Overview

Dataset statistics

Number of variables56
Number of observations270
Missing cells7105
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.0 KiB
Average record size in memory485.5 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17383/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 is highly imbalanced (61.9%)Imbalance
주변환경명 is highly imbalanced (80.1%)Imbalance
지하층수 is highly imbalanced (58.4%)Imbalance
건물용도명 is highly imbalanced (82.0%)Imbalance
통로너비 is highly imbalanced (66.1%)Imbalance
조명시설조도 is highly imbalanced (66.1%)Imbalance
노래방실수 is highly imbalanced (66.1%)Imbalance
청소년실수 is highly imbalanced (66.1%)Imbalance
총게임기수 is highly imbalanced (66.1%)Imbalance
지역구분명 is highly imbalanced (79.9%)Imbalance
인허가취소일자 has 270 (100.0%) missing valuesMissing
폐업일자 has 201 (74.4%) missing valuesMissing
휴업시작일자 has 270 (100.0%) missing valuesMissing
휴업종료일자 has 270 (100.0%) missing valuesMissing
재개업일자 has 270 (100.0%) missing valuesMissing
전화번호 has 116 (43.0%) missing valuesMissing
소재지면적 has 270 (100.0%) missing valuesMissing
소재지우편번호 has 249 (92.2%) missing valuesMissing
도로명우편번호 has 20 (7.4%) missing valuesMissing
업태구분명 has 270 (100.0%) missing valuesMissing
총층수 has 192 (71.1%) missing valuesMissing
제작취급품목내용 has 90 (33.3%) missing valuesMissing
시설면적 has 105 (38.9%) missing valuesMissing
지상층수 has 187 (69.3%) missing valuesMissing
비상계단여부 has 270 (100.0%) missing valuesMissing
비상구여부 has 270 (100.0%) missing valuesMissing
자동환기여부 has 270 (100.0%) missing valuesMissing
청소년실여부 has 270 (100.0%) missing valuesMissing
특수조명여부 has 270 (100.0%) missing valuesMissing
방음시설여부 has 270 (100.0%) missing valuesMissing
비디오재생기명 has 270 (100.0%) missing valuesMissing
조명시설유무 has 270 (100.0%) missing valuesMissing
음향시설여부 has 270 (100.0%) missing valuesMissing
편의시설여부 has 270 (100.0%) missing valuesMissing
소방시설여부 has 270 (100.0%) missing valuesMissing
기존게임업외업종명 has 270 (100.0%) missing valuesMissing
제공게임물명 has 270 (100.0%) missing valuesMissing
공연장형태구분명 has 270 (100.0%) missing valuesMissing
품목명 has 270 (100.0%) missing valuesMissing
최초등록시점 has 270 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 14 (5.2%) zerosZeros
지상층수 has 15 (5.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:33:00.580971
Analysis finished2024-05-11 06:33:01.807219
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3160000
270 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 270
100.0%

Length

2024-05-11T15:33:01.903279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:02.047612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 270
100.0%

관리번호
Text

UNIQUE 

Distinct270
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T15:33:02.323102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5400
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

Unique270 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071999000001
2nd rowCDFF1241072001000001
3rd rowCDFF1241072003000001
4th rowCDFF1241072003000003
5th rowCDFF1241072004000001
ValueCountFrequency (%)
cdff1241071999000001 1
 
0.4%
cdff1241072020000023 1
 
0.4%
cdff1241072020000025 1
 
0.4%
cdff1241072020000009 1
 
0.4%
cdff1241072020000010 1
 
0.4%
cdff1241072020000011 1
 
0.4%
cdff1241072020000012 1
 
0.4%
cdff1241072020000013 1
 
0.4%
cdff1241072020000014 1
 
0.4%
cdff1241072020000015 1
 
0.4%
Other values (260) 260
96.3%
2024-05-11T15:33:02.805516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1849
34.2%
1 832
15.4%
2 749
13.9%
F 540
 
10.0%
7 319
 
5.9%
4 318
 
5.9%
C 270
 
5.0%
D 270
 
5.0%
3 69
 
1.3%
9 51
 
0.9%
Other values (3) 133
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4320
80.0%
Uppercase Letter 1080
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1849
42.8%
1 832
19.3%
2 749
17.3%
7 319
 
7.4%
4 318
 
7.4%
3 69
 
1.6%
9 51
 
1.2%
5 47
 
1.1%
6 43
 
1.0%
8 43
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 540
50.0%
C 270
25.0%
D 270
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4320
80.0%
Latin 1080
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1849
42.8%
1 832
19.3%
2 749
17.3%
7 319
 
7.4%
4 318
 
7.4%
3 69
 
1.6%
9 51
 
1.2%
5 47
 
1.1%
6 43
 
1.0%
8 43
 
1.0%
Latin
ValueCountFrequency (%)
F 540
50.0%
C 270
25.0%
D 270
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1849
34.2%
1 832
15.4%
2 749
13.9%
F 540
 
10.0%
7 319
 
5.9%
4 318
 
5.9%
C 270
 
5.0%
D 270
 
5.0%
3 69
 
1.3%
9 51
 
0.9%
Other values (3) 133
 
2.5%

인허가일자
Date

Distinct256
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1999-12-02 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T15:33:03.082486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:03.346443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
201 
3
54 
5
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 201
74.4%
3 54
 
20.0%
5 15
 
5.6%

Length

2024-05-11T15:33:03.539222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:03.686969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 201
74.4%
3 54
 
20.0%
5 15
 
5.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업/정상
201 
폐업
54 
제외/삭제/전출
 
15

Length

Max length8
Median length5
Mean length4.5666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 201
74.4%
폐업 54
 
20.0%
제외/삭제/전출 15
 
5.6%

Length

2024-05-11T15:33:03.856838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:03.993981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 201
74.4%
폐업 54
 
20.0%
제외/삭제/전출 15
 
5.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
13
201 
3
54 
15
 
15

Length

Max length2
Median length2
Mean length1.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 201
74.4%
3 54
 
20.0%
15 15
 
5.6%

Length

2024-05-11T15:33:04.155409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:04.281540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 201
74.4%
3 54
 
20.0%
15 15
 
5.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
영업중
201 
폐업
54 
전출
 
15

Length

Max length3
Median length3
Mean length2.7444444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 201
74.4%
폐업 54
 
20.0%
전출 15
 
5.6%

Length

2024-05-11T15:33:04.417478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:04.541839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 201
74.4%
폐업 54
 
20.0%
전출 15
 
5.6%

폐업일자
Date

MISSING 

Distinct65
Distinct (%)94.2%
Missing201
Missing (%)74.4%
Memory size2.2 KiB
Minimum2006-09-11 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:33:04.673954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:04.827551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

전화번호
Text

MISSING 

Distinct150
Distinct (%)97.4%
Missing116
Missing (%)43.0%
Memory size2.2 KiB
2024-05-11T15:33:05.215332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.279221
Min length8

Characters and Unicode

Total characters1737
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

Unique146 ?
Unique (%)94.8%

Sample

1st row2060-2869
2nd row3782-8773
3rd row02-3282-9500
4th row6220-3366
5th row2616-7717
ValueCountFrequency (%)
070-7011-5793 2
 
1.3%
02-801-7200 2
 
1.3%
857-6394 2
 
1.3%
02-2257-7760 2
 
1.3%
070-4890-9813 1
 
0.6%
02-498-7750 1
 
0.6%
02-6933-0627 1
 
0.6%
02-2060-4323 1
 
0.6%
070-4148-3858 1
 
0.6%
070-4009-4110 1
 
0.6%
Other values (141) 141
91.0%
2024-05-11T15:33:05.728931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 332
19.1%
- 279
16.1%
2 227
13.1%
7 142
8.2%
8 139
8.0%
6 120
 
6.9%
1 116
 
6.7%
5 110
 
6.3%
3 100
 
5.8%
4 89
 
5.1%
Other values (2) 83
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1457
83.9%
Dash Punctuation 279
 
16.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 332
22.8%
2 227
15.6%
7 142
9.7%
8 139
9.5%
6 120
 
8.2%
1 116
 
8.0%
5 110
 
7.5%
3 100
 
6.9%
4 89
 
6.1%
9 82
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1737
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 332
19.1%
- 279
16.1%
2 227
13.1%
7 142
8.2%
8 139
8.0%
6 120
 
6.9%
1 116
 
6.7%
5 110
 
6.3%
3 100
 
5.8%
4 89
 
5.1%
Other values (2) 83
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 332
19.1%
- 279
16.1%
2 227
13.1%
7 142
8.2%
8 139
8.0%
6 120
 
6.9%
1 116
 
6.7%
5 110
 
6.3%
3 100
 
5.8%
4 89
 
5.1%
Other values (2) 83
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)52.4%
Missing249
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean152849.38
Minimum152801
Maximum152895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:06.187929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152801
5-th percentile152838
Q1152847
median152848
Q3152848
95-th percentile152887
Maximum152895
Range94
Interquartile range (IQR)1

Descriptive statistics

Standard deviation17.774915
Coefficient of variation (CV)0.0001162904
Kurtosis4.5238374
Mean152849.38
Median Absolute Deviation (MAD)0
Skewness0.34377639
Sum3209837
Variance315.94762
MonotonicityNot monotonic
2024-05-11T15:33:06.355651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
152848 11
 
4.1%
152895 1
 
0.4%
152847 1
 
0.4%
152841 1
 
0.4%
152843 1
 
0.4%
152887 1
 
0.4%
152844 1
 
0.4%
152838 1
 
0.4%
152801 1
 
0.4%
152850 1
 
0.4%
(Missing) 249
92.2%
ValueCountFrequency (%)
152801 1
 
0.4%
152838 1
 
0.4%
152841 1
 
0.4%
152843 1
 
0.4%
152844 1
 
0.4%
152847 1
 
0.4%
152848 11
4.1%
152850 1
 
0.4%
152863 1
 
0.4%
152887 1
 
0.4%
ValueCountFrequency (%)
152895 1
 
0.4%
152887 1
 
0.4%
152863 1
 
0.4%
152850 1
 
0.4%
152848 11
4.1%
152847 1
 
0.4%
152844 1
 
0.4%
152843 1
 
0.4%
152841 1
 
0.4%
152838 1
 
0.4%

지번주소
Text

Distinct222
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T15:33:06.590991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length32.725926
Min length18

Characters and Unicode

Total characters8836
Distinct characters218
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)70.0%

Sample

1st row서울특별시 구로구 오류동 **-*번지 가든빌라 *동 ***호
2nd row서울특별시 구로구 구로동 ***번지 한신IT타워 ***,***호
3rd row서울특별시 구로구 구로동 ***-**번지 대륭포스트타워* ****호
4th row서울특별시 구로구 구로동 ***-**번지 이스페이스
5th row서울특별시 구로구 구로동 ***-*번지 에이스하이엔드타워 ****호
ValueCountFrequency (%)
서울특별시 270
17.4%
구로구 270
17.4%
구로동 233
15.1%
호 162
10.5%
번지 137
8.9%
125
8.1%
대륭포스트타워*차 23
 
1.5%
이앤씨벤처드림타워*차 17
 
1.1%
동 17
 
1.1%
에이스테크노타워*차 12
 
0.8%
Other values (158) 282
18.2%
2024-05-11T15:33:07.103309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1837
20.8%
1347
15.2%
구 776
 
8.8%
로 507
 
5.7%
동 294
 
3.3%
시 275
 
3.1%
울 273
 
3.1%
서 272
 
3.1%
별 271
 
3.1%
특 270
 
3.1%
Other values (208) 2714
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5295
59.9%
Other Punctuation 1844
 
20.9%
Space Separator 1347
 
15.2%
Dash Punctuation 235
 
2.7%
Decimal Number 68
 
0.8%
Uppercase Letter 29
 
0.3%
Letter Number 11
 
0.1%
Lowercase Letter 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 776
 
14.7%
로 507
 
9.6%
동 294
 
5.6%
시 275
 
5.2%
울 273
 
5.2%
서 272
 
5.1%
별 271
 
5.1%
특 270
 
5.1%
지 189
 
3.6%
호 185
 
3.5%
Other values (172) 1983
37.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
17.2%
T 5
17.2%
I 5
17.2%
A 5
17.2%
E 1
 
3.4%
U 1
 
3.4%
R 1
 
3.4%
Q 1
 
3.4%
S 1
 
3.4%
G 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
1 19
27.9%
2 14
20.6%
0 7
 
10.3%
6 5
 
7.4%
9 5
 
7.4%
7 5
 
7.4%
5 5
 
7.4%
8 3
 
4.4%
4 3
 
4.4%
3 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
* 1837
99.6%
, 6
 
0.3%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
e 1
25.0%
k 1
25.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 7
63.6%
Ⅱ 4
36.4%
Space Separator
ValueCountFrequency (%)
1347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5295
59.9%
Common 3497
39.6%
Latin 44
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 776
 
14.7%
로 507
 
9.6%
동 294
 
5.6%
시 275
 
5.2%
울 273
 
5.2%
서 272
 
5.1%
별 271
 
5.1%
특 270
 
5.1%
지 189
 
3.6%
호 185
 
3.5%
Other values (172) 1983
37.5%
Common
ValueCountFrequency (%)
* 1837
52.5%
1347
38.5%
- 235
 
6.7%
1 19
 
0.5%
2 14
 
0.4%
0 7
 
0.2%
, 6
 
0.2%
6 5
 
0.1%
9 5
 
0.1%
7 5
 
0.1%
Other values (8) 17
 
0.5%
Latin
ValueCountFrequency (%)
Ⅲ 7
15.9%
B 5
11.4%
T 5
11.4%
I 5
11.4%
A 5
11.4%
Ⅱ 4
9.1%
s 2
 
4.5%
E 1
 
2.3%
U 1
 
2.3%
R 1
 
2.3%
Other values (8) 8
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5295
59.9%
ASCII 3530
40.0%
Number Forms 11
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1837
52.0%
1347
38.2%
- 235
 
6.7%
1 19
 
0.5%
2 14
 
0.4%
0 7
 
0.2%
, 6
 
0.2%
6 5
 
0.1%
B 5
 
0.1%
9 5
 
0.1%
Other values (24) 50
 
1.4%
Hangul
ValueCountFrequency (%)
구 776
 
14.7%
로 507
 
9.6%
동 294
 
5.6%
시 275
 
5.2%
울 273
 
5.2%
서 272
 
5.1%
별 271
 
5.1%
특 270
 
5.1%
지 189
 
3.6%
호 185
 
3.5%
Other values (172) 1983
37.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 7
63.6%
Ⅱ 4
36.4%

도로명주소
Text

Distinct230
Distinct (%)85.5%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-05-11T15:33:07.391048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length52
Mean length41.126394
Min length23

Characters and Unicode

Total characters11063
Distinct characters225
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)76.2%

Sample

1st row서울특별시 구로구 경인로 **, *동 ***호 (오류동,가든빌라)
2nd row서울특별시 구로구 디지털로 *** (구로동)
3rd row서울특별시 구로구 디지털로 ***, ****호 (구로동,대륭포스트타워*)
4th row서울특별시 구로구 디지털로**길 **, *층 (구로동, 이스페이스)
5th row서울특별시 구로구 디지털로**길 *, ****호 (구로동,에이스하이엔드타워)
ValueCountFrequency (%)
서울특별시 269
14.3%
구로구 269
14.3%
266
14.2%
구로동 205
10.9%
호 197
10.5%
디지털로**길 124
 
6.6%
층 50
 
2.7%
디지털로 47
 
2.5%
동 19
 
1.0%
대륭포스트타워*차 17
 
0.9%
Other values (216) 415
22.1%
2024-05-11T15:33:07.892876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1978
17.9%
1642
14.8%
구 800
 
7.2%
로 798
 
7.2%
, 364
 
3.3%
동 313
 
2.8%
시 275
 
2.5%
) 272
 
2.5%
( 272
 
2.5%
서 270
 
2.4%
Other values (215) 4079
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6372
57.6%
Other Punctuation 2342
 
21.2%
Space Separator 1642
 
14.8%
Close Punctuation 272
 
2.5%
Open Punctuation 272
 
2.5%
Decimal Number 73
 
0.7%
Dash Punctuation 39
 
0.4%
Uppercase Letter 33
 
0.3%
Letter Number 12
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 800
 
12.6%
로 798
 
12.5%
동 313
 
4.9%
시 275
 
4.3%
서 270
 
4.2%
별 270
 
4.2%
울 270
 
4.2%
특 269
 
4.2%
지 236
 
3.7%
호 224
 
3.5%
Other values (179) 2647
41.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
21.2%
A 6
18.2%
T 4
12.1%
I 4
12.1%
S 2
 
6.1%
D 1
 
3.0%
J 1
 
3.0%
P 1
 
3.0%
H 1
 
3.0%
K 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 16
21.9%
2 14
19.2%
0 12
16.4%
8 9
12.3%
3 7
9.6%
5 5
 
6.8%
6 4
 
5.5%
4 3
 
4.1%
7 2
 
2.7%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
* 1978
84.5%
, 364
 
15.5%
Letter Number
ValueCountFrequency (%)
Ⅲ 9
75.0%
Ⅱ 3
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
1642
100.0%
Close Punctuation
ValueCountFrequency (%)
) 272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6372
57.6%
Common 4644
42.0%
Latin 47
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 800
 
12.6%
로 798
 
12.5%
동 313
 
4.9%
시 275
 
4.3%
서 270
 
4.2%
별 270
 
4.2%
울 270
 
4.2%
특 269
 
4.2%
지 236
 
3.7%
호 224
 
3.5%
Other values (179) 2647
41.5%
Latin
ValueCountFrequency (%)
Ⅲ 9
19.1%
B 7
14.9%
A 6
12.8%
T 4
8.5%
I 4
8.5%
Ⅱ 3
 
6.4%
S 2
 
4.3%
D 1
 
2.1%
J 1
 
2.1%
P 1
 
2.1%
Other values (9) 9
19.1%
Common
ValueCountFrequency (%)
* 1978
42.6%
1642
35.4%
, 364
 
7.8%
) 272
 
5.9%
( 272
 
5.9%
- 39
 
0.8%
1 16
 
0.3%
2 14
 
0.3%
0 12
 
0.3%
8 9
 
0.2%
Other values (7) 26
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6372
57.6%
ASCII 4679
42.3%
Number Forms 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1978
42.3%
1642
35.1%
, 364
 
7.8%
) 272
 
5.8%
( 272
 
5.8%
- 39
 
0.8%
1 16
 
0.3%
2 14
 
0.3%
0 12
 
0.3%
8 9
 
0.2%
Other values (24) 61
 
1.3%
Hangul
ValueCountFrequency (%)
구 800
 
12.6%
로 798
 
12.5%
동 313
 
4.9%
시 275
 
4.3%
서 270
 
4.2%
별 270
 
4.2%
울 270
 
4.2%
특 269
 
4.2%
지 236
 
3.7%
호 224
 
3.5%
Other values (179) 2647
41.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 9
75.0%
Ⅱ 3
 
25.0%

도로명우편번호
Text

MISSING 

Distinct63
Distinct (%)25.2%
Missing20
Missing (%)7.4%
Memory size2.2 KiB
2024-05-11T15:33:08.197869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.028
Min length5

Characters and Unicode

Total characters1257
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

Unique33 ?
Unique (%)13.2%

Sample

1st row08389
2nd row08378
3rd row08381
4th row08389
5th row08390
ValueCountFrequency (%)
08390 32
 
12.8%
08381 29
 
11.6%
08389 22
 
8.8%
08378 19
 
7.6%
08380 18
 
7.2%
08375 12
 
4.8%
08376 10
 
4.0%
08377 9
 
3.6%
08301 7
 
2.8%
08393 6
 
2.4%
Other values (53) 86
34.4%
2024-05-11T15:33:08.868676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 354
28.2%
0 323
25.7%
3 212
16.9%
9 90
 
7.2%
7 77
 
6.1%
2 73
 
5.8%
1 58
 
4.6%
5 32
 
2.5%
6 25
 
2.0%
4 12
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1256
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 354
28.2%
0 323
25.7%
3 212
16.9%
9 90
 
7.2%
7 77
 
6.1%
2 73
 
5.8%
1 58
 
4.6%
5 32
 
2.5%
6 25
 
2.0%
4 12
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1257
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 354
28.2%
0 323
25.7%
3 212
16.9%
9 90
 
7.2%
7 77
 
6.1%
2 73
 
5.8%
1 58
 
4.6%
5 32
 
2.5%
6 25
 
2.0%
4 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1257
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 354
28.2%
0 323
25.7%
3 212
16.9%
9 90
 
7.2%
7 77
 
6.1%
2 73
 
5.8%
1 58
 
4.6%
5 32
 
2.5%
6 25
 
2.0%
4 12
 
1.0%

사업장명
Text

Distinct264
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-05-11T15:33:09.234617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length8.7296296
Min length2

Characters and Unicode

Total characters2357
Distinct characters320
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

Unique258 ?
Unique (%)95.6%

Sample

1st row킹 프로덕션
2nd row(주)드림한스
3rd row(주)유비온
4th row동우에이앤이(주)
5th row(주)디앤아이엔터테인먼트
ValueCountFrequency (%)
주식회사 56
 
15.3%
미디어 5
 
1.4%
주 5
 
1.4%
스튜디오 4
 
1.1%
프로덕션 4
 
1.1%
주)후이즈 2
 
0.5%
사회적협동조합 2
 
0.5%
조이엘 2
 
0.5%
주)한영씨앤텍 2
 
0.5%
아트디(art-d 2
 
0.5%
Other values (281) 283
77.1%
2024-05-11T15:33:09.787737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 202
 
8.6%
( 150
 
6.4%
) 150
 
6.4%
이 107
 
4.5%
97
 
4.1%
스 71
 
3.0%
사 66
 
2.8%
회 62
 
2.6%
식 60
 
2.5%
디 58
 
2.5%
Other values (310) 1334
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1855
78.7%
Open Punctuation 150
 
6.4%
Close Punctuation 150
 
6.4%
Space Separator 97
 
4.1%
Uppercase Letter 46
 
2.0%
Lowercase Letter 43
 
1.8%
Other Punctuation 7
 
0.3%
Decimal Number 5
 
0.2%
Dash Punctuation 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 202
 
10.9%
이 107
 
5.8%
스 71
 
3.8%
사 66
 
3.6%
회 62
 
3.3%
식 60
 
3.2%
디 58
 
3.1%
미 36
 
1.9%
어 35
 
1.9%
트 28
 
1.5%
Other values (265) 1130
60.9%
Uppercase Letter
ValueCountFrequency (%)
T 5
 
10.9%
M 3
 
6.5%
O 3
 
6.5%
L 3
 
6.5%
S 3
 
6.5%
I 3
 
6.5%
D 3
 
6.5%
R 3
 
6.5%
C 3
 
6.5%
F 3
 
6.5%
Other values (9) 14
30.4%
Lowercase Letter
ValueCountFrequency (%)
u 6
14.0%
t 4
9.3%
l 4
9.3%
i 4
9.3%
n 4
9.3%
a 3
7.0%
o 3
7.0%
d 3
7.0%
c 3
7.0%
m 3
7.0%
Other values (4) 6
14.0%
Decimal Number
ValueCountFrequency (%)
6 1
20.0%
0 1
20.0%
3 1
20.0%
5 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
, 2
 
28.6%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1855
78.7%
Common 413
 
17.5%
Latin 89
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 202
 
10.9%
이 107
 
5.8%
스 71
 
3.8%
사 66
 
3.6%
회 62
 
3.3%
식 60
 
3.2%
디 58
 
3.1%
미 36
 
1.9%
어 35
 
1.9%
트 28
 
1.5%
Other values (265) 1130
60.9%
Latin
ValueCountFrequency (%)
u 6
 
6.7%
T 5
 
5.6%
t 4
 
4.5%
l 4
 
4.5%
i 4
 
4.5%
n 4
 
4.5%
a 3
 
3.4%
o 3
 
3.4%
d 3
 
3.4%
M 3
 
3.4%
Other values (23) 50
56.2%
Common
ValueCountFrequency (%)
( 150
36.3%
) 150
36.3%
97
23.5%
. 5
 
1.2%
- 3
 
0.7%
, 2
 
0.5%
6 1
 
0.2%
0 1
 
0.2%
3 1
 
0.2%
_ 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1855
78.7%
ASCII 502
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 202
 
10.9%
이 107
 
5.8%
스 71
 
3.8%
사 66
 
3.6%
회 62
 
3.3%
식 60
 
3.2%
디 58
 
3.1%
미 36
 
1.9%
어 35
 
1.9%
트 28
 
1.5%
Other values (265) 1130
60.9%
ASCII
ValueCountFrequency (%)
( 150
29.9%
) 150
29.9%
97
19.3%
u 6
 
1.2%
. 5
 
1.0%
T 5
 
1.0%
t 4
 
0.8%
l 4
 
0.8%
i 4
 
0.8%
n 4
 
0.8%
Other values (35) 73
14.5%

최종수정일자
Date

UNIQUE 

Distinct270
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2006-03-14 13:35:22
Maximum2024-05-01 11:49:36
2024-05-11T15:33:10.017421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:10.187056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
I
195 
U
75 

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 195
72.2%
U 75
 
27.8%

Length

2024-05-11T15:33:10.378089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:10.522025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 195
72.2%
u 75
 
27.8%

데이터갱신일자
Date

Distinct145
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T15:33:10.664064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:10.865499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct114
Distinct (%)42.5%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean190051.3
Minimum183746.69
Maximum191191.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:11.069877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183746.69
5-th percentile185909.17
Q1190250.73
median190528.45
Q3190680.54
95-th percentile190980.66
Maximum191191.94
Range7445.2491
Interquartile range (IQR)429.81082

Descriptive statistics

Standard deviation1433.4692
Coefficient of variation (CV)0.007542538
Kurtosis7.8600342
Mean190051.3
Median Absolute Deviation (MAD)196.05355
Skewness-2.8749871
Sum50933748
Variance2054833.8
MonotonicityNot monotonic
2024-05-11T15:33:11.267051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190680.536850936 12
 
4.4%
190528.450104488 11
 
4.1%
190594.904645635 10
 
3.7%
190415.331312828 8
 
3.0%
190919.498006713 7
 
2.6%
191020.264430044 7
 
2.6%
190776.468544178 7
 
2.6%
190671.436719919 7
 
2.6%
190822.851419439 6
 
2.2%
190423.216683488 6
 
2.2%
Other values (104) 187
69.3%
ValueCountFrequency (%)
183746.686550444 3
1.1%
184219.092746186 1
 
0.4%
184290.893400642 1
 
0.4%
184887.892281518 1
 
0.4%
184986.529234958 1
 
0.4%
185175.680090227 1
 
0.4%
185311.370050289 1
 
0.4%
185751.913987704 1
 
0.4%
185805.334575639 1
 
0.4%
185837.924401264 2
0.7%
ValueCountFrequency (%)
191191.935645894 1
 
0.4%
191020.264430044 7
2.6%
190987.661570042 1
 
0.4%
190980.657371441 6
2.2%
190967.257864999 2
 
0.7%
190951.334281004 1
 
0.4%
190919.498006713 7
2.6%
190887.117653337 4
1.5%
190850.393432023 1
 
0.4%
190845.231594802 2
 
0.7%

좌표정보(Y)
Real number (ℝ)

Distinct114
Distinct (%)42.5%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean442934.63
Minimum441744.41
Maximum445795.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:11.460209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441744.41
5-th percentile442138.99
Q1442352.77
median442584.88
Q3443546.88
95-th percentile444833.1
Maximum445795.07
Range4050.6595
Interquartile range (IQR)1194.1123

Descriptive statistics

Standard deviation881.3051
Coefficient of variation (CV)0.0019896957
Kurtosis0.37020831
Mean442934.63
Median Absolute Deviation (MAD)260.13885
Skewness1.225499
Sum1.1870648 × 108
Variance776698.68
MonotonicityNot monotonic
2024-05-11T15:33:11.672804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442392.645303533 12
 
4.4%
442352.770364667 11
 
4.1%
442261.654499191 10
 
3.7%
442596.203831363 8
 
3.0%
442584.884725076 7
 
2.6%
442460.919021593 7
 
2.6%
442370.143700207 7
 
2.6%
442219.137493629 7
 
2.6%
442253.132895893 6
 
2.2%
442403.568114284 6
 
2.2%
Other values (104) 187
69.3%
ValueCountFrequency (%)
441744.40616131 3
1.1%
441757.61007598 1
 
0.4%
441862.85496884 1
 
0.4%
441911.257105979 1
 
0.4%
441973.603139541 1
 
0.4%
442071.447779897 3
1.1%
442113.916061607 2
 
0.7%
442118.236573158 1
 
0.4%
442130.370373432 1
 
0.4%
442154.992807483 5
1.9%
ValueCountFrequency (%)
445795.065707973 1
0.4%
445356.606600145 1
0.4%
445265.191940304 1
0.4%
445250.538868558 2
0.7%
445157.626366229 2
0.7%
445054.282855676 1
0.4%
444999.461907513 1
0.4%
444978.682746138 1
0.4%
444898.367647601 1
0.4%
444891.605594405 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
비디오물제작업
183 
<NA>
87 

Length

Max length7
Median length7
Mean length6.0333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 183
67.8%
<NA> 87
32.2%

Length

2024-05-11T15:33:11.888541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:12.032309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 183
67.8%
na 87
32.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
250 
유통관련업
 
20

Length

Max length5
Median length4
Mean length4.0740741
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 250
92.6%
유통관련업 20
 
7.4%

Length

2024-05-11T15:33:12.188361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:12.349944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 250
92.6%
유통관련업 20
 
7.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)28.2%
Missing192
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean11.153846
Minimum0
Maximum30
Zeros14
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:12.489423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median12.5
Q315
95-th percentile25.15
Maximum30
Range30
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation7.8311349
Coefficient of variation (CV)0.70210175
Kurtosis-0.42883787
Mean11.153846
Median Absolute Deviation (MAD)4
Skewness0.22242296
Sum870
Variance61.326673
MonotonicityNot monotonic
2024-05-11T15:33:12.676680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 14
 
5.2%
10 10
 
3.7%
15 9
 
3.3%
14 7
 
2.6%
13 6
 
2.2%
5 4
 
1.5%
4 3
 
1.1%
22 3
 
1.1%
17 3
 
1.1%
11 2
 
0.7%
Other values (12) 17
 
6.3%
(Missing) 192
71.1%
ValueCountFrequency (%)
0 14
5.2%
2 2
 
0.7%
3 1
 
0.4%
4 3
 
1.1%
5 4
 
1.5%
9 2
 
0.7%
10 10
3.7%
11 2
 
0.7%
12 1
 
0.4%
13 6
2.2%
ValueCountFrequency (%)
30 2
0.7%
26 2
0.7%
25 1
 
0.4%
23 1
 
0.4%
22 3
1.1%
21 1
 
0.4%
20 1
 
0.4%
18 1
 
0.4%
17 3
1.1%
16 2
0.7%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
257 
기타
 
10
학교정화(상대)
 
3

Length

Max length8
Median length4
Mean length3.9703704
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 257
95.2%
기타 10
 
3.7%
학교정화(상대) 3
 
1.1%

Length

2024-05-11T15:33:12.869745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:13.031040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
95.2%
기타 10
 
3.7%
학교정화(상대 3
 
1.1%

제작취급품목내용
Text

MISSING 

Distinct57
Distinct (%)31.7%
Missing90
Missing (%)33.3%
Memory size2.2 KiB
2024-05-11T15:33:13.299603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length5.95
Min length2

Characters and Unicode

Total characters1071
Distinct characters81
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

Unique47 ?
Unique (%)26.1%

Sample

1st row비디오물
2nd row전시영상제작 추가
3rd row교육용비디오물
4th row게임물
5th row비디오물
ValueCountFrequency (%)
비디오물 74
32.3%
비디오물제작 22
 
9.6%
애니메이션 16
 
7.0%
영상물 14
 
6.1%
영상물제작 8
 
3.5%
및 8
 
3.5%
홍보영상 6
 
2.6%
영상 5
 
2.2%
등 5
 
2.2%
제작 4
 
1.7%
Other values (54) 67
29.3%
2024-05-11T15:33:13.761110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 142
13.3%
디 114
 
10.6%
비 111
 
10.4%
오 111
 
10.4%
영 66
 
6.2%
상 62
 
5.8%
49
 
4.6%
제 42
 
3.9%
작 42
 
3.9%
, 26
 
2.4%
Other values (71) 306
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 963
89.9%
Space Separator 49
 
4.6%
Other Punctuation 27
 
2.5%
Uppercase Letter 18
 
1.7%
Lowercase Letter 5
 
0.5%
Decimal Number 5
 
0.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 142
14.7%
디 114
11.8%
비 111
11.5%
오 111
11.5%
영 66
 
6.9%
상 62
 
6.4%
제 42
 
4.4%
작 42
 
4.4%
홍 20
 
2.1%
보 20
 
2.1%
Other values (54) 233
24.2%
Uppercase Letter
ValueCountFrequency (%)
D 7
38.9%
V 4
22.2%
C 2
 
11.1%
G 2
 
11.1%
R 2
 
11.1%
T 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
d 3
60.0%
v 1
 
20.0%
c 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 2
40.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
? 1
 
3.7%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 963
89.9%
Common 85
 
7.9%
Latin 23
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 142
14.7%
디 114
11.8%
비 111
11.5%
오 111
11.5%
영 66
 
6.9%
상 62
 
6.4%
제 42
 
4.4%
작 42
 
4.4%
홍 20
 
2.1%
보 20
 
2.1%
Other values (54) 233
24.2%
Latin
ValueCountFrequency (%)
D 7
30.4%
V 4
17.4%
d 3
13.0%
C 2
 
8.7%
G 2
 
8.7%
R 2
 
8.7%
v 1
 
4.3%
T 1
 
4.3%
c 1
 
4.3%
Common
ValueCountFrequency (%)
49
57.6%
, 26
30.6%
3 2
 
2.4%
2 2
 
2.4%
( 2
 
2.4%
) 2
 
2.4%
4 1
 
1.2%
? 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 963
89.9%
ASCII 108
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 142
14.7%
디 114
11.8%
비 111
11.5%
오 111
11.5%
영 66
 
6.9%
상 62
 
6.4%
제 42
 
4.4%
작 42
 
4.4%
홍 20
 
2.1%
보 20
 
2.1%
Other values (54) 233
24.2%
ASCII
ValueCountFrequency (%)
49
45.4%
, 26
24.1%
D 7
 
6.5%
V 4
 
3.7%
d 3
 
2.8%
3 2
 
1.9%
2 2
 
1.9%
C 2
 
1.9%
G 2
 
1.9%
R 2
 
1.9%
Other values (7) 9
 
8.3%

시설면적
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)93.3%
Missing105
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean190.54697
Minimum0
Maximum4328.15
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:13.986830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.68
Q138.84
median104
Q3202.29
95-th percentile542.146
Maximum4328.15
Range4328.15
Interquartile range (IQR)163.45

Descriptive statistics

Standard deviation403.14506
Coefficient of variation (CV)2.1157254
Kurtosis71.184637
Mean190.54697
Median Absolute Deviation (MAD)69.39
Skewness7.5960401
Sum31440.25
Variance162525.94
MonotonicityNot monotonic
2024-05-11T15:33:14.221109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.27 3
 
1.1%
104.0 2
 
0.7%
26.18 2
 
0.7%
33.0 2
 
0.7%
0.0 2
 
0.7%
49.58 2
 
0.7%
135.0 2
 
0.7%
300.12 2
 
0.7%
113.1 2
 
0.7%
60.0 2
 
0.7%
Other values (144) 144
53.3%
(Missing) 105
38.9%
ValueCountFrequency (%)
0.0 2
0.7%
1.0 1
0.4%
3.0 1
0.4%
5.5 1
0.4%
6.0 1
0.4%
6.6 1
0.4%
7.0 1
0.4%
7.6 1
0.4%
8.0 1
0.4%
8.2 1
0.4%
ValueCountFrequency (%)
4328.15 1
0.4%
2150.67 1
0.4%
1278.69 1
0.4%
918.83 1
0.4%
853.65 1
0.4%
798.51 1
0.4%
723.76 1
0.4%
554.0 1
0.4%
553.85 1
0.4%
495.33 1
0.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)24.1%
Missing187
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean6.0722892
Minimum0
Maximum23
Zeros15
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-05-11T15:33:14.450823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile17.9
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.660697
Coefficient of variation (CV)0.93221797
Kurtosis0.29822795
Mean6.0722892
Median Absolute Deviation (MAD)4
Skewness0.98337527
Sum504
Variance32.043491
MonotonicityNot monotonic
2024-05-11T15:33:14.626143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 15
 
5.6%
3 12
 
4.4%
4 8
 
3.0%
1 5
 
1.9%
10 5
 
1.9%
2 5
 
1.9%
7 5
 
1.9%
12 4
 
1.5%
8 4
 
1.5%
14 3
 
1.1%
Other values (10) 17
 
6.3%
(Missing) 187
69.3%
ValueCountFrequency (%)
0 15
5.6%
1 5
 
1.9%
2 5
 
1.9%
3 12
4.4%
4 8
3.0%
5 2
 
0.7%
6 3
 
1.1%
7 5
 
1.9%
8 4
 
1.5%
9 1
 
0.4%
ValueCountFrequency (%)
23 1
 
0.4%
20 2
 
0.7%
18 2
 
0.7%
17 1
 
0.4%
15 1
 
0.4%
14 3
1.1%
13 1
 
0.4%
12 4
1.5%
11 3
1.1%
10 5
1.9%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
217 
0
 
21
2
 
15
1
 
14
3
 
2

Length

Max length4
Median length4
Mean length3.4111111
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 217
80.4%
0 21
 
7.8%
2 15
 
5.6%
1 14
 
5.2%
3 2
 
0.7%
4 1
 
0.4%

Length

2024-05-11T15:33:14.801679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:14.958498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
80.4%
0 21
 
7.8%
2 15
 
5.6%
1 14
 
5.2%
3 2
 
0.7%
4 1
 
0.4%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
256 
근린생활시설
 
8
기타
 
5
사무실
 
1

Length

Max length6
Median length4
Mean length4.0185185
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 256
94.8%
근린생활시설 8
 
3.0%
기타 5
 
1.9%
사무실 1
 
0.4%

Length

2024-05-11T15:33:15.119071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:15.274595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 256
94.8%
근린생활시설 8
 
3.0%
기타 5
 
1.9%
사무실 1
 
0.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
253 
0
 
17

Length

Max length4
Median length4
Mean length3.8111111
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> 253
93.7%
0 17
 
6.3%

Length

2024-05-11T15:33:15.417302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:15.560706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
93.7%
0 17
 
6.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
253 
0
 
17

Length

Max length4
Median length4
Mean length3.8111111
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> 253
93.7%
0 17
 
6.3%

Length

2024-05-11T15:33:15.710870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:15.860420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
93.7%
0 17
 
6.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
253 
0
 
17

Length

Max length4
Median length4
Mean length3.8111111
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> 253
93.7%
0 17
 
6.3%

Length

2024-05-11T15:33:16.017905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:16.177262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
93.7%
0 17
 
6.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
253 
0
 
17

Length

Max length4
Median length4
Mean length3.8111111
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> 253
93.7%
0 17
 
6.3%

Length

2024-05-11T15:33:16.362893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:16.527850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
93.7%
0 17
 
6.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
253 
0
 
17

Length

Max length4
Median length4
Mean length3.8111111
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> 253
93.7%
0 17
 
6.3%

Length

2024-05-11T15:33:16.703036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:17.201408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
93.7%
0 17
 
6.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing270
Missing (%)100.0%
Memory size2.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
247 
준공업지역
 
12
일반주거지역
 
3
준주거지역
 
3
일반상업지역
 
2
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.1074074
Min length4

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 247
91.5%
준공업지역 12
 
4.4%
일반주거지역 3
 
1.1%
준주거지역 3
 
1.1%
일반상업지역 2
 
0.7%
일반공업지역 1
 
0.4%
상업지역 1
 
0.4%
근린상업지역 1
 
0.4%

Length

2024-05-11T15:33:17.326643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:17.490783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
91.5%
준공업지역 12
 
4.4%
일반주거지역 3
 
1.1%
준주거지역 3
 
1.1%
일반상업지역 2
 
0.7%
일반공업지역 1
 
0.4%
상업지역 1
 
0.4%
근린상업지역 1
 
0.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF124107199900000119991202<NA>3폐업3폐업20071128<NA><NA><NA>2060-2869<NA>152895서울특별시 구로구 오류동 **-*번지 가든빌라 *동 ***호서울특별시 구로구 경인로 **, *동 ***호 (오류동,가든빌라)<NA>킹 프로덕션2007-11-28 13:25:36I2018-08-31 23:59:59.0<NA>184986.529235443361.493165비디오물제작업유통관련업<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>
13160000CDFF124107200100000120010205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***번지 한신IT타워 ***,***호서울특별시 구로구 디지털로 *** (구로동)08389(주)드림한스2013-06-21 09:17:44I2018-08-31 23:59:59.0<NA>190594.904646442261.654499비디오물제작업<NA><NA><NA>전시영상제작 추가<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF124107200300000120031011<NA>1영업/정상13영업중<NA><NA><NA><NA>3782-8773<NA>152847서울특별시 구로구 구로동 ***-**번지 대륭포스트타워* ****호서울특별시 구로구 디지털로 ***, ****호 (구로동,대륭포스트타워*)08378(주)유비온2006-06-02 18:07:01I2018-08-31 23:59:59.0<NA>190845.231595442639.420821비디오물제작업유통관련업15기타교육용비디오물553.8512<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
33160000CDFF124107200300000320030529<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3282-9500<NA><NA>서울특별시 구로구 구로동 ***-**번지 이스페이스서울특별시 구로구 디지털로**길 **, *층 (구로동, 이스페이스)08381동우에이앤이(주)2012-04-19 15:02:50I2018-08-31 23:59:59.0<NA>190423.216683442403.568114비디오물제작업<NA>9<NA>게임물2150.6772근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
43160000CDFF124107200400000120041030<NA>1영업/정상13영업중<NA><NA><NA><NA>6220-3366<NA>152848서울특별시 구로구 구로동 ***-*번지 에이스하이엔드타워 ****호서울특별시 구로구 디지털로**길 *, ****호 (구로동,에이스하이엔드타워)08389(주)디앤아이엔터테인먼트2008-01-23 09:46:33I2018-08-31 23:59:59.0<NA>190504.778241442154.992807비디오물제작업유통관련업<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>
53160000CDFF124107200400000220040414<NA>3폐업3폐업20190123<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-*번지 코오롱빌란트 *차 ****호 ****호서울특별시 구로구 디지털로**길 **, ****호 (구로동, 코오롱빌란트 *차 )08390(주)폴리지미디어2019-02-23 11:13:06U2019-02-26 02:40:00.0<NA>190734.812272442305.23086비디오물제작업<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>
63160000CDFF124107200500000120050119<NA>1영업/정상13영업중<NA><NA><NA><NA>2616-7717<NA><NA>서울특별시 구로구 고척동 ***-*번지 서울가든아파트 *동 ****호서울특별시 구로구 중앙로*길 ** (고척동, 서울가든아파트)08224희 미디어2012-02-02 10:47:41I2018-08-31 23:59:59.0<NA>187601.409308444490.834046비디오물제작업<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>
73160000CDFF124107200500000220050601<NA>1영업/정상13영업중<NA><NA><NA><NA>2267-2830<NA><NA>서울특별시 구로구 구로동 ***번지 메이 플라워 ***호서울특별시 구로구 가마산로**길 *, ***호 (구로동, 메이플라워)08301서울홍보2012-02-02 11:15:35I2018-08-31 23:59:59.0<NA>190251.839399443843.122673비디오물제작업<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>
83160000CDFF124107200500000320050216<NA>3폐업3폐업20140210<NA><NA><NA>070-7706-1881<NA><NA>서울특별시 구로구 구로동 ***-*번지 코오롱디지털빌란트*차 ****호서울특별시 구로구 디지털로**길 **, 구로동 **층 ****호 (구로동, 코오롱디지털빌란트*차)152727(주)유비즈코리아2014-02-10 14:18:17I2018-08-31 23:59:59.0<NA>190734.812272442305.23086비디오물제작업<NA>14<NA>비디오물86.072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFF124107200500000420050816<NA>3폐업3폐업20111205<NA><NA><NA>890-3754<NA>152848서울특별시 구로구 구로동 ***-*번지 우림 이비지센터*차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,우림 이비지센터*차)<NA>컨스미르(주)2011-12-05 10:16:05I2018-08-31 23:59:59.0<NA>190741.158118442703.311771비디오물제작업유통관련업<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
2603160000CDFF12410720240000012024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4282-0972<NA><NA>서울특별시 구로구 구로동 ***-* 제이앤케이디지털타워서울특별시 구로구 디지털로**길 ***, 제이앤케이디지털타워 ***, ***호 (구로동)08390주식회사 미담기획2024-01-19 15:20:59I2023-11-30 22:01:00.0<NA>190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2613160000CDFF12410720240000022024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6941-0259<NA><NA>서울특별시 구로구 구로동 ***-* 제이앤케이디지털타워서울특별시 구로구 디지털로**길 ***, 제이앤케이디지털타워 ***호 (구로동)08390주식회사 리프이노베이션2024-01-23 17:21:56I2023-11-30 22:05:00.0<NA>190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2623160000CDFF12410720240000032024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-866-1129<NA><NA>서울특별시 구로구 구로동 *** 한화비즈메트로*차서울특별시 구로구 디지털로 ***, 한화비즈메트로*차 ***호 (구로동)08394주식회사 클라모스2024-02-16 18:43:00I2023-12-01 23:08:00.0<NA>190447.424985442071.44778<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2633160000CDFF12410720240000042024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 벽산디지털밸리Ⅲ서울특별시 구로구 디지털로 ***, 벽산디지털밸리Ⅲ ***호 (구로동)08381주식회사 플랜다이브2024-02-29 10:24:52U2023-12-03 00:02:00.0<NA>190528.450104442352.770365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2643160000CDFF12410720240000052024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8611-6244<NA><NA>서울특별시 구로구 구로동 ***-** 이앤씨벤처드림타워*차서울특별시 구로구 디지털로**길 **, 이앤씨벤처드림타워*차 ****호 (구로동)08376레트로봇 주식회사2024-02-29 14:32:03I2023-12-03 00:02:00.0<NA>190479.902194442751.41954<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2653160000CDFF12410720240000062024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 *** 코오롱싸이언스밸리*차서울특별시 구로구 디지털로**길 **, 코오롱싸이언스밸리*차 B***-**호 (구로동)08378스튜디오 빡2024-03-07 15:56:41I2023-12-03 00:09:00.0<NA>191020.26443442460.919022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2663160000CDFF12410720240000072024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 선경오피스텔서울특별시 구로구 공원로 *, 선경오피스텔 ****호 (구로동)08298프로덕션 모멘츠2024-03-28 13:14:26I2023-12-02 21:00:00.0<NA>190410.047738443953.502895<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2673160000CDFF12410720240000082023-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 ***-** 힐스테이트 신도림역 센트럴서울특별시 구로구 경인로 ***, 힐스테이트 신도림역 센트럴 ***호 (신도림동)08210제임스튜디오2024-04-02 13:02:38I2023-12-04 00:04:00.0<NA>189727.214613444999.461908<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2683160000CDFF12410720240000092024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-1718<NA><NA>서울특별시 구로구 구로동 *** 지하이시티서울특별시 구로구 디지털로 ***, 지하이시티 ****, ****호 (구로동)08382주식회사 어나더컴퍼니그룹2024-04-16 17:40:57I2023-12-03 23:08:00.0<NA>190402.032127442203.137447<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2693160000CDFF12410720240000102022-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-0615<NA><NA>서울특별시 구로구 구로동 ***-** 대륭포스트타워*차서울특별시 구로구 디지털로**길 **, 대륭포스트타워*차 ***호 (구로동)08377노크웍스2024-05-01 11:49:36I2023-12-05 00:03:00.0<NA>190609.413675442782.030555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>