 7
 
6.1%
신고취소 1
 
0.9%

Length

2024-05-11T14:34:34.075998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:34.254560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
70.4%
폐업 26
 
22.6%
전출 7
 
6.1%
신고취소 1
 
0.9%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)100.0%
Missing82
Missing (%)71.3%
Memory size1.0 KiB
Minimum2000-11-15 00:00:00
Maximum2024-03-04 00:00:00
2024-05-11T14:34:34.418269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:34.652172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing72
Missing (%)62.6%
Memory size1.0 KiB
2024-05-11T14:34:34.976150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9069767
Min length8

Characters and Unicode

Total characters426
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

Unique43 ?
Unique (%)100.0%

Sample

1st row889-8474
2nd row829-1414
3rd row797-5307
4th row868-8879
5th row573-7435
ValueCountFrequency (%)
889-8474 1
 
2.3%
070-7529-7885 1
 
2.3%
3285-3002 1
 
2.3%
02-3286-9004 1
 
2.3%
02-737-7230 1
 
2.3%
02-522-7627 1
 
2.3%
02-6080-2904 1
 
2.3%
02-3285-3002 1
 
2.3%
070-7535-2263 1
 
2.3%
02-2090-7210 1
 
2.3%
Other values (33) 33
76.7%
2024-05-11T14:34:35.592529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 63
14.8%
0 59
13.8%
8 55
12.9%
7 49
11.5%
2 47
11.0%
3 33
7.7%
5 33
7.7%
9 27
6.3%
4 20
 
4.7%
1 20
 
4.7%
Other values (2) 20
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 362
85.0%
Dash Punctuation 63
 
14.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
16.3%
8 55
15.2%
7 49
13.5%
2 47
13.0%
3 33
9.1%
5 33
9.1%
9 27
7.5%
4 20
 
5.5%
1 20
 
5.5%
6 19
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 426
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 63
14.8%
0 59
13.8%
8 55
12.9%
7 49
11.5%
2 47
11.0%
3 33
7.7%
5 33
7.7%
9 27
6.3%
4 20
 
4.7%
1 20
 
4.7%
Other values (2) 20
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 63
14.8%
0 59
13.8%
8 55
12.9%
7 49
11.5%
2 47
11.0%
3 33
7.7%
5 33
7.7%
9 27
6.3%
4 20
 
4.7%
1 20
 
4.7%
Other values (2) 20
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)64.3%
Missing87
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean151640.93
Minimum151015
Maximum151899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:34:35.820015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151015
5-th percentile151015
Q1151611
median151831
Q3151860
95-th percentile151889.9
Maximum151899
Range884
Interquartile range (IQR)249

Descriptive statistics

Standard deviation365.99422
Coefficient of variation (CV)0.0024135583
Kurtosis-0.56433137
Mean151640.93
Median Absolute Deviation (MAD)31
Skewness-1.2047285
Sum4245946
Variance133951.77
MonotonicityNot monotonic
2024-05-11T14:34:36.051352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
151015 6
 
5.2%
151830 3
 
2.6%
151886 2
 
1.7%
151860 2
 
1.7%
151836 2
 
1.7%
151876 1
 
0.9%
151852 1
 
0.9%
151820 1
 
0.9%
151849 1
 
0.9%
151835 1
 
0.9%
Other values (8) 8
 
7.0%
(Missing) 87
75.7%
ValueCountFrequency (%)
151015 6
5.2%
151050 1
 
0.9%
151798 1
 
0.9%
151804 1
 
0.9%
151818 1
 
0.9%
151820 1
 
0.9%
151830 3
2.6%
151832 1
 
0.9%
151835 1
 
0.9%
151836 2
 
1.7%
ValueCountFrequency (%)
151899 1
0.9%
151892 1
0.9%
151886 2
1.7%
151877 1
0.9%
151876 1
0.9%
151860 2
1.7%
151852 1
0.9%
151849 1
0.9%
151836 2
1.7%
151835 1
0.9%

지번주소
Text

Distinct98
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:34:36.462172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length27.443478
Min length14

Characters and Unicode

Total characters3156
Distinct characters140
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

Unique89 ?
Unique (%)77.4%

Sample

1st row서울특별시 관악구 봉천동 ***-*번지
2nd row서울특별시 관악구 봉천동 ***-**번지
3rd row서울특별시 관악구 봉천동 ***-*번지
4th row서울특별시 관악구 신림동 ***-*번지 *층
5th row서울특별시 관악구 신림동 ***-*번지
ValueCountFrequency (%)
관악구 116
19.7%
서울특별시 115
19.6%
번지 67
11.4%
신림동 54
9.2%
봉천동 52
8.8%
45
 
7.7%
호 40
 
6.8%
층 15
 
2.6%
남현동 9
 
1.5%
동 7
 
1.2%
Other values (58) 68
11.6%
2024-05-11T14:34:37.118635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 731
23.2%
517
16.4%
동 128
 
4.1%
관 125
 
4.0%
악 122
 
3.9%
서 117
 
3.7%
구 117
 
3.7%
울 117
 
3.7%
시 116
 
3.7%
특 115
 
3.6%
Other values (130) 951
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1741
55.2%
Other Punctuation 733
23.2%
Space Separator 517
 
16.4%
Dash Punctuation 110
 
3.5%
Uppercase Letter 16
 
0.5%
Decimal Number 14
 
0.4%
Lowercase Letter 13
 
0.4%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 128
 
7.4%
관 125
 
7.2%
악 122
 
7.0%
서 117
 
6.7%
구 117
 
6.7%
울 117
 
6.7%
시 116
 
6.7%
특 115
 
6.6%
별 115
 
6.6%
지 75
 
4.3%
Other values (102) 594
34.1%
Decimal Number
ValueCountFrequency (%)
5 2
14.3%
4 2
14.3%
8 2
14.3%
2 2
14.3%
6 2
14.3%
0 1
7.1%
1 1
7.1%
7 1
7.1%
3 1
7.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
31.2%
T 3
18.8%
W 2
 
12.5%
L 2
 
12.5%
K 2
 
12.5%
A 1
 
6.2%
D 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
i 2
15.4%
z 2
15.4%
o 2
15.4%
w 2
15.4%
r 2
15.4%
Other Punctuation
ValueCountFrequency (%)
* 731
99.7%
, 2
 
0.3%
Space Separator
ValueCountFrequency (%)
517
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1741
55.2%
Common 1386
43.9%
Latin 29
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 128
 
7.4%
관 125
 
7.2%
악 122
 
7.0%
서 117
 
6.7%
구 117
 
6.7%
울 117
 
6.7%
시 116
 
6.7%
특 115
 
6.6%
별 115
 
6.6%
지 75
 
4.3%
Other values (102) 594
34.1%
Common
ValueCountFrequency (%)
* 731
52.7%
517
37.3%
- 110
 
7.9%
( 6
 
0.4%
) 6
 
0.4%
5 2
 
0.1%
, 2
 
0.1%
4 2
 
0.1%
8 2
 
0.1%
2 2
 
0.1%
Other values (5) 6
 
0.4%
Latin
ValueCountFrequency (%)
B 5
17.2%
T 3
10.3%
e 3
10.3%
W 2
 
6.9%
i 2
 
6.9%
z 2
 
6.9%
L 2
 
6.9%
o 2
 
6.9%
w 2
 
6.9%
r 2
 
6.9%
Other values (3) 4
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1741
55.2%
ASCII 1415
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 731
51.7%
517
36.5%
- 110
 
7.8%
( 6
 
0.4%
) 6
 
0.4%
B 5
 
0.4%
T 3
 
0.2%
e 3
 
0.2%
5 2
 
0.1%
, 2
 
0.1%
Other values (18) 30
 
2.1%
Hangul
ValueCountFrequency (%)
동 128
 
7.4%
관 125
 
7.2%
악 122
 
7.0%
서 117
 
6.7%
구 117
 
6.7%
울 117
 
6.7%
시 116
 
6.7%
특 115
 
6.6%
별 115
 
6.6%
지 75
 
4.3%
Other values (102) 594
34.1%

도로명주소
Text

MISSING 

Distinct106
Distinct (%)95.5%
Missing4
Missing (%)3.5%
Memory size1.0 KiB
2024-05-11T14:34:37.525002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length33.351351
Min length22

Characters and Unicode

Total characters3702
Distinct characters163
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

Unique102 ?
Unique (%)91.9%

Sample

1st row서울특별시 관악구 당곡길 ** (봉천동)
2nd row서울특별시 관악구 보라매로*길 ** (봉천동)
3rd row서울특별시 관악구 은천로 ** (봉천동)
4th row서울특별시 관악구 조원로 ** (신림동,*층)
5th row서울특별시 관악구 난곡로*길 ** (신림동)
ValueCountFrequency (%)
서울특별시 111
15.9%
관악구 111
15.9%
108
15.5%
호 46
 
6.6%
신림동 42
 
6.0%
봉천동 42
 
6.0%
층 27
 
3.9%
남부순환로 17
 
2.4%
남부순환로***길 9
 
1.3%
동 9
 
1.3%
Other values (125) 177
25.3%
2024-05-11T14:34:38.406546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
621
16.8%
* 606
 
16.4%
동 129
 
3.5%
관 127
 
3.4%
악 121
 
3.3%
, 115
 
3.1%
) 115
 
3.1%
( 115
 
3.1%
서 114
 
3.1%
울 113
 
3.1%
Other values (153) 1526
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2066
55.8%
Other Punctuation 721
 
19.5%
Space Separator 621
 
16.8%
Close Punctuation 115
 
3.1%
Open Punctuation 115
 
3.1%
Dash Punctuation 18
 
0.5%
Uppercase Letter 18
 
0.5%
Decimal Number 15
 
0.4%
Lowercase Letter 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 129
 
6.2%
관 127
 
6.1%
악 121
 
5.9%
서 114
 
5.5%
울 113
 
5.5%
시 112
 
5.4%
구 112
 
5.4%
특 111
 
5.4%
별 111
 
5.4%
로 80
 
3.9%
Other values (129) 936
45.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
44.4%
T 3
 
16.7%
K 2
 
11.1%
W 2
 
11.1%
L 2
 
11.1%
D 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
4 2
 
13.3%
0 2
 
13.3%
5 2
 
13.3%
2 1
 
6.7%
3 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
i 2
15.4%
z 2
15.4%
o 2
15.4%
w 2
15.4%
r 2
15.4%
Other Punctuation
ValueCountFrequency (%)
* 606
84.0%
, 115
 
16.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2066
55.8%
Common 1605
43.4%
Latin 31
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 129
 
6.2%
관 127
 
6.1%
악 121
 
5.9%
서 114
 
5.5%
울 113
 
5.5%
시 112
 
5.4%
구 112
 
5.4%
특 111
 
5.4%
별 111
 
5.4%
로 80
 
3.9%
Other values (129) 936
45.3%
Common
ValueCountFrequency (%)
621
38.7%
* 606
37.8%
, 115
 
7.2%
) 115
 
7.2%
( 115
 
7.2%
- 18
 
1.1%
1 7
 
0.4%
4 2
 
0.1%
0 2
 
0.1%
5 2
 
0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
B 8
25.8%
T 3
 
9.7%
e 3
 
9.7%
K 2
 
6.5%
W 2
 
6.5%
i 2
 
6.5%
z 2
 
6.5%
L 2
 
6.5%
o 2
 
6.5%
w 2
 
6.5%
Other values (2) 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2066
55.8%
ASCII 1636
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
621
38.0%
* 606
37.0%
, 115
 
7.0%
) 115
 
7.0%
( 115
 
7.0%
- 18
 
1.1%
B 8
 
0.5%
1 7
 
0.4%
T 3
 
0.2%
e 3
 
0.2%
Other values (14) 25
 
1.5%
Hangul
ValueCountFrequency (%)
동 129
 
6.2%
관 127
 
6.1%
악 121
 
5.9%
서 114
 
5.5%
울 113
 
5.5%
시 112
 
5.4%
구 112
 
5.4%
특 111
 
5.4%
별 111
 
5.4%
로 80
 
3.9%
Other values (129) 936
45.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)77.0%
Missing41
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean14558.257
Minimum8701
Maximum151849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:34:39.106163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8701
5-th percentile8706.6
Q18752.5
median8786
Q38818.75
95-th percentile8858.35
Maximum151849
Range143148
Interquartile range (IQR)66.25

Descriptive statistics

Standard deviation28301.143
Coefficient of variation (CV)1.9439926
Kurtosis21.194796
Mean14558.257
Median Absolute Deviation (MAD)33
Skewness4.7562828
Sum1077311
Variance8.0095468 × 108
MonotonicityNot monotonic
2024-05-11T14:34:39.377872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8804 3
 
2.6%
8786 3
 
2.6%
8807 3
 
2.6%
8819 3
 
2.6%
8752 2
 
1.7%
8757 2
 
1.7%
8789 2
 
1.7%
8708 2
 
1.7%
8820 2
 
1.7%
8846 2
 
1.7%
Other values (47) 50
43.5%
(Missing) 41
35.7%
ValueCountFrequency (%)
8701 1
0.9%
8702 1
0.9%
8703 1
0.9%
8704 1
0.9%
8708 2
1.7%
8710 2
1.7%
8714 1
0.9%
8716 1
0.9%
8729 1
0.9%
8730 1
0.9%
ValueCountFrequency (%)
151849 1
0.9%
151050 1
0.9%
151015 1
0.9%
8859 1
0.9%
8858 1
0.9%
8852 1
0.9%
8850 1
0.9%
8848 1
0.9%
8846 2
1.7%
8843 1
0.9%

사업장명
Text

Distinct114
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:34:39.771203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length17
Mean length8.3478261
Min length2

Characters and Unicode

Total characters960
Distinct characters264
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

Unique113 ?
Unique (%)98.3%

Sample

1st row(주)세영에니텔포스트프로덕션
2nd row(주)대교컴퓨터
3rd row(유)지관
4th row삼원미디어
5th row(주)준필림
ValueCountFrequency (%)
주식회사 15
 
9.9%
엔터테인먼트 2
 
1.3%
프로덕션 2
 
1.3%
미디어 2
 
1.3%
늘푸른미디어 2
 
1.3%
bestkit 1
 
0.7%
힐링tv 1
 
0.7%
인테그랄미디어 1
 
0.7%
핀미디어 1
 
0.7%
생황과사람들 1
 
0.7%
Other values (124) 124
81.6%
2024-05-11T14:34:40.394053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 40
 
4.2%
37
 
3.9%
( 33
 
3.4%
) 33
 
3.4%
디 27
 
2.8%
사 22
 
2.3%
미 19
 
2.0%
회 19
 
2.0%
이 19
 
2.0%
스 17
 
1.8%
Other values (254) 694
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
76.5%
Lowercase Letter 61
 
6.4%
Uppercase Letter 55
 
5.7%
Space Separator 37
 
3.9%
Open Punctuation 33
 
3.4%
Close Punctuation 33
 
3.4%
Decimal Number 6
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 40
 
5.4%
디 27
 
3.7%
사 22
 
3.0%
미 19
 
2.6%
회 19
 
2.6%
이 19
 
2.6%
스 17
 
2.3%
어 16
 
2.2%
식 15
 
2.0%
로 15
 
2.0%
Other values (210) 525
71.5%
Uppercase Letter
ValueCountFrequency (%)
M 6
 
10.9%
O 4
 
7.3%
E 4
 
7.3%
B 4
 
7.3%
D 4
 
7.3%
N 4
 
7.3%
I 4
 
7.3%
H 3
 
5.5%
A 3
 
5.5%
T 3
 
5.5%
Other values (12) 16
29.1%
Lowercase Letter
ValueCountFrequency (%)
t 11
18.0%
n 9
14.8%
i 8
13.1%
e 8
13.1%
r 4
 
6.6%
s 4
 
6.6%
u 3
 
4.9%
a 3
 
4.9%
m 3
 
4.9%
c 2
 
3.3%
Other values (4) 6
9.8%
Decimal Number
ValueCountFrequency (%)
4 3
50.0%
3 1
 
16.7%
9 1
 
16.7%
7 1
 
16.7%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
76.5%
Latin 116
 
12.1%
Common 110
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 40
 
5.4%
디 27
 
3.7%
사 22
 
3.0%
미 19
 
2.6%
회 19
 
2.6%
이 19
 
2.6%
스 17
 
2.3%
어 16
 
2.2%
식 15
 
2.0%
로 15
 
2.0%
Other values (210) 525
71.5%
Latin
ValueCountFrequency (%)
t 11
 
9.5%
n 9
 
7.8%
i 8
 
6.9%
e 8
 
6.9%
M 6
 
5.2%
O 4
 
3.4%
E 4
 
3.4%
B 4
 
3.4%
D 4
 
3.4%
r 4
 
3.4%
Other values (26) 54
46.6%
Common
ValueCountFrequency (%)
37
33.6%
( 33
30.0%
) 33
30.0%
4 3
 
2.7%
. 1
 
0.9%
3 1
 
0.9%
9 1
 
0.9%
7 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
76.5%
ASCII 226
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 40
 
5.4%
디 27
 
3.7%
사 22
 
3.0%
미 19
 
2.6%
회 19
 
2.6%
이 19
 
2.6%
스 17
 
2.3%
어 16
 
2.2%
식 15
 
2.0%
로 15
 
2.0%
Other values (210) 525
71.5%
ASCII
ValueCountFrequency (%)
37
16.4%
( 33
14.6%
) 33
14.6%
t 11
 
4.9%
n 9
 
4.0%
i 8
 
3.5%
e 8
 
3.5%
M 6
 
2.7%
O 4
 
1.8%
E 4
 
1.8%
Other values (34) 73
32.3%

최종수정일자
Date

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2006-02-03 14:58:14
Maximum2024-05-03 09:43:15
2024-05-11T14:34:40.629725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:40.842402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
91 
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 91
79.1%
U 24
 
20.9%

Length

2024-05-11T14:34:41.073232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:41.264521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 91
79.1%
u 24
 
20.9%

데이터갱신일자
Date

Distinct57
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:34:41.451858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:41.677485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)89.4%
Missing2
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean194734.25
Minimum191193.95
Maximum198341.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:34:41.916847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191193.95
5-th percentile192436.1
Q1193497.89
median194541.85
Q3196039.78
95-th percentile197729.84
Maximum198341.7
Range7147.7519
Interquartile range (IQR)2541.8857

Descriptive statistics

Standard deviation1627.4313
Coefficient of variation (CV)0.0083571913
Kurtosis-0.56821915
Mean194734.25
Median Absolute Deviation (MAD)1191.8254
Skewness0.31515986
Sum22004970
Variance2648532.8
MonotonicityNot monotonic
2024-05-11T14:34:42.163646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193350.027022729 3
 
2.6%
195445.432424349 3
 
2.6%
192892.379424772 2
 
1.7%
197626.942168938 2
 
1.7%
198220.60746417 2
 
1.7%
193335.399293698 2
 
1.7%
195626.232277664 2
 
1.7%
194343.213664064 2
 
1.7%
196445.406432574 2
 
1.7%
192666.433864567 2
 
1.7%
Other values (91) 91
79.1%
(Missing) 2
 
1.7%
ValueCountFrequency (%)
191193.948424131 1
0.9%
191871.798298167 1
0.9%
192004.629191264 1
0.9%
192012.500669524 1
0.9%
192208.684578894 1
0.9%
192402.898973735 1
0.9%
192458.239757393 1
0.9%
192638.426649193 1
0.9%
192666.433864567 2
1.7%
192741.292241353 1
0.9%
ValueCountFrequency (%)
198341.700280527 1
0.9%
198220.60746417 2
1.7%
198197.381114459 1
0.9%
197969.388527955 1
0.9%
197884.181727148 1
0.9%
197626.942168938 2
1.7%
197519.173037028 1
0.9%
197291.353481809 1
0.9%
196886.105369914 1
0.9%
196622.05172594 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)89.4%
Missing2
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean441898.35
Minimum439023.17
Maximum443547.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:34:42.408518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile440307.23
Q1441447.31
median442007.53
Q3442467.45
95-th percentile443246.54
Maximum443547.05
Range4523.8826
Interquartile range (IQR)1020.1376

Descriptive statistics

Standard deviation898.26955
Coefficient of variation (CV)0.0020327516
Kurtosis0.095382495
Mean441898.35
Median Absolute Deviation (MAD)524.9136
Skewness-0.57549345
Sum49934513
Variance806888.19
MonotonicityNot monotonic
2024-05-11T14:34:42.630320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443216.750634836 3
 
2.6%
442127.015243919 3
 
2.6%
442339.392489571 2
 
1.7%
441483.156221476 2
 
1.7%
441447.314568895 2
 
1.7%
443291.231245754 2
 
1.7%
442713.141480647 2
 
1.7%
440404.211595974 2
 
1.7%
443322.295671891 2
 
1.7%
440210.602428695 2
 
1.7%
Other values (91) 91
79.1%
(Missing) 2
 
1.7%
ValueCountFrequency (%)
439023.167125842 1
0.9%
439853.488919065 1
0.9%
440079.037787497 1
0.9%
440185.211005635 1
0.9%
440210.602428695 2
1.7%
440371.64369928 1
0.9%
440372.599505029 1
0.9%
440404.211595974 2
1.7%
440462.861826062 1
0.9%
440489.991103999 1
0.9%
ValueCountFrequency (%)
443547.049696825 1
 
0.9%
443381.288614319 1
 
0.9%
443322.295671891 2
1.7%
443291.231245754 2
1.7%
443216.750634836 3
2.6%
443195.528279386 1
 
0.9%
443101.335077624 1
 
0.9%
443019.30390233 1
 
0.9%
442936.718222851 1
 
0.9%
442901.787255047 1
 
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
비디오물제작업
79 
<NA>
36 

Length

Max length7
Median length7
Mean length6.0608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 79
68.7%
<NA> 36
31.3%

Length

2024-05-11T14:34:42.858117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:43.006870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 79
68.7%
na 36
31.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
87 
유통관련업
28 

Length

Max length5
Median length4
Mean length4.2434783
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
75.7%
유통관련업 28
 
24.3%

Length

2024-05-11T14:34:43.159863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:43.307636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
75.7%
유통관련업 28
 
24.3%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
101 
0
 
6
4
 
4
3
 
2
13
 
1

Length

Max length4
Median length4
Mean length3.6434783
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
87.8%
0 6
 
5.2%
4 4
 
3.5%
3 2
 
1.7%
13 1
 
0.9%
5 1
 
0.9%

Length

2024-05-11T14:34:43.489634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:43.668378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
87.8%
0 6
 
5.2%
4 4
 
3.5%
3 2
 
1.7%
13 1
 
0.9%
5 1
 
0.9%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing112
Missing (%)97.4%
Memory size1.0 KiB
2024-05-11T14:34:43.844000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4
Min length2

Characters and Unicode

Total characters12
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 (%)33.3%

Sample

1st row주택가주변
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
주택가주변 2
66.7%
기타 1
33.3%
2024-05-11T14:34:44.224971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
33.3%
택 2
16.7%
가 2
16.7%
변 2
16.7%
기 1
 
8.3%
타 1
 
8.3%

제작취급품목내용
Categorical

Distinct39
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
38 
비디오물
34 
비디오물 제작
 
3
영상물제작
 
3
영상물
 
3
Other values (34)
34 

Length

Max length29
Median length4
Mean length6.973913
Min length1

Unique

Unique34 ?
Unique (%)29.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
33.0%
비디오물 34
29.6%
비디오물 제작 3
 
2.6%
영상물제작 3
 
2.6%
영상물 3
 
2.6%
CD, DVD, 비디오복사 및 영상물 1
 
0.9%
애니메이션 영상물 1
 
0.9%
방송프로그램, 관공서/기업 홍보영상, 온라인콘텐츠 1
 
0.9%
홍보영상물 1
 
0.9%
영화관련DVD,홍보영상물, 광고제작물 1
 
0.9%
Other values (29) 29
25.2%

Length

2024-05-11T14:34:44.448211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
비디오물 39
22.3%
na 38
21.7%
영상물 6
 
3.4%
제작 6
 
3.4%
광고 5
 
2.9%
영상 4
 
2.3%
영상물제작 4
 
2.3%
및 4
 
2.3%
홍보영상 3
 
1.7%
홍보영상물 3
 
1.7%
Other values (55) 63
36.0%

시설면적
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)88.6%
Missing71
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean68.858636
Minimum0
Maximum677.6
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:34:44.698001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.15
Q124
median43
Q373.53
95-th percentile144.091
Maximum677.6
Range677.6
Interquartile range (IQR)49.53

Descriptive statistics

Standard deviation104.24683
Coefficient of variation (CV)1.5139253
Kurtosis28.054663
Mean68.858636
Median Absolute Deviation (MAD)21.64
Skewness4.9056232
Sum3029.78
Variance10867.401
MonotonicityNot monotonic
2024-05-11T14:34:44.932067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
24.0 3
 
2.6%
43.0 2
 
1.7%
49.5 2
 
1.7%
35.67 2
 
1.7%
29.96 1
 
0.9%
30.8 1
 
0.9%
12.0 1
 
0.9%
13.1 1
 
0.9%
61.74 1
 
0.9%
9.0 1
 
0.9%
Other values (29) 29
25.2%
(Missing) 71
61.7%
ValueCountFrequency (%)
0.0 1
0.9%
3.24 1
0.9%
9.0 1
0.9%
10.0 1
0.9%
12.0 1
0.9%
13.1 1
0.9%
18.3 1
0.9%
19.8 1
0.9%
20.0 1
0.9%
22.24 1
0.9%
ValueCountFrequency (%)
677.6 1
0.9%
224.91 1
0.9%
145.36 1
0.9%
136.9 1
0.9%
133.75 1
0.9%
123.29 1
0.9%
101.43 1
0.9%
100.0 1
0.9%
98.01 1
0.9%
83.52 1
0.9%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)43.8%
Missing99
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean2.8125
Minimum0
Maximum15
Zeros7
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:34:45.133976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33.25
95-th percentile11.25
Maximum15
Range15
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation4.1828021
Coefficient of variation (CV)1.4872185
Kurtosis4.4885537
Mean2.8125
Median Absolute Deviation (MAD)1.5
Skewness2.1058911
Sum45
Variance17.495833
MonotonicityNot monotonic
2024-05-11T14:34:45.320891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 7
 
6.1%
3 3
 
2.6%
4 2
 
1.7%
1 1
 
0.9%
10 1
 
0.9%
2 1
 
0.9%
15 1
 
0.9%
(Missing) 99
86.1%
ValueCountFrequency (%)
0 7
6.1%
1 1
 
0.9%
2 1
 
0.9%
3 3
2.6%
4 2
 
1.7%
10 1
 
0.9%
15 1
 
0.9%
ValueCountFrequency (%)
15 1
 
0.9%
10 1
 
0.9%
4 2
 
1.7%
3 3
2.6%
2 1
 
0.9%
1 1
 
0.9%
0 7
6.1%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
100 
1
 
7
0
 
6
3
 
2

Length

Max length4
Median length4
Mean length3.6086957
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> 100
87.0%
1 7
 
6.1%
0 6
 
5.2%
3 2
 
1.7%

Length

2024-05-11T14:34:45.610824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:45.836012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
87.0%
1 7
 
6.1%
0 6
 
5.2%
3 2
 
1.7%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing109
Missing (%)94.8%
Memory size1.0 KiB
2024-05-11T14:34:46.014719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.1666667
Min length3

Characters and Unicode

Total characters31
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row단독주택
2nd row근린생활시설
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 4
66.7%
단독주택 1
 
16.7%
아파트 1
 
16.7%
2024-05-11T14:34:46.410378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 4
12.9%
린 4
12.9%
생 4
12.9%
활 4
12.9%
시 4
12.9%
설 4
12.9%
단 1
 
3.2%
독 1
 
3.2%
주 1
 
3.2%
택 1
 
3.2%
Other values (3) 3
9.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 4
12.9%
린 4
12.9%
생 4
12.9%
활 4
12.9%
시 4
12.9%
설 4
12.9%
단 1
 
3.2%
독 1
 
3.2%
주 1
 
3.2%
택 1
 
3.2%
Other values (3) 3
9.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 4
12.9%
린 4
12.9%
생 4
12.9%
활 4
12.9%
시 4
12.9%
설 4
12.9%
단 1
 
3.2%
독 1
 
3.2%
주 1
 
3.2%
택 1
 
3.2%
Other values (3) 3
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 4
12.9%
린 4
12.9%
생 4
12.9%
활 4
12.9%
시 4
12.9%
설 4
12.9%
단 1
 
3.2%
독 1
 
3.2%
주 1
 
3.2%
택 1
 
3.2%
Other values (3) 3
9.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
108 
0
 
7

Length

Max length4
Median length4
Mean length3.8173913
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> 108
93.9%
0 7
 
6.1%

Length

2024-05-11T14:34:46.618300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:46.790100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
93.9%
0 7
 
6.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
108 
0
 
7

Length

Max length4
Median length4
Mean length3.8173913
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> 108
93.9%
0 7
 
6.1%

Length

2024-05-11T14:34:47.047407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:47.221873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
93.9%
0 7
 
6.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
108 
0
 
7

Length

Max length4
Median length4
Mean length3.8173913
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> 108
93.9%
0 7
 
6.1%

Length

2024-05-11T14:34:47.399839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:47.569870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
93.9%
0 7
 
6.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
108 
0
 
7

Length

Max length4
Median length4
Mean length3.8173913
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> 108
93.9%
0 7
 
6.1%

Length

2024-05-11T14:34:47.745186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:47.949487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
93.9%
0 7
 
6.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
108 
0
 
7

Length

Max length4
Median length4
Mean length3.8173913
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> 108
93.9%
0 7
 
6.1%

Length

2024-05-11T14:34:48.155408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:48.309489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
93.9%
0 7
 
6.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
107 
일반주거지역
 
7
주거지역
 
1

Length

Max length6
Median length4
Mean length4.1217391
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
93.0%
일반주거지역 7
 
6.1%
주거지역 1
 
0.9%

Length

2024-05-11T14:34:48.522551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:48.720222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
93.0%
일반주거지역 7
 
6.1%
주거지역 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF124107199400000119940404<NA>1영업/정상13영업중<NA><NA><NA><NA>889-8474<NA><NA>서울특별시 관악구 봉천동 ***-*번지서울특별시 관악구 당곡길 ** (봉천동)8710(주)세영에니텔포스트프로덕션2011-10-30 13:37:31I2018-08-31 23:59:59.0<NA>193642.876908443195.528279비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13200000CDFF124107199400000219940503<NA>1영업/정상13영업중<NA><NA><NA><NA>829-1414<NA>151830서울특별시 관악구 봉천동 ***-**번지서울특별시 관악구 보라매로*길 ** (봉천동)<NA>(주)대교컴퓨터2007-03-02 16:38:46I2018-08-31 23:59:59.0<NA>193350.027023443216.750635비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23200000CDFF124107199400000319940503<NA>1영업/정상13영업중<NA><NA><NA><NA>797-5307<NA>151050서울특별시 관악구 봉천동 ***-*번지서울특별시 관악구 은천로 ** (봉천동)<NA>(유)지관2007-03-02 16:40:51I2018-08-31 23:59:59.0<NA>194337.714627442659.268578비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33200000CDFF124107199500000119950427<NA>1영업/정상13영업중<NA><NA><NA><NA>868-8879<NA>151877서울특별시 관악구 신림동 ***-*번지 *층서울특별시 관악구 조원로 ** (신림동,*층)<NA>삼원미디어2007-03-02 17:25:07I2018-08-31 23:59:59.0<NA>191871.798298442373.748305비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43200000CDFF124107199800000119980619<NA>1영업/정상13영업중<NA><NA><NA><NA>573-7435<NA>151886서울특별시 관악구 신림동 ***-*번지서울특별시 관악구 난곡로*길 ** (신림동)<NA>(주)준필림2007-03-02 17:27:02I2018-08-31 23:59:59.0<NA>192666.433865440210.602429비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53200000CDFF124107199900000119991117<NA>1영업/정상13영업중<NA><NA><NA><NA>838-7182<NA>151876서울특별시 관악구 신림동 ***-**번지서울특별시 관악구 조원로**길 **-* (신림동)<NA>에코동화2007-03-02 17:29:02I2018-08-31 23:59:59.0<NA>192208.684579442337.787708비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFF124107200000000120000420<NA>1영업/정상13영업중<NA><NA><NA><NA>888-7055<NA>151852서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 남부순환로 **** (신림동)<NA>소호영상2007-03-02 17:30:14I2018-08-31 23:59:59.0<NA>194122.58784442487.656391비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73200000CDFF124107200000000220000807<NA>3폐업3폐업20001115<NA><NA><NA>874-6323<NA><NA>서울특별시 관악구 봉천동 ****-*번지서울특별시 관악구 낙성대역길 * (봉천동)<NA>(주)무비쿠스2019-01-24 13:01:51U2019-01-26 02:40:00.0<NA>196564.151187441662.905907비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83200000CDFF124107200000000320001115<NA>1영업/정상13영업중<NA><NA><NA><NA>3270-3347<NA>151820서울특별시 관악구 봉천동 ***-*번지서울특별시 관악구 남부순환로 **** (봉천동)<NA>불교텔레비젼(주)2007-03-02 17:36:15I2018-08-31 23:59:59.0<NA>194566.302659442315.431104비디오물제작업유통관련업<NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93200000CDFF124107200100000120010104<NA>4취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>795-0899<NA><NA>서울특별시 관악구 봉천동 ****-*번지 보라매삼성(아) ***동 ****호서울특별시 관악구 보라매로 **, ***동 ****호 (봉천동,보라매삼성(아))<NA>팀미디어2014-08-14 15:30:31I2018-08-31 23:59:59.0<NA>193578.742465443547.049697비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1053200000CDFF12410720230000072017-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****-*서울특별시 관악구 남부순환로***길 **, *층 *호 (봉천동)8788(주)월드와이드더블유2023-04-03 10:01:25I2022-12-04 00:05:00.0<NA>195822.799842441959.247878<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>
1063200000CDFF12410720230000082023-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 양녕로 **, ***호 (봉천동)8752주식회사 떠든프로덕션2023-04-19 16:36:31I2022-12-03 22:01:00.0<NA>195198.041207442450.412117<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>
1073200000CDFF12410720230000092023-05-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-990-2636<NA><NA>서울특별시 관악구 남현동 ***-** 위즈엘타워(Wiz-L Tower)서울특별시 관악구 승방*길 **, 위즈엘타워(Wiz-L Tower) **층 (남현동)8807(주)엔미디어그룹2023-05-31 14:28:31I2022-12-06 00:02:00.0<NA>198220.607464441447.314569<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>
1083200000CDFF12410720230000102023-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **** 관악우성아파트서울특별시 관악구 관악로**길 **, ***동 ***호 (봉천동, 관악우성아파트)8735주식회사 플로리다프로젝트2023-08-29 10:26:55I2022-12-07 21:01:00.0<NA>196350.708294442532.440501<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>
1093200000CDFF12410720230000112023-09-08<NA>5제외/삭제/전출15전출2023-12-22<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-*** 반도라빌서울특별시 관악구 국회단지**길 *, 반도라빌 B**호 (봉천동, 반도라빌)8714더뷰파인더즈2023-12-22 17:17:01U2022-11-01 22:04:00.0<NA>194826.769219443019.303902<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>
1103200000CDFF12410720230000122023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **** e편한세상서울대입구 *차서울특별시 관악구 참숯*길 **, ***동 ****호 (봉천동, e편한세상서울대입구 *차)8830스튜디오 레이2023-12-05 10:42:19I2022-11-02 00:07:00.0<NA>194786.837474441748.028964<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>
1113200000CDFF12410720240000012024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 **-***서울특별시 관악구 남부순환로 ****, 지하층 (신림동)8780파란대나무숲2024-01-23 11:29:06I2023-11-30 22:05:00.0<NA>194342.263827442448.563338<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>
1123200000CDFF12410720240000022024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-**서울특별시 관악구 관천로**길 **-*, *층 (신림동)8704위드(WITH)2024-01-25 15:38:15I2023-11-30 22:07:00.0<NA>192777.08839442765.998396<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>
1133200000CDFF12410720240000032024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-* 실로암시각장애인복지관서울특별시 관악구 남부순환로 **** (봉천동)8757사회복지법인 대한예수교장로회실로암시각장애인복지회2024-02-21 13:46:46I2023-12-01 22:03:00.0<NA>194725.323011442316.164532<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>
1143200000CDFF12410720240000042024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****-** 세진아파트서울특별시 관악구 인헌*길 **, ***호 (봉천동, 세진아파트)8794서서울비디오2024-05-03 09:43:15I2023-12-05 00:05:00.0<NA>197291.353482441402.856313<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>