Overview

Dataset statistics

Number of variables56
Number of observations122
Missing cells3503
Missing cells (%)51.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.0 KiB
Average record size in memory487.1 B

Variable types

Categorical16
Text9
DateTime4
Unsupported22
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17378/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (70.7%)Imbalance
지상층수 is highly imbalanced (71.8%)Imbalance
지하층수 is highly imbalanced (69.9%)Imbalance
통로너비 is highly imbalanced (59.1%)Imbalance
조명시설조도 is highly imbalanced (59.1%)Imbalance
노래방실수 is highly imbalanced (59.1%)Imbalance
청소년실수 is highly imbalanced (59.1%)Imbalance
총게임기수 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 122 (100.0%) missing valuesMissing
폐업일자 has 95 (77.9%) missing valuesMissing
휴업시작일자 has 122 (100.0%) missing valuesMissing
휴업종료일자 has 122 (100.0%) missing valuesMissing
재개업일자 has 122 (100.0%) missing valuesMissing
전화번호 has 80 (65.6%) missing valuesMissing
소재지면적 has 122 (100.0%) missing valuesMissing
소재지우편번호 has 106 (86.9%) missing valuesMissing
도로명주소 has 3 (2.5%) missing valuesMissing
도로명우편번호 has 20 (16.4%) missing valuesMissing
업태구분명 has 122 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.5%) missing valuesMissing
좌표정보(Y) has 3 (2.5%) missing valuesMissing
주변환경명 has 120 (98.4%) missing valuesMissing
제작취급품목내용 has 71 (58.2%) missing valuesMissing
시설면적 has 79 (64.8%) missing valuesMissing
건물용도명 has 119 (97.5%) missing valuesMissing
비상계단여부 has 122 (100.0%) missing valuesMissing
비상구여부 has 122 (100.0%) missing valuesMissing
자동환기여부 has 122 (100.0%) missing valuesMissing
청소년실여부 has 122 (100.0%) missing valuesMissing
특수조명여부 has 122 (100.0%) missing valuesMissing
방음시설여부 has 122 (100.0%) missing valuesMissing
비디오재생기명 has 122 (100.0%) missing valuesMissing
조명시설유무 has 122 (100.0%) missing valuesMissing
음향시설여부 has 122 (100.0%) missing valuesMissing
편의시설여부 has 122 (100.0%) missing valuesMissing
소방시설여부 has 122 (100.0%) missing valuesMissing
기존게임업외업종명 has 122 (100.0%) missing valuesMissing
제공게임물명 has 122 (100.0%) missing valuesMissing
공연장형태구분명 has 122 (100.0%) missing valuesMissing
품목명 has 122 (100.0%) missing valuesMissing
최초등록시점 has 122 (100.0%) missing valuesMissing
지역구분명 has 120 (98.4%) 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

Reproduction

Analysis started2024-05-11 02:39:09.197571
Analysis finished2024-05-11 02:39:11.271927
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3110000
122 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 122
100.0%

Length

2024-05-11T02:39:11.467605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:11.760277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 122
100.0%

관리번호
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T02:39:12.129442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2440
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

Unique122 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071994000001
2nd rowCDFF1241071999000001
3rd rowCDFF1241072001000001
4th rowCDFF1241072001000002
5th rowCDFF1241072001000003
ValueCountFrequency (%)
cdff1241071994000001 1
 
0.8%
cdff1241072022000017 1
 
0.8%
cdff1241072022000015 1
 
0.8%
cdff1241072022000014 1
 
0.8%
cdff1241072022000013 1
 
0.8%
cdff1241072022000012 1
 
0.8%
cdff1241072022000011 1
 
0.8%
cdff1241072022000010 1
 
0.8%
cdff1241072022000009 1
 
0.8%
cdff1241072022000008 1
 
0.8%
Other values (112) 112
91.8%
2024-05-11T02:39:13.075747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 856
35.1%
2 363
14.9%
1 348
14.3%
F 244
 
10.0%
4 145
 
5.9%
7 134
 
5.5%
C 122
 
5.0%
D 122
 
5.0%
3 39
 
1.6%
9 20
 
0.8%
Other values (3) 47
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1952
80.0%
Uppercase Letter 488
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 856
43.9%
2 363
18.6%
1 348
17.8%
4 145
 
7.4%
7 134
 
6.9%
3 39
 
2.0%
9 20
 
1.0%
5 19
 
1.0%
6 16
 
0.8%
8 12
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 244
50.0%
C 122
25.0%
D 122
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1952
80.0%
Latin 488
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 856
43.9%
2 363
18.6%
1 348
17.8%
4 145
 
7.4%
7 134
 
6.9%
3 39
 
2.0%
9 20
 
1.0%
5 19
 
1.0%
6 16
 
0.8%
8 12
 
0.6%
Latin
ValueCountFrequency (%)
F 244
50.0%
C 122
25.0%
D 122
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 856
35.1%
2 363
14.9%
1 348
14.3%
F 244
 
10.0%
4 145
 
5.9%
7 134
 
5.5%
C 122
 
5.0%
D 122
 
5.0%
3 39
 
1.6%
9 20
 
0.8%
Other values (3) 47
 
1.9%

인허가일자
Date

Distinct119
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1994-05-20 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T02:39:13.499934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:39:13.936464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
95 
5
14 
3
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 95
77.9%
5 14
 
11.5%
3 13
 
10.7%

Length

2024-05-11T02:39:14.373670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:14.744915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 95
77.9%
5 14
 
11.5%
3 13
 
10.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
95 
제외/삭제/전출
14 
폐업
13 

Length

Max length8
Median length5
Mean length5.0245902
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 95
77.9%
제외/삭제/전출 14
 
11.5%
폐업 13
 
10.7%

Length

2024-05-11T02:39:15.157133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:15.526860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 95
77.9%
제외/삭제/전출 14
 
11.5%
폐업 13
 
10.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
95 
15
14 
3
13 

Length

Max length2
Median length2
Mean length1.8934426
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 95
77.9%
15 14
 
11.5%
3 13
 
10.7%

Length

2024-05-11T02:39:15.937321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:16.323471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 95
77.9%
15 14
 
11.5%
3 13
 
10.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
95 
전출
14 
폐업
13 

Length

Max length3
Median length3
Mean length2.7786885
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 95
77.9%
전출 14
 
11.5%
폐업 13
 
10.7%

Length

2024-05-11T02:39:16.709567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:17.001271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 95
77.9%
전출 14
 
11.5%
폐업 13
 
10.7%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)96.3%
Missing95
Missing (%)77.9%
Memory size1.1 KiB
Minimum2007-03-29 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T02:39:17.407797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:39:17.781759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct33
Distinct (%)78.6%
Missing80
Missing (%)65.6%
Memory size1.1 KiB
2024-05-11T02:39:18.319714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length7.7857143
Min length1

Characters and Unicode

Total characters327
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

Unique32 ?
Unique (%)76.2%

Sample

1st row381-0522
2nd row382-1545
3rd row358-4637
4th row383-0383
5th row356-1818
ValueCountFrequency (%)
10
23.8%
02-308-4061 1
 
2.4%
381-0522 1
 
2.4%
02-302-1972 1
 
2.4%
02-2632-5800 1
 
2.4%
070-4685-0331 1
 
2.4%
848-3438 1
 
2.4%
02-6403-7189 1
 
2.4%
02-304-4094 1
 
2.4%
023522585 1
 
2.4%
Other values (23) 23
54.8%
2024-05-11T02:39:19.626038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 48
14.7%
0 47
14.4%
- 40
12.2%
2 33
10.1%
8 28
8.6%
4 26
8.0%
5 25
7.6%
6 21
6.4%
7 21
6.4%
1 18
 
5.5%
Other values (2) 20
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 276
84.4%
Dash Punctuation 40
 
12.2%
Other Punctuation 11
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
17.4%
0 47
17.0%
2 33
12.0%
8 28
10.1%
4 26
9.4%
5 25
9.1%
6 21
7.6%
7 21
7.6%
1 18
 
6.5%
9 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Punctuation
ValueCountFrequency (%)
' 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 48
14.7%
0 47
14.4%
- 40
12.2%
2 33
10.1%
8 28
8.6%
4 26
8.0%
5 25
7.6%
6 21
6.4%
7 21
6.4%
1 18
 
5.5%
Other values (2) 20
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 48
14.7%
0 47
14.4%
- 40
12.2%
2 33
10.1%
8 28
8.6%
4 26
8.0%
5 25
7.6%
6 21
6.4%
7 21
6.4%
1 18
 
5.5%
Other values (2) 20
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing106
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean122819.94
Minimum122200
Maximum122951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T02:39:20.362899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122200
5-th percentile122613.25
Q1122834.5
median122851
Q3122888.75
95-th percentile122918.75
Maximum122951
Range751
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation171.41119
Coefficient of variation (CV)0.00139563
Kurtosis13.394779
Mean122819.94
Median Absolute Deviation (MAD)32.5
Skewness-3.5390481
Sum1965119
Variance29381.796
MonotonicityNot monotonic
2024-05-11T02:39:20.757297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
122842 2
 
1.6%
122200 1
 
0.8%
122895 1
 
0.8%
122891 1
 
0.8%
122837 1
 
0.8%
122884 1
 
0.8%
122827 1
 
0.8%
122951 1
 
0.8%
122840 1
 
0.8%
122820 1
 
0.8%
Other values (5) 5
 
4.1%
(Missing) 106
86.9%
ValueCountFrequency (%)
122200 1
0.8%
122751 1
0.8%
122820 1
0.8%
122827 1
0.8%
122837 1
0.8%
122840 1
0.8%
122842 2
1.6%
122860 1
0.8%
122883 1
0.8%
122884 1
0.8%
ValueCountFrequency (%)
122951 1
0.8%
122908 1
0.8%
122895 1
0.8%
122891 1
0.8%
122888 1
0.8%
122884 1
0.8%
122883 1
0.8%
122860 1
0.8%
122842 2
1.6%
122840 1
0.8%

지번주소
Text

Distinct109
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T02:39:21.434379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length26.508197
Min length17

Characters and Unicode

Total characters3234
Distinct characters140
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)80.3%

Sample

1st row서울특별시 은평구 진관동 ***-*번지
2nd row서울특별시 은평구 역촌동 **-*번지
3rd row서울특별시 은평구 대조동 ***-**번지
4th row서울특별시 은평구 역촌동 *-**번지 연서빌딩***
5th row서울특별시 은평구 갈현동 ***-**번지
ValueCountFrequency (%)
서울특별시 122
19.2%
은평구 122
19.2%
75
11.8%
번지 45
 
7.1%
호 44
 
6.9%
녹번동 23
 
3.6%
동 19
 
3.0%
응암동 19
 
3.0%
신사동 14
 
2.2%
역촌동 13
 
2.0%
Other values (71) 141
22.1%
2024-05-11T02:39:23.159909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 668
20.7%
561
17.3%
동 148
 
4.6%
서 135
 
4.2%
은 132
 
4.1%
평 132
 
4.1%
울 129
 
4.0%
구 128
 
4.0%
시 123
 
3.8%
특 122
 
3.8%
Other values (130) 956
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1869
57.8%
Other Punctuation 670
 
20.7%
Space Separator 561
 
17.3%
Dash Punctuation 97
 
3.0%
Decimal Number 20
 
0.6%
Uppercase Letter 17
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 148
 
7.9%
서 135
 
7.2%
은 132
 
7.1%
평 132
 
7.1%
울 129
 
6.9%
구 128
 
6.8%
시 123
 
6.6%
특 122
 
6.5%
별 122
 
6.5%
번 69
 
3.7%
Other values (113) 629
33.7%
Decimal Number
ValueCountFrequency (%)
1 5
25.0%
3 5
25.0%
8 3
15.0%
2 3
15.0%
0 2
 
10.0%
9 1
 
5.0%
4 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
58.8%
D 2
 
11.8%
W 2
 
11.8%
A 1
 
5.9%
C 1
 
5.9%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 668
99.7%
, 2
 
0.3%
Space Separator
ValueCountFrequency (%)
561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1869
57.8%
Common 1348
41.7%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 148
 
7.9%
서 135
 
7.2%
은 132
 
7.1%
평 132
 
7.1%
울 129
 
6.9%
구 128
 
6.8%
시 123
 
6.6%
특 122
 
6.5%
별 122
 
6.5%
번 69
 
3.7%
Other values (113) 629
33.7%
Common
ValueCountFrequency (%)
* 668
49.6%
561
41.6%
- 97
 
7.2%
1 5
 
0.4%
3 5
 
0.4%
8 3
 
0.2%
2 3
 
0.2%
0 2
 
0.1%
, 2
 
0.1%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
B 10
58.8%
D 2
 
11.8%
W 2
 
11.8%
A 1
 
5.9%
C 1
 
5.9%
M 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1869
57.8%
ASCII 1365
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 668
48.9%
561
41.1%
- 97
 
7.1%
B 10
 
0.7%
1 5
 
0.4%
3 5
 
0.4%
8 3
 
0.2%
2 3
 
0.2%
0 2
 
0.1%
D 2
 
0.1%
Other values (7) 9
 
0.7%
Hangul
ValueCountFrequency (%)
동 148
 
7.9%
서 135
 
7.2%
은 132
 
7.1%
평 132
 
7.1%
울 129
 
6.9%
구 128
 
6.8%
시 123
 
6.6%
특 122
 
6.5%
별 122
 
6.5%
번 69
 
3.7%
Other values (113) 629
33.7%

도로명주소
Text

MISSING 

Distinct114
Distinct (%)95.8%
Missing3
Missing (%)2.5%
Memory size1.1 KiB
2024-05-11T02:39:23.880701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length44
Mean length34.983193
Min length22

Characters and Unicode

Total characters4163
Distinct characters173
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

Unique109 ?
Unique (%)91.6%

Sample

1st row서울특별시 은평구 북한산로 ***-* (진관동)
2nd row서울특별시 은평구 연서로 ** (역촌동)
3rd row서울특별시 은평구 연서로**길 * (대조동)
4th row서울특별시 은평구 연서로 *** (역촌동,연서빌딩***)
5th row서울특별시 은평구 연서로**길 * (갈현동)
ValueCountFrequency (%)
서울특별시 119
14.9%
은평구 119
14.9%
117
14.7%
호 56
 
7.0%
층 34
 
4.3%
동 24
 
3.0%
녹번동 22
 
2.8%
통일로 18
 
2.3%
응암동 16
 
2.0%
신사동 12
 
1.5%
Other values (131) 260
32.6%
2024-05-11T02:39:25.357149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 705
16.9%
691
16.6%
동 154
 
3.7%
서 151
 
3.6%
은 144
 
3.5%
평 143
 
3.4%
, 133
 
3.2%
울 126
 
3.0%
구 125
 
3.0%
시 120
 
2.9%
Other values (163) 1671
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2312
55.5%
Other Punctuation 838
 
20.1%
Space Separator 691
 
16.6%
Open Punctuation 119
 
2.9%
Close Punctuation 119
 
2.9%
Dash Punctuation 45
 
1.1%
Decimal Number 21
 
0.5%
Uppercase Letter 18
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 154
 
6.7%
서 151
 
6.5%
은 144
 
6.2%
평 143
 
6.2%
울 126
 
5.4%
구 125
 
5.4%
시 120
 
5.2%
특 119
 
5.1%
별 119
 
5.1%
로 114
 
4.9%
Other values (143) 997
43.1%
Decimal Number
ValueCountFrequency (%)
1 7
33.3%
0 5
23.8%
2 2
 
9.5%
3 2
 
9.5%
7 2
 
9.5%
6 1
 
4.8%
9 1
 
4.8%
4 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
C 2
 
11.1%
D 2
 
11.1%
W 2
 
11.1%
A 1
 
5.6%
M 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 705
84.1%
, 133
 
15.9%
Space Separator
ValueCountFrequency (%)
691
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2312
55.5%
Common 1833
44.0%
Latin 18
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 154
 
6.7%
서 151
 
6.5%
은 144
 
6.2%
평 143
 
6.2%
울 126
 
5.4%
구 125
 
5.4%
시 120
 
5.2%
특 119
 
5.1%
별 119
 
5.1%
로 114
 
4.9%
Other values (143) 997
43.1%
Common
ValueCountFrequency (%)
* 705
38.5%
691
37.7%
, 133
 
7.3%
( 119
 
6.5%
) 119
 
6.5%
- 45
 
2.5%
1 7
 
0.4%
0 5
 
0.3%
2 2
 
0.1%
3 2
 
0.1%
Other values (4) 5
 
0.3%
Latin
ValueCountFrequency (%)
B 10
55.6%
C 2
 
11.1%
D 2
 
11.1%
W 2
 
11.1%
A 1
 
5.6%
M 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2312
55.5%
ASCII 1851
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 705
38.1%
691
37.3%
, 133
 
7.2%
( 119
 
6.4%
) 119
 
6.4%
- 45
 
2.4%
B 10
 
0.5%
1 7
 
0.4%
0 5
 
0.3%
2 2
 
0.1%
Other values (10) 15
 
0.8%
Hangul
ValueCountFrequency (%)
동 154
 
6.7%
서 151
 
6.5%
은 144
 
6.2%
평 143
 
6.2%
울 126
 
5.4%
구 125
 
5.4%
시 120
 
5.2%
특 119
 
5.1%
별 119
 
5.1%
로 114
 
4.9%
Other values (143) 997
43.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)66.7%
Missing20
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean4575.1667
Minimum3301
Maximum122829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T02:39:25.932645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3308
Q13371
median3402.5
Q33453
95-th percentile3494
Maximum122829
Range119528
Interquartile range (IQR)82

Descriptive statistics

Standard deviation11824.943
Coefficient of variation (CV)2.5845928
Kurtosis101.99506
Mean4575.1667
Median Absolute Deviation (MAD)39.5
Skewness10.099142
Sum466667
Variance1.3982927 × 108
MonotonicityNot monotonic
2024-05-11T02:39:26.508312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3371 9
 
7.4%
3382 5
 
4.1%
3308 5
 
4.1%
3375 3
 
2.5%
3396 3
 
2.5%
3302 3
 
2.5%
3479 2
 
1.6%
3352 2
 
1.6%
3397 2
 
1.6%
3494 2
 
1.6%
Other values (58) 66
54.1%
(Missing) 20
 
16.4%
ValueCountFrequency (%)
3301 1
 
0.8%
3302 3
2.5%
3303 1
 
0.8%
3308 5
4.1%
3313 1
 
0.8%
3315 1
 
0.8%
3318 1
 
0.8%
3323 1
 
0.8%
3333 1
 
0.8%
3336 1
 
0.8%
ValueCountFrequency (%)
122829 1
0.8%
3505 1
0.8%
3502 1
0.8%
3500 1
0.8%
3497 1
0.8%
3494 2
1.6%
3493 1
0.8%
3487 1
0.8%
3484 1
0.8%
3482 1
0.8%

사업장명
Text

Distinct120
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T02:39:27.111110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length8.4016393
Min length2

Characters and Unicode

Total characters1025
Distinct characters273
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

Unique118 ?
Unique (%)96.7%

Sample

1st row(주)소프트액션
2nd row문화미디콤
3rd row윤미디어텍
4th row코스마
5th row(주)보국문화
ValueCountFrequency (%)
주식회사 22
 
12.6%
스튜디오 7
 
4.0%
라이프피디아 2
 
1.1%
대양미디어 2
 
1.1%
34 2
 
1.1%
협동조합 2
 
1.1%
the 2
 
1.1%
소사 1
 
0.6%
스튜디오고유 1
 
0.6%
미닝오브 1
 
0.6%
Other values (133) 133
76.0%
2024-05-11T02:39:28.316321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
5.2%
주 39
 
3.8%
디 37
 
3.6%
) 30
 
2.9%
( 30
 
2.9%
스 30
 
2.9%
사 26
 
2.5%
이 24
 
2.3%
회 23
 
2.2%
식 22
 
2.1%
Other values (263) 711
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
74.3%
Uppercase Letter 67
 
6.5%
Lowercase Letter 66
 
6.4%
Space Separator 53
 
5.2%
Close Punctuation 30
 
2.9%
Open Punctuation 30
 
2.9%
Decimal Number 14
 
1.4%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
5.1%
디 37
 
4.9%
스 30
 
3.9%
사 26
 
3.4%
이 24
 
3.1%
회 23
 
3.0%
식 22
 
2.9%
어 16
 
2.1%
오 16
 
2.1%
미 15
 
2.0%
Other values (208) 514
67.5%
Uppercase Letter
ValueCountFrequency (%)
I 6
 
9.0%
S 6
 
9.0%
T 5
 
7.5%
E 5
 
7.5%
L 5
 
7.5%
A 4
 
6.0%
O 4
 
6.0%
N 4
 
6.0%
D 4
 
6.0%
W 3
 
4.5%
Other values (12) 21
31.3%
Lowercase Letter
ValueCountFrequency (%)
o 8
12.1%
m 8
12.1%
i 5
 
7.6%
l 5
 
7.6%
c 4
 
6.1%
e 4
 
6.1%
a 4
 
6.1%
y 4
 
6.1%
n 3
 
4.5%
u 3
 
4.5%
Other values (10) 18
27.3%
Decimal Number
ValueCountFrequency (%)
2 3
21.4%
3 3
21.4%
4 2
14.3%
8 2
14.3%
5 2
14.3%
1 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
74.3%
Latin 133
 
13.0%
Common 130
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
5.1%
디 37
 
4.9%
스 30
 
3.9%
사 26
 
3.4%
이 24
 
3.1%
회 23
 
3.0%
식 22
 
2.9%
어 16
 
2.1%
오 16
 
2.1%
미 15
 
2.0%
Other values (208) 514
67.5%
Latin
ValueCountFrequency (%)
o 8
 
6.0%
m 8
 
6.0%
I 6
 
4.5%
S 6
 
4.5%
i 5
 
3.8%
l 5
 
3.8%
T 5
 
3.8%
E 5
 
3.8%
L 5
 
3.8%
c 4
 
3.0%
Other values (32) 76
57.1%
Common
ValueCountFrequency (%)
53
40.8%
) 30
23.1%
( 30
23.1%
2 3
 
2.3%
3 3
 
2.3%
4 2
 
1.5%
8 2
 
1.5%
5 2
 
1.5%
& 1
 
0.8%
. 1
 
0.8%
Other values (3) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
74.3%
ASCII 263
 
25.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
20.2%
) 30
 
11.4%
( 30
 
11.4%
o 8
 
3.0%
m 8
 
3.0%
I 6
 
2.3%
S 6
 
2.3%
i 5
 
1.9%
l 5
 
1.9%
T 5
 
1.9%
Other values (45) 107
40.7%
Hangul
ValueCountFrequency (%)
주 39
 
5.1%
디 37
 
4.9%
스 30
 
3.9%
사 26
 
3.4%
이 24
 
3.1%
회 23
 
3.0%
식 22
 
2.9%
어 16
 
2.1%
오 16
 
2.1%
미 15
 
2.0%
Other values (208) 514
67.5%

최종수정일자
Date

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2006-02-09 13:34:21
Maximum2024-04-30 15:31:18
2024-05-11T02:39:28.839914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:39:29.395097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
86 
U
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 86
70.5%
U 36
29.5%

Length

2024-05-11T02:39:29.815994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:30.166989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 86
70.5%
u 36
29.5%

데이터갱신일자
Date

Distinct87
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T02:39:30.569636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:39:30.902258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)88.2%
Missing3
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean192915.91
Minimum190097.34
Maximum194571.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T02:39:31.421652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190097.34
5-th percentile191487.82
Q1192159.81
median192933.68
Q3193630.61
95-th percentile194171.86
Maximum194571.13
Range4473.7835
Interquartile range (IQR)1470.8045

Descriptive statistics

Standard deviation934.0404
Coefficient of variation (CV)0.0048416971
Kurtosis-0.56810069
Mean192915.91
Median Absolute Deviation (MAD)762.00555
Skewness-0.29615345
Sum22956993
Variance872431.47
MonotonicityNot monotonic
2024-05-11T02:39:31.892738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194029.235749604 6
 
4.9%
193630.612534041 2
 
1.6%
191628.854937718 2
 
1.6%
191462.335536295 2
 
1.6%
194170.568271966 2
 
1.6%
194197.238221515 2
 
1.6%
193264.606065663 2
 
1.6%
194162.715258473 2
 
1.6%
193581.946063598 2
 
1.6%
193776.413492275 2
 
1.6%
Other values (95) 95
77.9%
(Missing) 3
 
2.5%
ValueCountFrequency (%)
190097.344843815 1
0.8%
190957.071604479 1
0.8%
191188.866535719 1
0.8%
191397.640569022 1
0.8%
191462.335536295 2
1.6%
191490.650128924 1
0.8%
191555.444915091 1
0.8%
191558.479726815 1
0.8%
191596.208163061 1
0.8%
191603.475716608 1
0.8%
ValueCountFrequency (%)
194571.128358078 1
0.8%
194560.375145005 1
0.8%
194531.844649258 1
0.8%
194197.238221515 2
1.6%
194183.438617956 1
0.8%
194170.568271966 2
1.6%
194162.715258473 2
1.6%
194160.426069634 1
0.8%
194157.526710123 1
0.8%
194151.113555039 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)88.2%
Missing3
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean456038.72
Minimum453154.97
Maximum461115.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T02:39:32.309316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453154.97
5-th percentile453771.49
Q1454932.62
median455832.77
Q3456760.57
95-th percentile459697.96
Maximum461115.88
Range7960.9073
Interquartile range (IQR)1827.9499

Descriptive statistics

Standard deviation1673.0247
Coefficient of variation (CV)0.0036686022
Kurtosis0.67141617
Mean456038.72
Median Absolute Deviation (MAD)913.18418
Skewness0.80365814
Sum54268608
Variance2799011.6
MonotonicityNot monotonic
2024-05-11T02:39:32.810820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456185.615536089 6
 
4.9%
456543.824996823 2
 
1.6%
455647.599350848 2
 
1.6%
455341.61526191 2
 
1.6%
456251.815350627 2
 
1.6%
455432.835557713 2
 
1.6%
454752.48391234 2
 
1.6%
459331.362489121 2
 
1.6%
456225.727685799 2
 
1.6%
456347.131639562 2
 
1.6%
Other values (95) 95
77.9%
(Missing) 3
 
2.5%
ValueCountFrequency (%)
453154.974108135 1
0.8%
453162.844280292 1
0.8%
453287.9557073 1
0.8%
453525.608456744 1
0.8%
453528.213137992 1
0.8%
453704.302207017 1
0.8%
453778.950240488 1
0.8%
453804.920110399 1
0.8%
453818.803922035 1
0.8%
453867.310295044 1
0.8%
ValueCountFrequency (%)
461115.881455643 1
0.8%
460316.757008927 1
0.8%
460276.405968655 1
0.8%
460000.790922267 1
0.8%
459996.743744693 1
0.8%
459986.856034813 1
0.8%
459665.856169744 1
0.8%
459331.362489121 2
1.6%
458974.94683568 1
0.8%
458581.989186361 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
비디오물제작업
65 
<NA>
57 

Length

Max length7
Median length7
Mean length5.5983607
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 65
53.3%
<NA> 57
46.7%

Length

2024-05-11T02:39:33.247376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:33.581534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 65
53.3%
na 57
46.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
유통관련업
16 

Length

Max length5
Median length4
Mean length4.1311475
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
86.9%
유통관련업 16
 
13.1%

Length

2024-05-11T02:39:33.965912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:34.341465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
86.9%
유통관련업 16
 
13.1%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
0
11 
1
 
2
5
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.6147541
Min length1

Unique

Unique3 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row5
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 106
86.9%
0 11
 
9.0%
1 2
 
1.6%
5 1
 
0.8%
15 1
 
0.8%
2 1
 
0.8%

Length

2024-05-11T02:39:34.756309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:35.428364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
86.9%
0 11
 
9.0%
1 2
 
1.6%
5 1
 
0.8%
15 1
 
0.8%
2 1
 
0.8%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing120
Missing (%)98.4%
Memory size1.1 KiB
2024-05-11T02:39:35.768032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
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 (%)100.0%

Sample

1st row아파트지역
2nd row주택가주변
ValueCountFrequency (%)
아파트지역 1
50.0%
주택가주변 1
50.0%
2024-05-11T02:39:36.706563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
20.0%
아 1
10.0%
파 1
10.0%
트 1
10.0%
지 1
10.0%
역 1
10.0%
택 1
10.0%
가 1
10.0%
변 1
10.0%

제작취급품목내용
Text

MISSING 

Distinct42
Distinct (%)82.4%
Missing71
Missing (%)58.2%
Memory size1.1 KiB
2024-05-11T02:39:37.232255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length24
Mean length11.058824
Min length2

Characters and Unicode

Total characters564
Distinct characters102
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)80.4%

Sample

1st row비디오
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row홍보용DVD
ValueCountFrequency (%)
비디오물 16
 
12.3%
영상 10
 
7.7%
영화 10
 
7.7%
등 8
 
6.2%
광고 6
 
4.6%
및 5
 
3.8%
제작 5
 
3.8%
홍보영상 5
 
3.8%
영상물 3
 
2.3%
뮤직비디오 2
 
1.5%
Other values (55) 60
46.2%
2024-05-11T02:39:38.362321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
14.0%
영 50
 
8.9%
상 35
 
6.2%
, 34
 
6.0%
물 25
 
4.4%
비 23
 
4.1%
디 23
 
4.1%
오 22
 
3.9%
화 15
 
2.7%
제 13
 
2.3%
Other values (92) 245
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
75.5%
Space Separator 79
 
14.0%
Other Punctuation 35
 
6.2%
Uppercase Letter 19
 
3.4%
Decimal Number 3
 
0.5%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 50
 
11.7%
상 35
 
8.2%
물 25
 
5.9%
비 23
 
5.4%
디 23
 
5.4%
오 22
 
5.2%
화 15
 
3.5%
제 13
 
3.1%
보 13
 
3.1%
홍 13
 
3.1%
Other values (78) 194
45.5%
Uppercase Letter
ValueCountFrequency (%)
V 5
26.3%
D 4
21.1%
C 4
21.1%
F 2
 
10.5%
T 2
 
10.5%
R 1
 
5.3%
U 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 34
97.1%
. 1
 
2.9%
Space Separator
ValueCountFrequency (%)
79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 426
75.5%
Common 119
 
21.1%
Latin 19
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 50
 
11.7%
상 35
 
8.2%
물 25
 
5.9%
비 23
 
5.4%
디 23
 
5.4%
오 22
 
5.2%
화 15
 
3.5%
제 13
 
3.1%
보 13
 
3.1%
홍 13
 
3.1%
Other values (78) 194
45.5%
Common
ValueCountFrequency (%)
79
66.4%
, 34
28.6%
- 2
 
1.7%
3 1
 
0.8%
6 1
 
0.8%
0 1
 
0.8%
. 1
 
0.8%
Latin
ValueCountFrequency (%)
V 5
26.3%
D 4
21.1%
C 4
21.1%
F 2
 
10.5%
T 2
 
10.5%
R 1
 
5.3%
U 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 426
75.5%
ASCII 138
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
57.2%
, 34
24.6%
V 5
 
3.6%
D 4
 
2.9%
C 4
 
2.9%
F 2
 
1.4%
T 2
 
1.4%
- 2
 
1.4%
3 1
 
0.7%
6 1
 
0.7%
Other values (4) 4
 
2.9%
Hangul
ValueCountFrequency (%)
영 50
 
11.7%
상 35
 
8.2%
물 25
 
5.9%
비 23
 
5.4%
디 23
 
5.4%
오 22
 
5.2%
화 15
 
3.5%
제 13
 
3.1%
보 13
 
3.1%
홍 13
 
3.1%
Other values (78) 194
45.5%

시설면적
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)100.0%
Missing79
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean79.054651
Minimum10
Maximum515.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T02:39:39.019274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20.25
Q134.455
median55.67
Q391.785
95-th percentile163.161
Maximum515.73
Range505.73
Interquartile range (IQR)57.33

Descriptive statistics

Standard deviation82.659682
Coefficient of variation (CV)1.0456018
Kurtosis18.771702
Mean79.054651
Median Absolute Deviation (MAD)27.17
Skewness3.8560999
Sum3399.35
Variance6832.6231
MonotonicityNot monotonic
2024-05-11T02:39:39.615978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
101.94 1
 
0.8%
24.3 1
 
0.8%
30.69 1
 
0.8%
62.18 1
 
0.8%
24.76 1
 
0.8%
33.49 1
 
0.8%
132.0 1
 
0.8%
165.0 1
 
0.8%
88.38 1
 
0.8%
26.0 1
 
0.8%
Other values (33) 33
27.0%
(Missing) 79
64.8%
ValueCountFrequency (%)
10.0 1
0.8%
16.73 1
0.8%
19.8 1
0.8%
24.3 1
0.8%
24.76 1
0.8%
26.0 1
0.8%
27.44 1
0.8%
30.69 1
0.8%
31.58 1
0.8%
33.0 1
0.8%
ValueCountFrequency (%)
515.73 1
0.8%
247.56 1
0.8%
165.0 1
0.8%
146.61 1
0.8%
143.5 1
0.8%
132.0 1
0.8%
111.2 1
0.8%
104.0 1
0.8%
101.94 1
0.8%
100.0 1
0.8%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
 
10
1
 
2
4
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.6393443
Min length1

Unique

Unique3 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 107
87.7%
0 10
 
8.2%
1 2
 
1.6%
4 1
 
0.8%
15 1
 
0.8%
2 1
 
0.8%

Length

2024-05-11T02:39:40.232280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:40.793365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
87.7%
0 10
 
8.2%
1 2
 
1.6%
4 1
 
0.8%
15 1
 
0.8%
2 1
 
0.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
111 
0
 
10
1
 
1

Length

Max length4
Median length4
Mean length3.7295082
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 111
91.0%
0 10
 
8.2%
1 1
 
0.8%

Length

2024-05-11T02:39:41.390714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:41.985646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
91.0%
0 10
 
8.2%
1 1
 
0.8%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing119
Missing (%)97.5%
Memory size1.1 KiB
2024-05-11T02:39:42.268917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6666667
Min length3

Characters and Unicode

Total characters11
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row단독주택
2nd row아파트
3rd row단독주택
ValueCountFrequency (%)
단독주택 2
66.7%
아파트 1
33.3%
2024-05-11T02:39:43.285524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 2
18.2%
독 2
18.2%
주 2
18.2%
택 2
18.2%
아 1
9.1%
파 1
9.1%
트 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 2
18.2%
독 2
18.2%
주 2
18.2%
택 2
18.2%
아 1
9.1%
파 1
9.1%
트 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 2
18.2%
독 2
18.2%
주 2
18.2%
택 2
18.2%
아 1
9.1%
파 1
9.1%
트 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 2
18.2%
독 2
18.2%
주 2
18.2%
택 2
18.2%
아 1
9.1%
파 1
9.1%
트 1
9.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
 
10

Length

Max length4
Median length4
Mean length3.7540984
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> 112
91.8%
0 10
 
8.2%

Length

2024-05-11T02:39:43.943263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:44.417339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
91.8%
0 10
 
8.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
 
10

Length

Max length4
Median length4
Mean length3.7540984
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> 112
91.8%
0 10
 
8.2%

Length

2024-05-11T02:39:44.875695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:45.389358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
91.8%
0 10
 
8.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
 
10

Length

Max length4
Median length4
Mean length3.7540984
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> 112
91.8%
0 10
 
8.2%

Length

2024-05-11T02:39:45.770565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:46.159768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
91.8%
0 10
 
8.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
 
10

Length

Max length4
Median length4
Mean length3.7540984
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> 112
91.8%
0 10
 
8.2%

Length

2024-05-11T02:39:46.609694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:46.995695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
91.8%
0 10
 
8.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
 
10

Length

Max length4
Median length4
Mean length3.7540984
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> 112
91.8%
0 10
 
8.2%

Length

2024-05-11T02:39:47.328977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:47.629594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
91.8%
0 10
 
8.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing120
Missing (%)98.4%
Memory size1.1 KiB
2024-05-11T02:39:47.941212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row주거지역
2nd row일반주거지역
ValueCountFrequency (%)
주거지역 1
50.0%
일반주거지역 1
50.0%
2024-05-11T02:39:48.709880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
20.0%
거 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
20.0%
거 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
20.0%
거 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
20.0%
거 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF124107199400000119940520<NA>1영업/정상13영업중<NA><NA><NA><NA>381-0522<NA>122200서울특별시 은평구 진관동 ***-*번지서울특별시 은평구 북한산로 ***-* (진관동)<NA>(주)소프트액션2007-08-13 10:47:12I2018-08-31 23:59:59.0<NA>194531.844649461115.881456비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFF124107199900000119990814<NA>3폐업3폐업20160105<NA><NA><NA>382-1545<NA><NA>서울특별시 은평구 역촌동 **-*번지서울특별시 은평구 연서로 ** (역촌동)3407문화미디콤2016-01-05 17:27:24I2018-08-31 23:59:59.0<NA>192531.659667455496.016264비디오물제작업<NA><NA><NA>비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFF124107200100000120010130<NA>1영업/정상13영업중<NA><NA><NA><NA>358-4637<NA>122842서울특별시 은평구 대조동 ***-**번지서울특별시 은평구 연서로**길 * (대조동)<NA>윤미디어텍2006-03-14 13:46:13I2018-08-31 23:59:59.0<NA>192891.043291457215.299166비디오물제작업유통관련업5<NA><NA><NA>41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFF124107200100000220010428<NA>3폐업3폐업20080111<NA><NA><NA>383-0383<NA>122895서울특별시 은평구 역촌동 *-**번지 연서빌딩***서울특별시 은평구 연서로 *** (역촌동,연서빌딩***)<NA>코스마2008-01-11 11:53:18I2018-08-31 23:59:59.0<NA>192511.619298456251.501912비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFF124107200100000320010510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-**번지서울특별시 은평구 연서로**길 * (갈현동)3333(주)보국문화2019-11-04 08:43:09U2019-11-06 02:40:00.0<NA>192728.339819457152.507123비디오물제작업<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>
53110000CDFF124107200100000520010827<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>122891서울특별시 은평구 신사동 ***-**번지서울특별시 은평구 증산로**가길 * (신사동)<NA>종합유통2006-03-14 13:57:14I2018-08-31 23:59:59.0<NA>192145.081854454255.571686비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFF124107200100000620010914<NA>1영업/정상13영업중<NA><NA><NA><NA>356-1818<NA>122837서울특별시 은평구 대조동 **-**번지서울특별시 은평구 통일로 *** (대조동)<NA>학기획2006-03-14 13:59:38I2018-08-31 23:59:59.0<NA>193806.773352456327.868925비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFF124107200100000720011026<NA>3폐업3폐업20070329<NA><NA><NA><NA><NA>122884서울특별시 은평구 신사동 ***-*번지서울특별시 은평구 증산로**길 ** (신사동)<NA>LOVELY KIDS2007-03-29 15:18:01I2018-08-31 23:59:59.0<NA>191743.749981454256.395508비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFF124107200200000120020521<NA>1영업/정상13영업중<NA><NA><NA><NA>362-5416<NA>122827서울특별시 은평구 녹번동 **-*번지 화랑빌딩*층서울특별시 은평구 통일로 *** (녹번동,화랑빌딩*층)<NA>맨토이필름2006-03-21 11:04:47I2018-08-31 23:59:59.0<NA>194151.113555455759.391538비디오물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFF124107200300000120030303<NA>1영업/정상13영업중<NA><NA><NA><NA>3142-0861<NA>122951서울특별시 은평구 응암동 ***-**번지<NA><NA>THE POWER R&E2006-02-09 13:34:21I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업유통관련업1<NA><NA>19.81<NA>단독주택<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
1123110000CDFF12410720230000202023-07-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-** 디우아르떼 아파트 ****호서울특별시 은평구 응암로**길 **, **층 ****호 (응암동, 디우아르떼 아파트)3484라이프피디아2023-07-17 16:22:12I2022-12-06 23:09:00.0<NA>192480.448629454130.620016<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1133110000CDFF12410720230000212023-08-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-** 삼인포스트빌 ***호서울특별시 은평구 연서로*길 *-*, ***호 (역촌동, 삼인포스트빌)3407라임하우스2023-08-29 15:34:51I2022-12-07 21:01:00.0<NA>192592.418981455542.222529<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1143110000CDFF12410720230000222023-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 수색동 *** DMC청구아파트 ***동 ***호서울특별시 은평구 증산로*길 **, ***동 *층 ***호 (수색동, DMC청구아파트)3505레드피치2023-10-18 10:23:28I2022-10-30 22:00:00.0<NA>191188.866536453162.84428<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1153110000CDFF12410720230000232023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 ***-* ***호서울특별시 은평구 증산로*길 **, ***호 (증산동)3493주식회사 더씨테크2023-12-05 16:42:48I2022-11-02 00:07:00.0<NA>191604.982722453525.608457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1163110000CDFF12410720240000012023-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 ***-**서울특별시 은평구 증산서길 **, *층 (증산동)3500(주)왓에버미디어컴2024-01-08 17:33:24I2023-11-30 23:00:00.0<NA>191555.444915453287.955707<NA><NA><NA><NA><NA><NA><NA><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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1183110000CDFF12410720240000032024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-** ***호서울특별시 은평구 통일로**길 **, *층 ***호 (불광동)3352선데이픽션(SUNDAYFICTION)2024-02-21 16:46:14I2023-12-01 22:03:00.0<NA>193437.991205457495.306055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193110000CDFF12410720240000042024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 *** 해태드림타운 ***호서울특별시 은평구 은평로 **, 지하*층 ***호 (응암동, 해태드림타운)3453산봉우리2024-03-19 15:31:55I2023-12-02 22:01:00.0<NA>192600.451567455197.919225<NA><NA><NA><NA><NA><NA><NA><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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