Overview

Dataset statistics

Number of variables56
Number of observations192
Missing cells5315
Missing cells (%)49.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.3 KiB
Average record size in memory486.7 B

Variable types

Categorical16
Text8
DateTime4
Unsupported22
Numeric6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17820/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
총층수 is highly imbalanced (61.4%)Imbalance
지하층수 is highly imbalanced (58.9%)Imbalance
건물용도명 is highly imbalanced (83.2%)Imbalance
인허가취소일자 has 192 (100.0%) missing valuesMissing
폐업일자 has 144 (75.0%) missing valuesMissing
휴업시작일자 has 192 (100.0%) missing valuesMissing
휴업종료일자 has 192 (100.0%) missing valuesMissing
재개업일자 has 192 (100.0%) missing valuesMissing
전화번호 has 142 (74.0%) missing valuesMissing
소재지면적 has 192 (100.0%) missing valuesMissing
소재지우편번호 has 135 (70.3%) missing valuesMissing
도로명주소 has 4 (2.1%) missing valuesMissing
도로명우편번호 has 72 (37.5%) missing valuesMissing
업태구분명 has 192 (100.0%) missing valuesMissing
좌표정보(X) has 4 (2.1%) missing valuesMissing
좌표정보(Y) has 4 (2.1%) missing valuesMissing
주변환경명 has 190 (99.0%) missing valuesMissing
제작취급품목내용 has 110 (57.3%) missing valuesMissing
시설면적 has 49 (25.5%) missing valuesMissing
지상층수 has 49 (25.5%) missing valuesMissing
비상계단여부 has 192 (100.0%) missing valuesMissing
비상구여부 has 192 (100.0%) missing valuesMissing
자동환기여부 has 192 (100.0%) missing valuesMissing
청소년실여부 has 192 (100.0%) missing valuesMissing
특수조명여부 has 192 (100.0%) missing valuesMissing
방음시설여부 has 192 (100.0%) missing valuesMissing
비디오재생기명 has 192 (100.0%) missing valuesMissing
조명시설유무 has 192 (100.0%) missing valuesMissing
음향시설여부 has 192 (100.0%) missing valuesMissing
편의시설여부 has 192 (100.0%) missing valuesMissing
소방시설여부 has 192 (100.0%) missing valuesMissing
기존게임업외업종명 has 192 (100.0%) missing valuesMissing
제공게임물명 has 192 (100.0%) missing valuesMissing
공연장형태구분명 has 192 (100.0%) missing valuesMissing
품목명 has 192 (100.0%) missing valuesMissing
최초등록시점 has 192 (100.0%) missing valuesMissing
지역구분명 has 188 (97.9%) 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
시설면적 has 97 (50.5%) zerosZeros
지상층수 has 132 (68.8%) zerosZeros

Reproduction

Analysis started2024-05-11 07:54:58.483347
Analysis finished2024-05-11 07:55:00.362348
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3180000
192 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 192
100.0%

Length

2024-05-11T07:55:00.577873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:01.045718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 192
100.0%

관리번호
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:55:01.613027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3840
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

Unique192 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061981000001
2nd rowCDFF3241061999000001
3rd rowCDFF3241061999000002
4th rowCDFF3241062000000001
5th rowCDFF3241062000000002
ValueCountFrequency (%)
cdff3241061981000001 1
 
0.5%
cdff3241061999000001 1
 
0.5%
cdff3241062019000009 1
 
0.5%
cdff3241062018000009 1
 
0.5%
cdff3241062018000010 1
 
0.5%
cdff3241062019000001 1
 
0.5%
cdff3241062019000002 1
 
0.5%
cdff3241062019000003 1
 
0.5%
cdff3241062019000004 1
 
0.5%
cdff3241062019000006 1
 
0.5%
Other values (182) 182
94.8%
2024-05-11T07:55:02.825438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1407
36.6%
2 501
 
13.0%
F 384
 
10.0%
1 356
 
9.3%
4 233
 
6.1%
3 229
 
6.0%
6 228
 
5.9%
C 192
 
5.0%
D 192
 
5.0%
5 34
 
0.9%
Other values (3) 84
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3072
80.0%
Uppercase Letter 768
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1407
45.8%
2 501
 
16.3%
1 356
 
11.6%
4 233
 
7.6%
3 229
 
7.5%
6 228
 
7.4%
5 34
 
1.1%
9 32
 
1.0%
8 28
 
0.9%
7 24
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 384
50.0%
C 192
25.0%
D 192
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3072
80.0%
Latin 768
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1407
45.8%
2 501
 
16.3%
1 356
 
11.6%
4 233
 
7.6%
3 229
 
7.5%
6 228
 
7.4%
5 34
 
1.1%
9 32
 
1.0%
8 28
 
0.9%
7 24
 
0.8%
Latin
ValueCountFrequency (%)
F 384
50.0%
C 192
25.0%
D 192
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1407
36.6%
2 501
 
13.0%
F 384
 
10.0%
1 356
 
9.3%
4 233
 
6.1%
3 229
 
6.0%
6 228
 
5.9%
C 192
 
5.0%
D 192
 
5.0%
5 34
 
0.9%
Other values (3) 84
 
2.2%

인허가일자
Date

Distinct188
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1981-06-26 00:00:00
Maximum2024-01-26 00:00:00
2024-05-11T07:55:03.373564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:55:03.922210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
144 
3
41 
5
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 144
75.0%
3 41
 
21.4%
5 7
 
3.6%

Length

2024-05-11T07:55:04.464551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:04.815462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 144
75.0%
3 41
 
21.4%
5 7
 
3.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
144 
폐업
41 
제외/삭제/전출
 
7

Length

Max length8
Median length5
Mean length4.46875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 144
75.0%
폐업 41
 
21.4%
제외/삭제/전출 7
 
3.6%

Length

2024-05-11T07:55:05.261422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:05.699091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 144
75.0%
폐업 41
 
21.4%
제외/삭제/전출 7
 
3.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
13
144 
3
41 
15
 
7

Length

Max length2
Median length2
Mean length1.7864583
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 144
75.0%
3 41
 
21.4%
15 7
 
3.6%

Length

2024-05-11T07:55:06.219653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:06.576156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 144
75.0%
3 41
 
21.4%
15 7
 
3.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업중
144 
폐업
41 
전출
 
7

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 144
75.0%
폐업 41
 
21.4%
전출 7
 
3.6%

Length

2024-05-11T07:55:07.053857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:07.477678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 144
75.0%
폐업 41
 
21.4%
전출 7
 
3.6%

폐업일자
Date

MISSING 

Distinct48
Distinct (%)100.0%
Missing144
Missing (%)75.0%
Memory size1.6 KiB
Minimum2008-02-11 00:00:00
Maximum2024-01-05 00:00:00
2024-05-11T07:55:07.845773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:55:08.416895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing142
Missing (%)74.0%
Memory size1.6 KiB
2024-05-11T07:55:09.180343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.86
Min length8

Characters and Unicode

Total characters543
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

Unique50 ?
Unique (%)100.0%

Sample

1st row786-1066
2nd row761-5100
3rd row031-961-6138~9
4th row781-8990~4
5th row785-0741~2
ValueCountFrequency (%)
02-784-4004 1
 
2.0%
786-1066 1
 
2.0%
070-7551-3673 1
 
2.0%
02-761-9688 1
 
2.0%
716-2770 1
 
2.0%
02-3439-0033 1
 
2.0%
02-6406-7262 1
 
2.0%
02-6261-5242 1
 
2.0%
02-831-3007 1
 
2.0%
02-2124-6000 1
 
2.0%
Other values (40) 40
80.0%
2024-05-11T07:55:10.526893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 89
16.4%
0 83
15.3%
2 74
13.6%
7 53
9.8%
1 42
7.7%
6 40
7.4%
3 36
6.6%
5 34
 
6.3%
8 33
 
6.1%
4 31
 
5.7%
Other values (2) 28
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
83.1%
Dash Punctuation 89
 
16.4%
Math Symbol 3
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
18.4%
2 74
16.4%
7 53
11.8%
1 42
9.3%
6 40
8.9%
3 36
8.0%
5 34
7.5%
8 33
 
7.3%
4 31
 
6.9%
9 25
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 89
16.4%
0 83
15.3%
2 74
13.6%
7 53
9.8%
1 42
7.7%
6 40
7.4%
3 36
6.6%
5 34
 
6.3%
8 33
 
6.1%
4 31
 
5.7%
Other values (2) 28
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 89
16.4%
0 83
15.3%
2 74
13.6%
7 53
9.8%
1 42
7.7%
6 40
7.4%
3 36
6.6%
5 34
 
6.3%
8 33
 
6.1%
4 31
 
5.7%
Other values (2) 28
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)59.6%
Missing135
Missing (%)70.3%
Infinite0
Infinite (%)0.0%
Mean150537.67
Minimum135892
Maximum150980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:55:11.026522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135892
5-th percentile150035.8
Q1150813
median150872
Q3150891
95-th percentile150914
Maximum150980
Range15088
Interquartile range (IQR)78

Descriptive statistics

Standard deviation1986.7957
Coefficient of variation (CV)0.013197997
Kurtosis55.525921
Mean150537.67
Median Absolute Deviation (MAD)24
Skewness-7.4097711
Sum8580647
Variance3947357.1
MonotonicityNot monotonic
2024-05-11T07:55:11.458637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
150896 10
 
5.2%
150868 3
 
1.6%
150891 3
 
1.6%
150874 3
 
1.6%
150870 2
 
1.0%
150871 2
 
1.0%
150749 2
 
1.0%
150829 2
 
1.0%
150872 2
 
1.0%
150914 2
 
1.0%
Other values (24) 26
 
13.5%
(Missing) 135
70.3%
ValueCountFrequency (%)
135892 1
0.5%
150010 1
0.5%
150031 1
0.5%
150037 1
0.5%
150045 1
0.5%
150714 2
1.0%
150715 1
0.5%
150727 1
0.5%
150732 1
0.5%
150749 2
1.0%
ValueCountFrequency (%)
150980 1
 
0.5%
150918 1
 
0.5%
150914 2
 
1.0%
150896 10
5.2%
150891 3
 
1.6%
150890 1
 
0.5%
150888 1
 
0.5%
150886 2
 
1.0%
150885 1
 
0.5%
150883 1
 
0.5%

지번주소
Text

Distinct169
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:55:12.493959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length30.239583
Min length19

Characters and Unicode

Total characters5806
Distinct characters189
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

Unique155 ?
Unique (%)80.7%

Sample

1st row서울특별시 영등포구 여의도동 **-**번지 남중빌딩***호
2nd row서울특별시 영등포구 여의도동 **-*번지 라이프콤비***호
3rd row서울특별시 영등포구 여의도동 **-*번지 라이프콤비***호
4th row서울특별시 영등포구 양평동*가 ***-*번지 동아빌딩***호
5th row서울특별시 영등포구 여의도동 **-*번지 금산빌딩**층
ValueCountFrequency (%)
서울특별시 192
19.0%
영등포구 191
18.9%
번지 121
11.9%
여의도동 92
9.1%
69
 
6.8%
호 43
 
4.2%
당산동*가 24
 
2.4%
대림동 23
 
2.3%
양평동*가 18
 
1.8%
층 15
 
1.5%
Other values (147) 225
22.2%
2024-05-11T07:55:13.755363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1045
18.0%
925
15.9%
동 221
 
3.8%
영 206
 
3.5%
포 203
 
3.5%
서 202
 
3.5%
등 202
 
3.5%
시 197
 
3.4%
울 195
 
3.4%
별 194
 
3.3%
Other values (179) 2216
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3648
62.8%
Other Punctuation 1049
 
18.1%
Space Separator 925
 
15.9%
Dash Punctuation 148
 
2.5%
Uppercase Letter 16
 
0.3%
Decimal Number 8
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 221
 
6.1%
영 206
 
5.6%
포 203
 
5.6%
서 202
 
5.5%
등 202
 
5.5%
시 197
 
5.4%
울 195
 
5.3%
별 194
 
5.3%
구 193
 
5.3%
특 192
 
5.3%
Other values (157) 1643
45.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
S 2
12.5%
E 2
12.5%
A 2
12.5%
N 1
 
6.2%
U 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
V 1
 
6.2%
K 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
1 2
25.0%
6 1
12.5%
0 1
12.5%
3 1
12.5%
5 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 1045
99.6%
, 4
 
0.4%
Space Separator
ValueCountFrequency (%)
925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3648
62.8%
Common 2142
36.9%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 221
 
6.1%
영 206
 
5.6%
포 203
 
5.6%
서 202
 
5.5%
등 202
 
5.5%
시 197
 
5.4%
울 195
 
5.3%
별 194
 
5.3%
구 193
 
5.3%
특 192
 
5.3%
Other values (157) 1643
45.0%
Common
ValueCountFrequency (%)
* 1045
48.8%
925
43.2%
- 148
 
6.9%
( 6
 
0.3%
) 6
 
0.3%
, 4
 
0.2%
2 2
 
0.1%
1 2
 
0.1%
6 1
 
< 0.1%
0 1
 
< 0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
B 4
25.0%
S 2
12.5%
E 2
12.5%
A 2
12.5%
N 1
 
6.2%
U 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
V 1
 
6.2%
K 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3648
62.8%
ASCII 2158
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1045
48.4%
925
42.9%
- 148
 
6.9%
( 6
 
0.3%
) 6
 
0.3%
, 4
 
0.2%
B 4
 
0.2%
S 2
 
0.1%
E 2
 
0.1%
2 2
 
0.1%
Other values (12) 14
 
0.6%
Hangul
ValueCountFrequency (%)
동 221
 
6.1%
영 206
 
5.6%
포 203
 
5.6%
서 202
 
5.5%
등 202
 
5.5%
시 197
 
5.4%
울 195
 
5.3%
별 194
 
5.3%
구 193
 
5.3%
특 192
 
5.3%
Other values (157) 1643
45.0%

도로명주소
Text

MISSING 

Distinct174
Distinct (%)92.6%
Missing4
Missing (%)2.1%
Memory size1.6 KiB
2024-05-11T07:55:14.384403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length38.085106
Min length24

Characters and Unicode

Total characters7160
Distinct characters197
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

Unique166 ?
Unique (%)88.3%

Sample

1st row서울특별시 영등포구 국회대로**길 **, ***호 (여의도동, 남중빌딩)
2nd row서울특별시 영등포구 **로 ** (여의도동,라이프콤비***호)
3rd row서울특별시 영등포구 **로 ** (여의도동,라이프콤비***호)
4th row서울특별시 영등포구 양평로 ** (양평동*가,동아빌딩***호)
5th row서울특별시 영등포구 국회대로 *** (여의도동,금산빌딩**층)
ValueCountFrequency (%)
서울특별시 188
15.5%
영등포구 187
15.5%
186
15.4%
호 80
 
6.6%
층 40
 
3.3%
여의도동 38
 
3.1%
대림동 22
 
1.8%
당산동*가 22
 
1.8%
국회대로**길 22
 
1.8%
국제금융로*길 16
 
1.3%
Other values (211) 409
33.8%
2024-05-11T07:55:16.178266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1170
 
16.3%
1085
 
15.2%
동 222
 
3.1%
, 219
 
3.1%
영 216
 
3.0%
서 208
 
2.9%
포 206
 
2.9%
등 205
 
2.9%
시 193
 
2.7%
별 190
 
2.7%
Other values (187) 3246
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4251
59.4%
Other Punctuation 1389
 
19.4%
Space Separator 1085
 
15.2%
Open Punctuation 190
 
2.7%
Close Punctuation 190
 
2.7%
Dash Punctuation 23
 
0.3%
Uppercase Letter 21
 
0.3%
Decimal Number 10
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 222
 
5.2%
영 216
 
5.1%
서 208
 
4.9%
포 206
 
4.8%
등 205
 
4.8%
시 193
 
4.5%
별 190
 
4.5%
울 190
 
4.5%
구 189
 
4.4%
로 189
 
4.4%
Other values (165) 2243
52.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
28.6%
A 5
23.8%
S 2
 
9.5%
E 2
 
9.5%
T 1
 
4.8%
R 1
 
4.8%
N 1
 
4.8%
U 1
 
4.8%
V 1
 
4.8%
K 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
2 3
30.0%
8 1
 
10.0%
4 1
 
10.0%
7 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 1170
84.2%
, 219
 
15.8%
Space Separator
ValueCountFrequency (%)
1085
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4251
59.4%
Common 2888
40.3%
Latin 21
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 222
 
5.2%
영 216
 
5.1%
서 208
 
4.9%
포 206
 
4.8%
등 205
 
4.8%
시 193
 
4.5%
별 190
 
4.5%
울 190
 
4.5%
구 189
 
4.4%
로 189
 
4.4%
Other values (165) 2243
52.8%
Common
ValueCountFrequency (%)
* 1170
40.5%
1085
37.6%
, 219
 
7.6%
( 190
 
6.6%
) 190
 
6.6%
- 23
 
0.8%
1 4
 
0.1%
2 3
 
0.1%
~ 1
 
< 0.1%
8 1
 
< 0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
B 6
28.6%
A 5
23.8%
S 2
 
9.5%
E 2
 
9.5%
T 1
 
4.8%
R 1
 
4.8%
N 1
 
4.8%
U 1
 
4.8%
V 1
 
4.8%
K 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4251
59.4%
ASCII 2909
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1170
40.2%
1085
37.3%
, 219
 
7.5%
( 190
 
6.5%
) 190
 
6.5%
- 23
 
0.8%
B 6
 
0.2%
A 5
 
0.2%
1 4
 
0.1%
2 3
 
0.1%
Other values (12) 14
 
0.5%
Hangul
ValueCountFrequency (%)
동 222
 
5.2%
영 216
 
5.1%
서 208
 
4.9%
포 206
 
4.8%
등 205
 
4.8%
시 193
 
4.5%
별 190
 
4.5%
울 190
 
4.5%
구 189
 
4.4%
로 189
 
4.4%
Other values (165) 2243
52.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)59.2%
Missing72
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean9681.0333
Minimum7203
Maximum150825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:55:16.712852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7203
5-th percentile7208
Q17237
median7271.5
Q37345
95-th percentile7422.3
Maximum150825
Range143622
Interquartile range (IQR)108

Descriptive statistics

Standard deviation18405.363
Coefficient of variation (CV)1.9011775
Kurtosis57.431558
Mean9681.0333
Median Absolute Deviation (MAD)48.5
Skewness7.6467747
Sum1161724
Variance3.3875739 × 108
MonotonicityNot monotonic
2024-05-11T07:55:17.326671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7236 5
 
2.6%
7238 5
 
2.6%
7418 4
 
2.1%
7345 4
 
2.1%
7239 4
 
2.1%
7208 3
 
1.6%
7217 3
 
1.6%
7237 3
 
1.6%
7220 3
 
1.6%
7259 3
 
1.6%
Other values (61) 83
43.2%
(Missing) 72
37.5%
ValueCountFrequency (%)
7203 2
1.0%
7205 1
 
0.5%
7206 1
 
0.5%
7208 3
1.6%
7212 1
 
0.5%
7217 3
1.6%
7218 1
 
0.5%
7220 3
1.6%
7222 2
1.0%
7223 1
 
0.5%
ValueCountFrequency (%)
150825 1
 
0.5%
150102 1
 
0.5%
7448 1
 
0.5%
7447 1
 
0.5%
7433 1
 
0.5%
7428 1
 
0.5%
7422 1
 
0.5%
7421 1
 
0.5%
7420 2
1.0%
7418 4
2.1%

사업장명
Text

Distinct190
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T07:55:18.053890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.8020833
Min length2

Characters and Unicode

Total characters1690
Distinct characters308
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)97.9%

Sample

1st row(주)봄여름가을겨울엔터테인먼트
2nd row(주)레벌루션넘버나인210
3rd row(주)백상미디어
4th row(주)케이알씨넷
5th row이이드림 미디어(주)
ValueCountFrequency (%)
주식회사 31
 
11.8%
노래뮤비방 3
 
1.1%
엔터테인먼트 3
 
1.1%
스튜디오 3
 
1.1%
주)아지기획 2
 
0.8%
타타타노래뮤비방 2
 
0.8%
채널5 2
 
0.8%
와이유엠피 1
 
0.4%
주)봄여름가을겨울엔터테인먼트 1
 
0.4%
손말미디어 1
 
0.4%
Other values (213) 213
81.3%
2024-05-11T07:55:19.634024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 100
 
5.9%
( 83
 
4.9%
) 83
 
4.9%
70
 
4.1%
이 56
 
3.3%
사 40
 
2.4%
스 39
 
2.3%
식 33
 
2.0%
회 33
 
2.0%
디 31
 
1.8%
Other values (298) 1122
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1256
74.3%
Uppercase Letter 92
 
5.4%
Lowercase Letter 85
 
5.0%
Open Punctuation 83
 
4.9%
Close Punctuation 83
 
4.9%
Space Separator 70
 
4.1%
Decimal Number 16
 
0.9%
Dash Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 100
 
8.0%
이 56
 
4.5%
사 40
 
3.2%
스 39
 
3.1%
식 33
 
2.6%
회 33
 
2.6%
디 31
 
2.5%
뮤 29
 
2.3%
비 29
 
2.3%
트 28
 
2.2%
Other values (241) 838
66.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
 
12.0%
C 7
 
7.6%
O 7
 
7.6%
P 6
 
6.5%
U 6
 
6.5%
R 6
 
6.5%
K 6
 
6.5%
E 5
 
5.4%
A 5
 
5.4%
B 5
 
5.4%
Other values (14) 28
30.4%
Lowercase Letter
ValueCountFrequency (%)
o 9
10.6%
i 9
10.6%
a 8
 
9.4%
d 8
 
9.4%
e 6
 
7.1%
s 6
 
7.1%
m 5
 
5.9%
n 5
 
5.9%
r 5
 
5.9%
t 4
 
4.7%
Other values (11) 20
23.5%
Decimal Number
ValueCountFrequency (%)
8 4
25.0%
6 3
18.8%
5 3
18.8%
3 2
12.5%
2 2
12.5%
0 1
 
6.2%
1 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1254
74.2%
Common 257
 
15.2%
Latin 177
 
10.5%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 100
 
8.0%
이 56
 
4.5%
사 40
 
3.2%
스 39
 
3.1%
식 33
 
2.6%
회 33
 
2.6%
디 31
 
2.5%
뮤 29
 
2.3%
비 29
 
2.3%
트 28
 
2.2%
Other values (239) 836
66.7%
Latin
ValueCountFrequency (%)
S 11
 
6.2%
o 9
 
5.1%
i 9
 
5.1%
a 8
 
4.5%
d 8
 
4.5%
C 7
 
4.0%
O 7
 
4.0%
e 6
 
3.4%
P 6
 
3.4%
U 6
 
3.4%
Other values (35) 100
56.5%
Common
ValueCountFrequency (%)
( 83
32.3%
) 83
32.3%
70
27.2%
8 4
 
1.6%
6 3
 
1.2%
5 3
 
1.2%
- 3
 
1.2%
3 2
 
0.8%
2 2
 
0.8%
, 2
 
0.8%
Other values (2) 2
 
0.8%
Han
ValueCountFrequency (%)
美 1
50.0%
路 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1254
74.2%
ASCII 434
 
25.7%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 100
 
8.0%
이 56
 
4.5%
사 40
 
3.2%
스 39
 
3.1%
식 33
 
2.6%
회 33
 
2.6%
디 31
 
2.5%
뮤 29
 
2.3%
비 29
 
2.3%
트 28
 
2.2%
Other values (239) 836
66.7%
ASCII
ValueCountFrequency (%)
( 83
19.1%
) 83
19.1%
70
16.1%
S 11
 
2.5%
o 9
 
2.1%
i 9
 
2.1%
a 8
 
1.8%
d 8
 
1.8%
C 7
 
1.6%
O 7
 
1.6%
Other values (47) 139
32.0%
CJK
ValueCountFrequency (%)
美 1
50.0%
路 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2006-02-22 11:34:34
Maximum2024-05-08 10:07:27
2024-05-11T07:55:20.086605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:55:20.722149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
157 
U
35 

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 157
81.8%
U 35
 
18.2%

Length

2024-05-11T07:55:21.178957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:22.003467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 157
81.8%
u 35
 
18.2%

데이터갱신일자
Date

Distinct84
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T07:55:22.547038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:55:23.141290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)74.5%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean192237.49
Minimum189700.36
Maximum202447.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:55:23.821566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189700.36
5-th percentile190273.3
Q1190941.05
median192543.99
Q3193301.67
95-th percentile194530.54
Maximum202447.85
Range12747.493
Interquartile range (IQR)2360.6174

Descriptive statistics

Standard deviation1545.8146
Coefficient of variation (CV)0.0080411716
Kurtosis8.5055034
Mean192237.49
Median Absolute Deviation (MAD)1262.5707
Skewness1.5474485
Sum36140648
Variance2389542.9
MonotonicityNot monotonic
2024-05-11T07:55:24.445041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194530.535390096 11
 
5.7%
193282.654266684 8
 
4.2%
193469.554731741 5
 
2.6%
191275.621528556 3
 
1.6%
194561.746032498 3
 
1.6%
190941.054351896 3
 
1.6%
192785.997964211 3
 
1.6%
190483.297508855 3
 
1.6%
191596.644851922 2
 
1.0%
192739.314354154 2
 
1.0%
Other values (130) 145
75.5%
(Missing) 4
 
2.1%
ValueCountFrequency (%)
189700.355755718 1
0.5%
189849.410292461 1
0.5%
189887.928482279 1
0.5%
189942.612165832 1
0.5%
189959.044020878 1
0.5%
190023.48828661 1
0.5%
190107.95828772 1
0.5%
190117.587255239 1
0.5%
190246.928889433 1
0.5%
190266.579204407 1
0.5%
ValueCountFrequency (%)
202447.848471025 1
 
0.5%
194561.746032498 3
 
1.6%
194530.535390096 11
5.7%
194504.656267957 1
 
0.5%
194118.138008329 2
 
1.0%
193816.116765842 1
 
0.5%
193798.948251805 1
 
0.5%
193767.829589155 1
 
0.5%
193765.78367653 1
 
0.5%
193749.233907174 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)74.5%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean446486.53
Minimum442863.01
Maximum448699.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:55:24.975872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442863.01
5-th percentile443304.32
Q1446306.79
median446766.55
Q3447399.07
95-th percentile448212.35
Maximum448699.97
Range5836.9599
Interquartile range (IQR)1092.2851

Descriptive statistics

Standard deviation1344.1847
Coefficient of variation (CV)0.0030105829
Kurtosis0.92411511
Mean446486.53
Median Absolute Deviation (MAD)576.14735
Skewness-1.2305976
Sum83939468
Variance1806832.5
MonotonicityNot monotonic
2024-05-11T07:55:25.503500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446306.787198089 11
 
5.7%
447611.552045596 8
 
4.2%
446508.068667777 5
 
2.6%
443276.165344025 3
 
1.6%
446364.318286465 3
 
1.6%
447628.862085473 3
 
1.6%
447523.1165117 3
 
1.6%
446975.595771463 3
 
1.6%
447999.544195689 2
 
1.0%
446552.469845648 2
 
1.0%
Other values (130) 145
75.5%
(Missing) 4
 
2.1%
ValueCountFrequency (%)
442863.012586406 1
 
0.5%
442979.267057594 1
 
0.5%
442987.124918789 1
 
0.5%
443048.713044952 1
 
0.5%
443236.05842825 2
1.0%
443237.216705215 1
 
0.5%
443276.165344025 3
1.6%
443356.603865789 1
 
0.5%
443464.033607263 2
1.0%
443538.520261229 1
 
0.5%
ValueCountFrequency (%)
448699.972523898 1
0.5%
448688.063338724 1
0.5%
448513.08919512 1
0.5%
448343.615416017 1
0.5%
448289.617887109 2
1.0%
448237.835542077 1
0.5%
448224.111919951 2
1.0%
448223.495619053 1
0.5%
448191.644571742 1
0.5%
448015.36394826 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
음반.음악영상물제작업
143 
<NA>
49 

Length

Max length11
Median length11
Mean length9.2135417
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:26.194664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:26.758316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 143
74.5%
na 49
 
25.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유통관련업
143 
<NA>
49 

Length

Max length5
Median length5
Mean length4.7447917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:27.371778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:27.780088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 143
74.5%
na 49
 
25.5%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
139 
<NA>
49 
10
 
1
6
 
1
1
 
1

Length

Max length4
Median length1
Mean length1.7708333
Min length1

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 139
72.4%
<NA> 49
 
25.5%
10 1
 
0.5%
6 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%

Length

2024-05-11T07:55:28.316198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:28.877573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 139
72.4%
na 49
 
25.5%
10 1
 
0.5%
6 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing190
Missing (%)99.0%
Memory size1.6 KiB
2024-05-11T07:55:29.314615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row주택가주변
ValueCountFrequency (%)
주택가주변 2
100.0%
2024-05-11T07:55:30.120498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
40.0%
택 2
20.0%
가 2
20.0%
변 2
20.0%

제작취급품목내용
Text

MISSING 

Distinct61
Distinct (%)74.4%
Missing110
Missing (%)57.3%
Memory size1.6 KiB
2024-05-11T07:55:30.711996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length10.121951
Min length2

Characters and Unicode

Total characters830
Distinct characters96
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)63.4%

Sample

1st row음반
2nd row음반
3rd row음반
4th row음반 음악영상물
5th row음반 음악영상물
ValueCountFrequency (%)
음반 23
 
13.2%
음악영상물 17
 
9.8%
제작 11
 
6.3%
영상물 10
 
5.7%
및 9
 
5.2%
음악 8
 
4.6%
뮤직비디오 8
 
4.6%
음반,음악영상물 7
 
4.0%
녹음 5
 
2.9%
방송프로그램 5
 
2.9%
Other values (53) 71
40.8%
2024-05-11T07:55:32.038437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 113
13.6%
92
 
11.1%
상 64
 
7.7%
영 63
 
7.6%
, 58
 
7.0%
물 52
 
6.3%
악 49
 
5.9%
반 48
 
5.8%
작 21
 
2.5%
제 20
 
2.4%
Other values (86) 250
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
77.2%
Space Separator 92
 
11.1%
Other Punctuation 63
 
7.6%
Uppercase Letter 26
 
3.1%
Lowercase Letter 6
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 113
17.6%
상 64
 
10.0%
영 63
 
9.8%
물 52
 
8.1%
악 49
 
7.6%
반 48
 
7.5%
작 21
 
3.3%
제 20
 
3.1%
오 13
 
2.0%
디 13
 
2.0%
Other values (66) 185
28.9%
Uppercase Letter
ValueCountFrequency (%)
D 9
34.6%
S 7
26.9%
C 3
 
11.5%
U 2
 
7.7%
B 1
 
3.8%
V 1
 
3.8%
W 1
 
3.8%
A 1
 
3.8%
M 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
p 2
33.3%
b 1
16.7%
e 1
16.7%
u 1
16.7%
t 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 58
92.1%
. 4
 
6.3%
/ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
77.2%
Common 157
 
18.9%
Latin 32
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 113
17.6%
상 64
 
10.0%
영 63
 
9.8%
물 52
 
8.1%
악 49
 
7.6%
반 48
 
7.5%
작 21
 
3.3%
제 20
 
3.1%
오 13
 
2.0%
디 13
 
2.0%
Other values (66) 185
28.9%
Latin
ValueCountFrequency (%)
D 9
28.1%
S 7
21.9%
C 3
 
9.4%
U 2
 
6.2%
p 2
 
6.2%
b 1
 
3.1%
B 1
 
3.1%
V 1
 
3.1%
e 1
 
3.1%
W 1
 
3.1%
Other values (4) 4
12.5%
Common
ValueCountFrequency (%)
92
58.6%
, 58
36.9%
. 4
 
2.5%
/ 1
 
0.6%
) 1
 
0.6%
( 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
77.2%
ASCII 189
 
22.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 113
17.6%
상 64
 
10.0%
영 63
 
9.8%
물 52
 
8.1%
악 49
 
7.6%
반 48
 
7.5%
작 21
 
3.3%
제 20
 
3.1%
오 13
 
2.0%
디 13
 
2.0%
Other values (66) 185
28.9%
ASCII
ValueCountFrequency (%)
92
48.7%
, 58
30.7%
D 9
 
4.8%
S 7
 
3.7%
. 4
 
2.1%
C 3
 
1.6%
U 2
 
1.1%
p 2
 
1.1%
b 1
 
0.5%
B 1
 
0.5%
Other values (10) 10
 
5.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)31.5%
Missing49
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean34.207203
Minimum0
Maximum330
Zeros97
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:55:32.547588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334.21
95-th percentile172.498
Maximum330
Range330
Interquartile range (IQR)34.21

Descriptive statistics

Standard deviation67.721267
Coefficient of variation (CV)1.979737
Kurtosis5.5618882
Mean34.207203
Median Absolute Deviation (MAD)0
Skewness2.376952
Sum4891.63
Variance4586.1699
MonotonicityNot monotonic
2024-05-11T07:55:33.014334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 97
50.5%
33.0 2
 
1.0%
32.89 2
 
1.0%
38.0 1
 
0.5%
150.0 1
 
0.5%
24.0 1
 
0.5%
83.11 1
 
0.5%
87.7 1
 
0.5%
133.72 1
 
0.5%
55.44 1
 
0.5%
Other values (35) 35
 
18.2%
(Missing) 49
25.5%
ValueCountFrequency (%)
0.0 97
50.5%
9.9 1
 
0.5%
11.4 1
 
0.5%
14.05 1
 
0.5%
16.0 1
 
0.5%
24.0 1
 
0.5%
26.82 1
 
0.5%
32.89 2
 
1.0%
33.0 2
 
1.0%
35.42 1
 
0.5%
ValueCountFrequency (%)
330.0 1
0.5%
296.25 1
0.5%
287.97 1
0.5%
264.0 1
0.5%
240.0 1
0.5%
220.0 1
0.5%
176.87 1
0.5%
173.63 1
0.5%
162.31 1
0.5%
158.0 1
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.9%
Missing49
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean0.3986014
Minimum0
Maximum10
Zeros132
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T07:55:33.429682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6321586
Coefficient of variation (CV)4.0947137
Kurtosis21.527571
Mean0.3986014
Median Absolute Deviation (MAD)0
Skewness4.6282851
Sum57
Variance2.6639417
MonotonicityNot monotonic
2024-05-11T07:55:33.912722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 132
68.8%
2 4
 
2.1%
5 2
 
1.0%
9 2
 
1.0%
8 1
 
0.5%
10 1
 
0.5%
3 1
 
0.5%
(Missing) 49
 
25.5%
ValueCountFrequency (%)
0 132
68.8%
2 4
 
2.1%
3 1
 
0.5%
5 2
 
1.0%
8 1
 
0.5%
9 2
 
1.0%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
9 2
 
1.0%
8 1
 
0.5%
5 2
 
1.0%
3 1
 
0.5%
2 4
 
2.1%
0 132
68.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
140 
<NA>
49 
2
 
1
1
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.765625
Min length1

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 140
72.9%
<NA> 49
 
25.5%
2 1
 
0.5%
1 1
 
0.5%
4 1
 
0.5%

Length

2024-05-11T07:55:34.479013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:35.007565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 140
72.9%
na 49
 
25.5%
2 1
 
0.5%
1 1
 
0.5%
4 1
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
183 
사무실
 
5
근린생활시설
 
3
단독주택
 
1

Length

Max length6
Median length4
Mean length4.0052083
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 183
95.3%
사무실 5
 
2.6%
근린생활시설 3
 
1.6%
단독주택 1
 
0.5%

Length

2024-05-11T07:55:35.438064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:35.886578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
95.3%
사무실 5
 
2.6%
근린생활시설 3
 
1.6%
단독주택 1
 
0.5%

통로너비
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
49 

Length

Max length4
Median length1
Mean length1.765625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:36.499463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:37.051814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
74.5%
na 49
 
25.5%

조명시설조도
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
49 

Length

Max length4
Median length1
Mean length1.765625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:37.431607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:37.778947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
74.5%
na 49
 
25.5%

노래방실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
49 

Length

Max length4
Median length1
Mean length1.765625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:38.147918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:38.515999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
74.5%
na 49
 
25.5%

청소년실수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
49 

Length

Max length4
Median length1
Mean length1.765625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:38.879456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:39.236545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
74.5%
na 49
 
25.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
143 
<NA>
49 

Length

Max length4
Median length1
Mean length1.765625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 143
74.5%
<NA> 49
 
25.5%

Length

2024-05-11T07:55:39.558642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:55:39.943758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
74.5%
na 49
 
25.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing192
Missing (%)100.0%
Memory size1.8 KiB

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing188
Missing (%)97.9%
Memory size1.6 KiB
2024-05-11T07:55:40.156427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.75
Min length5

Characters and Unicode

Total characters23
Distinct characters10
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 (%)50.0%

Sample

1st row준공업지역
2nd row일반주거지역
3rd row일반상업지역
4th row일반주거지역
ValueCountFrequency (%)
일반주거지역 2
50.0%
준공업지역 1
25.0%
일반상업지역 1
25.0%
2024-05-11T07:55:40.684784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 2
8.7%
거 2
8.7%
업 2
8.7%
준 1
 
4.3%
공 1
 
4.3%
상 1
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 2
8.7%
거 2
8.7%
업 2
8.7%
준 1
 
4.3%
공 1
 
4.3%
상 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 2
8.7%
거 2
8.7%
업 2
8.7%
준 1
 
4.3%
공 1
 
4.3%
상 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
17.4%
역 4
17.4%
일 3
13.0%
반 3
13.0%
주 2
8.7%
거 2
8.7%
업 2
8.7%
준 1
 
4.3%
공 1
 
4.3%
상 1
 
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF324106198100000119810626<NA>1영업/정상13영업중<NA><NA><NA><NA>786-1066<NA><NA>서울특별시 영등포구 여의도동 **-**번지 남중빌딩***호서울특별시 영등포구 국회대로**길 **, ***호 (여의도동, 남중빌딩)7238(주)봄여름가을겨울엔터테인먼트2011-10-31 10:27:56I2018-08-31 23:59:59.0<NA>192956.12543447539.749512음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13180000CDFF324106199900000119991115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150896서울특별시 영등포구 여의도동 **-*번지 라이프콤비***호서울특별시 영등포구 **로 ** (여의도동,라이프콤비***호)<NA>(주)레벌루션넘버나인2102006-03-14 17:03:16I2018-08-31 23:59:59.0<NA>194530.53539446306.787198음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23180000CDFF324106199900000219991028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150896서울특별시 영등포구 여의도동 **-*번지 라이프콤비***호서울특별시 영등포구 **로 ** (여의도동,라이프콤비***호)<NA>(주)백상미디어2006-03-14 17:07:58I2018-08-31 23:59:59.0<NA>194530.53539446306.787198음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33180000CDFF324106200000000120001207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150867서울특별시 영등포구 양평동*가 ***-*번지 동아빌딩***호서울특별시 영등포구 양평로 ** (양평동*가,동아빌딩***호)<NA>(주)케이알씨넷2006-02-22 18:04:54I2018-08-31 23:59:59.0<NA>190962.877779448191.644572음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43180000CDFF324106200000000220000626<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150727서울특별시 영등포구 여의도동 **-*번지 금산빌딩**층서울특별시 영등포구 국회대로 *** (여의도동,금산빌딩**층)<NA>이이드림 미디어(주)2006-03-10 10:19:18I2018-08-31 23:59:59.0<NA>192549.933121447340.688671음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53180000CDFF324106200000000320000921<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150859서울특별시 영등포구 신길동 ****-*번지 *층<NA><NA>멀티뮤직시스템2006-03-14 16:18:19I2018-08-31 23:59:59.0<NA>192339.003085444053.560629음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63180000CDFF324106200000000420000909<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150896서울특별시 영등포구 여의도동 **-*번지 라이프오피스텔***호서울특별시 영등포구 **로 ** (여의도동,라이프오피스텔***호)<NA>(주)뮤직팩토리2006-03-14 16:22:03I2018-08-31 23:59:59.0<NA>194561.746032446364.318286음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73180000CDFF324106200000000520000527<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150890서울특별시 영등포구 여의도동 **-**번지 유니온타워***호서울특별시 영등포구 여의대방로**길 ** (여의도동,유니온타워***호)<NA>(주)마이코미디어2006-03-14 16:25:25I2018-08-31 23:59:59.0<NA>193765.783677446354.054068음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83180000CDFF324106200000000620000415<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150896서울특별시 영등포구 여의도동 **-*번지 라이프오피스텔***호서울특별시 영등포구 **로 ** (여의도동,라이프오피스텔***호)<NA>신스엔터테인먼트2006-03-14 16:28:41I2018-08-31 23:59:59.0<NA>194561.746032446364.318286음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93180000CDFF324106200000000720000209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150886서울특별시 영등포구 여의도동 **-*번지 오륜빌딩***호서울특별시 영등포구 국제금융로*길 ** (여의도동,오륜빌딩***호)<NA>(주)케이에스미디어2006-03-14 16:50:21I2018-08-31 23:59:59.0<NA>193500.284361446443.965497음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1823180000CDFF32410620230000062023-07-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-** 가든빌딩서울특별시 영등포구 국회대로**길 **, 가든빌딩 ***호 (여의도동)7238(주)에이아이빌2023-07-11 15:24:12I2022-12-06 23:03:00.0<NA>192969.820841447419.648688<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1833180000CDFF32410620230000072022-12-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 ***-* 협신빌딩서울특별시 영등포구 선유로**길 *-*, 협신빌딩 지층 (양평동*가)7206(주)얼데이2023-08-10 09:28:38I2022-12-07 23:02:00.0<NA>190871.407512448343.615416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1843180000CDFF32410620230000082023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동*가 **-** 원청빌딩서울특별시 영등포구 국회대로**길 **, 원청빌딩 지층 (당산동*가)7220콰가컬쳐레이블2023-08-10 15:14:41I2022-12-07 23:02:00.0<NA>191105.258666447371.545569<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1853180000CDFF32410620230000092023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 오투타워서울특별시 영등포구 의사당대로 **, 오투타워 *층 (여의도동)7325주식회사 나이비2023-09-25 14:41:47I2022-12-08 22:07:00.0<NA>193165.490137446797.341447<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1863180000CDFF32410620230000102008-10-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 **-**서울특별시 영등포구 국회대로 ***, ***-***호 (영등포동*가)7245주식회사 에프앤이노에듀2023-10-26 13:34:23I2022-10-30 22:08:00.0<NA>191465.917538447019.85248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1873180000CDFF32410620230000112023-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 리버타워서울특별시 영등포구 **로 **, ****호 (여의도동, 리버타워)7345도화지(dohwaji)2023-12-13 16:12:22I2022-11-01 23:05:00.0<NA>194504.656268446355.021492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1883180000CDFF32410620240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 *-**서울특별시 영등포구 영등포로**길 *, ***호 (영등포동*가)7303신경환연구소2024-01-17 09:48:11I2023-11-30 23:09:00.0<NA>191794.878496446308.783186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1893180000CDFF32410620240000022024-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 극동브이아이피빌딩서울특별시 영등포구 국회대로**길 **-*, 극동브이아이피빌딩 ****호 (여의도동)7238(주)엔엘티원2024-01-26 11:02:29I2023-11-30 22:08:00.0<NA>192883.820839447484.878116<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1903180000CDFF32410620240000032018-10-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 ** 파크원서울특별시 영등포구 여의대로 ***, 파크원 **층 (여의도동)7335주식회사 디노마드2024-01-30 13:19:28I2023-12-02 00:01:00.0<NA>193592.00038447092.629433<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1913180000CDFF32410620240000042021-07-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 오투타워서울특별시 영등포구 의사당대로 **, 오투타워 **층 (여의도동)7325주식회사 아이피샵2024-04-04 09:27:06I2023-12-04 00:06:00.0<NA>193165.490137446797.341447<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>