Overview

Dataset statistics

Number of variables56
Number of observations157
Missing cells4450
Missing cells (%)50.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.6 KiB
Average record size in memory486.8 B

Variable types

Categorical16
Text8
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17371/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 is highly imbalanced (76.6%)Imbalance
지상층수 is highly imbalanced (78.2%)Imbalance
지하층수 is highly imbalanced (70.7%)Imbalance
건물용도명 is highly imbalanced (79.6%)Imbalance
통로너비 is highly imbalanced (73.7%)Imbalance
조명시설조도 is highly imbalanced (73.7%)Imbalance
노래방실수 is highly imbalanced (73.7%)Imbalance
청소년실수 is highly imbalanced (73.7%)Imbalance
총게임기수 is highly imbalanced (73.7%)Imbalance
인허가취소일자 has 157 (100.0%) missing valuesMissing
폐업일자 has 116 (73.9%) missing valuesMissing
휴업시작일자 has 157 (100.0%) missing valuesMissing
휴업종료일자 has 157 (100.0%) missing valuesMissing
재개업일자 has 157 (100.0%) missing valuesMissing
전화번호 has 134 (85.4%) missing valuesMissing
소재지면적 has 157 (100.0%) missing valuesMissing
소재지우편번호 has 151 (96.2%) missing valuesMissing
도로명주소 has 2 (1.3%) missing valuesMissing
도로명우편번호 has 15 (9.6%) missing valuesMissing
업태구분명 has 157 (100.0%) missing valuesMissing
총층수 has 143 (91.1%) missing valuesMissing
주변환경명 has 154 (98.1%) missing valuesMissing
제작취급품목내용 has 58 (36.9%) missing valuesMissing
시설면적 has 71 (45.2%) missing valuesMissing
비상계단여부 has 157 (100.0%) missing valuesMissing
비상구여부 has 157 (100.0%) missing valuesMissing
자동환기여부 has 157 (100.0%) missing valuesMissing
청소년실여부 has 157 (100.0%) missing valuesMissing
특수조명여부 has 157 (100.0%) missing valuesMissing
방음시설여부 has 157 (100.0%) missing valuesMissing
비디오재생기명 has 157 (100.0%) missing valuesMissing
조명시설유무 has 157 (100.0%) missing valuesMissing
음향시설여부 has 157 (100.0%) missing valuesMissing
편의시설여부 has 157 (100.0%) missing valuesMissing
소방시설여부 has 157 (100.0%) missing valuesMissing
기존게임업외업종명 has 157 (100.0%) missing valuesMissing
제공게임물명 has 157 (100.0%) missing valuesMissing
공연장형태구분명 has 157 (100.0%) missing valuesMissing
품목명 has 157 (100.0%) missing valuesMissing
최초등록시점 has 157 (100.0%) missing valuesMissing
지역구분명 has 152 (96.8%) 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 7 (4.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:51:14.860706
Analysis finished2024-05-11 06:51:15.929283
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3040000
157 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 157
100.0%

Length

2024-05-11T15:51:16.020269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:16.218461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 157
100.0%

관리번호
Text

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T15:51:16.489274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3140
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

Unique157 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071999000001
2nd rowCDFF1241072002000001
3rd rowCDFF1241072003000001
4th rowCDFF1241072004000001
5th rowCDFF1241072004000002
ValueCountFrequency (%)
cdff1241071999000001 1
 
0.6%
cdff1241072021000003 1
 
0.6%
cdff1241072021000006 1
 
0.6%
cdff1241072021000007 1
 
0.6%
cdff1241072021000008 1
 
0.6%
cdff1241072021000009 1
 
0.6%
cdff1241072021000010 1
 
0.6%
cdff1241072021000011 1
 
0.6%
cdff1241072021000012 1
 
0.6%
cdff1241072021000004 1
 
0.6%
Other values (147) 147
93.6%
2024-05-11T15:51:17.053866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1099
35.0%
1 465
14.8%
2 436
 
13.9%
F 314
 
10.0%
4 194
 
6.2%
7 182
 
5.8%
C 157
 
5.0%
D 157
 
5.0%
3 42
 
1.3%
5 25
 
0.8%
Other values (3) 69
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2512
80.0%
Uppercase Letter 628
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1099
43.8%
1 465
18.5%
2 436
 
17.4%
4 194
 
7.7%
7 182
 
7.2%
3 42
 
1.7%
5 25
 
1.0%
6 25
 
1.0%
8 23
 
0.9%
9 21
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 314
50.0%
C 157
25.0%
D 157
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2512
80.0%
Latin 628
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1099
43.8%
1 465
18.5%
2 436
 
17.4%
4 194
 
7.7%
7 182
 
7.2%
3 42
 
1.7%
5 25
 
1.0%
6 25
 
1.0%
8 23
 
0.9%
9 21
 
0.8%
Latin
ValueCountFrequency (%)
F 314
50.0%
C 157
25.0%
D 157
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1099
35.0%
1 465
14.8%
2 436
 
13.9%
F 314
 
10.0%
4 194
 
6.2%
7 182
 
5.8%
C 157
 
5.0%
D 157
 
5.0%
3 42
 
1.3%
5 25
 
0.8%
Other values (3) 69
 
2.2%

인허가일자
Date

Distinct155
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1996-05-02 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T15:51:17.298302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:17.556299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
116 
3
27 
5
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 116
73.9%
3 27
 
17.2%
5 14
 
8.9%

Length

2024-05-11T15:51:17.801954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:18.018021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 116
73.9%
3 27
 
17.2%
5 14
 
8.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
116 
폐업
27 
제외/삭제/전출
14 

Length

Max length8
Median length5
Mean length4.7515924
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 116
73.9%
폐업 27
 
17.2%
제외/삭제/전출 14
 
8.9%

Length

2024-05-11T15:51:18.263797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:18.491136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 116
73.9%
폐업 27
 
17.2%
제외/삭제/전출 14
 
8.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
116 
3
27 
15
14 

Length

Max length2
Median length2
Mean length1.8280255
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 116
73.9%
3 27
 
17.2%
15 14
 
8.9%

Length

2024-05-11T15:51:18.687221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:18.881516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 116
73.9%
3 27
 
17.2%
15 14
 
8.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
116 
폐업
27 
전출
14 

Length

Max length3
Median length3
Mean length2.7388535
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 116
73.9%
폐업 27
 
17.2%
전출 14
 
8.9%

Length

2024-05-11T15:51:19.102949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:19.263621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 116
73.9%
폐업 27
 
17.2%
전출 14
 
8.9%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)97.6%
Missing116
Missing (%)73.9%
Memory size1.4 KiB
Minimum2008-06-26 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T15:51:19.428123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:19.621796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing134
Missing (%)85.4%
Memory size1.4 KiB
2024-05-11T15:51:19.903740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.173913
Min length8

Characters and Unicode

Total characters234
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row452-6724
2nd row458-1097
3rd row388-1806
4th row02-466-3093
5th row02-564-7771
ValueCountFrequency (%)
452-6724 1
 
4.3%
02-2140-9421 1
 
4.3%
07041963411 1
 
4.3%
0260800206 1
 
4.3%
02-1522-2090 1
 
4.3%
02-6326-1229 1
 
4.3%
0262140071 1
 
4.3%
0260815549 1
 
4.3%
0218339409 1
 
4.3%
024998440 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T15:51:20.427132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
20.5%
2 35
15.0%
- 25
10.7%
4 21
9.0%
1 21
9.0%
6 17
 
7.3%
9 15
 
6.4%
5 14
 
6.0%
3 14
 
6.0%
8 13
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209
89.3%
Dash Punctuation 25
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
23.0%
2 35
16.7%
4 21
10.0%
1 21
10.0%
6 17
 
8.1%
9 15
 
7.2%
5 14
 
6.7%
3 14
 
6.7%
8 13
 
6.2%
7 11
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
20.5%
2 35
15.0%
- 25
10.7%
4 21
9.0%
1 21
9.0%
6 17
 
7.3%
9 15
 
6.4%
5 14
 
6.0%
3 14
 
6.0%
8 13
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
20.5%
2 35
15.0%
- 25
10.7%
4 21
9.0%
1 21
9.0%
6 17
 
7.3%
9 15
 
6.4%
5 14
 
6.0%
3 14
 
6.0%
8 13
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing151
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean143839.67
Minimum143747
Maximum143915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:51:20.645802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143747
5-th percentile143766.5
Q1143826.5
median143839
Q3143866.5
95-th percentile143904.5
Maximum143915
Range168
Interquartile range (IQR)40

Descriptive statistics

Standard deviation56.066627
Coefficient of variation (CV)0.00038978557
Kurtosis1.3465398
Mean143839.67
Median Absolute Deviation (MAD)24
Skewness-0.56953301
Sum863038
Variance3143.4667
MonotonicityNot monotonic
2024-05-11T15:51:20.853066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
143825 1
 
0.6%
143847 1
 
0.6%
143747 1
 
0.6%
143915 1
 
0.6%
143831 1
 
0.6%
143873 1
 
0.6%
(Missing) 151
96.2%
ValueCountFrequency (%)
143747 1
0.6%
143825 1
0.6%
143831 1
0.6%
143847 1
0.6%
143873 1
0.6%
143915 1
0.6%
ValueCountFrequency (%)
143915 1
0.6%
143873 1
0.6%
143847 1
0.6%
143831 1
0.6%
143825 1
0.6%
143747 1
0.6%

지번주소
Text

Distinct124
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T15:51:21.346987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length25
Min length14

Characters and Unicode

Total characters3925
Distinct characters178
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

Unique105 ?
Unique (%)66.9%

Sample

1st row서울특별시 광진구 중곡동 ***-*
2nd row서울특별시 광진구 중곡동 **-**번지
3rd row서울특별시 광진구 구의동 ***-**번지 크레신타워*차 비* 오피스허브 ***호
4th row서울특별시 광진구 구의동 ***-*번지 테크노마트 **층 *~**호
5th row서울특별시 광진구 화양동 ***-**번지 화양타워 ***호
ValueCountFrequency (%)
서울특별시 159
21.2%
광진구 157
20.9%
83
11.1%
번지 73
9.7%
중곡동 39
 
5.2%
구의동 38
 
5.1%
자양동 34
 
4.5%
호 20
 
2.7%
화양동 18
 
2.4%
군자동 12
 
1.6%
Other values (88) 118
15.7%
2024-05-11T15:51:22.027209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 753
19.2%
682
17.4%
구 199
 
5.1%
광 172
 
4.4%
동 167
 
4.3%
시 162
 
4.1%
진 161
 
4.1%
울 160
 
4.1%
서 160
 
4.1%
별 159
 
4.1%
Other values (168) 1150
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2324
59.2%
Other Punctuation 755
 
19.2%
Space Separator 682
 
17.4%
Dash Punctuation 139
 
3.5%
Uppercase Letter 9
 
0.2%
Lowercase Letter 8
 
0.2%
Decimal Number 5
 
0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 199
 
8.6%
광 172
 
7.4%
동 167
 
7.2%
시 162
 
7.0%
진 161
 
6.9%
울 160
 
6.9%
서 160
 
6.9%
별 159
 
6.8%
특 159
 
6.8%
지 79
 
3.4%
Other values (141) 746
32.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
W 1
 
11.1%
R 1
 
11.1%
D 1
 
11.1%
S 1
 
11.1%
K 1
 
11.1%
C 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
25.0%
o 1
12.5%
r 1
12.5%
e 1
12.5%
w 1
12.5%
t 1
12.5%
k 1
12.5%
Decimal Number
ValueCountFrequency (%)
8 1
20.0%
6 1
20.0%
0 1
20.0%
4 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 753
99.7%
/ 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2324
59.2%
Common 1584
40.4%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 199
 
8.6%
광 172
 
7.4%
동 167
 
7.2%
시 162
 
7.0%
진 161
 
6.9%
울 160
 
6.9%
서 160
 
6.9%
별 159
 
6.8%
특 159
 
6.8%
지 79
 
3.4%
Other values (141) 746
32.1%
Latin
ValueCountFrequency (%)
B 3
17.6%
c 2
11.8%
o 1
 
5.9%
r 1
 
5.9%
e 1
 
5.9%
w 1
 
5.9%
W 1
 
5.9%
t 1
 
5.9%
R 1
 
5.9%
D 1
 
5.9%
Other values (4) 4
23.5%
Common
ValueCountFrequency (%)
* 753
47.5%
682
43.1%
- 139
 
8.8%
8 1
 
0.1%
6 1
 
0.1%
0 1
 
0.1%
/ 1
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
& 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2324
59.2%
ASCII 1601
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 753
47.0%
682
42.6%
- 139
 
8.7%
B 3
 
0.2%
c 2
 
0.1%
o 1
 
0.1%
r 1
 
0.1%
e 1
 
0.1%
w 1
 
0.1%
W 1
 
0.1%
Other values (17) 17
 
1.1%
Hangul
ValueCountFrequency (%)
구 199
 
8.6%
광 172
 
7.4%
동 167
 
7.2%
시 162
 
7.0%
진 161
 
6.9%
울 160
 
6.9%
서 160
 
6.9%
별 159
 
6.8%
특 159
 
6.8%
지 79
 
3.4%
Other values (141) 746
32.1%

도로명주소
Text

MISSING 

Distinct148
Distinct (%)95.5%
Missing2
Missing (%)1.3%
Memory size1.4 KiB
2024-05-11T15:51:22.453165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length34.193548
Min length22

Characters and Unicode

Total characters5300
Distinct characters193
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

Unique142 ?
Unique (%)91.6%

Sample

1st row서울특별시 광진구 동일로 *** (중곡동)
2nd row서울특별시 광진구 능동로 ***, *층 (중곡동)
3rd row서울특별시 광진구 아차산로 ***, ***호 (구의동,크레신타워*차 비* 오피스허브)
4th row서울특별시 광진구 광나루로**길 ** (구의동)
5th row서울특별시 광진구 능동로**길 ** (화양동,화양타워 ***호)
ValueCountFrequency (%)
서울특별시 157
15.2%
154
14.9%
광진구 154
14.9%
호 80
 
7.8%
층 58
 
5.6%
중곡동 39
 
3.8%
구의동 32
 
3.1%
자양동 30
 
2.9%
화양동 16
 
1.6%
아차산로**길 14
 
1.4%
Other values (142) 298
28.9%
2024-05-11T15:51:23.192287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 893
16.8%
890
16.8%
동 208
 
3.9%
구 200
 
3.8%
광 193
 
3.6%
, 170
 
3.2%
시 160
 
3.0%
진 160
 
3.0%
서 158
 
3.0%
울 158
 
3.0%
Other values (183) 2110
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2989
56.4%
Other Punctuation 1064
 
20.1%
Space Separator 890
 
16.8%
Open Punctuation 155
 
2.9%
Close Punctuation 155
 
2.9%
Dash Punctuation 28
 
0.5%
Uppercase Letter 10
 
0.2%
Lowercase Letter 5
 
0.1%
Decimal Number 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 208
 
7.0%
구 200
 
6.7%
광 193
 
6.5%
시 160
 
5.4%
진 160
 
5.4%
서 158
 
5.3%
울 158
 
5.3%
별 157
 
5.3%
특 157
 
5.3%
로 155
 
5.2%
Other values (162) 1283
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
60.0%
W 1
 
10.0%
R 1
 
10.0%
D 1
 
10.0%
C 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
20.0%
o 1
20.0%
t 1
20.0%
e 1
20.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 893
83.9%
, 170
 
16.0%
/ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
8 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
890
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2989
56.4%
Common 2296
43.3%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 208
 
7.0%
구 200
 
6.7%
광 193
 
6.5%
시 160
 
5.4%
진 160
 
5.4%
서 158
 
5.3%
울 158
 
5.3%
별 157
 
5.3%
특 157
 
5.3%
로 155
 
5.2%
Other values (162) 1283
42.9%
Common
ValueCountFrequency (%)
* 893
38.9%
890
38.8%
, 170
 
7.4%
( 155
 
6.8%
) 155
 
6.8%
- 28
 
1.2%
3 1
 
< 0.1%
/ 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 6
40.0%
w 1
 
6.7%
o 1
 
6.7%
t 1
 
6.7%
W 1
 
6.7%
R 1
 
6.7%
e 1
 
6.7%
r 1
 
6.7%
D 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2989
56.4%
ASCII 2311
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 893
38.6%
890
38.5%
, 170
 
7.4%
( 155
 
6.7%
) 155
 
6.7%
- 28
 
1.2%
B 6
 
0.3%
w 1
 
< 0.1%
o 1
 
< 0.1%
t 1
 
< 0.1%
Other values (11) 11
 
0.5%
Hangul
ValueCountFrequency (%)
동 208
 
7.0%
구 200
 
6.7%
광 193
 
6.5%
시 160
 
5.4%
진 160
 
5.4%
서 158
 
5.3%
울 158
 
5.3%
별 157
 
5.3%
특 157
 
5.3%
로 155
 
5.2%
Other values (162) 1283
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)60.6%
Missing15
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean9954.1268
Minimum4902
Maximum143926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:51:23.453477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4912
Q14946
median5009.5
Q35051.75
95-th percentile5116
Maximum143926
Range139024
Interquartile range (IQR)105.75

Descriptive statistics

Standard deviation25686.818
Coefficient of variation (CV)2.5805194
Kurtosis24.28361
Mean9954.1268
Median Absolute Deviation (MAD)51
Skewness5.0912564
Sum1413486
Variance6.598126 × 108
MonotonicityNot monotonic
2024-05-11T15:51:23.742650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5116 10
 
6.4%
4969 6
 
3.8%
5072 4
 
2.5%
5026 4
 
2.5%
5009 4
 
2.5%
4917 4
 
2.5%
4930 3
 
1.9%
5043 3
 
1.9%
4941 3
 
1.9%
5022 3
 
1.9%
Other values (76) 98
62.4%
(Missing) 15
 
9.6%
ValueCountFrequency (%)
4902 2
1.3%
4907 1
 
0.6%
4908 2
1.3%
4909 1
 
0.6%
4910 1
 
0.6%
4912 2
1.3%
4915 1
 
0.6%
4916 1
 
0.6%
4917 4
2.5%
4918 3
1.9%
ValueCountFrequency (%)
143926 1
 
0.6%
143915 1
 
0.6%
143884 1
 
0.6%
143859 1
 
0.6%
143840 1
 
0.6%
13558 1
 
0.6%
5116 10
6.4%
5113 1
 
0.6%
5106 1
 
0.6%
5102 1
 
0.6%

사업장명
Text

Distinct156
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T15:51:24.105142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.1273885
Min length2

Characters and Unicode

Total characters1276
Distinct characters282
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

Unique155 ?
Unique (%)98.7%

Sample

1st row(주)전시과학
2nd row(주)성화영상
3rd row(주)마야 커뮤니케이션
4th row(주)토탈커뮤니케이션그룹영컴
5th row나비스
ValueCountFrequency (%)
주식회사 23
 
11.1%
스튜디오 4
 
1.9%
주 3
 
1.4%
유한책임회사 2
 
1.0%
프로덕션 2
 
1.0%
미디어팜 2
 
1.0%
엠버스(mbus 1
 
0.5%
에스미디어커넥트 1
 
0.5%
바이널샵 1
 
0.5%
리버이앤엠 1
 
0.5%
Other values (168) 168
80.8%
2024-05-11T15:51:24.679793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
6.6%
) 65
 
5.1%
( 65
 
5.1%
51
 
4.0%
스 50
 
3.9%
이 42
 
3.3%
디 39
 
3.1%
사 32
 
2.5%
회 28
 
2.2%
어 25
 
2.0%
Other values (272) 795
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1019
79.9%
Close Punctuation 65
 
5.1%
Open Punctuation 65
 
5.1%
Space Separator 51
 
4.0%
Uppercase Letter 40
 
3.1%
Lowercase Letter 24
 
1.9%
Decimal Number 6
 
0.5%
Dash Punctuation 4
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
8.2%
스 50
 
4.9%
이 42
 
4.1%
디 39
 
3.8%
사 32
 
3.1%
회 28
 
2.7%
어 25
 
2.5%
식 24
 
2.4%
미 22
 
2.2%
리 18
 
1.8%
Other values (231) 655
64.3%
Uppercase Letter
ValueCountFrequency (%)
N 4
10.0%
D 4
10.0%
L 4
10.0%
M 3
 
7.5%
A 3
 
7.5%
O 3
 
7.5%
E 3
 
7.5%
P 3
 
7.5%
B 2
 
5.0%
C 2
 
5.0%
Other values (7) 9
22.5%
Lowercase Letter
ValueCountFrequency (%)
a 5
20.8%
l 3
12.5%
o 3
12.5%
f 2
 
8.3%
i 2
 
8.3%
m 2
 
8.3%
w 1
 
4.2%
s 1
 
4.2%
u 1
 
4.2%
k 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
8 1
16.7%
4 1
16.7%
2 1
16.7%
7 1
16.7%
Other Punctuation
ValueCountFrequency (%)
? 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1019
79.9%
Common 193
 
15.1%
Latin 64
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
8.2%
스 50
 
4.9%
이 42
 
4.1%
디 39
 
3.8%
사 32
 
3.1%
회 28
 
2.7%
어 25
 
2.5%
식 24
 
2.4%
미 22
 
2.2%
리 18
 
1.8%
Other values (231) 655
64.3%
Latin
ValueCountFrequency (%)
a 5
 
7.8%
N 4
 
6.2%
D 4
 
6.2%
L 4
 
6.2%
M 3
 
4.7%
A 3
 
4.7%
O 3
 
4.7%
E 3
 
4.7%
l 3
 
4.7%
o 3
 
4.7%
Other values (20) 29
45.3%
Common
ValueCountFrequency (%)
) 65
33.7%
( 65
33.7%
51
26.4%
- 4
 
2.1%
1 2
 
1.0%
8 1
 
0.5%
4 1
 
0.5%
2 1
 
0.5%
? 1
 
0.5%
7 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1019
79.9%
ASCII 257
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
8.2%
스 50
 
4.9%
이 42
 
4.1%
디 39
 
3.8%
사 32
 
3.1%
회 28
 
2.7%
어 25
 
2.5%
식 24
 
2.4%
미 22
 
2.2%
리 18
 
1.8%
Other values (231) 655
64.3%
ASCII
ValueCountFrequency (%)
) 65
25.3%
( 65
25.3%
51
19.8%
a 5
 
1.9%
N 4
 
1.6%
D 4
 
1.6%
- 4
 
1.6%
L 4
 
1.6%
M 3
 
1.2%
A 3
 
1.2%
Other values (31) 49
19.1%

최종수정일자
Date

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2006-05-30 09:23:48
Maximum2024-04-08 17:25:31
2024-05-11T15:51:24.891972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:25.127462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
116 
U
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 116
73.9%
U 41
 
26.1%

Length

2024-05-11T15:51:25.324444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:25.507619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 116
73.9%
u 41
 
26.1%

데이터갱신일자
Date

Distinct91
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T15:51:25.661292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:25.911670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct132
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207252.73
Minimum205287.06
Maximum209734.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:51:26.465857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205287.06
5-th percentile205828.25
Q1206636.23
median207217.85
Q3207736.07
95-th percentile208806.04
Maximum209734.22
Range4447.1588
Interquartile range (IQR)1099.8407

Descriptive statistics

Standard deviation886.60441
Coefficient of variation (CV)0.0042778902
Kurtosis0.70223339
Mean207252.73
Median Absolute Deviation (MAD)552.35111
Skewness0.59446999
Sum32538678
Variance786067.38
MonotonicityNot monotonic
2024-05-11T15:51:26.703147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 8
 
5.1%
205828.253476728 4
 
2.5%
209637.078215509 3
 
1.9%
206219.841921018 3
 
1.9%
207159.044971923 3
 
1.9%
205945.98820137 2
 
1.3%
205655.134613824 2
 
1.3%
207342.766106556 2
 
1.3%
206355.945042916 2
 
1.3%
207541.552993132 2
 
1.3%
Other values (122) 126
80.3%
ValueCountFrequency (%)
205287.059755932 1
 
0.6%
205655.134613824 2
1.3%
205687.675941036 1
 
0.6%
205804.747421072 1
 
0.6%
205828.253476728 4
2.5%
205942.175694279 1
 
0.6%
205945.98820137 2
1.3%
205956.960009582 1
 
0.6%
206041.107016942 1
 
0.6%
206091.938587177 1
 
0.6%
ValueCountFrequency (%)
209734.218553133 1
 
0.6%
209679.58447051 1
 
0.6%
209637.078215509 3
 
1.9%
209634.781974927 1
 
0.6%
209414.542492441 1
 
0.6%
209074.367669484 1
 
0.6%
208738.952014366 1
 
0.6%
208644.819209521 1
 
0.6%
208394.416382167 8
5.1%
208330.792872433 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct132
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449276.87
Minimum429463.51
Maximum452131.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:51:26.950363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum429463.51
5-th percentile447719.45
Q1448384.05
median449205.3
Q3450466.16
95-th percentile451348.24
Maximum452131.06
Range22667.55
Interquartile range (IQR)2082.1145

Descriptive statistics

Standard deviation1984.0529
Coefficient of variation (CV)0.0044161029
Kurtosis63.466451
Mean449276.87
Median Absolute Deviation (MAD)1040.0178
Skewness-6.3416887
Sum70536469
Variance3936466
MonotonicityNot monotonic
2024-05-11T15:51:27.180653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 8
 
5.1%
448575.453228821 4
 
2.5%
449832.485937903 3
 
1.9%
449420.862074319 3
 
1.9%
449205.297777513 3
 
1.9%
447862.351973505 2
 
1.3%
448957.981318775 2
 
1.3%
448444.754635481 2
 
1.3%
447608.75787539 2
 
1.3%
448619.643767445 2
 
1.3%
Other values (122) 126
80.3%
ValueCountFrequency (%)
429463.510792933 1
0.6%
447377.562316484 1
0.6%
447608.75787539 2
1.3%
447611.349613647 1
0.6%
447632.296040333 1
0.6%
447639.665041334 1
0.6%
447702.928554054 1
0.6%
447723.583146072 1
0.6%
447739.550025135 1
0.6%
447783.615643554 1
0.6%
ValueCountFrequency (%)
452131.060476514 1
0.6%
451819.638034393 1
0.6%
451580.506637717 1
0.6%
451564.949419045 1
0.6%
451507.594204827 1
0.6%
451486.754063372 1
0.6%
451419.863914791 1
0.6%
451375.397521286 1
0.6%
451341.446617298 1
0.6%
451279.384736189 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
비디오물제작업
100 
<NA>
57 

Length

Max length7
Median length7
Mean length5.910828
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 100
63.7%
<NA> 57
36.3%

Length

2024-05-11T15:51:27.382942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:27.589639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 100
63.7%
na 57
36.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
유통관련업
 
6

Length

Max length5
Median length4
Mean length4.0382166
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 151
96.2%
유통관련업 6
 
3.8%

Length

2024-05-11T15:51:27.791985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:27.948565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
96.2%
유통관련업 6
 
3.8%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)42.9%
Missing143
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean3.3571429
Minimum0
Maximum23
Zeros7
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:51:28.087250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q35
95-th percentile11.95
Maximum23
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.1219296
Coefficient of variation (CV)1.8235535
Kurtosis9.216516
Mean3.3571429
Median Absolute Deviation (MAD)0.5
Skewness2.8672329
Sum47
Variance37.478022
MonotonicityNot monotonic
2024-05-11T15:51:28.291790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 7
 
4.5%
5 3
 
1.9%
6 1
 
0.6%
23 1
 
0.6%
1 1
 
0.6%
2 1
 
0.6%
(Missing) 143
91.1%
ValueCountFrequency (%)
0 7
4.5%
1 1
 
0.6%
2 1
 
0.6%
5 3
1.9%
6 1
 
0.6%
23 1
 
0.6%
ValueCountFrequency (%)
23 1
 
0.6%
6 1
 
0.6%
5 3
1.9%
2 1
 
0.6%
1 1
 
0.6%
0 7
4.5%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing154
Missing (%)98.1%
Memory size1.4 KiB
2024-05-11T15:51:28.463828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4
Min length2

Characters and Unicode

Total characters12
Distinct characters11
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

Unique3 ?
Unique (%)100.0%

Sample

1st row아파트지역
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
아파트지역 1
33.3%
주택가주변 1
33.3%
기타 1
33.3%
2024-05-11T15:51:28.830248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
16.7%
아 1
8.3%
파 1
8.3%
트 1
8.3%
지 1
8.3%
역 1
8.3%
택 1
8.3%
가 1
8.3%
변 1
8.3%
기 1
8.3%

제작취급품목내용
Text

MISSING 

Distinct77
Distinct (%)77.8%
Missing58
Missing (%)36.9%
Memory size1.4 KiB
2024-05-11T15:51:29.194929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length22
Mean length9.7171717
Min length3

Characters and Unicode

Total characters962
Distinct characters122
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

Unique74 ?
Unique (%)74.7%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row영상,비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 27
 
13.0%
영상 13
 
6.3%
영상물 12
 
5.8%
제작 8
 
3.9%
등 8
 
3.9%
광고 8
 
3.9%
홍보 8
 
3.9%
및 7
 
3.4%
광고영상 6
 
2.9%
편집 5
 
2.4%
Other values (82) 105
50.7%
2024-05-11T15:51:29.761394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
11.2%
영 83
 
8.6%
상 75
 
7.8%
, 65
 
6.8%
물 63
 
6.5%
디 49
 
5.1%
비 44
 
4.6%
오 43
 
4.5%
보 22
 
2.3%
고 22
 
2.3%
Other values (112) 388
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 747
77.7%
Space Separator 108
 
11.2%
Other Punctuation 67
 
7.0%
Uppercase Letter 21
 
2.2%
Lowercase Letter 12
 
1.2%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 83
 
11.1%
상 75
 
10.0%
물 63
 
8.4%
디 49
 
6.6%
비 44
 
5.9%
오 43
 
5.8%
보 22
 
2.9%
고 22
 
2.9%
광 21
 
2.8%
홍 21
 
2.8%
Other values (97) 304
40.7%
Uppercase Letter
ValueCountFrequency (%)
D 8
38.1%
V 6
28.6%
T 3
 
14.3%
C 2
 
9.5%
I 1
 
4.8%
P 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
d 6
50.0%
v 4
33.3%
c 2
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 65
97.0%
. 2
 
3.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 747
77.7%
Common 182
 
18.9%
Latin 33
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 83
 
11.1%
상 75
 
10.0%
물 63
 
8.4%
디 49
 
6.6%
비 44
 
5.9%
오 43
 
5.8%
보 22
 
2.9%
고 22
 
2.9%
광 21
 
2.8%
홍 21
 
2.8%
Other values (97) 304
40.7%
Latin
ValueCountFrequency (%)
D 8
24.2%
V 6
18.2%
d 6
18.2%
v 4
12.1%
T 3
 
9.1%
C 2
 
6.1%
c 2
 
6.1%
I 1
 
3.0%
P 1
 
3.0%
Common
ValueCountFrequency (%)
108
59.3%
, 65
35.7%
) 3
 
1.6%
( 3
 
1.6%
. 2
 
1.1%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 747
77.7%
ASCII 215
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
50.2%
, 65
30.2%
D 8
 
3.7%
V 6
 
2.8%
d 6
 
2.8%
v 4
 
1.9%
) 3
 
1.4%
T 3
 
1.4%
( 3
 
1.4%
C 2
 
0.9%
Other values (5) 7
 
3.3%
Hangul
ValueCountFrequency (%)
영 83
 
11.1%
상 75
 
10.0%
물 63
 
8.4%
디 49
 
6.6%
비 44
 
5.9%
오 43
 
5.8%
보 22
 
2.9%
고 22
 
2.9%
광 21
 
2.8%
홍 21
 
2.8%
Other values (97) 304
40.7%

시설면적
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)94.2%
Missing71
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean107.05942
Minimum1
Maximum1034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T15:51:30.025952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q133.405
median79.8
Q3115.42
95-th percentile339.23
Maximum1034
Range1033
Interquartile range (IQR)82.015

Descriptive statistics

Standard deviation133.85985
Coefficient of variation (CV)1.2503323
Kurtosis26.873873
Mean107.05942
Median Absolute Deviation (MAD)45.99
Skewness4.3891348
Sum9207.11
Variance17918.46
MonotonicityNot monotonic
2024-05-11T15:51:30.233356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 2
 
1.3%
30.0 2
 
1.3%
20.0 2
 
1.3%
80.95 2
 
1.3%
40.0 2
 
1.3%
93.24 1
 
0.6%
29.69 1
 
0.6%
16.52 1
 
0.6%
315.92 1
 
0.6%
39.6 1
 
0.6%
Other values (71) 71
45.2%
(Missing) 71
45.2%
ValueCountFrequency (%)
1.0 1
0.6%
5.4 1
0.6%
16.52 1
0.6%
18.7 1
0.6%
20.0 2
1.3%
21.0 1
0.6%
21.18 1
0.6%
23.36 1
0.6%
24.0 1
0.6%
24.18 1
0.6%
ValueCountFrequency (%)
1034.0 1
0.6%
385.31 1
0.6%
369.0 1
0.6%
364.15 1
0.6%
347.0 1
0.6%
315.92 1
0.6%
297.5 1
0.6%
274.0 1
0.6%
224.61 1
0.6%
198.21 1
0.6%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
144 
0
 
7
4
 
3
5
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.7515924
Min length1

Unique

Unique3 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
91.7%
0 7
 
4.5%
4 3
 
1.9%
5 1
 
0.6%
7 1
 
0.6%
3 1
 
0.6%

Length

2024-05-11T15:51:30.506114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:30.717448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 144
91.7%
0 7
 
4.5%
4 3
 
1.9%
5 1
 
0.6%
7 1
 
0.6%
3 1
 
0.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
145 
0
 
7
1
 
5

Length

Max length4
Median length4
Mean length3.7707006
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> 145
92.4%
0 7
 
4.5%
1 5
 
3.2%

Length

2024-05-11T15:51:30.921451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:31.190510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
92.4%
0 7
 
4.5%
1 5
 
3.2%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
근린생활시설
 
5

Length

Max length6
Median length4
Mean length4.0636943
Min length4

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> 152
96.8%
근린생활시설 5
 
3.2%

Length

2024-05-11T15:51:31.836139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:32.180717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
96.8%
근린생활시설 5
 
3.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
0
 
7

Length

Max length4
Median length4
Mean length3.866242
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> 150
95.5%
0 7
 
4.5%

Length

2024-05-11T15:51:32.549946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:32.904432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
95.5%
0 7
 
4.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
0
 
7

Length

Max length4
Median length4
Mean length3.866242
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> 150
95.5%
0 7
 
4.5%

Length

2024-05-11T15:51:33.125664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:33.300845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
95.5%
0 7
 
4.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
0
 
7

Length

Max length4
Median length4
Mean length3.866242
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> 150
95.5%
0 7
 
4.5%

Length

2024-05-11T15:51:33.508225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:33.680534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
95.5%
0 7
 
4.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
0
 
7

Length

Max length4
Median length4
Mean length3.866242
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> 150
95.5%
0 7
 
4.5%

Length

2024-05-11T15:51:33.859527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:34.045831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
95.5%
0 7
 
4.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
150 
0
 
7

Length

Max length4
Median length4
Mean length3.866242
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> 150
95.5%
0 7
 
4.5%

Length

2024-05-11T15:51:34.242131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:34.434766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
95.5%
0 7
 
4.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

지역구분명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing152
Missing (%)96.8%
Memory size1.4 KiB
2024-05-11T15:51:34.638961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.4
Min length4

Characters and Unicode

Total characters27
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row일반주거지역
2nd row상업지역
3rd row일반주거지역
4th row준주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 3
60.0%
상업지역 1
 
20.0%
준주거지역 1
 
20.0%
2024-05-11T15:51:35.158299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 4
14.8%
거 4
14.8%
일 3
11.1%
반 3
11.1%
상 1
 
3.7%
업 1
 
3.7%
준 1
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 4
14.8%
거 4
14.8%
일 3
11.1%
반 3
11.1%
상 1
 
3.7%
업 1
 
3.7%
준 1
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 4
14.8%
거 4
14.8%
일 3
11.1%
반 3
11.1%
상 1
 
3.7%
업 1
 
3.7%
준 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 5
18.5%
역 5
18.5%
주 4
14.8%
거 4
14.8%
일 3
11.1%
반 3
11.1%
상 1
 
3.7%
업 1
 
3.7%
준 1
 
3.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF12410719990000011999-07-02<NA>3폐업3폐업2023-11-30<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-*서울특별시 광진구 동일로 *** (중곡동)4917(주)전시과학2023-12-01 08:59:47U2022-11-02 00:03:00.0<NA>206566.06539450993.78226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000CDFF124107200200000120020225<NA>3폐업3폐업20170126<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 **-**번지서울특별시 광진구 능동로 ***, *층 (중곡동)4921(주)성화영상2017-01-26 09:33:03I2018-08-31 23:59:59.0<NA>207164.165989450971.915182비디오물제작업<NA><NA><NA>비디오물134.64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23040000CDFF124107200300000120030611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>143825서울특별시 광진구 구의동 ***-**번지 크레신타워*차 비* 오피스허브 ***호서울특별시 광진구 아차산로 ***, ***호 (구의동,크레신타워*차 비* 오피스허브)<NA>(주)마야 커뮤니케이션2007-04-20 13:12:43I2018-08-31 23:59:59.0<NA>207388.308849448313.517465비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFF124107200400000120040618<NA>3폐업3폐업20161202<NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-*번지 테크노마트 **층 *~**호서울특별시 광진구 광나루로**길 ** (구의동)5116(주)토탈커뮤니케이션그룹영컴2016-12-05 10:20:54I2018-08-31 23:59:59.0<NA>208394.416382448165.28비디오물제작업<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>
43040000CDFF124107200400000220040126<NA>3폐업3폐업20091224<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 ***-**번지 화양타워 ***호서울특별시 광진구 능동로**길 ** (화양동,화양타워 ***호)<NA>나비스2009-12-24 14:46:35I2018-08-31 23:59:59.0<NA>206219.841921449420.862074비디오물제작업<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>
53040000CDFF124107200500000120050727<NA>3폐업3폐업20130430<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 ***-**번지 *층서울특별시 광진구 광나루로 *** (화양동)143915여호수아워십댄싱 무용학원2013-04-30 16:10:08I2018-08-31 23:59:59.0<NA>206986.621531449213.170987비디오물제작업<NA><NA><NA>영상,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>
63040000CDFF124107200600000120060530<NA>1영업/정상13영업중<NA><NA><NA><NA>452-6724<NA>143847서울특별시 광진구 능동 ***-**번지서울특별시 광진구 능동로**길 * (능동)<NA>(주)에스인기획2006-05-30 09:23:48I2018-08-31 23:59:59.0<NA>206981.791419450452.834906비디오물제작업유통관련업<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>
73040000CDFF124107200600000320060703<NA>3폐업3폐업20080626<NA><NA><NA><NA><NA>143747서울특별시 광진구 군자동 **번지 세종대학교 충무관***호<NA><NA>(주)채널큐2008-06-26 13:24:08I2018-08-31 23:59:59.0<NA>206479.980834449827.630946비디오물제작업유통관련업<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>
83040000CDFF124107200600000420061124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>143915서울특별시 광진구 화양동 ***번지 *층서울특별시 광진구 광나루로 *** (화양동,*층)<NA>픽셔너리 애니메이션 스튜디오2006-11-24 13:23:28I2018-08-31 23:59:59.0<NA>206328.872983449477.8737비디오물제작업유통관련업<NA><NA>애니메이션 교육영상물 DVD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFF124107200600000520061222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>143831서울특별시 광진구 구의동 ***-**번지 현대*차(아)상가 지하<NA><NA>주-대주미디어2006-12-22 09:54:12I2018-08-31 23:59:59.0<NA>207967.009167448291.149284비디오물제작업유통관련업<NA><NA>dvd vcd 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
1473040000CDFF12410720230000152023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-**서울특별시 광진구 동일로**길 **, *층 (중곡동)4912?(PIP)2024-04-08 17:25:31U2023-12-03 23:00:00.0<NA>206913.580099451486.754063<NA><NA><NA><NA><NA><NA><NA><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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